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It's another big night for the USMNT as the prep for the Gold CupLucas Panzica and Jamie Watson, calling the match for Westwood One, drop by in hour one to look at the past weekend in East Hartford- plus what to expect in NashvilleJamie also looks at MLS at the halfway point...We also look at the transfer news of the AM- inlcuding two teams that are more than happy to talk off the field but might be in the courtroom on other matters...
Matthew Haubrich is a Contractor and Natuzza Dimasi is a Real Estate Agent. They both are working together to create Pocket Neighborhoods in East Hartford. A very interesting concept that they hope can expand.
This week, while Dave Bittner is out, Joe Carrigan, and Maria Varmazis (also host of N2K's daily space podcast, T-Minus), are sharing the latest in social engineering scams, phishing schemes, and criminal exploits that are making headlines. We start off with a lot of follow up on listener feedback this week! Justin shares a thought about how to track gold deliveries with a simple sting operation involving an AirTag. Xray Specs offers a fun response to a theory about scanning plates and running Python scripts, stating they receive similar emails despite not owning a car. Jim Gilchrist recounts his experience with E-ZPass and unpaid tolls, explaining how a failed transponder led to a replacement and noting the prevalence of scam toll messages. Joe shares two gripping stories this week, one being on how the FBI is seizing $8.2 million from a massive romance scam involving cryptocurrency, and second is on a Maryland woman losing millions in a growing "pig butchering" scheme, with the FBI warning that many more victims are at risk. Maria's story is on an East Hartford woman caught up in a federal sweepstakes scam targeting the elderly. The suspects, including one local resident, allegedly stole millions. What did they do, and how did they get caught? Our catch of the day comes from a user on Reddit who shares a message they got from billionaire, and owner of Tesla, Elon Musk. Resources and links to stories: FBI Cracks 'Pig Butchering' Scam on Dating Sites Maryland woman loses millions in crypto "pig butchering" scam as FBI warns of more targets East Hartford Woman Bilked Elderly In Fake Sweepstakes Scam: Feds Elon Musk Vows To Hand Out $1 Million Checks This Weekend: What To Know Have a Catch of the Day you'd like to share? Email it to us at hackinghumans@n2k.com.
Our card this week is Dashaun “Dae Dae” Lawson, the King of Hearts from Connecticut.Dashaun “Dae Dae” Lawson was 26-years-old when he was fatally shot outside his mother's apartment in the Hockanum Park apartment complex in East Hartford, Connecticut. Dae Dae was killed just a few days before Christmas in 2017 and left behind three children, all under the age of five. His family and the detectives working his case are confident that someone in their neighborhood must have seen or heard something that could help investigators figure out who killed Dae Dae, they just need them to finally come forward. If you or anyone you know has information about Dashaun Lawon's murder, please call Detective Paul Sulzicki directly at 860- 291-7544 or contact the East Hartford Police Department at 860-528-4401. View source material and photos for this episode at: thedeckpodcast.com/dashaun-dae-dae-lawson Let us deal you in… follow The Deck on social media.Instagram: @thedeckpodcast | @audiochuckTwitter: @thedeckpodcast_ | @audiochuckFacebook: /TheDeckPodcast | /audiochuckllcTo support Season of Justice and learn more, please visit seasonofjustice.org. The Deck is hosted by Ashley Flowers. Instagram: @ashleyflowersTikTok: @ashleyflowerscrimejunkieTwitter: @Ash_FlowersFacebook: /AshleyFlowers.AFText Ashley at 317-733-7485 to talk all things true crime, get behind the scenes updates, and more!
Greg Bordonaro, Editor Hartford Business Journal talks East Hartford's development boom, Potential expansion of sports betting, Rise in union membership in CT
Marissa Baum, Head of Communications for the City of East Hartford, Connecticut joined the podcast to discuss her role in communications. She shared her transition from museums to local government, how she made an award winning video for #CityHallSelfieDay, and provided insight on going viral in the national media. Host: Lauren Palmer
Kathleen Williamson of UConn and Tracy Stefano, East Hartford Public Schools (East Hartford, CT), introduce the Connecticut WSCC Partnership and its collaboration with the East Hartford Public Schools. Host: Helene Marcy, Director of Programs & Communications at the UConn Collaboratory on School and Child Health Guests: • Tracy Stefano, K-12 Supervisor of Health & Physical Education, East Hartford Public Schools • Kathleen Williamson, Assistant Research Professor, Department of Educational Psychology, UConn Resources Read a transcript of the podcast. Connecticut WSCC Partnership website UConn Collaboratory on School and Child Health (CSCH) website UConn Rudd Center for Food Policy and Health website East Hartford Public Schools website WSCC Blueprints CSCH Social Media Links: BlueSky, Facebook, Instagram, LinkedIn, and Threads Produced, directed and edited by Helene Marcy. This recording has been made available for informational and educational purposes only. The Connecticut WSCC Partnership: the First Year in East Hartford was created by the UConn Collaboratory on School and Child Health and recorded in December 2024. Copyright © 2024 by the University of Connecticut. All rights reserved.
