Agenda | Kisaco Research

Agenda

Enterprise Generative AI Summit West Coast
21-22 May, 2024
Silicon Valley, CA, USA

Tuesday, 21 May, 2024
Registration & Networking
Opening Keynote

The need to deliver trusted AI has never been greater. Join these leaders as they talk about building a future of Ethical and Safe AI. Learn the key pillars boards and C-suites need to consider throughout the lifecycle of an AI First strategy.

C-Suite
AI Technologists
Business Leader
Digital Change

Author:

Shaloo Garg

Managing Director
Microsoft - Late Stage Startups & Unicorns

Shaloo Garg is Managing Director, Late Stage Startups & Unicorns and based out of Silicon Valley. She brings a combination of strong startup, enterprise, strategic partnership and corporate development experience.

Previously, Shaloo was Partner , Global Oracle Innovation at Oracle where she lead the Global Corporate Innovation practice of commercializing revenue opportunities for startups into the enterprise client base and partner ecosystem. She has also lead go-to-market for Oracle’s cloud business and was part of the M&A team that acquired Peoplesoft, Siebel, Retek etc. Prior to joining Oracle, she was in a couple of early stage startups. Shaloo is passionate about Tech for Good and is President , BOD at UN Women, Silicon Valley , a “Champion of Innovation” at UN Women where she is spinning up virtual Innovation Labs with Universities leveraging emerging technologies to encourage digital literacy in developing countries for young girls who do not have access to education.

Shaloo strongly believes that technology’s best use case ever is using its power to impact wider social issues like hunger, poverty, STEM education, clean water, energy, sustainable cities etc in developing and under-developed economies. Shaloo is a Guest speaker at Penn Law School and is an MBA from Delhi University and has done specialization in Innovation and Design Thinking from Stanford d.School. Words to live by: “In life, there are no mistakes… only lessons” – Vic Johnson.

Shaloo Garg

Managing Director
Microsoft - Late Stage Startups & Unicorns

Shaloo Garg is Managing Director, Late Stage Startups & Unicorns and based out of Silicon Valley. She brings a combination of strong startup, enterprise, strategic partnership and corporate development experience.

Previously, Shaloo was Partner , Global Oracle Innovation at Oracle where she lead the Global Corporate Innovation practice of commercializing revenue opportunities for startups into the enterprise client base and partner ecosystem. She has also lead go-to-market for Oracle’s cloud business and was part of the M&A team that acquired Peoplesoft, Siebel, Retek etc. Prior to joining Oracle, she was in a couple of early stage startups. Shaloo is passionate about Tech for Good and is President , BOD at UN Women, Silicon Valley , a “Champion of Innovation” at UN Women where she is spinning up virtual Innovation Labs with Universities leveraging emerging technologies to encourage digital literacy in developing countries for young girls who do not have access to education.

Shaloo strongly believes that technology’s best use case ever is using its power to impact wider social issues like hunger, poverty, STEM education, clean water, energy, sustainable cities etc in developing and under-developed economies. Shaloo is a Guest speaker at Penn Law School and is an MBA from Delhi University and has done specialization in Innovation and Design Thinking from Stanford d.School. Words to live by: “In life, there are no mistakes… only lessons” – Vic Johnson.

Author:

Aku Aakriti Srikanth

Founding Partner
WomenOfAI Ventures
  • Aku Aakriti Srikanth is the Managing Director of an AI Venture Studio and was an AI Executive at Workday (ex- DataRobot Director of Product - MLOps). 
  • Previously, she worked at Neotribe Ventures (founded by NEA GP with $356 under management) where she focused on seed stage startups and was a Principal at Mitsui Sumitomo CVC. She also worked with the General Catalyst Managing Director/ex - CTO of Dropbox via sourcing deals.
  • MS & BS in Computer Science with a focus on machine learning and AI.
  • She started career in investment banking at D.E.Shaw and strategy consulting at Deloitte. 
  • She was the Head of AI Product Strategy at IBM Watson and launched the Red Hat AI.
  • She founded Microsoft for Startups : AI Amalgamators as featured on Forbes.
  • She launched “Community of 100+ AI Executives” sponsored by Google, SVB & Salesforce featuring the Forbes VC Midas List Editor and VC firms.
  • She was featured on the Forbes 30 Under 30 List and Nasdaq’s Leading Women in AI on CNBC,.
  • US awarded her the EB1 greencard based on extraordinary abilities in AI and is the founder of the WomenOfGenAI in partnership with WomenOfAI.org.

Aku Aakriti Srikanth

Founding Partner
WomenOfAI Ventures
  • Aku Aakriti Srikanth is the Managing Director of an AI Venture Studio and was an AI Executive at Workday (ex- DataRobot Director of Product - MLOps). 
  • Previously, she worked at Neotribe Ventures (founded by NEA GP with $356 under management) where she focused on seed stage startups and was a Principal at Mitsui Sumitomo CVC. She also worked with the General Catalyst Managing Director/ex - CTO of Dropbox via sourcing deals.
  • MS & BS in Computer Science with a focus on machine learning and AI.
  • She started career in investment banking at D.E.Shaw and strategy consulting at Deloitte. 
  • She was the Head of AI Product Strategy at IBM Watson and launched the Red Hat AI.
  • She founded Microsoft for Startups : AI Amalgamators as featured on Forbes.
  • She launched “Community of 100+ AI Executives” sponsored by Google, SVB & Salesforce featuring the Forbes VC Midas List Editor and VC firms.
  • She was featured on the Forbes 30 Under 30 List and Nasdaq’s Leading Women in AI on CNBC,.
  • US awarded her the EB1 greencard based on extraordinary abilities in AI and is the founder of the WomenOfGenAI in partnership with WomenOfAI.org.
Technology Keynote

Organizations are witnessing the dawn of the data-driven, AI, and regulatory era. The data-driven and digital transformation of organizations is occurring at a rapid pace in order to stay relevant and pave the way to a sustainable future. The consolidation of an organization’s data into a governed, trusted, and well-managed environment that supports both AI development and production workloads is playing a crucial role in this transformation. Organizations want to take advantage of AI, but they need a trusted foundation and access to the data. Our mission is to deliver a trusted, enterprise-wide, data and AI backbone for transforming IBM into an AI Enterprise. This is helping to accelerate the infusion of data and AI in business processes and provide a fertile environment for identifying, building, and deploying responsible generative AI solutions. The resulting benefits to business are reduced time to find and consume data, reduced time to implement initiatives across business units, reduced end-to-end cycle time, and delivering insights that were previously impossible.

C-Suite
AI Technologists
Business Leader
Digital Change

Author:

Ranjan Sinha, Ph.D.

