Artificial Intelligence (AI) & Machine Learning (ML)
LATEST POSTS
Can AI Create a Fairer World? By Kriti Sharma
In this thought-provoking keynote from #mtpcon London, Google Scholar and UN Advisor Kriti Sharma discusses the impact of artificial intelligence on decision making and what we, as product people, should be doing to ensure this decision making is ethical and fair. Key Points Machine learning and decision making is often based on biased historical patterns Read more »
They're Just Fancy Averages by Ben Fields
In this ProductTank London talk, Ben Fields, formerly Lead Data Scientist at FutureLearn, looks at getting the most from the relationship between product managers and data people, working out people’s background understanding, the benefits of leading with a story, and how best to spread knowledge. There are three key aspects of how data science can Read more »
5 Machine Learning Lessons for Product Managers
Artificial intelligence (AI) is probably the biggest commercial opportunity in today’s economy. What does it mean for us as product managers? We all use AI or machine learning (ML)-driven products almost every day, and the number of these products will be growing exponentially over the next couple of years. According to Crunchbase, in 2018 there Read more »
4 Product-Driven Steps to an ArtificiaI Intelligence Roadmap
What’s so transformative about artificial intelligence (AI), anyway? Artificial intelligence (AI) is regularly breaking new ground, from DeepMind’s AlphaGo Zero teaching itself to play Go and beating human champions to text-generating algorithms so powerful that their creators at OpenAI decided not to release them publicly for fear of malicious use. While these accomplishments are rightfully generating enormous buzz and Read more »
Beyond the Hype on AI - Ashwini Asokan on The Product Experience
Ashwini Asokan, CEO and co-founder of intelligent retail automation platform VUE.ai, is working to evolve the world of retail, making shopping more of an entertainment experience. She’s spent a lot of time thinking about artificial intelligence and she sat down with us to go beyond the hype – and give us some practical advice about Read more »
Data Science and Digital Businesses by Ali Gulez
Machine learning data products can create significant value for businesses and their customers. For example, data products can enable customers to engage with more relevant content, facilitating and supporting repeat custom to the business. In this ProductTank London talk Ali Gulez discusses the critical intersection of data products and digital businesses, sharing his knowledge of machine Read more »
Talking About Data Science by Jenessa Lancaster
Jenessa Lancaster is a data scientist at Ocado Technology. In this ProductTank London talk, she discusses the importance of communicating data concepts to non-specialist audiences. We live in promising times for data science in business development. Many organisations are increasing investments to their data science and machine learning departments, acknowledging the valuable insights that these Read more »
AI at an Early Stage Startup by Zara Tam
Zara Tam loves building things that make an impact. Now at Verve, she was formerly a product manager at Founders Factory, where she led a revolutionary AI recruitment product called Chosen. Built with the latest machine learning and search technologies, Chosen can help recruiters to find brilliant talent in a matter of minutes. In this Read more »
How Predictive Analytics can add Value to Applications
Every software application today is fighting for space in an increasingly crowded market, so software vendors need to differentiate their offerings with valuable features to avoid losing out to competitors. An increasing number of application teams are turning to predictive analytics as a source of competitive differentiation and additional value for end users. In fact, Read more »
Building Search Products With Machine Learning - Shakhina Pulatova
In this talk, Shakhina Pulatova gets deep on the art of searching. She takes us through search basics, to what powers search products, and ends with why you should give creating search products a try. On Intent The act of searching means the user has a question that needs answering, so the first key principle Read more »