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.
PickPik, royalty-free, undated Companies for a decade now have been thinking they have to adopt AI, or they’ll get left behind. But most still don’t… Read More »What’s behind the AI adoption and hiring challenge in organizations?
There have been huge improvements in the technological world and the way we work. The real estate market is known for its traditional methods and… Read More »Revolutionizing real estate through technology and project management
Learn practical tips to organize and manage your content library effectively. From content audits to CMS tools, discover strategies for optimizing, updating, and maintaining your content to improve performance and streamline your workflow.
Whether rendering sensitive datasets anonymous with synthetic data or simply facilitating ad-hoc question answering on a corpus of domain-specific knowledge, enterprise applications of AI are… Read More »Infrastructural necessities for building and deploying enterprise-scale AI
How does an entrepreneur know that the products or services of the business are needed at some location? What is the possibility of stretching the… Read More »LLMs, mobile e-commerce: Where-to-sell-AI, for new business marketplaces
Image by Gerd Altmann from Pixabay In September 2024, Salesforce AI Research EVP and Chief Scientist Silvio Savarese posted at the Salesforce 360 site on… Read More »Large action models and the promise of true agency
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
