Data Lifecycle Management focuses on data governance, data cleansing and quality, and data stewardship. The rubric applies to articles that focus primarily on the high-level preparation, flow, and use of data through an organization, rather than with one single facet such as storage or analysis.
The Retrieval Augmented Generation (RAG) paradigm has popularized the notion of supplementing prompts for GenAI models with trusted enterprise data. Many organizations utilize this practice… Read More »Revamping prompt augmentation: Multi-agent architecture and LangGraph
Explore the benefits of implementing Generative AI on Power Platform including faster development, optimized automation, smarter decision-making, and more.
Interview with Vincent Koc, MIT Program Mentor Introduction: Bridging AI and Enterprise On this episode of the AI Think Tank podcast, I had the pleasure… Read More »Critical Decision Making for Enterprise AI
By Saurabh Abhyankar, EVP and chief product officer, MicroStrategy In today’s rapidly evolving business landscape, organizations find themselves caught between two seemingly conflicting goals: the… Read More »Balancing act: Enabling reliable GenAI in the face of data silos
AI is revolutionizing the world by leaps and bounds, transforming how businesses can benefit from it across different domains. New trends emerge and expand the… Read More »How can ‘Adaptive AI’ transform businesses?
Andrew Holloway on Pixabay The vast majority of companies have been addicted for many years to software-as-a-service applications. Month after month, organizations worldwide pay tens… Read More »A 12-step FAIR data fabric program for recovering application addicts
In 2024, artificial intelligence (AI) moved from hype to a legitimate priority for organizations, governments, and individuals across the globe. Its rapid implementation yields transformational… Read More »2024 AI trends: From hype to essential
A machine learning (ML) data catalog is a system that leverages machine learning and metadata to automate data management processes. It minimizes manual effort and… Read More »Machine learning data catalogs for business management
Introduction The cyber kill chain is a process by which malicious actors carry out cyber attacks. With the development in AI and language models, the… Read More »The AI-powered SPAM Factory: Understanding the Cyber Kill Chain and its implications
Increasing competition and other challenges have made the business landscape more complicated than ever. Modern enterprises rely on ERP (Enterprise Resource Planning) software to address… Read More »Top ways Artificial Intelligence impacts ERP software in enterprises
