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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. 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
  2. 2. Ikhlaq Sidhu, content author What is happening at Sutardja Center (SCET)?
  3. 3. Ikhlaq Sidhu, content author Answer #1: Lots of students and activity Undergraduate: Over 1500 Graduate: Over 100 Executive: Over 100 Global Partners – Now 10
  4. 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
  5. 5. Ikhlaq Sidhu, content author Answer #3: And a lot more.. Actually, we have lost track..
  6. 6. Ikhlaq Sidhu, content author Our newest Course IEOR 135 Applied Data Science (Data-X)
  7. 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…
  8. 8. Ikhlaq Sidhu, content author The Data-X System View: It’s more than ML Web Scrape Possible Input Code Blocks Download Crawl … Stream or Poll Social Net / IoT Application with Automated Decisions Algorithm Options w/ Tables/Matrix Prediction / Classification Test, train, split Keep state Pandas: Short Term Storage Long Term Storage: SQL and File Formats (JSON, CSV, Excel) Web Possible Output Code Blocks Email Control Decision … Chatbot Feedback from External System (World) Pre- process Natural Languag e, State Features Blockchain (public ledger or crypto-lock)APIs, Services APIs, Services ML
  9. 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. 10. Ikhlaq Sidhu, content author Data, AI, and Business Models
  11. 11. Ikhlaq Sidhu, content author The two key components of a business are resources (assets) and information (data) = + Less value over time More value Over time Information and automated decisions If you buy data, then everyone else has it also.
  12. 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
  13. 13. Ikhlaq Sidhu, content author Harrah’s Casino: Knowing your customer Service provider of Gambling and Casinos Entry Card Pain points Intervention Reference: Supercrunchers Example
  14. 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. 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
  16. 16. Ikhlaq Sidhu, content author University Researcher Perspective
  17. 17. Ikhlaq Sidhu, content author Misconception Work in Lab for 5 years Show World They Love it And adopt it
  18. 18. Ikhlaq Sidhu, content author Misconception Work in Lab for 5 years Show World They Love it And adopt it Instead: Invite World (Industry) to collaborate with you Let them tell you where the industry will be in 5 years Intersect with their roadmap in 2-3 years They Love it And adopt it a) And train yourself and your students to have the corresponding mindsets and behaviors during the journey b) work on deployment and effectiveness first
  19. 19. Ikhlaq Sidhu, content author Company, Government, or Project Perspective
  20. 20. Ikhlaq Sidhu, content author Steve Blank Operational Metrics to scale Completed Ecosystem Sales Process Business Model Engaging Story Insight Sidhu / Berkeley Method Technology Readiness Level Developed at NASA
  21. 21. Ikhlaq Sidhu, content author Proposed by Steve Blank Operational Metrics to scale Completed Ecosystem Sales Process Business Model Engaging Story Insight Version: Berkeley Method, Adapted from Steve Blank Technology Readiness Level
  22. 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
  23. 23. Ikhlaq Sidhu, content author What if the project is a Transformation or Business Model Change: Adding, Letting Go, and Change Management X Dimension A Dimension B Company or Project: today Company or Project: Next Path Z
  24. 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. 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. 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.
  27. 27. Ikhlaq Sidhu, content author Contact: Ikhlaq Sidhu Chief Scientist & Founding Director, Center for Entrepreneurship & Technology Faculty Director, Engineering Leadership Professional Program (ELPP) IEOR Emerging Area Professor, UC Berkeley sidhu@berkeley.edu scet.berkeley.edu

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