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The Evolution of Data Lakes

In this special guest feature, Glenn Graney, Director – Industrial & High Tech for QAD, suggests that manufacturers should be planning for all enterprise data sets to be part of the greater data lake. The transition to a data lake emphasizes flexible access to analysis tools and is less centered on data preparation. By definition, the data lake will be made up of a variety of data sources and the accessibility requirements and effort will only be defined at the time of the query.

Gengo.ai Debuts Service for Acquiring Advanced Multilingual Machine-Learning Training Data

Gengo, a leader in expert, high-scale crowdsourced translation services, is taking aim at the growing need for high-quality multilingual data to train tomorrow’s advanced AI (artificial intelligence) based systems. Gengo.ai launched an on-demand platform that provides developers of machine-learning systems access to a wide array of multilingual services delivered by Gengo’s fast and efficient crowdsourced network of 25,000+ vetted contributors.

Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language Processing

There is a lot of excitement in the market about artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). Overall, one thing is clear—organizations that are utilizing these technologies now are gaining value. Download the new TDWI Best Practices Report, courtesy of SAS, to learn more about the latest innovations in advanced analytics. 

“Above the Trend Line” – Your Industry Rumor Central for 6/11/2018

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 people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

BlueData Offers New Turnkey Solution for AI and Machine Learning

BlueData, provider of a leading Big-Data-as-a-Service (BDaaS) software platform, announced a new solution to accelerate deployment of artificial intelligence (AI), machine learning (ML), and deep learning (DL) applications in the enterprise. The BlueData AI / ML Accelerator solution includes the software and professional services to deploy containerized multi-node sandbox environments for exploratory use cases with […]

Data Science: Why Retail Will Reap the Biggest Rewards

In this special guest feature, Sarah Kampman, VP of Product at Square Root, discusses why retail is positioned to reap the biggest benefits of data analytics today. Sarah shares why machine learning and AI may be the secret weapon to solving for the the challenge of operating hundreds — even thousands — of disparate store locations, and how the approaches can be used to drive store performance, increase alignment and impact decision making at every level of a retail org.

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

Veteran AI Experts Launch Weights & Biases to Offer State of the Art Developer Tools for Machine Learning

Weights & Biases (W&B) launched with the first enterprise AI platform to help teams visualize and debug machine learning models. W&B received $5 million in a Series A investment round co-led by Trinity Ventures and Bloomberg Beta.

TOP 10 insideBIGDATA Articles for May 2018

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.

Interview: Tammy Bilitzky, CIO of DCL

I recently caught up with Tammy Bilitzky, CIO of DCL, to do a deep dive into how her company utilizes state-of-the-art technologies like machine learning, AI, deep learning and NLP to make DCL’s products competitive. Tammy is responsible for managing DCL’s technology department, continuing its focus on resilient, high-quality, and innovative products, while helping to grow the organization.