Shelf Blog: AI Education
Get weekly updates on best practices, trends, and news surrounding knowledge management, AI and customer service innovation.
The future of AI in the enterprise won’t be built on monolithic models—it will be orchestrated by systems of specialized agents working together like a digital workforce. That’s the central thesis behind the rapid rise of multi-agent systems, and it was a defining theme of the Shelf webinar, “AI...
Why Good Data is the Secret Ingredient for AI Success The Real Cost of Bad Data in AI AI performance metrics often look straightforward: systems should respond within 3 seconds, successfully complete 85% of tasks, and keep error rates below 5%. But these numbers lose all meaning if the AI is...
Prevent Agent Failure Before It Happens. In today’s data-driven world, AI agents are crucial for maintaining a competitive edge. However, many organizations are unknowingly undermining their AI’s potential due to poor data quality. This article addresses the critical issues of data...
Your New MVP for Productivity and Profit The introduction of AI agents into the business landscape in 2025 marks a new era of transformative growth for organizations. Unlike traditional AI models that rely on human prompts, AI agents enhance speed, scale productivity, and reduce human...
Artificial intelligence (AI) is transforming the way businesses operate across various industries, but the question remains: What jobs will AI replace? Where will AI provide new opportunities and challenges? Which industries will experience the most disruption? In this comprehensive discussion,...
ChatGPT and other generative AI platforms are transforming how we access information, answer questions, and even create and interpret art. But there are limitations when it comes to performing more complex tasks like planning an event, or chaining multiple steps together like conducting buyer...
AI for predictive analytics represents a cutting-edge approach to forecasting future trends and making data-driven decisions with precision. By integrating AI, you can uncover deep insights, identify emerging opportunities, and mitigate potential risks in real-time. In this article, you’ll...
Over 50% of organizations have paused their Copilot initiatives. Why? Because of data quality and data governance concerns. Generative AI is powerful, but when you feed it bad data, it generates bad responses. “Garbage in, garbage out,” as we say. Inaccurate or irrelevant responses hurt user...
Getting your SharePoint data AI-ready isn’t just about flipping a switch. It’s about taking a closer look at the data you already have and setting it up for success. Whether you’re aiming to streamline workflows, unlock actionable insights, boost the user experience, or simply make better use of...
Data is classified into two main types: structured and unstructured. Structured data refers to organized information that follows a predefined format and resides in fixed fields within a record or file. Structured data is easily searchable, organized, and can be stored in databases. Unstructured...
Businesses have long been increasingly inundated with an unprecedented volume of data. The challenge now is not just about storing ample data but managing, classifying, and transforming this structured and unstructured data into fuel for the engine of business. The critical role of data...
A knowledge graph is a structure that connects diverse pieces of information, helping you uncover relationships and insights that might not be immediately apparent. In some cases, you need to bridge two types of data together: structured and unstructured data. In this article, we provide a clear,...