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Mindlessly trying to waste some time lately by browsing for anything classified as a reflection nebula in the archive lately. This one is apparently a preplanetary nebula with the typical bipolar structure. Interestingly, the knots and linear formations seem fuzzier than other preplanetary nebulas I've processed. Not sure what that means if anything.

 

Data from the following proposal were used to create this image:

When does Bipolarity Impose itself on the Extreme Mass Outflows from AGB Stars? An ACS SNAPshot Survey

 

I removed the occulting finger by using the content-aware fill tool (smart data cloning).

 

Red: ACS/HRC F814W

Green: Pseudo

Blue: ACS/HRC F606W

 

North is up.

Nigel Cannings CEO of Intelligent Voice www.intelligentvoice.com/

Intelligent Voice® takes your company's phone calls (and email and IM) and turns them into smart data using "World's Fastest" Speech to Text Engine

041

Fortune Brainstorm HEALTH 2018

Tuesday, March 20th, 2018

Laguna Niguel, CA

 

4:05 PM

TAKE TWO TERABYTES AND CALL ME IN THE MORNING: DATA’S GROWING ROLE IN THE MEDICAL TOOL BOX

At the core of precision medicine is precision: the critical need to hit, square on, a moving target in a body chock full of moving targets. To keep the aim sound, we need more than a steady hand, we need data. Smart data, and lots of it. That imperative has driven much of the innovation—and investment—in the current digital health transformation. Entrepreneurs and corporate leaders are now championing the role of big data in everything from drug development to predictive analytics in cancer diagnosis to hospital systems management—and putting billions of dollars behind these efforts. Do the numbers add up, or is the promise of big data yet another false medical miracle?

  

Dr. Amy Abernethy, Chief Medical Officer, Chief Scientific Officer, and Senior Vice President, Oncology, Flatiron Health

Dr. Kyu Rhee, Vice President and Chief Health Officer, IBM Corporation

Dr. Mona Siddiqui, Chief Data Officer, U.S. Dept. of Health and Human Services

 

Photograph by Stuart Isett/Fortune

041

Fortune Brainstorm HEALTH 2018

Tuesday, March 20th, 2018

Laguna Niguel, CA

 

4:05 PM

TAKE TWO TERABYTES AND CALL ME IN THE MORNING: DATA’S GROWING ROLE IN THE MEDICAL TOOL BOX

At the core of precision medicine is precision: the critical need to hit, square on, a moving target in a body chock full of moving targets. To keep the aim sound, we need more than a steady hand, we need data. Smart data, and lots of it. That imperative has driven much of the innovation—and investment—in the current digital health transformation. Entrepreneurs and corporate leaders are now championing the role of big data in everything from drug development to predictive analytics in cancer diagnosis to hospital systems management—and putting billions of dollars behind these efforts. Do the numbers add up, or is the promise of big data yet another false medical miracle?

  

Dr. Amy Abernethy, Chief Medical Officer, Chief Scientific Officer, and Senior Vice President, Oncology, Flatiron Health

Dr. Kyu Rhee, Vice President and Chief Health Officer, IBM Corporation

Dr. Mona Siddiqui, Chief Data Officer, U.S. Dept. of Health and Human Services

 

Photograph by Stuart Isett/Fortune

Public-Cloud-Lösungen bieten heute die Skalierbarkeit, Rechenleistung, Speicherplatz und Sicherheit, um digitale Behördenplattformen zu ermöglichen und die steigenden Erwartungen in Bezug auf Leistung und Nutzen zu erfüllen. Das IT Research- und Beratungsunternehmen Gartner prognostiziert, dass bis 2018 der Sicherheitsaspekt der Grund sein wird, weshalb Behörden in die Public Cloud wechseln werden – soweit die Gesetzgebung dies erlaubt. Weitere Gründe sind Kostenersparnis und Agilität.

  

Gartner Says Security Will Displace Cost and Agility as Primary Reason Government Agencies Move to Cloud

STAMFORD, Conn., January 20, 2016 — Public cloud options now offer the scalability, computing power, storage and security to better enable digital government platforms and meet rising expectations for performance and value, according to Gartner, Inc.

 

Gartner predicts that by 2018, increased security will displace cost savings and agility as the primary driver for government agencies to move to public cloud within their jurisdictions.

 

»Many cloud service providers, such as Amazon Web Services, Microsoft and Google, invest heavily in incorporating higher levels of security into their products to continue building confidence that their data is more secure,« said Neville Cannon, research director at Gartner. »Many of these providers can invest more than what most nations could afford, let alone the average government agency.«

 

Mr Cannon said that hindrances remain, however, as nationalism and concerns about data sovereignty will slow benefit realisation, as cost savings and agility are maintained as subsidiary drivers in the belief that data is more secure when retained within its jurisdiction.

 

Adoption will start to accelerate, and subject to appropriate analysis of the risks involved, the provider's capabilities and the technologies chosen to protect the data, public sector CIOs should look to use public cloud for hosting both public and low-to-medium levels of sensitive data.

 

Gartner's additional predictions for the government sector include:

 

By 2018, more than 50 per cent of the Tier 1 support services at government contact centres will be provided by virtual personal assistants.

»To improve efficiency and optimise business outcomes, government agencies are experimenting with smart machine technologies, such as virtual assistants, to deliver frontline services,« said Rick Howard, research director at Gartner. »Advances in cognitive learning and natural-language processing technologies have reached the stage of commercial viability that government CIOs can factor them into technology roadmaps.«

Deploying virtual personal assistants to conduct lower-level business functions, such as Tier 1 support services or claims resolution, sets the stage for the government workforce to shift to more value-added activities, such as case management and programme evaluation. Government CIOs should work with programme managers to develop business use cases for various smart machine technologies and then construct scenarios for achieving the desired business results.

By 2018, more than 25 per cent of government agencies will adopt 'BYO algo' policies to boost workforce-led innovation.

Gartner said that the growing availability of self-service data discovery and business intelligence/analytic tools, as well as the creation of a »consumerised« digital work environment, will drive government agencies to actively seek the talent of workers who are encouraged to bring their proprietary intellectual property to work.

Next-generation (smart) data discovery tools and capabilities make insights from advanced analytics more accessible to business users or citizen data scientists. Gartner believes the performance of government workers and organisations will be determined by the methodologies and algorithms they uniquely employ to turn data into actions that increase efficiency and effectiveness.

 

»The formulation and adoption of BYO algo policies in government will help address the competitive disadvantage that public-sector employers often face in the quest to recruit top talent,« said Mr Howard. »By doing so, agencies will fully benefit from the talent of employees whose personal success rests on using all the digital tools at their disposal.«

More detailed analysis is available to Gartner clients in the report »Predicts 2016: Government Continues to Adapt to the Digital Era.«

This research document is part of Gartner's Special Report »Predicts 2016: Algorithms Take Digital Business to the Next Level,« a compilation of 85 reports focused on the top predictions and actions that will enable organizations to shape their digital future. www.gartner.com/technology/research/predicts/ ap-verlag.de/die-sicherheit-wird-der-hauptgrund-sein-waru...

via

 

Welcome to the seventh installment in our “Collective Wisdom” series of content marketing strategy and tactics articles. Previously we’ve covered planning ahead for content marketing success, the art of crafting powerful content, and an array of strong promotion tactics. So, what’s up next? Measurement and analytics. Measuring and analyzing your content’s performance is critical so you can uncover new opportunities, make improvements, and determine whether you’re meeting your goals. Here we share some tidbits of analytics wisdom and insights from some famous figures inside and outside the digital marketing realm.

