I recently caught up with Adam Compain, CEO of ClearMetal, to discuss how AI already is being used in the logistics industry to decipher the global supply chain’s many big data complexities.
EDITED, the source of real-time data for brands and retailers, has launched the first software feature to help companies capitalize on the billion dollar activewear market.
The insideBIGDATA Guide to Healthcare & Life Sciences is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting new area of technology. This segment focuses on the use of distributed system architectures – Hadoop and Spark.
In this special guest feature, Barry Bolding, Senior VP and Chief Strategy Officer at Cray Inc., discusses a highly germaine topic for many enterprises today: the intersection of big data and high performance computing.
Please participate in our new audience survey on AI/machine learning/deep learning and give us your opinions about whether your company has any plans to become an AI Enterprise?
The water and wastewater industry is in transition to a digital revolution that has the potential to transform the industry from the use of data-driven technologies, with utility sector spending dwarfing the industrial market. This is according to a new report by Global Water Intelligence (GWI) that provides a detailed guide to the opportunities in this smart market.
The insideBIGDATA Guide to Healthcare & Life Sciences is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting new area of technology. This segment focuses on the rise of deep learning.
UCHealth announced its inpatient operating room (OR) utilization at University of Colorado Hospital has seen a 16 percent increase for the blocks exchanged through mobile block swaps, in just three months with the launch of smart block scheduling based on predictive analytics.
In the video presentation below, courtesy of our friends over at GridGain, Eric Karpman shares how some of the world’s largest financial institutions use in-memory computing to address the challenges of high frequency trading.
Today SGI announced that enterprises can now leverage the Intel-based SGI UV 300H server in a multi-node cluster (scale out) to run SAP Business Warehouse (SAP BW) on SAP HANA or new SAP BW/4HANA. Unique to SGI, the cluster nodes can later be reconfigured as single-node systems with 1 to 32TB of shared memory (scale up) to run SAP S/4HANA and other real-time applications. “For large enterprises that plan to migrate to SAP S/4HANA but wish to begin their journey to SAP HANA with SAP BW, our new SGI cluster offering is unquestionably the optimal solution,” said Jorge Titinger, president and CEO, SGI. “The scalability of the SGI UV 300H architecture coupled with our expertise in mission-critical environments provides an ideal path to real-time business with SAP HANA.”