Podcasts about senzing

GraphBI: Expanding Analytics to All Data Through the Combination of GenAI, Graph, & Visual Analytics // MLOps Podcast #310 with Paco Nathan, Principal DevRel Engineer at Senzing & Weidong Yang, CEO of Kineviz.Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractExisting BI and big data solutions depend largely on structured data, which makes up only about 20% of all available information, leaving the vast majority untapped. In this talk, we introduce GraphBI, which aims to address this challenge by combining GenAI, graph technology, and visual analytics to unlock the full potential of enterprise data.Recent technologies like RAG (Retrieval-Augmented Generation) and GraphRAG leverage GenAI for tasks such as summarization and Q&A, but they often function as black boxes, making verification challenging. In contrast, GraphBI uses GenAI for data pre-processing—converting unstructured data into a graph-based format—enabling a transparent, step-by-step analytics process that ensures reliability.We will walk through the GraphBI workflow, exploring best practices and challenges in each step of the process: managing both structured and unstructured data, data pre-processing with GenAI, iterative analytics using a BI-focused graph grammar, and final insight presentation. This approach uniquely surfaces business insights by effectively incorporating all types of data.// BioPaco NathanPaco Nathan is a "player/coach" who excels in data science, machine learning, and natural language, with 40 years of industry experience. He leads DevRel for the Entity Resolved Knowledge Graph practice area at Senzing.com and advises Argilla.io, Kurve.ai, KungFu.ai, and DataSpartan.co.uk, and is lead committer for the pytextrank​ and kglab​ open source projects. Formerly: Director of Learning Group at O'Reilly Media; and Director of Community Evangelism at Databricks.Weidong YangWeidong Yang, Ph.D., is the founder and CEO of Kineviz, a San Francisco-based company that develops interactive visual analytics based solutions to address complex big data problems. His expertise spans Physics, Computer Science and Performing Art, with significant contributions to the semiconductor industry and quantum dot research at UC, Berkeley and Silicon Valley. Yang also leads Kinetech Arts, a 501(c) non-profit blending dance, science, and technology. An eloquent public speaker and performer, he holds 11 US patents, including the groundbreaking Diffraction-based Overlay technology, vital for sub-10-nm semiconductor production.// Related LinksWebsite: https://www.kineviz.com/Blog: https://medium.com/kinevizWebsite: https://derwen.ai/pacohttps://huggingface.co/pacoidhttps://github.com/ceterihttps://neo4j.com/developer-blog/entity-resolved-knowledge-graphs/~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Weidong on LinkedIn: /yangweidong/Connect with Paco on LinkedIn: /ceteri/

Connect to John Gilroy on LinkedIn   https://www.linkedin.com/in/john-gilroy/ Want to listen to other episodes? www.Federaltechpodcast.com It is a challenge for most technology companies to give a three-word summary of what they do, especially with the complexity implied with the phrase “entity resolution.” The CEO of Senzing, Jeff Jonas, gives a three-word summary of the complex issues they manage --  “bad guy hunting.”  OK, what does this mean to federal tech leaders? Today, we sit down with Will Layton to learn how a topic like “entity resolution” can improve federal cybersecurity. During the interview, he gives an overview of how federal systems have evolved over the years and the need to understand the implications of automation. We know federal systems are, in general, moving to the cloud. This may be a private cloud, a public cloud, or even a hybrid cloud. Second, data ingestion has overwhelmed most agencies.  As a result, many large-scale organizations are implementing automated tools, some call “agents” to become more efficient. Will Layton describes how humans need to be identified an automated tool, or entities, need to establish credentials as well. When a malicious actor tries to present like an entity in a complex automated system, Senzing can identify it and save federal leaders from unwanted actio

In this insightful episode of Hotel Moment, Bryson Koehler, CEO of Revinate, sits down with Jeff Jonas, CEO and Founder of Senzing. Jeff shares his extensive expertise in data management, entity resolution, and AI — discussing how these technologies are reshaping the hospitality industry. Tune in to discover how effective data management can drive more meaningful guest interactions and learn about the future of hospitality through the lens of decision intelligence.

