Podcasts about conexus

New developments in agriculture technology are one of the exciting parts of Canada's Farm Show and taking part in revealing a new cohort of business accelerator companies at the show is Cultivator powered by Conexus, including both Canadian and UK companies focused on using new technology to address agriculture concerns. Laura Mock, director of Cultivator, and Jill Sharko, with Ag Grow Consulting, join Evan to talk more about the announcement today.

In this episode of Alter Everything, we sit down with Eric Daimler, CEO and co-founder of Conexus, and the first AI advisor to the White House under President Obama. Eric explores how AI-driven data consolidation is transforming industries, the critical role of neuro-symbolic AI, and the evolving landscape of AI regulation. He shares insights on AI's impact across sectors like healthcare and defense, highlighting the importance of inclusive discussions on AI safety and governance. Discover how responsible AI implementation can drive innovation while ensuring ethical considerations remain at the forefront.Panelists:Eric Daimler, Chair, CEO & Co-Founder @ Conexus - LinkedInMegan Bowers, Sr. Content Manager @ Alteryx - @MeganBowers, LinkedInShow notes:SB 1047: Safe and Secure Innovation for Frontier Artificial Intelligence Models Act.Neuro-symbolic AIUber Data Consolidation Interested in sharing your feedback with the Alter Everything team? Take our feedback survey here!This episode was produced by Megan Bowers, Mike Cusic, and Matt Rotundo. Special thanks to Andy Uttley for the theme music and Mike Cusic for the for our album artwork.

On the 101st episode of What is a Good Life? podcast, I am delighted to introduce our guest, Patrick Boland. Patrick is a leadership consultant, executive coach, psychotherapist, writer, and trainer across several industries and sectors around the world. Patrick's 2024 book, 'The Contemplative Leader', features interviews with world-class leaders on the topics of presence, connection, being non-attached and leading when we're not in control. In 2021, he co-authored a book of reflections, 'Every Thing Is Sacred', with the contemplative teacher Richard Rohr. Patrick founded Conexus in 2013, an organisation that coaches leaders and their teams using a combination of neuroscience; depth psychology; and embodied, experiential learning. In this insightful conversation, Patrick shares his experiences of moving towards a life that is beautifully full rather than persistently busy. We explore the shifting priorities and seasons of life, the significance of resting into the moment, questioning societal scripts as well as the interconnections we've observed between slowing down, being, and self-compassion. This whole conversation is a wonderful invitation to pause, reflect, step into your own life, notice the world around you, let go of control, and embrace whatever season your life is in. I found Patrick to be a rarely attuned individual so I am sure you will take a lot from this episode.For further content and information check out the following:- Patrick's Book: https://www.penguinrandomhouse.com/books/735750/the-contemplative-leader-by-patrick-boland/- The book's website: https://www.thecontemplativeleader.com/- Conexus Website: https://www.conexus.ie/about- Patrick's LinkedIn: https://www.linkedin.com/in/patrick-boland-9546048/- For the What is a Good Life? podcast's YouTube page: https://www.youtube.com/@whatisagoodlife/videos- My newsletter: https://www.whatisagood.life/- My LinkedIn: https://www.linkedin.com/in/mark-mccartney-14b0161b4/Contact me at mark@whatisagood.life if you'd like to explore your own lines of self-inquiry through 1-on-1 coaching, take part in my weekly free silent conversations, discuss experiences I create to stimulate greater trust, communication, and connection, amongst your leadership teams, or you simply want to get in touch.00:00 Introduction02:51 What does it mean to walk beautifully?08:51 Working hard but working less11:51 Life is beautifully full15:21 Resting into the moment 20:21 Questioning society and searching for meaning25:21 The delusion that anyone has it all together28:36 Suffering and letting go of control33:11 Fear and control38:21 Being and learning from life itself41:36 Moving off the script46:00 Contact with the feeling of the moment49:51 Moving into more self-compassion53:21 Slowing down and being59:51 What is a good life for Patrick?

Welcome to a special live episode of She's Interesting, recorded at Startup Summit's Women In Tech Breakfast powered by Conexus! Join host Rashel Hariri as she sits down with Monique Simair, Founder and CEO of Maven Water & Environment, for an eye-opening discussion on resilience, overcoming setbacks, and sustainable growth. Monique's journey from farm life to award-winning environmental tech entrepreneur is filled with powerful lessons on perseverance. After facing a tight job market as a PhD biogeochemist, Monique created her own path, founding her first company in 2010. But her path wasn't always straightforward; being let go from a government job triggered self-doubt and negative self-talk. Despite this, Monique landed a $500,000 client and has since bootstrapped her way to success, now leading Maven Water & Environment with a high-growth approach. Let's Keep In Touch: Newsletter:⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://shesinteresting-newsletter.be... Instagram: ⁠⁠⁠⁠@shesinterestingpodcast Website:⁠⁠⁠⁠ ⁠shesinteresting.com⁠⁠⁠⁠⁠⁠ LinkedIn: https://www.linkedin.com/company/shes-interesting-podcast/ Music Credits Intro music: Lifeline by Kaleido

Conexus Week Concludes With DR. EVAN SILVERSTEIN full 747 Fri, 20 Sep 2024 15:04:00 +0000 Q6kWTi3Z0jCVnodBLtICmYcTGnjZxTVf news Richmond's Morning News with John Reid news Conexus Week Concludes With DR. EVAN SILVERSTEIN On Richmond's Morning News, John Reid discusses the top stories of the day from around the world, nationally, in Virginia, and right here in the Richmond area.  Listen to news you can use, newsmakers, and analysis of what's happening every weekday from 5:30 to 10:00 AM on NewsRadio 1140 WRVA and 96.1 FM!   2024 © 2021 Audacy, Inc.

Conexus Week Continues With JEFF BALDWIN full 777 Thu, 19 Sep 2024 15:00:00 +0000 jy2ATfxVwrSGVVMn6oQSWPB1HvsITfVI news Richmond's Morning News with John Reid news Conexus Week Continues With JEFF BALDWIN On Richmond's Morning News, John Reid discusses the top stories of the day from around the world, nationally, in Virginia, and right here in the Richmond area.  Listen to news you can use, newsmakers, and analysis of what's happening every weekday from 5:30 to 10:00 AM on NewsRadio 1140 WRVA and 96.1 FM!   2024 © 2021 Audacy, Inc.

Conexus Week Continues With KIA MILES full 615 Wed, 18 Sep 2024 15:00:00 +0000 eL6tUtKbQC1OIeSPOzwbPCAoKdq5ePpK news Richmond's Morning News with John Reid news Conexus Week Continues With KIA MILES On Richmond's Morning News, John Reid discusses the top stories of the day from around the world, nationally, in Virginia, and right here in the Richmond area.  Listen to news you can use, newsmakers, and analysis of what's happening every weekday from 5:30 to 10:00 AM on NewsRadio 1140 WRVA and 96.1 FM!   2024 © 2021 Audacy, Inc.

TIM GRESHAM Tells Us About Conexus Vision full 708 Mon, 16 Sep 2024 15:03:00 +0000 8rO2Vd0Rpo7DwrRKXUX72Nn2HqVKLSyU news Richmond's Morning News with John Reid news TIM GRESHAM Tells Us About Conexus Vision On Richmond's Morning News, John Reid discusses the top stories of the day from around the world, nationally, in Virginia, and right here in the Richmond area.  Listen to news you can use, newsmakers, and analysis of what's happening every weekday from 5:30 to 10:00 AM on NewsRadio 1140 WRVA and 96.1 FM!   2024 © 2021 Audacy, Inc.

Infraestruturas verdes criam cidades mais resilientes às alterações climáticas. Maria do Rosário Oliveira, arquiteta paisagista e investigadora do Instituto de Ciências Sociais da Universidade de Lisboa, descreve como o projeto Conexus está a implementar soluções baseadas na natureza na cidade de Lisboa. Este verão estamos a recordar alguns episódios do podcast que nos inspiraram com visões para uma gestão mais ecológica dos nossos recursos. Esta entrevista foi primeiro publicada em junho de 2022.

The housing market, interest rates and what they mean for homeowners continue to be a top concern with the economy today. What should homebuyers be taking into consideration and prioritizing when it comes to 30-year amortizations, dropping interest rates and increasing housing prices? Robert Davis, Conexus vice-president of treasury joins Evan to share more with Saskatchewan residents.

Dr. Eric Daimler is a leading authority in robotics and artificial intelligence with over 20 years of experience as an entrepreneur, investor, technologist, and policymaker. He served as a Presidential Innovation Fellow for AI and Robotics under the Obama Administration, driving U.S. leadership in AI research and commercialization. Eric has founded and led several pioneering tech companies and currently serves on the boards of WelWaze Medical and Petuum. His latest venture, Conexus, addresses the critical issue of data deluge in information technology. With a career spanning business, academia, and policy, Eric offers a unique perspective on shaping the future of AI for societal benefit.  00:00 Snippet01:09 Our Guest05:40 AI is much more than Machine Learning10:57 Lisp and data30:54 Conexus 32:53 Type Theory and Quantum compiling34:44 The government's role in AI39:14 Connecting with Eric ------------------------------------------------------------------ To learn more about Eric visit https://www.linkedin.com/in/ericdaimler/ To learn more about Dark Rhiino Security visit https://www.darkrhiinosecurity.com ------------------------------------------------------------------ SOCIAL MEDIA: Stay connected with us on our social media pages where we'll give you snippets, alerts for new podcasts, and even behind the scenes of our studio! Instagram: @securityconfidential and @Darkrhiinosecurity Facebook: @Dark-Rhiino-Security-Inc Twitter: @darkrhiinosec LinkedIn: @dark-rhiino-security Youtube: @DarkRhiinoSecurity ​

Eric Daimler, CEO of Conexusdeep dives into the realms of AI, autonomous technologies, and data security. As a former Presidential Innovation Fellow under the Obama administration, Daimler shares his insights on AI's potential, its implications for data protection, and the revolutionary work of Conexus in solving the data deluge challenge. With discussions ranging from the basics of AI and its various applications to the nuances of autonomous driving and the strategic implementation of AI in businesses both large and small, this episode is a rich mixture of technical knowledge, practical advice, and visionary perspectives.

Welcome to the Business Broadcast Podcast! Each week James brings on the show an entrepreneur who shares their biggest challenges and struggles in business. James coaches the business owner through these challenges by asking those hard hitting questions in order to get to the bottom of these problems and help the business owner soar to success. Find out more from Kevin at: CONEXUS tuition Preston Try Entrepreneurs University 14 Day FREE Trial Here ► https://jamessinclair.net/entrepreneu... Get your tickets to our next event here ► https://jamessinclair.net/seminars/ Apply to be on my podcast here ► https://jamessinclair.net/podcasts/ Get your tickets to our next event here ► https://jamessinclair.net/seminars/ Apply to be on my podcast here ► https://jamessinclair.net/podcasts/ My Socials:

Do you want to learn how to use AI to solve your complex data issues?  That's what I'm talking about today with Eric Daimler. Eric is an authority in Artificial Intelligence with over 20 years of experience in the field as an entrepreneur, executive, investor, technologist, and policy advisor.  He is the CEO and Co-Founder of Conexus, which provides solutions that analyze and integrate large amounts of data from multiple sources. Eric is a frequent speaker, lecturer, and commentator.  He works to empower communities and citizens to leverage AI for a more sustainable, secure, and prosperous future. Eric studied at Stanford University, the University of Washington-Seattle, and Carnegie Mellon University, where he earned his PhD in its School of Computer Science. “Every company is going to become an Artificial Intelligence company.” – Eric Daimler Today on the Tech Leader Talk podcast: - Why Artificial Intelligence is the economic engine of the future - The important relationship between Data Infrastructure and AI - Policies and regulation related to AI - Tasks that are best handled by AI today - What's coming next for AI Resources Book:  ReCulturing by Melissa Daimler - https://www.amazon.com/ReCulturing-Company-Culture-Connect-Strategy/dp/1264278608 Connect with Eric Daimler: Website: https://conexus.com/ LinkedIn: https://www.linkedin.com/in/ericdaimler/ Thanks for listening! Be sure to get your free copy of Steve's latest book, Cracking the Patent Code, and discover his proven system for identifying and protecting your most valuable inventions. Get the book at https://stevesponseller.com/book.

Dr. Melissa Moeller, a Conexus optometrist, joins John to talk about children's eye exams.

