- Innovation Engineering
- Data, AI, and System Architecture
Why Innovation Engineering: Most innovation projects still fail – and this will continue until we fix the root cause – which is the execution, and not the slide presentation.
The challenge in developing any new technology, application, or venture is that the innovator must be able to “execute while also learning” – as well as have the the behaviors and leadership style required for innovation. Simply having a good plan and smart team is not enough.
What is it: Innovation Engineering is a practical guide to creating anything new – whether in large firms, research labs, new ventures, or even innovative student projects.
It has been working in our projects at Berkeley and beyond: Our validation tests show that teams which properly use Innovation Engineering in their innovative projects have 4X productivity. They also get higher quality results and actually feel happier about their projects.
Projects and Collaborations: We are using this approach in our classrooms and labs, including AI/Data applications for auto, developing new 5G /AI services with GSMA, new venture acceleration, research lab partnerships, and collaborations with companies.
Talk to us if you want to know more or learn more about the Innovation Engineering model here.
We put this text together to guide and scale our classroom projects, new venture acceleration, research lab partnerships, and collaborations with companies. Many of our collaborators have also been waiting to see our approach to innovation written down in it in a step-by-step recipe format. Innovation Engineering – the Book (Beta Version) – Finally Available at Amazon:
Innovation Navigator, a spreadsheet based tool
to reinforce inductive learning within the execution of an innovation project.
- JC-X: Developing an AI based solution for a placement agency to target the best candidates for any position.
- AIP-X: Helping a firm develop and scale semi-automated call center application that can literally “sell” to customers that don’t know they are talking to a machine.
- MP-X: Helping a major mall retailer develop technology strategy and organization to avoid disruption form Amazon.
- BM-X: Providing guidance to universities developing new, applied, experiential technical curriculum with business and innovation context.
- 5G-X: Guiding telecom operators with AI and Data projects to deliver value from 5G rollouts.
- Tech-Transform-X: Transferring of university technology to a new venture or innovative firm.
- HM-X: Helping a major government tax service to use AI and data as part of the fraud detection capabilities of the agency.
- Berkeley Innovation Index A data-analytic approach to measuring innovation mindset and innovation culture inside companies.
- See over 100 Data-X Projects here
Sample Topics for Talks and Seminars:
- Engineering Innovation Workshop
- Data, AI and Systems for Business: What’s Next
- How to Enable Innovation and Entrepreneurial Culture in Large Organizations
- Innovation Tactics, Process, and Execution
- Data, AI, and Blockchain for Telecom and 5G Rollout
- How we teach Berkeley students to create Innovation and Ventures (BMoE)
On a day-to-day basis, I work with people at..
- Innovative Firms: Engineering leaders at Apple, Google, Samsung, Cisco, Applied Materials, Lam Research, Yahoo, Network Appliances, GM, Bosch, Qualcomm, PayPal, Broadcom, VMware, and many other leading firms.
- Organizations, Universities, and Governments: Includes Chile Engineering 2030, Onset Ventures, a leading Silicon Valley investment firm, Hong Kong (HKBU), the Government of New Zealand, the Lawrence Hall of Science, and the Jacobs Institute for Design at UC Berkeley.
- New Ventures: Undergraduate, Ph.D. students, and faculty colleagues at UC Berkeley and the global partner institutions of the College of Engineering.
A framework and technical course at UC Berkeley that teaches students to use foundational mathematical concepts and current computer science tools to create data-related applications and systems for real-world problems.
This program is the management track for Silicon Valley. The program builds upon the core technical skills of managers, engineers, and scientists; and provides breadth, strategy, market focus, operations, and communication skills for engineering leaders to be able to take larger roles within innovative companies.
Applied Innovation Institute:
I am a fellow of the Applied Innovation Institute in Singapore.
About Me: Ikhlaq Sidhu, UC Berkeley
- Chief Scientist and Faculty Director, UC Berkeley Sutardja Center (founding)
- IEOR Professor at UC Berkeley
- Developed Data-X, A framework for rapid impact with Data, ML, and Systems
- Co-creator, Berkeley Method of Entrepreneurship to develop innovation mindsets and behaviors.
- Created many UC Berkeley programs
- Invented seminal Internet communication technologies used at Skype, HP, US Robotics, IBM, and licensed to many others. HP – Laser Printer Design
- Granted 75 US Patents
- IEEE Major Innovation Award, 2018
- UC Berkeley IEOR Emerging Area Professor Award, 2009
- 3Com “Inventor of the Year” 1999
- Venture Advisor at Onset Ventures, X-Fund
- Advisor to many firms, executives, advisory boards, and non-profits
- All degrees: Electrical Engineering, BS to Ph.D.