Technology Investors | Kisaco Research

Technology Investors

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

Why should Technology Investors Attend Enterprise Generative AI Summit West?

Join a network of investors and start-up companies to see the latest and greatest Generative AI start-ups within the software application, middleware, and foundation model builders. Dive deeper into the market with analyst-style talks on interfacing, open-source models, and infrastructure investment trends.

This conference offers two tracks. The first focuses on the business applications of Generative AI systems, while the second explores the role of data science in constructing new Generative AI capabilities. This dual-track event provides you with the tools to learn more about the roadmap for Generative AI enterprise-level adoption. It also offers an intimate exhibition-booth experience to help you understand the technology behind the trends.

Lastly, hear from hyperscalers and cloud providers about the consolidation of Generative AI product offerings on larger platforms. This gives you a competitive edge among your peers by providing access to senior leaders within the cloud computing space.

Don’t miss out on this opportunity to expand your knowledge and network in the Generative AI field.

REGISTER YOUR INTEREST

Featured Speakers Include

 

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.

Shaloo Garg

Managing Director
Microsoft - Late Stage Startups & Unicorns

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.

 

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.

Aku Aakriti Srikanth

Founding Partner
WomenOfAI Ventures

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.
 

Animesh Singh

Executive Director, AI & Machine Learning
LinkedIn

Executive Director, AI and ML Platform at LinkedIn | Ex IBM Senior Director and Distinguished Engineer, Watson AI and Data | Founder at Kubeflow | Ex LFAI Trusted AI NA Chair

Animesh Singh

Executive Director, AI & Machine Learning
LinkedIn

Animesh Singh

Executive Director, AI & Machine Learning
LinkedIn

Executive Director, AI and ML Platform at LinkedIn | Ex IBM Senior Director and Distinguished Engineer, Watson AI and Data | Founder at Kubeflow | Ex LFAI Trusted AI NA Chair

Animesh is the Executive Director leading the next generation AI and ML Platform at LinkedIn, enabling creation of AI Foundation Models Platform, serving the needs of 930+ Million members of LinkedIn. Building Distributed Training Platform, Machine Learning Pipelines, Feature Pipelines, Metadata engine etc. Leading the creation of LinkedIn GAI platform for fine tuning, experimentation and inference needs. Animesh has more than 20 patents, and 50+ publications. 

Past IBM Watson AI and Data Open Tech CTO, Senior Director and Distinguished Engineer, with 20+ years experience in Software industry, and 15+ years in AI, Data and Cloud Platform. Led globally dispersed teams, managed globally distributed projects, and served as a trusted adviser to Fortune 500 firms. Played a leadership role in creating, designing and implementing Data and AI engines for AI and ML platforms, led Trusted AI efforts, drove the strategy and execution for Kubeflow, OpenDataHub and execution in products like Watson OpenScale and Watson Machines Learning.

 

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 Dasgupta

Former CDO
Saatchi and Saatchi

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.

 

Agenda highlights


How To Prepare Your Board and C-Suite For AI

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.

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.

GAI and AI Platform Evolution: From LLMs to Distributed Multi-Agents, and Everything In-Between

GAI has driven a huge revolution in how AI platforms are designed, architected, and scaled for training, fine tuning, evaluation, inferencing and GAI application engineering needs using RAG, embeddings and distributed multi-agents frameworks. In this session we will deep dive into the (re)evolution of AI platforms and various technologies to scale this for next generation GAI needs.

Author:

Animesh Singh

Executive Director, AI & Machine Learning
LinkedIn

Executive Director, AI and ML Platform at LinkedIn | Ex IBM Senior Director and Distinguished Engineer, Watson AI and Data | Founder at Kubeflow | Ex LFAI Trusted AI NA Chair

Animesh is the Executive Director leading the next generation AI and ML Platform at LinkedIn, enabling creation of AI Foundation Models Platform, serving the needs of 930+ Million members of LinkedIn. Building Distributed Training Platform, Machine Learning Pipelines, Feature Pipelines, Metadata engine etc. Leading the creation of LinkedIn GAI platform for fine tuning, experimentation and inference needs. Animesh has more than 20 patents, and 50+ publications. 