In a thought-provoking episode, I sit down with Dr. Eric Daimler, an eminent authority on artificial intelligence and robotics with over two decades of multifaceted experience. As a Presidential Innovation Fellow for AI and Robotics under the Obama Administration and the CEO of Conexus, Dr. Daimler offers a unique vantage point on the intersection of policy, innovation, and entrepreneurship in the ever-evolving AI landscape. The conversation kicks off with an exploration into Eric's role as the first AI authority in the Obama White House. They delve into the strategic importance of having technology expertise within the governmental structure, examining how such expertise can shape public policy and drive national initiatives. From the macro to the micro, the conversation shifts towards the mounting challenges of data management in AI implementations. With his current venture, Conexus, Dr. Daimler aims to revolutionize data integration and migration through a category-theory-based platform, CQL. The discussion takes a deep dive into the complexities of managing data deluge and the role of category theory in simplifying this monumental task. The discourse then moves into the social and ethical dimensions of AI and robotics. Eric and Neil ponder on the responsibility of communities and citizens in shaping the future of these technologies. They stress the necessity for a collective approach towards understanding the ethical, societal, and economic impacts of AI. As the conversation advances, we discuss the prospects and challenges for AI in automating vocational IT work and synthesizing various tools' actions. They underscore the transformative potential of AI in diverse sectors, including supply chain management, organ donation, and drug discovery. Dr. Daimler brings an unparalleled blend of academic rigor, policy insight, and entrepreneurial spirit to the episode. This is a must-listen for anyone interested in the multifaceted aspects of AI, from data management to ethical considerations and policy implications.

Eric Daimler is the founder and CEO of Conexus, a groundbreaking solution for what is perhaps today's biggest information technology problem: data deluge. Eric is leading the development of CQL, a patent-pending platform founded upon category theory — a revolution in mathematics — to help companies manage the overwhelming and rapidly growing challenge of data integration and migration. In addition, Eric has over 20 years of experience as an entrepreneur, investor, technologist, and policymaker. He served under the Obama Administration as a Presidential Innovation Fellow for AI and Robotics in the Executive Office of the President. He was the sole authority driving the agenda for U.S. leadership in research, commercialization, and public adoption of AI & Robotics.   Advertiser:  https://timezest.com/mspradio/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/ Support the show on Patreon:  https://patreon.com/mspradio/ Want our stuff?  Cool Merch?  Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on: Facebook: https://www.facebook.com/mspradionews/ Twitter: https://twitter.com/mspradionews/ Instagram: https://www.instagram.com/mspradio/ LinkedIn: https://www.linkedin.com/company/28908079/

This and all episodes at: https://aiandyou.net/ .   Feeling inundated with data? If you're running a business, that's no joke, and it's getting worse. Helping people dig through a mountain of data is Eric Daimler, founder and CEO of Conexus. He has over 20 years of experience as an entrepreneur, investor, technologist, and policymaker where he served under the Obama Administration as a Presidential Innovation Fellow for AI and Robotics in the Executive Office of the President. He was the sole authority driving the agenda for U.S. leadership in research, commercialization, and public adoption of AI and robotics.  We had a freewheeling, thought-provoking discussion about regulation, business, and state of the art AI. In the conclusion of our conversation, Eric helps us understand how a business should think about and interface with today's AI to leverage it successfully. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.        

This and all episodes at: https://aiandyou.net/ .   Feeling inundated with data? If you're running a business, that's no joke, and it's getting worse. Helping people dig through a mountain of data is Eric Daimler, founder and CEO of Conexus. He has over 20 years of experience as an entrepreneur, investor, technologist, and policymaker where he served under the Obama Administration as a Presidential Innovation Fellow for AI and Robotics in the Executive Office of the President. He was the sole authority driving the agenda for U.S. leadership in research, commercialization, and public adoption of AI and robotics.  We had a freewheeling, thought-provoking discussion about regulation, business, and state of the art AI. In this first part of our conversation, we touch on everything from self-driving cars to ChatGPT and China. And category theory as the solution to data deluge. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.        

Eric Daimler is the chair, CEO and co-founder of Conexus AI. He also sits on numerous boards and is a leading expert in the field of robotics and AI. He joins Ryan to talk about the revolutionary things Conexus are doing in the world of AI, how you can set up AI in your own company and how he thinks AI will create endless possibilities for humanity and the world we live in. KEY TAKEAWAYS Conexus was originally bootstrapped, funding its MVP and explorations before attracting funding to hire staff to turn themselves into a scalable product and business Conexus integrates data models, allowing for collaboration between teams. AI and Robotics are simply a system, they are something that senses and acts, learning from the experience. Good AI can create a seamless customer experience by solving universal problems, particularly with databases and systems. For the future, Conexus is aiming to focus on product-led growth with its offering. Focusing on automation first is how Conexus plan to grow without having to expand its team. BEST MOMENTS “AI, robotics, learning algorithms can be thought of as a system” “It's not because of security, it's because your systems suck, they don't talk to one another” “It's super useful for everyday business and the operation of complex systems, especially when lives are at stake” “We're lucky to be the leaders in the expression of category theory for the integrity of the integration database” Do You Want The Closing Secrets That Helped Close Over $125 Million in New Business for Free?"  Grab them HERE: https://www.whalesellingsystem.com/closingsecrets Ryan Staley Founder and CEO Whale Boss 312-848-7443 ryan@whalesellingsystem.com www.ryanstaley.io  EPISODE RESOURCES ABOUT THE SHOW How do you grow like a VC-backed company without taking on investors? Do you want to create a lifestyle business, a performance business or an empire? How do you scale to an exit without losing your freedom?Join the host Ryan Staley every Monday and Wednesday for conversations with the brightest and best Founders, CEO and Entrepreneurs to crack the code on repeatable revenue growth, leadership, lifestyle freedom and mindset.This show has featured Startup and Billion Dollar Founders, Best Selling Authors, and the World's Top Sales and Marketing Experts like Terry Jones (Founder of Travelocity and Chairman of Kayak), Andrew Gazdecki (Founder of Micro Acquire), Harpal Sambhi (Founder of Magical with a previous exit to Linkedin) and many more. This is where Scaling and Sales are made simple in 25 minutes or less.Saas, Saas growth, Scale, Business Growth, B2b Saas, Saas Sales, Enterprise Saas, Business growth strategy, founder, ceo: https://www.whalesellingsystem.com/closingsecretsSee omnystudio.com/listener for privacy information.

Eric Daimler is a six-time entrepreneur and Founder and CEO of Conexus. The company helps organizations exchange data, even under the most complex of circumstances.Eric brings extensive knowledge of Artificial Intelligence (AI) to the show. He served as a former Presidential Innovation Fellow for Artificial Intelligence (AI) and Robotics under the Obama administration. Now, as the head of a company that specializes in AI deployment and data usage.In our conversation, Eric takes us through the world of AI, from its development over the past 30 years to the dramatic leaps forward.We discuss Conexus and how they are helping organizations harness overwhelming amounts of data.Eric explains why unassuming and unsexy business ventures that offer the most opportunity for growth and profit.We delve into the technical aspects of ChatGPT, the innovations that made this natural language processing tool possible. We also examine the fears that many have around AI and the impact these tools will have on society.Eric's enthusiasm and his gift for simplifying these complex topics make for an informative episode. You won't need a tin foil hat for this fascinating dive into the world of AI!Check out some of our most popular episodes:Chicken S#!it CEOs w. Mogens SmedLeadership Lessons from Louis Vuitton, Samsonite, and Now, EVCP Growth EquityCanada's Best Venture Partner w. Bruce CroxonStay in the know and follow along:Connect with our host, Cory Cleveland on LinkedInVisit The Insider's Guide to Finance WebsiteFollow us on LinkedInSubscribe to our YouTube channelSubscribe to The Knowledge Bank Letter - a periodic letter of actionable insights, interviews, and quality curations

I am joined by Connor Wall, Founder and Global Managing Director of Conexus, a rapidly growing international recruitment company. Connor explains how the SAP market has evolved since Covid, how to retain your top talent, and discusses his personal journey in building a business and brand.

It's the season finale of the What Connects Us Podcast and we're featuring our new CEO who made HERstory when she signed on with Conexus. We're chatting with Celina Philpot about her journey to becoming our first female CEO. Celina chats about her origin story as a first generation immigrant, the experience she gained in the credit union system, what it meant to her to become Conexus' CEO, what her first few months have been like and what we can expect from her in the future. Celina also talks about why family and community means so much to her and she gives some valuable insight into how we can help support new Canadians as they establish themselves in their new home.

Show Notes(02:15) Eric reflected on his early interest in computer science and his decision to study at Carnegie Mellon University in the early 90s.(05:40) Eric recalled his academic and overall college experience, emphasizing the importance of the people he was surrounded with.(08:22) Eric talked about his time working as a quant analyst early in his career, the moment he encountered the birth of the Mosaic browser, and his decision to join the tech industry.(13:01) Eric imparted wisdom learned from venture investing during the dot-com boom.(18:02) Eric talked about the next phase of his academic career - earning a Ph.D. in Computer Science from Carnegie Mellon and dropping out of a Ph.D. program at Stanford.(21:06) Eric discussed his academic research on Computational Economics for corporate malfeasance during his time as a Ph.D. student.(27:39) Eric shared different initiatives he worked on with Carnegie Mellon University - serving as the Assistant Dean and Assistant Professor of Software Engineering, launching CMU's Silicon Valley Campus, and founding CMU's Entrepreneurial Management program.(31:54) Eric described his journey in founding Hg Analytics, a hedge fund focused on statistical arbitrage, alongside other CMU's Computer Science PhDs.(37:36) Eric revisited his passion for AI and robotics, which eventually led to serving as a Presidential Innovation Fellow during the Obama Administration with the White House Office of Science and Technology Policy.(42:54) Eric shared his perspective on the role of AI in geopolitics and highlighted the challenges with data integration.(47:29) Eric explained his company Conexus, which develops a technology spin-off from MIT's Mathematics department using a branch of math called Category Theory.(50:55) Eric went over a customer case study that uses Conexus's solution to guarantee the semantics of data integrity during data transformation.(54:20) Eric showed his enthusiasm for the concept of data relationships.(56:59) Eric provided a sneak peek of his forthcoming book, "The Coming Composability: The roadmap for using technology to solve society's biggest problems."(58:38) Closing segment.Eric's Contact InfoTwitterLinkedInConexus' ResourcesWebsite | ResourcesMentioned ContentPeopleKai-Fu LeeAndrew NgEric XingBook"ReCulturing: Design Your Company Culture to Connect with Strategy and Purpose for Lasting Success" (by Melissa Daimler)About the showDatacast features long-form, in-depth conversations with practitioners and researchers in the data community to walk through their professional journeys and unpack the lessons learned along the way. I invite guests coming from a wide range of career paths — from scientists and analysts to founders and investors — to analyze the case for using data in the real world and extract their mental models (“the WHY and the HOW”) behind their pursuits. Hopefully, these conversations can serve as valuable tools for early-stage data professionals as they navigate their own careers in the exciting data universe.Datacast is produced and edited by James Le. Get in touch with feedback or guest suggestions by emailing khanhle.1013@gmail.com.Subscribe by searching for Datacast wherever you get podcasts, or click one of the links below:Listen on SpotifyListen on Apple PodcastsListen on Google PodcastsIf you're new, see the podcast homepage for the most recent episodes to listen to or browse the full guest list.

Our collection of data is growing much faster than our capacity to use it, says Eric Daimler, the founder and CEO of Conexus. He explains to Bradley the opportunities and pitfalls of artificial intelligence and machine learning — and why companies with better math will be the ultimate winners.

Conexus VisioCheck Manager Kia Miles discusses what makes a Conexus vision screening different than the traditional school based screenings.

Todays guest is CEO and co-founder of Conexus, the first spinoff of the MIT math department that takes discoveries in high level mathematics (category theory) and applies them to make databases intelligent across many industries.

