Sidhu Philippines Inclusive Innovation with AI and Data
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Introduction of Data-X, teaching methods, data-business models, and how AI changes many things.
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Sidhu Philippines Inclusive Innovation with AI and Data
- 1. Ikhlaq Sidhu, content author Ikhlaq Sidhu Founding Faculty Director Sutardja Center for Entrepreneurship & Technology Department of Industrial Engineering & Operations Research IEOR Emerging Area Professor Award Innovation & Entrepreneurship and AI
- 4. Ikhlaq Sidhu, content author Answer# 2: Many News Stories about our Curriculum 5/27/2017 Meat substitutes are on the curriculum at UC Berkeley - San Francisco Chronicle http://www.sfchronicle.com/business/article/Meat-substitutes-are-on-the-curriculum-at-UC-10881462.php 1/5 By Jonathan Kauffman | January 24, 2017 | Updated: January 25, 2017 2:44pm 0 Meat substitutes are on the curriculum at UC Berkeley Biz & Tech IMAGE 1 OF 4 Ricardo San Martin, a chemical engineering professor, leads the Challenge Lab researching meat substitutes. Photo: Scott Strazzante, The Chronicle 5/27/2017 Meat substitutes are on the curriculum at UC Berkeley - San Francisco Ch Banking Un Course - Stu Singapore Most UC Berkeley students will tell you that they’re shooting for an A. But the 45 young men and women packing a Barrows Hall classroom this Monday were pursuing more ambitious goals: saving the world, and perhaps winning $5,000 in the process. The students are enrolled in a four-credit Challenge Lab at the Sutardja Center for Entrepreneurship & Technology, a practicum that pits teams against one another to develop the most innovative plant-based meat. At the lab’s second gathering, there were no Tofurky samples on hand. Instead, Christie Lagally, a senior scientist with the Go the students a PowerPoint crash course on the reasons the world needs m “Factory farming allows us to have an affluence of meat,” she told them, several dozen charts illustrating the downside of our omnivorous appetit figures, animal agriculture produces up to 24 percent of greenhouse gase About 7 Stories about our plant based meat focus area including Vice Magazine and SF Chronicle
- 7. Ikhlaq Sidhu, content author Sample Project from the First Data-X Course • Detection of fake news • Prediction of long-term energy prices to solve am Wall Street problem • Prediction applications stock market, sports betting, and more • AI for Crime detection, traffic guidance, medical diagnostics, .. etc • A version of Zillow that is recalculated with the effects of AirBnB income • and many more…
- 9. Ikhlaq Sidhu, content author We are developing a large-scale, holistic, data-related skill base • The Data-X Project is program and open course model • Offers deep skills, the powerful open source CS tools, and the real-life applications • Ready to scale and include more stakeholders
- 10. Ikhlaq Sidhu, content author Data, AI, and Business Models
- 12. Ikhlaq Sidhu, content author Real-life Example: ZestCash • “All data is credit data” Online Loan Application Name: JOE SMITH Online Loan Application Name: Joe Smith The data says: greater credit risk! The data says: lesser credit risk! Reference: Shomit Ghose Example: Data and Information is a competitive advantage
- 14. Ikhlaq Sidhu, content author 1. Knowing your customer, better targeting and relationship. E.g. Target, Disney, Netflix 2. Improving physical product or servicer with complimentary information: E.g. UPS, FedEx 3. Data-driven reliability or security E.g. GE, BMW, Siemens 4. Information Brokers, Arbitrage, and Trading Opportunities: E.g. Investment funds. 5. Improving the customer journey/experience.. E.g. Harrah’s 6. Functional Applications: HR/Hiring, Operations etc.. Eg Walmart, Baseball, Sports 7. Efficiency or better performance per dollar cost. E.G. General IT, SAP, etc 8. Risk Management, regulation, and compliance Eg. Compliance 360 Top 8 Business Models Using Data & AI
- 15. Ikhlaq Sidhu, content author Top Business Models for Using Data 1. Knowing your customer, leading to better targeting and relationship. E.g. Target, Disney 2. Information based better services. E.g. UPS, FedEx 3. Data driven reliability. E.g. GE and Siemens 4. Information Brokers, Arbitrage, and Trading Opportunities: Investment funds. 5. Improving the customer journey/experience.. E.g. Harrahs 6. Functional Applications: HR/Hiring, Operations etc.. 7. Efficiency or Better Performance per dollar cost 8. Risk Management, regulation, and compliance Usage Models • Efficiency (save money) • Wallet Share (top customers spend more time and money with you) • Brand alignment (It reinforces how people think positively about the company) Value to Business Customers More Value
- 19. Ikhlaq Sidhu, content author Company, Government, or Project Perspective
- 22. Ikhlaq Sidhu, content author Identify the Stage of Your Project Technical Readiness System Test, Launch, Ops System/Subsystem Demonstration Development Progress Feasibility Research Insight Story & Value Validation Business Model Sales Process Complete Ecosystem Operational Metrics Business Investment Readiness X Y Z
- 24. Ikhlaq Sidhu, content author What if the project is a Transformation or Business Model Change: Adding, Letting Go, and Change Management Dimension A Dimension B Company or Project: today Company or Project: Next Path ? A. What do you need to acquire or learn? B. What do you need to let go? C. First principle: You can’t be happy where you are. D. Its like getting a new degree part time, while you still work at the last job.
- 25. Ikhlaq Sidhu, content author Advice for Getting Started • Don’t boil the ocean. – Pick one or a few test projects – Be strategic: use SWOT, Disrupt Self, and Data Biz Model methods • Develop the Narratives for Value Creation and Strategy – Validate internally and externally • Skills in leadership and technology are limitations – High end consulting does not help • Start with small experiments and verify that they are working – Understand the innovation / learning process Brand vs Wallet Share
- 26. Ikhlaq Sidhu, content author Data and AI Effects Everything We Know Every Business: Will be deconstructed by Data, AI, and Automated Decisions Society: Danger of even larger gap between the highly skilled and the less skilled Government: Must adapt to a new level of transparency and efficiency or face trouble from their people People: Will change their behaviors (like cell phone to the power 10). Work life balance, social structure, and hybrid human machine.