In this contributed article, Zach Nass, Head of Gaming and Prepaid at nSure.ai, discusses how the gaming industry can tackle payment fraud using advanced AI solutions.
Defeating Fraudsters at the Finish Line: The Power of AI in Gaming Transactions
December 20, 2024 by
AI in Construction: Tackling Fragmented Data with Intelligent Solutions
December 16, 2024 by
In this contributed article, Omar Zhandarbekuly, co-founder at Surfaice.pro, explores how AI —particularly knowledge graphs, generative AI, and agentic AI—can bridge these gaps, transforming construction processes into streamlined, intelligent standalone systems.
AI Expert: More Must Be Done to Protect Data Privacy in the AI Age
December 16, 2024 by
In this contributed article, Chris Stephenson, Managing Director of Intelligent Automation, AI & Digital Services at alliant, discusses why more must be done to protect data privacy in the AI age. LinkedIn’s covert data grab is just one example of how the data scarcity problem is prompting AI companies to get creative at the expense of consumer privacy.
How Generative AI Can Transform the Future of Identity and Access Management
December 13, 2024 by
In this contributed article, Anirban Bhattacharya dives into how generative AI addresses persistent challenges like proper role definition, inefficient access reviews, and the limitations of static authentication methods. From AI-driven threat detection to delivering seamless, personalized user experiences, this article outlines the innovative ways generative AI is shaping the future of IAM.
Challenging the Cloud-Only Path to AI Innovation: A Critical Look at Vendor-Led AI Roadmaps
December 12, 2024 by
In this contributed article, Saulo Bomfim, Vice President, Product and Service Strategy at Rimini Street, suggests that as major enterprise software vendors limit their AI offerings to cloud-only platforms, organizations face mounting pressure to migrate—but instead of jumping into costly cloud transitions, IT leaders should first be aware of these four key challenges that could impact their AI transformation journey, and a viable solution to combat them all.
AI’s Impact on Data Centers: Driving Energy Efficiency and Sustainable Innovation
December 11, 2024 by
In this contributed article, Joe Reele, Vice President, Solution Architects at Schneider Electric, discusses the challenges and innovations in data center design driven by AI advancements and discusses the implications for energy consumption, infrastructure, and technological evolution.
Unlock the Full Potential of Your Data
December 10, 2024 by
In this contributed article, John Mark Suhy, CTO of Greystones Group, discusses how a comprehensive data catalog with robust access control, complemented by expert insights, is essential for secure and effective AI-driven data management. By prioritizing these elements, organizations can empower AI systems to generate precise insights, automate reporting, and recommend data confidently.
Why Trust is the Foundation of AI Content Production
December 6, 2024 by
In this contributed article, Joshua Ray, founder and CEO of Blackwire Labs, discusses how AI is ushering in a new era of productivity and innovation, but it’s no secret that there are urgent issues with the reliability of systems such as LLMs and other forms of AI-enabled content production. From ubiquitous LLM hallucinations to the lack of transparency around how “black box” machine learning algorithms make predictions and decisions, there are fundamental problems with some of the most widely used AI applications. This hinders AI adoption and generates resistance to the technology.
AI Beyond LLMs: How LQMs Are Unlocking the Next Wave of AI Breakthroughs
December 5, 2024 by
In this contributed article, Dr. Stefan Leichenauer, Vice President of Engineering and lead scientist at SandboxAQ, discusses the profound evolution that is now emerging: Large Quantitative Models (LQMs), designed to tackle complex real-world problems in areas such as healthcare, climate science, and materials design, are set to revolutionize industries and unlock new AI-powered breakthroughs for some of the world’s greatest challenges.
AI Has Run Into Data Shortage and Overtraining Problems
December 3, 2024 by
In this contributed article, Jason Hardy, Chief Technology Officer for Artificial Intelligence for Hitachi Vantara, explores how the growing demand for training data is testing the limits of AI development and triggering challenges like overtraining, which can lead to regression or biased outcomes.
