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The Foundation of Digital Transformation
Digital transformation is often associated with new technologies, artificial intelligence (AI) and modern applications. However, technology alone does not create transformation. The real foundation of digital transformation is understanding your data and using analytics to turn information into meaningful insights. This important topic came to us from CU Insight in their article, “Demystifying data: Beginning…
Read MoreLocation, Location, Location
Organizations spend significant time discussing how much data they have and what they can do with it. Far less attention is given to an equally important question: Where does the data live? The AI Journal brought this important topic to us in their article, “Why where your data lives matters just as much as what…
Read MoreMoving Beyond Data to Understanding Connections
Artificial intelligence (AI) has traditionally focused on analyzing individual pieces of data like documents, records, transactions, images, etc. Relational AI represents the next progression by emphasizing something equally important: the relationships between those pieces of information. Business Insider brought us this important topic in their article, “RelationalAI Recognized as One to Watch in Snowflake’s Modern…
Read MoreAI and Investing: Opportunity, Speed and New Risks
Artificial intelligence (AI) is transforming the world of investing. From analyzing market trends and identifying trading opportunities to assessing risk and detecting fraud, AI enables investors to process vast amounts of information faster than ever before. This important subject was shared with us by T.RowePrice in their article, “AI in the investment process.” Traditional investment…
Read MoreAI Works Best on Its Own Terms
Artificial intelligence (AI) has become a powerful tool for organizations seeking insights, efficiency and competitive advantage. However, many AI initiatives struggle not because the technology is flawed, but because organizations expect AI to work with data that was never designed for intelligent systems. This interesting and important topic came to us from CDO Trends in…
Read MorePreparing Data for AI: The Difference Between Retrieval and Understanding
Artificial intelligence (AI) is only as effective as the data it can access and interpret. While organizations are rushing to deploy AI tools, many overlook a critical reality: feeding large volumes of information into an AI system does not automatically make that information useful. CIO brought this topic to us in their article, “7 signs…
Read MoreEmerging Technology and the Future of Aging Healthcare
As populations around the world continue to age, healthcare systems are turning to emerging technologies to help older adults live longer, healthier,and more independent lives. From artificial intelligence (AI) to wearable devices, technology is transforming how care is delivered and monitored. This interesting topic came to us from Frontiers and their article, “The Use of…
Read MoreA Global Race for Innovation and Regulation
Artificial intelligence (AI) is transforming biotech at an unprecedented pace, helping researchers accelerate drug discovery, improve genetic analysis and develop personalized treatments. As AI becomes increasingly integrated into biotech, countries around the world are taking different approaches to encourage innovation while addressing ethical, security and regulatory concerns. This interesting topic came to us from the…
Read MoreMetadata: The Hidden Ingredient Behind Successful LLMs
Large language models (LLMs) have transformed how organizations search, analyze and generate information. Yet many organizations overlook one of the most important factors influencing artificial intelligence (AI) performance: metadata. This timely and important topic came to us from IT Brew and their article, “Managing metadata is essential in LLM world.” Metadata’s value extends far beyond…
Read MoreArtificial Intelligence vs. Artificial Wisdom: What Mental Health Needs Most
Artificial intelligence (AI) is rapidly becoming one of the most influential technologies of our time. It can analyze data, identify patterns, generate content, answer questions and perform tasks once thought to require human expertise. Yet as AI grows more capable, an important question emerges: Is intelligence enough? This timely and important topic came to us…
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