Panel Members

Jed Dougherty is the Vice President of Platform Strategy at Dataiku, where he serves as a strategic technical advisor to customers and prospects. In this role, Jed collaborates closely with Engineering and Product teams to ensure that all technical platform requests are properly followed, scoped, and implemented. He plays a pivotal role in aligning customer needs with Dataiku's product development, facilitating seamless integration and innovation within the platform.

With a strong background in data science and analytics, Jed has been instrumental in helping organizations leverage Dataiku's capabilities to drive business value. His expertise bridges the gap between client requirements and technical solutions, enabling clients to maximize the potential of their data initiatives.

Prior to his current role at Dataiku, Jed gained extensive experience in technology strategy and platform development. His deep understanding of platform strategy and customer engagement makes him a valuable asset in shaping the direction of Dataiku's offerings. Jed is known for his collaborative approach and results-oriented leadership style, which have significantly contributed to the company's success in the data science community.

Thomas Robinson is the Chief Operating Officer at Domino Data Lab, where he plays a pivotal role in fostering a culture of excellence centered on product innovation and customer focus. With a broad business background that spans software engineering teams, go-to-market strategies, and people operations, Thomas brings a wealth of experience to his leadership role at Domino.

Prior to joining Domino Data Lab, Thomas worked at Bridgewater Associates, one of the world's largest hedge funds. There, he held both technical and people operations roles, collaborating closely with the future co-founders of Domino Data Lab. His diverse experience at Bridgewater allowed him to develop a unique blend of technical expertise and leadership skills.

At Domino Data Lab, Thomas leverages his extensive background to drive organizational growth and operational efficiency. He is instrumental in aligning cross-functional teams to deliver cutting-edge data science solutions that meet the evolving needs of clients. Under his leadership, the company continues to strengthen its position as a leader in the data science platform industry.

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Dan Shiebler is the Head of Machine Learning at Abnormal Security, where he leads a team of over 40 detection engineers developing AI systems to combat cybercrime. His team deploys probabilistic models over real-time aggregates, neural network and tree-based classifiers over tabular data, and large language models over raw data. Under his leadership, Abnormal Security has built the world's most advanced messaging cyberattack detection system, protecting many of the world's largest companies.

Prior to joining Abnormal Security, Dan managed the Web Ads Machine Learning team at Twitter. Before that, he served as a Staff Machine Learning Engineer at Twitter Cortex and was a Senior Data Scientist at TrueMotion. Throughout his career, Dan has focused on leveraging machine learning and AI to drive innovation and solve complex problems in technology and cybersecurity.

Dan has also spent time in academia, earning his PhD from the University of Oxford. His research focused on applications of Category Theory to Machine Learning, advised by Jeremy Gibbons and Cezar Ionescu. Earlier, he worked as a Computer Vision Researcher at the Serre Lab.

Ayan Bhattacharya is a seasoned technology executive currently serving as the Vice President and Generative AI Practice Leader at Capgemini. In this role, he drives the Generative AI portfolio across key industries such as life sciences, consumer goods, technology, and more.

Over the past decade, Ayan has held leadership positions at Deloitte and IBM, where he partnered with Fortune 500 companies to implement AI solutions and transform them into insight-driven organizations. His experience includes launching new data analytics industry solutions at Thomson Reuters and Reed Elsevier, helping organizations become more data product-focused.

Throughout his career, Ayan has led multi-year projects and strategic initiatives across various sectors including professional services, healthcare, technology, and insurance. Notable projects include establishing a multi-year Cognitive Computing center for a leading global reinsurance company and initiating an Omnichannel/Next Best Action program for a top 10 pharmaceutical firm.

Ayan's blend of business acumen and technical expertise has enabled him to build high-performance teams and implement process improvements through digital transformation, automation, and AI. He is also actively involved with startups and fast-growing companies in the AI and data space, advising them on scaling up and driving enterprise growth strategies.