In this episode, we're joined by Eric Daimler, CEO & co-founder of Conexus AI, Inc, an MIT spin out. We discuss the Conexus software platform, which is built on top of breakthroughs in the mathematics of Category Theory, and how it guarantees the integrity of universal data models. Eric shares real-world examples of applying this approach to various complex industries, such as transportation and logistics, avionics, and energy.Listen to this episode wherever you listen to podcasts. Eric Daimler: https://www.linkedin.com/in/ericdaimler/ Joey Dodds: https://www.linkedin.com/in/joey-dodds-4b462a41/ Rob Dockins: https://galois.com/team/robert-dockins/ Galois, Inc.: https://galois.com/ Contact us: podcast@galois.com

Highlights from this week's conversation include:Eric's background and career journey (3:30)Presenting to people without knowledge of AI (11:04)Why math was chosen over AI (19:03)From compilers to databases (25:42)The contribution of category theory (30:09)The Connexus customer experience (37:45)The primary user of Connexus (46:33)Interacting with 300,000 databases (51:07)When Connexus begins to add value (54:02)The best way to learn this mathematical approach (55:46)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

In a world where founders of agtech companies are the superheroes of the story….Sean O'Conner and Kyle Scott of Emmertech are the self described “Alfreds'” of the Canadian Ag Tech world.Kyle Scott is the Managing Director at Conexus Venture Capital and Emmertech.Sean O'Conner is the head of Conexus Venture Capital who runs the VC fund on behalf of Conexus and Emmertech.This $60 million dollar fund has thrown out the Canadian playbook when it comes to venture capital.They have reinvented it and rebuilt a new investment approach to fit the world of ag tech.Dan, Sean, and Kyle discuss closing the venture capital gap between the massive investment in the US and Canada. This episode is an eye opening conversation on Canadian Ag Tech and funds.In this episode, you will learn:Who is Emmertech?Who is Conexus?Sean's roleKyle's roleHow to become a Venture Capital ManagerWhat it's like spending other peoples moneyWhat ag tech in the prairies looks like todayWhat comic book heroes Kyle and Sean relate toThe work dynamic between Kyle and SeanWhat it's like to receive money to investCore values of EmmertechHow hard it is to raise fundsWhat Kyle and Sean have to say to investors that have not put their money into the fundWhat do the funds currently look like for ag tech?Who are the investors?What does the role of an investor look likeCan investors lend anything other then moneyWhy don't companies just bootstrap?How Kyle and Sean handle the different personalities of investorsThe top question Sean and Kyle ask new companiesWhat is different about AgTech from a conventional fund?Some of the exciting companies Sean and Kyle are working withWho is Emmertech currently investing inWhat's next for Emmertech? Connect Sean:Twitter: https://twitter.com/seantoconnorLinkedIn: https://www.linkedin.com/in/sean-o-connor-73310b46/ Connect with Kyle:LinkedIn: https://www.linkedin.com/in/kyleascott/ Connect with Conexus Venture Capital and Emmertech:Twitter: https://twitter.com/Conexus_VCLinkedIn: https://www.linkedin.com/showcase/conexusventurecapital/ Aberhart Family of Companies:https://aberhartagsolutions.cahttps://aberhartfarms.comhttps://suregrowth.cahttps://www.convergencegrowth.com Connect with us on AGvisorPro: https://link-app.agvisorpro.com/aberhart-dan If you want to be part of the Growing the Future community, make sure to say hi on social at: https://linktr.ee/Growingthefuturepodcast 

Today's episode features Dr. Eric Daimler, who is an authority in the Artificial Intelligence community with over 20 years of experience in the field. He currently leads MIT's first-ever spinout from its Math department and has co-founded six technology companies that have pioneered work in fields ranging from software systems to statistical arbitrage. As a Presidential Innovation Fellow during the Obama Administration, Eric helped drive the agenda for U.S. leadership in research, commercialization, and public adoption of AI. Eric is a passionate technologist, and we dove deep into conversations about AI - the potential, algorithm regulation and much more. It was great speaking with Dr. Daimler on compositionality, his work at Conexus and I loved his points on having “circuit breakers” for AI, and his philosophy around lifesaving AI innovations should be quickly adopted and embraced, while emphasizing that it is important to be bringing more people into the conversation around AI so more people are comfortable with it - particularly with regard to bias and ethics in AI. Links of interest: Dr. Eric DaimlerAbout Conexus - Adaptable Data Consolidation

Fiona Reynolds is the CEO of Conexus Financial. She served as the CEO of the Principles for Responsible Investment (PRI) for over nine years. As part of her role in the UK, she was on the board of a number of organisations including UN Global Compact, Climate Action 100+, the UK Green Finance Institute, the Greening the Belt and Road Global Committee, and the Asset Owners Net Zero Alliance Fiona has 25 years' experience in the financial services and pension sector. She joined the PRI from the Australian Institute of Superannuation Trustees (AIST), where she spent seven years as CEO. Fiona was named one of the 20 most influential people in sustainability globally by Barron's magazine and has twice been named one of Australia's one hundred women of influence by the Australian Financial Review. Fiona also serves on the Board of Frontier Investment Consulting, the investment Committee of the Laudes Foundation and Advisory Boards of Quinbrook Infrastructure Partners, PWC, Affirmative Investment Management and the Advisory board of BASF.On this episode of Outside In Fiona talks with Jon about her unconventional start, a failed coup at the PRI, '80s rock and balancing people, profit and planet. Fiona also discusses how responsible investing has gone mainstream on her watch, with the resulting increase in risk to ethos and ethics, and how she has followed the money to change the world.

