Anand Rao

Distinguished Service Professor

Anand Rao is a Distinguished Services Professor of Applied Data Science and AI in the Heinz College of Information Systems and Public Policy at Carnegie Mellon University. He teaches Operationalizing AI, Responsible AI, Applications of LLM, and Agent-Based Models & Digital Twins.

Anand Rao has focused on research, innovation, applications, business and societal adoption of data, analytics, and artificial intelligence over his 35-year consulting, industry, and academic career. Anand was the Global Artificial Intelligence Leader for PwC, a Partner in their Data, Analytics, and AI practice, and the Innovation lead for AI in PwC’s Products and Technology segment. Anand led a team of practitioners who advised C-level executives, develop, and implement advanced analytics and AI-based solutions across several industry sectors including financial services, insurance, healthcare, technology-media-telecommunications, retail, aerospace, and defense sectors. With his PhD and research career in Artificial Intelligence and his subsequent experience in management consulting he brings business domain knowledge, software engineering expertise, statistical expertise, and modeling expertise to generate unique insights into the practice of ‘data science’ and artificial intelligence.

Prior to joining management consulting, Anand was the Chief Research Scientist at the Australian Artificial Intelligence Institute building agent-based models and simulation systems and conducting research in the theory and practice of multi-agent systems.

Anand’s current research interests include operationalizing AI, responsible AI, systems thinking, ROI of AI, theory and practice of building agent-based models and digital twins, behavioral economics, and human decision-making.

He received his PhD from University of Sydney (with a University Postgraduate Research Award-UPRA) in 1988 and an MBA (with Award of Distinction) from Melbourne Business School in 1997. Anand has also co-edited four books on Intelligent Agents and has published over fifty papers in Computer Science and Artificial Intelligence in major journals, conferences, and workshops. In addition, he has authored over hundred articles in the business and trade press.

He has received widespread recognition for his extraordinary contributions in the field of consulting and Artificial Intelligence Research. He has received the Most Influential Paper Award for the Decade in 2007 from the Autonomous Agents & Multi-Agent Systems organization for his contribution on the Belief-Desire-Intention Architecture; MBA Award of Distinction from Melbourne Business School, 1997 and University Postgraduate Research Award (UPRA) from University of Sydney, 1985; Distinguished Alumnus Award from Birla Institute of Technology and Science, Pilani, India; He was recognized as one of Top 50 Data & Analytics professionals in USA and Canada by Corinium; one of Top 50 professionals in InsureTech; one of Top 25 Technology Leaders in Consulting; Top AI Leaders of 2024 by Rethink Retail; and has won a number of awards for his academic and business papers.

Anand is a Venture Partner at Golden Sparrow, an early-stage VC fund and is also a Strategic Advisor at Innospark Ventures. He acts as an Advisor and Board member for Roots Automation and is the Advisory Chair of the Center for Data Science and Social Good at the Indian School of Development Management (ISDM). He is an Adjunct Professor in BITS Pilani’s APPCAIR AI Center. He also serves on the Advisory Board of Oxford University’s Institute for Ethics in AI, World Economic Forum’s Global AI Council, OECD’s Network of Experts on AI (ONE), OECD’s AI Compute initiative, Advisory Board of Northwestern’s MBAi program, Responsible AI Institute, Nordic AI Institute, and International Congress for the Governance of AI.

Publications

1. Recognized as one of the Top AI Leaders of 2024 in the Research and Academia Category by Rethink Retail;
2. Recognized as one of Top 50 Data & Analytics professionals in USA and Canada by Corinium;
3. Recognized as one of Top 50 Innovators of Data & Analytics professionals in USA and Canada by Corinium
4. Recognized as one of Top 50 professionals in InsureTech
5. Recognized as the Top 25 Technology Leaders in Consulting by Consulting Report
6. Recognized as The Enterprise CXO Leader of the year by CogX
7. Recognized as 50 Outstanding AI in Business Influencers by Engatica
8. Won the ASBPE Azbe Bronze Regional Award in the Technical Paper category for the paper on “It’s Time to get excited about boring AI”
9. Won the Marcomm Platinum award in 2022 for the paper “It’s Time to get excited about boring AI”
10. Won the National Silver Award by ASBPE for the Best Technical article in 2019 for the paper “How to build disruptive strategic flywheels”.
