ai 
Mind the Product
MARCH 27, 2024
With artificial intelligence now becoming human-like, Kraftful CEO Yana Welinder looks at how we should adapt to a future where AI surpasses human intelligence Read more » The post Product craft in the age of AI appeared first on Mind the Product.
Mind the Product
APRIL 16, 2024
The remarkable rise of ChatGPT has become a focal point, prompting teams to explore integrating chat experiences into their Read more » The post Deep dive: UX best practices for AI chatbots appeared first on Mind the Product.
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Mind the Product
OCTOBER 16, 2023
Lightful has been building features with AI tools with a fairly novel approach with an 'AI Squad'. The organisation has been working through daily iterations with a cross-functional team trying to apply product and design theory to the practical part of building AI products.
Mind the Product
APRIL 25, 2024
Read more » The post Building products with trust and safety in the age of AI appeared first on Mind the Product. Anuja More, a Product lead at Meta, draws from her experience developing conversational experiences on WhatsApp, sharing insights on how product managers can build a secure environment for their user community.
Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)
We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond. Key objectives: Introduction to the structures and ownership dynamics of data platform, analytics and AI teams, along with an exploration of various roles in the data ecosystem.
Mind the Product
DECEMBER 15, 2023
Uncover strategic insights on how product managers can seamlessly integrate AI/ML into their products to stay ahead. Read more » The post The product manager’s playbook for AI/ML integration appeared first on Mind the Product.
Lenny Rachitsky
APRIL 9, 2024
PMs and VPs), Lennybot (an AI chatbot trained on my newsletter posts, podcast interviews, and more), and my swag store (great gifts for your favorite PM, or yourself!). AI is coming for many jobs, but it’s different when it comes for yours. Think about it—what is AI best at?
Advertiser: Data Robot
AI is becoming ubiquitous. The number of critical touch points is growing exponentially with the adoption of AI. But with the incredible pace of the modern world, AI systems continually face new data patterns, which make it challenging to return reliable predictions. Brought to you by Data Robot.
Advertiser: Data Robot
In our AI in Manufacturing eBook, you can learn how to solve your most urgent manufacturing and business needs with an enterprise AI platform. Get this eBook to learn about: Achieving ROI with AI and delivering valuable results with urgency. How AI modernizes demand forecasting, supply chain, and predictive maintenance.
Advertiser: Data Robot
Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. But in order to reap the rewards that AI offers, it is essential that businesses first address how their organizations are set up, from their people to their processes. Building trust in AI.
Advertiser: Data Robot
An organization’s path to AI success can be full of obstacles, from a proper assessment of its own AI maturity, to a better alignment between business and technical teams, many factors can influence the outcomes. While AI progress is hard, companies don’t have to get stuck in an endless loop of inertia on their path to value-driven AI.
Advertiser: Data Robot
The risk of bias in artificial intelligence (AI) has been the source of much concern and debate. Numerous high-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data. Are you ready to deliver fair, unbiased, and trustworthy AI?
Advertiser: Data Robot
Generative AI is taking the world by storm, but the questions that all CEOs, data leaders, and AI leaders are being asked are: What are we going to do about it, and what is our plan? The business and creative possibilities are practically limitless with generative AI.
Advertiser: Data Robot
You know you want to invest in artificial intelligence (AI) and machine learning to take full advantage of the wealth of available data at your fingertips. But rapid change, vendor churn, hype and jargon make it increasingly difficult to choose an AI vendor. The five key things to consider when looking for an AI vendor.
Advertiser: Data Robot
For businesses that are AI-driven, this trust hinges on the confidence that their AI solution can help them make their most critical decisions. In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale.
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