IBM Fellow, VP, and CTO
IBM

Ranjan Sinha is an IBM Fellow, VP, and CTO focusing on AI strategy to develop a turnkey approach to enabling AI with enterprise data. He is a digital transformational leader and innovator in data platforms, data engineering, and data science. He is on the front lines of transforming IBM into an AI Enterprise and helping IBM's clients navigate their data and AI journeys in a hybrid cloud environment. He has published over 30 peer-reviewed papers, books, and patents. He has been awarded federal and university research grants, and won the global sort benchmark for JouleSort and PennySort. He holds a PhD in computer science from RMIT University in Australia, has been a research academic at the University of Melbourne, and held data science roles at eBay Inc. He is passionate about promoting wellness, safety and empowerment of vulnerable groups, and an advocate for social and global issues.

Ranjan Sinha, Ph.D.

IBM Fellow, VP, and CTO
IBM

Ranjan Sinha is an IBM Fellow, VP, and CTO focusing on AI strategy to develop a turnkey approach to enabling AI with enterprise data. He is a digital transformational leader and innovator in data platforms, data engineering, and data science. He is on the front lines of transforming IBM into an AI Enterprise and helping IBM's clients navigate their data and AI journeys in a hybrid cloud environment. He has published over 30 peer-reviewed papers, books, and patents. He has been awarded federal and university research grants, and won the global sort benchmark for JouleSort and PennySort. He holds a PhD in computer science from RMIT University in Australia, has been a research academic at the University of Melbourne, and held data science roles at eBay Inc. He is passionate about promoting wellness, safety and empowerment of vulnerable groups, and an advocate for social and global issues.

Lunch
Panel
Application & Gen AI Integration (Business Leaders) Track
AI Technologists
Infrastructure Procurement

Author:

Gayathri Radhakrishnan

Partner
Hitachi Ventures

Gayathri is currently Partner at Hitachi Ventures. Prior to that, she was with Micron Ventures, actively investing in startups that apply AI to solve critical problems in the areas of Manufacturing, Healthcare and Automotive. She brings over 20 years of multi-disciplinary experience across product management, product marketing, corporate strategy, M&A and venture investments in large Fortune 500 companies such as Dell and Corning and in startups. She has also worked as an early stage investor at Earlybird Venture Capital, a premier European venture capital fund based in Germany. She has a Masters in EE from The Ohio State University and MBA from INSEAD in France. She is also a Kauffman Fellow - Class 16.

Gayathri Radhakrishnan

Partner
Hitachi Ventures

Gayathri is currently Partner at Hitachi Ventures. Prior to that, she was with Micron Ventures, actively investing in startups that apply AI to solve critical problems in the areas of Manufacturing, Healthcare and Automotive. She brings over 20 years of multi-disciplinary experience across product management, product marketing, corporate strategy, M&A and venture investments in large Fortune 500 companies such as Dell and Corning and in startups. She has also worked as an early stage investor at Earlybird Venture Capital, a premier European venture capital fund based in Germany. She has a Masters in EE from The Ohio State University and MBA from INSEAD in France. She is also a Kauffman Fellow - Class 16.

Technologist Deep-Dive (Gen AI & Data Science) Track
AI Technologists
Data Science
Digital Infrastructure
MLOps
Moderator

Author:

Jean Bozman

President
Cloud Architects Advisors, LLC

Jean S. Bozman is an IT industry analyst focusing on cloud infrastructure and the proud founder of a new company, Cloud Architects Advisors LLC.

She has had experience as an IDC Research VP for 10+ years and has covered the semiconductor industry as an analyst for over 20 years.

Jean Bozman

President
Cloud Architects Advisors, LLC

Jean S. Bozman is an IT industry analyst focusing on cloud infrastructure and the proud founder of a new company, Cloud Architects Advisors LLC.

She has had experience as an IDC Research VP for 10+ years and has covered the semiconductor industry as an analyst for over 20 years.

Author:

Aayush Mudgal

Senior Machine Learning Engineer
Pinterest

Aayush Mudgal is a Senior Machine Learning Engineer at Pinterest, currently leading the efforts around Privacy Aware Conversion Modeling. He has a successful track record of starting and executing 0 to 1 projects, including conversion optimization, video ads ranking, landing page optimization, and evolving the ads ranking from GBDT to DNN stack. His expertise is in large-scale recommendation systems, personalization, and ads marketplaces. Before entering the industry, Aayush conducted research on intelligent tutoring systems, developing data-driven feedback to aid students in learning computer programming. He holds a Master's in Computer Science from Columbia University and a Bachelor of Technology in Computer Science from Indian Institute of Technology Kanpur. 

Aayush Mudgal

Senior Machine Learning Engineer
Pinterest

Aayush Mudgal is a Senior Machine Learning Engineer at Pinterest, currently leading the efforts around Privacy Aware Conversion Modeling. He has a successful track record of starting and executing 0 to 1 projects, including conversion optimization, video ads ranking, landing page optimization, and evolving the ads ranking from GBDT to DNN stack. His expertise is in large-scale recommendation systems, personalization, and ads marketplaces. Before entering the industry, Aayush conducted research on intelligent tutoring systems, developing data-driven feedback to aid students in learning computer programming. He holds a Master's in Computer Science from Columbia University and a Bachelor of Technology in Computer Science from Indian Institute of Technology Kanpur. 

Enterprise Use Case
Application & Gen AI Integration (Business Leaders) Track
Business Leader
C-Suite
AI Implementation
AI Technologists

Author:

Kevin Tsai

Head of Technical Solution Architecture, Generative AI & ML Infrastructure
Google Cloud

Kevin currently leads a team of Solution Architects with focus on Generative AI and large-scale, accelerated infrastructure. Kevin has also led teams in Data Analytics, Data Management, and ML at Google, and has more than 20 years of experience in the technology industry

Kevin Tsai

Head of Technical Solution Architecture, Generative AI & ML Infrastructure
Google Cloud

Kevin currently leads a team of Solution Architects with focus on Generative AI and large-scale, accelerated infrastructure. Kevin has also led teams in Data Analytics, Data Management, and ML at Google, and has more than 20 years of experience in the technology industry

Author:

Donna Schut

Head of Technical Solutions Management, Generative AI & Large Scale ML
Google Cloud

Donna Schut

Head of Technical Solutions Management, Generative AI & Large Scale ML
Google Cloud

This talk focuses on how Generative AI is changing digital marketing by speeding up content creation and making it more personal. As the internet gets crowded, creating content quickly and tailored to each person is crucial. We'll show how AI helps marketers make content fast and customize it for each viewer. This session is great for marketers, content creators, and anyone interested in how AI is making digital marketing more efficient and relevant.

Technologist Deep-Dive (Gen AI & Data Science) Track
Marketing
Digital Media
Business Leader
AI Implementation

Author:

Mayank Anand

Machine Learning Engineering Manager
Adobe

Mayank Anand is a Machine Learning Engineering Manager at Adobe, dedicated to enhancing digital marketing with AI and machine learning. His focus lies in harnessing AI for better content creation from texts and images. Presently, he's innovating in the field of generative AI to produce smart, brand-safe content. Mayank holds a Master's in Computer Science from USC, Los Angeles.

