Successful CIOs, CTOs & executives from Forbes Technology Council offer firsthand insights on tech & business.
It’s often said that knowledge is power, and that’s never been more true for businesses than in today’s digital age. Technology tools enable businesses to collect a wealth of information from customers, and each of those data points is a valuable asset. Getting the biggest ROI from that data, however, requires strategic, updated data management strategies.
One technology reshaping data management is private large language models. If an LLM is synced to a structured data repository, the quality of the data can be managed, and the LLM will be able to search and contextualize the data much, much faster than a human. And a private LLM can also augment the structured data with invaluable special knowledge captured from worker-to-worker conversations and engagement.
An exciting shift in data management revolves around decentralized ledger technology. This approach ensures data integrity and security through transparent, tamper-proof records. Its effectiveness lies in fostering trust and streamlining workflows, bringing a new level of authenticity to data management practices across industries. -
Data fabric is an innovative approach to data management that provides a holistic view of an organization’s data across many locations, including on-premises centers, cloud platforms and devices. By integrating this data into a cohesive framework and leveraging AI and ML to automate discovery and integration, data fabric enables organizations to improve data accessibility, security and governance.
Data products are reshaping data management by turning raw data into a structured, consumable format that adds value beyond its original state. Their effectiveness lies in enabling organizations to monetize, share and utilize data more strategically, transforming raw data into a valuable asset for decision-making, innovation and customer engagement. -
Hydrating data into systems of record from an orchestration layer that unifies a company’s ecosystems in real time is critical, but it’s often overlooked. With this free flow of information, companies gain more expansive AI insights and service governance oversight, minimizing operational, reputational and regulatory risks. -
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