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
Crusoe Closes $600M in Series D Round at $2.8 Billion Valuation to Power AI
December 18, 2024 by
Crusoe, the vertically integrated AI infrastructure provider, announced it has closed a $600 million Series D funding round. The investment was led by Founders Fund, with participation from new and existing investors, including Fidelity, Long Journey Ventures, Mubadala, NVIDIA, Ribbit Capital, and Valor Equity Partners. Through its innovative approach, Crusoe has established itself as a […]
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.
SurrealDB Launches Surreal Cloud, a Fully Managed Database Service That Tackles the Complexity Issues Faced by Developer Teams
December 7, 2024 by
SurrealDB, the ultimate multi-model database, announced the launch of Surreal Cloud, a Database-as-a-Service (DBaaS) offering. In its first iteration, enterprises now have access to a fully managed solution for developers that want to leverage the power and flexibility of SurrealDB without the complexities of managing infrastructure.
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.
