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Title & Speakers	Event
April 3 - New York AI, ML, and Computer Vision Meetup 2025-04-03 · 21:00 Register to reserve your spot. When and Where April 3\, 2025 \\| 5:00 – 8:00 PM 393 Broadway 2nd Floor, New York, NY 10013 Orchestrating AI Pipelines: GenAI and LLMOps in Action The increasing adoption of Generative AI (GenAI) is transforming decision-making across industries, making robust Large Language Model Operations (LLMOps) and governance strategies critical. This presentation examines technical approaches for leveraging pre-trained transformer models to extract actionable insights and explores the implementation of secure and compliant LLMOps pipelines. It will address the challenges and solutions for establishing safe GenAI practices, particularly within regulated sectors like pharmaceuticals, emphasizing the crucial role of governance and risk mitigation in ensuring responsible data-driven decision-making. About the Speakers Shihan He is a Machine Learning Engineer at Novo Nordisk, focus on developing and implementing advanced AI solutions to drive valuable decision-making throughout the healthcare value chain. She is passionate about applying AI to improve patient outcomes, particularly for those with chronic diseases. Shihan is particularly interested in exploring the potential of GenAI and LLOps to build robust and scalable AI systems. Anubhav Srivastava is the Associate Director of the AI Center of Excellence at Novo Nordisk, leading the development and deployment of AI-powered solutions across the organization. He possesses extensive experience in building and managing high-performing AI teams and is passionate about fostering a culture of innovation and collaboration. Anubhav is committed to driving the adoption of cutting-edge AI technologies, such as GenAI and LLOps, to address critical business challenges and improve patient outcomes. Trading on Vision: The Role of VLMs in Market Insights Financial markets move at the speed of information, and traders are increasingly looking beyond traditional text-based data for an edge. Vision-Language Models (VLMs) offer a revolutionary approach by analyzing both visual and textual financial data – from satellite imagery and corporate filings to stock charts and social media trends. This talk explores how VLMs can extract alternative trading signals, interpret financial reports beyond text, and analyze sentiment from news images, all in real time. We’ll also discuss the challenges of accuracy, bias, and regulation when applying VLMs to financial decision-making. By integrating multimodal AI into trading strategies, investors can see the markets like never before. About the Speaker Daniel Gural is a seasoned Machine Learning Evangelist with a strong passion for empowering Data Scientists and ML Engineers to unlock the full potential of their data. Currently serving as a valuable member of Voxel51, he takes a leading role in efforts to bridge the gap between practitioners and the necessary tools, enabling them to achieve exceptional outcomes. Daniel’s extensive experience in teaching and developing within the ML field has fueled his commitment to democratizing high-quality AI workflows for a wider audience. Learning About Data Through Models As data-centric AI continues to grow, more time is spent curating data for better training outcomes. Over the last few years, the script has been flipped. Nowadays, models are used to inform data curation, creating a feedback loop of incremental improvements to data and models side-by-side. We’ll review some literature from the last few years, and see how we can use FiftyOne to quickly start model training on any FiftyOne dataset. About the Speaker Jacob Sela has been developing deep learning since StyleGAN first captured his imagination in 2018. Having worked through the model life cycle from idea to production dozens of times, Jacob is now using this expertise at Voxel51 to push forward data centric AI for all developers. Trust and Security in GenAI With the growing ubiquity of GenAI use-cases and deployment across industries, new vulnerabilities and risks are emerging that are not addressed by traditional cyber security or software development guardrails. This session will review examples of new Large-Language-Model (LLM) and Computer Vision use cases in a number of industries (financial services, telco, automotive, and more), the new vulnerabilities they create, and ways to mitigate such new threats and risks. About the Speaker Ken Zamkow is an experienced entrepreneur and tech executive, and leads the US activities of DeepKeep.ai, an AI-native trust and security platform for GenAI. Ken is passionate about bringing new technology products to market. He previously led business development and go-to-market for 3 acquired startups: Run:AI — acquired by Nvidia; LiveU — acquired by Francisco Partners; GoParrot — acquired by Square/Block; and has also launched new AI and developer tools as part of Intel’s Emerging Growth and Incubation group.	April 3 - New York AI, ML, and Computer Vision Meetup
