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Top Automation Programming Languages of 2021

DZone

In today’s highly competitive world, software development and automation play a significant role in creating robust software applications for businesses. Additionally, emerging technologies like artificial intelligence and blockchain have given a competitive edge to enterprises. Introduction.

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Fueling the next wave of IT operations: Modernization with generative AI

Dynatrace

Artificial intelligence, including more recent advances in generative AI , is becoming increasingly important as organizations look to modernize how IT operates. Organizations are turning to AI to automate manual tasks and see immediate benefits in IT operations, cybersecurity, and application development or DevOps.

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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

Moreover, in addition to managing cloud spend and resource utilization, organizations must also now consider the cost and carbon impact of developing and using generative AI models. However, security remains a concern despite benefits such as faster development and improved productivity. What is generative AI?

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Application vulnerabilities: Important lessons from the OWASP top 10 about application security risks

Dynatrace

Application vulnerabilities are an inevitable byproduct of the growth of agile development techniques and can be tricky to spot and address. While these vulnerabilities aren’t anything new, the modular and distributed nature of modern software development introduces a new potential for application security risks.

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AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Adding to the complexity are containers–tools for cloud development—which can be ephemeral. Dynatrace is making the value of AI real.

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To understand the risks posed by AI, follow the money

O'Reilly

Given that our leading scientists and technologists are usually so mistaken about technological evolution, what chance do our policymakers have of effectively regulating the emerging technological risks from artificial intelligence (AI)? The internet protocols helped keep the internet open instead of closed.

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AI Has an Uber Problem

O'Reilly

They used their funding to do serious research and development, to build factories, cars, batteries, rockets and satellites. In the case of artificial intelligence, training large models is indeed expensive, requiring large capital investments. Tesla and SpaceX are good examples. This has led to lawsuits and settlements.