11. Won the National Gold Award by ASBPE for the Best Technical article in 2018 and the FOLIO editorial award for the paper “A Strategist’s Guide to Artificial Intelligence”
12. “Sizing the Prize” won the most quoted Consulting Thought Leadership Award
13. Distinguished Alumnus Award from BITS Pilani, India in 2018
14. Most Influential Paper Award for the Decade in 2007 from the Autonomous Agents & Multi-Agent Systems organization for his contribution on the Belief-Desire-Intention Architecture.
15. MBA Award of Distinction from Melbourne Business School, 1997
16. University Postgraduate Research Award (UPRA) from University of Sydney, 1985;
1. Mishra, Saurabh, Robert Koopman, Giuditta De Prato, Anand Rao, Israel Osorio-Rodarte, Julie Kim, Nikola Spatafora, Keith Strier, and Andrea Zaccaria. “AI Specialization for Pathways of Economic Diversification.” Scientific Reports 13, no. 1 (November 9, 2023). https://www.nature.com/articles/s41598-023-45723-x.
2. Gupta, P., Young, A.W., & Rao, A. (2022). Investigating Cargo Loss in Logistics Systems using Low-Cost Impact Sensors. ArXiv, abs/2201.00301.
3. Gupta, P., Hoda, S., & Rao, A. (2022). Intelligent Systematic Investment Agent: an ensemble of deep learning and evolutionary strategies. ArXiv, abs/2203.13125.
4. Singh, A., Chen, J., Zhang, L., Rasekh, A., Golbin, I., & Rao, A.S. (2021). Independent Ethical Assessment of Text Classification Models: A Hate Speech Detection Case Study. ArXiv, abs/2108.07627.
5. Mishra, S., Koopman, R., Prato, G.D., Rao, A.S., Osorio-Rodarte, I., Kim, J., Spatafora, N., Strier, K., & Zaccaria, A. (2021). AI Specialization for Pathways of Economic Diversification. ArXiv, abs/2103.11042.
6. Golbin, I., Rao, A.S., Hadjarian, A., & Krittman, D. (2020). Responsible AI: A Primer for the Legal Community. 2020 IEEE International Conference on Big Data (Big Data), 2121-2126.
7. Hoda, S., Singh, A., Rao, A.S., Ural, R., Hodson, N. (2020). Consumer Demand Modeling During COVID-19 Pandemic. 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
8. Gigioli, P., Sagar, N., Rao, A.S., & Voyles, J. (2018). Domain-Aware Abstractive Text Summarization for Medical Documents. 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 1155-1162.
9. Zhang, S., Dev, S., Voyles, J., and Rao, A.S. (2018). Attention-based Multi-Task Learning in Pharmacovigilance. 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
10. Dev, S., Zhang, S., Voyles, J., & Rao, A.S. (2017). Automated classification of adverse events in pharmacovigilance. BIBM.
11. Ramchandani, P., Paich, M., & Rao, A.S. (2017). Incorporating Learning into Decision Making in Agent Based Models. EPIA.
12. Rao, A.S., & Verweij, G. (2017). Sizing the prize: what’s the real value of AI for your business and how can you capitalise?
13. Campbell, J.P., Chan, M., Li, K., Lombardi, L.J., Lombardi, L., Purushotham, M., & Rao, A.S. (2014). Modeling of Policyholder Behavior for Life Insurance and Annuity Products.
