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Send us a text Deep Diving into the future of AI:

Join Dr. Sean Falconer — AI Entrepreneur in Residence at Confluent, software engineering leader, and developer relations expert — for a deep dive into the future of AI, data streaming, and what it really means to build at the edge of innovation. From managing multiple LLMs to testing autonomous agents and sharing his bold contrarian takes, Sean helps us simplify the complexity of today's tech. 📌 Timestamps  04:38 – Meet Sean Falconer 11:11 – Lifelong Learning 12:31 – AI Entrepreneur in Residence 16:28 – Multiple LLMs in Action 21:07 – The Tech Behind Confluent 25:51 – Why Sean Chose Confluent 28:40 – Invest or Short? 36:58 – Testing Agents IRL 40:51 – The Contrarian AI Take 42:27 – Looking Ahead: The Future of AI🔗 Connect with Sean: LinkedInSubstackMedium

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

To access this webinar, please register here: https://hubs.li/Q021Rn6z0

Topic: “Unlocking the Power of Knowledge Graphs for Generative AI in Enterprise Environments”

Speaker: Sean Martin, CTO & Co–Founder of Cambridge Semantics Sean's experience covers multiple aspects of starting and growing a software company, including holding various titles from President through to co-lead dish washer. He continues in a leadership role as CTO and serves on the board.

Abstract: Join us for an insightful exploration of how Knowledge Graphs are revolutionizing the way enterprises harness the capabilities of Generative AI.

Webinar Highlights: - Understand the rapid rise and significance of Generative AI in the data sphere. - Discover the challenges and risks associated with implementing Generative AI in enterprise settings. - Learn how Knowledge Graphs serve as a foundational technology to address these challenges. - Explore how Knowledge Graphs enable accurate responses to natural language queries and ensure data provenance. - Dive into legal considerations\, access controls\, and data privacy in the context of Generative AI. - Get practical insights on implementing Knowledge Graphs for Generative AI with real-world case studies. - Engage in a Q&A session with experts in the field.

Why Attend? In less than a year, Generative AI has transformed from a niche technology to a sought-after capability across industries. However, unlocking its potential in enterprise environments requires addressing critical concerns related to accuracy, privacy, and legality. This webinar will equip you with the knowledge and strategies to make Generative AI a success within your organization.

Who Should Attend: - Data Scientists - AI Enthusiasts - Business Leaders - IT Professionals - Decision-makers

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q01_Yrgb0 • Code of conduct: https://odsc.com/code-of-conduct/

To access this webinar, please register here: https://hubs.li/Q021Rn6z0

Topic: “Unlocking the Power of Knowledge Graphs for Generative AI in Enterprise Environments”

Speaker: Sean Martin, CTO & Co–Founder of Cambridge Semantics Sean's experience covers multiple aspects of starting and growing a software company, including holding various titles from President through to co-lead dish washer. He continues in a leadership role as CTO and serves on the board.

Abstract: Join us for an insightful exploration of how Knowledge Graphs are revolutionizing the way enterprises harness the capabilities of Generative AI.

Webinar Highlights: - Understand the rapid rise and significance of Generative AI in the data sphere. - Discover the challenges and risks associated with implementing Generative AI in enterprise settings. - Learn how Knowledge Graphs serve as a foundational technology to address these challenges. - Explore how Knowledge Graphs enable accurate responses to natural language queries and ensure data provenance. - Dive into legal considerations\, access controls\, and data privacy in the context of Generative AI. - Get practical insights on implementing Knowledge Graphs for Generative AI with real-world case studies. - Engage in a Q&A session with experts in the field.

Why Attend? In less than a year, Generative AI has transformed from a niche technology to a sought-after capability across industries. However, unlocking its potential in enterprise environments requires addressing critical concerns related to accuracy, privacy, and legality. This webinar will equip you with the knowledge and strategies to make Generative AI a success within your organization.

Who Should Attend: - Data Scientists - AI Enthusiasts - Business Leaders - IT Professionals - Decision-makers

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q01_Yrgb0 • Code of conduct: https://odsc.com/code-of-conduct/

To access this webinar, please register here: https://hubs.li/Q021Rn6z0

Topic: “Unlocking the Power of Knowledge Graphs for Generative AI in Enterprise Environments”

Speaker: Sean Martin, CTO & Co–Founder of Cambridge Semantics Sean's experience covers multiple aspects of starting and growing a software company, including holding various titles from President through to co-lead dish washer. He continues in a leadership role as CTO and serves on the board.

