talk-data.com

Topic: Building an AI-Ready Data Stack: Integrating Lakehouse and Catalog for Unified Intelligence

Description: In todays AI-driven world, data fragmentation is the biggest barrier to building intelligent systems. Join VeloDB and Datastrato for an in-depth session on how modern data architectures are evolving to support unified, AI-ready analytics.

In this session, Rayner Chen (VP of Engineering, VeloDB) will explore how catalogs break down data silos and enable truly unified analytics across lakehouse environmentssharing best practices for integrating structured and streaming data into a single, high-performance stack. Then, Jerry Shao (Co-founder & CTO, Datastrato) will dive into the role of metadata catalogs as context, showing how rich metadata and governance frameworks can power and control the next generation of AI applications.

Whether youre building large-scale analytics platforms or preparing your organization for AI, this session will give you the architectural insights and practical frameworks to build a cohesive, AI-ready data stack.

• Breaking Data Silos with Catalogs: How to Build Unified Analytics (Speaker: Rayner Chen, VP of Engineering@VeloDB)
• Catalogs as Context: Using metadata to power and govern the next wave of AI development (Speaker: Jerry Shao, Co-founder and CTO@Datastrato)

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Developed by industry experts, and hiring managers, and highly recognized by our hiring partners,WeCloudDatas learning paths have helped many students make successful transitions into data and DevOps roles that fit their backgrounds and passions.WeCloudData provides a different and more practical teaching methodology, so that students not only learn the technical skills but also acquire the soft skills that will make them stand out in a work environment.

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Combining LLMs with enterprise knowledge bases is creating powerful new agents that can transform business operations. These systems are dramatically improving on traditional chatbots by understanding context, following conversations naturally, and accessing up-to-date information. But how do you effectively manage the knowledge that powers these agents? What governance structures need to be in place before deployment? And as we look toward a future with physical AI and robotics, what fundamental computing challenges must we solve to ensure these technologies enhance rather than complicate our lives? Jun Qian is an accomplished technology leader with extensive experience in artificial intelligence and machine learning. Currently serving as Vice President of Generative AI Services at Oracle since May 2020, Jun founded and leads the Engineering and Science group, focusing on the creation and enhancement of Generative AI services and AI Agents. Previously held roles include Vice President of AI Science and Development at Oracle, Head of AI and Machine Learning at Sift, and Principal Group Engineering Manager at Microsoft, where Jun co-founded Microsoft Power Virtual Agents. Jun's career also includes significant contributions as the Founding Manager of Amazon Machine Learning at AWS and as a Principal Investigator at Verizon. In the episode, Richie and Jun explore the evolution of AI agents, the unique features of ChatGPT, the challenges and advancements in chatbot technology, the importance of data management and security in AI, and the future of AI in computing and robotics, and much more. Links Mentioned in the Show: OracleConnect with JunCourse: Introduction to AI AgentsJun at DataCamp RADARRelated Episode: A Framework for GenAI App and Agent Development with Jerry Liu, CEO at LlamaIndexRewatch 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

Due to unexpected circumstances, our “Exploring the risks and alternatives of ChatGPT: Paving a path to trustworthy AI” session scheduled for Thu, Oct 19, at 3:30-4:30 pm ET has been cancelled.

Note that this had been offered as a repeat session on Wed, Oct 18 at 8:00-9:00 am ET, and the Wed Oct 18 session will proceed as planned.