 

Having the Right Data is Crucial for Measuring Success

 

How do you gauge success in content marketing? At the most basic level, you want to learn how much online traffic is coming to see your content. But what should you count and what can be ignored? Albert Einstein offered insight that I think applies to marketing analytics, and on a greater scale to life itself. [bctt tweet="“Not everything that can be counted counts, and not everything that counts can be counted.” — Albert Einstein" username="toprank"] via GIPHY Measuring this traffic has always been rather tricky, and nearly as long as the Web has been around there have been tools dedicated to helping track and understand just how successful a piece of content is. Even as we've seen the growth of big data, extracting the right information is still a challenge, as Tamara McCleary, CEO at Thulium.co, points out. [bctt tweet="“Everyone likes to talk about Big Data. The truth is, what we really need is Smart Data.” @TamaraMcCleary " username="toprank"] Regardless of your industry, there's no sure-fire substitute for common sense, as digital transformation speaker and Forbes contributor Daniel Newman has noted. [bctt tweet="“While I do love big data, I know there is no substitute for good old-fashioned common sense. If the data really doesn’t fit, question it. Ask deeper questions.” — Daniel Newman @danielnewmanUV" username="toprank"] Besides server-based software, hundreds of companies also offer specialized Web analytics tools that operate using remote access to your content, the most popular of these being Google Analytics. Here's an image of Google Analytics from "How to Prove the Value of Content Marketing to Your CMO in 3 Easy Steps," by our own Content Strategist Anne Leuman. No matter which software, online tool, or service you use, the pursuit is by its very nature a complex one. It requires a good deal of dedication and learning to deeply understand which bits of data you really care about, so you can find the best ways to accurately gather and analyze them.

 

Choosing The Right Analytics KPIs

 

No matter which tools you choose, a primary decision you’ll have to make is what to measure to gauge success of failure, and these will be your Key Performance Indicators (KPIs) — those signals that matter the most to you and your business. KPIs vary widely, so it’s important to find the ones that will provide you with the data that’s the most relevant to your own content measurement situation. Setting S.M.A.R.T. goals — those that are Specific, Measurable, Attainable, Relevant, and Time-Based — are especially pertinent in the realm of data analytics, as Danica Benson, Global Product Marketing Manager SMB at SAP Concur and former Marketing Communications Manager at Rival IQ, has pointed out. [bctt tweet="“Digital marketing analytics software can aggregate and report on a wide array of metrics, many of which are fun to know, but without context don’t tell you much about how to move forward.” — Danica Benson" username="toprank"] The dangers of relying too heavily on statistics, however, have been espoused for over 100 years, including the famous quote popularized by Mark Twain in 1906, “There are lies, damned lies, and statistics.” Knowing how to wisely interpret statistical data — especially what information to set aside — is a bit of a combination of art and science that takes dedication and research. via GIPHY Jay Acunzo, founder, host and writer at Unthinkable Media, explores two methods of finding this data measurement wisdom in “There Are 2 Ways to Approach Data. Which Helps vs. Hurts Creativity?,” offering both an Aristotelian and a Galilean take on the art and science. [bctt tweet="“When we’re data informed, we isolate variables, test, and learn. We insert our own sense of taste and our intuition into the process.” @jayacunzo" username="toprank"] Taking the time to learn and choose the right KPIs for extracting actionable insight from your analytics data is well worth the effort, as Kyle Harper, Marketing Analyst at Harvard University points out in his recent "Comprehensive Guide to Connecting Content Marketing KPIs to Business Goals." [bctt tweet="“Well-chosen content marketing KPIs are more essential than ever. Knowing the right KPIs to track can help sort out the most important performance information from the noise.” — Kyle Harper @TheyWereFlying" username="toprank"]

 

Analytics Can't Simply Be an Afterthought

 

Deciding how to measure success is critical to any content marketing strategy, so measurement and analytics need to be included from the very beginning of your planning process. Large numbers of technical professionals worldwide make a career from trying to gauge the success of online content. And while it isn’t our intent to teach you the detailed and ever-changing intricacies of analytics, we would like to share some fundamental truths with you. Longtime technology consultant Joel Snyder, Ph.D. points out in a recent article that analytics is far from new, and that even the smallest firms now gather heaps of statistical data. [bctt tweet="“Data analytics isn’t some new magic bullet. It’s a way of leveraging the data that most every business has been quietly accumulating for years to deliver insights that lead to better decisions.” — Joel Snyder, Ph.D. @joelsnyder" username="toprank"] In some ways, some aspects of analytics have gotten easier. With the massive growth of the internet at-large, social media, and other platforms, methods for tracking that have become nearly universal—such as the ubiquitous Facebook "like" or Twitter "heart." via GIPHY Whether you’re just starting out or a seasoned pro, a considerable challenge is wading through the vast number of analytics tools and finding the ones that mesh well with your needs, including how you prefer to visually see your analytics data. Some tools offer only simple text-based lists, while most make a point to present analytics information in ways that are visually easier to understand. Using just one analytics utility was commonplace in the Web’s early year. But today, it’s not unusual for savvy digital marketers to use five, 10, or even more tools, all from different firms — some free, some commercial, and others custom-made. Accurate and relevant measurement can also help with influencer marketing campaigns, as our CEO Lee Odden looks at in “B2B Marketers: Is Your Influencer Marketing Mechanical or Meaningful?” [bctt tweet="“Platforms like Traackr, Onalytica, GroupHigh and BuzzSumo (to name a few) can be instrumental for the most effective (vs. subjective) influencer identification, engagement, measurement and program management.” @LeeOdden" username="toprank"]

 

Analytics Tools Can Be Your Best Friend

 

The scope and complexity of analytics tools varies greatly, but where can you start when looking to begin a new campaign, or when you just want to keep up on the new players that are entering the market in greater numbers than ever? To help you learn more about some of the analytics tools available, we've put together a list of 11 helpful resources exploring several of the more popular analytics tools and services. Four Takes On Google Analytics

 

In “6 Ways Content Marketers Can Get More Value From Google Analytics,” Jessica Greene, a writer at JeffBullas.com, takes a look at how to turn on a number of helpful Google Analytics features that are off by default, with plenty of screen shots and tips.

 

Andy Crestodina, Co-Founder of Orbit Media, has put together a helpful guide to setting up Google Analytics in his recently-released “How to Set Up Google Analytics: The Complete Guide (with video).”

 

With his recent “How to Track Awareness, Completion, and Engagement Goals With Google Analytics,” marketer Chris Mercer examines the process of defining relevant engagement goals using Google’s tools.

 

In “Ways to Use Google Analytics for Content Ideation [Infographic],” Jomer Gregorio, CEO at Digital Marketing Philippines, shows some of the ways that Google Analytics can also be used in the creative process.

 

SEMrush

 

SEMrush is a popular research and analytics service, and its “Practical Guide to Data-Driven Content Marketing,” is a good introduction to many of the tools the company offers, including the Content Toolkit.

 

Trust Insights

 

Trust Insights has provided fascinating and useful influencer graphs at several of the events TopRank Marketing has spoken at in 2018. In his recent "50 B2B Marketing Influencers and Experts to Follow Into 2019," Christopher Penn, co-founder of Trust Insights, shares his 2019 trends video post on LinkedIn.

 

Ahrefs

 

Sometimes the amount of information available from an analytics tool can be overwhelming. However, for those using the popular Ahrefs service, company Chief Marketing Officer Tim Soulo looks at many of the helpful pieces of data at hand in “Ahrefs’ SEO Metrics: What They Mean and How to Use Them.”

 

Quintly

 

Quintly, which began in 2010, has increased the number of tools it offers over the years, and in “(This is) Why you need professional social media analytics for your business!,” industry speaker Lilach Bullock takes a look at some of the unique features the service provides.

 

Twitter

 

Twitter’s own metrics can provide helpful insight, and in “6 Twitter Metrics to Follow to Boost Your Online Presence,” Brand24 — maker of its own social media monitoring tools — takes a look.

 

Facebook

 

Facebook offers a huge array or analytics features, and in “How to Use Event Tracking in Facebook Analytics: Event Source Groups,” Amy Hayward of Social Media Examiner gives a helpful rundown of some of the latest Facebook tools.

 

BuzzSumo

 

BuzzSumo has grown to become a go-to analytics tool for many digital marketers, and in “How To Find The Best B2B Content With BuzzSumo’s Business Filter,” Steve Rayson, former Director at BuzzSumo, takes a look.

