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Are you ready to transform life sciences with intelligent apps? Five questions to help kickstart your AI journey

Modus Create

An important first step for any executive is to complete a self-assessment of your readiness to deploy intelligent apps and take advantage of all that AI has to offer life sciences. Do you have the right data infrastructure and governance in place? Data quality is fundamental to any AI project. Here are five questions to ask.

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Top Product Manager Roles at Data-Driven Companies (+Candidate Spotlight)

Userpilot

You will drive step-by-step operational data onboarding, governance, and automation enhancements during Apple’s new product introduction (NPI) events. Background working with annotated data and/or leveraging generative AI in products is a plus. He will drive AI-driven automation and efficiency.

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Outsourced Software Product Development: A Comprehensive Guide

Arkenea

However, successful outsourcing requires clear processes, robust governance, and careful partner selection. This can include: Product strategy: Roadmap definition, market research, feature prioritization. Establish clear governance and communication protocols to mitigate these risks.

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AI transformation 101: How AI is revolutionizing life sciences

Modus Create

For leaders in life sciences, the critical question is not "Should we integrate AI?" This blog explores the trends, applications, and strategies that can help you answer that question. How AI is used in life sciences AI has shifted from being a futuristic concept to a practical, indispensable tool for life sciences companies.

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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

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.

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8 AI trends that will define product development in 2025 & beyond

Modus Create

AI wont replace developers, but it will make underperformers stand out AI will evolve from a helpful sidekick to a proactive collaborative pair programming partner. Generative AI will find practical niches, automating repetitive tasks and scaffolding prototypes.

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Inside the AI Revolution in Digital Banking UX: Case Studies, Data, and Strategic Takeaways

UX Planet

A deep dive into how artificial intelligence is shaping the next generation of financial user experiences — through metrics, strategy, and real success stories Until recently, most banks and financial organizations treated artificial intelligence (AI) as tomorrow’s experiment. Almost every bank is at least planning for GenAI.