Enterprise Knowledge COO Joe Hilger speaks with Jeff Jonas, Founder and CEO of Senzing. Senzing is a powerful and easy-to-use entity resolution API designed for developers. Senzing software enables organizations of all sizes to gain highly accurate and valuable insights about who is who and who is related to whom in data.  In this episode, Joe and Jeff discuss the power of conversational search, the rise of large language models, and future of entity resolution. To learn more about Enterprise Knowledge, visit us at: ⁠⁠⁠⁠enterprise-knowledge.com⁠⁠⁠⁠. EK's Knowledge Base: ⁠⁠⁠⁠https://enterprise-knowledge.com/knowledge-base/⁠⁠⁠⁠ Contact Us: ⁠⁠⁠⁠https://enterprise-knowledge.com/contact-us/⁠⁠⁠⁠ LinkedIn: ⁠⁠⁠⁠https://www.linkedin.com/company/enterprise-knowledge-llc/⁠⁠⁠⁠ Twitter/X: ⁠⁠⁠⁠https://twitter.com/ekconsulting⁠⁠⁠

The AI heard 'round the world has put the machine intelligence sector back in the spotlight. But when you squint beyond the press hype, the data shows that artificial intelligence is now the number one sector in terms of relative spending velocity in the ETR taxonomy. Normally market hype leads deployments, but the data suggests that spending activity and market penetration for AI are coinciding with the hype. While hyperscale cloud players are reaping the rewards, we think this is a rising tide that's going to lift all AI ships, those both plainly in sight and others that may not be so visible.In this Breaking Analysis we dig deeper into the AI space with spending data from ETR and one of the best minds in tech generally, and AI specifically, Jeff Jonas, CEO, founder, and chief scientist at Senzing.

Jeff Jonas is Founder and CEO of Senzing, a startup focused on democratizing entity resolution – making this deceptively complicated task easy for programmers to use and deploy.Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Stitcher • Google • AntennaPod • Podcast Addict • Amazon •  RSS.Detailed show notes can be found on The Data Exchange web site.

Entity resolution.Is it a single source of truth? Is it multiple sources of truth? Is it multiple data sources that refer to the same real-world thing?How do we make sense of it? How can we harness the value of data through entity resolution? Talk to Jeff Jonas from Senzing on this week's episode of Catalog & Cocktails and you'll understand.Key Takeaways[00:33 - 05:14] Episode intro & cheers[05:20 - 06:53] What is something you thought to be true in life that ended up being false?[06:58 - 08:15] Why don't we realize entity resolution if it is everywhere?[08:18 - 09:55] Tech stacks and tools for entity resolution[10:01 - 11:55] Record matching, link detection, fuzzy matching, and duplication[12:14 - 14:12] Master Data Management as the old school approach versus modern technology and its limits[14:18 - 18:38] Entity resolution is for the elite[18:48 - 21:11] Commoditizing entity resolution to the equivalent of a spell checker[21:14 - 25:41] Principles and Guidelines[25:51 - 28:48] The number of principles should fit on a single screen[28:50 - 33:03] Different levels of abstractions, and thinking about what kinds of things can solve similar problems[33:09 - 35:25] How does metadata tie into entity resolution?[35:32 - 40:45] Ontologies, semantics, and mapping[40:54 - 42:10] Thousands of transactions per second[42:14 - 46:23] You shouldn't have to tinker with any settings to be effective[46:28 - 47:44] ChatGPT[51:54 - 56:17] Takeaways[56:21 - 59:40] Three Final Questions

