Two forces have become essential drivers of innovation: external data and artificial intelligence (AI). These pillars of modern computing not only complement each other but also work together in ways that transform industries, enhance efficiency and unlock new possibilities. From personalized recommendations to predictive analytics, the synergy between external data and AI is revolutionizing business operations, research methodologies and societal functions. Harvard Business Review brought this topic to our attention in their article, “External Data and AI Are Making Each Other More Valuable.”
External data, encompassing everything from customer demographics to weather patterns and market trends, offers a vast reservoir of information that organizations can use to gain insights, make informed decisions and stay competitive. However, the sheer volume and complexity of this data make manual analysis and interpretation a daunting task. AI addresses this challenge with its capability to process massive datasets rapidly, identify patterns and generate actionable insights.
By integrating external data sources with AI technologies, businesses can discover new opportunities, optimize processes and deliver greater value to customers. As we continue to advance in the digital age, the combination of external data and AI will remain a key force behind transformative changes across industries, driving progress and shaping the future of human endeavors.
Ultimately, ensuring that content is easily accessible is crucial, and this is achieved through a robust, standards-based taxonomy. Data Harmony, our patented, award-winning AI suite, utilizes explainable AI to facilitate efficient, innovative and precise semantic discovery of emerging concepts, helping 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. |
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Sponsored by Access Innovations, changing search to found.