Chen Wang is a seasoned technology professional currently serving as the Lead Alliance Solution Architect at AI21 Labs, focusing on advanced AI solutions and strategic partnerships. Prior to this role, he held key positions in data science and artificial intelligence, including Lead Data Scientist at IBM and Director of Applied AI, Alliances & Channel Partnership at DataRobot.

He began his career at New York University's Center for Soft Matter Research as a Research Assistant and Teaching Assistant, contributing to cutting-edge physics research and mentoring students. Chen holds a Ph.D. in Physics from NYU and a Bachelor's Degree in Physics from Nanjing University. He has also obtained certifications in AI modeling techniques, time series modeling, deep learning with TensorFlow, and more.

With extensive expertise in data science and AI, Chen Wang is a proven leader in driving technological innovation and strategic partnerships across the AI industry.

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Nicholas King is the Founder and CEO of Data Kinetic and a senior technology leader with extensive experience in developing and bringing AI and platform use cases to market across various industries. He has worked with some of the world's most prominent technology companies, including Google, Microsoft, VMware, and Cisco, as well as with several startups and research projects.

Nick is known for his advocacy of novel and innovative approaches to solving complex problems. He has a proven track record of successfully identifying and implementing new technologies that shift markets and disrupt traditional business models. His current research and development efforts have led to cutting-edge solutions in areas such as natural language processing, computer vision, and predictive analytics.

With a deep understanding of the technical, strategic, and business aspects of AI, Nick has led cross-functional teams to develop successful AI solutions. In addition to his technical expertise, he is a skilled communicator and leader with a passion for mentoring and developing the next generation of tech leaders. His collaborative and results-oriented leadership style has made him a respected figure in the industry.

Kumesh Aroomoogan is the Co-founder and CEO of Accern, where he leads the transformation of the financial services industry through innovative artificial intelligence solutions. Under his leadership, Accern has developed a groundbreaking generative AI platform that enables global enterprises to effortlessly categorize, extract, summarize, and analyze vast amounts of unstructured content—including news articles, reports, text files, and call transcripts.

A visionary at the intersection of AI and finance, Kumesh has guided Accern to secure over $40 million in venture capital funding from top-tier investors. His significant contributions have been recognized by Forbes, which named him to its 30 Under 30 list for Enterprise Technology. Fast Company also acknowledged his impact by including him in their Top 50 Next Big Things in Tech, and he has been featured in the Top 50 Financial Technology Report's Top FinTech CEOs. Under his direction, Accern has earned a notable spot in Gartner's 2023 Hype Cycle for Data Science, Machine Learning, and Emerging Technologies in Banking.

Kumesh Aroomoogan continues to drive innovation in AI, empowering enterprises to harness unstructured data and shaping the future of financial technology.

Jon Krohn is a data science leader, innovator and entrepreneur in machine learning and generative AI. As Co-Founder and Chief Data Scientist of Nebula.io, he spearheads an ambitious R&D roadmap for developing cutting-edge natural language models and AI solutions to automate and augment business processes. Jon manages a cross-functional team creating AI capabilities via intuitive APIs and UIs, also pioneering robust tools to mitigate algorithmic biases.

Alongside his entrepreneurial pursuits, Jon is a prolific educator and creator of best-selling AI/ML content. He wrote the #1 book "Deep Learning Illustrated," hosts the popular "SuperDataScience" podcast with more than 4 million downloads a year, and his online courses have taught more than 100,000 students. Jon's exceptional contributions earned him the 2021 Data Community Creator Award for the AI/ML YouTube Channel.

Prior to founding Nebula.io, Jon was Chief Data Scientist at Untapt, an AI startup acquired by Wynden Stark Group in 2021. His earlier roles included quantitative trading, developing award-winning ad-tech at Omnicom's Annalect, and conducting postgraduate neuroscience research at the University of Oxford and Wilfrid Laurier University.

A thought leader advising multiple tech company boards, Jon combines data science expertise with business acumen and an ethical approach to AI development. He holds a PhD from Oxford University.

