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AI Plays Important Roles at 3 Leading Companies

Today we conclude the insideBIGDATA Executive Round Up, our annual feature showcasing the insights of thought leaders on the state of the big data industry, and where it is headed. In today’s discussion, our panel of experienced big data executives – Ayush Parashar, Co-founder and Vice President of Engineering for Unifi Software, Robert Lee, Vice President & Chief Architect, Pure Storage, Inc., and Oliver Schabenberger, COO & CTO at SAS – discusses the most important role AI plays for their company’s mission statement, and how that role will be cultivated in 2019?

KPMG Launches Framework to Help Businesses Gain Greater Confidence in their AI Technologies

To help organizations manage and evolve AI responsibly, KPMG has introduced AI In Control, a framework supported by a set of methods, tools, and assessments to help organizations realize value from AI technologies, while achieving imperative objectives like algorithm integrity, explainability, fairness and agility.

Global Artificial Intelligence Patent Survey

In this contributed article, Aaron Gin, Ph.D., partner and Margot M. Wilson, associate, with McDonnell Boehnen Hulbert & Berghoff LLP, explore AI-related patenting trends in various international jurisdictions and provides information on recent developments, common patentability issues, and tips for navigating similar trends in United States patent prosecution.

How AI-optimized Hardware Solves Important Compute and Storage Requirements

Today we continue the insideBIGDATA Executive Round Up, our annual feature showcasing the insights of thought leaders on the state of the big data industry, and where it is headed. In today’s discussion, our panel of experienced big data executives – Ayush Parashar, Co-founder and Vice President of Engineering for Unifi Software, Robert Lee, Vice President & Chief Architect, Pure Storage, Inc., and Oliver Schabenberger, COO & CTO at SAS – discusses how AI-optimized hardware solves important compute and storage requirements in support of AI, machine learning, and deep learning.

Robots Keeping Shelves Stocked: How Machine Learning and AI is Helping the CD Industry Stay in the Game

In this special guest feature, Amjad Hussain, founder and CEO of Algo.ai,, observes that whereas 20 years ago, labels were able to flood stores with CDs in the knowledge surplus inventory would inevitably sell over time, doing so now could lead to huge losses. As such, companies are increasingly turning to new smart technology which harnesses the power of machine learning AI to accurately predict future demand using existing data.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – January 2019

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.

R2.ai Launches SaaS-based AutoML Tool to Drive Mass AI Adoption

R2.ai, which enables businesses and individuals to develop AI solutions on their own, announced the availability of its software as a service (SaaS) offering. Originally an on-premise solution, R2.ai’s new SaaS platform makes it easier for a broader range of businesses and individuals to develop and deploy AI with little AI expertise.

Digital Love: How “Love Song” was Written with the Help of AI

This Valentine’s Day, an AI has collaborated with humans to write a beautiful love song for you. Just think of it as a little computer love. “Love Song” was written with the help of Amadeus Code, the AI songwriting assistant that takes data from centuries of music to inspire songwriters with melodic ideas. While Amadeus Code can assist in the creative process, like any AI, it cannot feel love. This is why collaboration with the Amadeus Code team was necessary to fully bring the track to life.

Field Report: H2O World 2019 San Francisco

I was pleased to be on-hand for the recent (Feb. 4-5) H2O World 2019 conference in beautiful San Francisco. This was my first H2o.ai conference and I was looking forward to drilling down into their popular open source solutions for data scientists including the H2O machine learning platform, Sparkling Water machine learning platform on Spark, H2O4GPU accelerated AI for GPUs, as well as the groundbreaking Driverless AI automatic machine learning (AutoML) platform. With all this leading-edge technology and resulting industry buzz, I can see why the company recently ranked #9 on insideBIGDATA’s IMPACT 50 list of the industry’s most impactful companies.

Can AI Democratize Life Insurance?

In this contributed article, Andrew W. Singer, Principal, Singer Publications, discusses how several startups are using AI to address some problems with obtaining life insurance. In the process, they just may democratize life insurance. With AI, you are changing the paradigm.