If you had registered for the Thu session, we encourage you to consider registering for the Wed session instead if you are available, and we hope to see you then. You can register for the Wed session at: https://www.meetup.com/technical-group-hosted-by-ibm/events/295930230/

=================================================================== Imagine making a smoothie with various ingredients, only for a friend to demand one specific ingredient back after blending. This analogy embodies the challenges faced when integrating data into AI models like ChatGPT. As AI's influence grows, particularly with tools like OpenAI’s ChatGPT, understanding potential risks becomes essential before direct enterprise adoption. In this talk, Jerry explores the risks of incorporating ChatGPT directly into business operations, emphasizing the importance of open alternatives and approaches for maintaining trustworthy AI solutions. Highlighting the evolution of AI tools, we recognize ChatGPT’s ability to harness the immense power of GPT-3 and GPT-4, catering to numerous AI applications. The world of AI chatbots is rapidly expanding, with Google's Bard and Meta's LLaMA2 as key competitors.

However, the adoption of ChatGPT directly into enterprises presents multifaceted risks. These range from potential security breaches, liability issues, intellectual property complexities, open-source license violations, to limitations on AI development. Such concerns emphasize the criticality of being vigilant with ChatGPT usage in businesses.

Exploring solutions to these concerns, Jerry demonstrates aspects of IBM's watsonx as an emerges as a viable contender. Its features — watsonx.data, watsonx.ai, and watsonx.governance — offer a transparent approach to data handling, much like retrieving that blended apple in our smoothie analogy. Watsonx’s collaboration with Hugging Face further solidifies its stand in offering trustworthy AI.

In conclusion, while AI’s potential is vast and ever-evolving, it is imperative to exercise caution. The balance between innovation and responsibility is delicate. By utilizing open and transparent AI tools, businesses can harness AI's power while ensuring data integrity, compliance, and trustworthiness. As the AI frontier expands, the emphasis must be on safe, responsible, and trustworthy AI adoption.

Presenter: Jerry Cuomo

Gennaro "Jerry" Cuomo (born 1962) is an American software engineer who has worked for IBM since 1987. Holding the title of IBM Fellow, Cuomo is known as one of the founding fathers of IBM WebSphere Software, a software framework and middleware that hosts Java-based web applications.

Cuomo has filed for over 50 US patents and has been cited over 3000 times. His most visible patent is the first use of the "Someone is typing..." indicator found in instant messaging applications (U.S. Patent 5,990,887). At IBM, Cuomo has led projects in the areas of: Blockchain, APIs, cloud computing, mobile computing, Internet of Things, web server performance & availability, web security, web caching, edge computing, service-oriented architecture and REST.

Cuomo is the co-author of the book, Blockchain for Business, that illustrates how blockchain technology is re-imagining many of the world's most fundamental business interactions and opening the door to new styles of digital interactions that have yet to be imagined. In March 2016 and 2018, Cuomo was called upon by the United States government as an expert witness to testify to US Energy and Commerce Committee on Digital Currency and Blockchain. During his 2016 testimony Cuomo urged the Obama administration to adopt Blockchain as a primary means to protect citizen identity and to enhance national security. His testimony can be seen on YouTube.

Cuomo is currently the VP of Technology within IBM's Consulting business unit, where he is driving the technical strategy for AI-powered automation. In 2022, he published two books titled Think Blockchain and The Art of Automation, both accompanied by podcasts of the same name.

Due to unexpected circumstances, our “Exploring the risks and alternatives of ChatGPT: Paving a path to trustworthy AI” session scheduled for Thu, Oct 19, at 3:30-4:30 pm ET has been cancelled.

Note that this had been offered as a repeat session on Wed, Oct 18 at 8:00-9:00 am ET, and the Wed Oct 18 session will proceed as planned.

If you had registered for the Thu session, we encourage you to consider registering for the Wed session instead if you are available, and we hope to see you then. You can register for the Wed session at: https://www.meetup.com/technical-group-hosted-by-ibm/events/295930230/

=================================================================== Imagine making a smoothie with various ingredients, only for a friend to demand one specific ingredient back after blending. This analogy embodies the challenges faced when integrating data into AI models like ChatGPT. As AI's influence grows, particularly with tools like OpenAI’s ChatGPT, understanding potential risks becomes essential before direct enterprise adoption. In this talk, Jerry explores the risks of incorporating ChatGPT directly into business operations, emphasizing the importance of open alternatives and approaches for maintaining trustworthy AI solutions. Highlighting the evolution of AI tools, we recognize ChatGPT’s ability to harness the immense power of GPT-3 and GPT-4, catering to numerous AI applications. The world of AI chatbots is rapidly expanding, with Google's Bard and Meta's LLaMA2 as key competitors.