14. Rao, A.S., & Georgeff, M. (1995). BDI Agents: From Theory to Practice. ICMAS.
15. Rao, A.S., & Georgeff, M. (1991). Modeling Rational Agents within a BDI-Architecture. KR.
16. Rao, A.S., & Georgeff, M. (1992). An Abstract Architecture for Rational Agents. KR.
17. Rao, A.S., & Georgeff, M. (1998). Decision Procedures for BDI Logics. J. Log. Comput., 8, 293-342.
18. Kinny, D., Georgeff, M., & Rao, A.S. (1996). A Methodology and Modelling Technique for Systems of BDI Agents. MAAMAW.
19. Rao, A.S. (1996). AgentSpeak(L): BDI Agents Speak Out in a Logical Computable Language. MAAMAW.
20. Ingrand, F., Georgeff, M., & Rao, A.S. (1992). An architecture for real-time reasoning and system control. IEEE Expert, 7, 34-44.
21. Rao, A.S., & Georgeff, M. (1991). Asymmetry Thesis and Side-Effect Problems in Linear-Time and Branching-Time Intention Logics. IJCAI.
22. Rao, A.S., & Georgeff, M. (1995). Formal Models and Decision Procedures for Multi-Agent Systems.
23. Kinny, D., Ljungberg, M., Rao, A.S., Sonenberg, L., Tidhar, G., & Werner, E. (1992). Planned Team Activity. MAAMAW.
24. Rao, A.S., Georgeff, M., & Sonenberg, L. (1992). Social Plans: A Preliminary Report.
25. Rao, A.S., & Georgeff, M. (1993). A Model-Theoretic Approach to the Verification of Situated Reasoning Systems. IJCAI.
26. Georgeff, M., & Rao, A.S. (1995). The Semantics of Intention Maintenance for Rational Agents. IJCAI.
27. Rao, A.S. (1994). Means-End Plan Recognition - Towards a Theory of Reactive Recognition. KR.
28. Weerasooriya, D., Rao, A.S., & Ramamohanarao, K. (1994). Design of a Concurrent Agent-Oriented Language. ECAI Workshop on Agent Theories, Architectures, and Languages.
29. Rao, A.S., & Georgeff, M. (1991). Deliberation and its Role in the Formation of Intentions. UAI.
30. Rao, A.S. (1995). Decision Procedures for Propositional Linear-Time Belief-Desire-Intention Logics. ATAL.
31. Cavedon, L., Rao, A.S., & Tidhar, G. (1996). Social and Individual Commitment. PRICAI Workshop on Intelligent Agent Systems.
32. Rao, A.S. (1997). A Unified View of Plans as Recipes.
33. Gigioli, P., Sagar, N., Voyles, J., & Rao, A.S. (2018). Domain-Aware Abstractive Text Summarization for Medical Documents. 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2338-2343.
34. Rao, A.S., & Foo, N. (1989). Formal Theories of Belief Revision. KR.
35. Zhang, S., Dev, S., Voyles, J., & Rao, A.S. (2018). Attention-Based Multi-Task Learning in Pharmacovigilance. 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2324-22328.
36. Cavedon, L., & Rao, A.S. (1996). Bringing About Rationality: Incorporating Plans Into a BDI Agent Architecture. PRICAI.
37. Rao, A.S., & Georgeff, M. (1991). Intelligent Real-Time Network Management.
38. Cavedon, L., Padgam, L., Rao, A.S., & Sonenbergy, E. (1995). Revisiting rationality for agents with intentions 1.
39. Rao, A.S., & Georgeff, M. (1993). A Model-Theoretic Approach to the Verification of Agent-Oriented Systems.
40. Foo, N., Garner, B., Rao, A.S., & Tsui, E. (1992). Semantic distance in conceptual graphs.
41. Rao, A.S., & Foo, N. (1989). Minimal Change and Maximal Coherence: A Basis for Belief Revision and Reasoning about Actions. IJCAI.
42. Tidhar, G., Sonenberg, L., & Rao, A.S. (1998). On team knowledge and common knowledge. Proceedings International Conference on Multi Agent Systems (Cat. No.98EX160), 301-308.
