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Are enterprises ready to adopt AI at scale?

CIO

Whether it’s a financial services firm looking to build a personalized virtual assistant or an insurance company in need of ML models capable of identifying potential fraud, artificial intelligence (AI) is primed to transform nearly every industry.

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The Importance of Security and Compliance in Enterprise Applications

OTS Solutions

However, as more organizations rely on these applications, the need for enterprise application security and compliance measures is becoming increasingly important. Breaches in security or compliance can result in legal liabilities, reputation damage, and financial losses.

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10 most used gen AI tools in the enterprise

CIO

ChatGPT ChatGPT, by OpenAI, is a chatbot application built on top of a generative pre-trained transformer (GPT) model. It adheres to the security, compliance, and privacy policies the enterprise already has in place, and is available as an add-on to existing Microsoft licenses.

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Top tech trends powering the Middle East’s digital evolution by 2025

CIO

Adopting multi-cloud and hybrid cloud solutions will enhance flexibility and compliance, deepening partnerships with global providers. Government Services: AI chatbots and virtual assistants will streamline public services, improving citizen engagement and reducing administrative burdens.

Trends 122
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Zoom knots itself a legal tangle over use of customer data for training AI models

TechCrunch

The recent terms & conditions controversy sequence goes like this: A clause added to Zoom’s legalese back in March 2023 grabbed attention on Monday after a post on Hacker News claimed it allowed the company to use customer data to train AI models “with no opt out” Cue outrage on social media.

Training 246
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Obrizum uses AI to build employee training modules out of existing content

TechCrunch

The market for corporate training, which Allied Market Research estimates is worth over $400 billion, has grown substantially in recent years as companies realize the cost savings in upskilling their workers. By creating what Agley calls “knowledge spaces” rather than linear training courses.

Training 195
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Navigating the future of national tech independence with sovereign AI

CIO

There are two main considerations associated with the fundamentals of sovereign AI: 1) Control of the algorithms and the data on the basis of which the AI is trained and developed; and 2) the sovereignty of the infrastructure on which the AI resides and operates.