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Advancements in Dynamic and Efficient Deep Learning Systems

We’re seeing much hype in the marketplace about the potential of AI, especially with respect to computer vision systems and its ability accelerate the development of everything from self-driving cars to autonomous robots. To create more dynamic and efficient deep learning systems, that don’t compromise accuracy, IBM Research is exploring new and novel computer vision techniques from both a hardware and software angle.

Interview: Dr. Bhushan Desam, Director, Global AI Business at Lenovo

I recently caught up with Dr. Bhushan Desam, AI global business leader for Lenovo’s Data Center Group to discuss how the digital transformation of business isn’t truly possible without incorporating machine learning. Digital transformation is underway. As the C-suite demands better insights from data, enterprises will be tasked to make data-driven decisions based on those insights.

Interview: Ashley Kramer, VP Product Management at Alteryx

I recently caught up with Ashley Kramer, VP Product Management for Alteryx during the company’s Inspire 2018 conference in Anaheim, California, to get an update on her company’s direction. Alteryx is a leader in self-service data analytics, one of the fastest growing software markets.

Interview: Dr. Roger Brooks, Chief Scientist at Guavus

I recently caught up with Dr. Roger Brooks, Chief Scientist at Guavus, to get some insights into how his company is positioned in the marketplace in terms of solutions based on AI and machine learning. Guavus is a big data analytics company developing apps that allow companies to embed data driven-decisions into agile businesses processes.

“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.

Interview: Stephen Goldberg, CEO of HarperDB

I recently caught up with Stephen Goldberg, CEO of HarperDB, to discuss how his company was founded to deliver a simple solution that could be used by any developer of any skill level without sacrificing scale or performance. He also comments on how the HarperDB database solution is being used for IoT project development, app development and enterprise data warehouses. Founded in 2017 and headquartered in Denver, HarperDB’s founding team has spent many years working in enterprise architecture, software integration, software development, and software sales.

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.

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.

Data Science 101: Handling Missing Data (Revisited)

I recently received the following question on data science methods from an avid reader of insideBIGDATA who hails from Taiwan. I think the topics are very relevant to many folks in our audience so I decided to run it here in our Data Science 101 channel. The issue of missing data is one most data scientists see quite frequently.

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.