The truth isn't always black and white. Sometimes, it requires more context and background when attributed to different scenarios and situations.The same can be said about your data and whether a “single version of the truth” can be properly applied to multiple use cases for your business.In this episode, Malcolm interviews Jeff Jonas, the Founder, and CEO of Senzing — a software company on the leading edge of developing “entity resolution” solutions — which solve the growing challenge of uniquely identifying people or objects across multiple systems of duplicate, low-quality data. Malcolm and Jeff discuss how advances in technology are fueling more modern forms of entity resolution, where companies are now able to implement more context-centric approaches to complex matching, particularly within their master data management (MDM) programs. As technical as “entity resolution” may sound, the two uncover the global effect this technology has on people each day — including the job of the Chief Data Officer (CDO). Also known as “disambiguation” or “fuzzy matching,” effective entity resolution allows software systems or data stewards to decipher whether records for Richard Smith and Dick Smith may represent the same person, even when it is not overtly suggested by the data.Jeff describes how entity resolution sits as a foundational component of data within MDM, customer relationship management (CRM), know your customer (KYC), supply chain and every other major business process that relies on accurate, trustworthy data. Jeff correctly notes that aside from horrible customer experiences that may arise from a lack of effective entity resolution, “it creates a lot of waste for companies to think you are two or three people instead of one.” Citing a person's example of having their name represented three distinct times in a hotel loyalty club database, he emphasizes the toxicity that comes with a lack of focus on entity resolution for companies who are trying to be both customer and data-centric. While many companies — particularly those already investing in AI/ML — may be attracted to implementing DIY solutions for entity resolution, Jeff notes that it's “super expensive to build”, especially given the complexity and diversity of data, and even language itself. The ability to understand meaning across objects, cultures, languages and even alphabets is at the core of reliable entity resolution and building bespoke solutions for tackling these complex problems — at scale — is beyond the capabilities or budgets of an overwhelming number of companies. When considering a “single version of the truth”, Malcolm unpacks the 30-year history of large, monolithic enterprise resource planning (ERP) suites that created the mindset of master data only living in a singular place within the organization. Thanks to the democratization of IT, the “single version” mindset is shifting both as a practicality and as a business need. Today, master data can be sourced from a single location while supporting multiple versions of truth based on the use case of that data. In talking about the evolution of large-scale entity resolution, its use in MDM to enable multiple versions of the truth and the legacy requirement to have data stewards manually review records, Jeff notes, “There are definitely times…when you want a human to take a look and make an adjudication. But, I will tell you, in large-scale systems, you don't have enough humans.”Rather than adding more people into data stewardship roles to support higher confidence matching, Jeff advocates the approach of widening the pool of data used by entity resolution processes — beyond just name and address — to make match decisions, including the possible use of third-party data sources. The last few minutes of the conversation go deep into AI/ML, and how these new technologies are used to augment human data stewardship processes. Jeff makes a great case to suggest that most stewardship tasks could be mostly automated, but that many companies are unable to duplicate pure human judgment. Throughout the conversation, Jeff and Malcolm take extremely complex technical issues and make them digestible and relatable to CDOs — consistently refocusing on how using entity resolution is critical to establish truth in an organization, especially when using MDM systems to manage said truth. CDOs who want to have more informed conversations with their technical staff about the role of entity resolution going beyond just “fuzzy matching” will find this episode of CDO Matters highly insightful. Key Moments[3:42] Entity Resolution Defined[7:50] The Impact of Poor Data Quality[11:23] The Death of the ‘Single Version of the Truth'[15:45] Entity Resolution Failures[24:03] Understanding Unique Entities[26:13] The Cost of Being Wrong[29:10] Human Intervention vs. Trust in the Algorithm[32:05] Gaining New Insights with MDM[35:09] Valuing Human Judgment [40:03] The Future of Entity Resolution in Digital TransformationKey Takeaways What Is Entity Resolution? (1:58)“Entity resolution is recognizing when two things are the same…it's [also] called ‘fuzzy record matching', ‘link detection', ‘disambiguation', ‘match/merge' and lots of names. It's been congealing into this term ‘entity resolution' and is being more used. And really, the definition that I would have for it is recognizing when two identities are the same despite being described as different.” — Jeff JonasThe Cost and Complexity of Efficient Entity Resolution (5:15)“This problem [with poor entity resolution] is ubiquitous, and it turns out, is super expensive to build. People think you can hire a little team and do some AI/ML and think you are going to match well. And I am telling you, you cannot create something competitive in five years for twenty million.” — Jeff JonasIs the ‘Single Version of the Truth' Dead in 2023? (13:07)“There are still many people saying you need a single version of the truth…At an operational level [within a company], there are multiple versions of the truth. The way a marketer would define a customer is different than the way somebody in finance may define a customer, particularly B2B, where one would be a ‘sell to' and the other is a ‘bill to,' and they are both correct. A lot of people still think that is what MDM is, and it can be that if you want it to be that, but it doesn't have to be.” — Malcolm HawkerWorking with Multiple Versions of the Truth (14:12)“I think the ‘single version of the truth'…those are the dark ages, the dark days. The truth is you really want systems that can present truth to the eye of the beholder. It's about who the recipient is. But there are two forms of truth: One is about separating ‘who is who?' from which attribute is the best attribute…and how many entities does the organization have? Do you really want marketing to have a different [data] account than finance?” — Jeff JonasHuman vs. Software: The Role of Human Judgment (29:38)“There are definitely times/cases in data when you want a human to take a look and make an adjudication. But I will tell you, in large-scale systems, you don't have enough humans. Second, I will tell you, ‘How does the human do it?' The human is using additional data. It's either data stuck in their head or they're searching it up somewhere…but a lot of times, you have to actually do research…so making these decisions on records with some human intervention is about adding data. And one of the things that we propose is that there are kinds of data that is the initial data needed.” — Jeff JonasAbout Jeff JonasJeff Jonas is not only the CEO and Founder of Senzing but also the Chief Scientist. Since 2016, the organization has provided fast and easy API for accurate data matching. For more than 30 years in the field, he has been at the forefront of solving big data problems for both companies and governments. National Geographic recognized Jeff for his talents in the data space, referring to him as the “Wizard of Big Data.”EPISODE LINKS & RESOURCES:Follow Malcolm Hawker on LinkedInFollow Jeff Jonas on LinkedInVisit Senzing's websiteLearn more about ‘entity resolution'View a PDF of Jeff's publication, Privacy by Design in the Age of Big Data

