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People (8 results)
See all 8 →Aishwarya Srinivasan
Data scientist and deep learning researcher · Fireworks AI
BARBARA LATULIPPE
CDO, Enterprise Data and AI · Takeda Pharmaceuticals - USA
Anagha Vyas
Director, Data Science, AI, Commercial Technologies and Enterprise Digital · Cardinal Health
Activities & events
| Title & Speakers | Event |
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ClickHouse Gurgaon/Delhi Meetup
2026-01-10 · 05:00
Start 2026 with the ClickHouse India community in Gurgaon! Connect with fellow data practitioners and hear from industry experts through engaging talks focused on lessons learned, best practices, and modern data challenges. Agenda:
👉🏼 RSVP to secure your spot! Interested in speaking at this meetup or future ClickHouse events? 🎤Shoot an email to [email protected] and she'll be in touch. ******** 🎤 Session Details: Inside ClickStack: Engineering Observability for Scale Dive deep into ClickStack, ClickHouse’s fresh approach to observability built for engineers who care about speed, scale, and simplicity. We’ll unpack the technical architecture behind how ClickStack handles metrics, logs, and traces using ClickHouse as the backbone for real-time, high-cardinality analytics. Expect a hands-on look at ingestion pipelines, schema design patterns, query optimization, and the integrations that make ClickStack tick. Speaker: Rakesh Puttaswamy, Lead Solutions Architect @ ClickHouse 🎤 Session Details: Supercharging Personalised Notifications At Jobhai With ClickHouse Calculating personalized alerts for 2 million users is a data-heavy challenge that requires more than just standard indexing. This talk explores how Jobhai uses ClickHouse to power its morning notification pipeline, focusing on the architectural shifts and query optimizations that made our massive scale manageable and fast. Speaker: Sumit Kumar and Arvind Saini, Tech Leads @ Info Edge Sumit is a seasoned software engineer with deep expertise in databases, backend systems, and machine learning. For over six years, he has led the Jobhai engineering team, driving continuous improvements across their database infrastructure and user-facing systems while streamlining workflows through ongoing innovation. Connect with Sumit Kumar on LinkedIn. Arvind is a Tech Lead at Info Edge India Ltd with experience building and scaling backend systems for large consumer and enterprise platforms. Over the years, they have worked across system design, backend optimization, and data-driven services, contributing to initiatives such as notification platforms, workflow automation, and product revamps. Their work focuses on improving reliability, performance, and scalability of distributed systems, and they enjoy solving complex engineering problems while mentoring teams and driving technical excellence. 🎤 Session Details: Simplifying CDC: Migrating from Debezium to ClickPipes In this talk, Abhash will share their engineering team's journey migrating our core MySQL and MongoDB CDC flows to ClickPipes. We will contrast our previous architecture—where every schema change required manual intervention or complex Debezium configurations—with the new reality of ClickPipes' automated schema evolution, which seamlessly handles upstream schema changes and ingests flexible data without breaking pipelines. Speaker: Abhash Solanki, DevOps Engineer @ Spyne AI Abhash serves as a DevOps Engineer at Spyne, orchestrating the AWS infrastructure behind the company's data warehouse and CDC pipelines. Having managed complex self-hosted Debezium and Kafka clusters, he understands the operational overhead of running stateful data stacks in the cloud. He recently led the architectural shift to ClickHouse Cloud, focusing on eliminating engineering toil and automating schema evolution handling. 🎤 Session Details: Solving Analytics at Scale: From CDC to Actionable Insights As SAMARTH’s data volumes grew rapidly, our analytics systems faced challenges with frequent data changes and near real-time reporting. These challenges were compounded by the platform’s inherently high cardinality in multidimensional data models - spanning institutions, programmes, states, categories, workflow stages, and time, resulting in highly complex and dynamic query patterns. This talk describes how we evolved from basic CDC pipelines to a fast, reliable, and scalable near real-time analytics platform using ClickHouse. We share key design and operational learnings that enabled us to process continuous high-volume transactional data and deliver low-latency analytics for operational monitoring and policy-level decision-making. Speaker: Kunal Sharma, Software Developer @ Samarth eGov Kunal Sharma is a data-focused professional with experience in building scalable data pipelines. His work includes designing and implementing robust ETL/ELT workflows, data-driven decision engines, and large-scale analytics platforms. At SAMARTH, he has contributed to building near real-time analytics systems, including the implementation of ClickHouse for large-scale, low-latency analytics. |
ClickHouse Gurgaon/Delhi Meetup
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Sept 12 - Visual AI in Manufacturing and Robotics (Day 3)
2025-09-12 · 19:00
Join us for day three in a series of virtual events to hear talks from experts on the latest developments at the intersection of Visual AI, Manufacturing and Robotics. Date and Time Sept 12 at 9 AM Pacific Location Virtual. Register for the Zoom! Towards Robotics Foundation Models that Can Reason In recent years, we have witnessed remarkable progress in generative AI, particularly in language and visual understanding and generation. This leap has been fueled by unprecedentedly large image–text datasets and the scaling of large language and vision models trained on them. Increasingly, these advances are being leveraged to equip and empower robots with open-world visual understanding and reasoning capabilities. Yet, despite these advances, scaling such models for robotics remains challenging due to the scarcity of large-scale, high-quality robot interaction data, limiting their ability to generalize and truly reason about actions in the real world. Nonetheless, promising results are emerging from using multimodal large language models (MLLMs) as the backbone of robotic systems, especially in enabling the acquisition of low-level skills required for robust deployment in everyday household settings. In this talk, I will present three recent works that aim to bridge the gap between rich semantic world knowledge in MLLMs and actionable robot control. I will begin with AHA, a vision-language model that reasons about failures in robotic manipulation and improves the robustness of existing systems. Building on this, I will introduce SAM2Act, a 3D generalist robotic model with a memory-centric architecture capable of performing high-precision manipulation tasks while retaining and reasoning over past observations. Finally, I will present MolmoAct, AI2’s flagship robotic foundation model for action reasoning, designed as a generalist system that can be post-trained for a wide range of downstream manipulation tasks. About the Speaker Jiafei Duan is a Ph.D. candidate in Computer Science & Engineering at the University of Washington, advised by Professors Dieter Fox and Ranjay Krishna. His research focuses on foundation models for robotics, with an emphasis on developing scalable data collection and generation methods, grounding vision-language models in robotic reasoning, and advancing robust generalization in robot learning. His work has been featured in MIT Technology Review, GreekWire, VentureBeat, and Business Wire. Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection In this talk, I will share our recent research efforts in visual industrial anomaly detection. It will present a comprehensive empirical analysis with a focus on real-world applications, demonstrating that recent SOTA methods perform worse than methods from 2021 when evaluated on a variety of datasets. We will also investigate how different practical aspects, such as input size, distribution shift, data contamination, and having a validation set, affect the results. About the Speaker Aimira Baitieva is a Research Engineer at Valeo, where she works primarily on computer vision problems. Her recent work has been focused on deep learning anomaly detection for automating visual inspection, incorporating both research and practical applications in the manufacturing sector. The Digital Reasoning Thread in Manufacturing: Orchestrating Vision, Simulation, and Robotics Manufacturing is entering a new phase where AI is no longer confined to isolated tasks like defect detection or predictive maintenance. Advances in reasoning AI, simulation, and robotics are converging to create end-to-end systems that can perceive, decide, and act – in both digital and physical environments. This talk introduces the Digital Reasoning Thread – a consistent layer of AI reasoning that runs through every stage of manufacturing, connecting visual intelligence, digital twins, simulation environments, and robotic execution. By linking perception with advanced reasoning and action, this approach enables faster, higher-quality decisions across the entire value chain. We will explore real-world examples of applying reasoning AI in industrial settings, combining simulation-driven analysis, orchestration frameworks, and the foundations needed for robotic execution in the physical world. Along the way, we will examine the key technical building blocks – from data pipelines and interoperability standards to agentic AI architectures – that make this level of integration possible. Attendees will gain a clear understanding of how to bridge AI-driven perception with simulation and robotics, and what it takes to move from isolated pilots to orchestrated, autonomous manufacturing systems. About the Speaker Vlad Larichev is an Industrial AI Lead at Accenture Industry X, specializing in applying AI, generative AI, and agentic AI to engineering, manufacturing, and large-scale industrial operations. With a background as an engineer, solution architect, and software developer, he has led AI initiatives across sectors including automotive, energy, and consumer goods, integrating advanced analytics, computer vision, and simulation into complex industrial environments. Vlad is the creator of the Digital Reasoning Thread – a framework for connecting AI reasoning across visual intelligence, simulation, and physical execution. He is an active public speaker, podcast host, and community builder, sharing practical insights on scaling AI from pilot projects to enterprise-wide adoption. The Road to Useful Robots This talk explores the current state of AI-enabled robots and the issues with deploying more advanced models on constrained hardware, including limited compute and power budgets. It then moves on to what's next for developing useful, intelligent robots. About the Speaker Michael Hart, also known as Mike Likes Robots. is a robotics software engineer and content creator. His mission is to share knowledge to accelerate robotics. @mikelikesrobots |
Sept 12 - Visual AI in Manufacturing and Robotics (Day 3)
|
|
Sept 12 - Visual AI in Manufacturing and Robotics (Day 3)
2025-09-12 · 19:00
Join us for day three in a series of virtual events to hear talks from experts on the latest developments at the intersection of Visual AI, Manufacturing and Robotics. Date and Time Sept 12 at 9 AM Pacific Location Virtual. Register for the Zoom! Towards Robotics Foundation Models that Can Reason In recent years, we have witnessed remarkable progress in generative AI, particularly in language and visual understanding and generation. This leap has been fueled by unprecedentedly large image–text datasets and the scaling of large language and vision models trained on them. Increasingly, these advances are being leveraged to equip and empower robots with open-world visual understanding and reasoning capabilities. Yet, despite these advances, scaling such models for robotics remains challenging due to the scarcity of large-scale, high-quality robot interaction data, limiting their ability to generalize and truly reason about actions in the real world. Nonetheless, promising results are emerging from using multimodal large language models (MLLMs) as the backbone of robotic systems, especially in enabling the acquisition of low-level skills required for robust deployment in everyday household settings. In this talk, I will present three recent works that aim to bridge the gap between rich semantic world knowledge in MLLMs and actionable robot control. I will begin with AHA, a vision-language model that reasons about failures in robotic manipulation and improves the robustness of existing systems. Building on this, I will introduce SAM2Act, a 3D generalist robotic model with a memory-centric architecture capable of performing high-precision manipulation tasks while retaining and reasoning over past observations. Finally, I will present MolmoAct, AI2’s flagship robotic foundation model for action reasoning, designed as a generalist system that can be post-trained for a wide range of downstream manipulation tasks. About the Speaker Jiafei Duan is a Ph.D. candidate in Computer Science & Engineering at the University of Washington, advised by Professors Dieter Fox and Ranjay Krishna. His research focuses on foundation models for robotics, with an emphasis on developing scalable data collection and generation methods, grounding vision-language models in robotic reasoning, and advancing robust generalization in robot learning. His work has been featured in MIT Technology Review, GreekWire, VentureBeat, and Business Wire. Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection In this talk, I will share our recent research efforts in visual industrial anomaly detection. It will present a comprehensive empirical analysis with a focus on real-world applications, demonstrating that recent SOTA methods perform worse than methods from 2021 when evaluated on a variety of datasets. We will also investigate how different practical aspects, such as input size, distribution shift, data contamination, and having a validation set, affect the results. About the Speaker Aimira Baitieva is a Research Engineer at Valeo, where she works primarily on computer vision problems. Her recent work has been focused on deep learning anomaly detection for automating visual inspection, incorporating both research and practical applications in the manufacturing sector. The Digital Reasoning Thread in Manufacturing: Orchestrating Vision, Simulation, and Robotics Manufacturing is entering a new phase where AI is no longer confined to isolated tasks like defect detection or predictive maintenance. Advances in reasoning AI, simulation, and robotics are converging to create end-to-end systems that can perceive, decide, and act – in both digital and physical environments. This talk introduces the Digital Reasoning Thread – a consistent layer of AI reasoning that runs through every stage of manufacturing, connecting visual intelligence, digital twins, simulation environments, and robotic execution. By linking perception with advanced reasoning and action, this approach enables faster, higher-quality decisions across the entire value chain. We will explore real-world examples of applying reasoning AI in industrial settings, combining simulation-driven analysis, orchestration frameworks, and the foundations needed for robotic execution in the physical world. Along the way, we will examine the key technical building blocks – from data pipelines and interoperability standards to agentic AI architectures – that make this level of integration possible. Attendees will gain a clear understanding of how to bridge AI-driven perception with simulation and robotics, and what it takes to move from isolated pilots to orchestrated, autonomous manufacturing systems. About the Speaker Vlad Larichev is an Industrial AI Lead at Accenture Industry X, specializing in applying AI, generative AI, and agentic AI to engineering, manufacturing, and large-scale industrial operations. With a background as an engineer, solution architect, and software developer, he has led AI initiatives across sectors including automotive, energy, and consumer goods, integrating advanced analytics, computer vision, and simulation into complex industrial environments. Vlad is the creator of the Digital Reasoning Thread – a framework for connecting AI reasoning across visual intelligence, simulation, and physical execution. He is an active public speaker, podcast host, and community builder, sharing practical insights on scaling AI from pilot projects to enterprise-wide adoption. The Road to Useful Robots This talk explores the current state of AI-enabled robots and the issues with deploying more advanced models on constrained hardware, including limited compute and power budgets. It then moves on to what's next for developing useful, intelligent robots. About the Speaker Michael Hart, also known as Mike Likes Robots. is a robotics software engineer and content creator. His mission is to share knowledge to accelerate robotics. @mikelikesrobots |
Sept 12 - Visual AI in Manufacturing and Robotics (Day 3)
|
|
Sept 12 - Visual AI in Manufacturing and Robotics (Day 3)
2025-09-12 · 19:00
