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Generative AI: 5 enterprise predictions for AI and security — for 2023, 2024, and beyond

CIO

From IT, to finance, marketing, engineering, and more, AI advances are causing enterprises to re-evaluate their traditional approaches to unlock the transformative potential of AI. Indeed, since June 2023, the finance sector has experienced continuous growth in these areas. In general, they fall into two buckets: 1.

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3 Top Email Security Practices to Prevent a Data Breach

Smart Data Collective

As most enterprises use email as their primary medium to pass on information, implementing a robust email security plan is not an option but a necessity. If you are concerned about the cyber safety of your data-driven enterprise , use the below-listed best practices for email security in 2021. Why do you need an email security plan?

Security 362
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Tencent Cloud partners with S.M.A.R.T Entrepreneurship Club to build smart businesses with AI Digital Human solution

CIO

It also assists brands in building differentiated intellectual property (IP) and making products more appealing. It is our constant mission to meet the needs of industries across the board, including the fields of gaming, media and entertainment, finance, healthcare, property, retail, travel, and transportation.

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When your AI chatbots mess up

CIO

“Chatbots are almost like a living organism in that they are continually iterating, and as they ingest new data,” says Steven Smith, chief security architect at Freshworks. For engineers, AI-generated code used in software development may contain security vulnerabilities or intellectual property ingested during training.

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3 things to get right with data management for gen AI projects

CIO

And quality is relative to the context of the domain you’re in, so an accurate response for finance, for example, may be completely wrong for healthcare. “As Prioritize data privacy and protecting IP Third is data privacy and protection of intellectual property (IP). We’re very thoughtful about IP,” she says.

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CIOs grapple with the ethics of implementing AI

CIO

Christoph Wollersheim, a member of the services and artificial intelligence practices group at global consulting firm Egon Zehnder, pinpoints five critical areas most organizations need to address when implementing AI: accuracy, bias, security, transparency, and societal responsibility.

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Big Data Offers New Solutions for Disaster Mitigation Planning

Smart Data Collective

Marketing and finance are two of the functions that are most dependent on big data. Big data helps organizations determine the likelihood that they will be the target of a security breach. Organizations are using big data to solve many of their most pressing challenges.