Mayank Anand

Machine Learning Engineering Manager
Adobe

Mayank Anand is a Machine Learning Engineering Manager at Adobe, dedicated to enhancing digital marketing with AI and machine learning. His focus lies in harnessing AI for better content creation from texts and images. Presently, he's innovating in the field of generative AI to produce smart, brand-safe content. Mayank holds a Master's in Computer Science from USC, Los Angeles.

Enterprise Use Case

Leading analysts including McKinsey have emphasized the need for business-technology co-ownership of solutions delivery and value creation, to maximize the impact of AI in ways that count for customers.  Intelligence and automation help modernize a whole range of customer service operations by automating routine tasks, allowing human agents to focus on complex problem-solving and empathetic interactions, with enhanced compliance and efficiency for better value and UX delight. In this context, the integration of Generative AI in customer experiences including call transcription, sentiment analysis and similar applications can enable a more empathetic and responsive service model, where efficiency, personalization, and customer satisfaction are paramount.  We present  an AI software engineering best practice focused on integrating new AI capabilities into enterprise wide customer service platforms to deliver incremental value along a multi-year journey of AI adoption. It is based on several technical, product and business criteria essential to optimize the full AI capability stack, to drive greater enterprise value by pacing how and when AI is built and integrated into servicing platforms.

Application & Gen AI Integration (Business Leaders) Track
Business Leader
Finance
Banking
BFSI
C-Suite
Digital Transformation

Author:

Prasad Saripalli

Distinguished Engineer
Capital One

Prasad Saripalli serves as a Distinguished Engineer at Capital One, a technology driven bank on the Fortune 100 list, redefining Fintech and Banking using data, technology, AI and ML in unprecedented ways. Most recently, Prasad served as the Vice President of AIML and Distinguished Engineer at MindBody Inc - a portfolio company of Vista which manages the world's fourth-largest enterprise software company after Microsoft, Oracle, and SAP. Earlier, he served as VP Data Science at Edifecs, an industry premier healthcare information technology partnership platform and software provider, building Smart Decisions ML & AI Platform with Ml Apps Front. Prior to this, Prasad served as CTO and VP Engineering at Secrata.com, provider of Military grade Security and Privacy solutions developed and deployed over the past 15 years at Topia Technology for the Federal Government and the Enterprise, and as CTO & EVP at ClipCard, a SaaS based Hierarchical Analytics and Visualization platform.

At IBM, Prasad served as the Chief Architect for IBM's SmartCloud Enterprise (http://www.ibm.com/cloud-computing/us/en/). At Runaware, he served as the Vice President of Product Development. As a Principal Group Manager at Microsoft, Prasad co-led the development of virtualization stack on Windows 7 responsible for shipping Virtual PC7 and Windows XP Mode on Windows 7.


Prasad teaches Machine Learning, AI, NLP, Distributed Systems, Cloud Engineering and Robotics at Northeastern University and the University of Washington Continuum College.

Prasad Saripalli

Distinguished Engineer
Capital One

Prasad Saripalli serves as a Distinguished Engineer at Capital One, a technology driven bank on the Fortune 100 list, redefining Fintech and Banking using data, technology, AI and ML in unprecedented ways. Most recently, Prasad served as the Vice President of AIML and Distinguished Engineer at MindBody Inc - a portfolio company of Vista which manages the world's fourth-largest enterprise software company after Microsoft, Oracle, and SAP. Earlier, he served as VP Data Science at Edifecs, an industry premier healthcare information technology partnership platform and software provider, building Smart Decisions ML & AI Platform with Ml Apps Front. Prior to this, Prasad served as CTO and VP Engineering at Secrata.com, provider of Military grade Security and Privacy solutions developed and deployed over the past 15 years at Topia Technology for the Federal Government and the Enterprise, and as CTO & EVP at ClipCard, a SaaS based Hierarchical Analytics and Visualization platform.

At IBM, Prasad served as the Chief Architect for IBM's SmartCloud Enterprise (http://www.ibm.com/cloud-computing/us/en/). At Runaware, he served as the Vice President of Product Development. As a Principal Group Manager at Microsoft, Prasad co-led the development of virtualization stack on Windows 7 responsible for shipping Virtual PC7 and Windows XP Mode on Windows 7.


Prasad teaches Machine Learning, AI, NLP, Distributed Systems, Cloud Engineering and Robotics at Northeastern University and the University of Washington Continuum College.

Author:

Franz Zemen

VP of Software Engineering
Capital One

Franz Zemen

VP of Software Engineering
Capital One

This talk delves into the forefront of AI reliability, presenting sophisticated strategies that address core challenges in the field. Our focus encompasses the intricacies of hallucination prevention, the refinement of data batching processes, and the criticality of compliance in AI development. Leveraging deep insights from cutting-edge research and practice, we offer a comprehensive perspective on enhancing AI systems' accuracy and ethical integrity. This discourse is designed to equip practitioners and researchers with advanced methodologies, fostering the next wave of AI innovations grounded in robustness and responsibility.

Technologist Deep-Dive (Gen AI & Data Science) Track
Finance
Data Science
AI Technologists
AI Integration

Author:

Sai Teja Akula

Senior Director, Data Science
LTX Trading

With over a decade of dedicated experience in the field of Artificial Intelligence, Sai stands at the forefront of implementing and leveraging Data Science within organizations. A respected figure in the AI community, Sai has played an instrumental role in the transformation of traditional business models by seamlessly integrating advanced data-driven solutions. His expertise extends from developing sophisticated machine learning algorithms to strategizing the holistic implementation of AI within organizational infrastructures

Sai Teja Akula

Senior Director, Data Science
LTX Trading

With over a decade of dedicated experience in the field of Artificial Intelligence, Sai stands at the forefront of implementing and leveraging Data Science within organizations. A respected figure in the AI community, Sai has played an instrumental role in the transformation of traditional business models by seamlessly integrating advanced data-driven solutions. His expertise extends from developing sophisticated machine learning algorithms to strategizing the holistic implementation of AI within organizational infrastructures

Enterprise Use Case

In today's dynamic financial landscape, the ability to leverage cutting-edge technologies is paramount for banks seeking to thrive and excel. This presentation delves into the transformative potential of artificial intelligence (AI) and provides a comprehensive roadmap to harness its power to revolutionize banking operations and customer experiences:

  1. Discover the essential considerations for responsibly building classical AI and Generative AI models in the financial sector
  2. Uncover the common pitfalls to avoid, preventing project failures and ensuring successful AI implementation
  3. Understand the prerequisites for crafting an AI strategy tailored to multi organization and company's unique needs
  4. Learn how to craft a step-by-step AI Strategy for transforming banking operations and customer experiences
  5. Reap the transformative power of AI capabilities and position cross-functional organizations for success in an evolving financial landscape.
Application & Gen AI Integration (Business Leaders) Track
Business Leader
AI Implementation
C-Suite
Finance
Banking
BFSI

Author:

Pratik Gautam

Lead Product Manager and VP
Citigroup

Pratik is a lead Product Manager and VP at Citigroup. He is an accomplished product leader with 15 years of experience in digital, advanced analytics, automation, and artificial intelligence, with a series of successes in innovation transformations. He has diverse experience in AI within the customer support domain, including call record indexing, document management, RPA automation, and chatbots for global banks such as JPMorgan Chase and Citigroup. Pratik has also applied AI technology such as computer vision, NLP, and OCR for middle and back-office functions and is currently exploring LLM innovations with prompt engineering, AI workflows, and chatbots, leveraging the latest generative AI-based innovations for Citigroup. 

