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Don’t Use Generative AI to Replace Discovery with Real Humans

Product Talk

I’m disappointed to see the rise of generative AI tools that are designed to replace discovery with real humans. I’m a big fan of generative AI. I’ll then share how and where I think generative AI can help, and clearly identify what we should avoid. Everything we do in discovery is in service of that.

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Spark: Bringing generative AI to Mixpanel

Mixpanel

For so long, using the apps and services we need to be productive has required technical formulas or exhausting interfaces. Generative AI is unframing all of that. You can now click a button to get AI to write and organize it for you. You can add all of us at Mixpanel to the list of folks inspired by this technology.

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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). Imagine a tool that not only automates tasks but also learns, adapts, and innovates — genAI development company, a technology that is already capturing significant attention. What sets GenAI apart are its real-world applications.

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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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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes.

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Anna Russo: Strike A Balance between Generative AI and Data Science

The Product Coalition

Product leader Anna Russo explains what’s important when making data-driven decisions with Generative AI. Within these debates the prevailing narratives are that we need to fully embrace generative AI in order to radically increase our productivity. And don’t get me wrong, some of them are useful.

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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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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.

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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.