April 3 - New York AI, ML, and Computer Vision Meetup 2025-04-03 · 21:00 Register to reserve your spot. When and Where April 3\, 2025 \\| 5:00 – 8:00 PM 393 Broadway 2nd Floor, New York, NY 10013 Orchestrating AI Pipelines: GenAI and LLMOps in Action The increasing adoption of Generative AI (GenAI) is transforming decision-making across industries, making robust Large Language Model Operations (LLMOps) and governance strategies critical. This presentation examines technical approaches for leveraging pre-trained transformer models to extract actionable insights and explores the implementation of secure and compliant LLMOps pipelines. It will address the challenges and solutions for establishing safe GenAI practices, particularly within regulated sectors like pharmaceuticals, emphasizing the crucial role of governance and risk mitigation in ensuring responsible data-driven decision-making. About the Speakers Shihan He is a Machine Learning Engineer at Novo Nordisk, focus on developing and implementing advanced AI solutions to drive valuable decision-making throughout the healthcare value chain. She is passionate about applying AI to improve patient outcomes, particularly for those with chronic diseases. Shihan is particularly interested in exploring the potential of GenAI and LLOps to build robust and scalable AI systems. Anubhav Srivastava is the Associate Director of the AI Center of Excellence at Novo Nordisk, leading the development and deployment of AI-powered solutions across the organization. He possesses extensive experience in building and managing high-performing AI teams and is passionate about fostering a culture of innovation and collaboration. Anubhav is committed to driving the adoption of cutting-edge AI technologies, such as GenAI and LLOps, to address critical business challenges and improve patient outcomes. Trading on Vision: The Role of VLMs in Market Insights Financial markets move at the speed of information, and traders are increasingly looking beyond traditional text-based data for an edge. Vision-Language Models (VLMs) offer a revolutionary approach by analyzing both visual and textual financial data – from satellite imagery and corporate filings to stock charts and social media trends. This talk explores how VLMs can extract alternative trading signals, interpret financial reports beyond text, and analyze sentiment from news images, all in real time. We’ll also discuss the challenges of accuracy, bias, and regulation when applying VLMs to financial decision-making. By integrating multimodal AI into trading strategies, investors can see the markets like never before. About the Speaker Daniel Gural is a seasoned Machine Learning Evangelist with a strong passion for empowering Data Scientists and ML Engineers to unlock the full potential of their data. Currently serving as a valuable member of Voxel51, he takes a leading role in efforts to bridge the gap between practitioners and the necessary tools, enabling them to achieve exceptional outcomes. Daniel’s extensive experience in teaching and developing within the ML field has fueled his commitment to democratizing high-quality AI workflows for a wider audience. Learning About Data Through Models As data-centric AI continues to grow, more time is spent curating data for better training outcomes. Over the last few years, the script has been flipped. Nowadays, models are used to inform data curation, creating a feedback loop of incremental improvements to data and models side-by-side. We’ll review some literature from the last few years, and see how we can use FiftyOne to quickly start model training on any FiftyOne dataset. About the Speaker Jacob Sela has been developing deep learning since StyleGAN first captured his imagination in 2018. Having worked through the model life cycle from idea to production dozens of times, Jacob is now using this expertise at Voxel51 to push forward data centric AI for all developers. Trust and Security in GenAI With the growing ubiquity of GenAI use-cases and deployment across industries, new vulnerabilities and risks are emerging that are not addressed by traditional cyber security or software development guardrails. This session will review examples of new Large-Language-Model (LLM) and Computer Vision use cases in a number of industries (financial services, telco, automotive, and more), the new vulnerabilities they create, and ways to mitigate such new threats and risks. About the Speaker Ken Zamkow is an experienced entrepreneur and tech executive, and leads the US activities of DeepKeep.ai, an AI-native trust and security platform for GenAI. Ken is passionate about bringing new technology products to market. He previously led business development and go-to-market for 3 acquired startups: Run:AI — acquired by Nvidia; LiveU — acquired by Francisco Partners; GoParrot — acquired by Square/Block; and has also launched new AI and developer tools as part of Intel’s Emerging Growth and Incubation group.	April 3 - New York AI, ML, and Computer Vision Meetup