Pratik Gautam

Lead Product Manager and VP
Citigroup

Pratik is a lead Product Manager and VP at Citigroup. He is an accomplished product leader with 15 years of experience in digital, advanced analytics, automation, and artificial intelligence, with a series of successes in innovation transformations. He has diverse experience in AI within the customer support domain, including call record indexing, document management, RPA automation, and chatbots for global banks such as JPMorgan Chase and Citigroup. Pratik has also applied AI technology such as computer vision, NLP, and OCR for middle and back-office functions and is currently exploring LLM innovations with prompt engineering, AI workflows, and chatbots, leveraging the latest generative AI-based innovations for Citigroup. 

Technologist Deep-Dive (Gen AI & Data Science) Track

Author:

Juergen Weichenberger

Head of AI
Schnieder Electric

Juergen has 20 years of experience in building complex solutions leveraging advanced analytics, data science, database design, architecture and other cutting-edge technologies. Working in the AI industry since the mid-1990s, Juergen have built solutions for various industries and leveraged various methods over time. He joined Schneider Electric in 2022 as Vice President AI New Value Stream. His focus is to produce industry grade solutions, translating the combination of core algorithms, robotic, cybernetics and human intelligence. Previously, he worked as Senior Data Science Executive in Accenture and hold various roles related to AI and data. He holds a PhD degree in Business intelligence and new marketing methods from The Philipp University of Marburg, MBA in Executive General Management and MA in Applied Computer, bioinformatics and cybernetic from Paris Lodron Universität Salzburg.

Juergen Weichenberger

Head of AI
Schnieder Electric

Juergen has 20 years of experience in building complex solutions leveraging advanced analytics, data science, database design, architecture and other cutting-edge technologies. Working in the AI industry since the mid-1990s, Juergen have built solutions for various industries and leveraged various methods over time. He joined Schneider Electric in 2022 as Vice President AI New Value Stream. His focus is to produce industry grade solutions, translating the combination of core algorithms, robotic, cybernetics and human intelligence. Previously, he worked as Senior Data Science Executive in Accenture and hold various roles related to AI and data. He holds a PhD degree in Business intelligence and new marketing methods from The Philipp University of Marburg, MBA in Executive General Management and MA in Applied Computer, bioinformatics and cybernetic from Paris Lodron Universität Salzburg.

Networking break
Panel
Application & Gen AI Integration (Business Leaders) Track
AI Implementation
Systems Selection
AI Investment
Moderator

Author:

Rashmi Gopinath

General Partner
B Capital

Rashmi Gopinath is a General Partner at B Capital Group where she leads the fund’s enterprise software practice in cloud infrastructure, cybersecurity, devops, and AI/ML sectors. She brings over two decades of experience investing and operating in cutting-edge enterprise technologies. She led B Capital’s investments in over 24 companies such as DataRobot, FalconX, Clari, Phenom People, Synack, Innovaccer, Labelbox, Fabric, 6Sense, Highspot, Pendo, Starburst, OwnBackup, Figment, Perimeter81, Zesty, among others.

Rashmi was previously a Managing Director at M12, Microsoft’s venture fund, where she led investments globally in enterprise software and sat on several boards including Synack, Innovaccer, Contrast Security, Frame, UnravelData, Incorta, among others.

Prior to M12, Rashmi was an Investment Director with Intel Capital where she was involved in the firm’s investments in startups including MongoDB (Nasdaq: MDB), ForeScout (Nasdaq: FSCT), Maginatics (acq. by EMC), BlueData (acq. by HPE), among others. Rashmi held operating roles at high-growth startups such as BlueData (acq. by HPE) and Couchbase (Nasdaq: BASE) where she led global business development, product and marketing roles. She began her career in engineering and product roles at Oracle and GE Healthcare. She earned an M.B.A. from Northwestern University, and a B.S. in Electrical Engineering from University of Mumbai in India.

Rashmi Gopinath

General Partner
B Capital

Rashmi Gopinath is a General Partner at B Capital Group where she leads the fund’s enterprise software practice in cloud infrastructure, cybersecurity, devops, and AI/ML sectors. She brings over two decades of experience investing and operating in cutting-edge enterprise technologies. She led B Capital’s investments in over 24 companies such as DataRobot, FalconX, Clari, Phenom People, Synack, Innovaccer, Labelbox, Fabric, 6Sense, Highspot, Pendo, Starburst, OwnBackup, Figment, Perimeter81, Zesty, among others.

Rashmi was previously a Managing Director at M12, Microsoft’s venture fund, where she led investments globally in enterprise software and sat on several boards including Synack, Innovaccer, Contrast Security, Frame, UnravelData, Incorta, among others.

Prior to M12, Rashmi was an Investment Director with Intel Capital where she was involved in the firm’s investments in startups including MongoDB (Nasdaq: MDB), ForeScout (Nasdaq: FSCT), Maginatics (acq. by EMC), BlueData (acq. by HPE), among others. Rashmi held operating roles at high-growth startups such as BlueData (acq. by HPE) and Couchbase (Nasdaq: BASE) where she led global business development, product and marketing roles. She began her career in engineering and product roles at Oracle and GE Healthcare. She earned an M.B.A. from Northwestern University, and a B.S. in Electrical Engineering from University of Mumbai in India.

Author:

Aku Aakriti Srikanth

Founding Partner
WomenOfAI Ventures
  • Aku Aakriti Srikanth is the Managing Director of an AI Venture Studio and was an AI Executive at Workday (ex- DataRobot Director of Product - MLOps). 
  • Previously, she worked at Neotribe Ventures (founded by NEA GP with $356 under management) where she focused on seed stage startups and was a Principal at Mitsui Sumitomo CVC. She also worked with the General Catalyst Managing Director/ex - CTO of Dropbox via sourcing deals.
  • MS & BS in Computer Science with a focus on machine learning and AI.
  • She started career in investment banking at D.E.Shaw and strategy consulting at Deloitte. 
  • She was the Head of AI Product Strategy at IBM Watson and launched the Red Hat AI.
  • She founded Microsoft for Startups : AI Amalgamators as featured on Forbes.
  • She launched “Community of 100+ AI Executives” sponsored by Google, SVB & Salesforce featuring the Forbes VC Midas List Editor and VC firms.
  • She was featured on the Forbes 30 Under 30 List and Nasdaq’s Leading Women in AI on CNBC,.
  • US awarded her the EB1 greencard based on extraordinary abilities in AI and is the founder of the WomenOfGenAI in partnership with WomenOfAI.org.