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Deepali Vyas is a trailblazer at the forefront of empowering the next generation through education, mentorship and innovative technologies. As the Founder and CEO of Fearless+, she has created a groundbreaking digital platform to help young people discover their potential, access resources, and develop essential skills for personal and professional success.

With more than 25 years of multi-disciplinary experience across finance and technology, Deepali brings a unique perspective to her mission. She currently serves as the Global Head of FinTech and Applied Intelligence (Data Science & AI) at Korn Ferry, a leading organizational consulting firm. In this role, Deepali leads executive search and advisory for strategic AI, data, and analytics leaders worldwide.

A certified executive coach and published thought leader, Deepali advises clients on topics including talent management, DEI, organizational design, and the transformative impact of disruptive technologies such as generative AI. Her insights are featured in prominent media outlets including Bloomberg, CNBC, MarketWatch and Forbes.

Deepali's entrepreneurial spirit drives her involvement with numerous startups and organizations at the intersection of data science, AI and emerging technologies such as crypto. She is an investor and founder at Ever Nester, pioneering adoption platform innovations. Deepali is also a board member and senior advisor to Correlation One, a leading data talent solutions provider.

Her multifaceted expertise has earned Deepali membership of the Forbes Business Council.

A passionate advocate for democratizing opportunities, Deepali completed her Master's in International Finance from the London School of Economics and Political Science. Her trailblazing work through Fearless+ encapsulates her dedication to empowering youth to fearlessly pursue their dreams.

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Sheetal Kohli Rishi is a visionary strategist driving transformative change. She thrives on executing large-scale, multi-year efforts. As VP of High Performance Computing & AI Deployments at HPE, she paves the way for scientific breakthroughs. Her leadership philosophy centers on simplicity, meritocracy, and rejecting bureaucracy.

Born in Amritsar, India, Sheetal's journey began at McKinsey, consulting globally and immersing herself in diverse cultures. This ignited a passion for diversity and a global mindset. Moving to New York more than a decade ago, she honed expertise in strategy, technology, and operations through roles at Citibank and IBM.

At IBM, Sheetal discovered AI's potential, managing an early Watson product for banking. She led AI transformations, forged strategic ISV/GSI partnerships, and drove Martech/Adtech business innovation. When IBM restructured, she built Kyndryl's cloud center of excellence, collaborating with AWS, Microsoft, and Google.

Now at HPE, Sheetal utilizes her transformation prowess in high performance computing and AI deployments. Her educational includes Georgetown University and Harvard Business School's Digital Transformation program.

Beyond professional achievements, Sheetal champions education, diversity & inclusion, and women's leadership, and she also mentors job seekers/small businesses. She actively supports these causes, recognizing their profound societal impact.

With simplicity and focus, Sheetal builds high-performing teams to deliver results while fostering fun in collaborative environments. Her global perspective, technical acumen, and passion for excellence transcend boundaries, empowering organizations and individuals.

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Steve Nouri is a data science evangelist and pioneer in the field of artificial intelligence. As the Founder and a board member of Generative AI, he leads a dedicated team staying ahead of the latest innovations and advancements, creating a hub for professionals to learn about cutting-edge generative AI developments.

Steve is most proud of AI4Diversity, a non-profit global organization he founded to engage and educate diverse communities about AI's potential to benefit society. With over 10,000 volunteers worldwide, AI4Diversity is making a meaningful impact through knowledge sharing and promoting responsible AI implementation.

In addition to his entrepreneurial ventures, Steve serves as the Chief AI Evangelist at Wand, a collaborative platform empowering users to leverage AI capabilities. His focus is on driving product-led growth strategies powered by the AI community.

A sought-after advisor, Steve collaborates with Fortune 500 tech giants like NVIDIA, Alteryx, and Oracle guiding strategy on AI adoption and emerging trends. He was also the Head of Data Science and AI at the Australian Computer Society (ACS).

Steve's passion for education and community building has earned him a following of over 1.4 million people across various technology forums. He speaks, writes, and engages audiences worldwide on topics related to AI innovation, ethics, and diversity.

