article thumbnail

Product Success Issues: Uses of Artificial Intelligence in Product Success Management

Spice Catalyst

In this tenth and final episode in the Product Success Issues, we discuss the Uses of Artificial Intelligence in Product Success Management. Specific uses in pulling together a product market strategy, mature processes, information for decision-making, understanding the customer and competencies are discussed.

article thumbnail

519: Product verification, most important of the 19 activities of product management – with Nishant Parikh

Product Innovation Educators

This led him to research and identify 19 core activities specific to product management, with clear separation from product marketing, sales, and go-to-market functions.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

AI is rewiring product development: Is your operating model ready?

Modus Create

At Modus Create, we define intelligent product development as: Building software around AI: Where AI is embedded into the product experience (i.e., personalization, recommendation engines, generative UI, LLM-based support, predictive analytics). You can simulate user interactions with LLM personas.

article thumbnail

Pawel Huryn’s Proven Templates for AI-Ready Product Discovery: Stop Collecting Useless Data

Usersnap

Large language models or deep learning tools can surface patterns, but real insight comes from your team’s shared understanding of your users , market, and data. Teams that collaborate upfront can spot hidden customer pains, align on business metrics, and shape discovery to drive real outcomes.

article thumbnail

De-risking your 2025 initiatives: Why every intelligent app must start with a PoC

Modus Create

Their research team wanted to develop an app to test its hypothesis about eating disorder treatment, and our developers utilized machine learning framework, third-party API integrations, and a modern tech stack (Rails, React Native, React) to create a clinical-trial ready app in eight months.

article thumbnail

Ravi Mehta’s AI Strategy Surveys: Build AI That Fits, Flows, and Wins

Usersnap

Ravi Mehta , former CPO at Tinder and product thought leader has long focused on frameworks that align product execution with strategic growth. It’s about: Solving real user problems : Does artificial intelligence fix something painful enough? His AI strategy lens is uniquely actionable. It’s not about AI hype.

article thumbnail

16 Experimentation Influencers You Should Follow

AB Tasty

Whether you’re an A/B testing novice or a seasoned pro, here are some of our favorite influencers in CRO and experimentation that you should follow: Ronny Kohavi Ronny Kohavi , a pioneer in the field of experimentation, brings over three decades of experience in machine learning, controlled experiments, AI, and personalization.