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Top Trends in AI for Federal Government

AI is emerging as an important tool for meeting the mission at federal government agencies. It can add efficiency and aid decision-making by: Many government agencies are already using AI processes. Below are some important use cases for AI in federal government: And that’s just a small sample of the ways federal agencies are using AI. Thousands more use cases have been identified related to national security, healthcare, transportation, and more.

Throttling a Kafka Queue in Node.js

Coming from an HTTP-only background, message queues look very fascinating. Unlike HTTP, you can just push events to the queue and move on. After all, they're a big part of what makes async communication possible between microservices. In this article, we'll take a look at Apache Kafka and how you can build a durable throttling layer with it. Let's get started!

A New Kind of Hybrid Cloud, Built for Partner Simplicity

In light of tightening budgets, rising costs, and heightened demand for compliance and innovation, there’s no doubt that many companies are increasingly relying on hybrid cloud environments to modernize their current infrastructure and IT operations. But, according to a recent survey, nearly half of businesses are struggling due to the rapid integration of cloud technologies, the complexity of integration processes, a lack of skilled personnel, and the need for comprehensive cybersecurity measures.

Best 5 Web Development Courses for Students

The world of Internet professions opens up wide opportunities for self-realization and financial independence. Web development specialists are in great demand in the labor market, both as full-time employees and as freelancers. Anyone who has undergone quality training can become a qualified specialist. We have gathered the best five web development courses where the best teachers teach students.

GenAI for Financial Services - MLOps Live #25 with McKinsey

Generative AI has sparked the imagination with the explosion of tools like ChatGPT, CodePilot and others, highlighting the importance of LLMs as the basis for modern AI applications. However, implementing GenAI in the enterprise is challenging, and it becomes even more difficult for banks, insurance companies, and other financial services companies. Many Financial Service companies are struggling and end up missing out on the great value of GenAI and the competitive edge it can provide.