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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.

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.

Using Artificial Intelligence to Treat Addiction

In this contributed article, digital marketer Tiago Lacerda discusses the various ways AI can be used to help treat addiction. It makes sense that utilizing the potential of AI would reach a hotly discussed but woefully unaddressed issue in societies across the planet: substance abuse and addiction.

AI Technology and the Critical Role People Will Play in Driving AI Forward

In this special guest feature, Mark Sears, Founder and CEO at CloudFactory, provides a few ways people are involved in making AI-powered systems work better, faster and more accurately. Advances in AI and other disruptive technologies don’t just happen. They take well-trained, tech-savvy people who can process massive amounts of data quickly and accurately to help companies get solutions to market, or scale a critical data process fast.

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.

Living On the Edge: Extracting Ultimate Value from Your IoT Data

In this contributed article, Jerry Baulier, Vice President of IOT R&D at SAS describes IoT and streaming analytics and the potential lifesaving benefits from that real-time data. Streaming data allows you to assemble meaning from IoT data when you need it, both in real time and historically to identify trends in cross-sensor analysis. By processing data on the edge, organizations, individuals and communities are benefiting from the insights offered by real-time data.

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.

Increasing Analytic Project Success

In this special guest feature, Erik Ottem, Director of Product Marketing, Data Center Systems at Western Digital, discusses how to build a better data lake, equipped with elements such as scaling measures, object storage adapters and ultimately enough performance to handle large analytic workloads.

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.

Setting the Stage for the IoT Revolution: How Businesses Can Improve Their Data Strategies Before It’s Too Late

In this contributed article, Paul Silevitch, VP of Engineering at SiteSpect, discusses how to effectively prepare for the imminent IoT revolution, where executive teams across organizations — from IT to marketing — must hone their current data analysis processes. Here’s how businesses can get smarter about their data strategies and make the best use of the information at their fingertips.