 

There are hundreds of other excellent data analytics tools and services available, including those from Sprout Social, RivalIQ, Traackr. Internet Marketing Ninjas, Screaming Frog, SpyFu, Moz, and so many more.

 

Additional Resources to Put You on the Path to Informed Measurement

 

As a final parting bonus list, here’s a collection of recent helpful additional resources to boost your analytics knowledge.

 

7 Recent Data Analytics Trends

 

What happens when trust in platform metrics is eroded? “Facebook missteps highlight what happens when you can’t trust platform metrics,” written by Amy Gesenhues of Marketing Land, digs in and explores the challenges.

 

Our own Alexis Hall, Vice President of Client Accounts, shines light on “5 Common Digital Marketing Data & Analytics Challenges and How to Start Solving Them.”

 

[bctt tweet="“Only 30% of B2B marketers use data to inform decision-making. That’s because harnessing data is hard. Over 2.5 quintillion bytes of data are generated every day.” — Alexis Hall @Alexis5484" username="toprank"]

 

“Why Your Business Needs to Pay Attention to Its Social Media Analytics, from Day One,” by Paul Herrera of MarTechSeries, offers another take on the increasing importance of social media data.

 

Christoph Trappe, Chief Content Engagement Director at Stamats Communications, takes a look at whether you can have too many analytics tools in your strategy, with “[MEASURING RESULTS] How many web analytics services should I use on my website?”

 

10 Tools to Monitor Brand Mentions [Social Media Monitoring Tools] by Influencer Marketing Hub looks at some of the tools we’ve mentioned, along with several others worth checking out.

 

Visualizing the data you’ve carefully extracted in a way that can be easily understood and put in perspective is an important part of analytics. Maria Popova of Brain Pickings has several fine examples of data visualization in her recent “The Original Manifesto for Information Visualization and Pictorial Statistics: ISOTYPE Creator Otto Neurath’s Pioneering 1930 Visual Language.”

 

Concluding our list is “What Great Data Analysts Do — and Why Every Organization Needs Them,” by Google data scientist Cassie Kozyrkov for the Harvard Business Review, who offers a fascinating in-depth look at how top data analysts achieve success.

 

Next Up: More Measurement Tactics For Your Campaigns

 

By learning the fundamentals of data analytics, choosing the tools that best fit your own particular needs, and keeping up on the latest industry news, your content marketing will be set to have measurable advantages over those who skip or only pay lip service to the art of metrics. Next up in our “Collective Wisdom” series we’ll take a look at additional measurement and analytics tools and how to use the data you gather. If you haven’t yet caught our previous episodes in this series, hop back and study up:

 

“How to Boost Your Content Marketing Efforts By Planning Ahead”

 

“The Art Of Crafting More Powerful Content: 5 Top Tactics from the Experts”

 

“5 Powerful Messaging Tactics For 2019 And Beyond From Marketing Experts”

 

“Don’t Blink: 3 Often-Overlooked Practices for Highly-Effective Content Creation”

 

“Step Right Up! 8 Content Promotion Showstoppers For 2019“

 

“Spicy Twists and Tactics For Unique Content Promotion”

 

The post Measuring Content Marketing Success: Analytics Advice & Insight from the Experts appeared first on Online Marketing Blog - TopRank®.

 

feedproxy.google.com/~r/OnlineMarketingSEOBlog/~3/iIGVtX9...

Leading Big Data Analytics event held in Dubai, UAE.

Leading Big Data Analytics event held in Dubai, UAE.

365datascience.com/51-data-science-blogs/ - Blogs, they’re everywhere. Blogs about travel, blogs about pets, blogs about blogs. And data science is no exception. Data science blogs are a dime a dozen and with so many, where do you start when you need to find the most valuable information for your needs?

That’s what we’re here to help with.

Data science is a rapidly growing field and it should come as no surprise that many people have something to say on the subject. So, this article is going to briefly review 51 data science blogs that we thought were pretty awesome and give you a snippet of what they are all about.

Note: There is no ranking order for these, it is less about ‘Which is the best blog?’ and more about ‘All of these blogs are awesome but which one offers what I need?’.

We will give:

 

A brief description of each blog (from my perspective).

Their Alexa rank (which uses stats on visitors and page views over the last three months to give a global traffic ranking; this is updated daily so be aware that this can change from the time of writing).

The frequency with which the blog is updated.

An interesting article from the site being reviewed.

 

Hope this helps!

Blog name: DataKind

Description: Using data to save the world. That’s what DataKind is all about. Using the same algorithms and techniques which companies use to make a profit and using them to create a sustainable world where all human needs are met – That’s founder Jake Porway’s vision and it seems they are doing a great job. Check out their blog to see what they get up to and how they help everything from Foster Care to Disaster prevention. A wonderful and ethical company and blog

Alexa Rank: 638,290

Post frequency: 1-2 per week

Article to check out: Follow the amazing efforts to protect the endangered banded leaf monkey from extinction. Have a read of this article to see how the RBLWG are using machine vision to compare photos of the monkeys so they can more accurately judge population numbers and geolocation to assess habitat.

Protecting Singapore’s Endangered Banded Leaf Monkey

Blog name: Probably Overthinking It

Description: Allen Downey is an author and professor at Olin College. He writes generally about data science and Bayesian statistics. He has built a nice clear blog (although this is his new blog, he links to his old one which has a large archive). Allen is active on twitter and often goes through problems with his followers. If you fancy trying to solve some problems or are just looking for some general data science and statistics reading, this is a good place to go.

Alexa Rank: 1,005,753

Post frequency: 2-4 per month

Article to check out: If you like dungeons and dragons (the game, obviously) and/or Bayesian statistics problems, then have a look at this problem. The solution is posted below in Jupyter so you can compare.

The Dungeons and Dragons Problem

Blog name: Springboard

Description: Springboard covers a few topics but it doesn’t detract from its data science articles. Some really nice posts here with an attractive presentation. It contains career tips, lists and data science as a general topic. It is an inviting blog for almost anybody, whether you’re just getting into AI or are already a deep learning veteran.

Alexa Rank: 43,323

Post frequency: Daily

Article to check out: Everybody enjoys a good TED talk and if you’re reading this then you also enjoy data science. Sometimes those things combine and sometimes someone is kind enough to compile the 11 best data science TED talk out there. How nice of T.J DeGroat to do that – he even gives a brief synopsis of each one. Plenty to keep you engaged.

11 Must-Watch TED Talks on Data Science

Blog name: BAIR

Description: Berkeley Artificial Intelligence Research (BAIR)’s blog is for their researchers to communicate research findings and perspectives on the AI field. Written by students and faculty, this blog aims to reach both expert and general audiences and they achieve this aim with an abundance of articles by some of the greatest minds in AI research. Something for everyone interested in AI.

Alexa Rank: 1298

Post frequency: 1-2 per week

Article to check out: Imitation is a key part of human intelligence. This article shows how researchers have developed AI to imitate actions in a variety of ways. Absolutely fascinating and it raises many questions about the future of AI and the amazing work done here. A must read.

One-Shot Imitation from Watching Videos

Blog name: KDnuggets

Description: On the off chance you haven’t heard of KDnuggets. It’s one of the best blogs out there. They feature plenty of quality guest posts (including some from us) and although it can look a bit overwhelming, you are sure to find something good to read. Go check it out.

Alexa Rank: 20,825

Post frequency: Daily

Article to check out: Well this article by us is the obvious choice really. KDnuggets awarded us the Platinum badge for it, which was a great honour.

Data Science vs Machine Learning vs Data Analytics vs Business Analytics

Blog name: O’Reilly

Description: A professional and in-depth look into data and data science that is in no way intimidating. The contributors here clearly know what they are doing. Posts include videos, podcasts, and superbly written articles. Very easy to binge read on this site.

Alexa Rank: 10,527

Post frequency: Daily

Article to check out: With data growing faster than we can comprehend, no-one can be totally sure of what’s to come. This article gives a fresh take on this idea.

