AI for Leaders: From Strategy to Practice

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AI for leaders: from strategy to practice Nikolay Stoitsev Senior Engineering Manager at StorPool Storage

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Caution, optimism, and skepticism

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Privacy Inadvertent sharing of secrets

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Accuracy Hallucinations or stale data

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Intellectual property infringement Violating IP, copyright or trademark

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You can’t ban AI

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You lose competitive advantage

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People will still use it

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LLMs can’t think

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The intelligence illusion is in the mind of the user

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Deepseek R1 “While LLMs demonstrate behaviors that resemble reasoning in specific contexts, their capabilities differ fundamentally from human cognition”.

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Crunching PDFs Demo

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• ChatGPT • Gemini • Grok • DeepSeek • Perplexity Web search

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Can provide feedback and different perspective Demo

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Tasks that require quantity Demo

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Tasks where you are an expert

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Tasks to transform information

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Tasks for data analysis Demo

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Tasks that stretch you over many disciplines

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Brainstorming with Live Mode Demo

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• Team needs • Business value • Technical feasibility Where to start?

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• Vendor’s expertise • Privacy/security measures • Integration with existing work fl ows How to pick a tool?

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Each team has specific needs

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Help them understand testing

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Think about the end-to-end workflow

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• Hallucinations • IP indemnity • Unknown failure modes Remind about limitations

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Lead by example Use AI daily and share your experience

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• What tools are allowed • What information should and should not go in • Verifying the output • Standard procedure Set the rules

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Need to measure the RoI / efficiency gains

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Managing degrading quality https://www.gitclear.com/ coding_on_copilot_data_shows_ais_down ward_pressure_on_code_quality

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With more AI we need more managers Alekseeva, Liudmila and Azar, José and Gine, Mireia and Samila, Sampsa, AI Adoption and the Demand for Managerial Expertise (September 27, 2024). Available at SSRN: https://ssrn.com/abstract=4986379

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Q&A Nikolay Stoitsev https://www.linkedin.com/in/nikolaystoitsev/