Aku Aakriti Srikanth

Founding Partner
WomenOfAI Ventures
  • Aku Aakriti Srikanth is the Managing Director of an AI Venture Studio and was an AI Executive at Workday (ex- DataRobot Director of Product - MLOps). 
  • Previously, she worked at Neotribe Ventures (founded by NEA GP with $356 under management) where she focused on seed stage startups and was a Principal at Mitsui Sumitomo CVC. She also worked with the General Catalyst Managing Director/ex - CTO of Dropbox via sourcing deals.
  • MS & BS in Computer Science with a focus on machine learning and AI.
  • She started career in investment banking at D.E.Shaw and strategy consulting at Deloitte. 
  • She was the Head of AI Product Strategy at IBM Watson and launched the Red Hat AI.
  • She founded Microsoft for Startups : AI Amalgamators as featured on Forbes.
  • She launched “Community of 100+ AI Executives” sponsored by Google, SVB & Salesforce featuring the Forbes VC Midas List Editor and VC firms.
  • She was featured on the Forbes 30 Under 30 List and Nasdaq’s Leading Women in AI on CNBC,.
  • US awarded her the EB1 greencard based on extraordinary abilities in AI and is the founder of the WomenOfGenAI in partnership with WomenOfAI.org.

This engaging panel discussion delves into the critical differences between proprietary and public data, emphasising the distinct advantages and disadvantages associated with each. Explore how the accessibility and vast quantities of public data facilitate robust generalisation within AI models, contrasting with the nuanced strengths of proprietary data.

Public data's accessibility and abundance offer significant advantages, enabling broad generalisation within AI models. Conversely, proprietary data boasts higher quality, enhanced control, and minimal risk of contamination, catering specifically to niche topics with detailed coverage.

Delve into the advantages of public data, its scalability, and the challenges it poses, juxtaposed against the precise and controlled nature of proprietary data. Gain valuable insights into navigating the trade-offs between the two, understanding their impacts on model performance, ethical and regulatory considerations, and innovation within the realm of AI.

Technologist Deep-Dive (Gen AI & Data Science) Track
AI Technologists
Data Science
Digital Infrastructure
MLOps
Moderator

Author:

Tom Kersten

R&D Engineer
Royal NLR - Netherlands Aerospace Centre

Tom is a distinguished R&D Engineer specialising in AI within the aerospace sector. Armed with a background in computer science and AI, Tom possesses a comprehensive understanding of AI systems. Within his company, he stands out as a leading visionary delving into the integration of generative AI in space, in particular to support the efforts of the Dutch government and its military in this domain. His pioneering work involves exploring and harnessing the potential of GenAI models to revolutionise satellite operations, mission planning, earth observation and space exploration. Tom's dedication to pushing the boundaries of AI in aerospace extends to leveraging generative AI's capabilities, envisaging transformative applications that could redefine the landscape of space technology.

Tom Kersten

R&D Engineer
Royal NLR - Netherlands Aerospace Centre

Tom is a distinguished R&D Engineer specialising in AI within the aerospace sector. Armed with a background in computer science and AI, Tom possesses a comprehensive understanding of AI systems. Within his company, he stands out as a leading visionary delving into the integration of generative AI in space, in particular to support the efforts of the Dutch government and its military in this domain. His pioneering work involves exploring and harnessing the potential of GenAI models to revolutionise satellite operations, mission planning, earth observation and space exploration. Tom's dedication to pushing the boundaries of AI in aerospace extends to leveraging generative AI's capabilities, envisaging transformative applications that could redefine the landscape of space technology.

Enterprise Use Case

Presentation will describe prior work and strategies for effectively summarizing and querying documents ranging from 100k to 200k tokens by segmenting these texts into two or three broad sections. It will examine prompt engineering tactics for enhancing AI effectiveness, including work for automatic labeling and accuracy assessment, as well as iterative refinement of prompts to reduce errors. The talk will compare the effectiveness of concise, staged prompts with single, comprehensive ones, analyzing how to gradually develop complexity and context in AI interactions. Additionally, the presentation will explore adapting prompts to new AI model versions and managing them across various analytical contexts.

Application & Gen AI Integration (Business Leaders) Track
Healthcare
Pharma
Data Science
AI Technologists

Author:

Zoran Krunic

Principal Product Manager
Amgen

Since joining Amgen R&D in 2018, Zoran Krunic has been at the forefront of applying Machine Learning to enhance patient outcomes and streamline clinical trial enrollment processes, utilizing comprehensive Electronic Health Records and clinical datasets. His pioneering work in the Quantum Machine Learning space, in collaboration with IBM's Quantum team, has been instrumental in integrating machine learning with quantum computing through IBM’s Qiskit platform.

Prior to his tenure at Amgen, Zoran developed Machine Learning algorithms at Optum to predict hardware and software failures within complex enterprise architectures. He has a strong background in data engineering and systems development, having contributed significantly to large-scale projects at renowned organizations such as Capital Group and ARCO Petroleum.

In his current full and part-time endeavors, Zoran is leading the efforts in embracing generative AI technologies, with a particular focus on OpenAI's GPT and Anthropic's Claude-2 models. His work is focused on prompt engineering and its application to code generation, advanced document analysis, and process management, with a commitment to ethical AI practices and data privacy.

A recognized voice in quantum computing circles, Zoran is a regular presenter at industry conferences and has served on numerous panels discussing the integration of quantum computing and generative AI within the Health Sciences sector.

With a Master of Science in Electrical Engineering & Computer Science, Zoran continues to explore and contribute to the evolving relationship between quantum computing and artificial intelligence, fostering groundbreaking advancements in healthcare technology.

Zoran Krunic

Principal Product Manager
Amgen

Since joining Amgen R&D in 2018, Zoran Krunic has been at the forefront of applying Machine Learning to enhance patient outcomes and streamline clinical trial enrollment processes, utilizing comprehensive Electronic Health Records and clinical datasets. His pioneering work in the Quantum Machine Learning space, in collaboration with IBM's Quantum team, has been instrumental in integrating machine learning with quantum computing through IBM’s Qiskit platform.

Prior to his tenure at Amgen, Zoran developed Machine Learning algorithms at Optum to predict hardware and software failures within complex enterprise architectures. He has a strong background in data engineering and systems development, having contributed significantly to large-scale projects at renowned organizations such as Capital Group and ARCO Petroleum.

In his current full and part-time endeavors, Zoran is leading the efforts in embracing generative AI technologies, with a particular focus on OpenAI's GPT and Anthropic's Claude-2 models. His work is focused on prompt engineering and its application to code generation, advanced document analysis, and process management, with a commitment to ethical AI practices and data privacy.

A recognized voice in quantum computing circles, Zoran is a regular presenter at industry conferences and has served on numerous panels discussing the integration of quantum computing and generative AI within the Health Sciences sector.

With a Master of Science in Electrical Engineering & Computer Science, Zoran continues to explore and contribute to the evolving relationship between quantum computing and artificial intelligence, fostering groundbreaking advancements in healthcare technology.