Data’s day of reckoning

Blog name: Adit Deshpande

Description: This blog has been quiet for a few months and it is a little light in terms of the number of posts, but oh boy it is quite the opposite when it comes to the posts themselves. Adit Deshpande has really put in the effort and it shows by the number of comments saying how much he has helped the comment author. Head there now to get some fantastic machine and deep learning tutorials.

Alexa Rank: 150,484 (Github’s Alexa rank)

Post frequency: It varies

Article to check out: Adit wrote a very entertaining post about using deep learning to train a chatbot to talk like you. A lot of fun and you can try it for yourself.

How I Used Deep Learning To Train A Chatbot To Talk Like Me (Sorta)

Blog name: Andrew Gelman

Description: Eleven authors on this blog mean it is packed full of statistical content. Each contributor adds a personal touch to their writing with some genuinely funny posts (and comments). You’ll find general opinions, scientific reviews, tutorials and a healthy amount of sarcasm. Also, they have a ‘zombies’ category… braiiins!

Alexa Rank: 149,833

Post frequency: Daily

Article to check out: If you’ve ever read or written a scientific paper then you will relate to this post.

Revisiting “Is the scientific paper a fraud?”

Blog name: Hyndsight

Description: ‘Forecasting’ is Rob Hyndman’s most used tag. So, if that interests you then you’re in luck. He also covers statistics, computing, conferences and more. The blog is aimed at his research team but hopes researchers in other statistical mathematical science fields will find some use in it. If this is you, then go take a look – Rob’s door is wide open.

Alexa Rank: 207,870

Post frequency: 2-3 per month

Article to check out: Forecasting is the main thing here, so one of the latest posts on it will give you an idea of Rob’s style.

A forecast ensemble benchmark

Blog name: Oracle and Data Science

Description: Recently bought by Oracle this is perhaps one of the top data science blogs. Stylish, quick and easy to use; This a hub of data science information a must for anyone interested in the world of data.

Alexa Rank: 71,618

Post frequency: 2-3 per week

Article to check out: Some great reasons for using search engine tools for data analysis. Nicely written and genuinely useful for anyone who wants to analyse data.

7 Benefits of Using Search Engine Tools for Data Analysis

Blog name: Revolutions

Description: Revolutions is a blog dedicated to delivering news and valuable information to members of the R community. If you like to keep up to date with the latest R goings-on then this blog is worth keeping in your bookmarks

Alexa Rank: 128,146

Post frequency: Every working day

Article to check out: More of a video than an article. Take a look at Microsoft Azure in this informative and entertaining video on machine learning.

Video: Azure Machine Learning in plain English

Blog name: Airbnb Data blog

Description: Airbnb’s Data blog is the place where their data scientists go to write about how the company uses data to provide their service. It’s an open look into one of the most successful businesses in recent history. It has great insights, not only if you use the service, but for anyone interested in real-world uses of data. With many contributors, you’re sure to find an interesting post.

Alexa Rank: 260 (this is Medium’s Alexa rank)

Post frequency: Bi-monthly

Article to check out: Although one of the older articles, it gives a great overview of how Airbnb does things.

How Airbnb uses Machine Learning to Detect Host Preferences

Blog name: The Data Incubator

Description: The Data Incubator takes PhD graduates from academia and trains them to be work ready. This is an invaluable service to the data science world and, as it happens, so is their blog. With interviews from some amazing minds and articles on data science as a whole alongside more specifically written tutorials and comparisons to help anyone with an interest or passion for data – especially if you’re a recent graduate, this place could be just what you need.

Alexa Rank: 163,747

Post frequency: 1-2 per week

Article to check out: Want to gain more data science skills – this article is a great place to start. It gives you a rundown of the benefits of active learning for data science skills. Data incubator use the technique themselves, so they know what they’re talking about.

The Benefits of Active Learning for Data Science Skills

Blog name: Jeff Knupp

Description: Jeff Knupp is a Python programmer and that’s just what his blog focuses on. He has a nice, personal writing style and discusses a wide range of python functions on which he goes into more detail in his book. I would recommend if you are looking to pick up some useful python tips that you can try out.

Alexa Rank: 146,974

Post frequency: 1-2 per 3 months

Article to check out: This post on using python to count cards is a good example of Jeff’s engaging writing style. Take a look to see an interesting (and perhaps profitable) use of the programming language.

Counting Cards With Python

Blog name: The Clever Machine

Description: As Dustin Stansbury, the creator of this technical blog, puts it “the blog will be posts about analysis techniques, algorithms, theory, or things I think are cool, exciting, or helpful.” And it does exactly what it says on the tin. This blog delves deep into long complex articles. If you’re looking for a light read, this is not the place, if you’re looking for in-depth tutorials, then you’ve found what you are looking for.

Alexa Rank: 555,599

Post frequency: 2 per Month

Article to check out: This article is called “A Gentle Introduction to Artificial Neural Networks” – so it will give you a base idea of what Dustin considers ‘gentle’ and if you too consider it ‘gentle’ then don’t worry because he even links to what I can only refer to as ‘The mind-blowing’.

A Gentle Introduction to Artificial Neural Networks

Blog name: Dataiku

Description: Dataiku is a central hub for analytics and machine learning and their blog shows this with regular updates on the world of analytics. News, webinars and loads of blog posts – This is a good place for anyone interested in analytics

Alexa Rank: 172,517

Post frequency: 1-3 per week

Article to check out: Deep learning is everywhere these days, and this post takes you through exactly what it is while avoiding the jargon. A great guide

A Deep (But Jargon and Math Free) Dive Into Deep Learning

Blog name: Cloudera

Description: Cloudera has a couple of blogs. The first is an engineering blog which covers best practices, how-tos, use cases, and internals from Cloudera Engineering and its community. The second, a VISION blog, is a wider picture on a range of topics but at the heart is what Cloudera stands for – Security. A company comprised of some big names from Google, Facebook, Hadoop, Yahoo! and Oracle their blog has a lot to offer especially if you have an interest in the company.

Alexa Rank: 17,604

Post frequency: Daily

Article to check out: This article goes in-depth into how Cloudera and Accenture joined forces to fight against insider threats. Illegal insider-actions can cost companies millions, so it’s a problem that is worth knowing something about, especially if you’ve got a business with some shifty employees.

Taking out the threat from the inside

Blog name: Aylien

Description: There is something here for everyone and anyone interested in Text Analysis, NLP and Deep Learning. Organized in a real user-friendly way, it’s clear this blog is made with the reader in mind. Articles are written with quite specific topics, but they are written well and if you’re looking for something, in particular, it’ll be easy to find it. If not, then you’re sure to find something worth reading.

Alexa Rank: 178,014

Post frequency: 1-2 per week

Article to check out: Chatbots are a fascinating part of AI and this article takes a look at the history of them. A genuinely great read for anyone interested in chatbots and their evolution.

An Interactive History of Chatbots

Blog name: Subconscious musings

Description: Radhika Kulkarni and her team at SAS (one of the bigger players in analytics, they are worth knowing about) set out to discuss all things related to advanced analytics that solve many of the challenges that face businesses and organizations. Plenty of interesting topics on this blog, many based on SAS, others that just discuss analytics in general but all are relevant and well written. Great blog if analytics, AI and deep learning are important to you.

Alexa Rank: 6040

Post frequency: 1-3 per month

Article to check out: Machine learning is great! We know that, but it’s how it applies to real-world problems that really makes it special. This short but sweet article on just that takes you through 4 strategies in an easy-to-digest way.

Four machine learning strategies for solving real-world problems

Blog name: Data Meets Media

Description: Data Meets Media is a blog by Pio Calderon, who takes his two main interests and combines them in interesting ways, using data to analyse anything from the lyrics of ‘The Killers’ discography to plot summaries of Oscar-winning films. He also provides posts on the topics separately where you can find pieces on cryptocurrencies, AI, data science, movie reviews and more. The blog is just over a year old and already has plenty to interest most people.