Mackenzie from East Hartford went on a great first date and now she's being ghosted. She called him her dream man and he's not returning her text. She wants to know why.
Rhett C Bruno is the USA Today and Washington Post Bestselling & Nebula Award Nominated Author of 'The Circuit Saga', 'Children of Titan Series', 'Buried Goddess Saga', 'Vicarious', 'The Roach', and 'The Luna Missile Crisis' (Audible Originals); among other works. He has been writing since before he can remember, scribbling down what he thought were epic stories when he was young to show to his friends and family. He is currently a full-time author and publisher living in Delaware with his wife, daughter, and dog Raven. Find out more here: http://rhettbruno.com/ Steve Beaulieu (Also writing as Jaime Castle) was born in 1984 in East Hartford, CT. Having spent most of his life in Palm Beach County, Florida, he and his wife moved to Fort Worth, TX in 2012. He loves comic books, fantasy and science fiction novels. He married the love of his life in 2005 and he fathered his first child in 2014, Oliver Paul Beaulieu. His namesake, two of Steve's favorite fictional characters, OliverTwist and The Green Arrow, Oliver Queen. Baby #2, Juneau Grace Beaulieu was born in August of 2017. Steve co-owns Aethon Books with his writing partner Rhett C. Bruno.
Nicole from East Hartford thinks her husband is cheating on her. She found a pink tumbler on her husband's workbench and it's not hers. She wants to know if he's cheating.
Nicole from East Hartford thinks her husband is cheating on her. She found a pink tumbler on her husband's workbench and it's not hers. She wants to know if he's cheating.
Ahead of the Huskies & Owls Saturday Night in East Hartford
Callum from East Hartford went on a great first date but now he's being ghosted. He wants to find out why Lexi isn't returning his texts.
Why do babies reject the breast and how can you overcome breast rejection? Listen in as Shelly Taft IBCLC discusses this and more. Join Shelly and Maria in this heartfelt episode of the Baby Pro Podcast as they share practical strategies for overcoming common breastfeeding issues, such as breast rejection and transitioning from bottle to breast. Learn effective techniques like skin to skin contact, the “bait and switch” and creating a positive breastfeeding environment. Celebrate East Hartford's milestone of establishing Connecticut's first breastfeeding friendly workspace and get answers to listener questions, including the safety of piercings while breastfeeding. In this episode, you will learn the following: Actionable tips to address common issues such as breast rejection, particularly when babies prefer bottle feeding. Techniques of breastfeeding like skin to skin contact, the bait and switch method and a calm feeding environment. Effective methods to help your baby transition from bottle to breast. East Hartford, Connecticut's accomplishment in establishing the state's first breastfeeding friendly workspace at their town hall. Advice on not to get a piercing while breastfeeding due to potential health risks and slower healing times for breastfeeding individuals. Seek help from an IBCLC to address more complex breastfeeding issues and ensure successful breastfeeding practices. Strategies to manage nursing strikes, which can occur due to environmental changes or anatomical developments in the baby. Tips on making the breast a happy place for the baby, such as using rhythm and movement during feedings and maintaining a nurturing environment. Connect with Shelly: Website: Massachusetts IBCLC | Lactation Consultant - Shelly Taft Insta: Instagram (@shellytaftibclc) Article mentioned: East Hartford becomes first CT town to be recognized as having a “breastfeeding friendly worksite” - CT Insider
In this episode, Joe and Roberto start out with their discussion of their coverage in East Hartford last week for the Colombia/Bolivia and Ecuador/Honduras friendlies leading into the 2024 Copa America (4:15). They then continue with their discussion of the first two opening matches of the Copa America (13:50). From there, they dive deeper into the 2024 European Championship as they complete Match Day 2 (17:40). We close with a preview of next week's show.