However, the adoption of ChatGPT directly into enterprises presents multifaceted risks. These range from potential security breaches, liability issues, intellectual property complexities, open-source license violations, to limitations on AI development. Such concerns emphasize the criticality of being vigilant with ChatGPT usage in businesses.

Exploring solutions to these concerns, Jerry demonstrates aspects of IBM's watsonx as an emerges as a viable contender. Its features — watsonx.data, watsonx.ai, and watsonx.governance — offer a transparent approach to data handling, much like retrieving that blended apple in our smoothie analogy. Watsonx’s collaboration with Hugging Face further solidifies its stand in offering trustworthy AI.

In conclusion, while AI’s potential is vast and ever-evolving, it is imperative to exercise caution. The balance between innovation and responsibility is delicate. By utilizing open and transparent AI tools, businesses can harness AI's power while ensuring data integrity, compliance, and trustworthiness. As the AI frontier expands, the emphasis must be on safe, responsible, and trustworthy AI adoption.

Presenter: Jerry Cuomo

Gennaro "Jerry" Cuomo (born 1962) is an American software engineer who has worked for IBM since 1987. Holding the title of IBM Fellow, Cuomo is known as one of the founding fathers of IBM WebSphere Software, a software framework and middleware that hosts Java-based web applications.

Cuomo has filed for over 50 US patents and has been cited over 3000 times. His most visible patent is the first use of the "Someone is typing..." indicator found in instant messaging applications (U.S. Patent 5,990,887). At IBM, Cuomo has led projects in the areas of: Blockchain, APIs, cloud computing, mobile computing, Internet of Things, web server performance & availability, web security, web caching, edge computing, service-oriented architecture and REST.

Cuomo is the co-author of the book, Blockchain for Business, that illustrates how blockchain technology is re-imagining many of the world's most fundamental business interactions and opening the door to new styles of digital interactions that have yet to be imagined. In March 2016 and 2018, Cuomo was called upon by the United States government as an expert witness to testify to US Energy and Commerce Committee on Digital Currency and Blockchain. During his 2016 testimony Cuomo urged the Obama administration to adopt Blockchain as a primary means to protect citizen identity and to enhance national security. His testimony can be seen on YouTube.

Cuomo is currently the VP of Technology within IBM's Consulting business unit, where he is driving the technical strategy for AI-powered automation. In 2022, he published two books titled Think Blockchain and The Art of Automation, both accompanied by podcasts of the same name.

Topic repeated at 2 different times, please join the session that is best suited for your time zone. Imagine making a smoothie with various ingredients, only for a friend to demand one specific ingredient back after blending. This analogy embodies the challenges faced when integrating data into AI models like ChatGPT. As AI's influence grows, particularly with tools like OpenAI’s ChatGPT, understanding potential risks becomes essential before direct enterprise adoption. In this talk, Jerry explores the risks of incorporating ChatGPT directly into business operations, emphasizing the importance of open alternatives and approaches for maintaining trustworthy AI solutions. Highlighting the evolution of AI tools, we recognize ChatGPT’s ability to harness the immense power of GPT-3 and GPT-4, catering to numerous AI applications. The world of AI chatbots is rapidly expanding, with Google's Bard and Meta's LLaMA2 as key competitors.

However, the adoption of ChatGPT directly into enterprises presents multifaceted risks. These range from potential security breaches, liability issues, intellectual property complexities, open-source license violations, to limitations on AI development. Such concerns emphasize the criticality of being vigilant with ChatGPT usage in businesses.

