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Altogether this is one of the most transformative changes to how people work that weve seen in decades.
The importance of embedded teams
This is something we understand at Synechron.
Senior Director & Co-Head of Artificial Intelligence, at Synechron.
Companies need to establish what information is reliable.
This means we have to educateemployeeson the differences between secure internal datasets and open internet sources.
From a security andprivacypoint of view, there are valid concerns about using generative AI tools at work.
As with the adoption ofcloud services, we must ensure data remains secure in transit and at rest.
Looking ahead, the integration of AI intooperating systemsandproductivity toolswill likely exacerbate these challenges.
Compliance departments must compare and then align these technology features with regulatory requirements around reporting and data collection.
Transparency builds trust
Ultimately, AI model transparency is crucial for building trust and adoption.
Users deserve clear information on how their data gets handled and processed and opt-in/opt-out choices.
Privacy needs to be a core design principle from day one, not an afterthought.
Finally, organizations need to have performance check-ins just as they would with any human employee.
Its easy to forget that simply integrating AI across a company is not, in itself, actually valuable.
These tools are already essential
We believe that these are tools are vital.
They will be a part of almost everyones lives in the near future.
We list the best online cybersecurity courses.
The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
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