In today's episode I speak with Ryan McKeen who is the Co-Founder and CEO of the Connecticut Trial Firm which focuses on representing plaintiffs in personal injury cases. In addition to his expertise and experience in the courtroom, Ryan is a sought after speaker on topics related to law firm leadership and success for personal injury lawyers. He is the author of two books: Tiger Tactics: Powerful Strategies for Winning Law Firms and CEO Edition and is active on LinkedIn where he shares lessons from running his own firm and his lawyer life to his more than 16,000 followers on LinkedIn. Ryan started his career at Leone, Throwe, Teller & Nagel in East Hartford, Connecticut before opening his own firm. He is a graduate of Framingham State University (Go Rams) and Western New England University School of Law (Go Bears). In our conversation we discuss his path to becoming a lawyer and his practice area, the life of a personal injury lawyer (and his response to common critiques of the practice area), the shift from being a junior associate at a small firm to founding his own firm, the ways that he leverages technology in his law practice, the story of his firm's landmark 100 million dollar verdict (the largest bodily injury verdict in state history), and more. This episode is sponsored, edited, and engineered by LawPods, a professional podcast production company for busy attorneys. Want to Support the Podcast in 2 minutes or less? Leave a Review (this helps the algorithm connect me to new listeners) Follow on LinkedIn Subscribe on iTunes or Spotify
East Hartford barber Osvaldo Lugo told Chaz & AJ how he rescued a toddler from oncoming traffic, and the Best Dive Bar in CT was crowned! (0:00) Dumb Ass News - Comedian Emily Siero joined Chaz & AJ to hear how a bakery employee lost a diamond in a cookie, and how a thirsty dog interrupted a Zoom meeting. (12:03) Comedian Vince Berry took to the streets of Hartford for the UConn victory parade and sent some revealing conversations with attendees! (17:27) Dumb Ass News - An argument over a Pop-Tart led to one death and one arrest. (27:43)
Jordan in East Hartford went on an amazing first date and really felt like it was something special! But he got ghosted... we're getting him answers!
A pit bull attacks and kills a one-year-old in East Hartford
A pit bull attacks and kills a one-year-old in East Hartford
Have you ever pondered how the soil of our childhood shapes the essence of who we become? Ace and Yella certainly have, and they're here to unravel tales from their East Hartford roots, juxtaposing the journey with the cultural backdrop of Hartford. Our lively discussion meanders through the stereotypes and truths of locality, challenging the notion that geography is destiny. These narratives are more than just a recounting of the past; they are a vibrant exploration of identity, community, and the underdog spirit that resonates with places far beyond Connecticut's borders.Fatherhood, the art of co-parenting, and the quest for personal integrity take the stage as we navigate the often turbulent waters of relationships. Our guests openly recount their transformations from passionate partners to dedicated co-parents, imparting wisdom gleaned from their own paternal figures. Intimacy and trust come under the microscope as we dissect the realities of staying true in monogamous relationships, the trials of infidelity, and the pursuit of peaceful coexistence with our significant others. These stories do more than just outline the contours of modern love; they serve as a beacon, guiding us through the complexities of partnership and personal growth.And what of ambition in the midst of life's relentless hustle? A strength coach turns entrepreneur shares his vision of vending machine ventures, blending the drive for business success with the unwavering commitment to his clients. As we delve into the fabric of family life, we examine the intricate weave of traditional and blended households, the role of parental figures, and the legacy we leave for our children. This episode isn't merely a conversation; it's an odyssey through the many layers of life's endeavors, from the heart of our homes to the horizons of our dreams. Join Ace, Yella, and me, as we traverse the rich landscape of the human condition.Support the showFollow our IG & Twitter for live updates @LFTGRadio
Happy New Year. January is time to go through all my old seeds, see what I need to replace and try some new varieties. This year let's keep our seed purchases local. There are vegetable and flower seed houses based in Connecticut offering a nice variety of seed to purchase. NE Seed in East Hartford has been around since 1987, but the family goes back many generations. They offer a wide variety of veggie seeds, including a nice selection of heirloom and hybrid tomatoes, and organic seed. They're geared towards larger sized growers and sell seed on line by the half ounce. John Scheepers Kitchen Garden Seeds in Bantam also offers a wide variety of veggies and flowers and are more geared to the small scale, home gardener. I particularly like their salad greens with many unusual selections such as dandelion greens and mache. They sell seed packets on-line. Chas Hart Seed has been selling seed wholesale since 1892 in Wethersfield. You mostly see their seeds on seed racks around the state. But they also offer seeds on-line in their catalog and sell seed by the quarter ounce. If you're looking for lots of classic varieties, this company is the place to go. Finally, Select Seeds in Union, Connecticut is all about flowers. They offer annual and perennial organic seeds and themed seed collections such as for pollinators, edible gardens, fragrance and containers. They sell seed in packets online and in stores. Although not all the seed offered in these catalogs is grown and sourced in New England, but purchasing seed from these companies supports the local economy.See omnystudio.com/listener for privacy information.
