Enterprise AI | Page 2 | Kisaco Research

Enterprise AI

Enterprise AI

Data Privacy & Governance

Author:

Rohith Vangalla

Lead Software Engineer
Optum

Dr. Rohith Vangalla is a Senior IEEE Member, AI Researcher, and Lead Software Engineer at Optum Technologies, specializing in AI-driven automation, cybersecurity, and enterprise AI infrastructure. With over ten years of experience, he has pioneered AI solutions in healthcare, digital marketing, and aviation, publishing impactful research that has transformed industry practices. At Optum, he has been instrumental in developing AI-driven chatbots, secure automation frameworks, and scalable AI solutions that enhance efficiency, compliance, and real-time decision-making. As a scholar, reviewer, and judge for major AI conferences, Dr. Vangalla continues to shape the future of AI infrastructure, privacy-first systems, and responsible AI development.

... read more

Rohith Vangalla

Lead Software Engineer
Optum

Dr. Rohith Vangalla is a Senior IEEE Member, AI Researcher, and Lead Software Engineer at Optum Technologies, specializing in AI-driven automation, cybersecurity, and enterprise AI infrastructure. With over ten years of experience, he has pioneered AI solutions in healthcare, digital marketing, and aviation, publishing impactful research that has transformed industry practices. At Optum, he has been instrumental in developing AI-driven chatbots, secure automation frameworks, and scalable AI solutions that enhance efficiency, compliance, and real-time decision-making. As a scholar, reviewer, and judge for major AI conferences, Dr. Vangalla continues to shape the future of AI infrastructure, privacy-first systems, and responsible AI development.

Data Privacy & Governance
Gen AI

Author:

Pallishree Panigrahi

Head of Data
Amazon Key

Pallishree Panigrahi is the Head of Data at Amazon Key, where she leads global data strategy, engineering, and analytics to power Amazon’s smart access and delivery products. With over 15 years of experience at Amazon, Meta, and other leading organizations, she has developed scalable data platforms that drive innovation, operational excellence, and customer trust.

Her work encompasses predictive intelligence, real-time feedback loops, and ethical AI frameworks that shape user-centric technology. Pallishree is passionate about designing intelligent systems that harmonize innovation with accountability, and she regularly shares insights on how to construct trustworthy AI from data to deployment.

... read more

Pallishree Panigrahi

Head of Data
Amazon Key

Pallishree Panigrahi is the Head of Data at Amazon Key, where she leads global data strategy, engineering, and analytics to power Amazon’s smart access and delivery products. With over 15 years of experience at Amazon, Meta, and other leading organizations, she has developed scalable data platforms that drive innovation, operational excellence, and customer trust.

Her work encompasses predictive intelligence, real-time feedback loops, and ethical AI frameworks that shape user-centric technology. Pallishree is passionate about designing intelligent systems that harmonize innovation with accountability, and she regularly shares insights on how to construct trustworthy AI from data to deployment.

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.

... read more

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.

Author:

Manu Fontaine

Governing Board Member
Confidential Computing Consortium

Manu Fontaine serves on the Governing Board of the Confidential Computing Consortium, hosted within the Linux Foundation. He is also the Founder and CEO of Hushmesh Inc., a Public Benefit cybersecurity startup and NATO DIANA Innovator based in the Washington, D.C. area. Hushmesh is developing, deploying, and operating the Mesh—a global information infrastructure akin to the Web, but with automated, decentralized cryptographic security built in. Built entirely on Confidential Computing technology, the Mesh blueprint is mathematically and technically optimal for securing the Agentic Era. Prior to Hushmesh, Manu led identity, privacy, and security-centric product initiatives in the data center, mobile, and consumer spaces at Brightspot, EMC, AOL, and Alcatel. He holds two Masters in Electrical Engineering from the University of Louvain, Belgium.

... read more

Manu Fontaine

Governing Board Member
Confidential Computing Consortium

Manu Fontaine serves on the Governing Board of the Confidential Computing Consortium, hosted within the Linux Foundation. He is also the Founder and CEO of Hushmesh Inc., a Public Benefit cybersecurity startup and NATO DIANA Innovator based in the Washington, D.C. area. Hushmesh is developing, deploying, and operating the Mesh—a global information infrastructure akin to the Web, but with automated, decentralized cryptographic security built in. Built entirely on Confidential Computing technology, the Mesh blueprint is mathematically and technically optimal for securing the Agentic Era. Prior to Hushmesh, Manu led identity, privacy, and security-centric product initiatives in the data center, mobile, and consumer spaces at Brightspot, EMC, AOL, and Alcatel. He holds two Masters in Electrical Engineering from the University of Louvain, Belgium.