Join us for day three in a series of virtual events to hear talks from experts on the latest developments at the intersection of Visual AI, Manufacturing and Robotics. Date and Time Sept 12 at 9 AM Pacific Location Virtual. Register for the Zoom! Towards Robotics Foundation Models that Can Reason In recent years, we have witnessed remarkable progress in generative AI, particularly in language and visual understanding and generation. This leap has been fueled by unprecedentedly large image–text datasets and the scaling of large language and vision models trained on them. Increasingly, these advances are being leveraged to equip and empower robots with open-world visual understanding and reasoning capabilities. Yet, despite these advances, scaling such models for robotics remains challenging due to the scarcity of large-scale, high-quality robot interaction data, limiting their ability to generalize and truly reason about actions in the real world. Nonetheless, promising results are emerging from using multimodal large language models (MLLMs) as the backbone of robotic systems, especially in enabling the acquisition of low-level skills required for robust deployment in everyday household settings. In this talk, I will present three recent works that aim to bridge the gap between rich semantic world knowledge in MLLMs and actionable robot control. I will begin with AHA, a vision-language model that reasons about failures in robotic manipulation and improves the robustness of existing systems. Building on this, I will introduce SAM2Act, a 3D generalist robotic model with a memory-centric architecture capable of performing high-precision manipulation tasks while retaining and reasoning over past observations. Finally, I will present MolmoAct, AI2’s flagship robotic foundation model for action reasoning, designed as a generalist system that can be post-trained for a wide range of downstream manipulation tasks. About the Speaker Jiafei Duan is a Ph.D. candidate in Computer Science & Engineering at the University of Washington, advised by Professors Dieter Fox and Ranjay Krishna. His research focuses on foundation models for robotics, with an emphasis on developing scalable data collection and generation methods, grounding vision-language models in robotic reasoning, and advancing robust generalization in robot learning. His work has been featured in MIT Technology Review, GreekWire, VentureBeat, and Business Wire. Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection In this talk, I will share our recent research efforts in visual industrial anomaly detection. It will present a comprehensive empirical analysis with a focus on real-world applications, demonstrating that recent SOTA methods perform worse than methods from 2021 when evaluated on a variety of datasets. We will also investigate how different practical aspects, such as input size, distribution shift, data contamination, and having a validation set, affect the results. About the Speaker Aimira Baitieva is a Research Engineer at Valeo, where she works primarily on computer vision problems. Her recent work has been focused on deep learning anomaly detection for automating visual inspection, incorporating both research and practical applications in the manufacturing sector. The Digital Reasoning Thread in Manufacturing: Orchestrating Vision, Simulation, and Robotics Manufacturing is entering a new phase where AI is no longer confined to isolated tasks like defect detection or predictive maintenance. Advances in reasoning AI, simulation, and robotics are converging to create end-to-end systems that can perceive, decide, and act – in both digital and physical environments. This talk introduces the Digital Reasoning Thread – a consistent layer of AI reasoning that runs through every stage of manufacturing, connecting visual intelligence, digital twins, simulation environments, and robotic execution. By linking perception with advanced reasoning and action, this approach enables faster, higher-quality decisions across the entire value chain. We will explore real-world examples of applying reasoning AI in industrial settings, combining simulation-driven analysis, orchestration frameworks, and the foundations needed for robotic execution in the physical world. Along the way, we will examine the key technical building blocks – from data pipelines and interoperability standards to agentic AI architectures – that make this level of integration possible. Attendees will gain a clear understanding of how to bridge AI-driven perception with simulation and robotics, and what it takes to move from isolated pilots to orchestrated, autonomous manufacturing systems. About the Speaker Vlad Larichev is an Industrial AI Lead at Accenture Industry X, specializing in applying AI, generative AI, and agentic AI to engineering, manufacturing, and large-scale industrial operations. With a background as an engineer, solution architect, and software developer, he has led AI initiatives across sectors including automotive, energy, and consumer goods, integrating advanced analytics, computer vision, and simulation into complex industrial environments. Vlad is the creator of the Digital Reasoning Thread – a framework for connecting AI reasoning across visual intelligence, simulation, and physical execution. He is an active public speaker, podcast host, and community builder, sharing practical insights on scaling AI from pilot projects to enterprise-wide adoption. The Road to Useful Robots This talk explores the current state of AI-enabled robots and the issues with deploying more advanced models on constrained hardware, including limited compute and power budgets. It then moves on to what's next for developing useful, intelligent robots. About the Speaker Michael Hart, also known as Mike Likes Robots. is a robotics software engineer and content creator. His mission is to share knowledge to accelerate robotics. @mikelikesrobots |
Sept 12 - Visual AI in Manufacturing and Robotics (Day 3)
|
|
Sept 12 - Visual AI in Manufacturing and Robotics (Day 3)
2025-09-12 · 19:00
Join us for day three in a series of virtual events to hear talks from experts on the latest developments at the intersection of Visual AI, Manufacturing and Robotics. Date and Time Sept 12 at 9 AM Pacific Location Virtual. Register for the Zoom! Towards Robotics Foundation Models that Can Reason In recent years, we have witnessed remarkable progress in generative AI, particularly in language and visual understanding and generation. This leap has been fueled by unprecedentedly large image–text datasets and the scaling of large language and vision models trained on them. Increasingly, these advances are being leveraged to equip and empower robots with open-world visual understanding and reasoning capabilities. Yet, despite these advances, scaling such models for robotics remains challenging due to the scarcity of large-scale, high-quality robot interaction data, limiting their ability to generalize and truly reason about actions in the real world. Nonetheless, promising results are emerging from using multimodal large language models (MLLMs) as the backbone of robotic systems, especially in enabling the acquisition of low-level skills required for robust deployment in everyday household settings. In this talk, I will present three recent works that aim to bridge the gap between rich semantic world knowledge in MLLMs and actionable robot control. I will begin with AHA, a vision-language model that reasons about failures in robotic manipulation and improves the robustness of existing systems. Building on this, I will introduce SAM2Act, a 3D generalist robotic model with a memory-centric architecture capable of performing high-precision manipulation tasks while retaining and reasoning over past observations. Finally, I will present MolmoAct, AI2’s flagship robotic foundation model for action reasoning, designed as a generalist system that can be post-trained for a wide range of downstream manipulation tasks. About the Speaker Jiafei Duan is a Ph.D. candidate in Computer Science & Engineering at the University of Washington, advised by Professors Dieter Fox and Ranjay Krishna. His research focuses on foundation models for robotics, with an emphasis on developing scalable data collection and generation methods, grounding vision-language models in robotic reasoning, and advancing robust generalization in robot learning. His work has been featured in MIT Technology Review, GreekWire, VentureBeat, and Business Wire. Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection In this talk, I will share our recent research efforts in visual industrial anomaly detection. It will present a comprehensive empirical analysis with a focus on real-world applications, demonstrating that recent SOTA methods perform worse than methods from 2021 when evaluated on a variety of datasets. We will also investigate how different practical aspects, such as input size, distribution shift, data contamination, and having a validation set, affect the results. About the Speaker Aimira Baitieva is a Research Engineer at Valeo, where she works primarily on computer vision problems. Her recent work has been focused on deep learning anomaly detection for automating visual inspection, incorporating both research and practical applications in the manufacturing sector. The Digital Reasoning Thread in Manufacturing: Orchestrating Vision, Simulation, and Robotics Manufacturing is entering a new phase where AI is no longer confined to isolated tasks like defect detection or predictive maintenance. Advances in reasoning AI, simulation, and robotics are converging to create end-to-end systems that can perceive, decide, and act – in both digital and physical environments. This talk introduces the Digital Reasoning Thread – a consistent layer of AI reasoning that runs through every stage of manufacturing, connecting visual intelligence, digital twins, simulation environments, and robotic execution. By linking perception with advanced reasoning and action, this approach enables faster, higher-quality decisions across the entire value chain. We will explore real-world examples of applying reasoning AI in industrial settings, combining simulation-driven analysis, orchestration frameworks, and the foundations needed for robotic execution in the physical world. Along the way, we will examine the key technical building blocks – from data pipelines and interoperability standards to agentic AI architectures – that make this level of integration possible. Attendees will gain a clear understanding of how to bridge AI-driven perception with simulation and robotics, and what it takes to move from isolated pilots to orchestrated, autonomous manufacturing systems. About the Speaker Vlad Larichev is an Industrial AI Lead at Accenture Industry X, specializing in applying AI, generative AI, and agentic AI to engineering, manufacturing, and large-scale industrial operations. With a background as an engineer, solution architect, and software developer, he has led AI initiatives across sectors including automotive, energy, and consumer goods, integrating advanced analytics, computer vision, and simulation into complex industrial environments. Vlad is the creator of the Digital Reasoning Thread – a framework for connecting AI reasoning across visual intelligence, simulation, and physical execution. He is an active public speaker, podcast host, and community builder, sharing practical insights on scaling AI from pilot projects to enterprise-wide adoption. The Road to Useful Robots This talk explores the current state of AI-enabled robots and the issues with deploying more advanced models on constrained hardware, including limited compute and power budgets. It then moves on to what's next for developing useful, intelligent robots. About the Speaker Michael Hart, also known as Mike Likes Robots. is a robotics software engineer and content creator. His mission is to share knowledge to accelerate robotics. @mikelikesrobots |
Sept 12 - Visual AI in Manufacturing and Robotics (Day 3)
|
|
Sept 12 - Visual AI in Manufacturing and Robotics (Day 3)
2025-09-12 · 19:00
Join us for day three in a series of virtual events to hear talks from experts on the latest developments at the intersection of Visual AI, Manufacturing and Robotics. Date and Time Sept 12 at 9 AM Pacific Location Virtual. Register for the Zoom! Towards Robotics Foundation Models that Can Reason In recent years, we have witnessed remarkable progress in generative AI, particularly in language and visual understanding and generation. This leap has been fueled by unprecedentedly large image–text datasets and the scaling of large language and vision models trained on them. Increasingly, these advances are being leveraged to equip and empower robots with open-world visual understanding and reasoning capabilities. Yet, despite these advances, scaling such models for robotics remains challenging due to the scarcity of large-scale, high-quality robot interaction data, limiting their ability to generalize and truly reason about actions in the real world. Nonetheless, promising results are emerging from using multimodal large language models (MLLMs) as the backbone of robotic systems, especially in enabling the acquisition of low-level skills required for robust deployment in everyday household settings. In this talk, I will present three recent works that aim to bridge the gap between rich semantic world knowledge in MLLMs and actionable robot control. I will begin with AHA, a vision-language model that reasons about failures in robotic manipulation and improves the robustness of existing systems. Building on this, I will introduce SAM2Act, a 3D generalist robotic model with a memory-centric architecture capable of performing high-precision manipulation tasks while retaining and reasoning over past observations. Finally, I will present MolmoAct, AI2’s flagship robotic foundation model for action reasoning, designed as a generalist system that can be post-trained for a wide range of downstream manipulation tasks. About the Speaker Jiafei Duan is a Ph.D. candidate in Computer Science & Engineering at the University of Washington, advised by Professors Dieter Fox and Ranjay Krishna. His research focuses on foundation models for robotics, with an emphasis on developing scalable data collection and generation methods, grounding vision-language models in robotic reasoning, and advancing robust generalization in robot learning. His work has been featured in MIT Technology Review, GreekWire, VentureBeat, and Business Wire. Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection In this talk, I will share our recent research efforts in visual industrial anomaly detection. It will present a comprehensive empirical analysis with a focus on real-world applications, demonstrating that recent SOTA methods perform worse than methods from 2021 when evaluated on a variety of datasets. We will also investigate how different practical aspects, such as input size, distribution shift, data contamination, and having a validation set, affect the results. About the Speaker Aimira Baitieva is a Research Engineer at Valeo, where she works primarily on computer vision problems. Her recent work has been focused on deep learning anomaly detection for automating visual inspection, incorporating both research and practical applications in the manufacturing sector. The Digital Reasoning Thread in Manufacturing: Orchestrating Vision, Simulation, and Robotics Manufacturing is entering a new phase where AI is no longer confined to isolated tasks like defect detection or predictive maintenance. Advances in reasoning AI, simulation, and robotics are converging to create end-to-end systems that can perceive, decide, and act – in both digital and physical environments. This talk introduces the Digital Reasoning Thread – a consistent layer of AI reasoning that runs through every stage of manufacturing, connecting visual intelligence, digital twins, simulation environments, and robotic execution. By linking perception with advanced reasoning and action, this approach enables faster, higher-quality decisions across the entire value chain. We will explore real-world examples of applying reasoning AI in industrial settings, combining simulation-driven analysis, orchestration frameworks, and the foundations needed for robotic execution in the physical world. Along the way, we will examine the key technical building blocks – from data pipelines and interoperability standards to agentic AI architectures – that make this level of integration possible. Attendees will gain a clear understanding of how to bridge AI-driven perception with simulation and robotics, and what it takes to move from isolated pilots to orchestrated, autonomous manufacturing systems. About the Speaker Vlad Larichev is an Industrial AI Lead at Accenture Industry X, specializing in applying AI, generative AI, and agentic AI to engineering, manufacturing, and large-scale industrial operations. With a background as an engineer, solution architect, and software developer, he has led AI initiatives across sectors including automotive, energy, and consumer goods, integrating advanced analytics, computer vision, and simulation into complex industrial environments. Vlad is the creator of the Digital Reasoning Thread – a framework for connecting AI reasoning across visual intelligence, simulation, and physical execution. He is an active public speaker, podcast host, and community builder, sharing practical insights on scaling AI from pilot projects to enterprise-wide adoption. The Road to Useful Robots This talk explores the current state of AI-enabled robots and the issues with deploying more advanced models on constrained hardware, including limited compute and power budgets. It then moves on to what's next for developing useful, intelligent robots. About the Speaker Michael Hart, also known as Mike Likes Robots. is a robotics software engineer and content creator. His mission is to share knowledge to accelerate robotics. @mikelikesrobots |
Sept 12 - Visual AI in Manufacturing and Robotics (Day 3)
|
|
Sept 12 - Visual AI in Manufacturing and Robotics (Day 3)
2025-09-12 · 19:00