The GameTimeCT Pick'Em podcast and board has returned for Week 11 of the 2023 football season. THE RUNDOWN 0:00 - 2:34 — Opener 2:35 - 4:15 — Conard (1-8) at Hall (6-3) 4:16 - 5:20 — ATI (7-1) at Bullard Havens (7-2) 5:20 - 6:07 — Waterford (2-6) at Weaver (1-7) 6:08 - 7:19 — Granby/Canton (8-1) at SMSA co-op (8-1) 7:20 - 8:47 — Fairfield Prep (2-6) at Notre Dame-West Haven (2-6) 8:48 - 10:08 — Manchester (6-2) at East Hartford (4-5) 10:09 - 11:47 — New Fairfield (3-5) at Windham (6-2) 11:48 - 14:04 — Daniel Hand (7-1) at Sheehan (5-3) 14:05 - 15:29 — Bloomfield (8-0) at Windsor (8-1) 15:30 - 17:34 — Shelton (7-2) at Wilton (7-2) 17:35 - 19:06 — Wrap Learn more about your ad choices. Visit megaphone.fm/adchoices
Ever had a night out that left you with a torn bag of food and a bad taste in your mouth? Let us break down our haphazard experience with Chef Walt's LLC, a Caribbean spot in East Hartford. Then we'll cleanse your palate with our delectable encounters at Haven Hot Chicken and Village Pizza. Feeling curious about whether men and women can be platonic friends? We grapple with this age-old question, examining the intriguing dynamics and complex emotions that often come into play. We also discuss the concept of 'energy matching' in friendships and how to navigate sticky emotional situations. We even touch on the cultural implications of body modification trends and online dating.And then, there's the hot topic of gender identity. Join our debate as we delve into Connecticut's restroom choice policy which is not determined by birth gender, the provision of hormone blockers for kids, and more. We wrap things up with some speculation on the Dominican Republic's realities and conspiracy theories, because why not? We promise you an interesting ride through controversial discussions, food reviews, and friendship dilemmas. So, why not grab a drink, sit back, and enjoy the show with us?Support the showFollow our IG & Twitter for live updates @LFTGRadio
Connecticut's industrial manufacturers were huge contributors to military success in World War Two. From half the aircraft engines used in the war (made by Pratt & Whitney in East Hartford) to submarines (Electric Boat, Groton), a large percentage of the billions of bullets used and guns for soldiers (Remington Arms, Bridgeport), and large and small items: “G-force” suits to allow pilots to maneuver their planes without losing consciousness, radar advancements, parachutes, rubber boots, ball bearings, air compressors for torpedoes, and periscopes. Hear the impressive story from Sharon Cohen, who has written a book that documents these fascinating contributions.
The FC crew react to Sheikh Jassim withdrawing his bid for Manchester United. Rob Dawson joins the show to explain why the bid is being pulled and what it means for the future of the Red Devils. Plus, Don Hutchison gives out his Way Too Early PL Season Awards and Kasey Keller helps break down the USMNT's disappointing loss to Germany in East Hartford. Learn more about your ad choices. Visit megaphone.fm/adchoices
The big news this week is that Nicky Soup & Sambuca is back on the show, just in time to celebrate FC Cincinnati's first trophy. But there's also a USMNT game, so the boys get into the roster and what we want to see lined up against Germany in East Hartford. There's some more MLS talk (Galaxy are trash) and the crew debates the quality of Kirkland Signature products. Check out Jason's new interview show on YouTube, "One Shot On Frame". Already posted are clips with Herculez Gomez, Alexi Lalas, and Taylor Rockwell. Make sure you subscribe to the YouTube channel to get the video version of the show. We just hit 2k subscribers! Thanks for your support! Please spread the word any way you can. https://www.youtube.com/@TheBestSoccerShow/ Get some BSS gear. Make Nicky a happy boy. WE GOT HOODIES FOR YOUR FALL FASHION LOOKS. Be stylish. Rep the OG American soccer podcast. Subscribe and Review the Podcast! We really want to spread the word about the show and the only way to do that is through reviews and word of mouth. Tell a friend about The Best Soccer Show. Tell us your favorite Kirkland brand product in the review. Apple Podcasts: The Best Soccer Show on Apple Podcasts Get top analysis into American soccer from in-market experts and support the show at the same time by signing up for Backheeled Insights at our link. Signing up directly helps the show. Follow us! Twitter Instagram Facebook Twitch
After a rough showing in the Alliance's first week, the FCIAC roared back with three Top 10 Alliance victories in Week 3, including No. 1 Greenwich's thrilling 30-28 win over No. 3 Maloney, unranked Staples' 34-27 takedown of No. 2 Southington, and New Canaan's reaffirming 33-12 win over No. 10 Windsor. Though Newtown dampened league spirits when it rallied to beat Trumbull, Darien stifled Fairfield Prep and Ludlowe rolled past Hamden (or so we heard) to keep the good times rolling in Fairfield County. Meanwhile, Bloomfield made a bold mission statement with a 24-point comeback victory over No. 9 Masuk. Join GameTimeCT's Sean Patrick Bowley and Pete Paguaga as they — once again — sift through the wreckage of the week that was, including two programs that snapped long losing streaks and two programs lighting up the scoreboard. One of them involves this week's special guest star: Morgan/Saybrook/Westbrook coach KEVIN SULLIVAN, whose new co-op of former rivals leads the state in points scored and is 3-0 going into a huge test vs. Cromwell/Portland (2-0). Join us, won't you? RUNDOWN 0:00 — Opener and Opening Salvos 4:18 — Perino's FG lifts No. 1 Greenwich past Maloney in classic 15:27 — The Latest Top 10 Poll (rankings 1-4) 18:16 — No. 5 Newtown rallies to stay unbeaten 20:21 — Latest Top 10 Poll (rankings 6-9): Staples rallies past No. 2 Southington 22:43 — Return of the FCIAC, New Canaan roars past No. 10 Windsor 32:45 — Bloomfield bests No. 9 Masuk in wild shootout. 39:57 — Darien drops Fairfield Prep to 0-3. 45:51 — Ludlowe overwhelms Hamden, but how?? 46:14 — Wrapping up Week 4: Berlin, Manchester win; Bethel, Derby snap losing streaks 50:43 — Roberts, East Hartford lighting up scoreboard 52:13 — Alliance Scoreboard 54:27 — Interview with MSW Co-Op's KEVIN SULLIVAN 1:10:21 — Week 4 look ahead Learn more about your ad choices. Visit megaphone.fm/adchoices
e-cycling! Mayor Mike of East Hartford, Matt Service of EOSI, Tony President of TAB, DVD Player on Laptop, VLC Player, Apple Update how do a force the update, NYPD Drones looking at your party.
