talk-data.com

The promise of AI in enterprise settings is enormous, but so are the privacy and security challenges. How do you harness AI's capabilities while keeping sensitive data protected within your organization's boundaries? Private AI—using your own models, data, and infrastructure—offers a solution, but implementation isn't straightforward. What governance frameworks need to be in place? How do you evaluate non-deterministic AI systems? When should you build in-house versus leveraging cloud services? As data and software teams evolve in this new landscape, understanding the technical requirements and workflow changes is essential for organizations looking to maintain control over their AI destiny. Manasi Vartak is Chief AI Architect and VP of Product Management (AI Platform) at Cloudera. She is a product and AI leader with more than a decade of experience at the intersection of AI infrastructure, enterprise software, and go-to-market strategy. At Cloudera, she leads product and engineering teams building low-code and high-code generative AI platforms, driving the company’s enterprise AI strategy and enabling trusted AI adoption across global organizations. Before joining Cloudera through its acquisition of Verta, Manasi was the founder and CEO of Verta, where she transformed her MIT research into enterprise-ready ML infrastructure. She scaled the company to multi-million ARR, serving Fortune 500 clients in finance, insurance, and capital markets, and led the launch of enterprise MLOps and GenAI products used in mission-critical workloads. Manasi earned her PhD in Computer Science from MIT, where she pioneered model management systems such as ModelDB — foundational work that influenced the development of tools like MLflow. Earlier in her career, she held research and engineering roles at Twitter, Facebook, Google, and Microsoft. In the episode, Richie and Manasi explore AI's role in financial services, the challenges of AI adoption in enterprises, the importance of data governance, the evolving skills needed for AI development, the future of AI agents, and much more. Links Mentioned in the Show: ClouderaCloudera Evolve ConferenceCloudera Agent StudioConnect with ManasiCourse: Introduction to AI AgentsRelated Episode: RAG 2.0 and The New Era of RAG Agents with Douwe Kiela, CEO at Contextual AI & Adjunct Professor at Stanford UniversityRewatch RADAR AI  New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

Join us for a hands-on introduction to AI Agents, where you will learn to optimize task automation using generative AI. This session will demonstrate demonstrate concepts of GenerativeAI and how AI agents leverage foundation models to interpret complex requests, integrate with your APIs and data, and execute multistep workflows seamlessly.

🔑 Key highlights:

• Multi-agent Collaboration: Coordinate specialized agents under a supervisor to manage intricate processes.
• RAG Integration: Provide accurate, data-supported responses through retrieval-augmented generation.
• Configuration: Build and customize agents efficiently with straightforward instructions.

💡 Discover practical, real-world applications and gain the skills to transform workflows with AI-powered solutions that boost efficiency and elevate user experiences. Together, let us pave the way for intelligent automation. 🌟

This event features an interactive workshop—please bring your laptop if you wish to participate in the hands-on segment. Attendees should have some AWS experience to fully benefit from the hands-on workshop. Are you prepared to advance your organization’s AI capabilities? Mark your calendar for June 9, 2025!

High level schedule: 2:45 - 3:00: Arrivals 3:00 - 3:20: Presentation 3:20 - 4:20: Workshop 4:20 - 4:30: Wrap up and Q&A 4:30 - 5:00: Networking

Bio: Udaya Jaladi is a Solutions Architect at AWS specializing in FinTech ISV customers. With over 16 years of experience, he has extensive expertise in designing and implementing enterprise applications across Sales, Services, Financial, HR, and Payroll domains. In his current role, he partners with customers to provide strategic guidance on building well-architected, AI-powered solutions on AWS. Udaya has developed deep expertise in Generative AI and helps organizations leverage this transformative technology to drive business innovation and efficiency

Important instructions

• Event starts at 3:00 pm EST, but please allow at least 15 minutes for security to process registration
• Please ensure that your meetup profile has your full name. Both first and last name are required and we will not be able to register attendees with just abbreviations or incomplete names.
• There is an optional networking and Q&A event at the end of the meetup

Bring generative AI capabilities to your local environment with Google Distributed Cloud. Maintain data residency without compromising on latency.

