In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.
Search Results for: data center
Data Center and Infrastructure Report: Trends and Insights for 2023
Service Express surveyed over 900 IT professionals to identify the priorities, challenges and decision drivers impacting data center strategies. Find helpful insights and more in this fifth annual report. The global shift in health, business and technology is still shaping IT landscapes. Leaders continue to evolve strategies to address supply chain disruptions, security threats, performance […]
Acceldata and its Data Observability Platform – Solving Big Data Management Challenges
In this video interview with Ashwin Rajeeva, co-founder and CTO of Acceldata, we talk about the company’s data observability platform – what “data observability” is all about and why it’s critically important in big data analytics and machine learning development environments.
Scale to Survive: How to Attract Investors in a Post-SVB World
In this contributed article, Eric Kavanagh is CEO of The Bloor Group, focuses on a recent conversation between a pair of tech executives: Software AG CEO Sanjay Brahmawar and former IBM president and Red Hat CEO Jim Whitehurst. The two leaders talked about innovations and investing in challenging financial times, a topic made even more relevant in the wake of the SVB news.
Acceldata Expands Data Observability Platform with New Data Reliability Capabilities
Acceldata, a market leader in data observability, announced significant enhancements to its data reliability solution, including no-code/low-code options, intelligent alerting, targeted recommendations, and self-healing capabilities to solve the most complex data reliability challenges while improving operational efficiency and reducing costs.
O’Reilly 2023 Tech Trends Report Reveals Growing Interest in Artificial Intelligence Topics, Driven by Generative AI Advancement
O’Reilly, a premier source for insight-driven learning on technology and business, announced the findings of its annual Technology Trends for 2023 report, which examines the most sought-after technology topics consumed by the 2.8 million users on O’Reilly’s online learning platform.
NVIDIA Launches Inference Platforms for Large Language Models and Generative AI Workloads
NVIDIA launched four inference platforms optimized for a diverse set of rapidly emerging generative AI applications — helping developers quickly build specialized, AI-powered applications that can deliver new services and insights. The platforms combine NVIDIA’s full stack of inference software with the latest NVIDIA Ada, NVIDIA Hopper™ and NVIDIA Grace Hopper™ processors — including the NVIDIA L4 Tensor Core GPU and the NVIDIA H100 NVL GPU, both launched at GTC.
Domino Data Lab Makes Cutting-Edge AI Accessible to All Enterprises
Domino Data Lab, provider of a leading Enterprise MLOps platform trusted by over 20% of the Fortune 100, today at NVIDIA’s GTC, a global conference on AI and the Metaverse, announced powerful new updates giving every enterprise access to cutting-edge open-source tools and techniques to achieve AI value sooner.
NVIDIA Hopper GPUs Expand Reach as Demand for AI Grows
NVIDIA and key partners today announced the availability of new products and services featuring the NVIDIA H100 Tensor Core GPU — the powerful GPU for AI — to address rapidly growing demand for generative AI training and inference.
Lightning AI Releases PyTorch Lightning 2.0 and a New Open Source Library for Lightweight Scaling of Machine Learning Models
Lightning AI, the company accelerating the development of an AI-powered world, today announced the general availability of PyTorch Lightning 2.0, the company’s flagship open source AI framework used by more than 10,000 organizations to quickly and cost-efficiently train and scale machine learning models. The new release introduces a stable API, offers a host of powerful features with a smaller footprint, and is easier to read and debug.