Enterprise AI | Page 2 | Kisaco Research

Enterprise AI

Enterprise AI

Data Privacy & Governance
Gen AI

Author:

Lisa Cohen

Head of Data Science
Anthropic

 

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Lisa Cohen

Head of Data Science
Anthropic

 

Author:

Chandra Kapireddy

Head of Analytics, AI ML, & Gen AI
Truist

Chandra Kapireddy is joining our leadership team as the Head of Analytics, AI/ML, and Gen AI. Chandra brings over 27 years of experience building and leading world-class data, analytics, and artificial intelligence teams. Recognized for his expertise in change leadership, strategy and execution, team building, and delivering results, Chandra has an impressive track record of innovative solutions and driving substantial business growth within the financial services sector.

Chandra has held key leadership positions at some of the industry’s leading companies, including JP Morgan Chase, Capital One, Wells Fargo, Bank of America, Oracle, and AWS. Most recently, he served as Managing Director and Head of AI/ML Products for JPMorgan Chase. Chandra was also a member of JP Morgan Chase’s AI executive council, where he played a pivotal role in shaping the strategy, products, controls, and governance across the company. His visionary leadership has driven innovations in cloud computing, data analytics, and AI/ML earning him numerous awards.

Chandra’s extensive experience and enthusiasm for cutting-edge technologies will provide powerful leadership in a critical area of our technology future.   Please join us in welcoming Chandra to the Enterprise Data & Analytics leadership team.

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Chandra Kapireddy

Head of Analytics, AI ML, & Gen AI
Truist

Chandra Kapireddy is joining our leadership team as the Head of Analytics, AI/ML, and Gen AI. Chandra brings over 27 years of experience building and leading world-class data, analytics, and artificial intelligence teams. Recognized for his expertise in change leadership, strategy and execution, team building, and delivering results, Chandra has an impressive track record of innovative solutions and driving substantial business growth within the financial services sector.

Chandra has held key leadership positions at some of the industry’s leading companies, including JP Morgan Chase, Capital One, Wells Fargo, Bank of America, Oracle, and AWS. Most recently, he served as Managing Director and Head of AI/ML Products for JPMorgan Chase. Chandra was also a member of JP Morgan Chase’s AI executive council, where he played a pivotal role in shaping the strategy, products, controls, and governance across the company. His visionary leadership has driven innovations in cloud computing, data analytics, and AI/ML earning him numerous awards.

Chandra’s extensive experience and enthusiasm for cutting-edge technologies will provide powerful leadership in a critical area of our technology future.   Please join us in welcoming Chandra to the Enterprise Data & Analytics leadership team.

Author:

Nikhil Sukhtankar

Head of Product Conversational AI & Messaging Platforms
PayPal

As Head of AI & Messaging Platforms org at PayPal, Nikhil leads Product Management & Conversational AI Design teams. Nikhil is responsible for defining the vision & strategy to bring advancements in AI, especially Generative AI & NLU/NLP to power intuitive & intelligent experiences for PayPal's Consumers & Small-Medium Business Merchants. He brings over two decades of experience in building and growing enterprise scale consumer products across technology start-ups, growth companies and S&P 500 large companies. In recent years, my focus has been on building enterprise-scale vertical Applied AI platforms that offer capabilities & services such as AI powered Chatbot, Voice / IVR applications, Semantic & Lexical Search, Agent Assist Solutions (Smart Replies, Summarization) etc within Consumer Wallet, Payments, SMB Merchants, Shopping / Rewards & Customer Success domains. Nikhil also is a Product Advisor to a handful of startups leaders and CEOs. Nikhil has a technical background with Electrical Engineering & Computer Science and has also earned an AI & ML certification from MIT.