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.

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.

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.

Join leading AWS partners Anyscale, Neo4j, and H2O as they provide both technical and business enablement on real-world Generative AI. There are 3 technical sessions and a business roundtable followed by networking and cocktails at the end of the day. Register here: https://lu.ma/qzvt3do8

​Agenda ​9 to 11AM: Neo4j Graph and Hybrid RAG in practice ​11 to 1PM: Anyscale GenAI technical enablement ​2 to 4PM: H2O technical enablement ​4 to 5PM: CTO business roundtable ​5 to 6PM: Networking

​Space is limited. 1st registered and qualified AWS customers have seating priority. For overflow the session will be broadcast in real-time including virtual Q&A.

Get ready to dive into the world of DevOps & Cloud tech! This session will help you navigate the complex world of Cloud and DevOps with confidence. This session is ideal for new grads, career changers, and anyone feeling overwhelmed by the buzz around DevOps. We'll break down its core concepts, demystify the jargon, and explore how DevOps is essential for success in the ever-changing technology landscape, particularly in the emerging era of generative AI. A basic understanding of software development concepts is helpful, but enthusiasm to learn is most important.

Vishakha is a Senior Cloud Architect at Google Cloud Platform with over 8 years of DevOps and Cloud experience. Prior to Google, she was a DevOps engineer at AWS and a Subject Matter Expert (SME) for the IaC offering CloudFormation in the NorthAm region. She has experience in diverse domains including Financial Services, Retail, and Online Media. She primarily focuses on Infrastructure Architecture, Design & Automation (IaC), Public Cloud (AWS, GCP), Kubernetes/CNCF tools, Infrastructure Security & Compliance, CI/CD & GitOps, and MLOPS.

Generative AI has transformed the financial services sector, sparking interest at all organizational levels. As AI becomes more accessible, professionals are exploring its potential to enhance their work. How can AI tools improve personalization and fraud detection? What efficiencies can be gained in product development and internal processes? These are the questions driving the adoption of AI as companies strive to innovate responsibly while maximizing value. Andrew serves as the Chief Data Officer for Mastercard, leading the organization’s data strategy and innovation efforts while navigating current and future data risks. Andrews's prior roles at Mastercard include Senior Vice President, Data Management, in which he was responsible for the quality, collection, and use of data for Mastercard’s information services and advisory business, and Mastercard’s Deputy Chief Privacy Officer, in which he was responsible for privacy and data protection issues globally for Mastercard. Andrew also spent many years as a Privacy & Intellectual Property Council advising direct marketing services, interactive advertising, and industrial chemicals industries. Andrew holds Juris Doctor from Columbia University School of Law and has his bachelor’s degree, cum laude, in Chemical Engineering from the University of Delaware. Andrew is a retired member of the State Bar of New York. In the episode, Adel and Andrew explore GenAI's transformative impact on financial services, the democratization of AI tools, efficiency gains in product development, the importance of AI governance and data quality, the cultural shifts and regulatory landscapes shaping AI's future, and much more. Links Mentioned in the Show: MastercardConnect with AndrewSkill Track: Artificial Intelligence (AI) LeadershipRelated Episode: How Generative AI is Changing Leadership with Christie Smith, Founder of the Humanity Institute and Kelly Monahan, Managing Director, Research InstituteSign up to attend RADAR: Skills Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

🚀 Microsoft DevConnect

💫 Overview Technology is advancing at breakneck speed, and those who stay ahead of the curve will shape the future. The low-code development market is surging, expected to reach $187 billion by 2030, proving that businesses are rapidly embracing faster, more efficient ways to build solutions. Meanwhile, Microsoft’s AI business now generates over $13 billion annually, with AI-powered tools like Copilot revolutionizing how we work and create. These aren’t just trends—they’re massive shifts redefining industries and opening new opportunities for those ready to embrace them.