43. Foo, N., Rao, A.S., Taylor, A., & Walker, A. (1988). Deduced Relevant Types and Constructive Negation. ICLP/SLP.
44. Georgeff, M., & Rao, A.S. (1996). A profile of the Australian Artificial Intelligence Institute [World Impact]. IEEE Expert, 11, 89-.
45. Rao, A.S., & Georgeff, M. (1993). Intentions and Rational Commitment.
46. Crnogorac, L., Rao, A.S., & Ramamohanarao, K. (1998). Classifying Inheritance Mechanisms in Concurrent Object Oriented Programming. ECOOP.
47. Crnogorac, L., Rao, A.S., & Ramamohanarao, K. (1997). Analysis of Inheritance Mechanisms in Agent-Oriented Programming. IJCAI.
48. Bansal, A., Ramamohanarao, K., & Rao, A.S. (1997). Distributed Storage of Replicated Beliefs to Facilitate Recovery of Distributed Intelligent Agents. ATAL.
49. Rao, A.S., Georgeff, M., & Sonenberg, E. (1992). Social plans: a preliminary report (abstract). ACM Sigois Bulletin, 13, 10.
50. Rao, A.S. (1995). Integrated Agent Architecture: Execution and Recognition of Mental-States. DAI.
51. Rao, A.S. (1998). A Report on Expert Assistants at the Autonomous Agents Conference. Knowl. Eng. Rev., 13, 175-178.
52. Cavedon, L., Rao, A.S., Sonenberg, L., & Tidhar, G. (1997). Teamwork via Team Plans in Intelligent Autonomous Agent Systems. WWCA.
53. Crnogorac, L., Rao, A.S., & Ramamohanarao, K. (1997). Inheritance anomaly—a formal treatment.
54. Rao, A.S., Kinny, D., Tidhar, G., & Ljungberg, M. (1992). Skills and Capabilities in RealTime Team Formation.
55. Morley, D.N., Georgeff, M., & Rao, A.S. (1994). A Monotonic Formalism for Events and Systems of Events. J. Log. Comput., 4, 701-720.
56. Rao, A.S., & Georgeff, M. (1993). Verification of Agent-Oriented Situated Systems: A Model-Theoretic Approach.
57. Rao, A.S. (1993). Decision Procedures for Propositional Belief-Desire-Intention Logics.
58. Foo, N., & Rao, A.S. (2005). Belief revision in a microworld. Annals of Mathematics and Artificial Intelligence, 4, 135-155.
59. Foo, N., Garner, B., Rao, A.S., & Tsui, E. (1992). SEMANTIC DISTANCE IN CONCEPTUAL GRAPHS.
1. What is the future of content in the generative AI age?, Tech Effects, May 16, 2023
2. Companies that change the game can change the world, (with Sundar Subramanian and Harshavardan Kasturirangan), Strategy+Business, January 26, 2023.
3. The three powers that game changing companies share, (With Sundar Subramanian) The Leadership Agenda, PwC, 2023.
4. What are digital twins and How are they used to predict the future, (With Bret Greenstein) Techopedia, July 25, 2022.
5. 3 Ways Digital Twins can transform your business, Techopedia, April 1, 2022.
6. Six predictions for AI in 2022, Digital Pulse, February 1, 2022.
7. MVP vs EVP: Is it time to introduce ethics into the agile startup model?, TechCrunch, January 5, 2022. (also in TechBoyz and Newsbreak)
8. How organizations can mitigate the risks of AI, Harvard Business Review, December 20,2021
9. Six AI business predictions for 2022, Tech Effect, December 2, 2021.
10. 3 components CIO’s need to create an Ethical AI framework, Information Week, November 15, 2021