Harry's guest Eric Daimler, a serial software entrepreneur and a former Presidential Innovation Fellow in the Obama Administration, has an interesting argument about math. If you're a young person today trying to decide which math course you're going to take—or maybe an old person who just wants to brush up—he says you shouldn't bother with trigonometry or calculus. Instead he says you should study category theory. An increasingly important in computer science, category theory is about the relationships between sets or structures. It can be used to prove that different structures are consistent or compatible with one another, and to prove that the relationships in a dataset are still intact even after the data has been transformed in some way. Together with two former MIT mathematicians, Daimler co-founded a company called Conexus that uses category theory to tackle the problem of data interoperability. Longtime listeners know that data interoperability in healthcare, or more often the lack of interoperability, is a repeating theme of the show. In fields from drug development to frontline medical care, we've got petabytes of data to work with, in the form of electronic medical records, genomic and proteomic data, and clinical trial data. That data could be the fuel for machine learning and other kinds of computation that could help us make develop drugs faster and make smarter decisions about care. The problem is, it's all stored in different databases and formats that can't be safely merged without a nightmarish amount of work. So when someone like Daimler says they have a way to use math to bring heterogeneous data together without compromising that data's integrity – well, it's time to pay attention. That's why on today's show, we're all going back to school for an introductory class in category theory.Please rate and review The Harry Glorikian Show on Apple Podcasts! Here's how to do that from an iPhone, iPad, or iPod touch:1. Open the Podcasts app on your iPhone, iPad, or Mac. 2. Navigate to The Harry Glorikian Show podcast. You can find it by searching for it or selecting it from your library. Just note that you'll have to go to the series page which shows all the episodes, not just the page for a single episode.3. Scroll down to find the subhead titled "Ratings & Reviews."4. Under one of the highlighted reviews, select "Write a Review."5. Next, select a star rating at the top — you have the option of choosing between one and five stars. 6. Using the text box at the top, write a title for your review. Then, in the lower text box, write your review. Your review can be up to 300 words long.7. Once you've finished, select "Send" or "Save" in the top-right corner. 8. If you've never left a podcast review before, enter a nickname. Your nickname will be displayed next to any reviews you leave from here on out. 9. After selecting a nickname, tap OK. Your review may not be immediately visible.That's it! Thanks so much.TranscriptHarry Glorikian: Hello. I'm Harry Glorikian, and this is The Harry Glorikian Show, where we explore how technology is changing everything we know about healthcare.My guest today is Eric Daimler, a serial software entrepreneur and a former Presidential Innovation Fellow in the Obama Administration.And he has an interesting argument about math. Daimler says if you're a young person today trying to decide which math course you're going to take, or maybe an old person who just wants to brush up, you shouldn't bother with trigonometry or calculus.Instead he says you should study category theory.That's a field that isn't even part of the curriculum at most high schools. But it's increasingly important in computer science.Category theory is about the relationships between sets or structures. It can be used to prove that different structures are consistent or compatible with one another, and to prove that the relationships in a dataset are still intact even after you've transformed that data in some way.Together with two former MIT mathematicians, Daimler co-founded a company called Conexus that uses category theory to tackle the problem of data interoperability.Now…longtime listeners of the show know that data interoperability in healthcare, or more often the lack of interoperability, is one of my biggest hobby horses. In fields from drug development to frontline medical care, we've got petabytes of data to work with, in the form of electronic medical records, genomic and proteomic data, and clinical trial data.That data could be the fuel for machine learning and other kinds of computation that could help us make develop drugs faster and make smarter decisions about care. The problem is, it's all stored in different databases and formats that can't be safely merged without a nightmarish amount of work.So when someone like Daimler says they have a way to use math to bring heterogeneous data together without compromising that data's integrity – well, I pay attention.So on today's show, we're all going back to school for an introductory class in category theory from Conexus CEO Eric Daimler.Harry Glorikian: Eric, welcome to the show.Eric Daimler: It's great to be here.Harry Glorikian: So I was reading your varied background. I mean, you've worked in so many different kinds of organizations. I'm not sure that there is a compact way or even an accurate way to describe you. So can you describe yourself? You know, what do you do and what are your main interest areas?Eric Daimler: Yeah, I mean, the easiest way to describe me might come from my mother. Well, where, you know, somebody asked her, is that the doctor? And she says, Well, yes, but he's not the type that helps people. So I you know, I've been doing research around artificial intelligence and I from a lot of different perspectives around my research in graph theory and machine learning and computational linguistics. I've been a venture capitalist on Sand Hill Road. I've done entrepreneurship, done entrepreneurship, and I started a couple of businesses which I'm doing now. And most notably I was doing policy in Washington, D.C. is part of the Obama administration for a time. So I am often known for that last part. But my background really is rare, if not unique, for having the exposure to AI from all of those angles, from business, academia and policy.Harry Glorikian: Yeah. I mean, I was looking at the obviously the like you said, the one thing that jumped out to me was the you were a Presidential Innovation Fellow in the Obama administration in 2016. Can you can you give listeners an idea of what is what is the Presidential Innovation Fellowship Program? You know, who are the types of people that are fellows and what kind of things do they do?Eric Daimler: Sure, it was I guess with that sort of question, it's helpful then to give a broader picture, even how it started. There was a a program started during the Nixon administration that's colloquially known as the Science Advisers to the President, you know, a bipartisan group to give science advice to the president that that's called the OSTP, Office of Science and Technology Policy. There are experts within that group that know know everything from space to cancer, to be super specific to, in my domain, computer security. And I was the authority that was the sole authority during my time in artificial intelligence. So there are other people with other expertise there. There are people in different capacities. You know, I had the particular capacity, I had the particular title that I had that was a one year term. The staffing for these things goes up and down, depending on the administration in ways that you might be able to predict and guess. The people with those titles also also find themselves in different parts of the the executive branch. So they will do a variety of things that are not predicted by the the title of the fellow. My particular role that I happened to be doing was in helping to coordinate on behalf of the President, humbly, on behalf of the President, their research agenda across the executive branch. There are some very able people with whom I had the good fortune of working during my time during my time there, some of which are now in the in the Biden administration. And again, it's to be a nonpartisan effort around artificial intelligence. Both sides should really be advocates for having our research agenda in government be most effective. But my role was coordinating such things as, really this is helpful, the definition of robotics, which you might be surprised by as a reflex but but quickly find to be useful when you're thinking that the Defense Department's definition and use, therefore, of robotics is really fundamentally different than that of health and human services use and a definition of robotics and the VA and Department of Energy and State and and so forth.Eric Daimler: So that is we find to be useful, to be coordinated by the Office of the President and experts speaking on behalf. It was started really this additional impulse was started after the effects of, I'll generously call them, of healthcare.gov and the trip-ups there where President Obama, to his great credit, realized that we needed to attract more technologists into government, that we had a lot of lawyers to be sure we had, we had a ton of academics, but we didn't have a lot of business people, practical technologists. So he created a way to get people like me motivated to come into government for short, short periods of time. The the idea was that you could sit around a cabinet, a cabinet meeting, and you could you would never be able to raise your hand saying, oh, I don't know anything about economics or I don't know anything about foreign policy, but you could raise your hand and say, Oh, I don't know anything about technology. That needs to be a thing of the past. President Obama saw that and created a program starting with Todd. Todd Park, the chief technologist, the second chief technology officer of the United States, is fantastic to to start to start some programs to bring in people like me.Harry Glorikian: Oh, yeah. And believe me, in health care, we need we need more technologists, which I always preach. I'm like, don't go to Facebook. Come here. You know, you can get double whammy. You can make money and you can affect people's lives. So I'm always preaching that to everybody. But so if I'm not mistaken, in early 2021, you wrote an open letter to the brand new Biden administration calling for sort of a big federal effort to improve national data infrastructure. Like, can you summarize for everybody the argument in that piece and. Do you see them doing any of the items that you're suggesting?Eric Daimler: Right. The the idea is that despite us making some real good efforts during the Obama administration with solidifying our, I'll say, our view on artificial intelligence across the executive, and this continuing actually into the Trump administration with the establishment of an AI office inside the OSTP. So credit where credit is due. That extended into the the Biden administration, where some very well-meaning people can be focusing on different parts of the the conundrum of AI expressions, having various distortions. You know, the popular one we will read about is this distortion of bias that can express itself in really ugly ways, as you know, as individuals, especially for underrepresented groups. The point of the article was to help others be reminded of of some of the easy, low hanging fruit that we can that we can work on around AI. So, you know, bias comes in a lot of different ways, the same way we all have cognitive distortions, you know, cognitive biases. There are some like 50 of them, right. You know, bias can happen around gender and ethnicity and age, sexual orientation and so forth. You know, it all can also can come from absence of data. There's a type of bias that's present just by being in a developed, rich country in collecting, for example, with Conexus's customers, my company Conexus's customers, where they are trying to report on their good efforts for economic and social good and around clean, renewable energies, they find that there's a bias in being able to collect data in rich countries versus developing countries.Eric Daimler: That's another type of bias. So that was that was the point of me writing that open letter, to prioritize, these letters. It's just to distinguish what the low hanging fruit was versus some of the hard problems. The, some of tthe low hanging fruit, I think is available, I can say, In three easy parts that people can remember. One is circuit breakers. So we we can have circuit breakers in a lot of different parts of these automated systems. You know, automated car rolling down a road is, is the easiest example where, you know, at some point a driver needs to take over control to determine to make a judgment about that shadow being a person or a tumbleweed on the crosswalk, that's a type of circuit breaker. We can have those circuit breakers in a lot of different automated systems. Another one is an audit. And the way I mean is audit is having people like me or just generally people that are experts in the craft being able to distinguish the data or the biases can become possible from the data model algorithms where biases also can become possible. Right. And we get a lot of efficiency from these automated systems, these learning algorithms. I think we can afford a little bit taken off to audit the degree to which these data models are doing what we intend.Eric Daimler: And an example of a data model is that Delta Airlines, you know, they know my age or my height, and I fly to San Francisco, to New York or some such thing. The data model would be their own proprietary algorithm to determine whether or not I am deserving of an upgrade to first class, for example. That's a data model. We can have other data models. A famous one that we all are part of is FICO scores, credit scores, and those don't have to be disclosed. None of us actually know what Experian or any of the credit agencies used to determine our credit scores. But they they use these type of things called zero knowledge proofs, where we just send through enough data, enough times that we can get to a sense of what those data models are. So that's an exposure of a data model. A declarative exposure would be maybe a next best thing, a next step, and that's a type of audit.Eric Daimler: And then the third low hanging fruit, I'd say, around regulation, and I think these are just coming towards eventualities, is demanding lineage or demanding provenance. You know, you'll see a lot of news reports, often on less credible sites, but sometimes on on shockingly credible sites where claims are made that you need to then search yourself and, you know, people in a hurry just won't do it, when these become very large systems and very large systems of information, alert systems of automation, I want to know: How were these conclusions given? So, you know, an example in health care would be if my clinician gave me a diagnosis of, let's say, some sort of cancer. And then to say, you know, here's a drug, by the way, and there's a five chance, 5 percent chance of there being some awful side effects. You know, that's a connection of causation or a connection of of conclusions that I'm really not comfortable with. You know, I want to know, like, every step is like, wait, wait. So, so what type of cancer? So what's the probability of my cancer? You know, where is it? And so what drug, you know, how did you make that decision? You know, I want to know every little step of the way. It's fine that they give me that conclusion, but I want to be able to back that up. You know, a similar example, just in everyday parlance for people would be if I did suddenly to say I want a house, and then houses are presented to me. I don't quite want that. Although that looks like good for a Hollywood narrative. Right? I want to say, oh, wait, what's my income? Or what's my cash? You know, how much? And then what's my credit? Like, how much can I afford? Oh, these are houses you can kind of afford. Like, I want those little steps or at least want to back out how those decisions were made available. That's a lineage. So those three things, circuit breaker, audit, lineage, those are three pieces of low hanging fruit that I think the European Union, the State of New York and other other government entities would be well served to prioritize.Harry Glorikian: I would love all of them, especially, you know, the health care example, although I'm not holding my breath because I might not come back to life by how long I'd have to hold my breath on that one. But we're hoping for the best and we talk about that on the show all the time. But you mentioned Conexus. You're one of three co founders, I believe. If I'm not mistaken, Conexus is the first ever commercial spin out from MIT's math department. The company is in the area of large scale data integration, building on insights that come out of the field of mathematics that's called category algebra, categorical algebra, or something called enterprise category theory. And to be quite honest, I did have to Wikipedia to sort of look that up, was not familiar with it. So can you explain category algebra in terms of a non mathematician and maybe give us an example that someone can wrap their mind around.Eric Daimler: Yeah. Yeah. And it's important to get into because even though what my company does is, Conexus does a software expression of categorical algebra, it's really beginning to permeate our world. You know, the the way I tell my my nieces and nephews is, what do quantum computers, smart contracts and Minecraft all have in common? And the answer is composability. You know, they are actually all composable. And what composable is, is it's kind of related to modularity, but it's modularity without regard to scale. So the the easy analogy is in trains where, yeah, you can swap out a boxcar in a train, but mostly trains can only get to be a couple of miles long. Swap in and out boxcars, but the train is really limited in scale. Whereas the train system, the system of a train can be infinitely large, infinitely complex. At every point in the track you can have another track. That is the difference between modularity and composability. So Minecraft is infinitely self referential where you have a whole 'nother universe that exists in and around Minecraft. In smart contracts is actually not enabled without the ability to prove the efficacy, which is then enabled by categorical algebra or its sister in math, type theory. They're kind of adjacent. And that's similar to quantum computing. So quantum computing is very sexy. It gets in the press quite frequently with forks and all, all that. If it you wouldn't be able to prove the efficacy of a quantum compiler, you wouldn't actually. Humans can't actually say whether it's true or not without type theory or categorical algebra.Eric Daimler: How you think of kind categorical algebra you can think of as a little bit related to graph theory. Graph theory is those things that you see, they look like spider webs. If you see the visualizations of graph theories are graphs. Category theory is a little bit related, you might say, to graph theory, but with more structure or more semantics or richness. So in each point, each node and each edge, in the vernacular, you can you can put an infinite amount of information. That's really what a categorical algebra allows. This, the discovery, this was invented to be translating math between different domains of math. The discovery in 2011 from one of my co-founders, who was faculty at MIT's Math Department, was that we could apply that to databases. And it's in that the whole world opens up. This solves the problem that that bedeviled the good folks trying to work on healthcare.gov. It allows for a good explanation of how we can prevent the next 737 Max disaster, where individual systems certainly can be formally verified. But the whole plane doesn't have a mechanism of being formally verified with classic approaches. And it also has application in drug discovery, where we have a way of bringing together hundreds of thousands of databases in a formal way without risk of data being misinterpreted, which is a big deal when you have a 10-year time horizon for FDA trials and you have multiple teams coming in and out of data sets and and human instinct to hoard data and a concern about it ever becoming corrupted. This math and the software expression built upon it opens up just a fantastically rich new world of opportunity for for drug discovery and for clinicians and for health care delivery. And the list is quite, quite deep.Harry Glorikian: So. What does Conexus provide its clients? Is it a service? Is it a technology? Is it both? Can you give us an example of it?Eric Daimler: Yeah. So Conexus is software. Conexus is enterprise software. It's an enterprise software platform that works generally with very large organizations that have generally very large complex data data infrastructures. You know the example, I can start in health care and then I can I can move to an even bigger one, was with a hospital group that we work with in New York City. I didn't even know health care groups could really have this problem. But it's endemic to really the world's data, where one group within the same hospital had a particular way that they represented diabetes. Now to a layman, layman in a health care sense, I would think, well, there's a definition of diabetes. I can just look it up in the Oxford English Dictionary. But this particular domain found diabetes to just be easily represented as yes, no. Do they have it? Do they not? Another group within the same hospital group thought that they would represent it as diabetes, ow are we treating it? A third group would be representing it as diabetes, how long ago. And then a fourth group had some well-meaning clinicians that would characterize it as, they had it and they have less now or, you know, type one, type two, you know, with a more more nuanced view.Eric Daimler: The traditional way of capturing that data, whether it's for drug discovery or whether it's for delivery, is to normalize it, which would then squash the fidelity of the data collected within those groups. Or they most likely to actually just wouldn't do it. They wouldn't collect the data, they wouldn't bring the data together because it's just too hard, it's too expensive. They would use these processes called ETL, extract, transform, load, that have been around for 30 years but are often slow, expensive, fragile. They could take six months to year, cost $1,000,000, deploy 50 to 100 people generally from Accenture or Deloitte or Tata or Wipro. You know, that's a burden. It's a burden, you know, so the data wasn't available and that would then impair the researchers and their ability to to share data. And it would impair clinicians in their view of patient care. And it also impaired the people in operations where they would work on billing. So we work with one company right now that that works on 1.4 trillion records a year. And they just have trouble with that volume and the number of databases and the heterogeneous data infrastructure, bringing together that data to give them one view that then can facilitate health care delivery. Eric Daimler: The big example is, we work with Uber where they they have a very smart team, as smart as one might think. They also have an effectively infinite balance sheet with which they could fund an ideal IT infrastructure. But despite that, you know, Uber grew up like every other organization optimizing for the delivery of their service or product and, and that doesn't entail optimizing for that infrastructure. So what they found, just like this hospital group with different definitions of diabetes, they found they happen to have grown up around service areas. So in this case cities, more or less. So when then the time came to do analysis -- we're just passing Super Bowl weekend, how will the Super Bowl affect the the supply of drivers or the demand from riders? They had to do it for the city of San Francisco, separate than the city of San Jose or the city of Oakland. They couldn't do the whole San Francisco Bay Area region, let alone the whole of the state or the whole of the country or what have you. And that repeated itself for every business question, every organizational question that they would want to have. This is the same in drug discovery. This is the same in patient care delivery or in billing. These operational questions are hard, shockingly hard.Eric Daimler: We had another one in logistics where we had a logistics company that had 100,000 employees. I didn't even know some of these companies could be so big, and they actually had a client with 100,000 employees. That client had 1000 ships, each one of which had 10,000 containers. And I didn't even know like how big these systems were really. I hadn't thought about it. But I mean, they're enormous. And the question was, hey, where's our personal protective equipment? Where is the PPE? And that's actually a hard question to ask. You know, we are thinking about maybe our FedEx tracking numbers from an Amazon order. But if you're looking at the PPE and where it is on a container or inside of a ship, you know, inside this large company, it's actually a hard question to ask. That's this question that all of these organizations have. Eric Daimler: In our case, Uber, where they they they had a friction in time and in money and in accuracy, asking every one of these business questions. They went then to find, how do I solve this problem? Do I use these old tools of ETL from the '80s? Do I use these more modern tools from the 2000s? They're called RDF or OWL? Or is there something else? They discovered that they needed a more foundational system, this categorical algebra that that's now expressing itself in smart contracts and quantum computers and other places. And they just then they found, oh, who are the leaders in the enterprise software expression of that math? And it's us. We happen to be 40 miles north of them. Which is fortunate. We worked with Uber to to solve that problem in bringing together their heterogeneous data infrastructure to solve their problems. And to have them tell it they save $10 million plus a year in in the efficiency and speed gains from the solution we helped provide for them.[musical interlude]Harry Glorikian: Let's pause the conversation for a minute to talk about one small but important thing you can do, to help keep the podcast going. And that's leave a rating and a review for the show on Apple Podcasts.All you have to do is open the Apple Podcasts app on your smartphone, search for The Harry Glorikian Show, and scroll down to the Ratings & Reviews section. Tap the stars to rate the show, and then tap the link that says Write a Review to leave your comments. It'll only take a minute, but you'll be doing a lot to help other listeners discover the show.And one more thing. If you like the interviews we do here on the show I know you'll like my new book, The Future You: How Artificial Intelligence Can Help You Get Healthier, Stress Less, and Live Longer.It's a friendly and accessible tour of all the ways today's information technologies are helping us diagnose diseases faster, treat them more precisely, and create personalized diet and exercise programs to prevent them in the first place.The book is now available in print and ebook formats. Just go to Amazon or Barnes & Noble and search for The Future You by Harry Glorikian.And now, back to the show.[musical interlude]Harry Glorikian: So your website says that your software can map data sources to each other so that the perfect data model is discovered, not designed. And so what does that mean? I mean, does that imply that there's some machine learning or other form of artificial intelligence involved, sort of saying here are the right pieces to put together as opposed to let me design this just for you. I'm trying to piece it together.Eric Daimler: Yeah. You know, the way we might come at this is just reminding ourselves about the structure of artificial intelligence. You know, in the public discourse, we will often find news, I'm sure you can find it today, on deep learning. You know, whatever's going on in deep learning because it's sexy, it's fun. You know, DeepMind really made a name for themselves and got them acquired at a pretty valuation because of their their Hollywood-esque challenge to Go, and solving of that game. But that particular domain of AI, deep learning, deep neural nets is a itself just a subset of machine learning. I say just not not not to minimize it. It's a fantastically powerful algorithm. But but just to place it, it is a subset of machine learning. And then machine learning itself is a subset of artificial intelligence. That's a probabilistic subset. So we all know probabilities are, those are good and bad. Fine when the context is digital advertising, less fine when it's the safety of a commercial jet. There is another part of artificial intelligence called deterministic artificial intelligence. They often get expressed as expert systems. Those generally got a bad name with the the flops of the early '80s. Right. They flopped because of scale, by the way. And then the flops in the early 2000s and 2010s from IBM's ill fated Watson experiment, the promise did not meet the the reality.Eric Daimler: It's in that deterministic A.I. that that magic is to be found, especially when deployed in conjunction with the probabilistic AI. That's that's where really the future is. There's some people have a religious view of, oh, it's only going to be a probabilistic world but there's many people like myself and not to bring up fancy names, but Andrew Ng, who's a brilliant AI researcher and investor, who also also shares this view, that it's a mix of probabilistic and deterministic AI. What deterministic AI does is, to put it simply, it searches the landscape of all possible connections. Actually it's difference between bottoms up and tops down. So the traditional way of, well, say, integrating things is looking at, for example, that hospital network and saying, oh, wow, we have four definitions of diabetes. Let me go solve this problem and create the one that works for our hospital network. Well, then pretty soon you have five standards, right? That's the traditional way that that goes. That's what a top down looks that looks like.Eric Daimler: It's called a Golden Record often, and it rarely works because pretty soon what happens is the organizations will find again their own need for their own definition of diabetes. In most all cases, that's top down approach rarely works. The bottoms up approach says, Let's discover the connections between these and we'll discover the relationships. We don't discover it organically like we depend on people because it's deterministic. I, we, we discover it through a massive, you know, non intuitive in some cases, it's just kind of infeasible for us to explore a trillion connections. But what the AI does is it explores a factorial number actually is a technical, the technical equation for it, a factorial number of of possible paths that then determine the map of relationships between between entities. So imagine just discovering the US highway system. If you did that as a person, it's going to take a bit. If you had some infinitely fast crawlers that robot's discovering the highway system infinitely fast, remember, then that's a much more effective way of doing it that gives you some degree of power. That's the difference between bottoms up and tops down. That's the difference between deterministic, really, we might say, and probabilistic in some simple way.Harry Glorikian: Yeah, I'm a firm believer of the two coming together and again, I just look at them as like a box. I always tell people like, it's a box of tools. I need to know the problem, and then we can sort of reach in and pick out which set of tools that are going to come together to solve this issue, as opposed to this damn word called AI that everybody thinks is one thing that they're sort of throwing at the wall to solve a problem.Harry Glorikian: But you're trying to solve, I'm going to say, data interoperability. And on this show I've had a lot of people talk about interoperability in health care, which I actually believe is, you could break the system because things aren't working right or I can't see what I need to see across the two hospitals that I need information from. But you published an essay on Medium about Haven, the health care collaboration between Amazon, JPMorgan, Berkshire Hathaway. Their goal was to use big data to guide patients to the best performing clinicians and the most affordable medicines. They originally were going to serve these first three founding companies. I think knowing the people that started it, their vision was bigger than that. There was a huge, you know, to-do when it came out. Fireworks and everything. Launched in 2018. They hired Atul Gawande, famous author, surgeon. But then Gawande left in 2020. And, you know, the company was sort of quietly, you know, pushed off into the sunset. Your essay argued that Haven likely failed due to data interoperability challenges. I mean. How so? What what specific challenges do you imagine Haven ran into?Eric Daimler: You know, it's funny, I say in the article very gently that I imagine this is what happened. And it's because I hedge it that that the Harvard Business Review said, "Oh, well, you're just guessing." Actually, I wasn't guessing. No, I know. I know the people that were doing it. I know the challenges there. But but I'm not going to quote them and get them in trouble. And, you know, they're not authorized to speak on it. So I perhaps was a little too modest in my framing of the conclusion. So this actually is what happened. What happens is in the same way that we had the difficulty with healthcare.gov, in the same way that I described these banks having difficulty. Heterogeneous databases don't like to talk to one another. In a variety of different ways. You know, the diabetes example is true, but it's just one of many, many, many, many, many, many cases of data just being collected differently for their own use. It can be as prosaic as first name, last name or "F.last name." Right? It's just that simple, you know? And how do I bring those together? Well, those are those are called entity resolutions. Those are somewhat straightforward, but not often 100 percent solvable. You know, this is just a pain. It's a pain. And, you know, so what what Haven gets into is they're saying, well, we're massive. We got like Uber, we got an effectively infinite balance sheet. We got some very smart people. We'll solve this problem. And, you know, this is some of the problem with getting ahead of yourself. You know, I won't call it arrogance, but getting ahead of yourself, is that, you think, oh, I'll just be able to solve that problem.Eric Daimler: You know, credit where credit is due to Uber, you know, they looked both deeper saying, oh, this can't be solved at the level of computer science. And they looked outside, which is often a really hard organizational exercise. That just didn't happen at Haven. They thought they thought they could they could solve it themselves and they just didn't. The databases, not only could they have had, did have, their own structure, but they also were stored in different formats or by different vendors. So you have an SAP database, you have an Oracle database. That's another layer of complication. And when I say that these these take $1,000,000 to connect, that's not $1,000,000 one way. It's actually $2 million if you want to connect it both ways. Right. And then when you start adding five, let alone 50, you take 50 factorial. That's a very big number already. You multiply that times a million and 6 to 12 months for each and a hundred or two hundred people each. And you just pretty soon it's an infeasible budget. It doesn't work. You know, the budget for us solving solving Uber's problem in the traditional way was something on the order of $2 trillion. You know, you do that. You know, we had a bank in the U.S. and the budget for their vision was was a couple of billion. Like, it doesn't work. Right. That's that's what happened Haven. They'll get around to it, but but they're slow, like all organizations, big organizations are. They'll get around to solving this at a deeper level. We hope that we will remain leaders in database integration when they finally realize that the solution is at a deeper level than their than the existing tools.Harry Glorikian: So I mean, this is not I mean, there's a lot of people trying to solve this problem. It's one of those areas where if we don't solve it, I don't think we're going to get health care to the next level, to sort of manage the information and manage people and get them what they need more efficiently and drive down costs.Eric Daimler: Yeah.Harry Glorikian: And I do believe that EMRs are. I don't want to call them junk. Maybe I'm going too far, but I really think that they you know, if you had decided that you were going to design something to manage patients, that is not the software you would have written to start. Hands down. Which I worry about because these places won't, they spent so much putting them in that trying to get them to rip them out and put something in that actually works is challenging. You guys were actually doing something in COVID-19, too, if I'm not mistaken. Well, how is that project going? I don't know if it's over, but what are you learning about COVID-19 and the capabilities of your software, let's say?Eric Daimler: Yeah. You know, this is an important point that for anybody that's ever used Excel, we know what it means to get frustrated enough to secretly hard code a cell, you know, not keeping a formula in a cell. Yeah, that's what happened in a lot of these systems. So we will continue with electronic medical records to to bring these together, but they will end up being fragile, besides slow and expensive to construct. They will end up being fragile, because they were at some point hardcoded. And how that gets expressed is that the next time some other database standard appears inside of that organization's ecosystem from an acquisition or a divestiture or a different technical standard, even emerging, and then the whole process starts all over again. You know, we just experience this with a large company that that spent $100 million in about five years. And then they came to us and like, yeah, we know it works now, but we know like a year from now we're going to have to say we're going to go through it again. And, it's not like, oh, we'll just have a marginal difference. No, it's again, that factorial issue, that one database connected to the other 50 that already exist, creates this same problem all over again at a couple of orders of magnitude. So what we discover is these systems, these systems in the organization, they will continue to exist.Eric Daimler: These fragile systems will continue to exist. They'll continue to scale. They'll continue to grow in different parts of the life sciences domain, whether it's for clinicians, whether it's for operations, whether it's for drug discovery. Those will continue to exist. They'll continue to expand, and they will begin to approach the type of compositional systems that I'm describing from quantum computers or Minecraft or smart contracts, where you then need the the discovery and math that Conexus expresses in software for databases. When you need that is when you then need to prove the efficacy or otherwise demonstrate the lack of fragility or the integrity of the semantics. Conexus can with, it's a law of nature and it's in math, with 100 percent accuracy, prove the integrity of a database integration. And that matters in high consequence context when you're doing something as critical as drug side effects for different populations. We don't want your data to be misinterpreted. You can't afford lives to be lost or you can't, in regulation, you can't afford data to be leaking. That's where you'll ultimately need the categorical algebra. You'll need a provable compositional system. You can continue to construct these ones that will begin to approach compositionality, but when you need the math is when you need to prove it for either the high consequence context of lives, of money or related to that, of regulation.Harry Glorikian: Yeah, well, I keep telling my kids, make sure you're proficient in math because you're going to be using it for the rest of your life and finance. I always remind them about finance because I think both go together. But you've got a new book coming out. It's called "The Future is Formal" and not tuxedo like formal, but like you're, using the word formal. And I think you have a very specific meaning in mind. And I do want you to talk about, but I think what you're referring to is how we want automated systems to behave, meaning everything from advertising algorithms to self-driving trucks. And you can tell me if that my assumption is correct or not.Eric Daimler: Though it's a great segue, actually, from the math. You know, what I'm trying to do is bring in people that are not programmers or research technology, information technology researchers day to day into the conversation around automated digital systems. That's my motivation. And my motivation is, powered by the belief that we will bring out the best of the technology with more people engaged. And with more people engaged, we have a chance to embrace it and not resist it. You know, my greatest fear, I will say, selfishly, is that we come up with technology that people just reject, they just veto it because they don't understand it as a citizen. That also presents a danger because I think that companies' commercial expressions naturally will grow towards where their technology is needed. So this is actually to some extent a threat to Western security relative to Chinese competition, that we embrace the technology in the way that we want it to be expressed in our society. So trying to bring people into this conversation, even if they're not programmers, the connection to math is that there are 18 million computer programmers in the world. We don't need 18 million and one, you know. But what we do need is we do need people to be thinking, I say in a formal way, but also just be thinking about the values that are going to be represented in these digital infrastructures.Eric Daimler: You know, somewhere as a society, we will have to have a conversation with ourselves to determine the car driving to the crosswalk, braking or rolling or slowing or stopping completely. And then who's liable if it doesn't? Is it the driver or is it the manufacturer? Is it the the programmer that somehow put a bug in their code? You know, we're entering an age where we're going to start experiencing what some person calls double bugs. There's the bug in maybe one's expression in code. This often could be the semantics. Or in English. Like your English doesn't make sense. Right? Right. Or or was it actually an error in your thinking? You know, did you leave a gap in your thinking? This is often where where some of the bugs in Ethereum and smart contracts have been expressed where, you know, there's an old programming rule where you don't want to say something equals true. You always want to be saying true equals something. If you get if you do the former, not the latter, you can have to actually create bugs that can create security breaches.Eric Daimler: Just a small little error in thinking. That's not an error in semantics. That level of thinking, you don't need to know calculus for, or category theory for that matter. You just need to be thinking in a formal way. You know, often, often lawyers, accountants, engineers, you know, anybody with scientific training can, can more quickly get this idea, where those that are educated in liberal arts can contribute is in reminding themselves of the broader context that wants to be expressed, because often engineers can be overly reductionist. So there's really a there's a push and pull or, you know, an interplay between those two sensibilities that then we want to express in rules. Then that's ultimately what I mean by formal, formal rules. Tell me exactly what you mean. Tell me exactly how that is going to work. You know, physicians would understand this when they think about drug effects and drug side effects. They know exactly what it's going to be supposed to be doing, you know, with some degree of probability. But they can be very clear, very clear about it. It's that clear thinking that all of us will need to exercise as we think about the development and deployment of modern automated digital systems.Harry Glorikian: Yeah, you know, it's funny because that's the other thing I tell people, like when they say, What should my kid take? I'm like, have him take a, you know, basic programming, not because they're going to do it for a living, but they'll understand how this thing is structured and they can get wrap their mind around how it is. And, you know, I see how my nephew thinks who's from the computer science world and how I think, and sometimes, you know, it's funny watching him think. Or one of the CTOs of one of our companies how he looks at the world. And I'm like you. You got to back up a little bit and look at the bigger picture. Right. And so it's the two of us coming together that make more magic than one or the other by themselves.Harry Glorikian: So, you know, I want to jump back sort of to the different roles you've had in your career. Like like you said, you've been a technology investor, a serial startup founder, a university professor, an academic administrator, an entrepreneur, a management instructor, Presidential Innovation Fellow. I don't think I've missed anything, but I may have. You're also a speaker, a commentator, an author. Which one of those is most rewarding?Eric Daimler: Oh, that's an interesting question. Which one of those is most rewarding? I'm not sure. I find it to be rewarding with my friends and family. So it's rewarding to be with people. I find that to be rewarding in those particular expressions. My motivation is to be, you know, just bringing people in to have a conversation about what we want our world to look like, to the degree to which the technologies that I work with every day are closer to the dystopia of Hollywood narratives or closer to our hopes around the utopia that's possible, that where this is in that spectrum is up to us in our conversation around what these things want to look like. We have some glimpses of both extremes, but I'd like people, and I find it to be rewarding, to just be helping facilitate the helping catalyze that conversation. So the catalyst of that conversation and whatever form it takes is where I enjoy being.Harry Glorikian: Yeah, because I was thinking about like, you know, what can, what can you do as an individual that shapes the future. Does any of these roles stand out as more impactful than others, let's say?Eric Daimler: I think the future is in this notion of composability. I feel strongly about that and I want to enroll people into this paradigm as a framework from which to see many of the activities going around us. Why have NFTs come on the public, in the public media, so quickly? Why does crypto, cryptocurrency capture our imagination? Those And TikTok and the metaverse. And those are all expressions of this quick reconfiguration of patterns in different contexts that themselves are going to become easier and easier to express. The future is going to be owned by people that that take the special knowledge that they've acquired and then put it into short business expressions. I'm going to call them rules that then can be recontextualized and redeployed. This is my version of, or my abstraction of what people call the the future being just all TikTok. It's not literally that we're all going to be doing short dance videos. It's that TikTok is is an expression of people creating short bits of content and then having those be reconfigured and redistributed. That can be in medicine or clinical practice or in drugs, but it can be in any range of expertise, expertise or knowledge. And what's changed? What's changed and what is changing is the different technologies that are being brought to bear to capture that knowledge so that it can be scalable, so it can be compositional. Yeah, that's what's changing. That's what's going to be changing over the next 10 to 20 years. The more you study that, I think the better off we will be. And I'd say, you know, for my way of thinking about math, you might say the more math, the better. But if I were to choose for my children, I would say I would replace trig and geometry and even calculus, some people would be happy to know, with categorical algebra, category theory and with probability and statistics. So I would replace calculus, which I think is really the math of the 20th century, with something more appropriate to our digital age, which is categorical algebra.Harry Glorikian: I will tell my son because I'm sure he'll be very excited to to if I told him that not calculus, but he's not going to be happy when I say go to this other area, because I think he'd like to get out of it altogether.Eric Daimler: It's easier than calculus. Yeah.Harry Glorikian: So, you know, it was great having you on the show. I feel like we could talk for another hour on all these different aspects. You know, I'm hoping that your company is truly successful and that you help us solve this interoperability problem, which is, I've been I've been talking about it forever. It seems like I feel like, you know, the last 15 or 20 years. And I still worry if we're any closer to solving that problem, but I'm hopeful, and I wish you great success on the launch of your new book. It sounds exciting. I'm going to have to get myself a copy.Eric Daimler: Thank you very much. It's been fun. It's good to be with you.Harry Glorikian: Thank you.Harry Glorikian: That's it for this week's episode. You can find a full transcript of this episode as well as the full archive of episodes of The Harry Glorikian Show and MoneyBall Medicine at our website. Just go to glorikian.com and click on the tab Podcasts.I'd like to thank our listeners for boosting The Harry Glorikian Show into the top three percent of global podcasts.If you want to be sure to get every new episode of the show automatically, be sure to open Apple Podcasts or your favorite podcast player and hit follow or subscribe. Don't forget to leave us a rating and review on Apple Podcasts. And we always love to hear from listeners on Twitter, where you can find me at hglorikian.Thanks for listening, stay healthy, and be sure to tune in two weeks from now for our next interview.

