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Tech Transforms podcast: A reporter’s take on AI, data privacy, ChatGPT, and TikTok

Dynatrace

Nihal Krishan’s work as a technology reporter at FedScoop places him at the nexus of politics, policymaking, and technology. As a result, he has access to a variety of insights and opinions on new and emerging technologies. government’s AI spending, which has more than doubled since 2017. AI’s environmental impact.

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Why growing AI adoption requires an AI observability strategy

Dynatrace

As organizations turn to artificial intelligence for operational efficiency and product innovation in multicloud environments, they have to balance the benefits with skyrocketing costs associated with AI. Use generative AI in conjunction with other technologies. Growing AI adoption has ushered in a new reality.

Strategy 226
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To understand the risks posed by AI, follow the money

O'Reilly

It’s difficult to argue with David Collingridge’s influential thesis that attempting to predict the risks posed by new technologies is a fool’s errand. We ought to heed Collingridge’s warning that technology evolves in uncertain ways. It’s also about ensuring that value from AI is widely shared by preventing premature consolidation.

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AI’s ‘SolarWinds Moment’ Will Occur; It’s Just a Matter of When

O'Reilly

Cybersecurity itself was considered an esoteric backroom technology problem until we learned of the Equifax breach, the Colonial Pipeline ransomware attack, Log4j vulnerability, and the massive SolarWinds hack. The Center for Applied Artificial Intelligence at the University of Chicago Booth School of Business , ?

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Web Development Trends in 2023

KeyCDN

Artificial intelligence and machine learning Artificial intelligence (AI) and machine learning (ML) are becoming more prevalent in web development, with many companies and developers looking to integrate these technologies into their websites and web applications. Source: web.dev 2.

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Advancing Application Performance with NVMe Storage, Part 1

DZone

With big data on the rise and data algorithms advancing, the ways in which technology has been applied to real-world challenges have grown more automated and autonomous. This has given rise to a completely new set of computing workloads for Machine Learning which drives Artificial Intelligence applications.

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What is APM?

Dynatrace

Every day we access applications to shop online, stream TV shows, connect to social media, manage finances, and work. Application Performance Monitoring and the technologies and use cases it covers, has expanded rapidly. Performance monitoring. Application monitoring. Application performance. Why is APM so important?