April 3 - New York AI, ML, and Computer Vision Meetup 2025-04-03 · 21:00 Register to reserve your spot. When and Where April 3\, 2025 \\| 5:00 – 8:00 PM 393 Broadway 2nd Floor, New York, NY 10013 Orchestrating AI Pipelines: GenAI and LLMOps in Action The increasing adoption of Generative AI (GenAI) is transforming decision-making across industries, making robust Large Language Model Operations (LLMOps) and governance strategies critical. This presentation examines technical approaches for leveraging pre-trained transformer models to extract actionable insights and explores the implementation of secure and compliant LLMOps pipelines. It will address the challenges and solutions for establishing safe GenAI practices, particularly within regulated sectors like pharmaceuticals, emphasizing the crucial role of governance and risk mitigation in ensuring responsible data-driven decision-making. About the Speakers Shihan He is a Machine Learning Engineer at Novo Nordisk, focus on developing and implementing advanced AI solutions to drive valuable decision-making throughout the healthcare value chain. She is passionate about applying AI to improve patient outcomes, particularly for those with chronic diseases. Shihan is particularly interested in exploring the potential of GenAI and LLOps to build robust and scalable AI systems. Anubhav Srivastava is the Associate Director of the AI Center of Excellence at Novo Nordisk, leading the development and deployment of AI-powered solutions across the organization. He possesses extensive experience in building and managing high-performing AI teams and is passionate about fostering a culture of innovation and collaboration. Anubhav is committed to driving the adoption of cutting-edge AI technologies, such as GenAI and LLOps, to address critical business challenges and improve patient outcomes. Trading on Vision: The Role of VLMs in Market Insights Financial markets move at the speed of information, and traders are increasingly looking beyond traditional text-based data for an edge. Vision-Language Models (VLMs) offer a revolutionary approach by analyzing both visual and textual financial data – from satellite imagery and corporate filings to stock charts and social media trends. This talk explores how VLMs can extract alternative trading signals, interpret financial reports beyond text, and analyze sentiment from news images, all in real time. We’ll also discuss the challenges of accuracy, bias, and regulation when applying VLMs to financial decision-making. By integrating multimodal AI into trading strategies, investors can see the markets like never before. About the Speaker Daniel Gural is a seasoned Machine Learning Evangelist with a strong passion for empowering Data Scientists and ML Engineers to unlock the full potential of their data. Currently serving as a valuable member of Voxel51, he takes a leading role in efforts to bridge the gap between practitioners and the necessary tools, enabling them to achieve exceptional outcomes. Daniel’s extensive experience in teaching and developing within the ML field has fueled his commitment to democratizing high-quality AI workflows for a wider audience. Learning About Data Through Models As data-centric AI continues to grow, more time is spent curating data for better training outcomes. Over the last few years, the script has been flipped. Nowadays, models are used to inform data curation, creating a feedback loop of incremental improvements to data and models side-by-side. We’ll review some literature from the last few years, and see how we can use FiftyOne to quickly start model training on any FiftyOne dataset. About the Speaker Jacob Sela has been developing deep learning since StyleGAN first captured his imagination in 2018. Having worked through the model life cycle from idea to production dozens of times, Jacob is now using this expertise at Voxel51 to push forward data centric AI for all developers. Trust and Security in GenAI With the growing ubiquity of GenAI use-cases and deployment across industries, new vulnerabilities and risks are emerging that are not addressed by traditional cyber security or software development guardrails. This session will review examples of new Large-Language-Model (LLM) and Computer Vision use cases in a number of industries (financial services, telco, automotive, and more), the new vulnerabilities they create, and ways to mitigate such new threats and risks. About the Speaker Ken Zamkow is an experienced entrepreneur and tech executive, and leads the US activities of DeepKeep.ai, an AI-native trust and security platform for GenAI. Ken is passionate about bringing new technology products to market. He previously led business development and go-to-market for 3 acquired startups: Run:AI — acquired by Nvidia; LiveU — acquired by Francisco Partners; GoParrot — acquired by Square/Block; and has also launched new AI and developer tools as part of Intel’s Emerging Growth and Incubation group.	April 3 - New York AI, ML, and Computer Vision Meetup

