The AI Summit New York

The AIconics Awards

AI Innovator of the Year Awards 

The AI Innovator of the Year awards are a benchmark for industry excellence, recognizing the achievements of individuals instrumental in breakthrough innovation and cutting-edge application of AI in business.

Voting is now open until December 6 and the winner will be revealed on the headliners stage at The AI Summit New York.

AI Innovator of the Year Awards 
Vote for Your Winners

Solution Providers Nominees

1. Ashley Casovan, Executive Director, Responsible AI

Ashley CasovanThe Responsible AI Institute (RAII) is a community-led non-profit organization currently operating in the US, UK, Europe, and Canada applying an international lens to responsible AI (RAI). As Executive Director, Ashley has been leading the organization in establishing the first independent certified framework aligned to standards and regulations. She and the team have built a schema focusing on 6 core axes that programmatically align the business and technical implementation of AI Systems, to the needs of corporate policies, international standards, and regulations. RAII also provides foundational capabilities to help members at various stages of maturity.

It is rare to see a non-profit organization set to impact an industry as much as Ashley and team are primed to impact the AI world to help AI provide better, fairer, and more inclusive outcomes.

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2. Dr. Cecil F Motley, CEO and Chief Inventor, Patho Care LLC

Cecil MotleyDuring the COVID-19 Pandemic, Dr. Cecil F Motley of Patho Care LLC. stressed the need to create a Global Genomic Surveillance Online Network that could detect, track, trace, and monitor humans infected with coronavirus pathogens such as COVID-19. This network should be powered by an all-digital non-chemical pathogen tester that identifies the presence of COVID-19 and any of its variants in less than 10 seconds on a 24/7 basis with 97% accuracy. The identification process should be based on RAMAN spectroscopy and Deep Learning Neural Network algorithms and be self learning. The tester must be mobile and linked to a server farm via a SmartPhone.

Dr. Motley holds the patents on these tester devices and brings over 45 years of work in germ warfare sensors and maintains about fifty patents.

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3. Edward 'Ed' Bowen, Deloitte Advisory AI Leader and Managing Director of the Deloitte AI Center of Excellence

​​​​​​Ed BowenEd Bowen is the Deloitte Advisory AI Leader and founded the Deloitte AI Center of Excellence. Under Ed’s leadership, Deloitte Advisory™’s AI-enabled revenue has grown from $20M to $222M. Ed led the development and execution of Deloitte Advisory™’s AI business strategy including Go-To-Market activation, Sales, AI Adoption, and Investment prioritization. He built a Research2Development2Commercial pipeline of AI models enhancing core Advisory capabilities across Cybersecurity, Fraud/Waste/Abuse, Financial Controls, Document Intelligence, and Predictive Maintenance.

Ed leads the AI talent strategy in Advisory, developing a curriculum for the Deloitte AI Academy to train hundreds of campus hires in AI, and direct hiring of PhD-level AI Researchers and Engineers. Ed drives an active culture of publication in peer-reviewed scientific journals, with a half dozen manuscripts accepted in the last year. Additionally, he pioneered partnerships with global academic institutions to build cutting-edge AI to commercialize for Advisory clients.

Ed holds a BS and MS in Electrical Engineering, an MA in Molecular Biology, an MBA, and is currently completing a Ph.D. in Molecular Biology. He spent 20 years in Life Sciences R&D, most recently working on AI problems in protein engineering, genetic target validation, and patient stratification in clinical trials. He is a Visiting Scholar at Harvard University and has a peer-reviewed publication record across such diverse topics as Digital Signal Processing and Bayesian statistics.

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4. Dr. Jan Ernst, Head of AI, Latent AI

Dr Jan ErnstDr. Jan Ernst is recognized for thought leadership on edge AI and for spearheading the launch of the Latent AI Efficient Inference Platform (LEIP) product. This practice enables enterprises with machine learning operations (edge MLOps) to effortlessly deploy edge AI solutions with shorter time-to-market.

He developed technology that shrinks AI models by 10x, to only tens of kilobytes, in applications where traditional approaches are too big or too slow to run on resource-constrained devices. The LEIP product is being used in edge solutions in many application domains with positive environmental impact (e.g. agriculture, pipeline inspection). He is an active member of the industry and academic communities in machine learning, including tinyML.

