In this special guest feature, Sanjay Pichaiah, VP of Product Growth at Akridata, highlights why it is time for data scientists to stop building models and start training data. The path to better models and greater model accuracy doesn’t lie …
Just a few weeks ago, IBM announced an expansion to their embeddable AI software portfolio with the release of three containerized Watson libraries. This expansion allows our partners to embed popular IBM Watson capabilities, including natural language processing, speech-to-text, and text-to-speech into …
Embeddable AI saves time building powerful AI applications Read more »
Anyscale, the company behind Ray open source, the unified compute framework for scaling any machine learning or Python workload, announced several new advancements on the Anyscale Platform™ at AWS re:Invent in Las Vegas, NV. The new capabilities extend beyond the advantages of Ray open source …
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights …
In this contributed article, editorial consultant Jelani Harper offers his perspectives around 2023 trends for the boundless potential of generative Artificial Intelligence—the variety of predominantly advanced machine learning that analyzes content to produce strikingly similar new content.
Metadata management performs a critical role within the modern data management stack. It helps blur data silos, and empowers data and analytics teams to better understand the context and quality of data. This, in turn, builds trust in data and …
Maximize your data dividends with active metadata Read more »
Researchers from South Korean Chung-Ang University propose methods that theoretically guarantee minimal loss for worst case scenarios with minimal prior information for heavy-tailed reward distributions.
d-Matrix, a leader in high-efficiency AI-compute and inference, announced a collaboration with Microsoft using its low-code reinforcement learning (RL) platform, Project Bonsai, to enable an AI-trained compiler for d-Matrix’s unique digital in memory compute (DIMC) products. The user-friendly Project Bonsai …
In this special guest feature, Robert Eichelman, Solutions Architect at Experis, shows that whether you are starting to build your Master Data Management (MDM) approach or are continuing to evolve your current program, there are key MDM fundamentals to keep …
Our friends from the Deci Team offer “The Ultimate Guide for Computer Vision Deployment on NVIDIA Jetson” which is perfect if you’re running or planning to run computer vision applications on NVIDIA Jetson devices.