Alexa Rank: 1,297,224

Post frequency: 4-5 per month

Article to check out: Have you ever wondered about the colour dynamics of the Oscar-winning film La La Land? No, me neither. However, Pio here has put together a post on that very topic, one of many things that you didn’t know you’d be interested in.

The Color Dynamics of La La Land

Blog name: Data Aspirant

Description: Data Aspirant is run by Saimadhu Polamuri who is a self-taught data scientist and educator. Data Aspirant is a portal for data science beginners, so here is where you will find tutorials on all areas of data science. A great place to get started or brush up on your skills.

Alexa Rank: 160,140

Post frequency: 1-2 per month

Article to check out: A long in-depth list of R tips. If you want to improve your R skills it’s worth a read. Well written and easy to follow, a good taster for what else is on the blog.

10 SMART R PROGRAMMING TIPS TO BECOME BETTER R PROGRAMMER

Blog name: Facebook Research

Description: Facebook is making leaps and bounds in the AI, machine learning and data science fields. This blog keeps you up to date with everything the Facebook research team are doing. Plus plenty of insights into economics, natural language processing, connectivity, security and plenty more.

Alexa Rank: 8912

Post frequency: 1-2 per week

Article to check out: Facebook researchers use AI to turn whistles into orchestral music, and power other musical “translations” – Another article you wouldn’t expect to be written, but that’s the world we live in. Read this to see what steps researchers are taking with AI technology that could transform the music industry.

Facebook researchers use AI to turn whistles into orchestral music, and power other musical “translations”

Blog name: R-bloggers

Description: 750 contributors writing about, if you hadn’t guessed it, R. R-Bloggers is about encouraging bloggers to empower R users. There is a strong community here and if you want to get involved in R or you already ‘R’ then there will be something for you here.

Alexa Rank: 14,541

Post frequency: Daily

Article to check out: A nice easy-to-digest tutorial for anyone looking to write loops. There are more advanced topics available but this is a good article to get a feel for the site.

How to write the first for loop in R

Blog name: Edwin Chen

Description: Edwin Chen takes his own experience in AI and data and writes some really interesting articles with wonderful insights. From Twitter to Amazon, Edwin has fascinating things to say on a multitude of topics, complete with easy to follow pictures and a very readable writing style.

Alexa Rank: 353,089

Post frequency: n/a

Article to check out: A scientific look at recommendation algorithms of popular online bookstores. Should these sites incorporate human evaluation? Read to find out.

Moving Beyond CTR: Better Recommendations Through Human Evaluation

Blog name: Timo Grossenbacher

Description: Timo combines Geographic information, science and data journalism to create awesome visualisations. He’s even written a book with over 80 maps called “Grüezi, Moin, Servus!”. It’s in German but luckily he shows you how he performed his studies on his blog. He prefers R, so if you lean toward that language and have a thing for geographics then check Timo’s blog out.

Alexa Rank: 2,545,850

Post frequency: 1-2 per month

Article to check out: Timo’s latest post on spatial interpolation is a great tutorial. And his studies involve dialects around Germany, so if you’re into linguistics you’ll get some extra enjoyment out of this.

Categorical spatial interpolation with R

Blog name: Simo Ahava

Description: Analytics is the name of the game here. Simo Ahava has been a development expert for Google analytics and is willing to help anyone who has questions about analytics or Google Tag Manager. He also dabbles in digital marketing and his blog is welcoming and well maintained. He does his best to simplify complex topics while writing thorough tutorials.

Alexa Rank: 120,426

Post frequency: 4-5 per month

Article to check out: This in-depth tutorial on how to track browsing behaviour was inspired by a question from one of Simo’s followers on twitter. This goes to show the sense of community on the blog. Written in collaboration with Jethro Nederhof, this is a must read for any google analytics enthusiast.

Track Browsing Behavior In Google Analytics

Blog name: DataGenetics

Description: Nick Berry works at Facebook as a data scientist and is passionate about data privacy. His blog covers a range of topics within data and statistics. It is easy to read and you are more than likely to learn something new. If you want to know your chances of winning a tennis match or how to turn water into wine, then you had better check this out.

Alexa Rank: 224,998

Post frequency: 1-6 per month

Article to check out: A Statistical look at the probability of winning a tennis match. An interesting look at the game that goes into great detail.

Probability and Tennis

Blog name: Algobeans | Data Analytics Tutorials & Experiments for the Layman

Description: As the name suggests, the focus of this blog is to give simplified data science tutorials for the newbie. Not for data science pros but if you’re still trying to get to grips on some concepts of data science and statistics then this is for you. Well explained and presented rather nicely.

Alexa Rank: 823,831

Post frequency: 1-3 per 6 months

Article to check out: A/B testing is useful in many situations. And these guys explain the concept very well.

LAYMAN’S GUIDE TO A/B TESTING

Blog name: DataQuest

Description: Dataquest has a lovely, clean looking blog with plenty of interesting blog articles. They are mostly geared toward aspiring data scientists as that is their demographic. Their goal is to train people to become data scientists so you’ll find plenty of tutorials and job hunting advice – practical stuff you can put to good use. They have plenty of guest writers but not just anyone it seems as all the blogs are well written and engaging. A great blog for anyone just getting into data science or looking to brush up their skills.

Alexa Rank: 24,864

Post frequency: 2-3 per week

Article to check out: Python Vs R – of course, everyone has their opinion on which is better but who is right? Well, the best way to find out is to tackle the question like a data scientist – study the data. This is what this article does, it takes an unbiased look at a selection of functions and draws insightful conclusions that are sure to help anyone decide which program they would like use. A well-written and useful piece.

Python vs R: Head to Head Data Analysis

Blog name: Julia Evans

Description: Julia Evans is a programmer from Montreal. This blog is where she shares what she’s learned recently. She has a huge collection of interesting posts that really show her passion for programming. Her writing is humble and invites a sense of discovering things together. She has open communication with her readers, which is great, and has also published paid and free informative programming zines which are very well made. A great blog for beginners and anyone who has an interest in programming.

Alexa Rank: 107,742

Post frequency: 3-4 per month

Article to check out: While her topics are wide-ranging it’s her tutorials that show off her skills. This one on the basics of Envoy show how she puts her personality into her writing, in a way that invites you to continue reading and I am sure will entice you to read more of her blog and follow her journey.

Some Envoy basics

Blog name: A Blog From a Human-engineer-being

Description: Although it won’t win any awards for presentation, it certainly is a great place for anyone looking to expand their machine and deep learning knowledge. It is a little hard to find things but when you do, they’re well-written guides on a plethora of topics. If you have a solid grasp of machine learning I think you can expand on that here.

Alexa Rank: 609,158

Post frequency: 1- per 3 months

Article to check out: This history of machine learning is clearly the cornerstone post. It’s a well written interesting piece that sets the stage for the rest of the blog.

Brief History of Machine Learning

Blog name: Ahmed BESBES

Description: Ahmed is an up-and-coming data scientist. And I bet he’ll be very successful. There are perhaps ten posts on his site that are based around what he has been learning. There is a KDnuggets silver award on there which is always a good sign of a quality post. A modest blog that is worth following.

Alexa Rank: 861,886

Post frequency: 1-2 per 6 months

Article to check out: A wonderful article that shows a real sense of community. Ahmed reached the top 4% in the Kaggle Titanic Challenge and rather than posting a simple bragging article, he explains to his readers how he did it so they can succeed too. Good Show Ahmed!

How to score 0.8134 in Titanic Kaggle Challenge

Blog name: Machine Learning Mastery

Description: Jason Brownlee has a fascination with machine learning, and he wants to share his love for it with others. He has a very fleshed out blog with tons of tutorials for the machine learning enthusiast. His explanations are clear and extensive. Not for beginners but there are so many tutorials most will find something of value. Plus, he tells you right from the beginning what you will know after reading the tutorial – which is handy. Check this out if you want to learn something new.

