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Generative AI and Its Approach to Design

UX Planet

How New Heuristics Are Reshaping the Creative Process Between Humans andMachines Image generated byChatGPT When the wave of generative AI tools began flooding the market, I must confess my reaction was mixed: a sense of fascination for the possibilities and concern for the ethical challenges looming on the horizon.

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

Product Innovation Educators

As the field continues to evolve, those who understand these core activities and how to adapt them to their specific context will be best positioned to create successful products that truly meet customer needs while delivering business value.

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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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Y Oslo 2024: When It Comes to Discovery, Something is Better Than Nothing

Product Talk

How we build might change with generative AI. Maybe how we synthesize customer needs might change with generative AI, but those broad buckets, I think, are fairly stable. I’m really excited about generative AI. I’m really excited about generative AI from a teaching standpoint.

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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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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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The Innovation Ambition Matrix

Roman Pichler

5] Note that a disruptive technology like generative AI does not automatically achieve disruption. 4] See Clayton Christensen, 1997, The Innovators Dilemma, Harvard Business School Press, and Clayton Christensen and Michael Raynor, 2013, The Innovators Solution , 2nd ed., Harvard Business Review Press. [5]

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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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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. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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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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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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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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Enhance Customer Value: Unleash Your Data’s Potential

Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights. With Logi Symphony, we aim to turn these challenges into opportunities.

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5 Ways You Can Win Faster with Gen AI in Sales

Incorporating generative AI (gen AI) into your sales process can speed up your wins through improved efficiency, personalized customer interactions, and better informed decision- making.

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Using Data & Analytics for Improving Healthcare Innovation and Outcomes

Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights. But with Logi Symphony, these challenges become opportunities.