We're going B2B (back to Boston) for Season 5, Episode 7 of the #B2BMX podcast! Today, you're getting exclusive access to #B2BSMX's CMO Panel, where a series of industry hard-hitters provided actionable insights into achieving C-suite status, including the obstacles they encountered and how they overcame them.Led by Sangram Vajre, the panelists — Shawn Herring, Head of Marketing for PandaDoc; Deanna Ransom, Head of Marketing at Senzing and former CMO of Televerde; and Gaurav Bhatia, CMO at PenFed Credit Union — discussed everything from their journeys to their current roles to the best ways of establishing respect amongst colleagues. Specifically, the panel touches upon:  How to break through VP- and Director-level roles to hit the C-suite;  The qualities attributed to “good” and “bad” CMOs; The importance of being flexible and holding open conversations about your goals; How to build credibility without becoming a “yes person” to get to your desired outcome; and Much more! Plus, as an added bonus, #B2BMX podcast listeners can receive 50% off their ticket to the in-person B2BMX event in February by using the code B2BMXPOD to register now.RELATED LINKS·       Register for the B2B Marketing Exchange in Scottsdale, Ariz.·       Listen to Season 5, Episode 6

Becoming a CMO is a success in itself; but retaining the role is another success entirely. To better understand why, we speak with a panel to share personal experience and what it's really like to be a CMO.Shawn Herring, VP of Marketing at PandaDoc, Deanna Ransom, Head Of Global Marketing at Senzing, Inc., and Gaurav Bhatia, Chief Marketing Officer at PenFed Credit Union, join the panel to discuss the CMO position and some hidden truths that could help you make a more informed decision if you're pursuing the role. What you'll hear:Breaking through the ceiling to get promoted What makes a good CMO versus a bad oneWhere CMOs spend the majority of their timeAudience Q&AThis is a #FlipMyFunnel podcast. Check us out on Apple Podcasts, Spotify, or here.Listening on a desktop & can't see the links? Just search for Flip My Funnel in your favorite podcast player.

We've all been given a second chance at some point in our lives. But, workplaces aren't always so forgiving. Televerde is looking to change that — attracting, training, and developing previously incarcerated women for the workforce. Deanna Ransom, Head Of Global Marketing at Senzing, Inc., discusses how Televerde is helping give women cutting-edge work experience and why more companies should emulate the strategy.What you'll hear:Televerde's training & employment strategy explainedRemoving the stigma of incarcerationCreating diversity in the workforceUsing marketing to create brand authenticityThis is a #FlipMyFunnel podcast. Check us out on Apple Podcasts, Spotify, or here.Listening on a desktop & can't see the links? Just search for Flip My Funnel in your favorite podcast player.