Locked On Wolfpack - Daily Podcast On North Carolina State Football & Basketball
NC State kicks off the 2023 Season with a 24-14 Win on the road in East Hartford, CT. We give our initial off the cuff reactions to what went right, what went wrong, and moments that stood out to us, after the dust settled. Also: Fan Friday! (Postgame edition) Addressing some mid-game responses from our followers on Twitter. Support Us By Supporting Our Sponsors! Athletic Brewing Go to AthleticBrewing.com and enter code LOCKEDON to get 15% off your first online order or find a store near you! Athletic Brewing. Milford, CT and San Diego, CA. Near Beer. Betterhelp This podcast is sponsored by BetterHelp.If you're thinking of starting therapy, give BetterHelp a try. Visit BetterHelp.com/lockedoncollege today to get 10% off your first month. Gametime Download the Gametime app, create an account, and use code LOCKEDONCOLLEGE for $20 off your first purchase. LinkedIn LinkedIn Jobs helps you find the qualified candidates you want to talk to, faster. Post your job for free at LinkedIn.com/LOCKEDONCOLLEGE. Terms and conditions apply. eBay Motors For parts that fit, head to eBay Motors and look for the green check. Stay in the game with eBay Guaranteed Fit. eBay Motors dot com. Let's ride. eBay Guaranteed Fit only available to US customers. Eligible items only. Exclusions apply. FanDuel Make Every Moment More. Right now, NEW customers can bet FIVE DOLLARS and get TWO HUNDRED in BONUS BETS – GUARANTEED. Visit FanDuel.com/LOCKEDON to get started. FANDUEL DISCLAIMER: 21+ in select states. First online real money wager only. Bonus issued as nonwithdrawable free bets that expires in 14 days. Restrictions apply. See terms at sportsbook.fanduel.com. Gambling Problem? Call 1-800-GAMBLER or visit FanDuel.com/RG (CO, IA, MD, MI, NJ, PA, IL, VA, WV), 1-800-NEXT-STEP or text NEXTSTEP to 53342 (AZ), 1-888-789-7777 or visit ccpg.org/chat (CT), 1-800-9-WITH-IT (IN), 1-800-522-4700 (WY, KS) or visit ksgamblinghelp.com (KS), 1-877-770-STOP (LA), 1-877-8-HOPENY or text HOPENY (467369) (NY), TN REDLINE 1-800-889-9789 (TN) Learn more about your ad choices. Visit podcastchoices.com/adchoices
Locked On Wolfpack - Daily Podcast On North Carolina State Football & Basketball
NC State kicks off the 2023 Season with a 24-14 Win on the road in East Hartford, CT. We give our initial off the cuff reactions to what went right, what went wrong, and moments that stood out to us, after the dust settled.Also: Fan Friday! (Postgame edition) Addressing some mid-game responses from our followers on Twitter.Support Us By Supporting Our Sponsors!Athletic BrewingGo to AthleticBrewing.com and enter code LOCKEDON to get 15% off your first online order or find a store near you! Athletic Brewing. Milford, CT and San Diego, CA. Near Beer.BetterhelpThis podcast is sponsored by BetterHelp.If you're thinking of starting therapy, give BetterHelp a try. Visit BetterHelp.com/lockedoncollege today to get 10% off your first month.GametimeDownload the Gametime app, create an account, and use code LOCKEDONCOLLEGE for $20 off your first purchase.LinkedInLinkedIn Jobs helps you find the qualified candidates you want to talk to, faster. Post your job for free at LinkedIn.com/LOCKEDONCOLLEGE. Terms and conditions apply.eBay MotorsFor parts that fit, head to eBay Motors and look for the green check. Stay in the game with eBay Guaranteed Fit. eBay Motors dot com. Let's ride. eBay Guaranteed Fit only available to US customers. Eligible items only. Exclusions apply.FanDuelMake Every Moment More. Right now, NEW customers can bet FIVE DOLLARS and get TWO HUNDRED in BONUS BETS – GUARANTEED. Visit FanDuel.com/LOCKEDON to get started.FANDUEL DISCLAIMER: 21+ in select states. First online real money wager only. Bonus issued as nonwithdrawable free bets that expires in 14 days. Restrictions apply. See terms at sportsbook.fanduel.com. Gambling Problem? Call 1-800-GAMBLER or visit FanDuel.com/RG (CO, IA, MD, MI, NJ, PA, IL, VA, WV), 1-800-NEXT-STEP or text NEXTSTEP to 53342 (AZ), 1-888-789-7777 or visit ccpg.org/chat (CT), 1-800-9-WITH-IT (IN), 1-800-522-4700 (WY, KS) or visit ksgamblinghelp.com (KS), 1-877-770-STOP (LA), 1-877-8-HOPENY or text HOPENY (467369) (NY), TN REDLINE 1-800-889-9789 (TN) Learn more about your ad choices. Visit podcastchoices.com/adchoices
