Explores the application and impact of advanced AI technologies in product development and workflows. Sessions cover the use of AI tools, agentic AI, AI co-pilots, large language models (LLMs), and specific AI platforms like AI21.
SaaS is on its way out
AI isn't just a tool.
Transform your company first
Beyond simple automation
AI scored a passing interview!
Prove value early
UX without Figma?
Strategic model training
My AI couldn't confuse students!
Why two AI's are better!
Your practice partner!
“The challenge here is that it's like, sometimes we talk about it, to boil the ocean, because it's like everything, it's all types of things that all people can ask for, and here you need to manage, here you need to understand the technology and manage risks smartly.”
“You cannot develop agents properly and make this mental shift if you are not, you cannot expect your users, and I'll put it this way, to use agents if you yourself are not accustomed to it and don't understand how this thing works.”
The landscape of AI product development for enterprises is undergoing a radical transformation. As companies rush to integrate artificial intelligence, many are discovering that traditional product management playbooks and sales cycles no longer apply. This shift demands a new approach, particularly as the industry grapples with the complexities of moving from impressive demos to scalable, production-ready solutions.
In an era where AI is rapidly accelerating development, traditional SaaS models are facing unprecedented challenges. Amir Kessler, VP Product at Jit, shares his company's journey in transforming its cybersecurity SaaS product into an 'agentic' solution, a paradigm shift from merely assisting users to actively performing tasks for them. This transition, born from a critical market need, required not just product innovation but a complete overhaul of Jit's internal operations and mindset.