Facebook claims to have 2.7 billion monthly active users. But how many of them are actually ‘synthetic’ (aka fake) profiles? In this episode, we are joined by Jeff Jonas, wizard of big data and founder and CEO of Senzing. Jeff has spent his life dedicated to one thing – entity resolution. The art and science of disambiguating entities. He talks about the intricacies of entity resolution and how it detects people running around with multiple identities. He deep dives into privacy issues surrounding his line of work. And a topic that is extremely relevant in today’s climate: how he’s helped in resolving voter registration duplicates in past US elections. He also talks about the concept of ‘data finds data’ and the way it shapes the algorithms used in Senzing’s AI.

A lot of effort goes into identifying who we are almost from the very moment we're born. Birth certificates, passports, fingerprints, now facial recognition. So why does it still feel like companies don't know us? Why do they send the same offer several times? Shouldn't it be easy for CRMs to get it right? Well, it can be if you cleanse your data using entity resolution software. In this episode of the Georgian Impact Podcast, Jon Prial talks with Jeff Jonas, CEO of Senzing. Jeff has worked in the area of entity resolution for almost 35 years. Over that time he's worked with casinos, government agencies, and enterprises.  You'll hear about:  Why entity resolution is a harder problem than you'd imagine How it can be used to detect financial and voter fraud and identify terrorists Why privacy by design is core to Senzing's thinking  Who is Jeff Jonas? Jeff Jonas is an acclaimed data scientist and CEO of Senzing. He is at the forefront of solving some of the world's most complex business and big data problems for government and companies. A former IBM fellow, Jonas is the leading creator of entity resolution systems. National Geographic recognized him as the Wizard of Big Data. Today, many organizations rely on his systems to extract useful intelligence from tsunamis of data.   A three-time entrepreneur, Jonas sold his last company to IBM in 2005.    

This podcast interview focuses on the power of entity resolution, and how this powerful technology has the ability to give any organization a competitive advantage. My guest is Jeff Jonas, Founder and CEO of Senzing.Jeff Jonas is an acclaimed data scientist. He is at the forefront of solving some of the world’s most complex business and big data problems for governments and organizations in a variety of industries. A former IBM fellow, Jeff is the leading creator of entity resolution systems. National Geographic recognized him as the Wizard of Big Data, and today numerous organizations rely on his systems to extract useful intelligence from tsunamis of data.He has tackled many high-profile challenges, including identifying potential terrorists, detecting fraudulent behavior in casinos, connecting loved ones after a natural disaster, and modernizing voter registration systems. Jeff is a three-time entrepreneur and sold his last company to IBM in 2005. Jonas is a highly sought-after speaker. He regularly meets with government leaders, industry executives and think tanks around the globe about innovation, national security and privacy.In 2016, Jonas founded Senzing, based on a one-of-a-kind IBM spinout of the G2 technology. His team and patent portfolio – and was founded on the vision to revolutionize and democratize entity resolution. The story behind Senzing inspired me, hence I invited Jeff to my podcast. In the podcast, we explore the power behind entity resolution as the fuel to create the most advanced fraud detection, scoring, recommendation or intelligence systems. We also address the need to democratize this type of technology, so that it can be of benefit to anyone anywhere. And last but not least, we address what’s required to create solutions that people want to tell others about. Here are some of Jeff’s notable quotes:“I became particularly focused, well really obsessed, with this thing called entity resolution, which is technology that figures out when two people are the same.It's a hard problem for folks, and when you can solve that well, you can solve all kinds of problems and create all kinds of competitive advantage.But if you look at these solutions, they primarily require experts to make them operate. They're pretty darn expensive, the good stuff’s at least a million.So, the big idea is to democratize that.Not just to help the big elite organizations understand who-is-who in their data, but what about the small nonprofit who just got duplicates in their Christmas mailing list? What about them?That's the big idea.If you can take 10 x out of the complexity of getting it going, then why not take 10 x out of the price? So, when you change simplicity that much, and you change cost that much, it opens the door to being able to democratize something.”During this interview, we hope you’ll learn these three things:Why you should sometimes bite the bullet to make the hard parts work in order to create real shifts in valueThat with today’s technology there’s a multitude of opportunities to democratize capabilities that up to now were only available to the elite What the ingredients are to create the solutions that turn customers into evangelists See acast.com/privacy for privacy and opt-out information.

