In this contributed article, Shobhit Khandelwal, CEO and founder of Carter, points out that as competition grows in the retail media space, brands and retailers feel pressured to meet consumer needs. The opportunity to provide unique advertising experiences to consumers increases as AI develops. These rapid developments in AI put us on the precipice of a great revolution in the retail media landscape.
Shining a Light on Dark Data: The Path to Responsible AI Integration
August 30, 2024 by
In this contributed article, Soniya Bopache, vice president and general manager, data compliance and governance at Veritas Technologies, discusses how integrating AI into business operations requires addressing the challenge of dark data—unstructured and unused information that can lead to biased or compromised AI outputs. Organizations must prioritize comprehensive data management and governance to ensure AI systems are powered by high-quality data, meeting both operational goals and regulatory compliance.
How Artificial Intelligence is Revolutionizing Automotive Retailing
August 30, 2024 by
In this contributed article, Devin Daly, CEO and Co-Founder of Impel, discusses five of the most impactful ways that AI is improving the automotive retailing experience.
How AI Enhances Government Payment Processes – Survey Reveals Critical Inefficiencies
August 23, 2024 by
In this contributed article, Niko Spyridonos, CEO and Founder of Autoagent Data Solutions, discusses local governments and their use of AI and automation technologies. Niko is a strong proponent of such systems and he has some government survey data that shows we need to move deeper in this area.
It Takes More than Prompt Engineering to Achieve GenAI Accuracy
August 19, 2024 by
In this contributed article, Liran Hason, Co-Founder and CEO of Aporia, addresses the limitations of prompt engineering, outlining his argument for more comprehensive protection – namely, the implementation of guardrails between the LLM and end-user – to keep AI accurate while preventing unwanted behavior.
Synthetic Data Solves AI’s Biggest Problem
August 13, 2024 by
In this contributed article, Kalyan Veeramachaneni, co-founder and CEO of DataCebo, discusses how synthetic data is a useful application of AI technology that is already delivering real, tangible value to customers. More than mere fake data, synthetic data supports data-driven business systems throughout their lifecycle, particularly where ongoing access to production data is impractical or ill-advised.
Regulators Must Keep Pace with Advancement of AI for Fresh and Innovative Healthcare Benefits
August 5, 2024 by
In this contributed article, Elaine Gemmell, Head of Regulatory Affairs at InnoScot Health, discusses regulators needing to keep pace with advancement of artificial intelligence for fresh and innovative healthcare benefits.
AI’s Role in Harmonizing Energy Supply With Consumer Demand
August 3, 2024 by
In this contributed article, freelance writer Ellie Gabel discusses how the power grid is aging and can no longer keep up with consumers’ needs. Without adequate intervention, blackouts will soon become a regular occurrence. Could artificial intelligence be the key to fixing the country’s supply and demand woes?
Transforming AI’s Memory Constraints: The Evolution with CXL Technology
August 2, 2024 by
In this contributed article, Jianping (JP) Jiang, VP of Business, Operation and Product at Xconn Technologies, discusses how the integration of CXL technology is a pivotal moment in overcoming the memory barriers faced by AI and HPC applications. By significantly enhancing memory bandwidth, capacity, and interoperability, CXL not only optimizes current workloads but also sets the stage for future advancements.
New Flexential Survey Unveils AI Infrastructure Challenges and Investment Priorities
August 2, 2024 by
Flexential, a leading provider of secure and flexible data center solutions, released its 2024 State of AI Infrastructure Report, a new survey on AI infrastructure investments and challenges. As organizations across nearly all industries plan ambitious roadmaps for AI adoption, Flexential’s report highlights crucial areas where IT leaders must evolve their current infrastructure to meet the growing demand of high-density AI workloads and latency-sensitive AI applications.
