The Enterprise Generative AI Summit West (May 21-22, 2024, Silicon Valey, CA) is the premier conference on the West Coast for AI practitioners, data scientists and business leaders looking to adopt Generative AI capabilities within organisations. The conference is split into two tracks: data science and business-level decision-making, to take advantage of technical and senior management expertise.
Why are we unique?
Two- Track Agenda
Two-track event representing the C-suite and business decision-makers looking to increase investment in Gen AI technology and transform business practices. The second track represents the AI technologists, model builders and internal data science teams within enterprises. Giving you exposure to both teams to aid in the understanding of where and why Gen AI can be adopted.
Adoption & Integration
Both tracks focused on realistic enterprise adoption of Generative AI. Programme goes beyond just the adoption results of Gen AI, but also the data foundation that must be created to harness the power of Gen AI. Equipping you with the tools and background knowledge on how to adopt Gen AI.
Building AI Safety
Goes beyond initial conversations of why AI safety is needed and instead delves into the technical construction of privacy, security, and hallucination-prevention to help mitigate adoption risk. Helping you understand the risks associated with Gen AI and arming you with best practices to avoid costly mistakes.
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Download our community brochureCheck out our networking brochure for a breakdown of the Enterprise Gen AI Summit focus and company category, a snapshot of what your peers are talking about, and why join the network. -
Download our 2023 post-show reportDiscover the journey of the future of Generative AI with our comprehensive post-show report. Explore key takeaways, top speakers, an audience breakdown, and more! -
Register your interest in attendingAre you interested in joining us this May at the Enterprise Generative AI Summit? Register your interest to be the first notified when registration opens!
Why Attend
Enterprise Generative AI Summit West brings together enterprise-level industry leaders with AI/ML practitioners in a unique and meaningful forum of ideas with multi-industry experience. Our network is uniquely positioned to inform on use cases, curate ideas for Generative AI techniques and plan for the infrastructural demands of these advanced systems.
With individuals predominantly in finance, medical research/drug discovery, pharmaceuticals, manufacturing, retail/consumer, transport, and communications, we have a wide range of AI experts to connect, network and learn from.
Generative AI Practitioners/Data Scientists
We have a dedicated track for the most pressing data science issues – discussing AI infrastructure across departments – from managing complex data operations to technical deep dives into reducing token amounts to create efficiency gains. Furthermore, learn from AI model builders how they create robust systems for data compliance, manage model garden offerings and differentiate between proprietary/private and public data sources while considering weights and biases.
Business Leaders
Learn about Generative AI use case product offerings and get a handle on total cost of ownership considerations. Our headline sessions focus on understanding the core business needs and use cases for on-premise and cloud infrastructure, Generative AI return-on-investment (ROI) and presenting use cases for Generative AI cross-department pollination of systems and capabilities. Automating current practices, implementing LLMs, benchmarking AI product progression, and advancing customer service optimizations. Along with discovering possibilities for the next wave of Generative AI applications and the need for greater system interfacing.
Generative AI Model Builders
Meet your peers working on similar models, other technologists developing internal enterprise models and hyperscalers producing systems at scale. Connect and partner with individuals and companies across the technology and enterprise spectrum to advance and advocate your business's platform and services. Moreover, we have dedicated sessions illustrating the core needs of enterprises in adopting Generative AI techniques and applications and panels by investors deliberating on the next Generative AI investment wave.
Hardware Technology Vendors, Consultancies, VCs, and Start-Ups
Understand the pressure points for enterprises and meet, network and partner with industry leaders from hyperscalers, cloud service providers, enterprises, and investment firms. Our sessions include infrastructure hardware planning, re-imagining data science workflow dynamics, building and training Generative AI models and implementing emerging technologies and AI use cases within both start-up and large enterprise environments.
2024 Featured Speakers
Shaloo Garg
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.
Ranjan Sinha, Ph.D.
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.
Aku Aakriti Srikanth
- 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 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.
Hira Dangol
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.
Zafer Sahinoglo, Ph.D.
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.
Industry Verticals Represented Include...
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ConsumerWalmart, Coca-Cola, Pinterest -
Manufacturing & EnergyMitsubishi Electric Innovation Center, Reignite Future -
FinanceBank of America, Citigroup, Capital One, LTX Trading, Women Of AI, Bosch Ventures, B Capital Group, Hitachi Ventures, Pursuit Ventures
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Pharma & HealthcareAmgen, CVS Health, GE Healthcare -
Communications, Search & Social MediaLinkedIn, Saatchi & Saatchi, You.com -
TechMicrosoft, IBM, Adobe, Royal NLR, Data Camp