This talk offers a deep dive into data privacy in language model (LM) applications, spotlighting the use of opaque prompts as a key strategy for safeguarding sensitive information. We explore how opaque prompts effectively sanitize user inputs by substituting sensitive data with non-identifiable placeholders, thereby preventing LMs from accessing personally identifiable information (PII). The discussion extends to the intricacies of implementing these prompts, highlighting the technical challenges in reliably masking PII and the need for customizable identification mechanisms. The talk also addresses the privacy concerns in LM training data, focusing on the challenges in anonymizing datasets and the implications for model accuracy and utility. This session aims to provide insights into advancing data protection methodologies within the realm of language models.

Technologist Deep-Dive (Gen AI & Data Science) Track
Search Optimization
LLM Modification
Prompt Engineering
MLOps
Data Optimization

Author:

Zairah Mustahsan

Senior Data Scientist
You.com

Zairah Mustahsan is a Staff Data Scientist at You.com, an AI chatbot for search, where she leverages her expertise in statistical and machine-learning techniques to build analytics and experimentation platforms. Previously, Zairah was a Data Scientist at IBM Research, researching Natural Language Processing (NLP) and AI Fairness topics. Zairah obtained her M.S. in Computer Science from the University of Pennsylvania, where she researched scikit-learn model performance. Her findings have since been used as guidelines for machine learning. Zairah is a regular speaker at AI conferences such as NeurIPS, AI4, AI Hardware & Edge AI Summit, and ODSC. Zairah has published her work in top AI conferences such AAAI and has over 300 citations. Aside from work, Zairah enjoys adventure sports and poetry.

Zairah Mustahsan

Senior Data Scientist
You.com

Zairah Mustahsan is a Staff Data Scientist at You.com, an AI chatbot for search, where she leverages her expertise in statistical and machine-learning techniques to build analytics and experimentation platforms. Previously, Zairah was a Data Scientist at IBM Research, researching Natural Language Processing (NLP) and AI Fairness topics. Zairah obtained her M.S. in Computer Science from the University of Pennsylvania, where she researched scikit-learn model performance. Her findings have since been used as guidelines for machine learning. Zairah is a regular speaker at AI conferences such as NeurIPS, AI4, AI Hardware & Edge AI Summit, and ODSC. Zairah has published her work in top AI conferences such AAAI and has over 300 citations. Aside from work, Zairah enjoys adventure sports and poetry.

Wednesday, 22 May, 2024
Technology Keynote

The introduction of AI is transforming businesses from digital to cognitive transformation, integrating advanced technologies like Generative AI multi-agent systems. This transformation goes beyond process improvement to complete reinvention, placing intelligent agents at the heart of the workforce. This change requires businesses to rethink their use of AI for complex tasks, shifting human roles towards management and guidance. It highlights the importance of upskilling and adapting to a culture of continuous learning for effective AI collaboration. As AI evolves, businesses must adapt, promoting a balance between human and machine intelligence to improve innovation and efficiency. The shift to cognitive transformation requires a reevaluation of work structure, team dynamics, and essential skills, urging an industry-wide dialogue to shape an equitable future of work where AI amplifies human potential.

AI Agents
C-Suite
Business Leader
AI Implementation

Author:

Donald Thompson

Distinguished Engineer
LinkedIn

Donald is currently a Distinguished Engineer at LinkedIn, primarily overseeing the company's generative AI strategy, architecture, and technology. He has more than 35 years of hands-on experience as a technical architect and CTO, with an extensive background in designing and delivering innovative software and services on a large scale. In 2013, Donald co-founded Maana, which pioneered computational knowledge graphs and visual no-code/low-code authoring environments to address complex AI-based digital transformation challenges in Fortune 50 companies. During his 15 years at Microsoft, Donald started the Knowledge and Reasoning group within Microsoft's Bing division, where he innovated "Satori", an internet-scale knowledge graph constructed automatically from the web crawl. He co-founded a semantic computing incubation funded directly by Bill Gates, portions of which shipped as the SQL Server Semantic Engine. Additionally, he created Microsoft's first internet display ad delivery system and led numerous AI/ML initiatives in Microsoft Research across embedded systems, robotics, wearable computing, and privacy-preserving personal data services.

Donald Thompson

Distinguished Engineer
LinkedIn

Donald is currently a Distinguished Engineer at LinkedIn, primarily overseeing the company's generative AI strategy, architecture, and technology. He has more than 35 years of hands-on experience as a technical architect and CTO, with an extensive background in designing and delivering innovative software and services on a large scale. In 2013, Donald co-founded Maana, which pioneered computational knowledge graphs and visual no-code/low-code authoring environments to address complex AI-based digital transformation challenges in Fortune 50 companies. During his 15 years at Microsoft, Donald started the Knowledge and Reasoning group within Microsoft's Bing division, where he innovated "Satori", an internet-scale knowledge graph constructed automatically from the web crawl. He co-founded a semantic computing incubation funded directly by Bill Gates, portions of which shipped as the SQL Server Semantic Engine. Additionally, he created Microsoft's first internet display ad delivery system and led numerous AI/ML initiatives in Microsoft Research across embedded systems, robotics, wearable computing, and privacy-preserving personal data services.

Lunch
Panel
Application & Gen AI Integration (Business Leaders) Track
Data Privacy
Ethical AI
C-Suite
Healthcare
Finance
Manufacturing
Moderator

Author:

Hira Dangol

Vice President, AI/ML & Automation
Bank Of America

Industry experience in AI/ML, engineering, architecture and executive roles in leading technology companies, service providers and Silicon Valley leading organizations. Currently focusing on innovation, disruption, and cutting-edge technologies through startups and technology-driven corporation in solving the pressing problems of industry and world.

Hira Dangol

Vice President, AI/ML & Automation
Bank Of America

Industry experience in AI/ML, engineering, architecture and executive roles in leading technology companies, service providers and Silicon Valley leading organizations. Currently focusing on innovation, disruption, and cutting-edge technologies through startups and technology-driven corporation in solving the pressing problems of industry and world.

Author:

Aruna Narayanan

Principal Software Architect
GE Healthcare

As a Principal Software Architect in GE HealthCare’s AI organization, Aruna leads the architectural effort in building an AI platform that can help build AI models at scale and has successfully contributed to deploying several AI solutions on GEHC devices, on premise and on cloud. She collaborates across multiple GE HealthCare businesses to enable their digital transformation and speed of execution while consuming the AI platform solution.

Aruna Narayanan

Principal Software Architect
GE Healthcare

As a Principal Software Architect in GE HealthCare’s AI organization, Aruna leads the architectural effort in building an AI platform that can help build AI models at scale and has successfully contributed to deploying several AI solutions on GEHC devices, on premise and on cloud. She collaborates across multiple GE HealthCare businesses to enable their digital transformation and speed of execution while consuming the AI platform solution.

Author:

Zafer Sahinoglo, Ph.D.

