Report Highlights Policy Changes to Manage AI Displacement

The Global Partnership on Artificial Intelligence (GPAI) has just released a new report, “Generative AI, Jobs, and Policy Response,” focused on the biggest pain points regarding GenAI, specifically how it will impact the workforce.

Video Highlights: PyTorch 2.0 on the ROCm Platform

From the recent PyTorch Conference we present a Lightning Talk: PyTorch 2.0 on the ROCm Platform by Douglas Lehr, Principal Engineer at AMD. Douglas talks about the current state of PyTorch on the ROCm platform including efforts to achieve day 0 support for Triton on Pytorch 2.0 as well as performance improvements, efforts with Huggingface, and other areas.

Infosys Generative AI Radar Report

Our friends over at Infosys Knowledge Institute released its Generative AI Radar report providing insight into over 1,000 U.S. and Canadian businesses on the current state of generative (gen) AI implementation and early indications of its ability to deliver value. 

The Time is Now for Green AI

Our friends over at Booz Allen, are strategizing about what organizations can do now to start making a positive environmental impact, while maintaining the same level of efficiency with AI models. This and many other topics are covered in the latest edition of Velocity, a Booz Allen publication.

Lambda and VAST Data Partner to Accelerate AI Training Across Public and Private Cloud, Leveraging NVIDIA Technology 

VAST Data, the AI data platform company and Lambda, a leading Infrastructure-as-a-Service and compute provider for public and private GPU infrastructure, today announced a strategic partnership that will enable the world’s first hybrid cloud experience dedicated to AI and deep learning workloads. Together, Lambda and VAST are building an NVIDIA GPU-powered accelerated computing platform for Generative AI across public and private clouds.

Generative AI: Redefining the Economics of Software Development

Generative AI technology offers a wide range of vertical use cases for software companies, high-tech firms, ISVs, and DNBs to meet efficiency demands and expedite workflows. In fact, a new research study, “Generative AI: Redefining the Economics of Software Development,” from our friends at SoftServe shows Open AI’s Generative AI can increase productivity for development teams across the SDLC (software development life cycle) by up to 45%.

Research Highlights: Dremio Demonstrates Data Lakehouse Value with Math-Style Proof and Technical Clarity

Dremio, the easy and open data lakehouse, has published “The Data Lakehouse: Data Warehousing and More,” a novel research paper now available on arXiv. The paper explores the data lakehouse model, offering modern insights for businesses looking to optimize their data utilization. The idea through this preprint publication is to gather feedback from the open source research and scientific community and make it available to the wider community of practitioners.

GitHub Releases New Research on Copilot Chat

New research from GitHub takes a look at Copilot Chat’s impact on authoring and reviewing code. The company conducted a study where 36 developers used GitHub Copilot and Copilot Chat to author and review code – it’s obviously a small sample size, in part due to how new the tool is, though early results are interesting.

Survey: Massive Retooling Around Large Language Models Underway

A recent survey of data scientists and engineers revealed that over half (53.3%) of today’s machine learning (ML) teams are planning on deploying a large language model (LLM) application of their own into production “within the next 12 months” or “as soon as possible”. Perhaps even more startling, however, is the finding that nearly one in ten (8.3%) enterprise ML teams have already deployed an LLM application into production.

Video Highlights: Make Better Decisions with Data — with Dr. Allen Downey

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, is joined by Dr. Allen Downey, renowned author and professor, who shares insights from his upcoming book ‘Probably Overthinking It,’ breaking down underused techniques like Survival Analysis, explaining common paradoxes, discussing the dynamic Overton Window, and how to be prepared for Black Swan events. Strap in for a data-driven journey that will help you learn how to make better decisions with data!