Extreme heat can leave us feeling exhausted after doing the most basic activities of daily living like getting groceries or commuting to work. Low air quality can leave many with sore throats and runny eyes. And researchers say the health side effects can be much more dire, worsening respiratory and cardiac health. Today, we explore the real health impacts of climate change and how you should prepare. New research is showing that climate change isn't just impacting our physical health, but our mental health as well. Many young people struggle with eco-anxiety or climate anxiety; this is “broadly defined as negative cognitive, emotional, and behavioral responses associated with concerns about climate change.” Each community in Connecticut is being impacted by climate change in unique ways. How is climate change impacting you, where you live? GUESTS: Anne Hulick: Connecticut Director, Clean Water Action State Senator Saud Anwar: 3rd State Senate District representing East Hartford, East Windsor, Ellington and South Windsor Dr. Joshua Wortzel: chair of the American Psychiatric Association's committee on climate change and mental health Support the show: http://wnpr.org/donateSee omnystudio.com/listener for privacy information.
Over 50% of LGBTQIA-plus people have experienced some form of healthcare discrimination and over 25% of transgender people reported being denied care due to their transgender status. Not having proper health care or avoiding health care due to discrimination, can result in dire consequences, including an increased risk of health problems like kidney disease. What is this discrimination, and how can you advocate for yourself and LGBTQIA+ rights? In today's episode Dr. Joshua Wilder, a podiatrist, and Representative Jeff Currey, two kidney transplant recipients and members of the LGBTQIA+ community, discuss this and more. On today's episode we heard from: Dr. Joshua J. Wilder- My name is Joshua Wilder and I am a 35 year old foot and ankle surgeon. I identify as a cis, gay, black, man who currently lives in Atlanta, GA. I am a native of Pittsburgh, PA with an upbringing in Cincinnati, OH. I was born with Prune Belly syndrome which required me to have a kidney transplant at 9 years old. I was on season 44 of the grammy-nominated, reality tv show Survivor 44. My favorite pastime is living life to the fullest. Rep. Jeff Currey- A lifelong resident of East Hartford by way of County Limerick, and a proud son, brother, and uncle, is currently serving a fifth term representing the 11th Assembly District, which is made up of parts of East Hartford and Manchester. Jeff, a former Deputy Majority Leader who chaired the Screening Committee on behalf of Majority Leader Rojas, currently serves on the Appropriations, Commerce, and Judiciary Committees. Starting in the 2023 legislative session, Jeff shifted leadership roles to take on the House Chair of the Education Committee, which he has served on since joining the legislature in 2015. Jeff has also worked tirelessly to bolster protections for living organ donors. As a kidney transplant recipient himself, Jeff introduced legislation in 2020 and 2021 to prohibit insurers from discriminating against living organ donors. Additional Resources: Pride Month Blog Article Do you have comments, questions, or suggestions? Email us at NKFpodcast@kidney.org. Also, make sure to rate and review us wherever you listen to podcasts.
