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Using Generative AI to Drive Corporate Impact

TechEmpower - Product Management

Generative AI is revolutionizing how corporations operate by enhancing efficiency and innovation across various functions. Focusing on generative AI applications in a select few corporate functions can contribute to a significant portion of the technology's overall impact.

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Image generation AI: A paradigm shift in creativity and governance

Mind the Product

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

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Unlocking Efficiency: Harnessing the Power of Generative AI in Business Operations

The Product Coalition

However, a new era of possibilities has dawned with the emergence of Generative AI (GenAI). A recent study by Gartner revealed that more than 80% of enterprises will have used Generative AI APIs or deployed Generative AI-enabled applications by 2026, highlighting its potential to transform various functions.

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How to keep your head about generative AI (when everyone is losing theirs) by Claire Woodcock

Mind the Product

In her keynote at #mtpcon London 2023, Claire Woodcock, Director of Product, ML, at Mozilla explains how to keep your head about generative AI, when everyone else loses theirs. Read more » The post How to keep your head about generative AI (when everyone is losing theirs) by Claire Woodcock appeared first on Mind the Product.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Generative AI Solutions: Revolutionizing the Content Industry

The Product Coalition

Artificial Intelligence (AI) has greatly evolved in many areas, including speech and picture recognition, autonomous driving, and natural language processing. However, generative AI, a relatively new area, has become a game-changer in data generation and content creation.

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Improving Image Generation AI to Inspire Creativity

UX Studio

Current generative AI tools can come up with videos and images within minutes. Are they prepared to generate unpredictable visual assets based on prompts? Will image generation AI help them? Generative AI’s visual generation capabilities are improving very fast.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.

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The Executive Guide to Generative AI

Generative AI is taking the world by storm, but the questions that all CEOs, data leaders, and AI leaders are being asked are: What are we going to do about it, and what is our plan? The business and creative possibilities are practically limitless with generative AI.

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Embedded Analytics Insights for 2024

From data security to generative AI, read the report to learn what developers care about including: Why organizations choose to build or buy analytics How prepared organizations are in 2024 to use predictive analytics & generative AI Leading market factors driving embedded analytics decision-making

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Value-Driven AI: Applying Lessons Learned from Predictive AI to Generative

Speaker: Data Robot

Enterprise AI maturity has evolved dramatically over the past 5 years. Most enterprises have now experienced their first successes with predictive AI, but the pace and scale of impact have too often been underwhelming. Now generative AI has emerged and captivated the minds and imaginations of leaders and innovators everywhere.

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A Tale of Two Case Studies: Using LLMs in Production

Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace

We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology. Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs.

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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

Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future. Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications.

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Addressing Top Enterprise Challenges in Generative AI with DataRobot

The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments.