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2024 Agenda

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Tuesday, 21 May, 2024
9:00 - 10:00
Registration & Networking
10:00 - 10:30
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.

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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.

10:30 - 11:00
Headline Sponsor Keynote
11:30-12:00
Partner Keynote

In the ever-evolving generative AI landscape, GPUs have remained the dominant architecture for running large AI models. However, GPUs rely on brute force and are incredibly inefficient, not to mention increasingly unavailable. It’s clearly time for a change. It’s time for the comeback of the CPU.

You may be surprised to learn that running AI models on CPUs can bring about significant performance enhancements and incredible flexibility. By taking advantage of the rapidly evolving CPU architecture and mapping our unique neuroscience-based optimizations to it, Numenta is bringing this technological revolution to the generative AI field today. 

This presentation will explore:

  1. The benefits of embracing CPU-based AI, from reducing the cost and complexities associated with GPUs to increasing flexibility and scalability. 
  2. The latest advancements in Numenta’s neuroscience-based AI platform, NuPIC, the Numenta Platform for Intelligent Computing.
  3. Practical applications of CPU-based generative AI through a customer success story
C-Suite
AI Technologists
Business Leader
Digital Change
Infrastructure Procurement
AI Implementation

Author:

Subutai Ahmad

CEO
Numenta

Subutai is passionate about neuroscience, deep learning, and building intelligent systems. An accomplished technologist, he has been instrumental in driving Numenta’s research, technology and business since 2005. He previously served as VP Engineering at YesVideo where he helped grow the company from a three-person start-up to a leader in automated digital media authoring. In 1997, Subutai co-founded ePlanet Interactive which developed the IntelPlay Me2Cam, the first computer vision product developed for consumers. Subutai holds a B.S. in Computer Science from Cornell University, and a Ph.D in Computer Science from the University of Illinois at Urbana-Champaign.

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Subutai Ahmad

CEO
Numenta

Subutai is passionate about neuroscience, deep learning, and building intelligent systems. An accomplished technologist, he has been instrumental in driving Numenta’s research, technology and business since 2005. He previously served as VP Engineering at YesVideo where he helped grow the company from a three-person start-up to a leader in automated digital media authoring. In 1997, Subutai co-founded ePlanet Interactive which developed the IntelPlay Me2Cam, the first computer vision product developed for consumers. Subutai holds a B.S. in Computer Science from Cornell University, and a Ph.D in Computer Science from the University of Illinois at Urbana-Champaign.

12:00 - 1:15
Lunch and networking
1:15 - 2:00
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.

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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.

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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.

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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.

Author:

Santosh Raghavan

Sr. Staff Hardware Technologist
Groq

Santosh Raghavan is a seasoned hardware technologist at Groq, where he drives innovation in high-performance and energy-efficient solutions for Generative AI applications. His expertise lies in evaluating and designing cutting-edge technologies that deliver exponential improvements in performance per dollar and performance per watt. Building on his experience in advanced memory development at Intel and high-speed digital and analog circuits at MaxLinear, he leverages his PhD in Semiconductor Materials from UCSB to push the boundaries of what's possible.

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Santosh Raghavan

Sr. Staff Hardware Technologist
Groq

Santosh Raghavan is a seasoned hardware technologist at Groq, where he drives innovation in high-performance and energy-efficient solutions for Generative AI applications. His expertise lies in evaluating and designing cutting-edge technologies that deliver exponential improvements in performance per dollar and performance per watt. Building on his experience in advanced memory development at Intel and high-speed digital and analog circuits at MaxLinear, he leverages his PhD in Semiconductor Materials from UCSB to push the boundaries of what's possible.

Business Leader and Data Science Tracks Starts
2:00 - 2:25
Enterprise Use Case
Application & Gen AI Integration (Business Leaders) Track
Business Leader
C-Suite
AI Implementation
AI Technologists

Author:

Hussain Chinoy

Technical Solutions Manager, Applied AI Engineering
Google

Hussain has a background in linguistics and software applications and has been working on building speech and conversational systems for the last 20 years. As a Technical Solutions Manager for Generative AI on the Applied AI Engineering team he focuses on combining Google Cloud services into solutions that accelerate customers usage of AI, including Generative AI for Marketing, Customer Experience, and Website Modernization. His technical areas of interest are in Conversation, Ethics and Governance, and application architecture. Hussain joined Google in 2020 as an application modernization and AI specialist.

