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Implementing AI Technologies into Developer Tools with Tsavo Knott

In this talk, Tsavo Knott, CEO and technical co-founder of @getpieces, discusses how AI technologies are transforming developer tools. From small task-specific models to large conversational and vision processing models, learn how Pieces has built a world-class product for macOS, Linux, and Windows. Tsavo and Chief AI Officer Sam reveal the challenges and breakthroughs in integrating AI into every aspect of the developer experience. Don't miss the live demos and insights into the future of AI in software development.

AI-Assisted Incident Management Communication

‍ AI has revolutionized various aspects of incident response, from preparation to resolution. Across the incident response lifecycle, AI is being leveraged to streamline processes, reduce noise, and improve overall efficiency. One critical area where AI is making a significant impact is in incident communication. Effective and efficient communication is crucial during incidents, as it ensures that stakeholders are informed and aligned with the incident status and resolution efforts.

Taking a GenAI Project to Production

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.

Is investing in AI-driven cloud services worth the expense?

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.

The History of AI in the Workplace

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.

Generative AI for Knowledge Management: Pros, Cons and Best Practices

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.

AI Knowledge Management: How to Use Generative AI for Knowledge Bases

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.

Decoding AI: Real Threats and Misconceptions

Artificial Intelligence (AI) is more than just a trending topic; it's a groundbreaking innovation that fundamentally changes industries and society. According to a report by PwC, AI could contribute up to $15.7 trillion to the global economy by 2030, making it one of the most significant technological advancements of our time. One of the practical applications of AI that has gained traction is the use of AI prompts in creative and educational contexts.