Microsoft DevConnect—hosted by Microsoft Learn Student Ambassadors Nigeria and Microsoft Reactors—brings together students, developers, and professionals to explore the power of Cloud Computing, Artificial Intelligence (AI) & Copilot, Low-Code Development (Power Platform), .NET, and Software Engineering. This hybrid event is designed to equip you with practical skills and insights needed to build real-world solutions, boost productivity, and stay competitive.

📅 Event Schedule

09:45 AM - 10:00 AM - Kickoff & Opening Videos Get inspired with a curated selection of videos to set the tone for the event.

//10:00 AM - 10:10 AM - Welcome & Event Overview Kick off the day with a brief welcome and an overview of what to expect.

🎤 10:15 AM - 11:00 AM - The Foundations of Generative AI

Explore the fundamentals of generative AI, its core models, capabilities, and real-world applications. Learn how to integrate AI into your workflows using Azure OpenAI, Cognitive Services, and AI Builder while following best practices for responsible AI development 🗣 Speaker - Japhlet Nwamu

🎤11:05 AM - 11:35 AM - Panel Session with Microsoft FTEs

Join a dynamic discussion with Microsoft professionals on career growth, tech trends, and opportunities in AI, cloud computing, and software development. 👥 Speakers: Udokaku Ugochukwu, Oluwatobi Yusuf, Japhlet Nwamu

🎤11:40 AM - 12:00 PM - Lightning Talk - Open Payments Made Simple: No-Code Solutions and Open-Source Innovations

Discover how Open Payments is revolutionizing financial transactions and how no-code tools like Power Platform and open-source solutions such as Mojaloop and Interledger Protocol are driving financial inclusion. 🗣 Speaker - Hammed Babatunde

🎤12:05 PM - 12:25 PM - Lightning Talk - Build Smarter, Not Harder: AI & Low-Code Innovation with Power Platform

Learn how Power Platform + Copilot streamline app development, automate workflows, and enhance decision-making for faster, smarter solutions. 🗣 Speaker - Oluwatobi Yusuf

🎤12:30 PM - 01:15 PM - Breakout Session 1 - Telling a Good Story with Data

Master data storytelling with Python using Pandas, Matplotlib, Seaborn, and Plotly. Gain hands-on insights into data analysis and visualization with Jupyter Notebook in VS Code. 🗣 Speaker - Abayomi Abiodun

🎤01:20 PM - 02:05 PM - Breakout Session 2 - Bridging Language Gaps: Custom Translator for Nigerian Language with Azure AI

Learn how Azure AI’s Custom Translator helps preserve indigenous Nigerian languages, enabling seamless translation and digital accessibility. 🗣 Speaker - Salim Oyinlola

🎤02:05 PM - 02:50 PM - Breakout Session 3 - Automating Document Processing with Microsoft AI Builder

Discover how to automate document processing using AI Builder and Power Automate, extracting key data from invoices and streamlining workflows. 🗣 Speaker - Victoria Erogunaiye

🎤02:55 PM - 03:10 PM - Lightning Talk - The Art of GitHub Profile: Building Your Developer Brand

Transform your GitHub profile into a compelling portfolio that showcases your skills and attracts opportunities in the developer community. 🗣 Speaker - Imam Abubakar

🎤03:15 PM - 03:30 PM - Lightning Talk - Next Frontier: AI, Cloud, and Open Source in Developer Tools

Explore how AI-powered coding tools like GitHub Copilot, Azure cloud platforms, and open-source technologies are shaping the future of software development. 🗣 Speaker - Rasheed Mudasiru

🎮 03:30 PM - 04:00 PM - Games & Networking

💡 Don't miss this opportunity to learn from experts, gain hands-on experience, and connect with a community of like-minded tech enthusiasts!

