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

Product Innovation Educators

Drawing from his 20+ years of technology experience and extensive research, Nishant shared insights about how these activities vary across different organizational contexts – from startups to enterprises, B2B to B2C, and Agile to Waterfall environments.

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517: How to conduct an AI Design Sprint – with Mike Hyzy

Product Innovation Educators

Rather than simply replacing traditional methods with AI tools, this approach creates a powerful combination of human creativity, artificial intelligence, and real-world validation. Team Collaboration The foundation of every successful AI design sprint starts with effective team collaboration.

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Outsourced Software Product Development: A Comprehensive Guide

Arkenea

Rather than building and maintaining a large inhouse team, businesses partner with specialized vendors to handle design, development, testing, and deployment. Large enterprises may outsource entire product lines. Enterprises can add specialized QA or DevOps support during peak release cycles without longterm commitments.

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Top 10 Customer Analytics Platforms for Product and Growth Teams

Userpilot

Artificial intelligence (AI) capabilities: Like predictive modeling or sentiment analysis, can help you uncover hidden patterns in your customer data. Enterprise (custom quote): Includes premium integrations, data warehouse sync, advanced security features, and priority support.

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The Business Value of MLOps

As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models. Download the report to find out: How enterprises in various industries are using MLOps capabilities.

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

Usersnap

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

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7 Best Real User Monitoring Tools [In-Depth Comparison]

Userpilot

Pricing Starter: From $249/month (billed annually) Growth: From $799/month (billed annually) Enterprise: Custom pricing based on advanced needs. Alerting and incident management features with tags and machine learning to address issues in real time. Ideal for enterprises with distributed systems and high-traffic environments.

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Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization.

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5 Things a Data Scientist Can Do to Stay Current

With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Fostering collaboration between DevOps and machine learning operations (MLOps) teams.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.