AI in Enterprise

As the Global Artificial Intelligence Lead and innovation lead within PwC’s Emerging Technology practice, Dr. Anand S. Rao is responsible for research and commercial relationships with academic institutions and start-ups, research, development and commercialization of innovative AI, big data and analytic techniques. With over 35 years of industry and consulting experience, he leads a team of practitioners who advise C-level executives and implement advanced analytics and AI-based solutions on a variety of strategic, operational, and ethical use cases. Drawing from his PhD and research career in AI, as well as his subsequent experience in management consulting, Anand's session will explore the concept of "agile AI" and how to incorporate it into the enterprise responsibly.

In this session of AI in Enterprise, we hear from Jesse Arundell about how Australia’s largest financial services institution is accelerating its adoption of new and emerging technologies (e.g. AI, RegTech, DLT, 5G, Quantum Computing) through active experimentation with its technology partners, investments in new deep technology start-ups, and the creation of new software and algorithms. He shares what his team does, how they work and what they are currently focused on.

Whether you build your own ML models or grab an off-the-shelf AI solution from a startup, your team can integrate machine learning into your business today. In the March session of AI in Enterprise, Allie K. Miller discussed five common strategies that enterprise decision-makers take, along with the decision tree of internal team resources, external team resources, skillsets, budgets, and delivery time. \n\nAllie has worked in three of the most critical areas of AI—conversational, computer vision, and data. She is the Global Head of Machine Learning Business Development for Startups and Venture Capital at Amazon (AWS). Allie was named as AIconic’s 2019 \"AI Innovator of the Year\", LinkedIn Top Voice for Technology and AI 2019 and 2020, Award Magazine’s Top 50 Women in Tech and Top 100 Global Thought Leaders, ReadWrite’s Top 20 AI Speakers in the World, Data Salon’s Top 25 Data Science influencers in the world, and Neptune’s Top 20 AI Influencers. Prior to joining Amazon, Allie was Lead Product Manager at IBM Watson where she led a team of 30 engineers to build IBM\'s first-ever trained multi-modal AI system and built core artificial intelligence vision technology for start-ups to Fortune 50 clients for use cases as diverse as photo analysis, inspections, insurance, fraud detection, and media tracking.

In this session of AI in Enterprise Mohamed El-Geish (Director of AI, Cisco) discussed with guest moderator Doug Levin (Executive-in-Residence at Harvard Business School) the role of AI in customer experience, including speech recognition, natural language processing, virtual assistants, forecasting, computer vision, etc. and their applications in the enterprise. As the 2020s unfold, profound changes are occurring in the business world. The "AI in Enterprise" podcast is adapting to address the new challenges facing enterprises pursuing artificial intelligence and machine learning solutions. These one-hour talks provide insights into how enterprise firms are thinking critically and strategically about AI/ML integration. Each month, the "AI in Enterprise" podcast aims to provide executives and senior management with an enterprise-focused forum for understanding artificial intelligence. Drawing on the Laboratory for Innovation Science at Harvard's extensive experience over the past decade running programs that develop algorithm and AI-based solutions with partners across industries—as well as subject matter expertise from Harvard Business School faculty and partners — each episode will delve into the strategies that enterprises need to successfully integrate AI solutions. For more information, go to lish.harvard.edu/ai-enterprise

In this session, Greg Woolf (FiVerity) and Saroop Bharwani (Senso.ai) discuss with guest moderator Sara Fleiss (Senior Lecturer in Finance at Harvard Business School) how machine learning is transforming FinTech, the reasons their enterprise customers are adopting their AI/ML, and their thoughts on the technology and business road that lies ahead. As the 2020s unfold, profound changes are occurring in the business world. The "AI in Enterprise" podcast is adapting to address the new challenges facing enterprises pursuing artificial intelligence and machine learning solutions. These one-hour talks provide insights into how enterprise firms are thinking critically and strategically about AI/ML integration. Each month, the "AI in Enterprise" podcast aims to provide executives and senior management with an enterprise-focused forum for understanding artificial intelligence. Drawing on the Laboratory for Innovation Science at Harvard's extensive experience over the past decade running programs that develop algorithm and AI-based solutions with partners across industries—as well as subject matter expertise from Harvard Business School faculty and partners — each episode will delve into the strategies that enterprises need to successfully integrate AI solutions. For more information, go to lish.harvard.edu/ai-enterprise

As a strategy and product leader for data-driven businesses, Caroline Sherman consults and advises on how to identify and launch new products and revenue lines, as well as build the teams to deliver them in rapidly changing environments. Drawing on her experience in fintech companies (including Quantopian and InsightSquared), the U.S. Department of Treasury, and Goldman Sachs, she has identified what businesses need in order to implement successful data and AI initiatives. In the final AI in Enterprise event of the year, Prof. Karim Lakhani sat down with Caroline Sherman to explore how examining and defining the intent of using AI in your enterprise is critical for both strategic and tactical AI/ML initiatives. As 2020 unfolds, profound changes are occurring in the business world. The "AI in Enterprise" podcast is adapting to address the new challenges facing enterprises pursuing artificial intelligence and machine learning solutions. These one-hour talks provide insights into how enterprise firms are thinking critically and strategically about AI/ML integration. Each month, the "AI in Enterprise" podcast aims to provide executives and senior management with an enterprise-focused forum for understanding artificial intelligence. Drawing on the Laboratory for Innovation Science at Harvard's extensive experience over the past decade running programs that develop algorithm and AI-based solutions with partners across industries—as well as subject matter expertise from Harvard Business School faculty and partners — each episode will delve into the strategies that enterprises need to successfully integrate AI solutions. For more information, go to lish.harvard.edu/ai-enterprise

