I’m proud to announce that we’ve acquired Pulse, an incredible team that has developed some truly innovative machine learning approaches to help optimize the digital workplace. The products that Raj, Jag, Rolf and the team have created are a great demonstration of their creativity and skill, and we are incredibly excited to bring their expertise to our organization. They will spearhead our efforts in ethical applied machine learning as we invest to make Mozilla products more personal, starting with Pocket.
Machine learning (ML) has become a powerful driver of the product experience. At its best, it helps us all have better and richer experiences on the web. Building ML models to power these experiences requires data about people’s preferences, behaviors, and actions online, which is why Mozilla has taken a very cautious approach when applying ML to our own product experiences. It is possible to build machine learning models that serve people on the Internet, transparently, respectful of privacy and built from the ground up with an equity and inclusion approach. In short, Mozilla will continue its tradition of DOING: creating products that serve as examples of a better way forward for the industry, a way that puts people first.
Which explains why we were so excited when we started talking to the Pulse team. It was immediately apparent that we both fundamentally agree that the world needs a model where automated systems are built from day one with individual people as the primary beneficiary. Mozilla, with nearly 25 years of history building people- and privacy-focused products, is the right organization to do it. And with Pulse as part of our team, we can move even faster in setting a new example for the industry.
One of the things that makes this marriage fit so well is Pulse’s history of creating products that are optimized for each individual customer’s preferences. They know how to take things from theory and design and turn them into real product experiences that address real needs and preferences. That kind of background will be critical as we work to improve the experience in our existing and new products in the coming years. I am especially excited to improve our machine learning capabilities, including personalization, in Pocket, a fantastic product that has barely scratched the surface of its full potential.
We have big plans for the skills and knowledge of the Pulse team, and we are delighted to have their contributions to our growing portfolio of products.
So Raj, Jag, Rolf and crew, welcome aboard! We are energized by the opportunity to work together, and I can’t wait to see what we build.