AI Companies and Applications have a lot to Prove in 2024

In this contributed article, Saad Siddiqui, General Partner at Telstra Ventures, indicates that while there are plenty of risks for VCs in AI right now, they’re overwhelmingly outweighed by the potential benefits. As AI adoption continues to gain momentum, the task in 2024 will be making strategic investments in companies and applications capable of maximizing the value of the most revolutionary technology in the world.

Big Tech is Likely to Set AI Policy in the U.S. We Can’t Let That Happen

In this contributed article, Dr. Anna Becker, CEO and cofounder of Endotech.io, discusses explains why President Biden’s recent executive order and approach to regulating Artificial Intelligence puts American innovation at risk, by likely favoring the views and interests of large established tech companies rather than startups.

New OneStream Research Finds 80% of Financial Decision-Makers Believe AI Will Increase Productivity

OneStream, a leader in corporate performance management (CPM) solutions for advancing financial close, consolidation, reporting, planning and forecasting, announced the results of its global “AI-Driven Finance“ survey, revealing the majority (80%) of financial decision-makers believe AI will increase productivity in the office of finance.

The Future of Applied AI in 2024: Transforming Healthcare, Energy, and Supply Chain with Tangible Outcomes

In this contribute article, Nick King, CEO and Founder of Data Kinetic, believes that 2024 holds great promise for Applied AI as it integrates into various sectors, transforming manufacturing, healthcare, energy, and beyond. However, as we move forward in this AI-driven future, addressing concerns such as misleading marketing, complex interactions, the need for guardrails and transparency, and the importance of meaningful AI education is crucial.

What Can the Sports Betting Industry Teach About Building Predictive Models?

In this contributed article, Dr. Darryl Woodford PhD, CTO at Cipher Sports, shares his insights about the key features of a good sports betting prediction model. We’ve already seen how fast and accurate these models can be. In the wagering industry, the next frontier is to apply these recent advancements to in-play and micro-betting markets, requiring another step forward in both data processing and data acquisition.

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.

Life is Fleeting, But Data is Forever – Meet your Digital Twin

[SPONSORED POST] With the transformation of medicine from analog to digital, plus the rise of new data-generating devices for health tracking and genomic information, we can look forward to a new world in which virtually every aspect of a patient’s medical history can be communicated, stored, and manipulated. For each patient, this huge body of data represents a sort of digital twin, a treasure trove of useful medical information and insights that could become invaluable in developing patient treatments in the future.

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.

IBM Launches $500 Million Enterprise AI Venture Fund

IBM (NYSE: IBM) today announced that it is launching a $500 million venture fund to invest in a range of AI companies – from early-stage to hyper-growth startups – focused on accelerating generative AI technology and research for the enterprise.

The Government Needs Fast Data: Why is the Federal Reserve Making World-altering Decisions on Stale Data? 

In this contributed article, Alex Izydorczyk, founder and CEO of Cybersyn, discusses an important question: Should there ever be “very big surprises” (or any surprises, for that matter) in the data on which the Federal Reserve bases decisions on?