Eric is an authority in Artificial Intelligence with over 20 years of experience in the field as an entrepreneur, executive, investor, technologist, and policy advisor. He is the CEO and Co-Founder of Conexus, which provides solutions that analyze and integrate large amounts of data from multiple sources. Eric is a frequent speaker, lecturer, and commentator. He works to empower communities and citizens to leverage AI for a more sustainable, secure, and prosperous future. Eric studied at Stanford University, the University of Washington-Seattle, and Carnegie Mellon University, where he earned his PhD in its School of Computer Science. “Every company is going to become an Artificial Intelligence company.” – Eric Daimler Today on the Tech Leader Talk podcast: - Why Artificial Intelligence is the economic engine of the future - The important relationship between Data Infrastructure and AI - Policies and regulation related to AI - Tasks that are best handled by AI today - What's coming next for AI ResourcesBook: ReCulturing by Melissa Daimler - https://www.amazon.com/ReCulturing-Company-Culture-Connect-Strategy/dp/1264278608 Connect with Eric Daimler: Website: https://conexus.com/ LinkedIn: https://www.linkedin.com/in/ericdaimler/ Twitter: https://twitter.com/ead Thanks for listening! Be sure to get your free copy of Steve's latest book, Cracking the Patent Code, and discover his proven system for identifying and protecting your most valuable inventions. Get the book at https://stevesponseller.com/book.