Join us for day three in a series of virtual events to hear talks from experts on the latest developments at the intersection of Visual AI, Manufacturing and Robotics. Date and Time Sept 12 at 9 AM Pacific Location Virtual. Register for the Zoom! Towards Robotics Foundation Models that Can Reason In recent years, we have witnessed remarkable progress in generative AI, particularly in language and visual understanding and generation. This leap has been fueled by unprecedentedly large image–text datasets and the scaling of large language and vision models trained on them. Increasingly, these advances are being leveraged to equip and empower robots with open-world visual understanding and reasoning capabilities. Yet, despite these advances, scaling such models for robotics remains challenging due to the scarcity of large-scale, high-quality robot interaction data, limiting their ability to generalize and truly reason about actions in the real world. Nonetheless, promising results are emerging from using multimodal large language models (MLLMs) as the backbone of robotic systems, especially in enabling the acquisition of low-level skills required for robust deployment in everyday household settings. In this talk, I will present three recent works that aim to bridge the gap between rich semantic world knowledge in MLLMs and actionable robot control. I will begin with AHA, a vision-language model that reasons about failures in robotic manipulation and improves the robustness of existing systems. Building on this, I will introduce SAM2Act, a 3D generalist robotic model with a memory-centric architecture capable of performing high-precision manipulation tasks while retaining and reasoning over past observations. Finally, I will present MolmoAct, AI2’s flagship robotic foundation model for action reasoning, designed as a generalist system that can be post-trained for a wide range of downstream manipulation tasks. About the Speaker Jiafei Duan is a Ph.D. candidate in Computer Science & Engineering at the University of Washington, advised by Professors Dieter Fox and Ranjay Krishna. His research focuses on foundation models for robotics, with an emphasis on developing scalable data collection and generation methods, grounding vision-language models in robotic reasoning, and advancing robust generalization in robot learning. His work has been featured in MIT Technology Review, GreekWire, VentureBeat, and Business Wire. Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection In this talk, I will share our recent research efforts in visual industrial anomaly detection. It will present a comprehensive empirical analysis with a focus on real-world applications, demonstrating that recent SOTA methods perform worse than methods from 2021 when evaluated on a variety of datasets. We will also investigate how different practical aspects, such as input size, distribution shift, data contamination, and having a validation set, affect the results. About the Speaker Aimira Baitieva is a Research Engineer at Valeo, where she works primarily on computer vision problems. Her recent work has been focused on deep learning anomaly detection for automating visual inspection, incorporating both research and practical applications in the manufacturing sector. The Digital Reasoning Thread in Manufacturing: Orchestrating Vision, Simulation, and Robotics Manufacturing is entering a new phase where AI is no longer confined to isolated tasks like defect detection or predictive maintenance. Advances in reasoning AI, simulation, and robotics are converging to create end-to-end systems that can perceive, decide, and act – in both digital and physical environments. This talk introduces the Digital Reasoning Thread – a consistent layer of AI reasoning that runs through every stage of manufacturing, connecting visual intelligence, digital twins, simulation environments, and robotic execution. By linking perception with advanced reasoning and action, this approach enables faster, higher-quality decisions across the entire value chain. We will explore real-world examples of applying reasoning AI in industrial settings, combining simulation-driven analysis, orchestration frameworks, and the foundations needed for robotic execution in the physical world. Along the way, we will examine the key technical building blocks – from data pipelines and interoperability standards to agentic AI architectures – that make this level of integration possible. Attendees will gain a clear understanding of how to bridge AI-driven perception with simulation and robotics, and what it takes to move from isolated pilots to orchestrated, autonomous manufacturing systems. About the Speaker Vlad Larichev is an Industrial AI Lead at Accenture Industry X, specializing in applying AI, generative AI, and agentic AI to engineering, manufacturing, and large-scale industrial operations. With a background as an engineer, solution architect, and software developer, he has led AI initiatives across sectors including automotive, energy, and consumer goods, integrating advanced analytics, computer vision, and simulation into complex industrial environments. Vlad is the creator of the Digital Reasoning Thread – a framework for connecting AI reasoning across visual intelligence, simulation, and physical execution. He is an active public speaker, podcast host, and community builder, sharing practical insights on scaling AI from pilot projects to enterprise-wide adoption. The Road to Useful Robots This talk explores the current state of AI-enabled robots and the issues with deploying more advanced models on constrained hardware, including limited compute and power budgets. It then moves on to what's next for developing useful, intelligent robots. About the Speaker Michael Hart, also known as Mike Likes Robots. is a robotics software engineer and content creator. His mission is to share knowledge to accelerate robotics. @mikelikesrobots |
Sept 12 - Visual AI in Manufacturing and Robotics (Day 3)
|
|
Sept 12 - Visual AI in Manufacturing and Robotics (Day 3)
2025-09-12 · 19:00
Join us for day three in a series of virtual events to hear talks from experts on the latest developments at the intersection of Visual AI, Manufacturing and Robotics. Date and Time Sept 12 at 9 AM Pacific Location Virtual. Register for the Zoom! Towards Robotics Foundation Models that Can Reason In recent years, we have witnessed remarkable progress in generative AI, particularly in language and visual understanding and generation. This leap has been fueled by unprecedentedly large image–text datasets and the scaling of large language and vision models trained on them. Increasingly, these advances are being leveraged to equip and empower robots with open-world visual understanding and reasoning capabilities. Yet, despite these advances, scaling such models for robotics remains challenging due to the scarcity of large-scale, high-quality robot interaction data, limiting their ability to generalize and truly reason about actions in the real world. Nonetheless, promising results are emerging from using multimodal large language models (MLLMs) as the backbone of robotic systems, especially in enabling the acquisition of low-level skills required for robust deployment in everyday household settings. In this talk, I will present three recent works that aim to bridge the gap between rich semantic world knowledge in MLLMs and actionable robot control. I will begin with AHA, a vision-language model that reasons about failures in robotic manipulation and improves the robustness of existing systems. Building on this, I will introduce SAM2Act, a 3D generalist robotic model with a memory-centric architecture capable of performing high-precision manipulation tasks while retaining and reasoning over past observations. Finally, I will present MolmoAct, AI2’s flagship robotic foundation model for action reasoning, designed as a generalist system that can be post-trained for a wide range of downstream manipulation tasks. About the Speaker Jiafei Duan is a Ph.D. candidate in Computer Science & Engineering at the University of Washington, advised by Professors Dieter Fox and Ranjay Krishna. His research focuses on foundation models for robotics, with an emphasis on developing scalable data collection and generation methods, grounding vision-language models in robotic reasoning, and advancing robust generalization in robot learning. His work has been featured in MIT Technology Review, GreekWire, VentureBeat, and Business Wire. Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection In this talk, I will share our recent research efforts in visual industrial anomaly detection. It will present a comprehensive empirical analysis with a focus on real-world applications, demonstrating that recent SOTA methods perform worse than methods from 2021 when evaluated on a variety of datasets. We will also investigate how different practical aspects, such as input size, distribution shift, data contamination, and having a validation set, affect the results. About the Speaker Aimira Baitieva is a Research Engineer at Valeo, where she works primarily on computer vision problems. Her recent work has been focused on deep learning anomaly detection for automating visual inspection, incorporating both research and practical applications in the manufacturing sector. The Digital Reasoning Thread in Manufacturing: Orchestrating Vision, Simulation, and Robotics Manufacturing is entering a new phase where AI is no longer confined to isolated tasks like defect detection or predictive maintenance. Advances in reasoning AI, simulation, and robotics are converging to create end-to-end systems that can perceive, decide, and act – in both digital and physical environments. This talk introduces the Digital Reasoning Thread – a consistent layer of AI reasoning that runs through every stage of manufacturing, connecting visual intelligence, digital twins, simulation environments, and robotic execution. By linking perception with advanced reasoning and action, this approach enables faster, higher-quality decisions across the entire value chain. We will explore real-world examples of applying reasoning AI in industrial settings, combining simulation-driven analysis, orchestration frameworks, and the foundations needed for robotic execution in the physical world. Along the way, we will examine the key technical building blocks – from data pipelines and interoperability standards to agentic AI architectures – that make this level of integration possible. Attendees will gain a clear understanding of how to bridge AI-driven perception with simulation and robotics, and what it takes to move from isolated pilots to orchestrated, autonomous manufacturing systems. About the Speaker Vlad Larichev is an Industrial AI Lead at Accenture Industry X, specializing in applying AI, generative AI, and agentic AI to engineering, manufacturing, and large-scale industrial operations. With a background as an engineer, solution architect, and software developer, he has led AI initiatives across sectors including automotive, energy, and consumer goods, integrating advanced analytics, computer vision, and simulation into complex industrial environments. Vlad is the creator of the Digital Reasoning Thread – a framework for connecting AI reasoning across visual intelligence, simulation, and physical execution. He is an active public speaker, podcast host, and community builder, sharing practical insights on scaling AI from pilot projects to enterprise-wide adoption. The Road to Useful Robots This talk explores the current state of AI-enabled robots and the issues with deploying more advanced models on constrained hardware, including limited compute and power budgets. It then moves on to what's next for developing useful, intelligent robots. About the Speaker Michael Hart, also known as Mike Likes Robots. is a robotics software engineer and content creator. His mission is to share knowledge to accelerate robotics. @mikelikesrobots |
Sept 12 - Visual AI in Manufacturing and Robotics (Day 3)
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2-Day Hands-on Online Workshop: Azure AI Foundry and Copilot Studio Bootcamp
2025-05-29 · 14:00
2 Days Hands-On Online Workshop: Azure AI Foundry and Copilot Studio Bootcamp Date: 29-30 May 2025, 9 AM to 5 PM Central Time Level: Beginners/Intermediate Registration Link: https://www.eventbrite.com/e/hands-on-azure-ai-foundry-and-copilot-studio-bootcamp-tickets-1267311596099?aff=oddtdtcreator Who Should Attend? This hands-on workshop is open to developers, senior software engineers, IT pros, architects, IT managers, citizen developers, technology product managers, IT leaders, enterprise architects, chief analytics officers, chief information officers, chief technology officers, and decision-makers interested in learning how AI Agents and Generative AI can help infuse artificial intelligence into next-generation apps and agents. Experience with C#, Python, or JavaScript is helpful but not required. You don't need prior knowledge of AI either. Although this isn't a data & analytics-focused workshop, data scientists, data stewards, and technically-minded data protection officers will also find it very valuable Description: With ChatGPT and other large language models, generative AI has captured the attention of global consumers, enterprises, and C-suite executives. AI has a significant role in the enterprise space and is evolving rapidly. Without understanding the concepts behind these advanced technologies, developers and administrators might find it challenging to assess the true impact of emerging tools and solutions. An AI agent is a powerful companion capable of managing a variety of interactions and tasks—from handling complex conversations to autonomously deciding the best actions based on instructions and context. Agents coordinate language models along with instructions, context, knowledge sources, topics, actions, inputs, and triggers to achieve your desired outcomes. Copilot Studio is a graphical, low-code tool designed for creating agents, including building automations with Power Automate and extending Microsoft 365 Copilot with your own enterprise data and scenarios. One standout feature of Copilot Studio is its ability to connect to other data sources through either prebuilt or custom plugins, as well as integration with Azure AI Foundry. This flexibility allows users to easily build sophisticated logic, ensuring that agent experiences are both powerful and intuitive. Azure AI Foundry is a unified AI platform that includes the Azure AI Foundry portal (formerly Azure AI Studio) and the Azure AI Foundry SDK—a unified SDK featuring pre-built app templates. This SDK gives developers easy access to popular models through a single interface, simplifies the integration of Azure AI into applications, and helps evaluate, debug, and improve application quality and safety throughout development, testing, and production. In this two-day virtual hands-on workshop, Microsoft AI and Business Applications MVP and Microsoft Certified Trainer, Prashant G Bhoyar, will cover these topics in detail:
By the end of the workshop, you'll have practical experience building next-generation multimodal applications, Custom Copilots, and AI Agents using Copilot Studio and Azure AI Foundry. Workshop Resources: Access to Copilot Studio, Azure, and Azure OpenAI services (valued at USD 500) will be provided for hands-on labs, allowing you to build enterprise-grade multimodal applications and agents. However, you're encouraged to use your own Copilot Studio and Azure subscriptions if available. Attendee Workstation Requirements: You must bring your own computer (Windows or Mac) with:
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2-Day Hands-on Online Workshop: Azure AI Foundry and Copilot Studio Bootcamp
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GBA Public Webinar "Blockchain Injects Trust into Health Data"
2025-04-23 · 16:00
GBA Public Webinar "Blockchain Injects Trust & Assurance into Health Data, Analytics & Clinical AI" 12 noon EDT Wednesday, April 23rd as part of GBA's Healthcare & Life Sciences Monthly Webinar Series Government Blockchain Association's Healthcare & Life Science Month Public Webinar on "How Blockchain is Injecting Trust & Assurance into Health Data, Analytics & Clinical AI" April 23, Wednesday 12 noon to 1pm Join us for the Government Blockchain Association's (GBA) Healthcare & Life Sciences (HLS) Monthly Webinar Series, taking place the 4th Wednesday of every month from 12-1pm EST. Each month will deliver a deep-dive into a specific topic or theme being taken up by the HLS Working Group. Join the Webinar at https://us06web.zoom.us/webinar/register/WN_r8DP_2fMSqeFd2kg0MUksA or https://rb.gy/26ocq9. Clinical Squared Chief Executive Officer Marquis Allen will discuss Blockchain utility for Healthcare enterprise & government, blockchain identity opportunities and where AI projects that benefit from a blockchain layer. Heather Leigh Flannery Chair\, GBA HLS Working Group \| Host\, Monthly HLS Livestream Series· Government Blockchain Association Heather Leigh Flannery is an applied futurist, technologist, policy and patient advocate, and complex systems theorist. She co-founded AI MINDSystems Foundation in March 2024 with Chief Scientific Officer, Sean Manion, PhD, and other leaders with a timely vision for structural interventions for humanity's health, safety, prosperity, and privacy, and serves as CEO. Heather also Chairs the Healthcare & Life Sciences Working Group at the Government Blockchain Association (GBA) and the Washington, DC Chapter of AI 2030, and develops standards at IEEE. Marquis Allen Chief Executive Officer Clinical Squared As an IT professional for the past 20+ years, Marquis has had the great opportunity to work with many innovative organizations. When he transitioned into the clinical IT space, his fascination for the possibilities of what technology could do was piqued by learning about the complex problems that clinical practices face in leveraging technology to care for patients in the 21st century. Blockchain and AI took center stage, and form the foundations of differentiating value Clinical Squared is bringing the US Federal and state government and commercial clients. About GBA The Government Blockchain Association (GBA) is a nonprofit (501c6) organization committed to advancing blockchain technology standards, facilitating industry education, and ensuring a trusted, secure ecosystem for blockchain solutions. For more information, visit https://gbaglobal.org/. For more information contact Bob Miko, [email protected] 203 378 2803 -- Bob Miko GBA Director of Public Relations Editor in Chief/Producer Pacific Dialogue 203 378 2803 [email protected] |