Steve's entrepreneurial journey and contributions to democratizing AI have earned industry recognition, and he has completed executive education at the prestigious MIT Sloan School of Management.

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Daniel Hulme, PhD, is a globally-renowned expert and thought leader in Artificial Intelligence (AI) and emerging technologies. As Chief AI Officer at WPP, the world's largest marketing company, he spearheads the group's AI vision, capability development, curation of solutions, and exploration of new opportunities.

Daniel brings more than two decades of academic experience in AI to his role. He previously co-founded and exited Satalia, an award-winning AI products and solutions company with major clients including Tesco and PwC. Satalia's acquisition by WPP paved the way for Daniel's current position.

In addition to his WPP role, Daniel is the co-founder of Faculty AI and an advisor to responsible AI startups like Holistic AI. He has held academic leadership roles including Director of UCL's Applied AI/Business Analytics MSc and is currently UCL's Computer Science Entrepreneur-in-Residence. Daniel also lectures at LSE's Marshall Institute on applying AI to business and social challenges.

A passionate advocate for ethical, purposeful technology, Daniel frequently delivers keynotes on AI ethics, the metaverse, emerging tech, innovation, decentralization, and organizational design for Google, TEDx, and others. He is a faculty member at Singularity University and has contributed to numerous books, podcasts, and articles on AI's impact on the future of work.

Daniel's global recognition includes an international Kauffman Global Entrepreneur Scholarship. He serves on impact/advisory boards for organizations such the University of St. Andrews' Computer Science department.

With a PhD in AI from UCL, Daniel's mission is to create a world where everyone can freely innovate and have access to those advances. He promotes purposeful entrepreneurship and technology with companies and governments worldwide.

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Alon Konchitsky is a renowned technology leader and AI expert currently serving as the Head of Artificial Intelligence at Imagry. In this pioneering role, he is spearheading the development of groundbreaking AI, hardware and software solutions for the world's first Software Defined Vehicle and Mapless Autonomous Driving system.

Alon oversees AI perception, Object Detection AI, Deep Neural Networks (DNN/CNN), Machine Learning infrastructure, MLOps, Big Data workloads on GPU/CPU, and rigorous testing. He provides strategic direction, nurtures AI/ML communities of practice, and educates teams on methods, best practices, and emerging trends in generative AI such as Large Language Models (LLMs) and Transformers.

Prior to joining Imagry, Alon held leadership roles at several technology giants. As Head of the AI Center of Excellence (COE) at Intel/SK Hynix, he strategized AI roadmaps, architectures and guided cross-functional teams for product, engineering and marketing. Earlier, as Director of AI Engineering at UCSF, he drove digital transformation leveraging LLMs such as GPT to distill insights and build AI-powered recommender systems from complex datasets.

Alon has made significant contributions across AI/ML domains including natural language processing (NLP), computer vision (CV), automatic speech recognition (ASR), generative adversarial networks (GANs), data science, and big data analytics. He co-founded a cloud SaaS platform using ML for patent analytics and was an innovation consultant at Apple focused on audio, voice recognition and acoustics.

A prolific inventor, Alon holds numerous patents across his areas of expertise. He has published extensively and is a sought-after speaker at global AI/ML conferences and industry events. Alon earned his PhD in Electrical Engineering from Bournemouth University and has an MBA from the University of California, Berkeley's Haas School of Business. He is based in the San Francisco Bay Area.

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Feifei Wu is a highly-accomplished technology executive and is also General Partner, CIO at Edward Jones, focussing on wealth management and investment management technology. Prior to joining Edward Jones, Feifei served as the Global Chief Information Officer (CIO) at Brown Brothers Harriman (BBH), spearheading the firm's technology strategy for investment management, investor services, capital markets, and private banking/wealth management.

Under her leadership, BBH undertook a comprehensive data and digital transformation using Artificial Intelligence (AI), Machine Learning (ML), Robotic Process Automation (RPA), Cloud Computing, and Digital Assets. Feifei delivered innovative solutions on-time and on-budget through close executive, business, and technology collaboration. She was also instrumental in setting up BBH's Innovation Lab.