Legend says that a Bigfoot can grow up to 15 feet… but they usually just have two… Today we are discussing the Gasquatch in Idabel, Oklahoma. For a Bigfoot sighting right from the road, head to Gasquatch in Idabel. Featuring one of the world's tallest statues of this legendary creature, Gasquatch is not your average highway stop. While you can fuel up and grab some of the best burgers and chicken-fried steak around, you can also view a collection of vintage cars and pickup souvenirs at this stop. Order up a burger or your favorite diner foods from The Cave Cafe, then take a stroll through the on-site Phila Elite Car Collection Museum. Featuring approximately 15 vintage vehicles and a collection of old neon signs, you won't want to miss the muscle cars on exhibit. Pick up everything from souvenir t-shirts and stickers to stuffed animals and glassware in the Gasquatch gift shop. This Idabel pit stop is one you don't want to miss. Discover flower power in Idabel, Oklahoma, the "Dogwood Capital of Oklahoma", where springtime tours showcase the area's champion blooming dogwood trees. See Native arts from Oklahoma and all over the world at the Museum of the Red River, where visitors can also view a dinosaur skeleton discovered in the area. Birders flock to the Red Slough Wildlife Management Area, containing almost 6,000 acres of marshes and wetlands with nearly 300 species of birds, including the rare white ibis and wood stork. Redbone Indian Tacos is a food truck based in Medicine Park, OK serving up Indian tacos, buffalo wings, and more. Available for events and catering. News Story from the Daily Oklahoman Pratt & Whitney is an American aerospace manufacturer with global service operations. It is a subsidiary of Raytheon Technologies. Pratt & Whitney's aircraft engines are widely used in both civil aviation and military aviation. Its headquarters are in East Hartford, Connecticut. Tinker Air Force Base is a major United States Air Force base, with tenant U.S. Navy and other Department of Defense missions, located in Oklahoma County, Oklahoma, surrounded by Del City, Oklahoma City, and Midwest City. Subscribe to the Only in OK Show. #TravelOK #onlyinokshow #Oklahoma #MadeinOklahoma #oklaproud #podcast #okherewego #traveloklahoma
East Hartford, CT Artist Breeze Dollaz stops by The DJ Meat Podcast while in Miami. We discuss his latest project & more! Check it out!
In Episode 153, Chief Todd LeDuc (Ret) and I have a discussion with East Hartford, CT IAFF Local 1548 Presiden Brian Gunnoud. We discuss union leadership, the IAFF Health Trust, Behavioral Health, Life Scan physicals, and much more …
With two months left in the legislative session it's a vital time for teachers to be having conversations with their lawmakers. In this episode, CEA President Kate Dias and Vice President Joslynn DeLancey talk with the co-chairs of CEA's Legislative Commission, Milford teacher Kellie Choquette and East Hartford teacher Kim Knapp, about CEA's legislative priorities and how members can best share their stories with legislators.
It's almost a full house to kick off the new year! Pete is back with Kevin and Andrew, though he does show up a bit late. That's ok because Kevin and Andrew dive right into the beautiful waters of the Sicilian coast and discuss White Lotus. Kevin didn't love the first season and Andrew bunged both seasons back to back, so see how their opinions compare! Next up they talk about the menu. In a rare event, Kevin actually believes he sees the deeper meaning in the film rather than taking it at face value. Our little man is growing up! Because this show is slowly and accidentally becoming a horror film podcast, Andrew brings up Paranormal Activity which he has never watched. This jumps into a comparison to films like The Conjuring and how the on screen visuals affect different people. This then rolls into Andrews review of M3gan, the new AI horror flick. The discussion of the takeover of AI gets a little deeper than our fellas are used to, so buckle up. Kevin then gets in his wayback machine and talks about watching the original G1 Transformers cartoon with his son. As it turns out, the show might actually be really bad… That's ok, though. It's all about bonding! This does lead Kevin to talk about his trip to Comics and Collectibles ETC. in East Hartford, CT (that's right, an unsolicited plug!!!) Kevin and Pete get back on track and give a quick rundown of Glass Onion. They work hard to not spoil anything for Andrew, but they did enjoy it. The cast was great and there were some really fun moments in this one! Andrew also takes a minute to talk about Avatar 2 without spoiling anything for Kevin and Pete. Oh how the tables have turned!! Pete then breaks down his recent watches which include Inventing Anna and Shameless. He doesn't spend a long time on either one, but there's a general feeling that he enjoyed Shameless more. He does recommend Inventing Anna as a binge, though. As always, thank you for watching this week! It was great to be back at the mic. We hope you enjoyed the show this week and, if you did, leave us a comment and let us know. If you miss Andy, you probably need help, but you can tell us that, too. Don't forget to like and subscribe if you haven't already and share us with a friend. We definitely swing that way, whatever way it is. Have a great week!
There's really no way to avoid the obvious: Early-onset Alzheimer's disease is a scary condition. The causes are somewhat mysterious, results of treatments are mixed, and there is no cure. A diagnosis will impact everybody who it touches - logistically, financially, psychologically, and emotionally. Today, you're going to meet a man living alone with early onset, and a husband and wife team who are doing everything they can to make sure the husband is cared for. And you'll get some helpful things to keep in mind from a dementia-care education specialist. 1-800-272-3900 is The Alzheimer's Association's helpline. It is open 24/7. GUESTS: Teepa Snow: A dementia-care education specialist with a background in occupational therapy and close to 40 years of clinical practice, using a "positive approach to care" Brian Van Buren: Started experiencing memory issues when he was 50, but wasn't formally diagnosed with early-onset Alzheimer's until age 64. He was a 2017 member of the National Alzheimer's Association early onset advisory group, and is a member of the Dementia Action Alliance Advisory Board to bring awareness to people of color and the LGBTQIA+ community Marva and Tyrone Patterson: Pastors at Rescue Temple in East Hartford. Tyrone began experiencing symptoms of early-onset Alzheimer's in January of 2021 Support the show: https://www.wnpr.org/donateSee omnystudio.com/listener for privacy information.