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.

 

... read more

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.

 

Many AI agent projects stall after promising pilots because they can’t deliver the accuracy businesses need to trust them. A key reason is that enterprise data isn’t just numbers and tables- it comes with strict privacy and governance rules as well as team-specific terms, definitions, and processes. When agents are given access to this data without a system that can enforce governance policies or adapt to evolving definitions in real time, they quickly run into the “accuracy trap”: results that are confidently wrong, non-compliant, or misaligned with how the business actually works. This talk shares lessons from early enterprise deployments on why accuracy debt and weak governance hold back adoption- and how leading teams are building AI agents that respect privacy, adapt to governance, and continuously learn from tribal knowledge to deliver reliable, explainable results.

Data Privacy & Governance

Author:

Rajoshi Ghosh

Co-founder & Chief Ecosystem Officer
PromptQL

Rajoshi Ghosh is the Co-founder and Chief Ecosystem Officer at PromptQL, where she works across product, marketing, and sales to bridge the gap between research and real-world impact in AI. She brings PromptQL to AI change agents driving transformative projects—helping them build reliable, custom AI for their most critical data workflows.

Rajoshi has deep 0–1 startup experience in bringing disruptive technologies to new markets, including the launch of the Hasura GraphQL Engine. Before Hasura, she ran a technology consulting firm helping companies modernize infrastructure with containerized workloads. Earlier in her career, she was a bioinformatics researcher, with her work published in Nature.

... read more

Rajoshi Ghosh

Co-founder & Chief Ecosystem Officer
PromptQL

Rajoshi Ghosh is the Co-founder and Chief Ecosystem Officer at PromptQL, where she works across product, marketing, and sales to bridge the gap between research and real-world impact in AI. She brings PromptQL to AI change agents driving transformative projects—helping them build reliable, custom AI for their most critical data workflows.

Rajoshi has deep 0–1 startup experience in bringing disruptive technologies to new markets, including the launch of the Hasura GraphQL Engine. Before Hasura, she ran a technology consulting firm helping companies modernize infrastructure with containerized workloads. Earlier in her career, she was a bioinformatics researcher, with her work published in Nature.

When it comes to AI, inference is how today’s gen AI models can solve real-world business problems. Google Kubernetes Engine (GKE) is seeing an increasing adoption of gen AI inference. In this session, discover how GKE empowers customers to achieve high-performance, cost-effective, and scalable AI inference through cutting-edge Gen AI inference innovations.

Optimized Infrastructure
Inferencing

Author:

Nathan Beach

Director, Product Management
Google Cloud

Nathan Beach is Director of Product Management for Google Kubernetes Engine (GKE). He leads the product team working to make GKE a great platform on which to run AI workloads. He received his MBA from Harvard Business School and, prior to Google, led his own startup. He is a builder and creator passionate about making products that superbly meet user needs. He enjoys career coaching and mentoring, and he is eager to help others transition into product management and excel in their careers.

... read more

Nathan Beach

Director, Product Management
Google Cloud

Nathan Beach is Director of Product Management for Google Kubernetes Engine (GKE). He leads the product team working to make GKE a great platform on which to run AI workloads. He received his MBA from Harvard Business School and, prior to Google, led his own startup. He is a builder and creator passionate about making products that superbly meet user needs. He enjoys career coaching and mentoring, and he is eager to help others transition into product management and excel in their careers.

Gen AI
Optimized Infrastructure

Author:

Moshe Tanach

Co-Founder & CEO
NeuReality

Moshe Tanach is Founder and CEO at NeuReality.

Before founding NeuReality, he served as Director of Engineering at Marvell and Intel, leading complex wireless and networking products to mass production.

He also served as Appointed Vice President of R&D at DesignArt-Networks (later acquired by Qualcomm) developing 4G base station products.

He holds Bachelor of Science in Electrical Engineering (BSEE) from the Technion, Israel, Cum Laude.

... read more

Moshe Tanach

Co-Founder & CEO
NeuReality

Moshe Tanach is Founder and CEO at NeuReality.

Before founding NeuReality, he served as Director of Engineering at Marvell and Intel, leading complex wireless and networking products to mass production.

He also served as Appointed Vice President of R&D at DesignArt-Networks (later acquired by Qualcomm) developing 4G base station products.

He holds Bachelor of Science in Electrical Engineering (BSEE) from the Technion, Israel, Cum Laude.

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.

 

... read more

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.

... read more

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.