Before BBH, Feifei was a Managing Director at both Royal Bank of Canada and BNY Mellon, where she held senior technology roles driving modernization, data/digital transformation and AI/ML innovations for capital markets, custody banking, and investor services businesses.

Earlier, Feifei spent more than a decade at MetLife Investments as a Senior IT Executive leading global technology for equity, fixed income, FX, derivatives, alternatives, commodities, collateral management and securities lending. She began her career at Prudential Financial in investment management technology for equity, FX and fixed income products.

Feifei has extensive domain expertise spanning asset management, investment banking, custody services, wealth management and fintech. She is a proven technology visionary and transformation leader with a stellar track record of building world-class global teams and delivering complex, business-critical programs across the financial sector.

Feifei holds a Master's in Computer Engineering from Zhejiang University with a concentration in AI/ML. She also pursued MS and PhD coursework in Computer Science with an AI/ML focus at Rutgers University. She is based in the New York metropolitan area.

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Ram Nagappan is the Chief Information Officer for BNYMellon Pershing. With more than 30 years of information technology experience, Ram oversees the firm’s technology and engineering of digital,experience-centric wealth management solutions.

Ram is a distinguished technologist as well as an accomplished innovator instrumental in building industry-first solutions. He developed the first-ever market-making system outside of an exchange floor for the US capital market system. Expert in building trading systems and ticker plants that are designed to handle massive market data streams, and electronic stock exchange systems (NY,Boston, Philadelphia) in the US. He is also part of the team that built the first online trading platform(PC Financial Network) - a significant market disruptor. Under Ram’s leadership, Pershing launched award-winning, open architecture-based wealth management products (NetX360®, NetXInvestor®and NetXServices) in the US.

Prior to assuming his current role, Ram served as managing director and chief technology officer at DLJdirect and CSFB direct, pioneers in online internet brokerage. During the late 90’s to 2000, he led the efforts to establish BNY Mellon India Technology (iNautix). Prior to that worked as a consultant for IBM in building their OS/360, CICS, and MQ.

As a spokesperson on technology trends and issues, Ram has been featured in a number of technology and financial publications including InvestmentNews, ThinkAdvisor, and Bloomberg Radio. He is a regular keynote speaker and panelist at industry events and conferences. Additionally, Ram was recognized by ComputerWorld as a Premier 100 IT Leader and by the New Jersey Technology Council as “CIO of the Year.” Most recently, Ram was the first technology leader to receive the Bank Insurance & Securities Association’s (BISA) Circle of Excellence Award, their most prestigious recognition.

Over the years, Ram has served as a member in a number of industry positions - Financial Industry Regulatory Authority (FINRA) Operations and Technology Advisory Committee and Technology Advisory Committees for various national securities exchanges.

Ram actively contributes to social, community, and entrepreneurship programs. He is a founding member of the American Tamil Entrepreneurs Association (ATEA) and is an advisor and mentor in TiE Forums. Both ATEA and TiE are non-profit organizations and through these relationships, Ram connects founders of startups and helps them, with resources such as advisors, mentors, venture capitalists, and industry executives. Ram also published more than 8 books on various topics.

A graduate of Anna University (India), Ram earned a Bachelor of Engineering degree in Electronicsand Communication. Also completed various professional studies at the Wharton School of the University of Pennsylvania, NYU, and Harvard.

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JoAnn C. Stonier serves as Chief Data Officer for Mastercard, leading the organization’s data innovation efforts while navigating current and future data risks. She oversees the curation, quality, governance and management of the company’s extensive data assets. JoAnn and her team design and operationalize Mastercard’s global data strategy, guiding enterprise deployment of cutting-edge data solutions, including advanced analytics and AI, and the development of enterprise data platforms.

Her leadership is integral to Mastercard’s push to deepen the strategic value it can provide its merchant, banking and government customers and cardholders through its expanding data-driven products and capabilities.