As 2020 unfolds, profound changes are occurring in the business world. The "AI in Enterprise" podcast is adapting to address the new challenges facing enterprises pursuing artificial intelligence and machine learning solutions. These one-hour talks provide insights into how enterprise firms are thinking critically and strategically about AI/ML integration. Each month, the "AI in Enterprise" podcast aims to provide executives and senior management with an enterprise-focused forum for understanding artificial intelligence. Drawing on the Laboratory for Innovation Science at Harvard's extensive experience over the past decade running programs that develop algorithm and AI-based solutions with partners across industries—as well as subject matter expertise from Harvard Business School faculty and partners — each episode will delve into the strategies that enterprises need to successfully integrate AI solutions. For more information, go to lish.harvard.edu/ai-enterprise

As 2020 unfolds, profound changes are occurring in the business world. The "AI in Enterprise" podcast is adapting to address the new challenges facing enterprises pursuing artificial intelligence and machine learning solutions. These one-hour talks provide insights into how enterprise firms are thinking critically and strategically about AI/ML integration. Each month, the "AI in Enterprise" podcast aims to provide executives and senior management with an enterprise-focused forum for understanding artificial intelligence. Drawing on the Laboratory for Innovation Science at Harvard's extensive experience over the past decade running programs that develop algorithm and AI-based solutions with partners across industries—as well as subject matter expertise from Harvard Business School faculty and partners — each episode will delve into the strategies that enterprises need to successfully integrate AI solutions. For more information, go to lish.harvard.edu/ai-enterprise

As 2020 unfolds, profound changes are occurring in the business world. The "AI in Enterprise" podcast is adapting to address the new challenges facing enterprises pursuing artificial intelligence and machine learning solutions. These one-hour talks provide insights into how enterprise firms are thinking critically and strategically about AI/ML integration. Each month, the "AI in Enterprise" podcast aims to provide executives and senior management with an enterprise-focused forum for understanding artificial intelligence. Drawing on the Laboratory for Innovation Science at Harvard's extensive experience over the past decade running programs that develop algorithm and AI-based solutions with partners across industries—as well as subject matter expertise from Harvard Business School faculty and partners — each episode will delve into the strategies that enterprises need to successfully integrate AI solutions. For more information, go to lish.harvard.edu/ai-enterprise

As 2020 unfolds, profound changes are occurring in the business world. The "AI in Enterprise" podcast is adapting to address the new challenges facing enterprises pursuing artificial intelligence and machine learning solutions. These one-hour talks provide insights into how enterprise firms are thinking critically and strategically about AI/ML integration. Each month, the "AI in Enterprise" podcast aims to provide executives and senior management with an enterprise-focused forum for understanding artificial intelligence. Drawing on the Laboratory for Innovation Science at Harvard's extensive experience over the past decade running programs that develop algorithm and AI-based solutions with partners across industries—as well as subject matter expertise from Harvard Business School faculty and partners— each episode will delve into the strategies that enterprises need to successfully integrate AI solutions. For more information, go to lish.harvard.edu/ai-enterprise

As 2020 unfolds, profound changes are occurring in the business world. The "AI in Enterprise" podcast is adapting to address the new challenges facing enterprises pursuing artificial intelligence and machine learning solutions. These one-hour talks provide insights into how enterprise firms are thinking critically and strategically about AI/ML integration. Each month, the "AI in Enterprise" podcast aims to provide executives and senior management with an enterprise-focused forum for understanding artificial intelligence. Drawing on the Laboratory for Innovation Science at Harvard's extensive experience over the past decade running programs that develop algorithm and AI-based solutions with partners across industries—as well as subject matter expertise from Harvard Business School faculty and partners— each episode will delve into the strategies that enterprises need to successfully integrate AI solutions. For more information, go to https://lish.harvard.edu/ai-enterprise

As 2020 unfolds, profound changes are occurring in the business world. The "AI in Enterprise" podcast is adapting to address the new challenges facing enterprises pursuing artificial intelligence and machine learning solutions. These one-hour talks provide insights into how enterprise firms are thinking critically and strategically about AI/ML integration. Each month, the "AI in Enterprise" podcast aims to provide executives and senior management with an enterprise-focused forum for understanding artificial intelligence. Drawing on the Laboratory for Innovation Science at Harvard's extensive experience over the past decade running programs that develop algorithm and AI-based solutions with partners across industries—as well as subject matter expertise from Harvard Business School faculty and partners— each episode will delve into the strategies that enterprises need to successfully integrate AI solutions.