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Nikhil Sukhtankar

Head of Product Conversational AI & Messaging Platforms
PayPal

As Head of AI & Messaging Platforms org at PayPal, Nikhil leads Product Management & Conversational AI Design teams. Nikhil is responsible for defining the vision & strategy to bring advancements in AI, especially Generative AI & NLU/NLP to power intuitive & intelligent experiences for PayPal's Consumers & Small-Medium Business Merchants. He brings over two decades of experience in building and growing enterprise scale consumer products across technology start-ups, growth companies and S&P 500 large companies. In recent years, my focus has been on building enterprise-scale vertical Applied AI platforms that offer capabilities & services such as AI powered Chatbot, Voice / IVR applications, Semantic & Lexical Search, Agent Assist Solutions (Smart Replies, Summarization) etc within Consumer Wallet, Payments, SMB Merchants, Shopping / Rewards & Customer Success domains. Nikhil also is a Product Advisor to a handful of startups leaders and CEOs. Nikhil has a technical background with Electrical Engineering & Computer Science and has also earned an AI & ML certification from MIT.

Moderator

Author:

Hitesh Seth

Chief Architect, Financial Services and Insurance
Salesforce

At Salesforce, Hitesh is responsible for the end-to-end architecture of platforms delivered to financial services and insurance clients globally. His focus is on working with key strategic customers to align Salesforce implementations with their business goals, particularly around the conjunction of Data+AI and CRM. This involves collaborating with retail and commercial banking, payments, wealth management, investment banking, insurance, and capital markets to influence product roadmaps and shape the future of technology in these industries. A significant part of Hitesh's role includes facilitating discussions with CTOs, CIOs, CDOs, and Chief Architects to: •⁠ ⁠Analyze current architectures and design target states. •⁠ ⁠Optimize Salesforce technologies for customer needs. •⁠ ⁠Integrate and Interoperate with Salesforce platforms within broader ecosystems. Being the executive sponsors for the customers, I play a key role in influencing product development within Salesforce by advocating for customer-driven innovations. 

Hitesh oversees end-to-end platform and solution architecture for global financial services and insurance clients. He specializes in aligning Salesforce solutions with strategic business objectives, particularly at the intersection of Data+AI and CRM. By collaborating with retail and commercial banking, payments, wealth management, investment banking, insurance, and capital markets, Hitesh helps influence product roadmaps and shape the future of technology in these industries.

A key part of his role involves engaging CTOs, CIOs, CDOs, and Chief Architects to analyze current architectures, design target states, and optimize Salesforce within broader ecosystems. As an executive sponsor, Hitesh champions customer-driven innovation, ensuring product development meets evolving industry needs.

 

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Hitesh Seth

Chief Architect, Financial Services and Insurance
Salesforce

At Salesforce, Hitesh is responsible for the end-to-end architecture of platforms delivered to financial services and insurance clients globally. His focus is on working with key strategic customers to align Salesforce implementations with their business goals, particularly around the conjunction of Data+AI and CRM. This involves collaborating with retail and commercial banking, payments, wealth management, investment banking, insurance, and capital markets to influence product roadmaps and shape the future of technology in these industries. A significant part of Hitesh's role includes facilitating discussions with CTOs, CIOs, CDOs, and Chief Architects to: •⁠ ⁠Analyze current architectures and design target states. •⁠ ⁠Optimize Salesforce technologies for customer needs. •⁠ ⁠Integrate and Interoperate with Salesforce platforms within broader ecosystems. Being the executive sponsors for the customers, I play a key role in influencing product development within Salesforce by advocating for customer-driven innovations. 

Hitesh oversees end-to-end platform and solution architecture for global financial services and insurance clients. He specializes in aligning Salesforce solutions with strategic business objectives, particularly at the intersection of Data+AI and CRM. By collaborating with retail and commercial banking, payments, wealth management, investment banking, insurance, and capital markets, Hitesh helps influence product roadmaps and shape the future of technology in these industries.

A key part of his role involves engaging CTOs, CIOs, CDOs, and Chief Architects to analyze current architectures, design target states, and optimize Salesforce within broader ecosystems. As an executive sponsor, Hitesh champions customer-driven innovation, ensuring product development meets evolving industry needs.