11. Building and Implementing Responsible AI: A Practical Guide, Enterprise AI, November 24, 2021
12. Operationalizing Artificial Intelligence: Making the Promise a Reality, October 27, 2021
13. Ethical underpinnings of AI – Interview, Medium, September 12, 2021
14. How a portfolio approach to AI helps your ROI, Tech Effect, September 9, 2021
15. AI TechTrend interview with Anand Rao, TechTrend, September 7, 2021
16. Solving AI’s ROI problem. It’s not that easy. PwC Tech Effect, July 20, 2021.
17. How AI can help create more caring company cultures, Quartz, July 13, 2021.
18. It's time to get excited about boring AI, Strategy + Business, June 24, 2021
19. Three systems thinking tools for exploring the distrust doom loop, Towards Data Science, June 6, 2021
20. Five types of thinking for a high-performing data scientist, Towards Data Science, April 25, 2021 (also appears in KDNuggets, June 2021)
21. Six stages to a successful AI Governance, Towards Data Science, February 21, 2021
22. How to avoid the extremes of anthropocentrism and AI centrism, Start it up, February 14, 2021
23. Gain trust by addressing the Responsible AI gaps, Towards Data Science, February 4, 2021
24. A new way to think about modeling for uncertain times, Towards Data Science, January 28, 2021
25. 3 Essential steps to exploit the power of AI, InformationWeek, January 22, 2021
26. AI leaders make the most of the COVID-19 crisis to increase the role of AI, Towards Data Science, January 18, 2021.
27. Top-down and end-to-end governance for the responsible use of AI, Towards Data Science, January 11, 2021.
28. Ten principles of Responsible AI for Corporates, Towards Data Science, December 17,2020
29. Responsible AI: A primer for the legal community in Legal AI 2020 : The Fourth Annual Workshop on Applications of Artificial Intelligence in the Legal Industry, as part of the IEEE International Conference on Big Data, December 2020.
30. Consumer demand modeling during COVID19 Pandemic. In the IEEE International Conference on Bioinformatics and Biomedicine (BIBM), December 2020.
31. Five views of AI Risk: Understanding the darker side of AI, Towards Data Science, November 28, 2020.
32. Time to combine agile programming and agile data science, Towards Data Science, November 6, 2020.
33. Five critical questions to explain Explainable AI, Towards Data Science, Oct 30, 2020
34. Balancing Innovation, Economics, and Regulation to increase Responsible AI adoption, The Innovation, Oct 25, 2020.
35. Ten human abilities and four intelligences to exploit human-centered AI, The Innovation, Oct 10, 2020.
36. Model Lifecycle: From ideas to value, Towards Data Science, Sep 26, 2020.
37. Data, Automation, Analytics, AI — The Unbeatable Quartet, The Innovation, Sep 17, 2020.
38. Model Evolution: From Standalone Models to Model Factory, Towards Data Science, Sep 13, 2020
39. Consequences of mistaking models for software, Towards Data Science, Sep 6, 2020.
40. Data Scientists are from Mars and Software Developers are from Venus (Part 1), Towards Data Science, August 29, 2020.
41. Democratization of AI: A Double-Edged Sword, Towards Data Science, August 16, 2020.
42. Making predictive analytics work in an uncertain world, Information Week, August 10, 2020.
43. 3 ways COVID-19 is transforming advanced analytics and AI, WEF, Agenda, July 23, 2020
44. Democratizing Artificial Intelligence is a Double-Edged Sword, Strategy+Business, June 15, 2020
45. Comprehensive AI Governance needed, PwC White Paper, May 2020.
46. Lessons from COVID-19 modeling: The interplay of data, models and behavior, WEF, Agenda, May 12, 2020
47. Using Behavioral Economics to Improve P/C Insurance Outcomes, Carrier Management, May 20, 2020
48. Managing the risks of machine learning and artificial intelligence models in the financial services industry, PwC White Paper, 2020
49. The New COO: Powering Operations with Artificial Intelligence, PwC White Paper, June 2020.
50. Comprehensive AI Governance Needed Now, PwC White Paper, March 2020.
51. Moving AI forward: Why you need to slow down now to scale later, Information Week, February 28, 2020.
52. This is what the world’s CEOs really think of AI, WEF Agenda, June 25, 2019.
53. Practical Guide to Responsible AI, PwC White Paper, 2019.
54. Strategy + Business: How to build powerful strategic flywheels - Gaming, artificial intelligence, and deep learning are paving the way for dynamic and resilient 21st-century business models
55. PwC White Paper: Gaining competitive advantage through Artificial Intelligence – Policy Making and National AI Strategies. April, 2019.
