The practice of analytics engineering (made popular by dbt Labs) took the data world by storm last year as the novel approach changed how data professionals work. Today, dbt Labs officially launched the inaugural State of Analytics Engineering report. The report assessed the analytics engineering practice and gathered insights from those actively involved in the day-to-day of data.
dbt Labs Report – Opportunities and Challenges for Analytics Engineers
How We Use Synthetic Data to Improve Performance and Break Away from Dataset Constraints
In this contributed article, Jan Lunter, CEO & CTO of Innovatrics, highlights how synthetic data is an efficient technology to supplement datasets with types of data that are underrepresented. The advancements made in recent years in generative adversarial networks (GANs) allow us to leverage the benefits of generating synthetic data for a wide range of machine learning (ML) applications.
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 Brings Generative AI to World’s Enterprises With Cloud Services for Creating Large Language and Visual Models
To accelerate enterprise adoption of generative AI, NVIDIA announced a set of cloud services that enable businesses to build, refine and operate custom large language models and generative AI models that are trained with their own proprietary data and created for their unique domain-specific tasks.
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.
Milvus 2.3 Massively Accelerates AI-Powered Applications With NVIDIA GPU Support
Zilliz, the inventor of the open-source vector database Milvus, announced the launch of Milvus 2.3, featuring NVIDIA GPU support for greater flexibility and dramatic improvements in real-time workload performance.
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.
Unlocking Hidden Value From Production Line Data
In this contributed article, Dr Richard Parmee, founder and CEO of Sapphire Inspection Systems, highlights how the increased connectivity of devices and data analysis tools is now making it possible to unlock hidden value from production-line data. He explains how the real-time insights from end-of-line inspection equipment can be used to optimize processes.