In the ever-evolving landscape of technology, two forces have emerged as indispensable catalysts for innovation: external data and artificial intelligence (AI). These two pillars of modern computing not only complement each other but also synergize in ways that redefine industries, drive efficiency and unlock new possibilities. From personalized recommendations to predictive analytics, the collaboration between external data and AI is reshaping how businesses operate, how researchers explore and how society functions at large. Harvard Business Review brought this topic to our attention in their article, “External Data and AI Are Making Each Other More Valuable.”

External data, ranging from customer demographics to weather patterns and market trends, provides a wealth of information that organizations can leverage to gain insights, make informed decisions and stay ahead of the competition. However, the sheer volume and complexity of external data present a formidable challenge for manual analysis and interpretation. This is where AI steps in, with its ability to process vast datasets at lightning speed, uncover patterns and generate actionable insights.

By leveraging external data sources and AI technologies in concert, businesses can unlock new opportunities, optimize processes and deliver value to customers. As we continue to navigate the digital age, the fusion of external data and AI will remain a driving force behind transformative change across industries, driving progress and shaping the trajectory of human endeavor.

At the end of the day, content needs to be findable, and that happens with a strong, standards-based taxonomyData Harmony is our patented, award winning, AI suite that leverages explainable AI for efficient, innovative and precise semantic discovery of your new and emerging concepts, to help you find the information you need when you need it.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, changing search to found.