Alexa Rank: 12,523

Post frequency: 1-2 per week

Article to check out: His tutorials mostly follow the same style, so after checking this out you’ll know what to expect with his others. This is about how to code the student’s t-test. Considering how widely used it is in statistics it’s a good place to start and see if you like Jason’s style.

How to Code the Student’s t-Test from Scratch in Python

Blog name: MAPR

Description: MAPR has an extensive blog, covering loads of topics – cloud computing, open source software, and apache spark to name but a few. They have a ton of expert contributors and their posts are very inviting. As MAPR say, they are proud to enable Big Data experts to share their industry knowledge. Come learn from the best, and share the knowledge. And that’s exactly what they do.

Alexa Rank: 70,269

Post frequency: 2-3 per week

Article to check out: The posts on this blog assume varying levels of experience. This one on AI and ML is a more introductory article which shows off this pleasant blog and is a great place to get started.

Artificial Intelligence and Machine Learning: What Are They and Why Are They Important?

Blog name: PYImageSearch

Description: Adrian Rosebrock specializes in image search engines and covers a bunch of skills – object tracking, face recognition, motion detection etc. His tutorials are informative, clear and offer a nice personal touch. An especially nice blog if images are your interest.

Alexa Rank: 20,005

Post frequency: 1-2 per week

Article to check out: In this tutorial, Adrian teaches you how to create animated GIFs with OpenCV. It’s an entertaining and educational article. And if you don’t like GIFs…Deal with it! (You’ll get that joke if you read the post)

Creating GIFs with OpenCV

Blog name: Smart Data Collective

Description: A well-designed blog with plenty of contributors covering a range of topics. AI, analytics, blockchain, big data and more. Articles for the experienced enthusiast as well as the casual beginner. There is something here for everyone.

Alexa Rank: 307,887

Post frequency: Daily

Article to check out: The brighter side of AI. A light read on how AI is making positive changes for humanity.

How AI Is Helping Children And The Elderly

Blog name: Amazon AWS AI Blog

Description: The link here takes you to Amazon’s AI blog, but there are over 25 more categories to choose from (although not all data science related). You will no doubt find something of interest. Most posts revolve around some Amazon project but with a plethora of expert guest bloggers, you are going to learn something for sure.

Alexa Rank: 10 (this is Amazon’s Alexa ranking)

Post frequency: Daily

Article to check out: This tutorial on how to make a QnA bot using Alexa looks like a lot of fun.

Create a Question and Answer Bot with Amazon Lex and Amazon Alexa

Blog name: Clustify

Description: Clustify shares tips and insights about e-discovery, document clustering, predictive coding, information retrieval, computers, and software development. They keep up to date with conferences and retreats surrounding these areas. So if that is of interest to you then these articles will be right up your street.

Alexa Rank: 4,841,767

Post frequency: It varies

Article to check out: A post about a keyword search challenge during the NorCal eDiscovery & IG Retreat. An interesting experiment that sounds like it would have been great fun to participate in.

TAR vs. Keyword Search Challenge

Blog name: KritiKal Solutions Blog

Description: KritiKal Solutions is a technology design house specializing in Product Development, R&D and Innovation. Their blog is heavy on machine learning and AI as well as their implications in the modern world. Written in a comprehensible manner and a well-presented design this is good for some casual reading.

Alexa Rank: 886,859

Post frequency: 1-2 per month

Article to check out: A few examples of where AI is being used in the real world. A nice reminder that whether we like it or not AI is already playing a huge part in our lives.

Top 5 Real-World Artificial Intelligence Examples

Blog name: Freakonometrics

Description: An academic blog by Professor Arthur Charpentier is an economist and mathematician. A huge back-catalogue of posts for just one person with some fascinating mathematical takes on a range of topics from the average lifespan to the number of friends you have. He also covers the lectures he gives and attends. Also, if you’re a French speaker there are a few posts in French you can have a look at.

Alexa Rank: 28,764

Post frequency: 3-4 per week

Article to check out: The post on why on average people have fewer friends than their friends. Proved with maths.

GAME OF FRIENDSHIP PARADOX

Blog name: DBMS2

Description: A general analytics and database management blog with a huge number of categories. Easy to navigate for what you want to find and some well-written articles. Some more casual than others. You’ll find a number of articles focused on politics if that is of interest to you. There are even a few research blogs thrown in for good measure.

Alexa Rank: 2,480,873

Post frequency: 1-2 per month

Article to check out: One of the politically oriented posts will give you a sense of the writing style. Interesting read.

Technology implications of political trends

Blog name: Datafloq

Description: Blockchain, VR, AI, IoT, Big data plus more covered here in some interesting and insightful articles. Opinion pieces on current trends seem to be the main bulk of articles here so if that’s your thing, go right ahead.

Alexa Rank: 149,666

Post frequency: Daily

Article to check out: Blockchain is no doubt growing exponentially and it’s affecting all walks of life. This article looks at the potential impact it could have on the film industry.

Will Blockchain become a game-changer for the film industry?

Blog name: Cortana Intelligence and Machine Learning Blog

Description: A machine learning blog by the developers of Cortana must hold some great information right? Well, it does, some great in-depth articles on machine and deep learning. And if you’re a fan of Microsoft you’ll definitely find some useful posts here.

Alexa Rank: 42 (Microsoft’s Alexa rank)

Post frequency: 1-2 per week

Article to check out: Using machine learning to match a persons clothing with shop images holds a lot of potential for advertising in the fashion industry. This article shows how it can be done.

Using Siamese Networks and Pre-Trained Convolutional Neural Networks (CNNs) for Fashion Similarity Matching

Blog name: Data Double Confirm

Description: A personal blog detailing the learning process of Hui Xiang Chua. With a B.Sc.(Hons) in statistics, an M.Sc in Business Analytics and a career as a research analyst, Hui works with a multitude of tools, such as R, Python, Tableau, SAS and SPSS. This means that if you are interested in developing your skills in any of these areas then following her blog is a good idea.

Alexa Rank: 507 (Wix’s Alexa rank)

Post frequency: 4-5 per month

Article to check out: Everybody loves a good pie, but perhaps don’t have the same love for pie charts. In this article, Hui opens up the discussion on pie charts and leads on to some more detailed articles on the topic if you’re interested.

Pie Chart or Not

Blog name: Alex Perrier

Description: Alex Perrier is a data science consultant and writes some nice articles on Gsutil and Amazon’s machine learning. Definitely something to be learned here and you get a sense of his personality. Seems like a nice guy.

Alexa Rank: 4,935,199

Post frequency: 1-2 per 3 months

Article to check out: A departure from data science but a fun blog on phone addiction that gives you a nice idea of Alex’s writing.

iPhone addiction? Get a grip!

Blog name: Data Blogger

Description: Data Blogger has some great DIY articles which set this blog apart. Of course, there are articles on other topics too, mathematics, data science and software science to name a few. But if you want to pick up some skills, in python especially, then this is the place to go.

Alexa Rank: 824,153

Post frequency: 1-2 per month

Article to check out: Learn Python in one day, who could say no to that? In this ‘how to’ Kevin Jacob takes you through Python basics to get you started (of course it then links to further tutorials).

Python Tutorial: Learn Python in one Day

Blog name: INSIGHT

Description: Insight is a blog where loads of contributors write to give you, you guessed it, insights on all things data science. The company’s goal is to help others progress in their data science careers, so expect plenty of helpful things in the blog for that purpose.

Alexa Rank: 184,919

Post frequency: 1-3 per week

Article to check out: Is there a formula for love? Issac Perron and the company worked with ‘Happy Couple’ and tried to predict relationship health from over 8,000 participants. Check out this article to see how that went.

Data science for couples: Relationship health predicted by how well you know each other, not how alike you are

Blog name: Simply Stats

Description: Simply Stats is a blog from three enthusiastic biostatistics professors who post about ideas they find interesting. They are pumped about the recent abundance of data and how statisticians are now scientists. If stats is your thing and you want to read 3 people write about there passion while sharing some fresh ideas surrounding statistics then this is the place.

