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Image generation AI: A paradigm shift in creativity and governance

Mind the Product

We look for a way forward that will harness its immense possibilities while also ensuring safety, transparency and responsible governance. Read more » The post Image generation AI: A paradigm shift in creativity and governance appeared first on Mind the Product.

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444: Executive leadership and digital transformation challenges – with David Rogers

Product Innovation Educators

7:36] What part does artificial intelligence (AI) play in digital transformation? The current wave of change is around generative AI. A lot of companies are pumping out demos of AI passing the bar exam or creating a marketing plan in 30 seconds. The current wave of change is around generative AI.

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4 Takeaways from the Texas Digital Government Summit Keynote on AI*

Agile Velocity

Everyone seems to be using Gen AI tools to optimize their existing processes and organizations are either building AI solutions or partaking. So it wasn’t a surprise that the agenda for the 2024 Texas Digital Government Summit was packed with AI talks, including the opening keynote by Sharon Gai. Think Terminator….we’re

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AI transformation 101: How AI is revolutionizing life sciences

Modus Create

For life sciences leaders wanting to explore applications in areas like medical imaging or predictive diagnostics, a question to consider is: Is your data ecosystem ready for AI ? This foundation positions them to harness the full power of AI. The lifeblood of any AI application is data. It's a game-changer for life sciences.

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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. Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications.

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Outsourced Software Product Development: A Comprehensive Guide

Arkenea

However, successful outsourcing requires clear processes, robust governance, and careful partner selection. Establish clear governance and communication protocols to mitigate these risks. Use trial periods or small pilots to assess vendor quality before full engagement.

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14 Data Analytics Trends for 2024: What You Can’t Ignore

Userpilot

Generative AI : Generates diverse media types, assisting in strategy creation, predictive modeling and product development, impacting content marketing and customer service. Synthetic data : Offers a privacy-compliant alternative for AI training and validation tests, predicted to surpass real data usage in AI models by 2030.