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5. Marc Dispensa, Founder and CTO, Lucy

Marc DispensaMarc Dispensa is the co-founder of Lucy, a market-leading AI for knowledge management. Lucy is an innovative AI that is an "Answer Engine", delivering the right answer to the right person at the right time. She's used by many 1000's users at organizations like PepsiCo, Kraft Heinz, GSK, Lowe's, Krogers, and more.

What makes Marc such a great candidate for this award is that while the application of AI to the field of knowledge management has some innovative wrinkles - what sets Marc apart this year is that he envisioned and lead the development of the next frontier for how AI supports knowledge workers. 

Beyond a standard web app, Marc realized that in most organizations, employees will go to messaging apps like Teams or Slack to ask members of the team questions, so this year, we deployed our Lucy AI to be the frontline subject matter expert capable of responding to direct queries over Teams, Slack and other business messaging tools.

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6. Neerav Vyas, Head of Customer First North America

NeeravNeerav has been a thought leader in AI for marketing and customer experience and leads the personalization solution offering for Capgemini’s Insights and Data Practice. His focus is facilitating large-scale Digital Transformations and leveraging Big-Data and Machine learning to innovate products, processes, services, and experiences.  Using AI to help Marketers better understand their customers and improve their return on marketing investment he helped drive over $750M in EBIDTA over the last 5 years. 

He’s helped build 7 personalization solutions from strategy and design to CX operationalization that generate $100M+ in revenue. With a focus on Advanced Analytics, Data Science, and AI combined with Human Centered Design he’s helped to launch 87 new brands and products (physically and digitally) and 14 global Marketing Analytics Centers of Excellence across 11 industries.

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7. Phaedra Boinodiris, Global Lead Responsible AI (IBM), Co-Founder (Future World Alliance)

PhaedraPhaedra Boinodiris is currently acting as IBM’s Responsible AI practice leader for IBM’s consulting division, working directly with clients globally and across multiple industries. She is a Ph.D. scholar in AI and Ethics via UCD’s SMARTlab and is also a prolific author and public speaker.

As Phaedra Boinodiris believes that earning trust in AI is a socio-technological challenge, the blogs, comics, YouTube videos, and talks she gives focus on the culture needed within organizations to responsibly curate AI. She currently hosts an IBM series on the topic of AI and Ethics on YouTube.

Boinodiris is the co-founder of the non-profit Future World Alliance dedicated to curating K-12 curriculum in data and AI ethics. The non-profit has over 30 practitioner members spanning across the tech companies working together with schools, game designers, and museums.

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8. Derek Peterson, CEO, Soter Technologies

DerekDerek has successfully applied his expertise, ingenuity, and passion for the practical application of AI technologies to improve safety and security in schools around the world since 2018. With the launch of JunoAI in 2022, Derek and his Soter teammates have made a significant leap forward in understanding the behaviors, propensities, and emotions of students through automated anonymized analysis of surveillance video streams.

Derek designed the JunoAI analytics engine to process multiple video streams in real time and recognize characteristic precursor crowd formations or actions indicative of high-danger situations, such as an assault or fight. He also applied AI to create a privacy-aware platform that anonymizes individual identities yet correlates each set of unique physical attributes for persons and captures emotional state data for each. Notifying administrators about individuals who may need attention or providing a school happiness barometer are intelligent outcomes that address critical needs in schools.

He also addressed the privacy rights of individuals by launching Redact, an automated redaction processing platform that preserves or shields the visual identities of individuals in videos that must be released, saving schools time and money previously spent on manual redaction.

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Solution Implementors Nominees

1. Amit Arora, Vice President - Product Management, Swiss Re

Amit Arora

Amit is a globally recognized product management evangelist with 22 years in AI & automation-led proven monetization. Amit holds multiple awards and patents in NLP, custom CNN & RGB-based segmentation applications, leading to new AI-led product creation in Telecom, Insurance & Life Sciences verticals, cumulatively generating over $1.2B in new revenues for his employers. He has been regularly invited as a thought-leader in the AI-led product management space by media outlets such as CBS News, Reuters, InsureTV & O'Reilly AI conference, to name a few.