Part 2: This week on Making Data Simple, we have Eric Diamler. Eric is an authority in the Artificial Intelligence community with over 20 years of experience in the field. He currently leads MIT's first-ever spinout from its Math department and has co-founded six technology companies that have pioneered work in fields ranging from software systems to statistical arbitrage. Show Notes 00:00 -Definition of gov success8:02 - Six startups and counting and the latest : Conexus13:12 - Conexus differentiation20:05 - AI regulationWant to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. Abstract Making Data Simple Podcast is hosted by Al Martin, WW VP Account Technical Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Today's guest is a fitting end to close out the fifth season of the podcast as he recently closed a monumental chapter of his own. Eric Dillon is joining the podcast to reflect back on his 10 year run as Conexus' CEO and discuss how he knew it was time to begin a new adventure. On February 15, Eric sent one of the most difficult emails he's ever had to write as he let the organization know that he would be departing from his role as the CEO of Conexus. With Eric being such an authentic ambassador for Conexus and a beloved community leader in Saskatchewan - this created shockwaves of questions inside and outside of Conexus' walls with people wondering if Eric was retiring, where he was going, and why he was moving on from a place that he is so passionate about. Eric answers all of these questions and discusses how he came to the difficult decision to depart, how hard it was delivering the news that he was leaving and he reflects on some of the highs and lows of being a first-time CEO at Conexus. We'll also hear about Eric's origin story, what has shaped the authentic and progressive leadership style that he is known for, and how he's learned that the little things are often the big things.

Part 1: This week on Making Data Simple, we have Eric Diamler.  Eric is an authority in the Artificial Intelligence community with over 20 years of experience in the field. He currently leads MIT's first ever spinout from its Math department and has cofounded six technology companies that have pioneered work in fields ranging from software systems to statistical arbitrage. Show Notes 2:24 –Presidential Innovation Fellow during the Obama Administration4:30 -Be careful about confusing a vision with a short-term time horizon12:56 - Don't be a technology laggard, know what the "data" inhibitors are20:12 - Mr. President.  Here is the situation27:49 - How does the US compare to other countries?Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. Abstract Making Data Simple Podcast is hosted by Al Martin, WW VP Account Technical Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. 

Dr. Daimler is an authority in Artificial Intelligence with over 20 years of experience in the field as an entrepreneur, executive, investor, technologist, and policy advisor. He is also the founder of data integration firm Conexus, and we kick our conversation off with the work he is doing to integrate large heterogeneous data infrastructures. This leads us into an exploration of the concept of compositionality, a structural feature that enables systems to scale, which Dr. Daimler argues is the future of IT infrastructure. We discuss how the way we apply AI to data is constantly changing, with data sources growing quadratically, and how this necessitates an understanding of newer forms of math such as category theory by AI specialists. Towards the end of our discussion, we move on to the subject of the adoption of AI in technologies that lives depend on, and Dr. Daimler gives his recommendation for how to engender trust amongst the larger population. Key Points From This Episode:Experience Dr. Daimler has in AI in an academic, commercial, and governmental capacity.An issue in the choices being made around how to create data that is useful in large organizations.Dr. Daimler's work bringing heterogeneous data together to influence better business decisions.How much money is wasted on ETL processes and how bad the jobs in that field are.The difference between modularity and compositionality and why the latter is the future of IT infrastructure.How compositionality enables scalability and the need of certain branches of math to justify it.The work Dr. Daimler is doing in the field of compositionality at Connexus.Whether it is crucial to grasp these newer forms of math to achieve AI mastery.How AI systems can integrate into contexts involving human labor and empathy.The need to bring together probabilistic and deterministic AI in life and death contexts.How to get the public to trust and believe in AI-powered tech with the capacity to save lives.What AI practitioners can do to ensure they use their skillset to create a better future.Tweetables:“You can create data that doesn't add more fidelity to the knowledge you're looking to gain for better business decisions and that is one of the limitations that I saw expressed in the government and other large organizations.” — @ead [0:01:32]“That's the world, is compositionality. That is where we are going and the math that supports that, type theory, categorical theory, categorical logic, that's going to sweep away everything underneath IT infrastructure.” — @ead [0:10:23]“At the trillions of data, a trillion data sources, each growing quadratically, what we need is category theory.” — @ead [0:13:51]“People die and the way to solve that problem when you are talking about these life and death contexts for commercial airplane manufacturers or in energy exploration where the consequences of failure can be disastrous is to bring together the sensibilities of probabilistic AI and deterministic AI.” — @ead [0:24:07]“Circuit breakers, oversight, and data lineage, those are three ways that I would institute a regulatory regime around AI and algorithms that will engender trust amongst the larger population.” — @ead [0:35:12]Links Mentioned in Today's Episode:Dr. Eric Daimler on LinkedInDr. Eric Daimler on TwitterConexus

Today on the Celebrating Simple Life Podcast we are continuing our series on how to thrive, even when its hard. Lately, I've been feeling a bit of a disconnect with you and the show and I want to change that. So today I'm talking about things happening in my life which I have not been sharing (fully) on the show. I hope by sharing, vulnerably these truths, that we can grow together. I want to feel comfortable fully being who I am and I want that for you as well. Just by creating this podcast and putting this out there, the fears that get in the way have begun to disappear, creating better connection to you have already faded. This episode is perfect for anyone who is curious about the things I've been afraid to share on the show in recent months, so I hope you tune in! Jump over to Instagram and stay connected and tag @celebratingsimplelifepodcast on your Instagram stories when you share your favorite parts of this episode. EPISODE NOTES Celebrating Simple Life Sign up for the weekly Celebrating Simple Life Newsletter Celebrating Simple Life Podcast on Instagram Kimberly Joy Evans on Instagram IN GOOD COMPANY Social Club the JOY curator On the Celebrating Simple Life Blog EPISODE SPONSOR - CRAVE CUPCAKES I wanted to take a moment to talk about joy. Sometimes joy shows up in the form of a sweet treat from Crave Cupcakes. Celebrating everyday can be simple. Find something that brings you joy. I'm choosing to find joy in the simple things in the year ahead too and to kick off the New Year, Crave Cupcakes is featuring a Caramel Macchiato Cupcake – vanilla cake topped with coffee buttercream and a caramel drizzle which if you really want to throw a celebration can also be ordered as a full cake. And, because we want you to Treat Yourself, as a listener of the Celebrating Simple Life Podcast, you get an exclusive code to receive 10% off your order of $21 or more on mini cupcakes, original cupcakes, cookies and sandwich cookies when you use the code CELEBRATING. Head over to Crave Cupcakes online or in person, because today is a great day to Celebrate! Alright friend, back to the show. CELEBRATING SIMPLE LIFE Join the party by clicking through to Celebrating Simple Life. It would mean the world to me if you would take time to Subscribe , Rate & Review on Apple Podcasts and listen on whatever platform you choose to listen to Podcasts on! Reviews are occasionally selected to be read on the show! If you enjoy an episode and want to continue the conversation, I would love to see a screenshot of the episode on your Instagram stories and tag Celebrating Simple Life or #celebratingsimplelife or Follow the Celebrating Simple Life Podcast on Instagram PROUD MEMBER OF THE SASKATCHEWAN PODCAST NETWORK SPONSORED BY - CONEXUS The Celebrating Simple Life Podcast is a proud member of the The Saskatchewan Podcast Network which is supported by Conexus. Wellness, however you define it, is achievable. You don't even need to figure it all out yourself. Talk to Conexus. They'll give you guidance, motivation, and the push you need to reach your goals. They've got you. They're your financial partner and they know you can achieve your very best, your financial best. Prove them right. Start right at Conexus Credit Union. Learn more about your ad choices. Visit megaphone.fm/adchoices