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Hussain Chinoy

Technical Solutions Manager, Applied AI Engineering
Google

Hussain has a background in linguistics and software applications and has been working on building speech and conversational systems for the last 20 years. As a Technical Solutions Manager for Generative AI on the Applied AI Engineering team he focuses on combining Google Cloud services into solutions that accelerate customers usage of AI, including Generative AI for Marketing, Customer Experience, and Website Modernization. His technical areas of interest are in Conversation, Ethics and Governance, and application architecture. Hussain joined Google in 2020 as an application modernization and AI specialist.

2:25 - 2:50
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.

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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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Franz Zemen

VP of Software Engineering
Capital One

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.

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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.

2:50 - 3:15
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. 

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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. 

Dive into the transformative world of Generative AI. Join Juergen Weichenberger VP AI Strategy & Innovation, Schneider Electric, discussing how it’s revolutionizing work process, integrating information and deducting knowledge. You will learn how GenAI unleashes a range of options for industrial applications, from PLC code generation to large visions models for quality & safety assurance, supply chain, order management, and beyond. During the session we will emphasize the advantages and challenges of GenAI in PLC code generation use cases.

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

Author:

Juergen Weichenberger

VP of AI Strategy & Innovation
Schneider 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.

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Juergen Weichenberger

VP of AI Strategy & Innovation
Schneider 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.

3:15 - 3:45
Networking break
3:45 - 4:30
Panel
Application & Gen AI Integration (Business Leaders) Track
AI Implementation
Systems Selection
AI Investment

Author:

Brandon Walker

Enterprise AI Strategy Lead
Rocket Companies

Brandon Walker is the Enterprise AI Strategy Lead at Rocket Companies. In this role, he is responsible for driving the strategy and architecture for the technology, data and analytics that power the Rocket Company’s fintech platforms—ensuring a consistent, seamless experience for clients across the Rocket Companies ecosystem and driving its growth from mortgage and real estate to personal finance.

Brandon holds a bachelor’s degree from Georgia College and State University and a master’s degree from Harvard University. He and his family reside in Charleston, South Carolina. 

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Brandon Walker

Enterprise AI Strategy Lead
Rocket Companies

Brandon Walker is the Enterprise AI Strategy Lead at Rocket Companies. In this role, he is responsible for driving the strategy and architecture for the technology, data and analytics that power the Rocket Company’s fintech platforms—ensuring a consistent, seamless experience for clients across the Rocket Companies ecosystem and driving its growth from mortgage and real estate to personal finance.

Brandon holds a bachelor’s degree from Georgia College and State University and a master’s degree from Harvard University. He and his family reside in Charleston, South Carolina. 

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.

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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.

Author:

Austin Vance

CEO
Focused Labs

Austin Vance, the co-founder and CEO of Focused Labs, brings a dynamic blend of technical prowess and leadership to the forefront of the software industry. With a career spanning 24 years in software development, he has a rich history of leading high-performing engineering teams at organizations such as Pivotal and PayPal. This extensive experience has not only honed his expertise in the field but also deepened his commitment to delivering exceptional customer service through innovative software solutions. Under his guidance, Focused Labs excels in providing customers with custom software solutions that drive growth, enhance efficiency, and foster innovation, solidifying its position as a trusted partner in the tech ecosystem.

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Austin Vance

CEO
Focused Labs

Austin Vance, the co-founder and CEO of Focused Labs, brings a dynamic blend of technical prowess and leadership to the forefront of the software industry. With a career spanning 24 years in software development, he has a rich history of leading high-performing engineering teams at organizations such as Pivotal and PayPal. This extensive experience has not only honed his expertise in the field but also deepened his commitment to delivering exceptional customer service through innovative software solutions. Under his guidance, Focused Labs excels in providing customers with custom software solutions that drive growth, enhance efficiency, and foster innovation, solidifying its position as a trusted partner in the tech ecosystem.