Amit has been exemplary in this field. Some of his patents/AI solutions developed include Vehicle Parts Segmentation for Cognitive Vehicle Damage Assessment, embedding video files permanently in PDF documents, and Detecting claims frauds using RGB analyzer, CNN, parallel CNN & Double JPEG compression custom CNN models.

Amit is also an Adjunct Professor of Applied Risk Analytics at Columbia University, Adjunct Professor of Healthcare Analytics at Chitkara University, India, guest lecturer at UC Berkeley, & continues to uniquely work across corporate & global academia to bring fresh thinking into tech-led problem-solving.
 

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2. Saurabh Parikh, Chief Data & Innovation Officer, Coke One North America (CONA) Services

SaurabhSaurabh is a collaborative outcome-driven leader with 22 years of proven history in driving a step change, by applying creative solutions to meaningful business opportunities. 
 
As AI has transitioned from still a novel concept decade ago to countless practical applications that affects all of us today, Saurabh has been at the forefront of leading Business transformation through AI driven Innovations - from ideas to Business outcomes. In his role as Chief Data Officer and Chief Innovation Officer at Coke One North America services, he developed a robust and scalable AI capability - which includes people first, business engagement, data management, cloud platform engineering, ethical AI, and end-to-end product mindset as key tenets. 
 
Portfolio of AI led solutions that Saurabh helped build and implement, with a mix of internal and external talent pool and a mix of internal and external investment, tackle common CPG/DSD industry opportunities like Product assortment optimization, On-shelf availability, Assisted Ordering, Customer retention, and Supply chain efficiencies. These solutions are in-use by thousands of Coca-Cola associates in North America and have collectively delivered significant business value in terms of top-line and bottom-line growth. Also, some of these solutions are trademarked and made available externally through GTM partnerships.
 
Saurabh is a firm believer in community of practice. He was a keynote speaker at AI summit in the past, has hosted and participated in various AI collaboration forums, serves on customer advisory board for leading AI cloud/platform provider, and has recently joined the Emory university's MSBA Exec Advisory board.

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3. Neil Sanyal, Global Head of Research Marketing Ops & Analytics, Morgan Stanley

NeilNeil Sanyal has been actively involved in AI and Machine Learning model creation and innovation with Morgan Stanley’s Research department for over a decade. He has helped to architect a host of predictive models which work together to improve the businesses’ ability to engage with clients. 
 
Through his innovative model driven approaches to personalization and distribution Morgan Stanley has seen strong growth in the effectiveness of its email marketing channel, readership via its research portal, and a next best action implementation which is lowering the bar for analysts to be seen as experts. 
 
Neil has tackled challenging problems like content recommendations for over 60k pieces of content a year across the globe and completely personalized email layouts based on historical preferences. Neil has also gone above and beyond to help others get up the steep learning curve in AI through presentations at The AI Summit New York as well as at Adobe Summit and at World AI Summit. 

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4. Sol Rashidi, CAO, Estée Lauder

Sol RashidiWith eight (8) patents issued, 21 filed, and receiving “CAO of the Year 2021” and “50 Most Powerful Women in Tech”, Sol focuses on creating a community amongst technologists and non-technologists to help businesses push past their capabilities, establish stronger positioning in the marketplace, and make a difference when using the latest advancements in Technology, Data Science, Engineering, Product Development, Data Visualization, Multi-Cloud Infrastructure.

Before data became “cool”, Sol was pioneering some of the earliest advancements in the space and advised companies to avoid over-architecting a solution, know that AI is not the answer to everything, focus on building internal IP & Talent, and not everything needs to be cutting edge, sometimes the innovation comes from just cutting through the noise.

Skilled at creating a vision and developing linkages between strategy and execution in order to build a cohesive path forward, Sol’s specialty is influencing change throughout an organization, rolling up her sleeves, and getting into the details while keeping the strategic intent in mind. Energetic and a goal-oriented thought leader, Sol firmly believes in un-complicating the complicated and is skilled at coupling her technical acumen with story-telling abilities to articulate the business value.