April 3 - New York AI, ML, and Computer Vision Meetup 2025-04-03 · 21:00

When and Where

April 3\, 2025 \| 5:00 – 8:00 PM 393 Broadway 2nd Floor, New York, NY 10013

Orchestrating AI Pipelines: GenAI and LLMOps in Action

The increasing adoption of Generative AI (GenAI) is transforming decision-making across industries, making robust Large Language Model Operations (LLMOps) and governance strategies critical. This presentation examines technical approaches for leveraging pre-trained transformer models to extract actionable insights and explores the implementation of secure and compliant LLMOps pipelines. It will address the challenges and solutions for establishing safe GenAI practices, particularly within regulated sectors like pharmaceuticals, emphasizing the crucial role of governance and risk mitigation in ensuring responsible data-driven decision-making.

About the Speakers

Shihan He is a Machine Learning Engineer at Novo Nordisk, focus on developing and implementing advanced AI solutions to drive valuable decision-making throughout the healthcare value chain. She is passionate about applying AI to improve patient outcomes, particularly for those with chronic diseases. Shihan is particularly interested in exploring the potential of GenAI and LLOps to build robust and scalable AI systems.

Anubhav Srivastava is the Associate Director of the AI Center of Excellence at Novo Nordisk, leading the development and deployment of AI-powered solutions across the organization. He possesses extensive experience in building and managing high-performing AI teams and is passionate about fostering a culture of innovation and collaboration. Anubhav is committed to driving the adoption of cutting-edge AI technologies, such as GenAI and LLOps, to address critical business challenges and improve patient outcomes.

Trading on Vision: The Role of VLMs in Market Insights

Financial markets move at the speed of information, and traders are increasingly looking beyond traditional text-based data for an edge. Vision-Language Models (VLMs) offer a revolutionary approach by analyzing both visual and textual financial data – from satellite imagery and corporate filings to stock charts and social media trends. This talk explores how VLMs can extract alternative trading signals, interpret financial reports beyond text, and analyze sentiment from news images, all in real time. We’ll also discuss the challenges of accuracy, bias, and regulation when applying VLMs to financial decision-making. By integrating multimodal AI into trading strategies, investors can see the markets like never before.

About the Speaker

Daniel Gural is a seasoned Machine Learning Evangelist with a strong passion for empowering Data Scientists and ML Engineers to unlock the full potential of their data. Currently serving as a valuable member of Voxel51, he takes a leading role in efforts to bridge the gap between practitioners and the necessary tools, enabling them to achieve exceptional outcomes. Daniel’s extensive experience in teaching and developing within the ML field has fueled his commitment to democratizing high-quality AI workflows for a wider audience.

Learning About Data Through Models

As data-centric AI continues to grow, more time is spent curating data for better training outcomes. Over the last few years, the script has been flipped. Nowadays, models are used to inform data curation, creating a feedback loop of incremental improvements to data and models side-by-side. We’ll review some literature from the last few years, and see how we can use FiftyOne to quickly start model training on any FiftyOne dataset.

About the Speaker

Jacob Sela has been developing deep learning since StyleGAN first captured his imagination in 2018. Having worked through the model life cycle from idea to production dozens of times, Jacob is now using this expertise at Voxel51 to push forward data centric AI for all developers.

Trust and Security in GenAI

With the growing ubiquity of GenAI use-cases and deployment across industries, new vulnerabilities and risks are emerging that are not addressed by traditional cyber security or software development guardrails. This session will review examples of new Large-Language-Model (LLM) and Computer Vision use cases in a number of industries (financial services, telco, automotive, and more), the new vulnerabilities they create, and ways to mitigate such new threats and risks.

About the Speaker

Ken Zamkow is an experienced entrepreneur and tech executive, and leads the US activities of DeepKeep.ai, an AI-native trust and security platform for GenAI. Ken is passionate about bringing new technology products to market. He previously led business development and go-to-market for 3 acquired startups: Run:AI — acquired by Nvidia; LiveU — acquired by Francisco Partners; GoParrot — acquired by Square/Block; and has also launched new AI and developer tools as part of Intel’s Emerging Growth and Incubation group.

April 3 - New York AI, ML, and Computer Vision Meetup

April 3 - New York AI, ML, and Computer Vision Meetup 2025-04-03 · 21:00

Register to reserve your spot.