Pre-requisites: Take part in this learning challenge that will prepare you for all you'll get to learn during the event -https://aka.ms/DevConnect_Learn

🌟 Session Overview 🌟

Session Name: Antonio Zarauz Moreno Speaker: Transforming Financial Services with Generative AI at Credicorp Session Description: The aim of this talk is to showcase recent advancements in Generative AI, including Retrieval-Augmented Generation (RAG) systems, hyper-personalized marketing campaigns through text and image generation, agent performance metrics, and speech analytics systems. This presentation will highlight the scalability, information safety, and tailored efficiency of these solutions, addressing the deployment challenges that have been overcome. Attendees will gain insights into the practical applications, ethical considerations, and best practices for integrating Generative AI into industrial applications.

🚀 About Big Data and RPA 2024 🚀

Unlock the future of innovation and automation at Big Data & RPA Conference Europe 2024! 🌟 This unique event brings together the brightest minds in big data, machine learning, AI, and robotic process automation to explore cutting-edge solutions and trends shaping the tech landscape. Perfect for data engineers, analysts, RPA developers, and business leaders, the conference offers dual insights into the power of data-driven strategies and intelligent automation. 🚀 Gain practical knowledge on topics like hyperautomation, AI integration, advanced analytics, and workflow optimization while networking with global experts. Don’t miss this exclusive opportunity to expand your expertise and revolutionize your processes—all from the comfort of your home! 📊🤖✨

📅 Yearly Conferences: Curious about the evolution of QA? Check out our archive of past Big Data & RPA sessions. Watch the strategies and technologies evolve in our videos! 🚀 🔗 Find Other Years' Videos: 2023 Big Data Conference Europe https://www.youtube.com/playlist?list=PLqYhGsQ9iSEpb_oyAsg67PhpbrkCC59_g 2022 Big Data Conference Europe Online https://www.youtube.com/playlist?list=PLqYhGsQ9iSEryAOjmvdiaXTfjCg5j3HhT 2021 Big Data Conference Europe Online https://www.youtube.com/playlist?list=PLqYhGsQ9iSEqHwbQoWEXEJALFLKVDRXiP

💡 Stay Connected & Updated 💡

Don’t miss out on any updates or upcoming event information from Big Data & RPA Conference Europe. Follow us on our social media channels and visit our website to stay in the loop!

🌐 Website: https://bigdataconference.eu/, https://rpaconference.eu/ 👤 Facebook: https://www.facebook.com/bigdataconf, https://www.facebook.com/rpaeurope/ 🐦 Twitter: @BigDataConfEU, @europe_rpa 🔗 LinkedIn: https://www.linkedin.com/company/73234449/admin/dashboard/, https://www.linkedin.com/company/75464753/admin/dashboard/ 🎥 YouTube: http://www.youtube.com/@DATAMINERLT

Join us for an in-depth webinar Trust over IP (ToIP) to explore how cryptographic proof can preserve authenticity online in the age of generative AI. As generative AI accelerates, it will become all but impossible to detect who and what is authentic online. The only solution is cryptographic proof: digital credentials that prove you are a real person, a real company, or that you have authored real content (sites, documents, photos, videos, etc.) The smartest AI in the world cannot fake such proofs. Trust Over IP (ToIP) has been laying the foundation to put that capability in the hands of every person, organization, and government using the Internet. This webinar will share the latest developments in the ToIP model for decentralized digital trust infrastructure, including the Trust Spanning Protocol (TSP), the Trust Registry Query Protocol (TRQP), and governance models for digital trust ecosystems. We will also dive into what this means for specific ecosystems such as financial services, CBDCs, workforces, and even nation states like Bhutan and Switzerland.

