New IDC Survey: 75% Expect to Gain Value from AI Decision Making

IDC estimates that organizations worldwide will spend $290 billion on data management, analytics, and AI technology – but is there enough return on the investment? In this feature article we share findings from a new IDC survey looking at the ROI in AI-powered decision making –- known in the market as decision intelligence. IDC contrasts leaders operationalizing and gaining outcomes through better, faster decisions, and challenges that exist. Enterprises already tapping decision intelligence are improving business metrics up to 20%. The survey also found 75% expect to gain significant benefits through future decision intelligence initiatives.

C-Suite Predicts 2024 to be Watershed Year for Financial Impact of Generative AI in Icertis Survey

Icertis, the contract intelligence company that pushes the boundaries of what’s possible with contract lifecycle management (CLM), released its inaugural AI impact report titled The Future of Generative AI: C-Suite Perspectives for 2024 and Beyond. 500 senior executives at businesses across the U.S. and U.K. shared their perspectives on how AI will transform the workforce, data privacy, the competitive landscape, and more.

Survey: Generative AI Shaking Up Digital Health Investors’ Funding Strategies and Industry Outlooks

Digital health investors say generative AI, oncology care and the challenges posed by clinician shortages are transforming their startup funding strategies and investment outlooks for the healthcare industry, according to the results of an online survey from GSR Ventures. Startup company valuation expectations among backers, however, are significantly lower than in 2022.

2023 ML Pulse Report: The Latest Trends and Challenges in Machine Learning

Our friends over at Sama recently published a comprehensive report on the potential and challenges of AI as reported by Machine Learning professionals.

New Study Reveals Organizations Embrace Generative AI and Human-in-the-Loop Automation Amidst Rising Costs and Frequency of Service Incidents

Transposit, the AI-powered incident management company, today announced results from its third annual State of DevOps Automation and AI research study about the intricate challenges faced by organizations in managing incidents effectively.

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.

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.

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.