Defeating Fraudsters at the Finish Line: The Power of AI in Gaming Transactions

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.

AI Expert: More Must Be Done to Protect Data Privacy in the AI Age

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.

Unlock the Full Potential of Your Data 

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.  

Generative AI’s Accuracy Depends on an Enterprise Storage-driven RAG Architecture

[SPONSORED POST] In this sponsored article, Eric Herzog, CMO of Infinidat, suggests that as part of a transformative effort to bring one’s company into the AI-enhanced future, it’s an opportunity to leverage intelligent automation with RAG to create better, more accurate and timely responses. Further, to optimize your storage systems for this enhancement, look for industry-leading performance, 100% availability and cyber storage resilience. They make you RAG-ready. 

AI Has Run Into Data Shortage and Overtraining Problems

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.

Unlocking the Power of Generative AI to Support the Software Development Lifecycle

In this contributed article, Keri Olson, IBM’s Vice President of Product Management, AI for Code, discusses how AI code assistants can help accelerate the software development lifecycle (SDLC), enhance productivity, and improve code quality through generative AI.  

Podcast: The Batch 11/20/2024 Discussion

Hello friends! We hope you enjoy this new podcast featuring Andrew Ng’s “The Batch” newsletter from November 11, 2024 featuring a rousing discussion of the emerging trend of writing text specifically for large language models (LLMs).

70% of Firms Disrupted by AI: New Endava Research

Endava a leading tech services provider, launched its latest research report with IDC titled, “The Next Wave of Digital Transformation in the Era of the AI-Powered Digital Shift.” 

How Real-Time Data Analytics and AI Are Transforming Heavy Equipment Operations

In this contributed article, freelance writer Ellie Gabel discusses how real-time data analysis and AI are refining various aspects of the heavy equipment industry, further promoting seamlessness and automation. Take a look at some of the ways data analytics and AI are transforming the sector.

How AI is Transforming Legal Operations and Revolutionizing Contract Management Efficiency

In this contributed article, Daniela De La Vega Smith, an accomplished legal and compliance professional, discusses how AI-driven contract analysis, workflow automation, and predictive insights are changing the game for legal operations. From optimizing contract reviews with natural language processing to enabling cross-departmental collaboration and proactive risk assessment, Daniela talks about how AI is transforming contract lifecycle management into a more efficient, accurate, and proactive function within organizations.