The webinar will take place on November 13 at 10AM PT/1 PM ET/7PM CET

You are welcome to register here: https://zoom.us/webinar/register/2417290227423/WN_SNCfevVlQximwuKelMCd2g

Join us for an in-depth webinar Trust over IP (ToIP) to explore how cryptographic proof can preserve authenticity online in the age of generative AI. As generative AI accelerates, it will become all but impossible to detect who and what is authentic online. The only solution is cryptographic proof: digital credentials that prove you are a real person, a real company, or that you have authored real content (sites, documents, photos, videos, etc.) The smartest AI in the world cannot fake such proofs. Trust Over IP (ToIP) has been laying the foundation to put that capability in the hands of every person, organization, and government using the Internet. This webinar will share the latest developments in the ToIP model for decentralized digital trust infrastructure, including the Trust Spanning Protocol (TSP), the Trust Registry Query Protocol (TRQP), and governance models for digital trust ecosystems. We will also dive into what this means for specific ecosystems such as financial services, CBDCs, workforces, and even nation states like Bhutan and Switzerland.

The webinar will take place on November 13 at 10AM PT/1 PM ET/7PM CET

You are welcome to register here: https://zoom.us/webinar/register/2417290227423/WN_SNCfevVlQximwuKelMCd2g

Join us for an in-depth webinar Trust over IP (ToIP) to explore how cryptographic proof can preserve authenticity online in the age of generative AI. As generative AI accelerates, it will become all but impossible to detect who and what is authentic online. The only solution is cryptographic proof: digital credentials that prove you are a real person, a real company, or that you have authored real content (sites, documents, photos, videos, etc.) The smartest AI in the world cannot fake such proofs. Trust Over IP (ToIP) has been laying the foundation to put that capability in the hands of every person, organization, and government using the Internet. This webinar will share the latest developments in the ToIP model for decentralized digital trust infrastructure, including the Trust Spanning Protocol (TSP), the Trust Registry Query Protocol (TRQP), and governance models for digital trust ecosystems. We will also dive into what this means for specific ecosystems such as financial services, CBDCs, workforces, and even nation states like Bhutan and Switzerland.

The webinar will take place on November 13 at 10AM PT/1 PM ET/7PM CET

You are welcome to register here: https://zoom.us/webinar/register/2417290227423/WN_SNCfevVlQximwuKelMCd2g

Join us for an in-depth webinar Trust over IP (ToIP) to explore how cryptographic proof can preserve authenticity online in the age of generative AI. As generative AI accelerates, it will become all but impossible to detect who and what is authentic online. The only solution is cryptographic proof: digital credentials that prove you are a real person, a real company, or that you have authored real content (sites, documents, photos, videos, etc.) The smartest AI in the world cannot fake such proofs. Trust Over IP (ToIP) has been laying the foundation to put that capability in the hands of every person, organization, and government using the Internet. This webinar will share the latest developments in the ToIP model for decentralized digital trust infrastructure, including the Trust Spanning Protocol (TSP), the Trust Registry Query Protocol (TRQP), and governance models for digital trust ecosystems. We will also dive into what this means for specific ecosystems such as financial services, CBDCs, workforces, and even nation states like Bhutan and Switzerland.

The webinar will take place on November 13 at 10AM PT/1 PM ET/7PM CET

You are welcome to register here: https://zoom.us/webinar/register/2417290227423/WN_SNCfevVlQximwuKelMCd2g

PyData Ireland in collaboration with AI Product Melting Pot invites you for an exciting session on Generative AI Agent Frameworks!

Whether you're a curious SWE, an innovative designer, or a forward-thinking entrepreneur, this event is your gateway to understanding the transformative power of Agentic AI.

Discover how you can leverage frameworks to rethink automating complex tasks, and opening new frontiers in problem-solving.

Brief Agenda:- 1. Introduction to Generative AI Agents 2. Deep Dive: Architecture and Capabilities 3. Interactive Workshop: Designing an AI Agent 🔥 Bring your curiosity 🔥

Session Description: In the rapidly evolving landscape of artificial intelligence, Generative AI Agent Frameworks are emerging as a transformative force, reshaping our approach to complex problem-solving and task automation. As we move towards more interconnected and data-driven societies, these intelligent agents will play crucial roles in:

• Enhancing decision-making processes by analyzing vast amounts of data and providing actionable insights.
• Automating complex workflows, freeing human resources for more creative and strategic tasks.
• Personalizing user experiences across digital platforms, from e-commerce to entertainment.

