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.
Data Due Diligence is Critical to Maintaining Compliance and Mitigating Breaches During and After M&As
August 8, 2024 by Leave a Comment
In this contributed article, Fredrik Forslund, Vice President and General Manager of International Sales for Blancco Technology Group, emphasizes the importance of adhering to cybersecurity and data governance best practices prior to an M&A to prevent a data breach and ensure the protection of an organization’s customer and corporate data.
How AI Is Lending a Helping Hand in the Data Security Industry
August 7, 2024 by Leave a Comment
In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, highlights how AI is turning into the trusty sidekick that every cybersecurity hero needs. Let’s dive into how AI is shaking things up and helping keep our digital lives safe and sound.
Regulators Must Keep Pace with Advancement of AI for Fresh and Innovative Healthcare Benefits
August 5, 2024 by Leave a Comment
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 Leave a Comment
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 Leave a Comment
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.
Revolutionizing Manufacturing: The AI Impact
July 31, 2024 by Leave a Comment
In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, discusses how AI is revolutionizing the manufacturing industry. This revolution promises to enhance efficiency, reduce costs, and improve overall product quality. We explore the multifaceted impact of AI on manufacturing and how it is reshaping the industry’s landscape.
Unlocking AI’s Potential: How to Build High-quality Data Foundations
July 29, 2024 by Leave a Comment
In this contributed article, Chris Round, Senior Product Manager at Lakeside Software, suggests that AI’s critical flaw is that it doesn’t know good data from bad – it just knows data. So your AI is only as good as its underlying foundations.
AI in Banking – How Artificial Intelligence is Used in Banks
July 26, 2024 by Leave a Comment
In this contributed article, Ishan Gupta. CEO and Co-founder of RipenApps, discusses how banks have historically been at the forefront of technological advancements, they are renowned for using computers as well as providing internet-based financial services. However, the rise of AI has brought with it a new dawn of innovations. These days, AI is disrupting the entire banking sector in several ways.
Business Leaders Must Prioritize Data Quality to Ensure Lasting AI Implementation
July 24, 2024 by Leave a Comment
In this contributed article, Subbiah Muthiah, CTO of Emerging Technologies at Qualitest, takes a deep dive into how raw data can throw specialized AI into disarray. While raw data has its uses, properly processed data is vital to the success of niche AI. Industries such as medical, legal, and pharma require data that is contextualized, categorized, and verified. Business leaders must master data processing to succeed in an AI-powered world.
