H2O.ai is leading the movement to democratize AI for All
Our approach is to be open, transparent and push the bleeding edge. Our philosophy is to create a culture of makers: community, customers, partners, entrepreneurs and our own “makers gonna make”. Our vision is to democratize AI for everyone. Not just a select few. We enable this with our award winning, H2O Driverless AI, the platform that uses AI to do AI to make it easier, faster and cheaper to deliver expert data science as a force multiplier for every enterprise. We want everyone to explore, learn, dream and imagine a new future.Read the eBook
Wells Fargo Shares How To Build a World Class Data Science Team
Where does the data come from? How does it all fit together? Do you understand what the data means? How do you train a model? Do you have the infrastructure? How’s it going to sit in production? Do my data sources in training match what’s going to be there at the time of scoring? There’s so many factors to be worried about.
Krish Swamy and Balaji G. from Wells Fargo explain the need and how to build a well rounded and a multifunctional team.
Play the video to watch Krish and Balaji in action.
LinkedIn Discusses AI that Creates Professional Opportunities at Scale
Professional opportunities can manifest itself in several ways like finding a new job, enhancing or learning a new skill through an online course, connecting with someone who can help with new professional opportunities in the future, finding insights about a lead to close a deal, sourcing the best candidate for a job opening, consuming the best professional news to stay informed, and many others.
Deepak explains how social networks connect talent with opportunity at scale by leveraging and developing novel AI methods.
Play the video to watch Deepak in action.
AI4ALL Educating the Next Generation of AI Technologists, Thinkers, and Leaders.
Artificial intelligence could contribute an additional 1.2% to annual gross domestic product growth over the next decade, according to a recent McKinsey report. The report also predicts that about 70% of companies will adopt at least one form of AI by 2030. As AI goes full steam ahead, it’s critical to ask the right questions while still in early stages: who is building and shaping this important technology? Research shows that the AI field doesn’t adequately reflect the broader population, which suggests that globally, we’re missing out on the value that diverse teams bring to AI development, implementation, and research. For example, in the US only 13% of AI CEOs are women, and only 2.6% of tenure-track engineering faculty identify as African American and only 3.6% identify as Hispanic. When diverse voices are left out of AI, the reliability and fairness of AI systems come into question.
Play the video to watch CEO – AI4ALL, Tess Posner, speak about Democratizing AI