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Interest in generative AI has skyrocketed since the release of tools like ChatGPT, Google Gemini, Microsoft Copilot and others. Along with the hype comes concerns about privacy, personal identifiable information (PII), security and accuracy. Organizations are treading cautiously with generative AI tools despite seeing them as a game changer. Many seek the “sweet spot” – enabling benefits right now while identifying more strategic future uses, all without compromising security.

Interest in generative AI has skyrocketed since the release of tools like ChatGPT, Google Gemini, Microsoft Copilot and others. Along with the hype comes concerns about privacy, personal identifiable information (PII), security and accuracy. Organizations are treading cautiously with generative AI tools despite seeing them as a game changer. Many seek the “sweet spot” – enabling benefits right now while identifying more strategic future uses, all without compromising security.

Today, Artificial Intelligence (AI) is at the top of every technology leader’s mind. What technologies should you incorporate? Who should you partner with to get the most out of AI investments? How best to implement AI within the workplace? To answer these questions, we first need a better understanding of how we got here.

Artificial intelligence (AI) is the next significant technological frontier, poised to revolutionize the tech sector, particularly through its massive impact on cloud infrastructures. By 2024, this transformation is expected to be as widespread as managed Kubernetes services, with an estimated 70% of organizations utilizing managed AI services in their cloud setups.

Generative AI and Large Language Models (LLMs) are the new revolution of Artificial Intelligence, bringing the world capabilities that we could only dream about less than two years ago. Unlike previous milestones, such as Deep Learning, in the current AI revolution, everything is happening faster than ever before. Many feel that the train is about to leave the station, and since we are talking about bullet trains – every day matters.

Would that make a difference? Of course it would!

Open source software (OSS) is a type of software with source code that can be published, reused, modified, and redistributed free of charge. This approach to building, maintaining, and distributing software has benefits for businesses and end users alike. In this article, you will learn what OSS is, its benefits for the software community, and the differences between different open source licenses.