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How GenAI enables GoDaddy Customers – Laka Sriram (VP Generative AI, GoDaddy)

Mind the Product

In this week’s podcast episode, we speak to Laka Sriram, VP of Generative AI at GoDaddy, discussing leveraging generative AI to streamline the business setup process for entrepreneurs.

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

Product Innovation Educators

How product managers can adapt core responsibilities across different organizations and contexts Watch on YouTube TLDR Through his research and practical experience at MasterCard, Nishant Parikh identified 19 key activities that define the role of software product managers. Why study the 19 key activities of software product managers?

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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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How to navigate the explosion of AI tools aimed at product managers

Mind the Product

According to a 2024 Forbes Advisor poll, the vast majority of people (79%) in the UK are already using generative AI, such as ChatGPT, to help them with their work while one in six UK organisations have embraced at least one AI technology.

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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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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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AI and Product Strategy

Roman Pichler

Customer Insights and Idea Generation AI tools can analyse market data, customer feedback, and emerging trends to suggest new products and features, assuming that enough relevant data is available. For example, you can use an AI tool to analyse support tickets to discover and address common issues.

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Using Data & Analytics for Improving Healthcare Innovation and Outcomes

In the rapidly evolving healthcare industry, delivering data insights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. The complexity of healthcare data, the need for real-time analytics, and the demand for user-friendly interfaces can often seem overwhelming.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Setting & Managing Expectations 📊 Establish and effectively manage realistic expectations for the performance, capabilities, and limitations of LLM-based products throughout their lifecycle. Prototyping & UX 🛠 Get step-by-step guidance on building prototypes and designing user interfaces that maximize LLM usability.

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Building User-Centric and Responsible Generative AI Products

Speaker: Shyvee Shi - Product Lead and Learning Instructor at LinkedIn

In the rapidly evolving landscape of artificial intelligence, Generative AI products stand at the cutting edge. These products, with their unique capabilities, bring fresh opportunities and challenges that demand a fresh approach to product management.

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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. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.

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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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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success?

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The New Frontier: A Guide to Monetizing AI Offerings

Speaker: Michael Mansard and Katherine Shealy

Generative AI is no longer just an exciting technological advancement––it’s a seismic shift in the SaaS landscape. Companies today are grappling with how to not only integrate AI into their products but how to do so in a way that makes financial sense.