4:30 - 5:00
Enterprise Use Case

This presentation explores the integration of generative AI in healthcare and pharmacology, highlighting advancements in prompt engineering and its impact on decision-making. The session will examine the complexities and variability of AI responses and the difficulties in establishing a reliable ground truth, emphasizing the need for structured and reproducible outputs to support clinical and business processes efficiently.

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.

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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.

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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
10:00 - 10:30
Technology Keynote

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.

AI Agents
C-Suite
Business Leader
AI Implementation

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.

10:30 - 11:00
Partner Keynote

With GenAI (Generative AI) leading the way, in today’s rapidly evolving digital landscape, the integration of Conventional and Generative AI in enterprises and businesses offers a transformative potential that can redefine how they operate, innovate, and deliver value to their customers.

Being at the forefront of this paradigm disruption, Hexaware has been empowering industry leaders to make smarter choices, radically accelerate productivity, secure organizations, maximize data potential, and revolutionize customer experiences by strategically aligning GenAI capabilities with specific business goals through a structured approach driven by feasibility, relevance, and ROI.

Join us for an insightful fireside chat which aims to demystify the complexities of implementing GenAI and AI at scale, offering a roadmap for organizations looking to leverage these technologies for competitive advantage.

 

C-Suite
Business Leader
AI Implementation
AI Technologists
Digital Change
Infrastructure Procurement

Author:

Arun ‘Rak’ Ramchandran

President & Global Head – Consulting & GenAI Practice, Hi-Tech & Professional Services
Hexaware

Rak stands at the forefront of cutting-edge technology and business transformation as the President and Global Head of GenAI Consulting and Practice at Hexaware. Since joining the organization in 2017, Rak has been instrumental in leading the Hi-Tech, Platforms, and Professional Services (HTPS) vertical BU as well, driving significant growth and innovation.

Under Rak's visionary leadership, Hexaware launched its GenAI Consulting and Practice Unit, marking a pivotal shift towards becoming an AI-first company. As the head of consulting, Rak orchestrates Hexaware’s comprehensive enterprise architecture and technology consulting services, encompassing a broad spectrum of service lines and digital transformation capabilities tailored for diverse industry segments. Rak’s prior experience with Capgemini & Infosys provides him with the perspective and insights into successful technology service organizations, and his base in Silicon Valley gives him the network and vantage point in interpreting and getting ahead of emerging technology trends.

... read more

Arun ‘Rak’ Ramchandran

President & Global Head – Consulting & GenAI Practice, Hi-Tech & Professional Services
Hexaware

Rak stands at the forefront of cutting-edge technology and business transformation as the President and Global Head of GenAI Consulting and Practice at Hexaware. Since joining the organization in 2017, Rak has been instrumental in leading the Hi-Tech, Platforms, and Professional Services (HTPS) vertical BU as well, driving significant growth and innovation.

Under Rak's visionary leadership, Hexaware launched its GenAI Consulting and Practice Unit, marking a pivotal shift towards becoming an AI-first company. As the head of consulting, Rak orchestrates Hexaware’s comprehensive enterprise architecture and technology consulting services, encompassing a broad spectrum of service lines and digital transformation capabilities tailored for diverse industry segments. Rak’s prior experience with Capgemini & Infosys provides him with the perspective and insights into successful technology service organizations, and his base in Silicon Valley gives him the network and vantage point in interpreting and getting ahead of emerging technology trends.

Author:

Shivani Govil

Product Leader, Chief Product Officer, AI leader, Investor
Google
... read more

Shivani Govil

Product Leader, Chief Product Officer, AI leader, Investor
Google
11:00 - 11:30
Partner Keynote

In this keynote, we'll explore the potential of Large Language Models (LLMs) in unlocking legacy systems and rethinking the connective tissue between legacy datasets and systems with new experiences. Traditionally, enterprises have relied on costly and time-consuming solutions to abstract legacy technology or modernize legacy systems. However, LLMs offer us the change to reimagine this enterprise architecture. By leveraging an LLMs ability to understand APIs, systems, and call tools, LLMs can generate the required structured output to interact with dozens of legacy systems. In this talk, we will discuss the ways LLMs can augment and replace enterprise gateways, reducing the need for custom software development and middleware solutions. We'll also examine the critical role of inference speed in enabling the deployment of LLMs in new and unique ways and explore the potential for LLMs to become a core tool in the enterprise.