GBA Public Webinar "Blockchain Injects Trust into Health Data"
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ClickHouse Delhi/Gurgaon Meetup - March 2025
2025-03-22 · 05:00
We are excited to finally have the first ClickHouse Meetup in the vibrant city of Delhi! Join the ClickHouse crew, from Singapore and from different cities in India, for an engaging day of talks, food, and discussion with your fellow database enthusiasts. But here's the deal: to secure your spot, make sure you register ASAP! 🗓️ Agenda:
If anyone from the community is interested in sharing a talk at future meetups, complete this CFP form and we’ll be in touch. _______ 🎤 Session Details: Introduction to ClickHouse Discover the secrets behind ClickHouse's unparalleled efficiency and performance. Johnny will give an overview of different use cases for which global companies are adopting this groundbreaking database to transform data storage and analytics. Speaker: Rakesh Puttaswamy, Solution Architect @ ClickHouse Rakesh Puttaswamy is a Solution Architect with ClickHouse, working with users across India, with over 12 years of experience in data architecture, big data, data science, and software engineering.Rakesh helps organizations design and implement cutting-edge data-driven solutions. With deep expertise in a broad range of databases and data warehousing technologies, he specializes in building scalable, innovative solutions to enable data transformation and drive business success. 🎤 Session Details: ClickPipes Overview and demo ClickPipes is a powerful integration engine that simplifies data ingestion at scale, making it as easy as a few clicks. With an intuitive onboarding process, setting up new ingestion pipelines takes just a few steps—select your data source, define the schema, and let ClickPipes handle the rest. Designed for continuous ingest, it automates pipeline management, ensuring seamless data flow without manual intervention. In this talk, Kunal will demo the Postgres CDC connector for ClickPipes, enabling seamless, native replication of Postgres data to ClickHouse Cloud in just a few clicks—no external tools needed for fast, cost-effective analytics. Speaker: Kunal Gupta, Sr. Software Engineer @ ClickHouse Kunal Gupta is a Senior Software Engineer at ClickHouse, joining through the acquisition of PeerDB in 2024, where he played a pivotal role as a founding engineer. With several years of experience in architecting scalable systems and real-time applications, Kunal has consistently driven innovation and technical excellence. Previously, he was a founding engineer for new solutions at ICICIdirect and at AsknBid Tech, leading high-impact teams and advancing code analysis, storage solutions, and enterprise software development. 🎤 Session Details: Optimizing Log Management with Clickhouse: Cost-Effective & Scalable Solutions Efficient log management is essential in today's cloud-native environments, yet traditional solutions like ElasticSearch often face scalability issues, high costs, and performance limitations. This talk will begin with an overview of common logging tools and their challenges, followed by an in-depth look at ClickHouse's architecture. We will compare ClickHouse with ElasticSearch, focusing on improvements in query performance, storage efficiency, and overall cost-effectiveness. A key highlight will be OLX India's migration to ClickHouse, detailing the motivations behind the shift, the migration strategy, key optimizations, and the resulting 50% reduction in log storage costs. By the end of this talk, attendees will gain a clear understanding of when and how to leverage ClickHouse for log management, along with best practices for optimizing performance and reducing operational costs. Speaker: Pushpender Kumar, DevOps Architect @ OLX India Born and raised in Bijnor, moved to Delhi to stay ahead in the race of life. Currently working as a DevOps Architect at OLX India, specializing in cloud infrastructure, Kubernetes, and automation with over 10 years of experience. Successfully optimized log storage costs by 50% using Clickhouse, bringing scalability and efficiency to large-scale logging systems. Passionate about cloud optimization, DevOps hiring, and performance engineering. 🎤 Session Details: ClickHouse at Physics Wallah: Empowering Real-Time Analytics at Scale This session explores how Physics Wallah revolutionized its real-time analytics capabilities by leveraging ClickHouse. We'll delve into the journey of implementing ClickHouse to efficiently handle large-scale data processing, optimize query performance, and power diverse use cases such as user activity tracking and engagement analysis. By enabling actionable insights and seamless decision-making, this transformation has significantly enhanced the learning experience for millions of users. Today, more than five customer-facing products at Physics Wallah are powered by ClickHouse, serving over 10 million students and parents, including 1.5 million Daily Active Users. Our in-house ClickHouse cluster, hosted and managed within our EKS infrastructure on AWS Cloud, ingests more than 10 million rows of data daily from various sources. Join us to learn about the architecture, challenges, and key strategies behind this scalable, high-performance analytics solution. Speaker: Utkarsh G. Srivastava, Software Development Engineer III @ Physics Wallah As a versatile Software Engineer with over 7 years of experience in the IT industry, I have had the privilege of taking on diverse roles, with a primary focus on backend development, data engineering, infrastructure, DevOps, and security. Throughout my career, I have played a pivotal role in transformative projects, consistently striving to craft innovative and effective solutions for customers in the SaaS space. 🎤 Session Details: FabFunnel & ClickHouse: Delivering Real-Time Marketing Analytics We are a performance marketing company that relies on real-time reporting to drive data-driven decisions and maximize campaign effectiveness. As our client base expanded, we encountered significant challenges with our reporting system—frequent data updates meant handling large datasets inefficiently, leading to slow query execution and delays in delivering insights. This bottleneck hindered our ability to provide timely optimizations for ad campaigns. To address these issues, we needed a solution that could handle rapid data ingestion and querying at scale without the overhead of traditional refresh processes. In this talk, we’ll share how we transformed our reporting infrastructure to achieve real-time insights, enhancing speed, scalability, and efficiency in managing large-scale ad performance data. Speakers: Anmol Jain, SDE-2 (Full stack Developer), & Siddhant Gaba, SDE-2 (Python) @ Idea Clan From competing as a national table tennis player to building high-performance software, Anmol Jain brings a unique mix of strategy and problem-solving to tech. With 3+ years of experience at Idea Clan, they play a key role in scaling Lookfinity and FabFunnel, managing multi-million-dollar ad spends every month. Specializing in ClickHouse, React.js, and Node.js, Anmol focuses on real-time data processing and scalable backend solutions. At this meet-up, they’ll share insights on solving reporting challenges and driving real-time decision-making in performance marketing. Siddhant Gaba is an SDE II at Idea Clan, with expertise in Python, Java, and C#, specializing in scalable backend systems. With four years of experience working with FastAPI, PostgreSQL, MongoDB, and ClickHouse, he focuses on real-time analytics, database optimization, and distributed systems. Passionate about high-performance computing, asynchronous APIs, and system design, he aims to advance real-time data processing. Outside of work, he enjoys playing volleyball. At this meetup, he will share insights on how ClickHouse transformed real-time reporting and scalability. 🎤 Session Details: From SQL to AI: Building Intelligent Applications with ClickHouse and LangDB As AI becomes a driving force behind innovation, building applications that seamlessly integrate AI capabilities with existing data infrastructures is critical. In this session, we explore the creation of agentic applications using ClickHouse and LangDB. We will introduce the concept of an AI gateway, explaining its role in connecting powerful AI models with the high-performance analytics engine of ClickHouse. By leveraging LangDB, we demonstrate how to directly interact with AI functions as User-Defined Functions (UDFs) in ClickHouse, enabling developers to design and execute complex AI workflows within SQL. Additionally, we will showcase how LangDB facilitates deep visibility into AI function behaviors and agent interactions, providing tools to analyze and optimize the performance of AI-driven logic. Finally, we will highlight how ClickHouse, powered by LangDB APIs, can be used to evaluate and refine the quality of LLM responses, ensuring reliable and efficient AI integrations. Speaker: Matteo Pelati, Co-founder, LangDB.ai Matteo Pelati is a seasoned software engineer with over two decades of experience, specializing in data engineering for the past ten years. He is the co-founder of LangDB, a company based in Singapore building the fastest Open Source AI Gateway. Before founding LangDB, he was part of the early team at DataRobot, where he contributed to scaling their product for enterprise clients. Subsequently, he joined DBS Bank where he built their data platform and team from the ground up. Prior to starting LangDB, Matteo led the data group for Asia Pacific and data engineering at Goldman Sachs. |