When and Where

April 3\, 2025 \| 5:00 – 8:00 PM 393 Broadway 2nd Floor, New York, NY 10013

Orchestrating AI Pipelines: GenAI and LLMOps in Action

The increasing adoption of Generative AI (GenAI) is transforming decision-making across industries, making robust Large Language Model Operations (LLMOps) and governance strategies critical. This presentation examines technical approaches for leveraging pre-trained transformer models to extract actionable insights and explores the implementation of secure and compliant LLMOps pipelines. It will address the challenges and solutions for establishing safe GenAI practices, particularly within regulated sectors like pharmaceuticals, emphasizing the crucial role of governance and risk mitigation in ensuring responsible data-driven decision-making.

About the Speakers

Shihan He is a Machine Learning Engineer at Novo Nordisk, focus on developing and implementing advanced AI solutions to drive valuable decision-making throughout the healthcare value chain. She is passionate about applying AI to improve patient outcomes, particularly for those with chronic diseases. Shihan is particularly interested in exploring the potential of GenAI and LLOps to build robust and scalable AI systems.

Anubhav Srivastava is the Associate Director of the AI Center of Excellence at Novo Nordisk, leading the development and deployment of AI-powered solutions across the organization. He possesses extensive experience in building and managing high-performing AI teams and is passionate about fostering a culture of innovation and collaboration. Anubhav is committed to driving the adoption of cutting-edge AI technologies, such as GenAI and LLOps, to address critical business challenges and improve patient outcomes.

Trading on Vision: The Role of VLMs in Market Insights

Financial markets move at the speed of information, and traders are increasingly looking beyond traditional text-based data for an edge. Vision-Language Models (VLMs) offer a revolutionary approach by analyzing both visual and textual financial data – from satellite imagery and corporate filings to stock charts and social media trends. This talk explores how VLMs can extract alternative trading signals, interpret financial reports beyond text, and analyze sentiment from news images, all in real time. We’ll also discuss the challenges of accuracy, bias, and regulation when applying VLMs to financial decision-making. By integrating multimodal AI into trading strategies, investors can see the markets like never before.

About the Speaker

Daniel Gural is a seasoned Machine Learning Evangelist with a strong passion for empowering Data Scientists and ML Engineers to unlock the full potential of their data. Currently serving as a valuable member of Voxel51, he takes a leading role in efforts to bridge the gap between practitioners and the necessary tools, enabling them to achieve exceptional outcomes. Daniel’s extensive experience in teaching and developing within the ML field has fueled his commitment to democratizing high-quality AI workflows for a wider audience.

Learning About Data Through Models

As data-centric AI continues to grow, more time is spent curating data for better training outcomes. Over the last few years, the script has been flipped. Nowadays, models are used to inform data curation, creating a feedback loop of incremental improvements to data and models side-by-side. We’ll review some literature from the last few years, and see how we can use FiftyOne to quickly start model training on any FiftyOne dataset.

About the Speaker

Jacob Sela has been developing deep learning since StyleGAN first captured his imagination in 2018. Having worked through the model life cycle from idea to production dozens of times, Jacob is now using this expertise at Voxel51 to push forward data centric AI for all developers.

Trust and Security in GenAI

With the growing ubiquity of GenAI use-cases and deployment across industries, new vulnerabilities and risks are emerging that are not addressed by traditional cyber security or software development guardrails. This session will review examples of new Large-Language-Model (LLM) and Computer Vision use cases in a number of industries (financial services, telco, automotive, and more), the new vulnerabilities they create, and ways to mitigate such new threats and risks.

About the Speaker

Ken Zamkow is an experienced entrepreneur and tech executive, and leads the US activities of DeepKeep.ai, an AI-native trust and security platform for GenAI. Ken is passionate about bringing new technology products to market. He previously led business development and go-to-market for 3 acquired startups: Run:AI — acquired by Nvidia; LiveU — acquired by Francisco Partners; GoParrot — acquired by Square/Block; and has also launched new AI and developer tools as part of Intel’s Emerging Growth and Incubation group.