C-Suite
Business Leader
AI Implementation
AI Technologists
Digital Change
Infrastructure Procurement

Author:

Austin Vance

CEO
Focused Labs

Austin Vance, the co-founder and CEO of Focused Labs, brings a dynamic blend of technical prowess and leadership to the forefront of the software industry. With a career spanning 24 years in software development, he has a rich history of leading high-performing engineering teams at organizations such as Pivotal and PayPal. This extensive experience has not only honed his expertise in the field but also deepened his commitment to delivering exceptional customer service through innovative software solutions. Under his guidance, Focused Labs excels in providing customers with custom software solutions that drive growth, enhance efficiency, and foster innovation, solidifying its position as a trusted partner in the tech ecosystem.

... read more

Austin Vance

CEO
Focused Labs

Austin Vance, the co-founder and CEO of Focused Labs, brings a dynamic blend of technical prowess and leadership to the forefront of the software industry. With a career spanning 24 years in software development, he has a rich history of leading high-performing engineering teams at organizations such as Pivotal and PayPal. This extensive experience has not only honed his expertise in the field but also deepened his commitment to delivering exceptional customer service through innovative software solutions. Under his guidance, Focused Labs excels in providing customers with custom software solutions that drive growth, enhance efficiency, and foster innovation, solidifying its position as a trusted partner in the tech ecosystem.

11:30 - 12:00
12:00 -1:30
Lunch & Networking Break
1:30 - 2:00
Enterprise Use Case

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. 

... read more

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. 

2:00 - 2:40
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.

... read more

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:

Andy Lofgreen

AVP, Data Science Practice
DataRobot
... read more

Andy Lofgreen

AVP, Data Science Practice
DataRobot

Author:

Waheed Qureshi

Founder & CEO
WMQ Investments
... read more

Waheed Qureshi

Founder & CEO
WMQ Investments
Technologist Deep-Dive (Gen AI & Data Science) Track
AI Technologists
Data Science
Hallucination Prevention
AI Optimizations

Author:

Dat Ngo

Machine Learning Engineer
Arize AI

Dat Ngo is a data scientist and machine learning engineer who works directly with Arize AI users to evaluate and troubleshoot generative AI applications. Before Arize, Ngo led strategic data science efforts at PointPredictive, alliantgroup, and Wood Mackenzie. Ngo has a Master of Science in Applied Statistics from Texas A&M University.

... read more

Dat Ngo

Machine Learning Engineer
Arize AI

Dat Ngo is a data scientist and machine learning engineer who works directly with Arize AI users to evaluate and troubleshoot generative AI applications. Before Arize, Ngo led strategic data science efforts at PointPredictive, alliantgroup, and Wood Mackenzie. Ngo has a Master of Science in Applied Statistics from Texas A&M University.

2:40 - 3:00
Networking Break
3:00 - 3:25
Enterprise Use Case

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.

... read more

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.

3:25 - 4:05
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.

... read more

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.

Panelists

Author:

Mike Shirazi

General Partner
Pursuit Ventures
... read more

Mike Shirazi

General Partner
Pursuit Ventures

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.

... read more

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.

Technologist Deep-Dive (Gen AI & Data Science) Track
AI Safety
AI Technologists
Data Science
C-Suite
Moderator

Author:

Sarah Luger

Co-Chair, Data Sets Working Group
MLCommons

Sarah Luger host of the AI Artifacts podcast (www.aiartifacts.net) and the Co-Chair of the Data Sets Working Group for AI benchmarking organization, MLCommons. Data Sets Working Group continues the research initiated with the Rigorous Evaluation of AI Systems workshop series at AAAI Human Computation and AAAI conferences. The goal is to develop robust schemas and infrastructure supporting the Open Source hosting of benchmark evaluation data sets. The group aims to provide free storage for researchers who have human-generated data (spoken word data is the current focus) of generally high quality.

Sarah is a Contributing Member of the MLCommons AI Safety Stakeholder Engagement, Benchmarks and Tests, and Platform Technology working groups. This nonprofit engineering consortium guides the ML industry by developing benchmarks, public datasets, and best practice.

