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

The insideBIGDATA IMPACT 50 List for Q4 2019

The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most 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!

Pattern89 Introduces New Marketing AI Tools for Social Media Advertising Life Cycle

Pattern89, a marketing technology company revolutionizing social media marketing through artificial intelligence (AI), announced the launch of new tools to maximize and understand ad performance at every stage of the digital advertising life cycle. The new set of capabilities, collectively called Voyager, contains four features to help digital marketers push creative, optimization and performance limits to new heights with the help of AI. These updates bring a better level of transparency and insight to AI-backed results than ever before.

Interview: Haoyuan Li, Founder and CTO of Alluxio

I recently caught up with Haoyuan Li, Founder and CTO of Alluxio to examine the next critical piece in the data evolution: Data Orchestration – the missing piece in building hybrid and multi-cloud analytical architectures. Haoyuan Li received his Ph.D. from UC Berkeley AMPLab, in Computer Science. At the AMPLab, he created Alluxio (formerly Tachyon) Open Source Data Orchestration System, co-created Apache Spark Streaming, and became an Apache Spark founding committer.

“Above the Trend Line” – Your Industry Rumor Central for 10/7/2019

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.

TOP 10 insideBIGDATA Articles for September 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.

Manufacturing Industry Predicted to Benefit Most from Artificial Intelligence Technology

It’s widely agreed that the implementation of artificial intelligence is vital for future growth, but just how much impact can AI have across industries? RS Components has analyzed data from Mckinsey’s Global Institute to see how much revenue growth AI innovative companies can expect to see when compared to businesses who fail to invest in the technology. The full findings are found in a report, “AI Industry Boost – Which Industries will Benefit the Most?”

insideBIGDATA Guide to Optimized Storage for AI and Deep Learning Workloads – Part 3

Artificial Intelligence (AI) and Deep Learning (DL) represent some of the most demanding workloads in modern computing history as they present unique challenges to compute, storage and network resources. In this technology guide, insideBIGDATA Guide to Optimized Storage for AI and Deep Learning Workloads, we’ll see how traditional file storage technologies and protocols like NFS restrict AI workloads of data, thus reducing the performance of applications and impeding business innovation. A state-of-the-art AI-enabled data center should work to concurrently and efficiently service the entire spectrum of activities involved in DL workflows, including data ingest, data transformation, training, inference, and model evaluation.

Why Data Annotation is the Secret to Hacking AI

In this special guest feature, Michael Goldberg, VP of Marketing at Innodata (NASDAQ: INOD), indicates that even the most technically advanced algorithm cannot address or solve a problem without the right data. We know having access to data is quite valuable, but having access to data with a learnable ‘signal’ consistently added at a massive scale is the biggest competitive advantage nowadays. That’s the power of data annotation.

Interview: Nancy Duarte, Author and CEO of Duarte, Inc.

I recently caught up with Nancy Duarte, CEO of Duarte, Inc. and author of DataStory: Explain Data and Inspire Action Through Story to discuss her views on a topic that’s critical to successful data science projects – data storytelling. Nancy has contributed her expertise to MIT and Forbes and is a regular contributor to Harvard Business Review and Linkedin’s Influencer Program and can be heard on Lewis Howes, Art of Charm and Entrepreneur on Fire. She has an engaged following of 235,000+.