Exploring solutions to these concerns, Jerry demonstrates aspects of IBM's watsonx as an emerges as a viable contender. Its features — watsonx.data, watsonx.ai, and watsonx.governance — offer a transparent approach to data handling, much like retrieving that blended apple in our smoothie analogy. Watsonx’s collaboration with Hugging Face further solidifies its stand in offering trustworthy AI.

In conclusion, while AI’s potential is vast and ever-evolving, it is imperative to exercise caution. The balance between innovation and responsibility is delicate. By utilizing open and transparent AI tools, businesses can harness AI's power while ensuring data integrity, compliance, and trustworthiness. As the AI frontier expands, the emphasis must be on safe, responsible, and trustworthy AI adoption.

Presenter: Jerry Cuomo

Gennaro "Jerry" Cuomo (born 1962) is an American software engineer who has worked for IBM since 1987. Holding the title of IBM Fellow, Cuomo is known as one of the founding fathers of IBM WebSphere Software, a software framework and middleware that hosts Java-based web applications.

Cuomo has filed for over 50 US patents and has been cited over 3000 times. His most visible patent is the first use of the "Someone is typing..." indicator found in instant messaging applications (U.S. Patent 5,990,887). At IBM, Cuomo has led projects in the areas of: Blockchain, APIs, cloud computing, mobile computing, Internet of Things, web server performance & availability, web security, web caching, edge computing, service-oriented architecture and REST.

Cuomo is the co-author of the book, Blockchain for Business, that illustrates how blockchain technology is re-imagining many of the world's most fundamental business interactions and opening the door to new styles of digital interactions that have yet to be imagined. In March 2016 and 2018, Cuomo was called upon by the United States government as an expert witness to testify to US Energy and Commerce Committee on Digital Currency and Blockchain. During his 2016 testimony Cuomo urged the Obama administration to adopt Blockchain as a primary means to protect citizen identity and to enhance national security. His testimony can be seen on YouTube.

Cuomo is currently the VP of Technology within IBM's Consulting business unit, where he is driving the technical strategy for AI-powered automation. In 2022, he published two books titled Think Blockchain and The Art of Automation, both accompanied by podcasts of the same name.

*** Please join us at the session that is best suited to your time zone. Note that this topic is: 1. Repeated at two different times to accommodate various time zones\, because it is 2. Posted simultaneously in multiple meetup groups world-wide *** It is recommended that you register at this Webex link ahead of time to receive a calendar invite and reminder. https://ibm.webex.com/weblink/register/r75b71087f3cb4225b2bc0c1ef33217ce

Topic repeated at 2 different times, please join the session that is best suited for your time zone. Imagine making a smoothie with various ingredients, only for a friend to demand one specific ingredient back after blending. This analogy embodies the challenges faced when integrating data into AI models like ChatGPT. As AI's influence grows, particularly with tools like OpenAI’s ChatGPT, understanding potential risks becomes essential before direct enterprise adoption. In this talk, Jerry explores the risks of incorporating ChatGPT directly into business operations, emphasizing the importance of open alternatives and approaches for maintaining trustworthy AI solutions. Highlighting the evolution of AI tools, we recognize ChatGPT’s ability to harness the immense power of GPT-3 and GPT-4, catering to numerous AI applications. The world of AI chatbots is rapidly expanding, with Google's Bard and Meta's LLaMA2 as key competitors.

However, the adoption of ChatGPT directly into enterprises presents multifaceted risks. These range from potential security breaches, liability issues, intellectual property complexities, open-source license violations, to limitations on AI development. Such concerns emphasize the criticality of being vigilant with ChatGPT usage in businesses.

Exploring solutions to these concerns, Jerry demonstrates aspects of IBM's watsonx as an emerges as a viable contender. Its features — watsonx.data, watsonx.ai, and watsonx.governance — offer a transparent approach to data handling, much like retrieving that blended apple in our smoothie analogy. Watsonx’s collaboration with Hugging Face further solidifies its stand in offering trustworthy AI.