 

Gen AI
Optimized Infrastructure

Author:

Moshe Tanach

Co-Founder & CEO
NeuReality
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Moshe Tanach

Co-Founder & CEO
NeuReality

Author:

Nalini Garg

California State Ambassador
Women In AI

Nalini is a recognized leader at Deloitte in AI & Data Practice, standing at the forefront of AI innovation and Strategy. With a distinct path of achievements, she delivered over 30 talks on generative AI, emphasizing its safe usage and business efficiencies for life sciences and tech companies. Nominated as top 100 women in AI for 2023, 2024, she currently serves as the California state ambassador for Women in AI. Beyond her professional prowess, Nalini is a wellness instructor, artist, and a podcast host.

 

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Nalini Garg

California State Ambassador
Women In AI

Nalini is a recognized leader at Deloitte in AI & Data Practice, standing at the forefront of AI innovation and Strategy. With a distinct path of achievements, she delivered over 30 talks on generative AI, emphasizing its safe usage and business efficiencies for life sciences and tech companies. Nominated as top 100 women in AI for 2023, 2024, she currently serves as the California state ambassador for Women in AI. Beyond her professional prowess, Nalini is a wellness instructor, artist, and a podcast host.

 

Author:

Jacey Heuer

Head of AI & Data Science
Pella Corporation

Jacey leads AI, Data Science and Advanced Analytics for Pella Corporation. Pella Corporation, based in the U.S, is one of North America’s largest manufacturers of premium windows and doors. Jacey’s current focus is on expanding the footprint of AI, Data Science and Advanced Analytics at Pella Corporation, guiding the organization to realize the value promised in this space. Jacey is a storyteller who bridges the gap between the possible and the practical, ushering organizations along their journey to become data driven. Jacey holds master’s degrees from Iowa State University in business and data science. He carries strong advanced analytics experience across many industries including manufacturing, e-commerce, energy, financial services and real estate.

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Jacey Heuer

Head of AI & Data Science
Pella Corporation

Jacey leads AI, Data Science and Advanced Analytics for Pella Corporation. Pella Corporation, based in the U.S, is one of North America’s largest manufacturers of premium windows and doors. Jacey’s current focus is on expanding the footprint of AI, Data Science and Advanced Analytics at Pella Corporation, guiding the organization to realize the value promised in this space. Jacey is a storyteller who bridges the gap between the possible and the practical, ushering organizations along their journey to become data driven. Jacey holds master’s degrees from Iowa State University in business and data science. He carries strong advanced analytics experience across many industries including manufacturing, e-commerce, energy, financial services and real estate.

Moderator

Author:

Karl Freund

Founder & Principal Analyst
Cambrian AI Research

Karl Freund is the founder and principal analyst of Cambrian AI Research. Prior to this, he was Moor Insights & Strategy’s consulting lead for HPC and Deep Learning. His recent experiences as the VP of Marketing at AMD and Calxeda, as well as his previous positions at Cray and IBM, positions him as a leading industry expert in these rapidly evolving industries. Karl works with investment and technology customers to help them understand the emerging Deep Learning opportunity in data centers, from competitive landscape to ecosystem to strategy.

 

Karl has worked directly with datacenter end users, OEMs, ODMs and the industry ecosystem, enabling him to help his clients define the appropriate business, product, and go-to-market strategies. He is also recognized expert on the subject of low-power servers and the emergence of ARM in the datacenter and has been a featured speaker at scores of investment and industry conferences on this topic.

Accomplishments during his career include:

  • Led the revived HPC initiative at AMD, targeting APUs at deep learning and other HPC workloads
  • Created an industry-wide thought leadership position for Calxeda in the ARM Server market
  • Helped forge the early relationship between HP and Calxeda leading to the surprise announcement of HP Moonshot with Calxeda in 2011
  • Built the IBM Power Server brand from 14% market share to over 50% share
  • Integrated the Tivoli brand into the IBM company’s branding and marketing organization
  • Co-Led the integration of HP and Apollo Marketing after the Boston-based desktop company’s acquisition

 

Karl’s background includes RISC and Mainframe servers, as well as HPC (Supercomputing). He has extensive experience as a global marketing executive at IBM where he was VP Marketing (2000-2010), Cray where he was VP Marketing (1995-1998), and HP where he was a Division Marketing Manager (1979-1995).

