We are an elite team of AI practitioners who build state-of-the-art AI solutions to solve problems for the world’s biggest companies. Learn more in our candidate interview guide.
Building state-of-the-art machine learning models is hard, but working with organizations to adopt and implement AI into their existing workflows is even…
We are an elite team of AI practitioners who build state-of-the-art AI solutions to solve problems for the world’s biggest companies. Learn more in our candidate interview guide.
Building state-of-the-art machine learning models is hard, but working with organizations to adopt and implement AI into their existing workflows is even…
We are an elite team of AI practitioners who build state-of-the-art AI solutions to solve problems for the world’s biggest companies. Learn more in our candidate interview guide.
Building the machine learning production infrastructure (or MLOps) is the biggest challenge most large companies currently have in making the transition to…
AI initiatives always start with the best of intentions. You create your AI strategy. You get the budget approved. You find some qualified data scientists to do the work. You identify the first AI project and have your kickoff meeting with the business partners. Your data scientists finally get the…
Here is a hack I use to evaluate an engineering team’s AI experience: teams that are new to AI focus too much on the machine learning (ML) model. …
Like most engineers, I hate tedious work. After I solve a problem once, I want a computer to take care of it whenever it pops up again. I try to automate everything, including machine learning projects. That’s why I love the idea of automatic machine learning (AutoML). …
Want your data scientists to freak out? Tell them to start following the agile methodology.
Want your product teams to freak out? Tell them that agile doesn’t work for data science projects.
You’re going to run into extreme opinions on this topic. Scrum, Kanban, and the many variants have become…
I have a confession. I spent several years helping Fortune 1000 companies develop AI strategies before I recognized some gaps in my approach. I used to believe that an AI strategy should primarily answer the question, “What can AI do for us?” I even wrote a book about it.
Of…
The media writes scary stories about everything that can go wrong with AI. A spreadsheet error creates $6B in losses for JP Morgan Chase. Content creators sue YouTube, alleging AI racial profiling. Law firms raise concerns about regulatory risk from AI’s “black box.” …
AI is a fundamental capability like the Internet, computers, or electricity. Like these previous technology revolutions, the most effective organizations rethink their entire organizations and business processes to take advantage of it.
We’ve identified 8 dimensions along which change must occur and specific questions for gauging your maturity. …
Founder of Prolego.io. We help Fortune 1000 companies build new revenue streams with AI.