Alexa Rank: 270,251

Post frequency: 3-2 per month

Article to check out: The role of academia in data science is a hot topic right now. This article is Rafael’s take on how the two are connecting right now. A good read for anyone interested, Rafael opens up the conversation so feel free to leave a comment for some respectful debate.

The role of academia in data science education

Blog name: Data Camp

Description: Another heavy hitter in the data science world, DataCamp has plenty of articles on everything analytical as well as updates on the company themselves. If you’re looking to keep your skills up to date this is a great place to do that. It also includes interviews with players on the data science field and current events. A nice all-around blog that doesn’t get too heavy (unless you want it too).

Alexa Rank: 4163

Post frequency: 1-2 per week

Article to check out: Andrew Gelman is the author of a blog we’ve featured on this list. Why not get to know him a little better with an entertainingly constructed interview by Hugo Bowne-Anderson. Statistics, data science, polling, and election forecasting are the topics up for discussion. Great stuff.

Andrew Gelman discusses election forecasting and polling. (Transcript)

Blog name: Dimensionless

Description: Dimentionless was born out of the fact that educational institutions are lagging behind when it comes to data science. They aim to be the solution to that and their blog is part of that vision. With many useful articles on making it in the data science field, it’s one of the best places an aspiring data scientist should go.

Alexa Rank: 784,263

Post frequency: 1-2 per week

Article to check out: Who wouldn’t love some data science hacks, especially written by someone dedicated to helping students find their way through data science. Awesome stuff.

Top Data Science Hacks

Blog name: 365 Data Science

Description: If you’re going to check out one blog today, it really should be this one. Covering complex tutorials, career advice, interviews and general data science articles this blog has something for everyone. We know because we wrote it. Shameless plug I know, but I promised you a list of 51 of the top blogs and I really think ours deserves to be in it.

Alexa Rank:283,726

Post frequency: 1-2 per week

Article to check out: One of our most popular articles. We researched dozens of books, hundreds of articles, and thousands of report pages on careers in data to give you the most comprehensive data science career guide out there. Check it out to see the result, I think you’ll be surprised by the insights we got in it. Especially useful if you want to know if you could become a data scientist.

Starting a Career in Data Science: The Ultimate Guide

So, there’s our list. 51 of our favourite data science blogs. As you can see they come in all shapes and sizes but we believe each of these has something to offer. We very much enjoyed looking through these projects of love from various professionals and enthusiasts in the data science field and we hope you have too.

 

 

#Ai, #DataScience, #Lists

#365datascience #DataScience #data #science #365datascience #BigData #tutorial #infographic #career #salary #education #howto #scientist #engineer #course #engineer #MachineLearning #machine #learning #certificate #udemy

Kyle Rozman, ORISE student.NETL.1450 Queen Ave, SE.Albany, Oregon 97321 and POC Richard Golden.Smart Data Solutions

MIPIM 2017 - CONFERENCES - HOW TO SHIFT FROM BIG DATA TO SMART DATA ?

Internet-Verband: CIO muss »Cloud Conductor« werden.

Die IT-Verantwortlichen in den Unternehmen müssen sich künftig vor allem um eines kümmern: die Koordination der Cloudservices, die ihre Firmen in Anspruch nehmen. Diese Aussage kommt von eco – Verband der Internetwirtschaft e. V. Die Berufsbezeichnung »Cloud Conductor« (Cloud-Dirigent) sei daher passender als der herkömmliche »Chief Information Officer« (CIO).

 

Cloudservices statt Firmen-IT

 

»Die Ära der klassischen Firmen-IT, bei der die Server und Applikationen im eigenen Unternehmen stehen, betrieben und entwickelt werden, nähert sich ihrem Ende«, postuliert Andreas Weiss, Direktor EuroCloud Deutschland_eco e. V. Er ergänzt: »Viele Unternehmen werden in den nächsten Jahren vor der Herausforderung stehen, ihre IT-Architekturen und Anwendungen unter Beachtung der gebotenen Sicherheit sukzessive mit der Cloud zu verbinden oder ganz in die Cloud zu verlagern.« Die Begründung: Die klassische Firmen-IT sei überhaupt nicht ausgelegt auf die Verarbeitung der zu erwartenden immensen Datenmengen, die je nach Anwendungsfall über Millionen von Eingabequellen wie beispielsweise Sensoren (Omni-Channel-Kommunikation, Anlagensteuerung) in Echtzeit anfallen würden.

 

eco sagt Scheitern ohne Cloud voraus

 

»Unternehmen, die versuchen die Skalierbarkeit, Performance und Funktionalität von Cloudservices in ihrer internen IT abzubilden, werden an Wettbewerbsfähigkeit verlieren und letztlich daran scheitern«, sagt Weiss. Vielmehr müsse der »Cloud Conductor« durch eine neue hybride IT-Architektur nur wenig koordinierende Kernfunktionalität im eigenen Betrieb halten und ansonsten auf die Nutzung von hochskalierbaren Cloudservices setzen.

 

»Bei heute schon über 20 Milliarden vernetzten Geräten weltweit – Tendenz steigend – stößt die klassische IT an ihre Grenzen«, sagt der EuroCloud Direktor. Allein die Verarbeitung der zu erwartenden extrem großen Datenvolumina, um daraus Wertschöpfung abzuleiten (Big/Smart Data), sei künftig selbst für Konzerne in den eigenen Rechenzentren nicht mehr zu leisten. Der Experte verweist auf Studien, die schon vor 2020 ein monatliches Datenvolumen weltweit von über 40 Zetabyte (40 mit 21 Nullen dahinter) prognostizieren. »Das Internet der Dinge, bei dem jedes Gerät von der Armbanduhr über die Kaffeemaschine und das Auto bis hin zu technischen Anlagen im Sekundentakt ständig neue Daten übermittelt, wird von keinem Firmen-Rechenzentrum zu bewältigen sein«, ist sich Weiss sicher.

 

Cloud ist Basis für neue Geschäftsmodelle

 

Eben so wenig könnte die Verwirklichung neuer Geschäftsmodelle auf Grundlage dieser Daten von den Softwareabteilungen der Konzerne in der gebotenen Geschwindigkeit vorangetrieben werden, meint Weiss. Er erklärt: »In praktisch jeder Branche stehen junge Unternehmen vor der Tür, um mit neuen digitalen Geschäftsmodellen den heutigen Marktführern den Garaus zu machen. Beispiele wie AirBnB oder Uber zeigen eindrucksvoll, wie man eine ganze Branche revolutionieren kann, ohne auch nur ein einziges Hotel zu bauen beziehungsweise einen Fuhrpark zu betreiben. Die Umstellung der IT auf die Cloud ist ein Schlüsselfaktor für die Unternehmen, um die Agilität für die neue digitale Geschäftswelt zu erreichen.«

eco (www.eco.de) ist mit mehr als 800 Mitgliedsunternehmen der größte Verband der Internetwirtschaft in Europa. Seit 1995 gestaltet der eco Verband maßgeblich die Entwicklung des Internets in Deutschland, fördert neue Technologien, Infrastrukturen und Märkte, formt Rahmenbedingungen und vertritt die Interessen der Mitglieder gegenüber der Politik und in internationalen Gremien. In den eco Kompetenzgruppen sind alle wichtigen Experten und Entscheidungsträger der Internetwirtschaft vertreten und treiben aktuelle und zukünftige Internetthemen voran. www.eco.de

    

ap-verlag.de/hybride-it-in-den-meisten-unternehmen-praese...

 

ap-verlag.de/leitfaden-fuer-den-aufbau-einer-hybrid-cloud...

 

ap-verlag.de/studie-branchenfuehrer-setzen-auf-hybride-cl...

 

ap-verlag.de/die-klassische-it-naehert-sich-ihrem-ende-cl...

For TechTalk magazine - digital psychology - what smart data says about you

 

www.daleedwinmurray.com

There are many instruments used for identication and tracking purposes in hostpital and malls etc. This is the one of the best RFID reader. The RFID reader is a device that uses to read the bar codes and smart data.