 

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Karl Freund

Founder & Principal Analyst
Cambrian AI Research

Karl Freund is the founder and principal analyst of Cambrian AI Research. Prior to this, he was Moor Insights & Strategy’s consulting lead for HPC and Deep Learning. His recent experiences as the VP of Marketing at AMD and Calxeda, as well as his previous positions at Cray and IBM, positions him as a leading industry expert in these rapidly evolving industries. Karl works with investment and technology customers to help them understand the emerging Deep Learning opportunity in data centers, from competitive landscape to ecosystem to strategy.

 

Karl has worked directly with datacenter end users, OEMs, ODMs and the industry ecosystem, enabling him to help his clients define the appropriate business, product, and go-to-market strategies. He is also recognized expert on the subject of low-power servers and the emergence of ARM in the datacenter and has been a featured speaker at scores of investment and industry conferences on this topic.

Accomplishments during his career include:

  • Led the revived HPC initiative at AMD, targeting APUs at deep learning and other HPC workloads
  • Created an industry-wide thought leadership position for Calxeda in the ARM Server market
  • Helped forge the early relationship between HP and Calxeda leading to the surprise announcement of HP Moonshot with Calxeda in 2011
  • Built the IBM Power Server brand from 14% market share to over 50% share
  • Integrated the Tivoli brand into the IBM company’s branding and marketing organization
  • Co-Led the integration of HP and Apollo Marketing after the Boston-based desktop company’s acquisition

 

Karl’s background includes RISC and Mainframe servers, as well as HPC (Supercomputing). He has extensive experience as a global marketing executive at IBM where he was VP Marketing (2000-2010), Cray where he was VP Marketing (1995-1998), and HP where he was a Division Marketing Manager (1979-1995).

 

Gen AI
Optimized Infrastructure

Author:

Alex Liu

SVP of Global Business
FuriosaAI
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Alex Liu

SVP of Global Business
FuriosaAI
Gen AI

Author:

Ahmed Menshawy

Vice President of AI Engineering
Mastercard

Ahmed Menshawy is the Vice President of AI Engineering at Mastercard. In this role, he leads the AI Engineering team, driving the development and commercialization of AI products that deliver business value across the organization. His work focuses on enabling Mastercard to harness the power of AI to solve complex problems, optimize operations, and enhance customer experiences. Ahmed collaborates with cross-functional teams to bring innovative AI solutions from concept to market, ensuring they align with Mastercard’s strategic objectives

An accomplished author and recognized contributor to the AI community, Ahmed has co-authored Deep Learning with TensorFlow and written Deep Learning by Example. His most recent book, Graph Learning for the Enterprise, published by O’Reilly, provides practical insights into efficiently training and deploying graph learning pipelines at scale

 

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Ahmed Menshawy

Vice President of AI Engineering
Mastercard

Ahmed Menshawy is the Vice President of AI Engineering at Mastercard. In this role, he leads the AI Engineering team, driving the development and commercialization of AI products that deliver business value across the organization. His work focuses on enabling Mastercard to harness the power of AI to solve complex problems, optimize operations, and enhance customer experiences. Ahmed collaborates with cross-functional teams to bring innovative AI solutions from concept to market, ensuring they align with Mastercard’s strategic objectives

An accomplished author and recognized contributor to the AI community, Ahmed has co-authored Deep Learning with TensorFlow and written Deep Learning by Example. His most recent book, Graph Learning for the Enterprise, published by O’Reilly, provides practical insights into efficiently training and deploying graph learning pipelines at scale

 

Gen AI
Enterprise Use Case

Author:

Arun Nandi

Chief Data & AI Officer
Carrier

Arun Nandi is a visionary keynote speaker, advisor and thought leader in AI. His professional experience driving impact for larger enterprises from Data, Analytics & Insights initiatives spans close to 20 years.

