Business Leader | Kisaco Research

Business Leader

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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.

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.

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. 

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. 

At the turn of the millennium, in their seminal book 'Discipline of Market Leaders, the authors Michael Treacy and Fred Wiersema posited that Excellence could be grouped into three dimensions - product leadership, operational excellence, and customer intimacy. Two decades later, we revisit these dimensions in light of the perfect storm of AI and present use cases that help companies transform through a step-change in their market leadership by thoughtfully and deliberately implementing AI in their functions to gain a step-change in performance improvement along with revenue, costs, and overall profitability. 

Application & Gen AI Integration (Business Leaders) Track
Advertising
Business Leader
C-Suite
Customer Experience

Author:

Das Dasgupta

Former CDO
Saatchi and Saatchi

Former CDAIO, Saatchi & Saatchi; Adjunct Professor of Data Science & Operations (DSO) at USC Marshall School of Business.

Dr. Das Dasgupta was most recently the Chief Data Officer at Saatchi & Saatchi (S&S), an advertising agency owned by the $11B Publicis Groupe. His prior leadership roles include Global SVP of Data Science and Digital Transformation at Viacom, L8 Director at Amazon with four L8 reports, and Partner at McKinsey and EY.

Das is an expert in utilizing data and artificial intelligence to grow revenues and cut business costs. He structures this through three lenses - product leadership, operational excellence, and customer intimacy. This includes building top-tier data strategy teams and systems with the right AI and machine learning technologies so that companies can make informed data-driven decisions related to marketing & advertising, operations/supply chain, and back-office automation with proven ROI.

A few examples include building an AI/ML powered system for S&S that helped increase return on ad spend for their clients by an average of 40%, automating the order-to-cash, procure-to-pay, and records-to-reports systems for Viacom’s back office (saving $30M over two years), and also developing Amazon’s process of taking a picture of a delivered package and sending it to the customer which significantly improved the customer experience and saved $100M+ in costs for Amazon. Across the companies Dr. Dasgupta has been involved with, his work has contributed to over $500M in cost savings and revenue growth.

 

Das Dasgupta

Former CDO
Saatchi and Saatchi

Former CDAIO, Saatchi & Saatchi; Adjunct Professor of Data Science & Operations (DSO) at USC Marshall School of Business.

Dr. Das Dasgupta was most recently the Chief Data Officer at Saatchi & Saatchi (S&S), an advertising agency owned by the $11B Publicis Groupe. His prior leadership roles include Global SVP of Data Science and Digital Transformation at Viacom, L8 Director at Amazon with four L8 reports, and Partner at McKinsey and EY.

Das is an expert in utilizing data and artificial intelligence to grow revenues and cut business costs. He structures this through three lenses - product leadership, operational excellence, and customer intimacy. This includes building top-tier data strategy teams and systems with the right AI and machine learning technologies so that companies can make informed data-driven decisions related to marketing & advertising, operations/supply chain, and back-office automation with proven ROI.

A few examples include building an AI/ML powered system for S&S that helped increase return on ad spend for their clients by an average of 40%, automating the order-to-cash, procure-to-pay, and records-to-reports systems for Viacom’s back office (saving $30M over two years), and also developing Amazon’s process of taking a picture of a delivered package and sending it to the customer which significantly improved the customer experience and saved $100M+ in costs for Amazon. Across the companies Dr. Dasgupta has been involved with, his work has contributed to over $500M in cost savings and revenue growth.

 

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. 

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. 

Less than 1 out of 10 marketing campaigns really work. How can AI help generate marketing campaigns that increase the chance of success? In this session, Abbas Arslan will talk us through the experience of The Coca-Cola Company to revitalize their marketing effectiveness with AI at its core.

Application & Gen AI Integration (Business Leaders) Track
Marketing
Business Leader
AI Optimizations
Data Analysis

Author:

Abbas Arslan

Senior Marketing Director
Coca-Cola

Abbas is a Global Marketing leader with expertise in Consumer Marketing, Digital Marketing, Creative Strategy, Innovation Success and Artificial Intelligence.

Over last 20 years, he has positively impacted businesses across 50+ countries through user base acceleration, market share gains and stronger brand building. Abbas has also led the Predictive Insights at Coca-Cola with focus on use of Artificial Intelligence. His work has led to stronger effectiveness while significantly reducing time and cost.

Abbas Arslan

Senior Marketing Director
Coca-Cola

Abbas is a Global Marketing leader with expertise in Consumer Marketing, Digital Marketing, Creative Strategy, Innovation Success and Artificial Intelligence.

Over last 20 years, he has positively impacted businesses across 50+ countries through user base acceleration, market share gains and stronger brand building. Abbas has also led the Predictive Insights at Coca-Cola with focus on use of Artificial Intelligence. His work has led to stronger effectiveness while significantly reducing time and cost.

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.

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.

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.

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

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.

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.