When you purchase through links on our site, we may earn an affiliate commission.Heres how it works.
Senior Partner and Global Lead for AI & Data at Kearney.
Thanks to this advancement, businesses can now access this richer resource of data and finally unlock its value.
What are the current issues with unstructured data?
Organizations can now tap into a wealth of rich information that was previously inaccessible.
However, this is still not without its challenges.
With unstructured data, there tends to be much more irrelevant noise.
Additionally, the lack of regulation when it comes to the creation of unstructured data can impact its usefulness.
Being able to effectively utilize unstructured data typically involves incorporating it into an organization’s existing data framework.
A comprehensive understanding of the datas properties, connections, and possible uses is necessary for this integration.
Many organizations still struggle to leverage these existing data assets to generate business value.
What is expected next for the GenAI movement?
In the future, we should expect human involvement in data sourcing and interpreting to decrease.
Organizations can now devote greater resources to utilizing data rather than preparing it.
It has been known for some time that generative AI has the potential to revolutionize the way organizations operate.
However, implementing it effectively into organizations will still mean navigating its weaknesses before maximum capabilities can be achieved.
Organizations are yet to fully embrace AI-friendly data acquisition and integration.
Those that adapt can maximize investment value and change their fortunes for the better.
We’ve featured the best AI chatbot for business.
The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
If you are interested in contributing find out more here:https://www.techradar.com/news/submit-your-story-to-techradar-pro