56. ITU News: How ‘responsible AI’ can boost sustainable development. April 17, 2019
57. Strategy + Business: What is fair when it comes to AI Bias? April 12, 2019
58. China Watch: Future in the Balance. April 3, 2019
59. Strategy + Business: Is AI the Next Frontier for National Competitive Advantage?. January 22, 2019.
60. Strategy + Business: Digital-Native Retailers Are Giving Physical Stores a Radical Makeover. January 18, 2019.
61. PwC: Six AI Priorities you cannot afford to ignore. January 5, 2019
62. BIBM18-IEEE Conference (Madrid): Attention-based multi-task learning in pharmacovigilance (with Shinan Zhang, Shantanu Dev, Joseph Voyles) (December 2018)
63. BIBM18-IEEE Conference (Madrid): Domain-aware abstractive text summarization in medical documents (with Paul Gigioli, Nikhita Sagar, Joseph Voyles) (December 2018)
64. CIO Review: Enterprise AI: How to Meet the Challenges (August 2018)
65. Digital Pulse: Opening the Blacbox with Explainable AI (August 2018)
66. PwC White Paper: Explainable AI: Driving Business Value Through Greater Understanding (July 2018)
67. Strategy + Business – The Future of AI depends on Trust (July 2018)
68. Integration and Trade Journal: Vol 22: No 44: July 2018: Planet Algorithm: Artificial Intelligence for a Predictive and Inclusive form of Integration in Latin America: Artificial Intelligence: Opportunities and Risks (July 2018)
69. Strategy + Business – How smarter phones will transform Tech, Media, and Telecom (June 2018)
70. PwC White Paper: The Smarter Phone (Mobile World Congress) (May 2018)
71. Next in Tech – PwC Blog: What it means to open AI’s Black Box (May 2018)
72. PwC White Paper: How do actuarial and data science skills converge at P&C (re-)insurers (Mar 2018)
73. PwC White Paper: How do actuarial and data science skills converge at Life (re-)insurers (Mar 2018)
74. PwC White Paper: The Macroeconomic Impact of AI (Feb 2018)
75. PwC White Paper: Fourth Industrial Revolution for the Earth (World Economic Forum) (Jan 2018)
76. PwC White Paper: AI Predictions 2018 (Jan 2018)
77. Next in Tech – PwC Blog: Briefing: Artificial Intelligence (Jan 2018)
78. Next in Tech – PwC Blog: Top 10 Ten AI Technology Trends for 2018 (Jan 2018/Dec 2017)
79. Demystifying Machine Learning Part 1: Data, Processing Power, and open source, Big Data Made Simple, Feb 9, 2016.
80. Demystifying Machine Learning Part 2: Supervised, Unsupervised, and Reinforcement Learning, Big Data Made Simple, February 15, 2016.