This session offers a comprehensive exploration of these different techniques such as (Hierarchical, Supervision, Mixture of experts) and further reflection techniques (Reflexion, Plan & Execute, ReWoo) providing attendees framework and practical insights that they can take leverage in their projects.

The event begins with an introduction to Generative AI Agents, establishing a foundation for understanding their potential and current applications. This is followed by a deep dive into the architecture and capabilities of these frameworks, offering attendees a nuanced comprehension of the underlying technologies.

Speaker Details: Shiv Rajappa, Product Management and Design Shiv has a background as a computer science engineer, he has experience working in consulting across a wide range of sectors including Technology, Financial Services and Healthcare. He is passionate about building customer centric product and service experience at the intersection of Product & AI.

Get the most out of the AWS NY Summit!

Join Neo4J and AWS to discover what's new in Financial Services and a 1-hour hands on lab for Neo4j and generative AI with Amazon Bedrock. ​Neo4j’s is a market leading graph technology platform that’s been used for a variety of industry use cases including Fraud Detection, Anti-Money Laundering, Customer Journey/Experience/360, Regulatory Compliance, Portfolio Management, and Data Lineage. Neo4j gives developers and data scientists the most trusted and advanced tools to quickly build today’s intelligent applications and GenAI/machine learning workflows. Join us to discover how to deploy Neo4j and implement Financial Services workloads on AWS.

​Join Neo4j and AWS to discover...

• ​3:30 - Check in and networking
• ​4:00 - Neo4j Overview
• ​4:30 - Amazon Bedrock and Neo4j Demonstration
• ​5:30 - Cocktails and 1-on-1 with the experts

​Attendance is limited. Click here to register: https://lu.ma/8b2ynth0

Join us for a Amazon Q Meetup at the AWS NYC office in Bryant Park, on May 29, from 5:30 to 7:30 PM EST and see how generative AI tools can help make your life easier and help build. This event is part 4 of a series of 4, however the content for each of the events is designed to be standalone. You do not need to attend all 4 events and can attend any one event individually or in parts.

Talk: Build AI Powered Enterprise Applications with Amazon Q Business Amazon Q Business is your enterprise expert - it's a secure assistant that enables users to answer questions quickly and accurately with natural language interactions. You can easily chat, generate content, and discover new insights, with everything uniquely informed by your particular systems and data. In this session, we will show you how to get started with Amazon Q Business. We will explore a few of the 40 data source connectors for Amazon Q Business and show how you can quickly build Generative AI powered chat applications for your business.

Speakers:

• Perry Beaumont Perry is a Senior Product Manager with AWS, and previously served as the Chief Data Scientist for a global P&C firm. Perry has a doctorate in economics, he is an AWS Educate and CloudWhisperer Ambassador, and he occasionally lectures on Generative AI topics at the Data Science Institute of Columbia University and at Yale University. He is also the author of four books on data science applications in business.
• Udaya Jaladi Udaya is a Solutions Architect at AWS working with FinTech ISV customers. He has 16+ years of experience in designing and building applications for Sales, Services, Financial, HR, and Payroll organizations. Udaya works closely with customers, providing strategic guidance to build well-architected business applications on AWS. Additionally, he focuses on GenAI and Cloud Governance areas.

Important instructions

• Event starts at 5:45 pm EST, but please allow at least 15 minutes for security to process registration
• Please ensure that your meetup profile has your full name. Both first and last name are required and we will not be able to register attendees with just abbreviations or incomplete names.
• There are two entrances tot he building, one on 38th st and one on 39th st. If you enter through 38th street, please follow the hallway to proceed to the reception in the front of the building where you can get registered
• There is an optional networking and Q&A event at the event of the meetup