JoAnn previously served as the company’s Chief Information Governance & Privacy Officer, responsible for global privacy and information governance, and leading regulatory engagement for data compliance.

JoAnn is a recognized and highly sought-after thought leader in emergent data and privacy issues. She has advised industry executives, governments, intergovernmental organizations and NGOs. Currently, she serves on the United Nations Expert Group on Governance and Artificial Intelligence and is Co-Chair of the World Economic Forum’s Global Future Council on Data Policy. JoAnn also serves as a Board Advisor for Truata, a data trust co-founded by Mastercard and IBM, on the Board of Directors and Governance Committee for Hope For The Warriors, a non-profit Veteran service organization, and on the Board of Trustees and Executive & Finance Committees for Academy of Mount St. Ursula, where she attended high school in Bronx, New York.

JoAnn received her Juris Doctorate from St. John’s University and her Bachelor of Science degree from St. Francis College. She holds memberships in the Bar of the State of New York and the Bar of the State of New Jersey. She is based in Purchase, N.Y.

Amy D. Grubb, Ph.D. is an internationally acclaimed speaker who has presented numerous keynote addresses and workshops on leadership, organizational culture, change, performance, working with others, and storytelling.  She has worked directly for three C-level functions (CHRO, CFO, CIO) for the past 15 years, and has been with the FBI for over two decades.  Amy is currently serving as the Digital Transformation Advisor to the Chief Information Officer at the FBI and is the founder of Organizational Insights, LLC.

Amy has been responsible for the implementation of numerous change initiatives within the FBI for over 20 years, from serving as a leader on the post-9/11 enterprise-wide cultural transformation of the FBI to implementing innovative HR systems and processes at all levels, with a current focus on the digital transformation of the FBI through its people and culture. She advises C-suite and executive leaders on risk from the human capital perspective regarding organizational performance, policy decisions, and change initiatives, and serves as executive coach to a number of leaders and executives. She worked extensively with Special Agents, pilots, undercover employees, Hostage Rescue Team members, forensic accountants, Intelligence Analysts, mid-level leaders, and executives up through the Director. She has presented numerous papers at professional conferences, has served on advisory boards both internal and external to the FBI, and liaisons extensively within the government and the private sector communities.  

A two-time FBI Director’s Award for Excellence recipient, she built the organizational development function at the FBI as well as led the development and implementation of an integrated Leadership Development Program for all employees at all stages of the employment lifecycle, for which she was awarded the SIOP/SHRM HR Impact Award.  Amy is on the American Psychological Association Change Management Advisory Board and was the Chair of the Bombardier Safety Standdown Advisory Council.  A Fellow of SIOP (Society for Industrial and Organizational Psychology), she earned her Ph.D. and M.A. in Industrial/Organizational Psychology from the University of Houston, earning her bachelor’s degree from Villanova University.

And when she’s not doing all of that, Amy loves sports and especially enjoys watching her five teenagers run, shoot hoops, catch, pass, kick, cradle the rock, dig, and dance.  She likes cooking, running, the beach, and hanging out with her husband and her Bernese Mountain dog Finn.

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Dr. Seth Dobrin is a globally recognized expert in AI. He is the Founder and CEO of the Qantm AI. Previously, he was President of the Responsible AI Institute and Global Chief AI Officer of IBM, where he led the company's AI strategy. Dr. Dobrin is a sought-after speaker and advisor on AI. He believes that AI has the potential to solve some of the world's most pressing problems, but that it is important to use AI responsibly. He advocates for the development of ethical AI guidelines and for the responsible use of AI by governments and businesses.

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John Nicastro is a technology & corporate executive currently serving as Chief Data Officer at Major League Soccer. In his role, John oversees the League’s data and AI strategy, as well as all Fan technology, including digital products, marketing, and advertising platforms. Before joining MLS, John served as Head of the Enterprise Data Office at SiriusXM and Pandora. While there he was responsible for developing and executing a transformative data & analytics strategy for its brands including ground-breaking personalization and recommendation services. Collectively the platforms reached more than 150 million listeners - the largest reach of any digital audio provider in North America.