ClickHouse Delhi/Gurgaon Meetup - March 2025
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PyData Berlin 2025 March Meetup
2025-03-19 · 18:00
Welcome to the PyData Berlin March meetup! We would like to welcome you all starting from 18:45. There will be food and drinks. The talks begin around 19.30 and the doors will close at 19:30. Make sure to arrive on time! *** Important!! *** Please keep in mind that there is a BVG strike on this day, affecting U-Bahn, trams, and buses. S-Bahn and regional trains will work. Please provide your first and last name for the registration because this is required for the venue's entry policy. If you cannot attend, please cancel your spot so others are able to join as the space is limited. Host: Bonial is excited to welcome you to this month's version of PyData. ************************************************************************** The Lineup for the evening Talk 1: Extract structured product & deal information from PDFs on scale via LLM Abstract: Bonial shows hundreds of thousands of offers from local brick-and-mortar retailers on its platform, a subset of this content is retrieved from PDF files. In this talk I’ll explain how we leverage LLM to parse unstructured PDF files to create content on our platform. Speaker: Philipp Johannis has been part of Bonial for 12 years. He established and leads the Data Department, which consists of multiple Analytics, Engineering & Data Science teams, and is currently serving as Head of Data. He focuses on improving the data platform and enabling and supporting the development of various data driven products such as personalisation and traffic management. Talk 2: Airweave, an Open-Source Tool To Turn Any App Into Accessible Agent Knowledge Abstract: The talk will be an introduction to Airweave, which is an open-source Python tool that helps agent developers turn app data into accessible knowledge for AI agents. It connects to any app, database, URL, or API and structures the data for retrieval. Airweave automates authentication, ingestion, enrichment, mapping, and syncing to vector stores and graph databases of choice. It has a search layer for agents out-of-the-box and allows extension of the platform with minimal code. Developers can use Airweave via our web UI, REST API, or SDKs. Speakers: Lennert Jansen and Rauf Akdemir are the creators of Airweave AI. Lennert is an AI Engineer & Researcher with a background in Applied Statistics and Deep Learning for NLP. Before Airweave, he worked on AI & Bayesian Statistics at Amazon, IBM, and the University of Amsterdam. Rauf is a CS graduate from Technical University of Delft, with strong engineering experience in productionising ML & data infrastructure in both start-ups and enterprise. Lightning talks There will be slots for 2-3 Lightning Talks (3-5 Minutes for each). Kindly let us know if you would like to present something at the start of the meetup :) *** NumFOCUS Code of Conduct THE SHORT VERSION Be kind to others. Do not insult or put down others. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate for NumFOCUS. All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery are not appropriate. NumFOCUS is dedicated to providing a harassment-free community for everyone, regardless of gender, sexual orientation, gender identity, and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of community members in any form. Thank you for helping make this a welcoming, friendly community for all. If you haven't yet, please read the detailed version here: https://numfocus.org/code-of-conduct *** |
PyData Berlin 2025 March Meetup
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AI and Deep Learning for Enterprise #12
2023-12-06 · 18:30
Live stream link - https://meet.google.com/ock-yrcg-ebk Join us at the Daemon Paddington Clubhouse Wednesday December 6th for an evening of talks, food, and conversation with ML and AI industry pros. Agenda 06:30pm - Doors open, food and drink served 07:00pm - Welcome 07:15pm - Damien Jade Duff, Daemon & Jenny Vega, AWS "Integrating Huggingface TGI and the latest Sagemaker features for fast, cheap, and generic inference and chat" 07:55pm - Break 08:10pm - Ben Linden & Jordan Plamer, Datasparq "Dynamic Allocated Seat Pricing Using Reinforcement Learning" 8:40pm - Lawrence Knight, Head of Health Data Science Vitality "What you need to know if you want to think about AGI" 8:50pm - Daniel DeBurgo, Daemon "Blog automation with ChatGPT" 09:00pm - Wrap up, drinks at The Bear Our hosts require that we provide a list of all attendees, please ensure that you use your real name on your Meetup account otherwise you may be unable sign in at the venue. **Due to unforeseen circumstances, we are unable to provide a live stream or recording of this Meetup** Please RSVP for the event well in advance if you plan to attend in person and unRSVP if you can no longer attend as limited spaces are available. |
AI and Deep Learning for Enterprise #12
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We are excited for the third session of virtual solution drives for New to AWS customers at the AWS NYC meet-up channel. The virtual event will take place on Thursday, Sept 7th, between 4:00 and 5:00 PM EST. Generative AI is creating entirely new customer experiences, driving unprecedented levels of productivity, and transforming your business. Amazon CodeWhisperer is an AI coding companion that generates fully functional code suggestions in your IDE to help you get more done faster. CodeWhisperer is trained on billions of lines of code and can generate code suggestions ranging from snippets to full functions in real time based on your comments and existing code. Bypass time-consuming coding tasks and accelerate building with unfamiliar APIs. Join and experience a fun way of learning Amazon CodeWhisperer with a live demo, and participate in the trivia to receive Uber Eats gift cards. Agenda
SpeakersAbhishek Srivastav is a Sr. Solutions Architect and NoSQL evangelist with 15+ years in designing core analytical systems for enterprises. He is holding all 12 AWS certifications. Kandarp Thakar is a Sr Business Development lead for Builder Experience services. Kandarp has 10+ years of industry experience in various role as SDE, Product Management and currently working as a specialist to build and lead various go-to-market activities and strategies. Qualen 'Q' Bradley is an Enterprise Account Executive at AWS. He has a deep well of experience with helping Enterprise customers across various verticals accelerate business growth and innovation by leveraging AWS services and architectural best practices. |
Amazon CodeWhisperer: Build apps faster and secure with your AI coding companion
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AI and Deep Learning for Enterprise #7
2023-07-12 · 17:30
Join us in Mayfair on Wednesday 12th July at the office of our hosts Shape for an evening of talks, food, and conversation with ML and AI industry pros. If you can't join us in person you can watch remotely via Google Meet or alternatively watch the recording on our YouTube channel (typically available within 48hrs of the event). Please RSVP for the event well in advance if you plan to attend in person and unRSVP if you can no longer attend as limited spaces are available. Agenda 06:30pm - Doors open, food and drink served 07:00pm - Welcome 07:05pm - Vinay Kumar Sankarpu, Arya.ai “How to design ML Observability for high-risk AI use cases” 07:45pm - Break 08:00pm - John Wyllie and Matt Simmons, Datasparq “Solving large-scale vehicle routing by Datasparq“ 08:40pm - Namit Chada, Shape, “Shape: AI meets Databases” 09:00pm - Wrap up This event will be broadcast live via Google Meet, more details below Artificial Intelligence and Deep Learning for Enterprise #7 @ Shape Wednesday, 12 July · 7:00 – 9:00pm Time zone: Europe/London Google Meet joining info Video call link: meet.google.com/uuy-sofy-wer |
AI and Deep Learning for Enterprise #7
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