In conclusion, while AI’s potential is vast and ever-evolving, it is imperative to exercise caution. The balance between innovation and responsibility is delicate. By utilizing open and transparent AI tools, businesses can harness AI's power while ensuring data integrity, compliance, and trustworthiness. As the AI frontier expands, the emphasis must be on safe, responsible, and trustworthy AI adoption.

Presenter: Jerry Cuomo

Gennaro "Jerry" Cuomo (born 1962) is an American software engineer who has worked for IBM since 1987. Holding the title of IBM Fellow, Cuomo is known as one of the founding fathers of IBM WebSphere Software, a software framework and middleware that hosts Java-based web applications.

Cuomo has filed for over 50 US patents and has been cited over 3000 times. His most visible patent is the first use of the "Someone is typing..." indicator found in instant messaging applications (U.S. Patent 5,990,887). At IBM, Cuomo has led projects in the areas of: Blockchain, APIs, cloud computing, mobile computing, Internet of Things, web server performance & availability, web security, web caching, edge computing, service-oriented architecture and REST.

Cuomo is the co-author of the book, Blockchain for Business, that illustrates how blockchain technology is re-imagining many of the world's most fundamental business interactions and opening the door to new styles of digital interactions that have yet to be imagined. In March 2016 and 2018, Cuomo was called upon by the United States government as an expert witness to testify to US Energy and Commerce Committee on Digital Currency and Blockchain. During his 2016 testimony Cuomo urged the Obama administration to adopt Blockchain as a primary means to protect citizen identity and to enhance national security. His testimony can be seen on YouTube.

Cuomo is currently the VP of Technology within IBM's Consulting business unit, where he is driving the technical strategy for AI-powered automation. In 2022, he published two books titled Think Blockchain and The Art of Automation, both accompanied by podcasts of the same name.

*** Please join us at the session that is best suited to your time zone. Note that this topic is: 1. Repeated at two different times to accommodate various time zones\, because it is 2. Posted simultaneously in multiple meetup groups world-wide *** It is recommended that you register at this Webex link ahead of time to receive a calendar invite and reminder. https://ibm.webex.com/weblink/register/r75b71087f3cb4225b2bc0c1ef33217ce

Topic repeated at 2 different times, please join the session that is best suited for your time zone. Imagine making a smoothie with various ingredients, only for a friend to demand one specific ingredient back after blending. This analogy embodies the challenges faced when integrating data into AI models like ChatGPT. As AI's influence grows, particularly with tools like OpenAI’s ChatGPT, understanding potential risks becomes essential before direct enterprise adoption. In this talk, Jerry explores the risks of incorporating ChatGPT directly into business operations, emphasizing the importance of open alternatives and approaches for maintaining trustworthy AI solutions. Highlighting the evolution of AI tools, we recognize ChatGPT’s ability to harness the immense power of GPT-3 and GPT-4, catering to numerous AI applications. The world of AI chatbots is rapidly expanding, with Google's Bard and Meta's LLaMA2 as key competitors.

However, the adoption of ChatGPT directly into enterprises presents multifaceted risks. These range from potential security breaches, liability issues, intellectual property complexities, open-source license violations, to limitations on AI development. Such concerns emphasize the criticality of being vigilant with ChatGPT usage in businesses.

Exploring solutions to these concerns, Jerry demonstrates aspects of IBM's watsonx as an emerges as a viable contender. Its features — watsonx.data, watsonx.ai, and watsonx.governance — offer a transparent approach to data handling, much like retrieving that blended apple in our smoothie analogy. Watsonx’s collaboration with Hugging Face further solidifies its stand in offering trustworthy AI.

