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

CIO

According to Kari Briski, VP of AI models, software, and services at Nvidia, successfully implementing gen AI hinges on effective data management and evaluating how different models work together to serve a specific use case. Data management, when done poorly, results in both diminished returns and extra costs.

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Why your business is never too small for an AI factory

CIO

With Dell Technologies Data Management Services , SMBs can deploy data management practices that drive rapid, agile development of AI systems—and allow them to achieve their data-driven goals. Tailor AI to unique data and needs : AI need not be costly, as SMBs can maximize profitability with Validated Designs from Dell.

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How to kick-start your generative AI strategy

CIO

So says Andrew McAfee, principal research scientist at the MIT Sloan School of Management. Among their biggest concerns: exposing intellectual property through publicly available generative AI models, revealing the personal data of users to third-party vendors or service providers, and securing the AI itself from criminal hackers.

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How to get the most out of IT consultants

CIO

In one project, Sonty engaged a consultancy firm specializing in education technology to implement a learning management system tailored to the college’s unique needs, resulting in improved student engagement and retention rates. Organizations can use project management tools to track progress, manage tasks, and ensure accountability.

IT 461
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Chief AI officers in demand as IT leaders expect gen AI productivity boost, survey finds

CIO

Where it’s showing up most often — and also where buyers say they think it will deliver the most benefit — is in productivity and collaboration tools such as the M365 Copilot Microsoft will release in November, and marketing/sales software such as Salesforce’s Einstein Copilot.

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

CIO

The release of intellectual property and non-public information Generative AI tools can make it easy for well-meaning users to leak sensitive and confidential data. Or a sales team member inputs the prompt, “Can you create sales trends based on the following Q2 pipeline data?” In general, they fall into two buckets: 1.

Security 501
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10 ways to prevent shadow AI disaster

CIO

No longer just a SaaS app handling some worker’s niche need or a few personal BlackBerries snuck in by sales to access work files on the go, shadow IT today is more likely to involve AI, as employees test out all sorts of AI tools without the knowledge or blessing of IT. Like all technology-related things, shadow IT has evolved.