Abstract: Join us for an insightful exploration of how Knowledge Graphs are revolutionizing the way enterprises harness the capabilities of Generative AI.

Webinar Highlights: - Understand the rapid rise and significance of Generative AI in the data sphere. - Discover the challenges and risks associated with implementing Generative AI in enterprise settings. - Learn how Knowledge Graphs serve as a foundational technology to address these challenges. - Explore how Knowledge Graphs enable accurate responses to natural language queries and ensure data provenance. - Dive into legal considerations\, access controls\, and data privacy in the context of Generative AI. - Get practical insights on implementing Knowledge Graphs for Generative AI with real-world case studies. - Engage in a Q&A session with experts in the field.

Why Attend? In less than a year, Generative AI has transformed from a niche technology to a sought-after capability across industries. However, unlocking its potential in enterprise environments requires addressing critical concerns related to accuracy, privacy, and legality. This webinar will equip you with the knowledge and strategies to make Generative AI a success within your organization.

Who Should Attend: - Data Scientists - AI Enthusiasts - Business Leaders - IT Professionals - Decision-makers

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q01_Yrgb0 • Code of conduct: https://odsc.com/code-of-conduct/

Send us a text Starting a business that merges technology and medicine: Sean Bozorgzad, CEO Potentia, will make medical rooms near you more efficient via historical patterns, current events, futures, and virtual predictions.

Show Notes 02:45 Sean = medicine + tech10:04 Starting Potentia Analytics16:58 Potentia real-time insights19:04 HIPAA and use cases23:02 How it all works30:36 Knowledge is power37:04 And pandemic impact?39:15 Command center43:20 Potentia clients45:22 Competitors47:07 Using digital twins48:44 Potentia's future50:08 Finally, for funLinkedin: https://www.linkedin.com/in/sean-bozorgzad-357ab047/ Website: https://www.potentiaco.com/

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Businesses manage data to understand the connections between their customers, products or services, features, markets, and anything else that affects the business. With a knowledge graph, you can represent these connections directly to analyze and understand the compound relationships that drive business innovation. This report introduces knowledge graphs and examines their ability to weave business data and business knowledge into an architecture known as a data fabric . Authors Sean Martin, Ben Szekely, and Dean Allemang explain graph data and knowledge representation and demonstrate the value of combining these two things in a knowledge graph. You'll learn how knowledge graphs enable an enterprise-scale data fabric and discover what to expect in the near future as this technology evolves. This report also examines the evolution of databases, data integration, and data analysis to help you understand how the industry reached this point. Learn how graph technology enables you to represent knowledge and link it to data Understand how graph technology emphasizes the connected nature of data Use a data fabric to support other data-intensive tasks, including machine learning and data analysis Examine how a data fabric supports intense data-driven business initiatives more robustly than a simple database or data architecture

Send us a text How did companies like Facebook and Airbnb get so big so fast? What can we learn from them? Why is data so important for growth? Nancy Hensley, Director of Strategy & Growth for IBM Hybrid Cloud, has the answers in this episode of Making Data Simple. Learn how you can use growth hacking strategies to build your business and why growth hacking isn't just for startups. Show Notes 00:25 Connect with Al Martin on Twitter (@amartin_v) and LinkedIn (linkedin.com/in/al-martin-ku) 00:36 Connect with Nancy Hensley on Twitter (@nancykoppdw) and LinkedIn (linkedin.com/in/nancyhensley) 03:30 Explore The Growth Hacker: The next VP of Marketing by Andrew Chen here: http://bit.ly/104Xa0r  03:55 Read Hacking Growth by Sean Ellis & Morgan Brown here: http://growthhacker.com/ 04:55 Visit the Jagermeister website for more information on their company and product: https://www.jagermeister.com/en-CA (must be legal age) 22:15 Find Hooked: How to Build Habit-Forming Products by Nir Eyal here: http://amzn.to/2geOTlp 31:50 Find Rework by Jason Fried here: http://amzn.to/2xIU08B Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.