VP of Business Innovation
Mitsubishi Electric Innovation Center

Zafer Sahinoglo, Ph.D.

VP of Business Innovation
Mitsubishi Electric Innovation Center
Enterprise Use Case

Less than 1 out of 10 marketing campaigns really work. How can AI help generate marketing campaigns that increase the chance of success? In this session, Abbas Arslan will talk us through the experience of The Coca-Cola Company to revitalize their marketing effectiveness with AI at its core.

Application & Gen AI Integration (Business Leaders) Track
Marketing
Business Leader
AI Optimizations
Data Analysis

Author:

Abbas Arslan

Senior Marketing Director
Coca-Cola

Abbas is a Global Marketing leader with expertise in Consumer Marketing, Digital Marketing, Creative Strategy, Innovation Success and Artificial Intelligence.

Over last 20 years, he has positively impacted businesses across 50+ countries through user base acceleration, market share gains and stronger brand building. Abbas has also led the Predictive Insights at Coca-Cola with focus on use of Artificial Intelligence. His work has led to stronger effectiveness while significantly reducing time and cost.

Abbas Arslan

Senior Marketing Director
Coca-Cola

Abbas is a Global Marketing leader with expertise in Consumer Marketing, Digital Marketing, Creative Strategy, Innovation Success and Artificial Intelligence.

Over last 20 years, he has positively impacted businesses across 50+ countries through user base acceleration, market share gains and stronger brand building. Abbas has also led the Predictive Insights at Coca-Cola with focus on use of Artificial Intelligence. His work has led to stronger effectiveness while significantly reducing time and cost.

In an era where artificial intelligence is not just an asset but a necessity, understanding the intricacies of Large Language Models (LLMs) has become paramount for enterprises. This session, 'Understanding and Mitigating Hallucinations in Large Language Models', offers a deep dive into the phenomenon of LLM hallucinations – a critical challenge in the deployment of AI technologies in business environments.


We will explore the mechanics behind LLM hallucinations, shedding light on how these AI models, despite their sophistication, can generate inaccurate or misleading information. From the subtlety of input-conflicting hallucinations to the complexity of context and fact-conflicting errors, we will dissect various types of hallucinations with real-world examples, including notable instances from prominent LLMs.

This talk will not only focus on the identification and detection of such hallucinations but will also present effective strategies for mitigation. We will discuss the role of data quality, model fine-tuning, and advanced techniques like Reinforcement Learning with Human Feedback (RLHF) in reducing the risks of inaccuracies. Furthermore, the session will highlight the importance of balancing the creative potential of LLM hallucinations with the need for factual accuracy, especially in high-stakes business decisions.

Attendees will leave with a comprehensive understanding of the challenges and opportunities presented by LLM hallucinations. This knowledge is crucial for enterprises looking to leverage AI responsibly and effectively, ensuring that their use of these powerful tools aligns with the highest standards of accuracy and reliability in the business world.

Technologist Deep-Dive (Gen AI & Data Science) Track
Retail
Business Leader
Data Science
AI Technologists

Author:

Ved Upadhyay

Senior Data Scientist
Walmart Global Tech

Ved Upadhyay is a seasoned professional in the realm of data science and artificial intelligence (AI). With a focus on addressing complex challenges in data science on an enterprise scale, he boasts over 7 years of hands-on experience in crafting AI-powered solutions for businesses. Ved’s expertise spans diverse industries, including retail, e-commerce, pharmaceuticals, agrotech, and socio-tech, where he has successfully productized multiple machine learning pipelines. Currently serving as a Senior Data Scientist at Walmart, Ved spearheads multiple data science initiatives centered around customer propensity and responsible AI solutions at enterprise scale. Prior to venturing into the industry, Ved earned his master’s degree in Data Science from the University of Illinois at Urbana-Champaign and contributed as a Deep Learning researcher at IIIT Hyderabad. His research contributions are reflected in multiple publications in the field of applied AI. 

Ved Upadhyay

Senior Data Scientist
Walmart Global Tech

Ved Upadhyay is a seasoned professional in the realm of data science and artificial intelligence (AI). With a focus on addressing complex challenges in data science on an enterprise scale, he boasts over 7 years of hands-on experience in crafting AI-powered solutions for businesses. Ved’s expertise spans diverse industries, including retail, e-commerce, pharmaceuticals, agrotech, and socio-tech, where he has successfully productized multiple machine learning pipelines. Currently serving as a Senior Data Scientist at Walmart, Ved spearheads multiple data science initiatives centered around customer propensity and responsible AI solutions at enterprise scale. Prior to venturing into the industry, Ved earned his master’s degree in Data Science from the University of Illinois at Urbana-Champaign and contributed as a Deep Learning researcher at IIIT Hyderabad. His research contributions are reflected in multiple publications in the field of applied AI. 

Enterprise Use Case
Networking Break
Enterprise Keynote

At the turn of the millennium, in their seminal book 'Discipline of Market Leaders, the authors Michael Treacy and Fred Wiersema posited that Excellence could be grouped into three dimensions - product leadership, operational excellence, and customer intimacy. Two decades later, we revisit these dimensions in light of the perfect storm of AI and present use cases that help companies transform through a step-change in their market leadership by thoughtfully and deliberately implementing AI in their functions to gain a step-change in performance improvement along with revenue, costs, and overall profitability. 

Application & Gen AI Integration (Business Leaders) Track
Advertising
Business Leader
C-Suite
Customer Experience

Author:

Das Dasgupta

Former CDO
Saatchi and Saatchi

Former CDAIO, Saatchi & Saatchi; Adjunct Professor of Data Science & Operations (DSO) at USC Marshall School of Business.

Dr. Das Dasgupta was most recently the Chief Data Officer at Saatchi & Saatchi (S&S), an advertising agency owned by the $11B Publicis Groupe. His prior leadership roles include Global SVP of Data Science and Digital Transformation at Viacom, L8 Director at Amazon with four L8 reports, and Partner at McKinsey and EY.

Das is an expert in utilizing data and artificial intelligence to grow revenues and cut business costs. He structures this through three lenses - product leadership, operational excellence, and customer intimacy. This includes building top-tier data strategy teams and systems with the right AI and machine learning technologies so that companies can make informed data-driven decisions related to marketing & advertising, operations/supply chain, and back-office automation with proven ROI.

A few examples include building an AI/ML powered system for S&S that helped increase return on ad spend for their clients by an average of 40%, automating the order-to-cash, procure-to-pay, and records-to-reports systems for Viacom’s back office (saving $30M over two years), and also developing Amazon’s process of taking a picture of a delivered package and sending it to the customer which significantly improved the customer experience and saved $100M+ in costs for Amazon. Across the companies Dr. Dasgupta has been involved with, his work has contributed to over $500M in cost savings and revenue growth.

 

Das Dasgupta

Former CDO
Saatchi and Saatchi

Former CDAIO, Saatchi & Saatchi; Adjunct Professor of Data Science & Operations (DSO) at USC Marshall School of Business.

