Join me, Professor Ashley Braganza, and AI expert Dr Nikolay Burlutskiy as we explore the rise of AI agents, the power of synthetic data and what organisations must do to adopt AI responsibly.
According to Nikolay, “Synthetic data proved better than real-world datasets in our trials at Astra Zeneca.”
What you’ll learn:
• Why 2024 was GenAI and 2025 is firmly the year of AI agents
• How to set internal benchmarks and assess performance, cost and AI vulnerabilities
• Best practice: start small, integrate agents securely, then scale
• Use cases: from AI-generated pathology reports saving lives to automating knowledge retrieval across enterprise systems
• Why synthetic data can outperform real data thus boosting AI model accuracy
• The importance of upskilling your workforce in problem-solving, literacy, and keeping humans in the loop
Key messages:
• AI platforms can be simplified by consolidating multiple solutions into one.
• Cost control is essential when adopting generative AI solutions.
• Companies should establish internal benchmarks for AI model performance.
• AI agents are becoming integral to business processes.
• Upskilling the workforce is crucial for successful AI integration.
• AI can significantly reduce waiting times using healthcare diagnostics.
• The future of work will involve a collaboration between humans and AI agents.
• AI has the potential to create new job opportunities while transforming existing roles.
Find out why Nikolay thinks: “AI agents will change the way we work… but they must be integrated carefully, with human oversight.” Dr Nikolay Burlutskiy
Listen now discover how to harness GenAI, AI agents and synthetic data in your organisation.
Chapters
00:00 Early AI robot developments
04:08 Simplifying AI Platform Creation
09:59 Choosing the Right AI Models
14:57 Incorporating AI Agents into Workflows
20:07 The Impact of AI on Workforce Dynamics
25:00 Use Cases of AI in Healthcare and Business
30:04 The Role of Synthetic Data in AI Development
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