Special Episode with Kseniia Palin: From AI to GenAI and engineering for agentic workloads | Ep 19
Description
In this special episode of the Agent Workforce Podcast, Kristiina and Niko sit down with Kseniia Palin, Senior Data & AI Engineer at Digital Workforce, to explore how GenAI is reshaping the way AI solutions are built, delivered, and maintained.
Kseniia shares her journey from developing traditional machine-learning solutions in AWS and Azure to delivering today’s agentic workloads, and how development methods, team collaboration, and governance need to evolve to keep up.
Catch up on this episode:
🔹 What’s changed between traditional ML and GenAI projects
🔹 How agentic development adds complexity, and opportunity
🔹 Why cross-team collaboration and trust matter more than ever
🔹 No-code, low-code or pro-code, and how to choose the right path
Before the deep dive, our hosts recap the recent OpenAI updates, from the ChatGPT usage study and GDPVal benchmark, to Dev Day rumours and the Deloitte AI report case.
🎧 It’s a longer conversation, so pick up your beverage of choice and buckle up!
Chapters:
00:00 Intro
01:10 Meet Kseniia Palin
02:00 OpenAI Updates Recap
03:50 ChatGPT Usage & Adoption at Work
06:20 Reflections on Workplace AI Use
07:45 Introducing GDPVal
11:30 Implications for Real Workflows
13:15 OpenAI Agent Builder Rumours
14:55 From ML to Agentic Development
15:35 No-Code, Low-Code or Pro-Code?
19:25 Enterprise Constraints and Upskilling
20:55 The Rising Complexity of Agentic Solutions
25:25 Trust, Security & Responsibility
27:20 Collaboration Over Silos
29:50 Learning and Working in the Agentic Era
31:45 Preparing Organizations for Agentic AI
35:35 The Deloitte AI Report Case
38:00 Human Oversight in the Age of Automation
40:00 Events & Wrap-Up
United States