In this episode of the Data Show, I spoke with Jeff Jonas, CEO, founder and chief scientist of Senzing, a startup focused on making real-time entity resolution technologies broadly accessible. He was previously a fellow and chief scientist of context computing at IBM. Entity resolution (ER) refers to techniques and tools for identifying and linking […]

Michael Willette, assistant vice president and technical fellow at USAA, comes on Making Data Simple to discuss database methods in the finance industry. Michael has an extensive, technical background as an architect and senior programmer. He shares his journey, current view on the market, emerging technologies, and more. Listen to gain some key industry insight. 959982------------------------Shownotes00:00 - Check us out on YouTube and SoundCloud!00:10 - Connect with producer Steve Moore on LinkedIn and Twitter00:15 - Connect with producer Liam Seston on LinkedIn and Twitter00:20 - Connect with producer Rachit Sharma on LinkedIn 00:25 - Connect with host Al Martin on LinkedIn and Twitter01:00 - Connect with guest Michael Willette on LinkedIn02:25 - What is user architecture? 03:32 - The HiPPO principle. 08:42 - Learn more about USAA.13:20 - The benefits of USAA.29:39 - What is IBM Global Elite?32:15 - The importance of listening to your clients.

Michael Willette, assistant vice president and technical fellow at USAA, comes on Making Data Simple to discuss database methods in the finance industry. Michael has an extensive, technical background as an architect and senior programmer. He shares his journey, current view on the market, emerging technologies, and more. Listen to gain some key industry insight. 959982------------------------Shownotes00:00 - Check us out on YouTube and SoundCloud!00:10 - Connect with producer Steve Moore on LinkedIn and Twitter00:15 - Connect with producer Liam Seston on LinkedIn and Twitter00:20 - Connect with producer Rachit Sharma on LinkedIn 00:25 - Connect with host Al Martin on LinkedIn and Twitter01:00 - Connect with guest Michael Willette on LinkedIn02:25 - What is user architecture? 03:32 - The HiPPO principle. 08:42 - Learn more about USAA.13:20 - The benefits of USAA.29:39 - What is IBM Global Elite?32:15 - The importance of listening to your clients.

Happy holidays from the Making Data Simple team! Enjoy a rebroadcast of a conversation with Seth Dobrin, Vice President and Chief Data Officer for IBM Analytics, as he and Al explore the strategies and people your company needs to disrupt and succeed in the year ahead. Do you or your team members need new credentials to work in data? Seth also discusses what you need in your toolkit to be a data scientist at IBM.Show Notes00.30 Connect with Al Martin on Twitter and LinkedIn.01.00 Connect with Seth Dobrin on Twitter and LinkedIn.01.40 Read "What IBM looks for in a Data Scientist" by Seth Dobrin and Jean-Francois Puget.06.00 Learn more about GDPR. 13.00 Learn more about master data management.13.05 Learn more about unified governance and integration. 13.25 Learn more about machine learning. 14.00 Connect and learn more about Ginni Rometty. 14.40 Learn more about cognitive computing.19.35 Connect with Rob Thomas on Twitter and LinkedIn.21.00 Connect with Jean-Francois Puget on Twitter and LinkedIn.Follow @IBMAnalytics

Happy holidays from the Making Data Simple team! Enjoy a rebroadcast of a conversation with Seth Dobrin, Vice President and Chief Data Officer for IBM Analytics, as he and Al explore the strategies and people your company needs to disrupt and succeed in the year ahead. Do you or your team members need new credentials to work in data? Seth also discusses what you need in your toolkit to be a data scientist at IBM.Show Notes00.30 Connect with Al Martin on Twitter and LinkedIn.01.00 Connect with Seth Dobrin on Twitter and LinkedIn.01.40 Read "What IBM looks for in a Data Scientist" by Seth Dobrin and Jean-Francois Puget.06.00 Learn more about GDPR. 13.00 Learn more about master data management.13.05 Learn more about unified governance and integration. 13.25 Learn more about machine learning. 14.00 Connect and learn more about Ginni Rometty. 14.40 Learn more about cognitive computing.19.35 Connect with Rob Thomas on Twitter and LinkedIn.21.00 Connect with Jean-Francois Puget on Twitter and LinkedIn.Follow @IBMAnalytics

