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Interview: Jamie Engesser, VP Product Mangement at Hortonworks

I recently caught up with Jamie Engesser, VP Product Mangement at Hortonworks during the company’s DataWorks Summit 2018 conference in San Jose, California, to get an update on his company’s direction and his sense for the pulse of the big data industry.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – June 2018

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

Facing Your Data Framework

In this special guest feature, Lyndsay Wise, Solution Director, Professional Services Division North America at Information Builders, examines the sizable leap from technology purchase to deployment, and how many organizations can fall victim to common pitfalls along the way. Here are three fundamentals to consider when implementing AI, ML and predictive analytics.

The insideBIGDATA IMPACT 50 List for Q3 2018

The team here at insideBIGDATA is deeply entrenched in the big data ecosystem of companies from around the globe. We’re in close contact with a great many of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and services. We’re happy to publish this evolving list of the industry’s most impactful companies!

Net Neutrality and Impact on Cloud Computing

In this contributed article, Founder, President, and CEO of Atlantic.Net, discusses the recent FCC announcement on net neutrality and how it will impact cloud computing as we know it.

Cray Announces New AI Workflow Software Suite and Reference Configurations to Jump-start AI and Analytics Deployments

Cray Inc. (Nasdaq: CRAY) announced it is accelerating and simplifying its customers’ path to value from artificial intelligence (AI). The company is introducing the Cray® Urika®-CS AI and Analytics software suite for the Cray® CS™ series and new Cray® Accel AI™ reference configurations to help IT and AI teams.

Penguin Computing Unveils Powerful New Solution That Delivers Geographically Dispersed Data at Landmark Speeds While Also Providing Easy Access

Penguin Computing, a subsidiary of SMART Global Holdings, Inc. (NASDAQ: SGH) and a leading provider of high performance computing (HPC), artificial intelligence (AI), enterprise data center and cloud solutions, announced the availability of the Accelion™ managed data access platform.

Finance Careers Utilizing Big Data

In this contributed article, freelance human Avery Phillips suggests that if you are considering any sort of career in the finance field, you will more than likely be directly or indirectly involved with Big Data at some point in your career. If you are looking at finance, consider your relationship with its partner-in-crime, big data.

State of the Art Natural Language Processing at Scale

The two part presentation below from the Spark+AI Summit 2018 is a deep dive into key design choices made in the NLP library for Apache Spark. The library natively extends the Spark ML pipeline API’s which enables zero-copy, distributed, combined NLP, ML & DL pipelines, leveraging all of Spark’s built-in optimizations.

Transform Your Business Process Into a Game and Let an AI Become Best At It

In this special guest feature, Eliya Elon, Director of Product and Business Development at Razor Labs, discusses a new technology that is starting to trickle from the purely theoretical academic world to the business world, one that aligns with your company objectives, that draws a clear line between your business question and the insights generated. This new technology is called Deep Reinforcement Learning, and it is gaining significant success in different use-cases.