Her current AI Safety work focuses on building LLM Safety Test Sets, Creating Scoring System, and Running Benchmarks. Sarah is leading the subsequent work automating the translation of safety test prompts into in low-resource languages.

... read more

Sarah Luger

Co-Chair, Data Sets Working Group
MLCommons

Sarah Luger host of the AI Artifacts podcast (www.aiartifacts.net) and the Co-Chair of the Data Sets Working Group for AI benchmarking organization, MLCommons. Data Sets Working Group continues the research initiated with the Rigorous Evaluation of AI Systems workshop series at AAAI Human Computation and AAAI conferences. The goal is to develop robust schemas and infrastructure supporting the Open Source hosting of benchmark evaluation data sets. The group aims to provide free storage for researchers who have human-generated data (spoken word data is the current focus) of generally high quality.

Sarah is a Contributing Member of the MLCommons AI Safety Stakeholder Engagement, Benchmarks and Tests, and Platform Technology working groups. This nonprofit engineering consortium guides the ML industry by developing benchmarks, public datasets, and best practice.

Her current AI Safety work focuses on building LLM Safety Test Sets, Creating Scoring System, and Running Benchmarks. Sarah is leading the subsequent work automating the translation of safety test prompts into in low-resource languages.

Panelists

Author:

Jonathan Bennion

AI Engineer
Rackspace
... read more

Jonathan Bennion

AI Engineer
Rackspace

Author:

Sergey Davidovich

Co-Founder & Chairman
SparkBeyond

Sergey is an entrepreneur, technological visionary and machine intelligence enthusiast, who continually strives to bridge the gap between human and machine reasoning and interaction. He’s passionate about computational knowledge representation, acquisition, storage, reasoning, and processing.
 

Sergey has served in a range of executive technological positions in disruptive startup companies. Prior to co-founding SparkBeyond, Sergey served as GM and SVP of R&D for NewBrandAnalytics, a social business intelligence pioneer. He’s also served as VP R&D of SemantiNet, a semantic reasoning engine, and co-founded Delver, a social search engine that was acquired by Sears, where he served as CTO. Prior to founding Delver, Sergey was the architect of a large-scale award-winning predictive maintenance system.

... read more

Sergey Davidovich

Co-Founder & Chairman
SparkBeyond

Sergey is an entrepreneur, technological visionary and machine intelligence enthusiast, who continually strives to bridge the gap between human and machine reasoning and interaction. He’s passionate about computational knowledge representation, acquisition, storage, reasoning, and processing.
 

Sergey has served in a range of executive technological positions in disruptive startup companies. Prior to co-founding SparkBeyond, Sergey served as GM and SVP of R&D for NewBrandAnalytics, a social business intelligence pioneer. He’s also served as VP R&D of SemantiNet, a semantic reasoning engine, and co-founded Delver, a social search engine that was acquired by Sears, where he served as CTO. Prior to founding Delver, Sergey was the architect of a large-scale award-winning predictive maintenance system.

Author:

Vipul Raheja

Applied Research Scientist
Grammarly

Vipul Raheja is an Applied Research Scientist at Grammarly. He works on developing robust and scalable approaches centered around improving the quality of written communication, leveraging Natural Language Processing and Deep Learning. His research interests lie at the intersection of large language models and controllable text generation. He has published several papers at top-tier Machine Learning and Natural Language Processing conferences and is also an organizer of the workshops on Intelligent and Interactive Writing Assistants held at ACL and CHI conferences. He obtained an MS in Computer Science from Columbia University.

... read more

Vipul Raheja

Applied Research Scientist
Grammarly

Vipul Raheja is an Applied Research Scientist at Grammarly. He works on developing robust and scalable approaches centered around improving the quality of written communication, leveraging Natural Language Processing and Deep Learning. His research interests lie at the intersection of large language models and controllable text generation. He has published several papers at top-tier Machine Learning and Natural Language Processing conferences and is also an organizer of the workshops on Intelligent and Interactive Writing Assistants held at ACL and CHI conferences. He obtained an MS in Computer Science from Columbia University.

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