Business Leader | Kisaco Research

Business Leader

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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.

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.

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.

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

Shivani Govil

Product Leader, Chief Product Officer, AI leader, Investor
Google

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.

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.

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. 

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.