Past IBM Watson AI and Data Open Tech CTO, Senior Director and Distinguished Engineer, with 20+ years experience in Software industry, and 15+ years in AI, Data and Cloud Platform. Led globally dispersed teams, managed globally distributed projects, and served as a trusted adviser to Fortune 500 firms. Played a leadership role in creating, designing and implementing Data and AI engines for AI and ML platforms, led Trusted AI efforts, drove the strategy and execution for Kubeflow, OpenDataHub and execution in products like Watson OpenScale and Watson Machines Learning.

Animesh Singh

Executive Director, AI & Machine Learning
LinkedIn

Executive Director, AI and ML Platform at LinkedIn | Ex IBM Senior Director and Distinguished Engineer, Watson AI and Data | Founder at Kubeflow | Ex LFAI Trusted AI NA Chair

Animesh is the Executive Director leading the next generation AI and ML Platform at LinkedIn, enabling creation of AI Foundation Models Platform, serving the needs of 930+ Million members of LinkedIn. Building Distributed Training Platform, Machine Learning Pipelines, Feature Pipelines, Metadata engine etc. Leading the creation of LinkedIn GAI platform for fine tuning, experimentation and inference needs. Animesh has more than 20 patents, and 50+ publications. 

Past IBM Watson AI and Data Open Tech CTO, Senior Director and Distinguished Engineer, with 20+ years experience in Software industry, and 15+ years in AI, Data and Cloud Platform. Led globally dispersed teams, managed globally distributed projects, and served as a trusted adviser to Fortune 500 firms. Played a leadership role in creating, designing and implementing Data and AI engines for AI and ML platforms, led Trusted AI efforts, drove the strategy and execution for Kubeflow, OpenDataHub and execution in products like Watson OpenScale and Watson Machines Learning.

Unlocking General-Purpose AI Application In The Enterprise, An Example From Customer Experience

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. 

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.

 

Investment In Generative AI-Specific Infrastructure For Cost & Energy Reduction

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.

Author:

Parasvil Patel

Partner
Radical Ventures

Parasvil Patel is a Partner with Radical Ventures where he works with entrepreneurs building and deploying AI technologies. Prior to joining Radical, Parasvil was with KKR and started his career with BCG. Parasvil holds an MBA from Harvard Business School and received a B.Tech. in Electrical Engineering from IIT Bombay.

Parasvil Patel

Partner
Radical Ventures

Parasvil Patel is a Partner with Radical Ventures where he works with entrepreneurs building and deploying AI technologies. Prior to joining Radical, Parasvil was with KKR and started his career with BCG. Parasvil holds an MBA from Harvard Business School and received a B.Tech. in Electrical Engineering from IIT Bombay.

Author:

John Wei

Venture Investment Director
Applied Ventures

John Wei is a venture investment director at Applied Ventures. He focuses on a range of deep tech areas and industry verticals, including advanced materials, semiconductor manufacturing and industrial & enterprise software. He also manages Applied Ventures’ investment activities in the Greater China region.

Prior to joining Applied, John was a key member of the SABIC Ventures investment team, where he led multiple investments in advanced materials, energy, sustainability, manufacturing and agriculture space in North America, Europe and Greater China.

Earlier in his career, John held various commercial and technical roles at The Linde Group and General Electric with experiences mostly in the petrochemical, power generation, alternative energy and oil & gas industries.

John has a Bachelor degree from Tsinghua University and a PhD from Rutgers University, both in Chemical Engineering. While at Rutgers, he also earned a Master's degree in Computer Science. In addition, John holds an MBA degree from UCLA with a focus in Finance and Entrepreneurship.

John Wei

Venture Investment Director
Applied Ventures

John Wei is a venture investment director at Applied Ventures. He focuses on a range of deep tech areas and industry verticals, including advanced materials, semiconductor manufacturing and industrial & enterprise software. He also manages Applied Ventures’ investment activities in the Greater China region.

Prior to joining Applied, John was a key member of the SABIC Ventures investment team, where he led multiple investments in advanced materials, energy, sustainability, manufacturing and agriculture space in North America, Europe and Greater China.

Earlier in his career, John held various commercial and technical roles at The Linde Group and General Electric with experiences mostly in the petrochemical, power generation, alternative energy and oil & gas industries.

John has a Bachelor degree from Tsinghua University and a PhD from Rutgers University, both in Chemical Engineering. While at Rutgers, he also earned a Master's degree in Computer Science. In addition, John holds an MBA degree from UCLA with a focus in Finance and Entrepreneurship.