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Taking Small Steps: Implementing AI Tools Gradually The Future of AI as a Base Technology with Daniel Rohregger
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In this episode of Decode AI, Michael and Ralf interview Daniel Rohregger, a Senior Solution Architect and Microsoft MVP for Microsoft Co-Pilot. Daniel shares his experience with Co-Pilot and discusses its potential for boosting productivity in various use cases. He emphasizes the importance of caution and research when using Co-Pilot, as it is still in its early stages. Daniel also highlights the need for companies to prepare for AI and explore its potential in their business processes. The conversation explores the implementation of AI in companies and the potential impact on job roles and performance reviews. It discusses the idea of using AI, specifically Copilot, for performance reviews and the benefits and limitations of this approach. The conversation also touches on the future of AI and its potential as a base technology in every company. The importance of considering ethical implications and taking a thoughtful approach to AI implementation is emphasized.
Takeaways
Microsoft Co-Pilot has the potential to boost productivity in various use cases, such as generating new product ideas and brainstorming game show concepts.
Caution and research are necessary when using Co-Pilot, as the default model may not always provide accurate or high-quality results.
Companies should prepare for AI and explore its potential in their business processes, considering technical readiness, tool readiness, and people readiness.
AI technologies, including Co-Pilot, differ in terms of data access and control, with Microsoft Co-Pilot having full access to the company's environment.
Companies should take small steps and implement AI tools like Co-Pilot gradually to ensure data protection and avoid potential issues. Implementing AI in companies requires change management to address employee concerns about job security.
AI can assist with performance reviews by providing objective insights, but it should be used as a supplement to personal experience and feedback.
AI has the potential to be a base technology in every company, providing valuable insights and streamlining processes.
Consideration of ethical implications and the need for guardrails is crucial when implementing AI.
Taking a thoughtful and agile approach to AI implementation is recommended, focusing on short-term plans and gradual steps.
Keywords
Decode AI, podcast, Daniel Rohregger, Senior Solution Architect, Microsoft MVP, Microsoft Co-Pilot, productivity, AI, use cases, caution, research, company readiness, AI implementation, job roles, performance reviews, Copilot, benefits, limitations, future of AI, base technology, ethical implications
Links
AI, Microsoft Build, OpenAI, language models, AI development tools, hardware advancements, Google Gemini, technology development
7 episodes
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