In conclusion, while AI’s potential is vast and ever-evolving, it is imperative to exercise caution. The balance between innovation and responsibility is delicate. By utilizing open and transparent AI tools, businesses can harness AI's power while ensuring data integrity, compliance, and trustworthiness. As the AI frontier expands, the emphasis must be on safe, responsible, and trustworthy AI adoption.

Presenter: Jerry Cuomo

Gennaro "Jerry" Cuomo (born 1962) is an American software engineer who has worked for IBM since 1987. Holding the title of IBM Fellow, Cuomo is known as one of the founding fathers of IBM WebSphere Software, a software framework and middleware that hosts Java-based web applications.

Cuomo has filed for over 50 US patents and has been cited over 3000 times. His most visible patent is the first use of the "Someone is typing..." indicator found in instant messaging applications (U.S. Patent 5,990,887). At IBM, Cuomo has led projects in the areas of: Blockchain, APIs, cloud computing, mobile computing, Internet of Things, web server performance & availability, web security, web caching, edge computing, service-oriented architecture and REST.

Cuomo is the co-author of the book, Blockchain for Business, that illustrates how blockchain technology is re-imagining many of the world's most fundamental business interactions and opening the door to new styles of digital interactions that have yet to be imagined. In March 2016 and 2018, Cuomo was called upon by the United States government as an expert witness to testify to US Energy and Commerce Committee on Digital Currency and Blockchain. During his 2016 testimony Cuomo urged the Obama administration to adopt Blockchain as a primary means to protect citizen identity and to enhance national security. His testimony can be seen on YouTube.

Cuomo is currently the VP of Technology within IBM's Consulting business unit, where he is driving the technical strategy for AI-powered automation. In 2022, he published two books titled Think Blockchain and The Art of Automation, both accompanied by podcasts of the same name.

*** Please join us at the session that is best suited to your time zone. Note that this topic is: 1. Repeated at two different times to accommodate various time zones\, because it is 2. Posted simultaneously in multiple meetup groups world-wide *** It is recommended that you register at this Webex link ahead of time to receive a calendar invite and reminder. https://ibm.webex.com/weblink/register/r75b71087f3cb4225b2bc0c1ef33217ce

Time has become a precious commodity, so business leaders who can save their customers' time more effectively than competitors do will win their loyalty. This book shows how it's done. Business survival requires valuing what customers value—and in our overworked and distraction-rich era, customers value their time above all else. Real-time companies beat their rivals by being faster and more responsive in meeting customer needs. To become a real-time company, as top scholars Jerry Power and Tom Ferratt explain, you need a real-time monitoring and response system. They offer detailed advice on how to put procedures in place that will collect data on how well products or services are saving customer time; identify strengths, weaknesses, threats, and opportunities; and specify innovations needed to save even more customer time. Where should leaders look to innovate? Powers and Ferratt say to search every step in the life of a product or service, from development to production to usage. And for each step, they identify four possible levers for innovation: the design of the products or services themselves, the process used to produce them, the data that can be gathered on their use, and the people who make or provide the product or service. The book features dozens of examples of companies that are getting it right and the innovations they used to help their customers save time, all while helping themselves to a hefty slice of market share. This is a comprehensive, authoritative guide to thriving in a revolution that is sweeping every industry and sector.

In this episode of Data Skeptic, Kyle chats with Jerry Schwarz from the Independent Investigations Group (IIG)'s SF Bay Area chapter about testing claims of the paranormal. The IIG is a volunteer-based organization dedicated to investigating paranormal or extraordinary claim from a scientific viewpoint. The group, headquartered at the Center for Inquiry-Los Angeles in Hollywood, offers a $100,000 prize to anyone who can show, under proper observing conditions, evidence of any paranormal, supernatural, or occult power or event. CHICAGO Tues, May 15, 6pm. Come to our Data Skeptic meetup. CHICAGO Saturday, May 19, 10am. Kyle will be giving a talk at the Chicago AI, Data Science, and Blockchain Conference 2018.