Today on the Celebrating Simple Life Podcast, we are continuing our series on how to thrive, even when its hard. I'm chatting with Janna Dutton, Canadian-born entrepreneur and philanthropist owning multiple locations of the famous Tim Hortons multinational quick service food chain. From humble beginnings, Janna has taken her life experiences and has chosen to lead guests and her community from a place of humility and service with her personal mantra “a giving heart, grows”. Janna believes that no matter what hurdles and obstacles are waiting for you, it is the desire to make a positive change in the world, not money, that defines each of us as philanthropists. Currently, Janna is working with the Royal University Hospital Foundation on a campaign to raise 20 million dollars and is writing two books; one for children about setting and achieving goals, and a book about giving - inspiring all to share their unique gifts with the world. Janna believes that your work will only reflect your true self if you bring your true self to work. Tune in as we chat all about learning to follow your own ‘knowing' and the power of giving back. Jump over to Instagram and stay connected and tag @celebratingsimplelifepodcast on your Instagram stories when you share your favorite parts of this episode. EPISODE NOTES Connect with Janna Dutton Celebrating Simple Life Sign up for the weekly Celebrating Simple Life Newsletter Celebrating Simple Life Podcast on Instagram Kimberly Joy Evans on Instagram IN GOOD COMPANY Social Club On the Celebrating Simple Life Blog EPISODE SPONSOR - CRAVE CUPCAKES I wanted to take a moment to talk about joy. Sometimes joy shows up in the form of a sweet treat from Crave Cupcakes. Celebrating everyday can be simple. Find something that brings you joy. I'm choosing to find joy in the simple things in the year ahead too and to kick off the New Year, Crave Cupcakes is featuring a Caramel Macchiato Cupcake – vanilla cake topped with coffee buttercream and a caramel drizzle which if you really want to throw a celebration can also be ordered as a full cake. And, because we want you to Treat Yourself, as a listener of the Celebrating Simple Life Podcast, you get an exclusive code to receive 10% off your order of $21 or more on mini cupcakes, original cupcakes, cookies and sandwich cookies when you use the code CELEBRATING. Head over to Crave Cupcakes online or in person, because today is a great day to Celebrate! Alright friend, back to the show. CELEBRATING SIMPLE LIFE Join the party by clicking through to Celebrating Simple Life. It would mean the world to me if you would take time to Subscribe , Rate & Review on Apple Podcasts and listen on whatever platform you choose to listen to Podcasts on! Reviews are occasionally selected to be read on the show! If you enjoy an episode and want to continue the conversation, I would love to see a screenshot of the episode on your Instagram stories and tag Celebrating Simple Life or #celebratingsimplelife or Follow the Celebrating Simple Life Podcast on Instagram PROUD MEMBER OF THE SASKATCHEWAN PODCAST NETWORK SPONSORED BY - CONEXUS The Celebrating Simple Life Podcast is a proud member of the The Saskatchewan Podcast Network which is supported by Conexus. Wellness, however you define it, is achievable. You don't even need to figure it all out yourself. Talk to Conexus. They'll give you guidance, motivation, and the push you need to reach your goals. They've got you. They're your financial partner and they know you can achieve your very best, your financial best. Prove them right. Start right at Conexus Credit Union. Learn more about your ad choices. Visit megaphone.fm/adchoices

Today the Celebrating Simple Life Podcast, we are continuing our series on how to thrive, even when its hard. I'm chatting with Cathy Edwards, Co-Founder of HeartLinked. Heart Linked is a cooperative organization that fosters belonging, resiliency and leadership in young girls. Cathy had a vision and passion to grow organizations that nurture the feminine spirit, and support the empowerment and interconnectedness of women and girls. She is a service-oriented entrepreneur with a background in Commerce, Accounting and Law. Cathy, together with co-founder Shelley Kavia recognized the need for retreats and connection to strengthen engagement with youth in northern communities. This propelled the launch of Heart Linked and the call to other visionary women to join the cause. Tune in as we chat all about instilling social good in your life and business and listen all the way to the end (and grab a box of tissues) to hear some of the most touching moments that have happened along the way as Heart Linked connects with vulnerable youth. Jump over to Instagram and stay connected and tag @celebratingsimplelifepodcast on your Instagram stories when you share your favorite parts of this episode. EPISODE NOTES Connect with Heart Linked Celebrating Simple Life Sign up for the weekly Celebrating Simple Life Newsletter Celebrating Simple Life Podcast on Instagram Kimberly Joy Evans on Instagram IN GOOD COMPANY Social Club On the Celebrating Simple Life Blog EPISODE SPONSOR - CRAVE CUPCAKES I wanted to take a moment to talk about joy. Sometimes joy shows up in the form of a sweet treat from Crave Cupcakes. Celebrating everyday can be simple. Find something that brings you joy. I'm choosing to find joy in the simple things in the year ahead too and to kick off the New Year, Crave Cupcakes is featuring a Caramel Macchiato Cupcake – vanilla cake topped with coffee buttercream and a caramel drizzle which if you really want to throw a celebration can also be ordered as a full cake. And, because we want you to Treat Yourself, as a listener of the Celebrating Simple Life Podcast, you get an exclusive code to receive 10% off your order of $21 or more on mini cupcakes, original cupcakes, cookies and sandwich cookies when you use the code CELEBRATING. Head over to Crave Cupcakes online or in person, because today is a great day to Celebrate! Alright friend, back to the show. CELEBRATING SIMPLE LIFE Join the party by clicking through to Celebrating Simple Life. It would mean the world to me if you would take time to Subscribe , Rate & Review on Apple Podcasts and listen on whatever platform you choose to listen to Podcasts on! Reviews are occasionally selected to be read on the show! If you enjoy an episode and want to continue the conversation, I would love to see a screenshot of the episode on your Instagram stories and tag Celebrating Simple Life or #celebratingsimplelife or Follow the Celebrating Simple Life Podcast on Instagram PROUD MEMBER OF THE SASKATCHEWAN PODCAST NETWORK SPONSORED BY - CONEXUS The Celebrating Simple Life Podcast is a proud member of the The Saskatchewan Podcast Network which is supported by Conexus. Wellness, however you define it, is achievable. You don't even need to figure it all out yourself. Talk to Conexus. They'll give you guidance, motivation, and the push you need to reach your goals. They've got you. They're your financial partner and they know you can achieve your very best, your financial best. Prove them right. Start right at Conexus Credit Union. Learn more about your ad choices. Visit megaphone.fm/adchoices

Today on the first episode of the Celebrating Simple Life Podcast for 2022, we are starting a new series on how to thrive, even when its hard. I'm chatting with Merin Coutts, owner of Merin Coutts Consulting all about living with Guilt-Free-Confidence. Woah! We are diving deep into overwhelm, struggle and decision fatigue and how you can create a clear vision for your life, uncover obstacles and renew your energy. Merin is sharing all of the details about her new My Personal Vision course which gives you the permission to plan a life you love and build a roadmap, while igniting your passions and creating meaningful change in the way you show up in the world. You are going to love our conversation, so tune in! Jump over to Instagram and stay connected and tag @celebratingsimplelifepodcast on your Instagram stories when you share your favorite parts of this episode. EPISODE NOTES Merin Coutts Consulting Receive a DISCOUNT for the My Personal Vision course when you mention you are a listener of the Celebrating Simple Life Podcast. Sign up for the My Personal Vision Course here. Celebrating Simple Life Sign up for the weekly Celebrating Simple Life Newsletter Celebrating Simple Life Podcast on Instagram Kimberly Joy Evans on Instagram IN GOOD COMPANY Social Club On the Celebrating Simple Life Blog EPISODE SPONSOR - CRAVE CUPCAKES I wanted to take a moment to talk about joy. Sometimes joy shows up in the form of a sweet treat from Crave Cupcakes. Celebrating everyday can be simple. Find something that brings you joy. I'm choosing to find joy in the simple things in the year ahead too and to kick off the New Year, Crave Cupcakes is featuring a Caramel Macchiato Cupcake – vanilla cake topped with coffee buttercream and a caramel drizzle which if you really want to throw a celebration can also be ordered as a full cake. And, because we want you to Treat Yourself, as a listener of the Celebrating Simple Life Podcast, you get an exclusive code to receive 10% off your order of $21 or more on mini cupcakes, original cupcakes, cookies and sandwich cookies when you use the code CELEBRATING. Head over to Crave Cupcakes online or in person, because today is a great day to Celebrate! Alright friend, back to the show. CELEBRATING SIMPLE LIFE Join the party by clicking through to Celebrating Simple Life. It would mean the world to me if you would take time to Subscribe , Rate & Review on Apple Podcasts and listen on whatever platform you choose to listen to Podcasts on! Reviews are occasionally selected to be read on the show! If you enjoy an episode and want to continue the conversation, I would love to see a screenshot of the episode on your Instagram stories and tag Celebrating Simple Life or #celebratingsimplelife or Follow the Celebrating Simple Life Podcast on Instagram PROUD MEMBER OF THE SASKATCHEWAN PODCAST NETWORK SPONSORED BY - CONEXUS The Celebrating Simple Life Podcast is a proud member of the The Saskatchewan Podcast Network which is supported by Conexus. Wellness, however you define it, is achievable. You don't even need to figure it all out yourself. Talk to Conexus. They'll give you guidance, motivation, and the push you need to reach your goals. They've got you. They're your financial partner and they know you can achieve your very best, your financial best. Prove them right. Start right at Conexus Credit Union. Learn more about your ad choices. Visit megaphone.fm/adchoices

Today on the Celebrating Simple Life Podcast we are continuing our ‘Celebrating great things to come' series talking all about finding freedom in your life and business. How to make space for dreaming and creativity when so often it feels like we are head down, in the bog of work. Well, this past week, I did something for myself that I cannot wait to share with you! The holidays are a busy time of year and I'm wanting this short and sweet episode to give you permission to take a minute, stop what you are doing and really listen and feel to where you are being led in the year ahead. You ready? EPISODE NOTES Celebrating Simple Life Sign up for the weekly Celebrating Simple Life Newsletter Celebrating Simple Life Podcast on Instagram Kimberly Joy Evans on Instagram IN GOOD COMPANY Social Club On the Celebrating Simple Life Blog EPISODE SPONSOR - OKIKI CONSULTING I wanted to introduce you to an incredible woman named Fiyin, owner of Okiki Consulting. Listen….I know first hand the challenges of capturing video for content in your business. Creating, designing and putting content out can feel like a full time job. She empowers entrepreneurs and business owners to tell their stories through video content offering videography packages and coaching. Working with Fiyan on the Curated Content Socials has been a game changer for my business and for my clients whom she has created, edited and captured video for. Not only is Fiyin passionate about helping your business rise through video, she is a salt of the earth human and working with her will help your business rise. And, because we want you to Treat Yourself and your business to great things in the year ahead, as a listener of Celebrating Simple Life the Podcast, you get an exclusive rate for Video services with Okiki Consulting. Click the link in the Show Notes and head over to okikiconsulting.com to book your discovery call to find out how video can elevate your business in the most incredible ways. Because today is a great day to Celebrate! CELEBRATING SIMPLE LIFE You're listening to Season 5 of Celebrating Simple Life the podcast. I'm Kimberly Evans and I'm so delighted that you are here. I'm so passionate about all things business, marketing and celebrating the everyday! I'm here to help you navigate the crossroads of life, business and everything in between. I'm a small city mama who works from home and has been an entrepreneur for almost twenty years, switching up from event planning to marketing and social media consulting. Along with personally experiencing hardship in life and business, I've discovered how powerful our mindset and purpose is in creating a life of JOY and celebration while having a whole lot of fun along the way. Join me for happy hour as I connect you with inspiring leaders, entrepreneurs, tastemakers and extraordinary people as they share their journey in life and business, sharing all the secrets on how they are striving to live a life of purpose. Your fears and beliefs in yourself will be transformed as you are challenged and encouraged to work towards creating the best version of yourself from the inside out. You're in good company! Cheers to Celebrating Simple Life! PROUD MEMBER OF THE SASKATCHEWAN PODCAST NETWORK SPONSORED BY - CONEXUS The Celebrating Simple Life Podcast is a proud member of the The Saskatchewan Podcast Network which is supported by Conexus. Wellness, however you define it, is achievable. You don't even need to figure it all out yourself. Talk to Conexus. They'll give you guidance, motivation, and the push you need to reach your goals. They've got you. They're your financial partner and they know you can achieve your very best, your financial best. Prove them right. Start right at Conexus Credit Union. Learn more about your ad choices. Visit megaphone.fm/adchoices