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5. Ellie Norris, R&D IT Innovation Chapter Lead, Merck

Ellie D NorrisEllie D. Norris has 24 years of experience in scientific R&D and information technology and academic degrees in biochemistry and bioinformatics. She currently serves as the Innovation Chapter Lead at Merck to support Clinical & Real-World Evidence Generation for both proofs-of-concept and production implementations with a focus on natural language processing (NLP) use cases.

Ellie Norris has managed global development squads and stewarded key competencies to design and implement new systems that encompass intelligent search and chatbots, text classification, topic modeling, language translation dictionaries, and machine translation, and is an active co-lead for the internal NLP Stream to facilitate cross-divisional knowledge exchange.

In 2022, she was featured in RE-WORK's "Top 25 Women in AI: US Healthcare & Pharma Edition". Ellie Norris recently became a board member of Future Science Group's "Future Medicine AI" journal/digital site and will be leading the “How NLP Can Transform Healthcare’s” roundtable discussion during RE-WORK’s AI in Healthcare Summit.  She also co-leads the NYC Chapter of Women in Machine Learning & Data Science.

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6. Ankit Mangal, Head of Analytics - Global Supplier Technology, Wayfair

AnkitIn the past 5 years, Ankit has implemented AI/ML solutions at Wayfair to optimize customer journey on the Storefront, optimize advertising auctions for suppliers by learning through simulations on different levers, using algorithms to reduce humans-in-the-loop on scaling catalog, leverage NLP on chatbots to improve customer service experience while reducing operational costs and more.

For the past 4 years, Ankit and his team have been partnering with MIT on leveraging cutting-edge AI solutions to solve key business problems and have published work including a new algorithm, Cluster While Classify, in partnership with MIT professors and students. At Wayfair, Ankit conceptualized and developed a team within Tech org to drive the adoption of AI/ML frameworks across analytics organizations with the Citizen Data Science Vision.

Before Wayfair, Ankit led the effort to bring more AI/ML-centric solutions for customer-level personalization, fraud prevention, and risk management at leading financial services organizations. He has not only encouraged the implementation of industry-leading AI practices but also ensured interpretability as a dimension to ensure regulatory compliance.

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Vote for your chance to win!

All those who vote in the AIconics AI Innovator of the Year awards will be entered into a prize draw to win 2 complimentary All Access passes to The AI Summit New York. There are 5 pairs of these complimentary passes available to win. 

 *Terms and Conditions apply.

Following some brilliant nominations, the time has finally come to select your AI Innovator of the Year Awards. Recognize the success of your peers and celebrate the wins of your colleagues by voting for your winner today. 

Here's a quick reminder of the shortlist: 

Solution Providers:

  1. Ashley Casovan, Executive Director, Responsible AI

  2. Dr. Cecil F Motley, CEO and Chief Inventor

  3. Edward 'Ed' Bowen, Deloitte Advisory AI Leader and Managing Director of the Deloitte AI Center of Excellence

  4. Jan Ernst, Head of AI, Latent AI

  5. Marc Dispensa, Founder and CTO, Lucy

  6. Neerav Vyas, Head of Customer First North America

  7. Phaedra Boinodiris, Global Lead Responsible AI (IBM), Co-Founder (Future World Alliance)

  8. Derek Peterson, CEO, Soter Technologies


Solution Implementors:

  1. Amit Arora, Vice President - Product Management, Swiss Re
  2. Saurabh Parikh, Chief Data & Innovation Office, Coke One North America (CONA) Services

  3. Neil Sanyal, Global Head of Research Marketing Ops & Analytics, Morgan Stanley

  4. Sol Rashidi, CAO, Estée Lauder, Formerly at Merck, Sony Music, Royal Caribbean, E&Y, IBM Watson

  5. Ellie Norris, R&D IT Innovation Chapter Lead, Merck

  6. Ankit Mangal, Head of Analytics - Global Supplier Technology, Wayfair

Voting is now open until December 6 and the winner will be revealed on the headliners stage at The AI Summit New York.

Please note that voting multiple times will not increase the chance of success. 

Vote for your winner Today

 

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