April 3 - New York AI, ML, and Computer Vision Meetup

April 3 - New York AI, ML, and Computer Vision Meetup 2025-04-03 · 21:00

Register to reserve your spot.

When and Where

April 3\, 2025 \| 5:00 – 8:00 PM 393 Broadway 2nd Floor, New York, NY 10013

Orchestrating AI Pipelines: GenAI and LLMOps in Action

The increasing adoption of Generative AI (GenAI) is transforming decision-making across industries, making robust Large Language Model Operations (LLMOps) and governance strategies critical. This presentation examines technical approaches for leveraging pre-trained transformer models to extract actionable insights and explores the implementation of secure and compliant LLMOps pipelines. It will address the challenges and solutions for establishing safe GenAI practices, particularly within regulated sectors like pharmaceuticals, emphasizing the crucial role of governance and risk mitigation in ensuring responsible data-driven decision-making.

About the Speakers

Shihan He is a Machine Learning Engineer at Novo Nordisk, focus on developing and implementing advanced AI solutions to drive valuable decision-making throughout the healthcare value chain. She is passionate about applying AI to improve patient outcomes, particularly for those with chronic diseases. Shihan is particularly interested in exploring the potential of GenAI and LLOps to build robust and scalable AI systems.

Anubhav Srivastava is the Associate Director of the AI Center of Excellence at Novo Nordisk, leading the development and deployment of AI-powered solutions across the organization. He possesses extensive experience in building and managing high-performing AI teams and is passionate about fostering a culture of innovation and collaboration. Anubhav is committed to driving the adoption of cutting-edge AI technologies, such as GenAI and LLOps, to address critical business challenges and improve patient outcomes.

Trading on Vision: The Role of VLMs in Market Insights

Financial markets move at the speed of information, and traders are increasingly looking beyond traditional text-based data for an edge. Vision-Language Models (VLMs) offer a revolutionary approach by analyzing both visual and textual financial data – from satellite imagery and corporate filings to stock charts and social media trends. This talk explores how VLMs can extract alternative trading signals, interpret financial reports beyond text, and analyze sentiment from news images, all in real time. We’ll also discuss the challenges of accuracy, bias, and regulation when applying VLMs to financial decision-making. By integrating multimodal AI into trading strategies, investors can see the markets like never before.

About the Speaker

Daniel Gural is a seasoned Machine Learning Evangelist with a strong passion for empowering Data Scientists and ML Engineers to unlock the full potential of their data. Currently serving as a valuable member of Voxel51, he takes a leading role in efforts to bridge the gap between practitioners and the necessary tools, enabling them to achieve exceptional outcomes. Daniel’s extensive experience in teaching and developing within the ML field has fueled his commitment to democratizing high-quality AI workflows for a wider audience.

Learning About Data Through Models

As data-centric AI continues to grow, more time is spent curating data for better training outcomes. Over the last few years, the script has been flipped. Nowadays, models are used to inform data curation, creating a feedback loop of incremental improvements to data and models side-by-side. We’ll review some literature from the last few years, and see how we can use FiftyOne to quickly start model training on any FiftyOne dataset.

About the Speaker

Jacob Sela has been developing deep learning since StyleGAN first captured his imagination in 2018. Having worked through the model life cycle from idea to production dozens of times, Jacob is now using this expertise at Voxel51 to push forward data centric AI for all developers.

Trust and Security in GenAI

With the growing ubiquity of GenAI use-cases and deployment across industries, new vulnerabilities and risks are emerging that are not addressed by traditional cyber security or software development guardrails. This session will review examples of new Large-Language-Model (LLM) and Computer Vision use cases in a number of industries (financial services, telco, automotive, and more), the new vulnerabilities they create, and ways to mitigate such new threats and risks.

About the Speaker

Ken Zamkow is an experienced entrepreneur and tech executive, and leads the US activities of DeepKeep.ai, an AI-native trust and security platform for GenAI. Ken is passionate about bringing new technology products to market. He previously led business development and go-to-market for 3 acquired startups: Run:AI — acquired by Nvidia; LiveU — acquired by Francisco Partners; GoParrot — acquired by Square/Block; and has also launched new AI and developer tools as part of Intel’s Emerging Growth and Incubation group.

April 3 - New York AI, ML, and Computer Vision Meetup

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