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How AI captures customer needs that human product managers miss Watch on YouTube TLDR In my recent conversation with Carmel Dibner from Applied Marketing Science, we explored how artificialintelligence is transforming Voice of the Customer (VOC) research for product teams.
How New Heuristics Are Reshaping the Creative Process Between Humans andMachines Image generated byChatGPT When the wave of generativeAI 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.
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.
How we build might change with generativeAI. Maybe how we synthesize customer needs might change with generativeAI, but those broad buckets, I think, are fairly stable. I’m really excited about generativeAI. I’m really excited about generativeAI from a teaching standpoint.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.
A Product Design Perspective image sourcelink From chatbots to collaborative canvases, heres how AI is reshaping the way we interact with digital products. Artificialintelligence is not just a backend technology anymoreits now front and center in the user experience. tutor, coach, assistant) - Transparent contextwindows 3.
Image byauthor GenerativeAI has just put usability testing insights into the center of product development. About: Zsombor Varnagy-Toth is a Sr UX Researcher at SAP with a background in machinelearning and cognitive science. If you have ever tried to use an LLM, such as GPT-4o or Claude 3.5 What is this allabout?
According to a 2024 Forbes Advisor poll, the vast majority of people (79%) in the UK are already using generativeAI, such as ChatGPT, to help them with their work while one in six UK organisations have embraced at least one AI technology.
Technology professionals developing generativeAI 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 generativeAI applications are less understood.
Rather than building and maintaining a large inhouse team, businesses partner with specialized vendors to handle design, development, testing, and deployment. Case Study: AIPowered GenAI for Email Marketing A B2B SaaS provider implemented an external AI team to integrate largelanguagemodels into their email marketing platform.
Tactics include: Personalized Content Distribution Creator Analytics and Recommendations Segmented Creator Experience Collaboration and Community Personalized Resources The Future: Emerging Trends in Personalization Thanks to advances in AI/ML, the personalization landscape is rapidly evolving.
Gartner estimates that through 2025, at least 30% of generativeAI projects will fail after PoC due to poor data quality, inadequate risk controls, escalating costs, or unclear business value. However, realizing this upside can come with significant challenges. One example of an organization we worked with is Drexel University.
Klarna is experimenting with one of the more uncommon uses of generativeAI we’ve seen in product as of late: letting customers speak directly to an AI-powered version of its CEO, Sebastian Siemiatkowski.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
LargeLanguageModels (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. 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.
PDO provides data and insights that power machinelearning and AI, at the core of all Meta products. Experience in AI , machinelearning, or related fields. Background working with annotated data and/or leveraging generativeAI in products is a plus.
This role is pivotal in creating the most engaging creative tools for users, with a focus on drawing, playing, and the innovative use of generativeAI. A job seeker with experience building AI-powered consumer products, preferably with ML or LLMs. A person with no background in AI, ML, or LLM-powered products.
A deep dive into how artificialintelligence is shaping the next generation of financial user experiences — through metrics, strategy, and real success stories Until recently, most banks and financial organizations treated artificialintelligence (AI) as tomorrow’s experiment.
AI wont replace developers, but it will make underperformers stand out AI will evolve from a helpful sidekick to a proactive collaborative pair programming partner. GenerativeAI will find practical niches, automating repetitive tasks and scaffolding prototypes.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation metrics for at-scale production guardrails.
AI-powered solutions are applied to complex challenges, such as diagnosing diseases earlier, improving clinical trial success rates, and optimizing supply chains. Key to its value is AI's ability to learn and improve over time. Why data readiness matters The lifeblood of any AI application is data.
GenerativeAI accelerates the creation of content at an incredible pace. Images and audio files that once required a skilled artist can now be generated by AImodels in … Continue reading "Digital authenticity: how to spot AI-generated content"
Apple had little AI-related to announce at this week’s WWDC, and had no visibility whatsoever at AIEWF2025.) At AIEWF2025, Simon Willison was forced to cut the scope of his LLM update keynote from “the past year” to “the past six months” to have a prayer of finishing in the allotted 20 minutes.
We’re talking about how artificialintelligence (AI) is changing the way we manage products and come up with new ideas. As people who manage products, lead teams, or come up with new ideas, we’re right in the middle of this AI revolution. Be careful when using AI, especially with sensitive information.
Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace
Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in ArtificialIntelligence and the incredible potential of LLMs. We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology.
ArtificialIntelligence (AI) has greatly evolved in many areas, including speech and picture recognition, autonomous driving, and natural language processing. However, generativeAI, a relatively new area, has become a game-changer in data generation and content creation.
Read more » The post Image generationAI: 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.
7:36] What part does artificialintelligence (AI) play in digital transformation? The current wave of change is around generativeAI. A lot of companies are pumping out demos of AI passing the bar exam or creating a marketing plan in 30 seconds. Other people are using AI to actually solve problems.
ArtificialIntelligence (AI), and particularly LargeLanguageModels (LLMs), have significantly transformed the search engine as we’ve known it. With GenerativeAI and LLMs, new avenues for improving operational efficiency and user satisfaction are emerging every day.
Speaker: Shyvee Shi - Product Lead and Learning Instructor at LinkedIn
In the rapidly evolving landscape of artificialintelligence, GenerativeAI products stand at the cutting edge. This presentation unveils a comprehensive 7-step framework designed to navigate the complexities of developing, launching, and scaling GenerativeAI products.
In her keynote at #mtpcon London 2023, Claire Woodcock, Director of Product, ML, at Mozilla explains how to keep your head about generativeAI, when everyone else loses theirs. Read more » The post How to keep your head about generativeAI (when everyone is losing theirs) by Claire Woodcock appeared first on Mind the Product.
How AI captures customer needs that human product managers miss Watch on YouTube TLDR In my recent conversation with Carmel Dibner from Applied Marketing Science, we explored how artificialintelligence is transforming Voice of the Customer (VOC) research for product teams.
GenerativeAI is poised to bring about a significant transformation in the enterprise sector. According to a study by McKinsey, the application of generativeAI use cases across various industries could generate an astounding $2.6 Many have a well-defined AI strategy and have made considerable progress.
Explore how human creativity and AI combine to unlock bold, innovative solutions through structured, imaginative thinking. Read more » The post Three creative problem-solving frameworks for ideating with generativeAI appeared first on Mind the Product.
Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
Executive leaders and board members are pushing their teams to adopt GenerativeAI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificialintelligence.
Introduction Artificialintelligence (AI) is changing how we work, especially in product management. As AI tools become more common, product leaders face new challenges in managing teams, fostering innovation, and maintaining a positive work environment.
On a different project, we’d just used a LargeLanguageModel (LLM) - in this case OpenAI’s GPT - to provide users with pre-filled text boxes, with content based on choices they’d previously made. This gives Mark more control over the process, without requiring him to write much, and gives the LLM more to work with.
However, a new era of possibilities has dawned with the emergence of GenerativeAI (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. How can generativeAI transform your business operations?
Let’s talk about how to use AI where it matters most. Credit: Dall-E It’s hard to miss — GenerativeAI features are stealing the spotlight in nearly every product release these days. Allow me to make the case that to do this effectively, you need to fully grasp the “superpowers” of largelanguagemodels (LLMs).
One of the most novel product development trends is the integration of AI technologies in the development process; product managers are among the top ten user groups of artificialintelligence systems in organizations today, with a recent study by IBM highlighting that 21% of product managers use this technology on a daily basis.
Product leader Anna Russo explains what’s important when making data-driven decisions with GenerativeAI. Within these debates the prevailing narratives are that we need to fully embrace generativeAI in order to radically increase our productivity.
Suddenly it seemed that generativeAI might transform industries from education to marketing. The trickiest thing about largelanguagemodels (LLMs) is that they’re great at appearing plausible, even when they’re wrong. . Specifically, the latest LLMmodels “hallucinate,” meaning they just make things up.
In digital content creation, ArtificialIntelligence (AI) has emerged as a significant influence, transforming how content is produced and consumed. Utilizing AI for content creation, including video content, has transformed traditional approaches and significantly impacted efficiency. What is AI for content creation?
In December, our Director of MachineLearning, Fergal Reid , and I sat down to chat about the launch of ChatGPT : the good, the bad, the promise, the hype. My team, the machinelearning team here at Intercom, the Inbox team, discovered that there were two common customer jobs that we’re just seeing a lot.
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