AI is hungry for data. But while the algorithms get smarter, the supply chain that feeds them – called data marketplaces – is quietly reshaping how we build AI models. In the past, acquiring the right datasets was an arduous process marked by silos, proprietary agreements, and endless data wrangling. Now, with the rise of digital platforms […]
Insurance for AI Liabilities: An Evolving Landscape
Most businesses expect that artificial intelligence (AI) will save money and promote efficiency as it continues to be adopted and implemented across various industries. But what these companies may not expect – and AI cannot predict – are the myriad ways that AI will result in new and increasing potential for liability. From addiction-forming or defamatory chatbots to automated hiring tools with discriminatory impact, AI-driven technologies […]
Mind the Gap: The Many Faces of ChatGPT in the Mirror
One of the most significant areas of data ethics concern is bias in generative AI models. Concerns about algorithmic bias are not new. Associative model (i.e., neural network) bias is not new. Even the ceding of consequential decisions to these models is not new. Just a few examples: AI is used to screen resumes and evaluate […]
Reimagining Data Architecture for Agentic AI
As agentic AI and autonomous systems transform the enterprise landscape, organizations face a new imperative: Fundamentally reimagining data architecture is no longer optional; it’s required for AI success. Many enterprises are coming to the realization that traditional data architectures, which are built for structured data and deterministic workloads, are ill-equipped to support agentic AI’s demands […]
Future-Proofing AI Under a Federal Umbrella: What a 10-Year State Regulation Freeze Means
The federal government’s proposal to impose a 10-year freeze on state-level AI regulation isn’t happening in a vacuum but in direct response to California. The state’s AI Accountability Act (SB 1047) has been making waves for its ambition to hold developers of powerful AI models accountable through mandatory safety testing, public disclosures, and the creation of a new regulatory […]
Why and How to Enhance DevOps with AIOps
AIOps, the practice of enhancing IT and DevOps with help from artificial intelligence and machine learning, is not an especially new idea. It has been nearly a decade since Gartner coined the term in 2016. Yet, the growing sophistication of AI technology is making AIOps much more powerful. Gone are the days when AIOps was mostly a […]
Deploying AI Models in Clinical Workflows: Challenges and Best Practices
The global healthcare AI market is projected to grow from $32.34 billion in 2024 to $431 billion by 2032. It is evident that artificial intelligence (AI) is transforming the healthcare sector, one workflow at a time. Even so, hospitals and clinics struggle to successfully integrate the technology into their workflows, as real-world deployment is fraught […]
Improving Data Quality Using AI and ML
In our fast-paced, interconnected digital world, data is truly the heartbeat of how organizations make decisions. However, the rapid explosion of data in terms of volume, speed, and diversity has brought about significant challenges in keeping that data reliable and high-quality. Relying on traditional manual methods for data governance just doesn’t cut it anymore; in […]
Generative AI Calls for a Master Class in Enterprise Storage
The data that is stored in vector databases is key to the success of generative AI (GenAI) for enterprises in all industries. Up-to-date, private data in company data sources, including unstructured data and structured data, is what is required during AI inferencing to make GenAI models more accurate and relevant. To make the data systematically […]
Mind the Gap: AI-Driven Data and Analytics Disruption
We are at the threshold of the most significant changes in information management, data governance, and analytics since the inventions of the relational database and SQL. Most advances over the past 30 years have been the result of Moore’s Law: faster processing, denser storage, and greater bandwidth. At the core, though, little has changed. The basic […]