Artificial Intelligence
Startup Semester Profile: Joan Buch Prades & Decoditive
Joan Buch Prades is currently spending a semester at UC Berkeley through SCET’s Startup Semester program. Through the program, Joan will take SCET courses, explore emerging technologies, network with like-minded innovators and Berkeley students, and work on his startup: Decoditive. Decoditive is a tool for marketers that uses an AI that is trained with neuroscience…
Behavioral Economics: The Entrepreneur’s Best Friend?
Economics’ Not-So-Hidden Hand Behavioral economics has been much in the public eye this century, whether it was Daniel Kahneman’s 2002 Nobel Prize in economics, Robert Shiller’s in 2013, Richard Thaler’s in 2017, or Dan Ariely’s excellent 2008 New York Times best-seller, Predictably Irrational. These works have highlighted that human decision making isn’t informed solely by the…
Data-X Poster Session shows breadth of AI projects
This semester students had an opportunity to apply the latest data science tools and algorithms to real-life industry problems in our course Applied Data Science with Venture Applications, also known as Data-X (INDENG 135 / 290). For the first time, students were able to showcase their projects in a poster session event on December 4th at…
Humu is using machine learning to create a happier workplace
Wayne Crosby, co-founder and head of product & engineering at Humu, visited the Sutardja Center’s Silicon Valley Innovation Leadership Week executive program to talk about the next industry being revolutionized by artificial intelligence and machine learning: human resources. In Crosby’s view, the HR industry (which he estimates to be about a $400 billion market worldwide)…
SCET’s Data Lab awarded 2018-19 Amazon Alexa Innovation Fellowship
We are pleased to announce that the Data Lab at the Sutardja Center for Entrepreneurship and Technology has been awarded the 2018 – 2019 Alexa Innovation Fellowship. Alexander Fred-Ojala, UC Berkeley data science instructor and research director of the Data Lab at SCET, was selected as one of ten recipients of the Alexa Innovation Fellowship….
Student startup Marco Polo gives athletes a fresh perspective on training
Born out of SCET’s Sports Tech Collider Sprint, Marco Polo is a company focused on bringing artificial intelligence, or AI, to the sports world. Three UC Berkeley students came together to give sports teams an advantage when it comes to training. Second-year MBA student Mike Devlin, computer science Ph.D. student Panna Felsen, and recent alum…
Iron Man vs Terminator: Jobs in the AI Century
The AI Century The natural selection of economics has relentlessly pushed businesses and societies toward maximum efficiency. It’s the principal force that fuels the start-up business models of today as they redefine and make more efficient the economics of tomorrow. It’s this drive to maximum efficiency that’s given rise to disruptive, AI-driven business models that…
What is your data project missing? Here are three must-have elements
The other day I was having a discussion with Inder Sidhu, who was speaking in our Engineering Leadership Professional Program. I wanted to understand his perspective on data and strategy. As you may know, he is a great person to talk to about these things. He joined Cisco and helped it grow from $1 billion…
Our Students Can Make Data, AI, & Blockchain Projects Work in Real Life – and So Can You
A Focus on Implementation and Rapid Impact A Signal in the Noise About 2 years ago, I had a thought that it was time to offer a new type of course in the areas of AI/Data, and possibly extensible to the other digital transformations like Blockchain. To create anything of significant value in this area…
Injecting noise: students build tools to protect individual privacy from artificial intelligence
Artificial intelligence is giving companies unprecedented insights into our personal information. Can individuals protect their privacy by using applications that add fake data to our online behavior? Recently, the credit-reporting agency EquiFax leaked the social security numbers for almost half of all Americans, causing much anxiety about privacy. But there may be an even larger…