Author:

Niranjan Hira

Senior Product Manager
Google Cloud

As a Product Manager in our AI Infrastructure team, Hira looks out for how Google Cloud offerings can help customers and partners build more helpful AI experiences for users.  With over 30 years of experience building applications and products across multiple industries, he likes to hog the whiteboard and tell developer tales.

... read more

Niranjan Hira

Senior Product Manager
Google Cloud

As a Product Manager in our AI Infrastructure team, Hira looks out for how Google Cloud offerings can help customers and partners build more helpful AI experiences for users.  With over 30 years of experience building applications and products across multiple industries, he likes to hog the whiteboard and tell developer tales.

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).

 

... read more

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
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.

... read more

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.

... read more

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.

Author:

Lauri Moore

Partner
Bessemer Venture Partners
Lauri Moore is a Partner at Bessemer’s Silicon Valley office, where she focuses on early-stage opportunities in data, AI, developer tools, and related infrastructure. With a unique background spanning research, data science, product management, and investing, Lauri is a passionate ally and coach for entrepreneurs, collaborating with them to tackle the inevitable challenges of company building.
Before joining Bessemer, Lauri was a Partner at Foundation Capital. She also co-founded a company that automated top-of-funnel screening using voice AI, leveraging one of the earliest (and ultimately not good enough) externalized BERT models in 2018. Lauri has held product leadership roles at LinkedIn and worked in data science and product across several startups. Her career began at the Federal Reserve Bank of New York in the Research & Statistics Group, although her first job was as a figure skating coach.
Lauri graduated from Columbia College, Columbia University, where she studied Mathematics, Economics, and History. She also holds an MBA from Stanford’s Graduate School of Business, where she was an Arbuckle Leadership Fellow.
... read more

Lauri Moore

Partner
Bessemer Venture Partners
Lauri Moore is a Partner at Bessemer’s Silicon Valley office, where she focuses on early-stage opportunities in data, AI, developer tools, and related infrastructure. With a unique background spanning research, data science, product management, and investing, Lauri is a passionate ally and coach for entrepreneurs, collaborating with them to tackle the inevitable challenges of company building.
Before joining Bessemer, Lauri was a Partner at Foundation Capital. She also co-founded a company that automated top-of-funnel screening using voice AI, leveraging one of the earliest (and ultimately not good enough) externalized BERT models in 2018. Lauri has held product leadership roles at LinkedIn and worked in data science and product across several startups. Her career began at the Federal Reserve Bank of New York in the Research & Statistics Group, although her first job was as a figure skating coach.
Lauri graduated from Columbia College, Columbia University, where she studied Mathematics, Economics, and History. She also holds an MBA from Stanford’s Graduate School of Business, where she was an Arbuckle Leadership Fellow.
Agentic and Gen AI

Author:

Gilles Backhus

Founder & VP of Product
Recogni
... read more

Gilles Backhus

Founder & VP of Product
Recogni

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.

 

 

... read more

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.

 

 

Author:

Dickson Tsai

MTS, Claude Code
Anthropic

Dickson Tsai is a product engineer at Anthropic, where he works on Claude Code, an AI tool that autonomously writes, debugs, and executes code directly in the terminal. He pioneered "hooks," a feature enabling developers to inject custom scripts into the AI agent's workflow. Previously, Dickson worked as a pre-training data research engineer at Anthropic and as a growth engineer on Google Search.

... read more

Dickson Tsai

MTS, Claude Code
Anthropic

Dickson Tsai is a product engineer at Anthropic, where he works on Claude Code, an AI tool that autonomously writes, debugs, and executes code directly in the terminal. He pioneered "hooks," a feature enabling developers to inject custom scripts into the AI agent's workflow. Previously, Dickson worked as a pre-training data research engineer at Anthropic and as a growth engineer on Google Search.

Author:

Kyle Sosnowski

VP Software Engineering
Crusoe Energy

With 20 years of SaaS experience across consumer and enterprise, Kyle led a team in LinkedIn’s Talent Solutions building ML products for SMBs, and now focuses on managed services, enterprise integrations, and the cloud application layer at Crusoe.

... read more

Kyle Sosnowski

VP Software Engineering
Crusoe Energy

With 20 years of SaaS experience across consumer and enterprise, Kyle led a team in LinkedIn’s Talent Solutions building ML products for SMBs, and now focuses on managed services, enterprise integrations, and the cloud application layer at Crusoe.

Author:

Vamsi Patti

Investor
Hitachi Ventures
... read more

Vamsi Patti

Investor
Hitachi Ventures