The Cutting Edge: Is Video the Uber-Sensor for Factory IoT?

Click to learn more about author Will Ochandarena. When most people think of Industrial IoT use cases, they think about the insights that can be derived by monitoring thousands of little sensors. For oil fields it may be temperature and pressure sensors, and for manufacturing lines it may be power draw or readings from a […]
Read More →GridGain Professional Edition 2.4 Introduces Integrated Machine Learning and Deep Learning

by Angela Guess According to a recent press release, “GridGain Systems, provider of enterprise-grade in-memory computing solutions based on Apache® Ignite™, today announced the immediate availability of GridGain Professional Edition 2.4, a fully supported version of Apache Ignite 2.4. GridGain Professional Edition 2.4 now includes a Continuous Learning Framework, which includes machine learning and a […]
Read More →NVIDIA Expands Its Deep Learning Inference Capabilities for Hyperscale Datacenters

by Angela Guess According to a new press release, “NVIDIA today announced a series of new technologies and partnerships that expand its potential inference market to 30 million hyperscale servers worldwide, while dramatically lowering the cost of delivering deep learning-powered services. Speaking at the opening keynote of GTC 2018, NVIDIA founder and CEO Jensen Huang […]
Read More →HPE Launches Vertical AI Solutions, Dramatically Accelerates Deep Learning Training

by Angela Guess According to a recent press release, “Hewlett Packard Enterprise today announced new offerings to help customers ramp up, optimize and scale artificial intelligence (AI) usage across business functions to drive outcomes such as better demand forecasting, improved operational efficiency and increased sales. The new offerings include: HPE Digital Prescriptive Maintenance Services, the […]
Read More →Seven Things Artificial Intelligence Won’t Do

Click to learn more about author Kimberly Nevala. Despite the amazing potential of Artificial Intelligence (AI), there are some things it just won’t do. If not properly addressed, these considerations can become immovable barriers to AI adoption. As you may already suspect, they have very little to do with the technology itself or the availability […]
Read More →Big Data and Business Intelligence: What’s the Difference?

Click to learn more about author Dan Kusnetzky. Big Data has been in the media constantly recently, but its definition and use still eludes some enterprise decision-makers. Their enterprises have invested heavily in Business Intelligence (BI) processes and applications and find themselves confused if what they have been doing will live happily under the new name […]
Read More →Data Modeling Trends in 2018

The Database Management and Data Modeling landscapes have evolved significantly in the past few years, from the traditional relational model to now include non-relational models as well. The growth of Big Data and its unstructured and semi-structured data formats, along with trends in Cloud Computing, Artificial Intelligence, Data Lakes, Machine Learning, Blockchain and others pushing […]
Read More →What is Artificial Intelligence (AI)?

According to the SAS Institute: “Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing. Using these technologies, computers can […]
Read More →What Search Data Tells Us About Enterprise Tech Investments in 2018

Click to learn more about author Ben Lorica. Big Data, AI, Blockchain…the list of enterprise tech buzzwords rages on. With all the hype, it can be difficult for business leaders to determine which technologies to commit their money and minds to in the new year. Because of this, companies often move fast into new technologies […]
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