MIPIM 2017 - CONFERENCES - HOW TO SHIFT FROM BIG DATA TO SMART DATA ?

Leading Big Data Analytics event held in Dubai, UAE.

Leading Big Data Analytics event held in Dubai, UAE

2012-09-07 El Salto, Jalisco.

Inauguración del IBM Smarter Data Center Guadalajara. (Gobernador del estado de Jalisco, Emilio González Márquez y el Presidente y Gerente General de IBM en México y Centroamérica, Hugo A. Santana Londoño). Foto. Claudia López

World Telecommunication/ICT Indicators Symposium (WTIS)

 

Smart data for smart ICT regulation and policy-making (EGTI session)

 

Geneva, Switzerland

Wednesday, 12 December 2018

  

©ITU/S. Acharya

2012-09-07 El Salto, Jalisco.

Inauguración del IBM Smarter Data Center Guadalajara. (Gobernador del estado de Jalisco, Emilio González Márquez y el Presidente y Gerente General de IBM en México y Centroamérica, Hugo A. Santana Londoño). Foto. Claudia López

Leading Big Data Analytics Event in the Middle East

Leading Medical Retina Center in Italy Adopts Eyenuk’s EyeArt AI Eye Screening SystemMatternet Raises Strategic Investment from McKesson Ventures to support Matternet’s global expansion of on-demand drone delivery networks for healthcare logisticsGoogle Cloud technologies to power all-new Lufthansa Group operations platformNASA to help fund AnalySwift, Purdue technology shown to speed design of composite deployable structuresFira de Barcelona’s Gran Via venue at the forefront of Wi-Fi 6 deployment in Europe

Allurion Technologies Raises $34M in New FundingEmergex Raises More Than US$11 Million in a Series A Round to Progress Its Pipeline of Set-Point Vaccines for Infectious DiseasesStartUpNV is hosting the inaugural Women’s Dreamers and Believers Conference on Friday, January 24. 2020 in Las VegasWith Breakthrough $161 Million Series B Funding Round, Leading Cell-Based Meat Company Memphis Meats Aims To Bring Products To Consumers For the First TimeKeyMe Raises $35 Million to Further Its Mission of Building the Premier Locksmith Services Company in the Nation

Digital Book World Announces Finalists of the 2019 DBW AwardsViacomCBS Networks International Reorganizes Core Leadership TeamNAB Show (April 18-22, 2020, in Las Vegas) Accepting Nominations for Second Annual Product of the Year AwardsCisco Live Records Hundreds of Technical Sessions with 63 Panasonic AW-UE70 4K Integrated Pan/Tilt/Zoom Cameras with Auto Tracking SoftwarePersonalized News Aggregator App Nabd Overtakes Social Media in Driving Traffic to Key Publishers in MENA Fujifilm to own 100% of Fuji XeroxAspen Risk Management Group Acquired by TRISTAR Insurance GroupTacton: Jens Kuerschner appointed as the first Chief Customer Officer (CCO)Sidetrade and Solocal sign AI partnership dealRed Cat to Acquire Rotor Riot

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2012-09-07 El Salto, Jalisco.

Inauguración del IBM Smarter Data Center Guadalajara. (Gobernador del estado de Jalisco, Emilio González Márquez y el Presidente y Gerente General de IBM en México y Centroamérica, Hugo A. Santana Londoño). Foto. Claudia López

The Energy Smart Data Center (ESDC) testbed facility at EMSL is a first-of-its-kind center of excellence dedicated to developing more efficient methods of managing energy use and associated cooling of data centers. The ESDC supercomputer, NW‐ICE, is used for scientific research while ESDC researchers study energy consumption and test new cooling technologies.

 

NW‐ICE is an IBM System Cluster 1350 using SprayCool™ technology. There are seven compute racks in the testbed, five with SprayCool Thermal Servers that control the SprayCool modules attached to the two processors in each of the servers in the rack.

2012-09-07 El Salto, Jalisco.

Inauguración del IBM Smarter Data Center Guadalajara ( Presidente y Gerente General de IBM en México y Centroamérica, Hugo A. Santana Londoño). Foto. Claudia López

The Energy Smart Data Center (ESDC) testbed facility at EMSL is a first-of‐its‐kind center of excellence dedicated to developing more efficient methods of managing energy use and associated cooling of data centers. The ESDC supercomputer, NW‐ICE, is used for scientific research while ESDC researchers study energy consumption and test new cooling technologies.

 

NW‐ICE is an IBM System Cluster 1350 using SprayCool™ technology. There are seven compute racks in the testbed, five with SprayCool Thermal Servers that control the SprayCool modules attached to the two processors in each of the servers in the rack.

2012-09-07 El Salto, Jalisco.

Inauguración del IBM Smarter Data Center Guadalajara. Foto. Claudia López

The Energy Smart Data Center (ESDC) testbed facility at EMSL is a first-of‐its‐kind center of excellence dedicated to developing more efficient methods of managing energy use and associated cooling of data centers. The ESDC supercomputer, NW‐ICE, is used for scientific research while ESDC researchers study energy consumption and test new cooling technologies.

 

NW‐ICE is an IBM System Cluster 1350 using SprayCool™ technology. There are seven compute racks in the testbed, five with SprayCool Thermal Servers that control the SprayCool modules attached to the two processors in each of the servers in the rack.

2012-09-07 El Salto, Jalisco.

Inauguración del IBM Smarter Data Center Guadalajara. Foto. Claudia López

In light of the increasing power demands of data centers, the Energy Smart Data Center at Pacific Northwest National Laboratory is studying data centers' power generation, conversion, and distribution as well as cooling challenges and deploying and promoting adoption of novel energy efficient technologies.

 

For more information, visit www.pnl.gov/news/

 

Terms of Use: Our images are freely and publicly available for use with the credit line, "Courtesy of Pacific Northwest National Laboratory." Please use provided caption information for use in appropriate context.

2012-09-07 El Salto, Jalisco.

Inauguración del IBM Smarter Data Center Guadalajara. Foto. Claudia López

The Energy Smart Data Center (ESDC) testbed facility at EMSL is a first-of‐its‐kind center of excellence dedicated to developing more efficient

methods of managing energy use and associated cooling of data

centers. The ESDC supercomputer, NW‐ICE, is used for scientific

research while ESDC researchers study energy consumption and test

new cooling technologies.

 

NW‐ICE is an IBM System Cluster 1350 using SprayCool™ technology.

There are seven compute racks in the testbed, five with SprayCool

Thermal Servers that control the SprayCool modules attached to the

two processors in each of the servers in the rack.

IBM - Smarter planet -Smarter Data

Art direction by Ogilvy NY

 

See larger version for more detail

Leading Big Data Analytics event held in Dubai, UAE.

MIPIM 2017 - CONFERENCES - HOW TO SHIFT FROM BIG DATA TO SMART DATA ?

MIPIM 2017 - CONFERENCES - HOW TO SHIFT FROM BIG DATA TO SMART DATA ?

2012-09-07 El Salto, Jalisco.

Inauguración del IBM Smarter Data Center Guadalajara. Foto. Claudia López

2012-09-07 El Salto, Jalisco.

Inauguración del IBM Smarter Data Center Guadalajara. Foto. Claudia López

2012-09-07 El Salto, Jalisco.

Inauguración del IBM Smarter Data Center Guadalajara. Foto. Claudia López

2012-09-07 El Salto, Jalisco.

Inauguración del IBM Smarter Data Center Guadalajara. Foto. Claudia López

2012-09-07 El Salto, Jalisco.

Inauguración del IBM Smarter Data Center Guadalajara. Foto. Claudia López

2012-09-07 El Salto, Jalisco.

Inauguración del IBM Smarter Data Center Guadalajara. Foto. Claudia López

2012-09-07 El Salto, Jalisco.

Inauguración del IBM Smarter Data Center Guadalajara. Foto. Claudia López

2012-09-07 El Salto, Jalisco.

Inauguración del IBM Smarter Data Center Guadalajara. Foto. Claudia López

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