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AI Chihuahua! Part I: Why Machine Learning is Dogged by Failure and Delays

d2iq

Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail , and for the few models that are ever deployed, it takes many months to do so. As little as 5% of the code of production machine learning systems is the model itself. Adapted from Sculley et al.

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Big Data: The Hadoop Business Case

CTOvision

The term “Big Data” has become synonymous with this evolution. But still, many of our customers continue to ask, “What is Big Data?”, “What are its use cases?”, What is Big Data? The data is too big, moves too fast, or does not fit the structures of your database architectures.

Big Data 114
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National Security Software On Wall Street: Cognitio’s Roger Hockenberry Comments

CTOvision

Cognitio's Roger Hockenberry provided context in this report: “Both Wall Street and the intelligence world want the same thing: to find unknown unknowns in the data,” said Roger Hockenberry, the former chief technology officer of the Central Intelligence Agency’s clandestine services and now a partner at the consulting firm Cognitio Corp.

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10 December Industrial IoT Webinar

CTOvision

Today, we are amidst the third industrial revolution that is driven by IoT and Big Data analytics. Learn from market leaders who could adapt their focus from assets (things) to APIs (intelligence). See how industrial automation is being accelerated through machine learning. Read more about Frank Gillett here.

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The IBM Press Release on Spark That Every Tech Leader Should Read

CTOvision

IBM will also put more than 3,500 IBM researchers and developers to work on Spark-related projects at more than a dozen labs worldwide; donate its breakthrough IBM SystemML machine learning technology to the Spark open source ecosystem; and educate more than one million data scientists and data engineers on Spark.

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Industry X.0 – Made Real, Practical Insights Today enabling Profits Tomorrow

Cloudera

But then conflicting information arrives as VentureBeat reports that around 90 percent of machine learning models never make it into production? In other words, only one in ten of a data scientist’s workdays actually end up producing something useful for the company. Mass Data Fragmentation / Difficulty Ingesting all Data .

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20 influential women in software development

Apiumhub

She has over 18 years of experience in software industry as an author, speaker, mentor, consultant, technology leader and developer. Liz Keogh is an independent Lean and Agile consultant based in London. Leah is currently CTO of Breaker, which she co-founded with Erik Berlin in December 2016. LinkedIn. 10 – Liz Keogh.