Data Science

W. Edwards Deming wrote, “In God we trust, all others must bring data.”  Product people hold on to this as a mantra – how else can we defend ourselves from random requests? – but we’re not always taught how best to use data.  In this week’s episode, Lens.ai founder Mike Bugembe joins us on the Read more »

In this talk at ProductTank London, Ali Gulez, a data scientist at Trainline gives a lesson in data products and their impact on business. Ali takes us through the role of data science in an organization and dives deeper into the following key points: Data products Segmentation Hierarchy of needs Watch the video to see Read more »

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 »

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 »

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 »

Mike Hyde leads data science and data engineering for Workplace, Facebook’s new enterprise product for company connectivity. He is passionate about using data and insights to create innovative company cultures, so he spoke at ProductTank London about data for growth. How do we attach data science and analytics to product development and management? There is Read more »

In this talk from ProductTank San Francisco Chris Abad, who’s currently VP of product and design at User Testing, shares insights into how bringing together qualitative user research and quantitative data science teams is crucial for companies because it can help them to see the complete picture and inform critical product decisions. Chris shares real-world examples Read more »

Shaona Ghosh (Postdoc at University of Cambridge, Engineering) talks about ways of leveraging data in order to build AI and machine learning algorithms that can learn and make intelligent predictions about the product. Data driven AI/Machine Learning algorithms Machine learning algorithms are bottom up AI techniques that are extremely good in finding patterns in data, Read more »

When you’re looking for new ideas, look beyond yourself. Collaboration and teamwork is a great way to generate new ideas. A popular way to do this is to brainstorm ideas, then aggregate them. Write a thought, whatever comes into your head, put it on a Post-It note. Now, stop. Let’s put them all together on Read more »