With a background in building enterprise platforms for organizations, including Oracle and Walmart, Wayfair CTO Fiona Tan oversees all of the technology initiatives for the Boston-based e-commerce company. As the home furnishings retailer begins to open brick-and-mortar stores, it's taking lessons learned from the digital space to inform how it markets its home products to customers in physical locations. On this episode of the Me, Myself, and AI podcast, Fiona joins Sam Ransbotham and Shervin Khodabandeh to discuss how artificial intelligence fuels nearly everything the retailer does, from ad purchasing to product pricing, and where human decision makers fit in. She also describes how AI enables Wayfair's marketing automation technology, as well as some innovative new programs underway to help customers experience the company's products virtually. Fiona Tan is the chief technology officer at Wayfair, where she oversees a global innovation team responsible for creating market-leading experiences through the home furnishings retailer's world-class e-commerce platform. Before joining Wayfair, Tan served as senior vice president of U.S. technology at Walmart, where she was responsible for innovation and engineering execution spanning its site, mobile app, and all associate and merchant-facing technology across its e-commerce business and retail stores in the United States. If you're enjoying the Me, Myself, and AI podcast, continue the conversation with us on LinkedIn. Read more about our show and follow along with the series at https://sloanreview.mit.edu/aipodcast. Give your feedback in this two-question survey.

As chief data officer of payroll and benefits management company ADP, Jack Berkowitz has three primary responsibilities. One is to oversee the organization's data overall, ensuring that functions like data governance, security, and analytics, are running well. Another is to build ADP's data products, such as people analytics and benchmark tools. But the responsibility that's of most interest to Me, Myself, and AI hosts Sam Ransbotham and Shervin Khodabandeh is Jack's oversight of the organization's use of artificial intelligence. In this episode of the podcast, Jack describes how focusing on the outcomes the organization wants to achieve leads to better processes and results. He also dives into the topic of AI ethics and outlines how other organizations might consider assembling an AI ethics board. Jack Berkowitz is chief data officer at ADP, where he leads the company's data security and governance, data platforms, and analytics/machine learning operations. His role also involves partnering with stakeholders to develop new data initiatives to improve clients' experience and ADP's competitive position. Berkowitz joined ADP in 2018 as the senior vice president of product development for the DataCloud people analytics and compensation benchmarking solution.

Over the course of her nine-year tenure at LinkedIn, Ya Xu has held technology roles with increasing responsibility. Today, she heads the data function for the online professional networking platform. Ya Xu has been a driving force in transforming LinkedIn into a data-first company since she first joined the organization in 2013. As head of data, she leads a global team of about 1,000 data scientists and AI engineers whose work is at the core of delivering economic opportunities to LinkedIn's members and customers. Xu's emphasis on responsible AI and data science ensures that LinkedIn's AI systems put people first and enables the company to empower its members, better serve its customers, and benefit society. In addition to her work at LinkedIn, Xu has coauthored the book Trustworthy Online Controlled Experiments (Cambridge University Press, 2020), has been named to Fortune's 40 under 40 in tech, and was nominated for VentureBeat's Women in AI Awards. She has delivered countless speeches, including a commencement speech to Stanford's class of 2019 in mathematics, statistics, and mathematical and computational science. Previously, Xu worked at Microsoft and earned a Ph.D. in statistics from Stanford University. Ya joins hosts Sam Ransbotham and Shervin Khodabandeh in this episode of the Me, Myself, and AI podcast, where she discusses AI's essential role in helping LinkedIn create the best "matches" -- content creators with content consumers, job seekers with employers, and buyers with sellers -- within its three key marketplaces. Ya also describes how the company has fostered a data-first culture from the top down, and how its vast amount of economic activity data is helping governments and policy makers worldwide.

Consumers have invited AI into their lives with voice-activated personal assistants like Siri and Alexa, but how do they feel about computer vision technologies that can provide visual coaching and feedback in their homes? Sanjay Nichani, vice president of artificial intelligence and computer vision at Peloton Interactive, describes one compelling use case in the at-home fitness space. Sanjay Nichani is vice president of artificial intelligence and computer vision at Peloton Interactive. In that role, he leads an AI/computer vision team focused on human pose estimation, activity recognition, and movement-tracking technologies for the fitness domain. He also leads the ongoing development of Peloton Guide, a new camera-based interactive strength-training product. Previously, Nichani was vice president of the computer vision and machine learning team at Acuant, working on document forensics technologies for detecting fraud. Before that, he was vice president of the Mitek Labs R&D group, where he led the development of a deep learning-based image-processing pipeline for identity verification. He also founded 3D sensor technology company Merakona and cofounded Pelfunc, developer of a photo-sharing app/service. He has advanced degrees in business from Babson College and computer science from the University of South Florida.

