Cognizant (NASDAQ: CTSH) has released a companion analysis to its comprehensive 2023 study with Oxford Economics, and the new report – titled “New Work, New World: Quantifying Global Gen AI Momentum” – outlines cautious optimism is driving current market adoption of generative AI across various industries and geographies.
Cognizant & Oxford Economics’ Companion Study to their “New Work, New World” Report Shows Cautious Optimism Among Enterprises Adopting AI
August 6, 2024 by Leave a Comment
Data Science and AI Company KNIME Secures Investment to Accelerate Adoption of Enterprise-Grade AI Governance and ModelOps
August 6, 2024 by Leave a Comment
KNIME, one of the leading open-source data science and AI companies, has raised additional funding from its longstanding investor Invus. Since the last announcement, Invus invested another $30M, bringing total funding to $50M. This will allow KNIME, as the only open-source, low-code data science company on the market, to double down on development of its enterprise-grade AI governance and ModelOps capabilities, while continuing to stay ahead of the rapid innovation in the field.
New Study Puts Claude3 and GPT-4 up Against a Medical Knowledge Pressure Test
August 1, 2024 by Leave a Comment
Kahun, the evidence-based clinical AI engine for healthcare providers, shares the findings from a new study on the medical capabilities of readily-available large language models (LLMs). The study compared the medical accuracy of OpenAI’s GPT-4 and Anthropic’s Claude3-Opus to each other and human medical experts through questions based on objective medical knowledge drawn from Kahun’s Knowledge Graph.
Cohesity Bolsters Cyber Resilience with GenAI Capabilities
July 30, 2024 by Leave a Comment
Cohesity, a leader in AI-powered data security and management, today extended its first-mover advantage in GenAI detection and recovery capabilities with the addition of significant new enhancements to the Cohesity Data Cloud. These improvements allow customers to use Cohesity’s built-in AI capabilities to rapidly detect, investigate, and address potential threats within their environment, enabling them to restore operations far more quickly.
Couchbase Study: Financial Services Organizations Ramp Up for GenAI Despite Infrastructure Concerns
July 29, 2024 by Leave a Comment
Couchbase’s recent survey of 500 global IT leaders uncovered that while financial services organizations will increase IT modernization investment by a third (33%) in 2024, they still feel unprepared for growing data demands.
Infographic: Data Never Sleeps: AI Edition
July 29, 2024 by Leave a Comment
Our friends over at Domo (Nasdaq: DOMO) unveiled a special edition of its popular Data Never Sleeps (DNS) infographic, focused on the proliferation of artificial intelligence (AI). An extension of Domo’s award-winning annual DNS report, this AI Edition provides a deeper dive into the immense amount of AI data generated every minute and the impact this brings into our everyday lives.
New KNIME Release Helps Enterprises Scale GenAI While Reducing Risk
July 27, 2024 by Leave a Comment
KNIME, one of the leading open-source data science and AI companies, is announcing a new release to help enterprises securely scale their use of GenAI. The new GenAI features allow organizations to access more AI models, govern which AI models are being used by their data science teams, and ensure no leakage of sensitive data.
Lack of Governance, Infrastructure Readiness, and IT Talent Leading to Enterprise GenAI Struggles: New Report
July 25, 2024 by Leave a Comment
Despite growing interest and enthusiasm for Generative AI (GenAI), significant challenges are emerging that threaten the success of GenAI projects, according to a co-sponsored research report from Enterprise Strategy Group (ESG) and Hitachi Vantara, the data storage, infrastructure, and hybrid cloud management subsidiary of Hitachi, Ltd. (TSE: 6501).
MIT News: How to Assess a General-purpose AI Model’s Reliability Before It’s Deployed
July 24, 2024 by Leave a Comment
Researchers from MIT and the MIT-IBM Watson AI Lab developed a technique to estimate the reliability of foundation models before they are deployed to a specific task. They do this by considering a set of foundation models that are slightly different from one another. Then they use their algorithm to assess the consistency of the representations each model learns about the same test data point. If the representations are consistent, it means the model is reliable.
SandboxAQ Helps Unlock the Next Generation of AI-Driven Chemistry with NVIDIA Technology
July 23, 2024 by Leave a Comment
SandboxAQ announced today a groundbreaking advancement that pushes the limits of computational chemistry, impacting fields such as biopharma, chemicals, materials science and other industries. Collaborating with NVIDIA, SandboxAQ leverages Large Quantitative Models (LQMs) and the NVIDIA CUDA-accelerated Density Matrix Renormalization Group (DMRG) algorithm.