81. Do you need a Chief Data Scientist, Big Data Made Simple, July 22, 2016.
82. The deep learning robot that recognizes your face, Big Data Made Simple, Nov 15, 2016.
83. Time to dive in: Leveraging public data with a data lake, Big Data Made Simple, Nov 18, 2016
1. The Science (and Art) of Data, Part 1, Insurance Thought Leadership, April 16,2014
2. The Science (and Art) of Data, Part 2, Insurance Thought Leadership, April 24,2014
3. Two ways to innovate in Life Insurance, Insurance Thought Leadership, January 5, 2015
4. What comes after predictive analytics, Insurance Thought Leadership, February 10, 2015
5. Reinventing life insurance, Insurance Thought Leadership, April 15, 2015
6. The rise of robo-advisors, Insurance Thought Leadership, June 5, 2015
7. Insurance at a tipping point – Part 1, Insurance Thought Leadership, July 9, 2015
8. Insurance at a tipping point – Part 2, Insurance Thought Leadership, July 20, 2015
9. Insurance at a tipping point – Part 3, Insurance Thought Leadership, July 31, 2015
10. InsurTech: Golden Opportunity to Innovate, Insurance Thought Leadership, March 29, 2016
11. How to think about the rise of the machines, Insurance Thought Leadership, April 11, 2016
12. AI: Everywhere and Nowhere – Part 1, Insurance Thought Leadership, June 2, 2016
13. AI: Everywhere and Nowhere – Part 2, Insurance Thought Leadership, June 6, 2016
14. AI: Everywhere and Nowhere – Part 3, Insurance Thought Leadership, June 8, 2016
15. Why artificial intelligence won’t replace insurance agents, BigI Independent Agent, July 20, 2016.
16. Innovation solutions from elsewhere, Insurance Thought Leadership, March 27, 2017
17. Leveraging AI in Commercial Insurance, Insurance Thought Leadership, April 7, 2017
18. Strategist’s guide to AI, Insurance Thought Leadership, June 5, 2017
19. 10 Trends on Big Data, Advanced Analytics, Insurance Thought Leadership, October 4, 2017
20. How do actuarial, data skills converge, Insurance Thought Leadership, April 4, 2018
21. Insurance Innovators Interview Series, Carrier Management, June 8, 2015
22. Four types of Artificial Intelligence: How to decide which one to apply to commercial insurance, Carrier Management, March 27, 2018
23. Man and Machine: The future of insurance work and workforce, Carrier Management, March 31, 2017.
24. Using behavioral economics to improve P/C Insurance outcomes, Carrier Management, March 20, 2020.
25. AI in commercial insurance, Carrier Management, August 21, 2016
26. AI in personal insurance: ChatBot agents, RPA 'no shoring' admin bots and more, Carrier Management, August 3, 2016
27. PwC’s Anand Rao: We are only in 1984 in terms of the evolution of AI, Siliconrepublic, April 13, 2018.
28. Modeling of Policyholder Behavior for Life Insurance and Annuity Products: A Survey and Literature Review, Society of Actuaries, 2014
29. Behavioral Simulations Using agent-based modeling to understand policyholder behaviors, Society of Actuaries, October 1, 2012
30. What’s a data scientist? Where can I find one?. Digital Insurance, April 8, 2013
31. Adapting to a customer-centric world. Digital Insurance, February 28, 2013.
32. Claims on the move, CLM, August 26, 2010.
33. Ten tactics for improving operating margins in Tough Times, Diamond Management & Technology Consultants, 2009.

Additional Information

Articles
1. How different industries benefit from edge AI, George Lawton, TechTarget, June 22, 2023.
2. How to assess your AI projects’ ROI as recession hits, VentureBeat, Ben Dickson, December 23, 2022
3. Why the US risks falling behind in AI Leadership, John Edwards, InformationWeek, December 14, 2022
4. Artificial Intelligence – a strategy playbook for leaders, Scott Birch, Business Chief, September 8, 2022.
5. Artificial Intelligence to boost sustainability and profit, Becci Knowles, Sustainability, August 3, 2022
6. How to scale the power of AI simulation, Sharon Goldman, VentureBeat, May 4, 2022.
7. AiThority Interview with Dr. Anand Rao, Global AI Lead, Sudipto Ghosh, May 17, 2022
8. Artificial Intelligence – a strategy playbook for leaders, Scott Birch, September 8, 2022.
9. What you need to know about AI ethics, by John Edwards, February 18, 2022.
10. 10 top AI and Machine Learning trends for 2022, George Lawton, Feb 3, 2022.
11. Anand Rao appointed to the Virginia Thurston Healing Garden Support Center, Board of Trustees, The Sun, January 28, 2022.