Stanley Black & Decker is best known as the manufacturer of tools for home improvement projects, but it also makes products the average consumer seldom notices, like fasteners to keep car parts secure and the electronic doors typically used at retail stores. Me, Myself, and AI podcast hosts Sam Ransbotham and Shervin Khodabandeh sat down with Mark Maybury, the company's first chief technology officer, to learn how artificial intelligence factors into this 179-year-old brand's story. As Stanley Black & Decker's CTO, Mark Maybury manages a team across the company's businesses and functions, advises on technological threats and opportunities, and provides access to all elements of the global technology ecosystem. Previously, Maybury spent 27 years at The Mitre Corporation, where he held a variety of strategic technology roles, including vice president of intelligence portfolios and chief security officer. Before joining Mitre, he was an officer in the U.S. Air Force, where he also served as chief scientist from 2010 to 2013. Maybury is on the Defense Science Board and the Connecticut Science Center Board and served on the Air Force Scientific Advisory Board and the Homeland Security Science and Technology Advisory Committee for several years. He is a fellow in IEEE and the Association for the Advancement of Artificial Intelligence. Maybury has a doctorate degree in AI from Cambridge University. During their conversation, Mark described how categorizing the technology-infused innovation projects he leads across the company into six levels, ranging from incremental improvements to radical innovations, helps Stanley Black & Decker balance its product development portfolio. He also shared some insights for organizations thinking about responsible AI guidelines and discussed how Stanley Black & Decker is increasing its focus on sustainability. If you're enjoying the Me, Myself, and AI podcast, continue the conversation with us on LinkedIn.

Kay Firth-Butterfield was teaching AI, ethics, law, and international relations when a chance meeting on an airplane landed her a job as chief AI ethics officer. In 2017, Kay became head of AI and machine learning at the World Economic Forum, where her team develops tools and on-the-ground programs to improve AI understanding and governance across the globe. Your reviews are essential to the success of Me, Myself, and AI. For a limited time, we're offering a free download of MIT SMR's best articles on artificial intelligence to listeners who review the show. Send a screenshot of your review to smrfeedback@mit.edu to receive the download. Kay Firth-Butterfield is head of AI and machine learning and a member of the executive committee of the World Economic Forum. In the United Kingdom, she is a barrister with Doughty Street Chambers and has worked as a mediator, arbitrator, part-time judge, business owner, and professor. She is vice chair of the IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems and serves on the Polaris Council of the U.S. Government Accountability Office advising on AI. In the final episode of the first season of the Me, Myself, and AI podcast, Kay joins cohosts Sam Ransbotham and Shervin Khodabandeh to discuss the democratization of AI, the values of good governance and ethics in technology, and the importance of having people understand the technology across their organizations -- and society.

Arti Zeighami's interest in artificial intelligence started when he read science fiction as a teen. Yet as head of advanced analytics and AI for global retailer H&M Group, his leadership style focuses on reality: first building a business case and a proof of concept, and then undergoing an agile process of iteration and scaling, failure and success, measurement and improvement. Your reviews are essential to the success of Me, Myself, and AI. For a limited time, we're offering a free download of MIT SMR's best articles on artificial intelligence to listeners who review the show. Send a screenshot of your review to smrfeedback@mit.edu to receive the download. Arti Zeighami is a senior executive and a business leader at H&M Group. As chief data and analytics officer, he is responsible for all AI, analytics, and data capabilities across all of the company's brands. He has coined the term amplified intelligence -- where humans and machines work together -- and in this episode shares stories and practical tips on how teams can get started and scale successfully. Read more about our show and follow along with the series.

As vice president of innovation at logistics company DHL, Gina Chung oversees a 28,000-square-foot innovation facility in Chicago. Fascinated with supply chains since college ("I think it's something to do with the fact that I'm from New Zealand and grew up in a pretty isolated part of the world," she explains), she spearheads AI and robotics projects focused on front-line operations -- like automated pallet inspection and stacking, delivery route optimization, and aircraft utilization. Your reviews are essential to the success of Me, Myself, and AI. For a limited time, we're offering a free download of MIT SMR's best articles on artificial intelligence to listeners who review the show. Send your review screenshot to smrfeedback@mit.edu to receive the download. Gina Chung is vice president, Innovation Americas, at DHL, where she is responsible for DHL's Americas Innovation Center, a purpose-built platform to engage customers, startups, and industries on the future of logistics. She manages a portfolio of projects focused on the rapid testing and adoption of technologies such as collaborative robotics and artificial intelligence across logistics operations. Gina notes that "the first day for AI is the worst day": The technology improves with human input over time, achieving accuracy to a level where people trust and embrace it. She describes how success requires closely collaborating with key stakeholders, integrating change management, bringing teams along when introducing new technology, and designing solutions with the end user in mind.

At some DHL shipping centers, artificial intelligence now helps employees make sure pallets will load safely into cargo planes. A computer vision system captures each pallet, and an algorithm judges whether it can be stacked with other pallets or may be too awkward to fit on the next flight. DHL is one of a growing number of companies using AI. Besides the pallet scanning system, AI helps route deliveries, control robots that ferry packages around warehouses, and control an experimental robot arm that picks and sorts parcels. DHL is also among a small minority of companies using AI--just 11 percent--that say they've reaped a significant return on investment from using the technology, according to a new report.

At some DHL shipping centers, artificial intelligence now helps employees make sure pallets will load safely into cargo planes. A computer vision system captures each pallet, and an algorithm judges whether it can be stacked with other pallets or may be too awkward to fit on the next flight. DHL is one of a growing number of companies using AI. Besides the pallet scanning system, AI helps route deliveries, control robots that ferry packages around warehouses, and control an experimental robot arm that picks and sorts parcels. DHL is also among a small minority of companies using AI--just 11 percent--that say they've reaped a significant return on investment from using the technology, according to a new report.