Consultancies/Accountancies/Law Firms

Why should Consultancies/Accountancies/Law Firms Attend Enterprise Generative AI Summit West?

Join us to meet potential clients interested in applying Generative AI within their organizations. Connect with leaders in the Generative AI field who are developing software applications, middleware platforms, and foundation models for improved interfacing, faster training times, and safer systems for enterprises, cloud service providers, and hyperscalers.

The Enterprise Generative AI Summit West offers insights from data science experts on enhancing system outputs and reducing data leakages and hallucinations. Investors also attend, as they are interested in advanced software application interfacing, practical middleware, and robust foundation models.

The conference features two tracks: one on business applications of Generative AI systems, and another on the role of data science in creating new Generative AI capabilities. This event will help you understand the roadmap for enterprise-level adoption of Generative AI and connect you with decision-makers in the field.

Don’t miss this opportunity to connect with investors, enterprises, and cloud service providers. We look forward to your participation.

Featured Speakers Include

Animesh Singh

Executive Director, AI & Machine Learning

Shaloo Garg

Managing Director

Microsoft - Late Stage Startups & Unicorns

Aku Aakriti Srikanth

Founding Partner

WomenOfAI Ventures

Prasad Saripalli

Distinguished Engineer

Capital One

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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

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.

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.

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.

Best Practices for Harnessing Generative AI Capabilities in the Enterprise to Enhance Customer Servicing Experiences

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.

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.

Author:

Franz Zemen

VP of Software Engineering

Capital One

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