12. Explainable AI: Global Analytics Summit examines efforts to understand how AI systems work and why that’s essential, by Texas McCombs News, Medium, Jan 6, 2022.
13. Data Science and AI Predictions for 2022, by Alex Woodie, Datanami, Jan 3, 2022.
14. 2022 Big Data Predictions from the Cloud by Alex Woodie, Datanami, Dec 23, 2021.
15. Big Data Industry Predictions for 2022 by Daniel Gutierrez, Inside BigData, Dec 15, 2021.
16. How RPA and machine learning work together in the enterprise by Lisa Morgan, TechTarget, Nov 4, 2021.
17. Why organizations need a Chief AI Officer to realize the promise of AI by Neha Pradhan Kulkarni, Oct 27, 2021.
18. Cognitive Computing vs AI: 3 Key differences and why they matter by Mary Ann Richardson, Sep 23, 2021.
19. The quest for end-to-end intelligent automation by Maria Korolov, May 13, 2021.
20. 6 reasons you may need data science as a service by Maria Korolov, TechTarget, Apr 8, 2021.
21. Decision intelligence software boosted by analytics, AI by Maria Korolov, TechTarget, Feb 3, 2021.
22. The impact of Artificial Intelligence is already here, it’s just not very evenly distributed, by Joe McKendrick, September 29, 2018.
23. PwC Chile launch Center of Artificial Intelligence and Applied Analytics for Latin America, Consultancy.lat, August 28, 2018.
24. Reality Check: How Smart is AI, Anyway? A look at AI applications, by Andrew Williams, Robotics Business Review, May 17, 2018.
25. PwC’s Anand Rao: ‘We are only in 1984 in terms of the evolution of AI’, by John Kennedy Silicon Republic, April 13, 2018.
26. VC firm invest heavily in AI, pushing the hype bubble bigger, Alex Woodie, Datanami, January 19, 2018.
27. PwC: AI will contribute $15.7 trillion to global economy by 2030, by Paul Hill, Neowin, June 29, 2017.
28. AI will add $15.7 trillion to the global economy, by Blomberg News, June 28, 2017.
29. China is betting big on AI – and here’s why it’s going to pay off, by Meng Jing, June 27, 2017.
30. AI drives better business decisions, by MIT Technology Review Insights, June 20, 2016.
31. The 4 percent rule no longer applies for most retirees, by Kelley Holland, April 22, 2015.
Videos
Podcasts
1. What’s next in tech for finance? Accelerate your AI Adoption, PwC’s Accounting Podcast, 2022
2. Embedding Responsible AI in Your Models and Your Team, Domino Data Lab, January 18, 2022.
3. AI: Ethical Underpinning of AI – Tomorrow’s Jobs Today, Spotify, March 20, 2021
4. AI in Enterprise, Spotify, May 17, 2021
5. PwC’s Tech While you Trek: Digital Reflection, Spotify, PwC, Nov 2020.
6. The one where Anand Rao talks to us about AI, Spotify, PwC Luxembourgh TechTalk, May 2019.
7. The one where Anand Rao talks to us about AI (pt 2), Spotify, PwC Luxembourgh TechTalk, June 2019
8. Autonomous Cars, The Modern Digital Enterprise, November 2016
9. Establishing a Responsible and Ethical AI framework in Your organization, DataTalk, July 2019
10. Digital transformation with Anand Rao, The Digital Pioneers Dialogue, July 2020
11. What’s next in tech for finance? Accelerate your AI Adoption, PwC’s Accounting Podcast, Dec 2020.
12. The One on Digital Reflection, Spotify, PwC Luxembourh TechTalk, April 6, 2021
13. Responsible AI Podcast – “It’s the right thing to do”, FiddlerAI, PlayerFM, May 19, 2021
- MBA, Melbourne Business School, Australia, 1997
- PhD, University of Sydney, Australia, 1988 (specializing in Artificial Intelligence)
- MSc(TECH), Birla Institute of Technology and Science, India, 1984 (specializing in Computer Science)