Conference:  Transform X 2022

Authors: Thomas Kurian, Alexandr Wang

2022-10-19

Thomas Kurian, the CEO of Google Cloud, will join Alexandr Wang, CEO and Founder of Scale, to discuss how AI helps businesses across various industries and use cases. Google Cloud is well-known for developer adoption, helping machine learning teams to create production-grade machine learning models. With platforms like Vertex AI and TensorFlow, Google boasts the most popular machine learning platforms adopted by over 3 million developers globally. Google also has succeeded with the widespread adoption of machine learning capabilities in its consumer and business products, including Gmail smart replies and predictive search.Kurian will advise how to best roll out machine learning capabilities to many customers and ensure they are widely adopted. He will also discuss that, with the advent of foundation models, now is the time for all industries to more broadly adopt AI or risk falling behind the competition. He will detail practical use cases for retail, logistics, manufacturing, and healthcare. Kurian and Wang will also discuss the future of machine learning and what it will take to get there.Before Google, Kurian spent 22 years at Oracle; his nearly 30 years of experience have given him a deep knowledge of engineering, enterprise relationships, and leadership of large organizations. Throughout his career, he has demonstrated a unique capability to align the latest technological developments, including machine learning, with real business problems to provide practical solutions to customers.

Conference:  Transform X 2022

Authors: Greg Brockman, Alexandr Wang

2022-10-19

The speaker discusses the potential positive and negative impacts of artificial intelligence and the importance of careful navigation in the field. They emphasize the need for alignment with human values and technical controls to ensure the technology remains in service of humanity.

• AI is a powerful technology that can have both positive and negative impacts
• Misuse and regulation are important considerations in the field
• Technical controls and alignment with human values are necessary to ensure the technology remains in service of humanity
• Building systems that are aligned with human values is a complex problem that requires careful navigation

Conference:  Transform X 2022

Authors: Mike Fisher, Alexandr Wang

2022-10-19

Mike Fisher, Chief Technology Officer of Etsy, will join Scale CEO Alexandr Wang for a fireside chat. Etsy’s systems process over 6 billion events each day. Etsy’s platform was originally created to link creators of unique items with people wanting to buy these one-of-a-kind pieces. In this fireside chat, Fisher discusses scaling the Etsy platform to support over 100 million buyers and 5 million sellers using machine learning. Fisher also discusses how the company has rebuilt many of its search engine capabilities with more intelligent algorithms to provide more accurate recommendations. Learn how Etsy addresses long-term product and content issues and how the company built a strong DevOps and engineering culture that encourages experimentation. Before joining Etsy, Fisher served as a captain and pilot in the U.S. Army, was a Vice President at PayPal, and had several technology leadership roles at GE.

Conference:  Transform X 2021

Authors: Jiajun Zhu

2021-10-07

Jiajun Zhu is the CEO and Co-Founder of Nuro. Prior to founding Nuro, Jiajun was a principal software engineer of Google and one of the founding team members of the company’s self-driving car project (now known as Waymo). He joins Scale AI CEO, Alexandr Wang, in a fireside chat to discuss the technical challenges of building autonomous delivery vehicles at scale. Together Jaijun and Alexandr explore why it's vital for society to automate the nearly 100 billion personal shopping trips we make each year in the US. Jaijun shares the key reasons autonomous goods delivery represents 'one of the hardest engineering challenges in history'. In particular, what are the challenges in managing data to optimize the learning process? How do you optimize for the 'long tail' of edge cases rather than solving the most common driving scenarios? How do you build a sensor strategy in conjunction with an AI strategy? Join this session to hear key lessons learned from the first autonomous vehicle company licensed to operate a driverless delivery service in the state of California.