Cindi Howson is the Chief Data Strategy Officer at ThoughtSpot and host of the award-winning The Data Chief podcast. Cindi is an analytics and BI thought leader and expert with a flair for bridging business needs with technology.  As Chief Data Strategy Officer at ThoughtSpot, she advises top clients on data strategy and best practices to become data-driven, speaks internationally on top trends such as creating a data culture, align to business value, and AI ethics, and influences ThoughtSpot’s product strategy. Cindi was previously a Gartner research Vice President, as the lead author for the data and analytics maturity model and analytics and BI Magic Quadrant, and a popular keynote speaker.  She introduced new research in data and AI for good, NLP/BI Search, and augmented analytics and brought both the BI bake offs and innovation panels to Gartner globally. She’s frequently quoted in MIT, Harvard Business Review, Information Week and is rated a top 12 influencer in big data and analytics by Analytics Insight, Onalytica, Solutions Review, and Humans of Data. She has been named DataIQ100 in 2023, Motivator of the Year, by Women Leaders in Data and AI (WLDA) in 2023, and CDO Magazine named her a Leading Data Consultant and Global Data Power Woman in 20222 and 2023. In 2021 she was named data leader of the year by Women in Data.  Prior to joining Gartner, she was founder of BI Scorecard, a resource for in-depth product reviews based on exclusive hands-on testing, contributor to Information Week, and the author of several books including: Successful Business Intelligence: Unlock the Value of BI & Big Data, Analytics Interpreted, and SAP BusinessObjects BI 4.0: The Complete Reference. She served as The Data Warehousing Institute (TDWI) faculty member for more than a decade. She serves on the board for Drexel University’s LeBow Business Analytics program and is a volunteer for Girls Plus Data, Women in Data, and the Mark Cuban Foundation, AI bootcamps. Prior to founding BI Scorecard, Howson was a manager at Deloitte & Touche and a global BI standards leader for Dow Chemical. She has an MBA from Rice University.

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Nick Elprin is the CEO and co-founder of Domino Data Lab, provider of the enterprise AI platform that powers model-driven companies such as Allstate, Bristol Myers Squibb, Dell and Lockheed Martin. Before starting Domino, Nick built tools for quantitative researchers at Bridgewater, one of the world’s largest hedge funds. He has over a decade of experience working with data scientists at advanced enterprises. He holds a BA and MS in computer science from Harvard.

Matt Turck is a Partner at FirstMark, where he focuses on early-stage investments in enterprise software and cloud, with a particular predilection for data infrastructure, ML, and AI. His current portfolio includes companies such as Dataiku, Ada Support, Cockroach Labs, and Synthesia. For the last 10+ years, Matt has been publishing the annual MAD (ML, AI, Data) industry landscape and organizing Data Driven NYC, the largest data/AI meetup in the US.

Florian Douetteau is the co-founder and CEO of Dataiku, an AI software company that aims to make data analysis and machine learning more accessible. Florian was born in France, where he also pursued his education in Computer Science at ENS Paris. His passion for unraveling complex systems and processes led him to the world of data science and AI.

Ricky Ray Butler is an 18-year digital entertainment veteran and a pioneer in using AI technology to reshape the entertainment and media landscape. In 2008, he founded Plaid Social Labs, which was later acquired by BENlabs. Today, BENlabs is at the forefront of leveraging AI and deep learning to empower brands and creators to drive business outcomes through engaged human attention across media, content, and entertainment. Through its acquisition of TubeBuddy, BENlabs is empowering the 14 million influencers, creators, and brands on the platform to leverage data driven systems and processes to grow their audiences and revenues. Ricky Ray Butler serves as an advisor and investor for entrepreneurs and charities who share his relentless quest for disruption and deep learning. Like any data driven creative, Ricky spends his free time creating art no one should see and reading about the myriad of ways data has and can continue to improve the 21st century. Ricky Ray lives with his wife and two children in Los Angeles.