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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.
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.
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.
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.
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.
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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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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).
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?
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: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
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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?
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.
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.
In this article, we’ve selected 24 of the best AI podcasts for you to listen to improve your knowledge of AI and keep up to date with the future of AI technology in product management and more. is a pioneering weekly podcast that pushes the boundaries of artificialintelligence in content creation. Podcast.ai
Integrating GenerativeAI into advertising workflows enhances campaign planning by transforming briefs into targeted audience recommendations, boosting efficiency and effectiveness. Read more » The post Learning from experience: Key takeaways from our GenAI project appeared first on Mind the Product.
With AI technology, marketers can identify microtrends and even predict trends, saving time and resources through automated digital marketing services. Artificialintelligence (AI) has begun to transform all facets of our professional and personal lives. How is AI used in marketing?
Speaker: Shyvee Shi - Product Lead and Learning Instructor at LinkedIn
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New technologies alone introduce change and uncertainty—think of the Internet of Things, Blockchain, machinelearning, and generativeAI, for example. For digital products, this is hardly ever the case in my experience.
In the ever-evolving tech landscape, where innovation meets the promise of generativeAI, one crucial question looms: Can we truly harness the transformative power of AI while safeguarding sensitive data? Read more » The post AI data privacy: A new product essential appeared first on Mind the Product.
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.
I’ve spent the past decade working on monetization strategies for places like Uber and Templafy, as well as advising more than 20 tech companies on their approaches, and what I’m seeing around AI products is very different from older technologies. Figma)—rather than base models (OpenAI’s LLM) or infrastructure (e.g.
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.
Entrepreneurs and product managers are prone to overconfidence bias. When we correlate the success rate of one out of ten start-ups with… Continue reading on Product Coalition »
Current generativeAI tools can come up with videos and images within minutes. Are they prepared to generate unpredictable visual assets based on prompts? Will image generationAI help them? GenerativeAI’s visual generation capabilities are improving very fast.
It’s no surprise business is responding to the rapidly evolving field of GenerativeArtificialIntelligence (GenAI). So, it makes sense that Customer Experience (CX) leaders want to explore how AI can help them find new ways to connect with their customers while gaining competitive advantage.
For example, take a look at this clip: [link] Recently, OpenAI announced Sora: a new version of video-generatingAI. What’s text-to-video AI Let’s start with a short definition. The concept utilizes artificialintelligence algorithms to automatically generate videos from text prompts.
The undeniable advances in artificialintelligence have led to a plethora of new AI productivity tools across the globe. If you’re looking to accelerate product growth and adoption with the help of AI, you’re in the right place. Brand24: AI tool for social listening. What are AI productivity tools?
Let’s explore each of these data analytics trends to understand how they can be leveraged in your company: Smarter analytics with artificialintelligence : AI enhances data analytics by making processes faster, more scalable, and cost-effective, enabling better user behavior prediction and product optimization.
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.
Computer vision is a branch of the broader concept of “artificialintelligence.” However, generativeAI substantially improves computer vision accuracy, enabling use cases previously unthinkable. Computer vision systems can achieve up to 99% accuracy by training deep-learningAImodels with vast amounts of visual data.
In a world filled with AI innovation, we caught up with Amy Challen, Global Head of AI at Shell, to hear about how the energy company has been embracing GenerativeAI. Read more » The post Connecting business, product, and AI: Insights from Amy Challen, Global AI Leader at Shell appeared first on Mind the Product.
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