In the latest episode of "Making Data Simple," host Al Martin invites Jeff Jonas, CEO, founder and chief scientist at Senzing Inc. to discuss use cases of AI and big data. The discussion ranges from Jeff's personal achievements, his miraculous quadriplegic recovery, his completion of every global Ironman triathlon race, and the birth of his company Senzing Inc. Suit up for what is truly an engaging conversation. Show notes00:00 - Checkout our YouTube channel. 00:10 - Connect with producer Liam Seston on LinkedIn and Twitter.00:15 - Connect with producer Steve Moore on LinkedIn and Twitter.00:24 - Connect with host Al Martin on LinkedIn and Twitter.01:28 - Connect with guest Jeff Jonas on LinkedIn and Twitter.02:08 - Not sure what the difference between a triathlon and an Ironman triathlon is?02:28 - Here's how NORA and other security software applications are being employed in Las Vegas.13:22 - Here's an interesting article about parent/child naming conventions.16:26 - Check out Jeff's keynote at IBM Think 2018.18:55 - Check out these 6 other brands with the "try then buy" sales method.23:30 - Try out Senzing for yourself at senzing.com.27:41 - Get an inside look at what it's like to live in a hotel, full-time.31:49 - Need to brush up on Context Computing? Jeff Jonas explains it here.33:12 - Check out these 10 Ironman triathlon facts.

In the latest episode of "Making Data Simple," host Al Martin invites Jeff Jonas, CEO, founder and chief scientist at Senzing Inc. to discuss use cases of AI and big data. The discussion ranges from Jeff's personal achievements, his miraculous quadriplegic recovery, his completion of every global Ironman triathlon race, and the birth of his company Senzing Inc. Suit up for what is truly an engaging conversation. Show notes00:00 - Checkout our YouTube channel. 00:10 - Connect with producer Liam Seston on LinkedIn and Twitter.00:15 - Connect with producer Steve Moore on LinkedIn and Twitter.00:24 - Connect with host Al Martin on LinkedIn and Twitter.01:28 - Connect with guest Jeff Jonas on LinkedIn and Twitter.02:08 - Not sure what the difference between a triathlon and an Ironman triathlon is?02:28 - Here's how NORA and other security software applications are being employed in Las Vegas.13:22 - Here's an interesting article about parent/child naming conventions.16:26 - Check out Jeff's keynote at IBM Think 2018.18:55 - Check out these 6 other brands with the "try then buy" sales method.23:30 - Try out Senzing for yourself at senzing.com.27:41 - Get an inside look at what it's like to live in a hotel, full-time.31:49 - Need to brush up on Context Computing? Jeff Jonas explains it here.33:12 - Check out these 10 Ironman triathlon facts.

This week on DisrupTV, we interviewed Jeff Jonas, Founder and CEO at Senzing, Ajay Arora, CEO and Co-founder at Vera, and Steve Wilson, VP and Principal Analyst at Constellation Research. DisrupTV is a weekly Web series with hosts R “Ray” Wang and Vala Afshar. The show airs live at 11:00 a.m. PT/ 2:00 p.m. ET every Friday. Brought to you by Constellation Executive Network: constellationr.com/CEN.

Jeff Jonas is a data Scientist, Former IBM Fellow, Serial Entrepreneur, Founder and Chief Scientist at Stealth startup, Senzing. Jeff is also one of four people to have completed every single Ironman Triathlon in the world. In today’s episode, he talks about his life and how he attacks seemingly impossible challenges step by step. Enjoy. GO TO LIMITLESSGRIT.COM FOR SHOW NOTES Books Recommended by Jeff: 1. The art of war by Sun Tzu 2. One Man’s view of the World byLee Kuan Yew Connect with Jeff: Twitter: @jeffjonas Website: jeffjonas.typepad.com Connect with Shristi: instagram: @shristigajurel