He was presented the Top 100 Influential AI & Analytics leaders award, the Top 40 AI Leaders under 40 award and LinkedIn Top Voice. He currently works as Chief Data & AI Officer at Carrier Global Corp, a Fortune 200 company. He previous was Head of Data & Analytics at Unilever. He has built AI and analytics practices from the ground up on multiple occasions.

Arun serves and consults with advisory boards and investment firms recognized as a credible voice in the industry. He was esteemed jury member at prestigious events such as The Drum Awards and LVMH’s Dare Competition. He has delivered keynote addresses at many events with other experts including Andre Ng (Deep Learning), Julien Simon (Hugging Face).

Arun works with numerous service providers within the AI, data and Analytics ecosystem and shapes the strategy for his enterprise and the industry at large.

Arun is based in New York, NY, USA. He is a keen traveler, foodie and adventure motorcyclist.

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Arun Nandi

Chief Data & AI Officer
Carrier

Arun Nandi is a visionary keynote speaker, advisor and thought leader in AI. His professional experience driving impact for larger enterprises from Data, Analytics & Insights initiatives spans close to 20 years.

He was presented the Top 100 Influential AI & Analytics leaders award, the Top 40 AI Leaders under 40 award and LinkedIn Top Voice. He currently works as Chief Data & AI Officer at Carrier Global Corp, a Fortune 200 company. He previous was Head of Data & Analytics at Unilever. He has built AI and analytics practices from the ground up on multiple occasions.

Arun serves and consults with advisory boards and investment firms recognized as a credible voice in the industry. He was esteemed jury member at prestigious events such as The Drum Awards and LVMH’s Dare Competition. He has delivered keynote addresses at many events with other experts including Andre Ng (Deep Learning), Julien Simon (Hugging Face).

Arun works with numerous service providers within the AI, data and Analytics ecosystem and shapes the strategy for his enterprise and the industry at large.

Arun is based in New York, NY, USA. He is a keen traveler, foodie and adventure motorcyclist.

Agentic and Gen AI

Author:

Barak Turovsky

Chief AI Officer
General Motors

Barak Turovsky is the Chief AI Officer at General Motors. He is an operating advisor and product and business leader with over 25 years of experience in artificial intelligence (Generative AI/Large Language Models, Computer Vision, etc), Ads & Commerce, Cloud applications, and Enterprise Software.

Prior to General Motors, Barak was VP of AI at Cisco, Chief Product Officer at Trax Retail, and Director & Head of Product for Languages AI at Google.

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Barak Turovsky

Chief AI Officer
General Motors

Barak Turovsky is the Chief AI Officer at General Motors. He is an operating advisor and product and business leader with over 25 years of experience in artificial intelligence (Generative AI/Large Language Models, Computer Vision, etc), Ads & Commerce, Cloud applications, and Enterprise Software.

Prior to General Motors, Barak was VP of AI at Cisco, Chief Product Officer at Trax Retail, and Director & Head of Product for Languages AI at Google.

Agentic and Gen AI

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:

RK Anand

Co-Founder and CPO
RECOGNI

RK Anand is the Co-founder and Chief Product Officer (CPO) of Recogni, an artificial intelligence startup based in San Jose specializing in building multimodal GenAI inference systems for data centers.

At Recogni, RK spearheads the company’s product development and Go-To-Market strategies within the data center industry.

With an unwavering commitment to customer needs and value creation, RK and the Recogni team are striving to deliver the highest performing and most cost and energy efficient multi-modal GenAI systems to the market.

RK brings over 35 years of leadership experience in data center compute systems, networking, and silicon development. His distinguished career includes engineering roles at Sun Microsystems and serving as Executive Vice President and General Manager at Juniper Networks. As one of the earliest employees at Juniper, RK played a pivotal role in the company’s growth from a startup to generating billions of dollars in revenue.