Dr. Das Dasgupta was most recently the Chief Data Officer at Saatchi & Saatchi (S&S), an advertising agency owned by the $11B Publicis Groupe. His prior leadership roles include Global SVP of Data Science and Digital Transformation at Viacom, L8 Director at Amazon with four L8 reports, and Partner at McKinsey and EY.

Das is an expert in utilizing data and artificial intelligence to grow revenues and cut business costs. He structures this through three lenses - product leadership, operational excellence, and customer intimacy. This includes building top-tier data strategy teams and systems with the right AI and machine learning technologies so that companies can make informed data-driven decisions related to marketing & advertising, operations/supply chain, and back-office automation with proven ROI.

A few examples include building an AI/ML powered system for S&S that helped increase return on ad spend for their clients by an average of 40%, automating the order-to-cash, procure-to-pay, and records-to-reports systems for Viacom’s back office (saving $30M over two years), and also developing Amazon’s process of taking a picture of a delivered package and sending it to the customer which significantly improved the customer experience and saved $100M+ in costs for Amazon. Across the companies Dr. Dasgupta has been involved with, his work has contributed to over $500M in cost savings and revenue growth.

 

Artificial intelligence (AI) stands at the forefront of enterprise innovation, offering unparalleled opportunities for growth, efficiency, and competitive advantage. However, the journey toward AI optimization is fraught with challenges, from legacy infrastructures to strategic alignment and workforce readiness. This keynote speech will navigate the complex landscape of AI integration, presenting a comprehensive roadmap tailored for Fortune 500 companies ready to harness the power of generative AI.

Technologist Deep-Dive (Gen AI & Data Science) Track
Retail
Business Leader
Data Science
AI Technologists

Author:

Dr. Astha Purohit

Director - Product (Tech) Ops
Walmart

Astha is a global leader in Retail with extensive expertise in artificial intelligence and generative AI. She has advised Fortune 500 companies and senior C-suite leaders on driving innovation and growth in Retail to deliver amazing customer experiences.

She is a former McKinsey consultant and an MBA graduate from MIT Sloan. Currently she is a Director at Walmart spearheading AI and ML model development and deployment across the Walmart product eco-system.

Dr. Astha Purohit

Director - Product (Tech) Ops
Walmart

Astha is a global leader in Retail with extensive expertise in artificial intelligence and generative AI. She has advised Fortune 500 companies and senior C-suite leaders on driving innovation and growth in Retail to deliver amazing customer experiences.

She is a former McKinsey consultant and an MBA graduate from MIT Sloan. Currently she is a Director at Walmart spearheading AI and ML model development and deployment across the Walmart product eco-system.

Panel
Application & Gen AI Integration (Business Leaders) Track
Investment
System Interfacing
LLM Implementation & Optimizing
Moderator

Author:

Yvonne Lutsch

Investment Principal
Bosch Ventures

Yvonne is an accomplished Investment Principal at Bosch Ventures affiliate office located in Sunnyvale, and sources, evaluates, and executes venture capital deals in North America. Her specialty are investments in deep tech fields such as AI, edge and next gen. computing incl. quantum, robotics, industrial IoT, mobility, climate tech, semiconductors, or sensors. She is an investor and non-executive board member of Bosch Ventures’ portfolio companies Syntiant, Zapata AI, UltraSense Systems, Aclima, and Recogni.
Prior to this position Yvonne was Director of Technology Scouting and Business Development, building up an Innovation Hub in Silicon Valley including startup scouting, business development while advising executives of the Bosch business units on their strategy. She has more than two decades of solid experience in manufacturing operations and engineering in the automotive and consumer electronics space – gained through different executive roles at Bosch in Germany.
Yvonne received a diploma in Experimental Physics from University of Siegen, Germany, and holds a PhD in Applied Physics from University of Tuebingen, Germany.

Yvonne Lutsch

Investment Principal
Bosch Ventures

Yvonne is an accomplished Investment Principal at Bosch Ventures affiliate office located in Sunnyvale, and sources, evaluates, and executes venture capital deals in North America. Her specialty are investments in deep tech fields such as AI, edge and next gen. computing incl. quantum, robotics, industrial IoT, mobility, climate tech, semiconductors, or sensors. She is an investor and non-executive board member of Bosch Ventures’ portfolio companies Syntiant, Zapata AI, UltraSense Systems, Aclima, and Recogni.
Prior to this position Yvonne was Director of Technology Scouting and Business Development, building up an Innovation Hub in Silicon Valley including startup scouting, business development while advising executives of the Bosch business units on their strategy. She has more than two decades of solid experience in manufacturing operations and engineering in the automotive and consumer electronics space – gained through different executive roles at Bosch in Germany.
Yvonne received a diploma in Experimental Physics from University of Siegen, Germany, and holds a PhD in Applied Physics from University of Tuebingen, Germany.

Author:

Mike Shirazi

General Partner
Pursuit Ventures

Mike Shirazi

General Partner
Pursuit Ventures
Technologist Deep-Dive (Gen AI & Data Science) Track
AI Safety
AI Technologists
Data Science
C-Suite

Author:

Jonathan Bennion

AI Engineer
Rackspace

Jonathan Bennion

AI Engineer
Rackspace

Author:

John Almasan

Senior Managing Director, Head of AI & Emerging Tech
TIAA

Dr. John Almasan is an accomplished technology executive with over 20 years of experience leading global tech teams and building large-scale data, AI, and cloud platforms for prominent companies such as TIAA, McKinsey & Co., American Express, Bank of America, and Nationwide Insurance. With deep expertise in multi-cloud big data engineering, machine learning, and data science, John is a hands-on practitioner and passionate about enabling the acceleration of AI adoption.

As an adjunct professor at various universities and a member of Arizona State University's Executive Board of Advisors, John is committed to preparing the next generation to meet the future's skillset needs and demands. He focuses on employee cross-training and actively engages in teaching and mentoring students in the field.

John holds two master's degrees in Engineering and Statistics, a Doctor of Business Administration, and has over 20+ patents credited to his name. He has received several awards throughout his career for his contributions to the technology industry.

John Almasan

Senior Managing Director, Head of AI & Emerging Tech
TIAA

Dr. John Almasan is an accomplished technology executive with over 20 years of experience leading global tech teams and building large-scale data, AI, and cloud platforms for prominent companies such as TIAA, McKinsey & Co., American Express, Bank of America, and Nationwide Insurance. With deep expertise in multi-cloud big data engineering, machine learning, and data science, John is a hands-on practitioner and passionate about enabling the acceleration of AI adoption.

As an adjunct professor at various universities and a member of Arizona State University's Executive Board of Advisors, John is committed to preparing the next generation to meet the future's skillset needs and demands. He focuses on employee cross-training and actively engages in teaching and mentoring students in the field.

John holds two master's degrees in Engineering and Statistics, a Doctor of Business Administration, and has over 20+ patents credited to his name. He has received several awards throughout his career for his contributions to the technology industry.

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