Today on the Celebrating Simple Life Podcast we are continuing our series about Celebrating Great Things To Come with an incredible conversation with Parrish Kondra, Partner in Caban Condos. How did two guys from Saskatoon, decide to build beautiful and affordable properties in the tropical paradise of Mexico?! Parrish was born & raised in Saskatoon, in 2015 he took a chance and partnered in the Caban Condo business with Mike Delaire, sold everything and moved to Mexico with two suitcases & zero Spanish. Tune in to hear how Parrish took a chance on creating new experiences and how what you want out of life is exactly what you make it. Jump over to Instagram and stay connected and tag @celebratingsimplelifepodcast on your Instagram stories when you share your favorite parts of this episode. EPISODE NOTES Caban Condos Follow Caban Condos on Instagram Celebrating Simple Life Sign up for the weekly Celebrating Simple Life Newsletter Celebrating Simple Life the Podcast on Instagram Social Media Consulting IN GOOD COMPANY Social Club On the Celebrating Simple Life Blog EPISODE SPONSOR - OKIKI CONSULTING I wanted to introduce you to an incredible woman named Fiyin, owner of Okiki Consulting. Listen….I know first hand the challenges of capturing video for content in your business. Creating, designing and putting content out can feel like a full time job. She empowers entrepreneurs and business owners to tell their stories through video content offering videography packages and coaching. Working with Fiyan on the Curated Content Socials has been a game changer for my business and for my clients whom she has created, edited and captured video for. Not only is Fiyin passionate about helping your business rise through video, she is a salt of the earth human and working with her will help your business rise. And, because we want you to Treat Yourself and your business to great things in the year ahead, as a listener of Celebrating Simple Life the Podcast, you get an exclusive rate for Video services with Okiki Consulting. Click the link in the Show Notes and head over to okikiconsulting.com to book your discovery call to find out how video can elevate your business in the most incredible ways. Because today is a great day to Celebrate! CELEBRATING SIMPLE LIFE Join the party by clicking through to Celebrating Simple Life. It would mean the world to me if you would take time to Subscribe , Rate & Review on Apple Podcasts and listen on whatever platform you choose to listen to Podcasts on! Reviews are occasionally selected to be read on the show! If you enjoy an episode and want to continue the conversation, I would love to see a screenshot of the episode on your Instagram stories and tag Celebrating Simple Life or #celebratingsimplelife or Follow the Celebrating Simple Life Podcast on Instagram PROUD MEMBER OF THE SASKATCHEWAN PODCAST NETWORK SPONSORED BY - CONEXUS The Celebrating Simple Life Podcast is a proud member of the The Saskatchewan Podcast Network which is supported by Conexus. Wellness, however you define it, is achievable. You don't even need to figure it all out yourself. Talk to Conexus. They'll give you guidance, motivation, and the push you need to reach your goals. They've got you. They're your financial partner and they know you can achieve your very best, your financial best. Prove them right. Start right at Conexus Credit Union. Learn more about your ad choices. Visit megaphone.fm/adchoices

Behind the complexity of artificial intelligence, there are groundbreaking stories like that of AI and robotics expert, entrepreneur and investor Eric Daimler.  Eric joins this episode of Before IT Happened to tell us all about his journey from being an entrepreneurial engineering student who found massive success before hitting his twenties to advising former president Barack Obama's administration on how to regulate and develop AI and data infrastructure. Are we adapting or adopting? Listen for Eric's answer and more! Before any world-changing innovation, there was a moment, an event, a realization that sparked the idea before it happened. This is a podcast about that moment — about that idea. Before IT Happened takes you on a journey with the innovators who imagined — and are still imagining — our future. Join host Donna Loughlin as her guests tell their stories of how they brought their visions to life.  JUMP STRAIGHT INTO: (01:52) - Growing up in a basement surrounded by computers: “My aspirations were Bill Gates, Steve Jobs and Mitch Kapor. Those were actually three faces I literally had in my high school locker.” (08:19) - Eric's college experience at Carnegie Mellon: “I demonstrated the ability of a personal computer at that time to have a cheap robotic arm do its thing. I wanted to do robotics at an early age.” (11:44) - Dropping a PhD program and moving to London for work at 18: “As a young kid, I was able to buy my first Porsche, which is some sort of an accomplishment for a boy.” (17:46) - Studying two PhDs simultaneously while running a company: “If you looked at the flight, whether it was going to Pittsburgh from Silicon Valley, I was probably the only one on that flight doing machine learning problem sets.” (21:54) - Explaining why AI is the economic engine of the future: “It's often said that every company is a data company. It's not really just the data, it's that what you learn from the data and getting even more precise, it's in the data relationships” (28:04) - Machine intelligence and robotics at the White House: “I was just motivated really to serve the country. It was a pay cut, a substantial pay cut, but my father and my brother had served in the military” (33:40) - Eric's advice on how to apply AI in a safe way: “This is a big deal. It's a national imperative, maybe even saying a Western civilization imperative that everybody is involved.” EPISODE RESOURCES: Connect with Eric on https://www.linkedin.com/in/ericdaimler (LinkedIn) and https://twitter.com/ead (Twitter) Read: https://ericdaimler.medium.com/dear-mr-president-274d94f91996 (Eric's letter to President Biden on how the U.S. can ‘win the AI race') Learn more about Eric's data consolidation company https://conexus.com/ (Conexus)  Watch Eric's SALT talk: https://www.youtube.com/watch?v=YP9kodLGvT8 (AI, Robotics & Consciousness) Read Alvin Toffler's 1984 book https://www.amazon.com/Future-Shock-Alvin-Toffler/dp/0553277375/ref=asc_df_0553277375/?tag=hyprod-20&linkCode=df0&hvadid=312519927002&hvpos=&hvnetw=g&hvrand=13524889963189346404&hvpone=&hvptwo=&hvqmt=&hvdev=c&hvdvcmdl=&hvlocint=&hvlocphy=9031945&hvtargid=pla-522053264324&psc=1 (“Future Shock”) Thank you for listening! Follow https://www.beforeithappened.com/ (Before IT Happened) on https://www.instagram.com/beforeithappenedshow/ (Instagram) and https://twitter.com/TheBIHShow (Twitter), and don't forget to subscribe, rate and share the show wherever you listen to podcasts!  Before IT Happened is produced by Donna Loughlin and https://www.studiopodsf.com/ (StudioPod Media) with additional editing and sound design by https://nodalab.com/ (Nodalab). The Executive Producer is Katie Sunku Wood and all episodes are written by Jack Buehrer.

Today on the Celebrating Simple Life Podcast we are kicking off the month of December talking all about Celebrating Great Things To Come and of course, with the holidays just around the corner, we are going to have some fun today with our first ever Favorite Things Holiday Gift Guide. I'm going to be diving into 20 creative and incredible ideas that are my absolute favorites places to shop so that you can add them to your holiday gift ideas to celebrate the season.  Not to date myself, but you all remember a little show called The Oprah Winfrey Show, right?! Well, back in the 90's when the Queen of favorite things, Oprah Winfrey started her favorite things, I'm guessing that not even she imagined how fabulous that segment would get. So, in true Oprah fashion, I give you my favorite things. I wanted to find a way this holiday season to feature the businesses that are owned by incredible entrepreneurs and who are showing up in the world in such creative and unique ways.  Jump over to Instagram and stay connected and tag @celebratingsimplelifepodcast on your Instagram stories when you share your favorite parts of this episode. EPISODE NOTES Twisted Goods Crave Cupcakes Alt Haus Bella Chic The Well Collaborative The Shoppe Holistic Physiotherapy & Wellness Belong Lifestyle Alia Wall Co Boost Strategic Coaching - ReThink Marketing Accelerated Course Tula Financial - Money Club Printfresh Awasis Boutique Milk Jar Candle Co. Haute Coton Kristie Anne Mah - 5 Minute Gratitude Journal Michelle's Flowers elizabethlyn Parallel 49 Brewery - Beer Advent Calendar  Cassidy's Lemonade Stand Celebrating Simple Life Sign up for the weekly Celebrating Simple Life Newsletter Celebrating Simple Life the Podcast on Instagram Social Media Consulting IN GOOD COMPANY Social Club On the Celebrating Simple Life Blog EPISODE SPONSOR - OKIKI CONSULTING I wanted to introduce you to an incredible woman named Fiyin, owner of Okiki Consulting. Listen….I know first hand the challenges of capturing video for content in your business. Creating, designing and putting content out can feel like a full time job. She empowers entrepreneurs and business owners to tell their stories through video content offering videography packages and coaching. Working with Fiyan on the Curated Content Socials has been a game changer for my business and for my clients whom she has created, edited and captured video for. Not only is Fiyin passionate about helping your business rise through video, she is a salt of the earth human and working with her will help your business rise. And, because we want you to Treat Yourself and your business to great things in the year ahead, as a listener of Celebrating Simple Life the Podcast, you get an exclusive rate for Video services with Okiki Consulting. Click the link in the Show Notes and head over to okikiconsulting.com to book your discovery call to find out how video can elevate your business in the most incredible ways. Because today is a great day to Celebrate! PROUD MEMBER OF THE SASKATCHEWAN PODCAST NETWORK SPONSORED BY - CONEXUS The Celebrating Simple Life Podcast is a proud member of the The Saskatchewan Podcast Network which is supported by Conexus. Wellness, however you define it, is achievable. You don't even need to figure it all out yourself. Talk to Conexus. They'll give you guidance, motivation, and the push you need to reach your goals. They've got you. They're your financial partner and they know you can achieve your very best, your financial best. Prove them right. Start right at Conexus Credit Union. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode I am joined by Emma Cordiner, Consultant Lawyer at Conexus. Emma has extensive legal experience within the real estate and data centre sectors. Emma offers her insight to the legal aspect of data centre site selection and acquisition. We discuss how Emma stated her legal career and what drew her to a role within the real estate sector. We then discuss how Emma ended up working in the data centre sector and how the sector differs from standard real estate.We then cover the site selection legal process and why developers engage with lawyers to ensure acquisitions proceed.  Emma provides a great insight on what elements are important within the process and why it is essential to work with a legal expert in the process.Emma offers an amazing insight into the legal site selection process which is a critical element within the data centre sector.

On the newest episode of “In the Room w/ Todd Marksberry”, this week's guest is Eric Dillon, President and CEO of Conexus Credit Union. He shares what it's like to lead a credit union, staying involved as a CEO, how marketing and relationships helped along his journey, and more, including: The Leadership Corner (8:00 – 31:00): Todd and Eric discuss how leaders sometimes try to prove they're experts in areas where they're not, the dangers of doing so, and how leaders can communicate their strengths and weaknesses. Eric also gives insight on how important innovation is in his line of work.  The Curiosity Credenza (31:00 – 49:00): Todd and Eric share their hopes and aspirations for coming out of lockdown and their optimism for how we will all respond. We also get to learn how Eric and his team approach strategy, and how they connect and involve members in their plans.  The Colors of Life (50:00 – 59:00): Eric expresses his support of increasing the number of women who lead, as well as the steps they are taking to make Conexus an even more diverse organization. We get the chance to hear about Eric's family and all that they've built together.  Advice from the Experts (1:00:00 – 1:02:00): When chasing what brings you joy, Eric says that you need to find “what makes you lose track of time.” This is the key to finding what drives you both professionally and personally.  Enjoy listening to… In the Room w/ Todd Marksberry 

EPISODE 32, SEASON 2: Dr. Eric Daimler is a leading authority in data science. A serial entrepreneur and academic, he served as a Presidential Innovation Fellow during the Obama administration driving US leadership in AI and robotics. He's currently the CEO at Conexus, working to solve the massive problem of data deluge and deliver practical applications for business and governments alike.ABOUT THE SERIES: Future of XYZ is a weekly interview series dedicated to fostering forward-thinking discussions about where we are as a world and where we're going.FOR MORE INFORMATION: Visit future-of.xyz and follow on social media... LinkedIn: @lisagralnek, @lvg-co-strategy | Twitter: @lgralnek | IG: @futureofxyz

In this episode of the Data Exchange, I speak with Ryan Wisnesky, CTO and co-founder of Conexus, a startup that uses techniques from mathematics and incorporates them into novel tools for data integration, data management, and knowledge management.Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.