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RK Anand

Co-Founder and CPO
RECOGNI

RK Anand is the Co-founder and Chief Product Officer (CPO) of Recogni, an artificial intelligence startup based in San Jose specializing in building multimodal GenAI inference systems for data centers.

At Recogni, RK spearheads the company’s product development and Go-To-Market strategies within the data center industry.

With an unwavering commitment to customer needs and value creation, RK and the Recogni team are striving to deliver the highest performing and most cost and energy efficient multi-modal GenAI systems to the market.

RK brings over 35 years of leadership experience in data center compute systems, networking, and silicon development. His distinguished career includes engineering roles at Sun Microsystems and serving as Executive Vice President and General Manager at Juniper Networks. As one of the earliest employees at Juniper, RK played a pivotal role in the company’s growth from a startup to generating billions of dollars in revenue.

Author:

Milind Naphade

SVP AI Foundations
Capital One

Milind Naphade, SVP, Technology, leads the AI Foundations team at Capital One. In this capacity, Milind partners with product, tech, and business leaders to advance AI efforts, such as generative AI, at Capital One.

Prior to joining Capital One, Milind was the Chief Technology Officer of Metropolis at NVIDIA where he led the technology and innovation strategy and execution for NVIDIA’s Metropolis platform and product offerings. Prior to joining NVIDIA, Milind held executive and leadership roles at Cisco and IBM Research. As the Director of the cognitive systems organization at Cisco, he built the organization that focused on machine learning, natural language processing and AI. In his 14 years at IBM Research, Milind led several company-wide strategic AI initiatives in multimedia analytics and smarter planet solutions.

 

 

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Milind Naphade

SVP AI Foundations
Capital One

Milind Naphade, SVP, Technology, leads the AI Foundations team at Capital One. In this capacity, Milind partners with product, tech, and business leaders to advance AI efforts, such as generative AI, at Capital One.

Prior to joining Capital One, Milind was the Chief Technology Officer of Metropolis at NVIDIA where he led the technology and innovation strategy and execution for NVIDIA’s Metropolis platform and product offerings. Prior to joining NVIDIA, Milind held executive and leadership roles at Cisco and IBM Research. As the Director of the cognitive systems organization at Cisco, he built the organization that focused on machine learning, natural language processing and AI. In his 14 years at IBM Research, Milind led several company-wide strategic AI initiatives in multimedia analytics and smarter planet solutions.

 

 

Agentic and Gen AI
Enterprise Use Case

Author:

Daniel Wu

Strategic AI Leadership | Keynote Speaker | Educator | Entrepreneur Course Facilitator
Stanford University

Daniel Wu is an accomplished technical leader with over 20 years of expertise in software engineering, AI/ML, and team development. With a diverse career spanning technology, education, finance, and healthcare, he is credited for establishing high-performing AI teams, pioneering point-of-care expert systems, co-founding a successful online personal finance marketplace, and leading the development of an innovative online real estate brokerage platform. Passionate about technology democratization and ethical AI practices, Daniel actively promotes these principles through involvement in computer science and AI/ML education programs. A sought-after speaker, he shares insights and experiences at international conferences and corporate events. Daniel holds a computer science degree from Stanford University.

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Daniel Wu

Strategic AI Leadership | Keynote Speaker | Educator | Entrepreneur Course Facilitator
Stanford University

Daniel Wu is an accomplished technical leader with over 20 years of expertise in software engineering, AI/ML, and team development. With a diverse career spanning technology, education, finance, and healthcare, he is credited for establishing high-performing AI teams, pioneering point-of-care expert systems, co-founding a successful online personal finance marketplace, and leading the development of an innovative online real estate brokerage platform. Passionate about technology democratization and ethical AI practices, Daniel actively promotes these principles through involvement in computer science and AI/ML education programs. A sought-after speaker, he shares insights and experiences at international conferences and corporate events. Daniel holds a computer science degree from Stanford University.