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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.

TOP 10 insideBIGDATA Articles for January 2019

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels. We’re happy to oblige! We understand that busy big data professionals can’t check the site everyday.

How AI and Big Data Can Help Consumer Goods Companies Run Profitable Trade Promotions?

In this contributed article, Hemanth Kumar of Acuvate discusses how AI and Big Data come together to generate important benefits for each step of trade promotions, including improved promotion forecasting and planning, promotion effectiveness and measurement and finally, enabling companies to optimize trade promotions to drive critical business results.

Managing the Threat Above—How AI Can Streamline Cloud Computing with Burgeoning Data Growth

In this special guest feature, Tyrone Pike, President & CEO of FileShadow, Inc., observes that the number of files transferred daily makes it extremely difficult to manage manually, but AI is improving cloud technology to handle the influx. Applying AI to cloud storage enables users to gather, analyze, catalog and protect more data than ever before.

The Importance of Opening the AI Black Box in 2019

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 – examine the importance of opening the AI “black box” and how “explainability” will be hot in 2019.

“Above the Trend Line” – Your Industry Rumor Central for 2/4/2019

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.