Cloud Service Providers/Hyperscalers | Kisaco Research

Cloud Service Providers/Hyperscalers

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

Why should Cloud Service Providers/ Hyperscalers Attend Enterprise Generative AI Summit West?

Join us to network with cloud service market peers and formulate Generative AI offerings. Learn from decision-makers across sectors like finance, pharma, retail, and manufacturing to understand Generative AI adoption drivers and emerging use cases. This event will provide insights into the roadmap for enterprise-level adoption of Generative AI and connect you with key decision-makers.

Connect with hardware partners to understand Generative AI infrastructure costs and software, middleware, and foundation model offerings from across the Generative AI ecosystem.

Our conference features two tracks: business applications of Generative AI systems, and the role of data science in creating new Generative AI capabilities.

Don’t miss this chance to connect with enterprises, Generative AI vendors and fellow cloud service providers/hyperscalers. We look forward to your participation.

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Featured Speakers Include

 

Dr. Satyam Priyadarshy

Chief AI Officer & Quantum Expert
Reignite Future

Dr. Satyam Priyadarshy

Chief AI Officer & Quantum Expert
Reignite Future

Dr. Satyam Priyadarshy

Chief AI Officer & Quantum Expert
Reignite Future
 

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.

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Hira Dangol

Vice President, AI/ML & Automation
Bank Of America

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.

 

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.

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Aruna Narayanan

Principal Software Architect
GE Healthcare

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.

 

Zafer Sahinoglo, Ph.D.

VP of Business Innovation
Mitsubishi Electric Innovation Center

Dr. Zafer Sahinoglu received his M.B.A. degree from Massachusetts Institute of Technology in 2013, and Ph.D. degree in Electrical Engineering and M.Sc. degree in Biomedical Engineering from New Jersey Institute of Technology, Newark, NJ, in years 2002 and 1998, respectively.

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Zafer Sahinoglo, Ph.D.

VP of Business Innovation
Mitsubishi Electric Innovation Center

Zafer Sahinoglo, Ph.D.

VP of Business Innovation
Mitsubishi Electric Innovation Center

Dr. Zafer Sahinoglu received his M.B.A. degree from Massachusetts Institute of Technology in 2013, and Ph.D. degree in Electrical Engineering and M.Sc. degree in Biomedical Engineering from New Jersey Institute of Technology, Newark, NJ, in years 2002 and 1998, respectively.

He was a senior principal research scientist in MERL between 2001 and 2016. His technical expertise includes stochastic signal processing, space-time adaptive processing, ultra-wideband and OFDMA wireless communications, and indoor localization and tracking, biomedical signal processing, Li-ion battery modeling.

He worked in Japan for 6 months in 2014 to promote new software and service based business models in various business divisions. He formed a Vision 2020 Business Innovation group in Mitsubishi Electric US in 2016, where his team developed several SaaS platforms. He has been leading and managing product design and agile product development, building business models, developing technology strategies, and bundling these steps into customized processes with continuous innovation.

He is an inventor on more than 80 patents, has co-authored more than 100 international journal and conference papers, made more than 50 contributions to international standards including ZigBee, IEEE 802.15.4a UWB PHY and MAC, IEEE 802.15.4e MAC, and MPEG 21. He has written two books on wireless communication and localization systems published by Cambridge University Press. He also earned Docent Dr. (Associate Prof.) title in Turkey in 2012 in Electrical Engineering.

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Agenda highlights

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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.

... read more

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.

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.

... read more

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.
... read more

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.

Building Data Foundation For Responsible AI To Drive Business Advantage

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.

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.

... read more

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.

Lessons Learnt From Enterprise Use Cases In The Energy Industry

Author:

Dr. Satyam Priyadarshy

Chief AI Officer & Quantum Expert
Reignite Future
... read more

Dr. Satyam Priyadarshy

Chief AI Officer & Quantum Expert
Reignite Future

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