In the tight-knit Connecticut town where she lived, everyone knew where to find 21-year-old Lucy Carman--on the front stoop, sitting and waving at passersby. Until one day, Lucy vanishes. A search ensues, a body is found -- but could the most likely suspect be innocent? See omnystudio.com/listener for privacy information.
Locked On Boston College - Daily Podcast On Boston College Eagles Football & Basketball
Boston College heads to East Hartford on Saturday to face the UConn Huskies. On today's show we give a preview and prediction of a suddenly closer than expected outcome. The Eagles are struggling, while UConn have exceeded expectations and a win could be huge for the Huskies. We are joined by Eagle Insider staff writer Mitch Wolfe to look at the matchups, and break down if this game really should be on upset alert. Hear our thoughts and predictions, along with some picks against the spread for this weekend around college football. Support Us By Supporting Our Sponsors! SweatBlock If you or someone you love is experiencing embarrassing sweat or odor try Sweatblock. Save 20% with promo codeLocked On at sweatblock.com. Also available on Amazon. LinkedIn LinkedIn jobs helps you find the candidates you want to talk to, faster. Post your job for free at Linkedin.com/lockedoncollege Terms and conditions apply. Built Bar Built Bar is a protein bar that tastes like a candy bar. Go to builtbar.com and use promo code “LOCKEDON15,” and you'll get 15% off your next order. BetOnline BetOnline.net has you covered this season with more props, odds and lines than ever before. BetOnline – Where The Game Starts! Underdog Fantasy Sign up on underdogfantasy.com with the promo code LOCKED ON and get your first deposit doubled up to $100! SimpliSafe With Fast Protect™️ Technology, exclusively from SimpliSafe, 24/7 monitoring agents capture evidence to accurately verify a threat for faster police response. There's No Safe Like SimpliSafe. Visit SimpliSafe.com/LockedOnCollege to learn more. Learn more about your ad choices. Visit podcastchoices.com/adchoices
Locked On Boston College - Daily Podcast On Boston College Eagles Football & Basketball
Boston College heads to East Hartford on Saturday to face the UConn Huskies. On today's show we give a preview and prediction of a suddenly closer than expected outcome. The Eagles are struggling, while UConn have exceeded expectations and a win could be huge for the Huskies. We are joined by Eagle Insider staff writer Mitch Wolfe to look at the matchups, and break down if this game really should be on upset alert. Hear our thoughts and predictions, along with some picks against the spread for this weekend around college football.Support Us By Supporting Our Sponsors!SweatBlockIf you or someone you love is experiencing embarrassing sweat or odor try Sweatblock. Save 20% with promo codeLocked On at sweatblock.com. Also available on Amazon.LinkedInLinkedIn jobs helps you find the candidates you want to talk to, faster. Post your job for free at Linkedin.com/lockedoncollege Terms and conditions apply.Built BarBuilt Bar is a protein bar that tastes like a candy bar. Go to builtbar.com and use promo code “LOCKEDON15,” and you'll get 15% off your next order.BetOnlineBetOnline.net has you covered this season with more props, odds and lines than ever before. BetOnline – Where The Game Starts!Underdog FantasySign up on underdogfantasy.com with the promo code LOCKED ON and get your first deposit doubled up to $100!SimpliSafeWith Fast Protect™️ Technology, exclusively from SimpliSafe, 24/7 monitoring agents capture evidence to accurately verify a threat for faster police response. There's No Safe Like SimpliSafe. Visit SimpliSafe.com/LockedOnCollege to learn more. Learn more about your ad choices. Visit podcastchoices.com/adchoices
Locked On Boston College - Daily Podcast On Boston College Eagles Football & Basketball
All the talk right now is a potential upset in East Hartford this weekend. Jim Mora Jr.'s squad could jump the Eagles and grab a program changing win against BC. But BC may still have enough to prevent a huge program breaking loss. On today's show we look at three players who need to have a good game against UConn. Two on offense, and one on defense. Support Us By Supporting Our Sponsors! SweatBlock If you or someone you love is experiencing embarrassing sweat or odor try Sweatblock. Save 20% with promo codeLocked On at sweatblock.com. Also available on Amazon. LinkedIn LinkedIn jobs helps you find the candidates you want to talk to, faster. Post your job for free at Linkedin.com/lockedoncollege Terms and conditions apply. Built Bar Built Bar is a protein bar that tastes like a candy bar. Go to builtbar.com and use promo code “LOCKEDON15,” and you'll get 15% off your next order. BetOnline BetOnline.net has you covered this season with more props, odds and lines than ever before. BetOnline – Where The Game Starts! Underdog Fantasy Sign up on underdogfantasy.com with the promo code LOCKED ON and get your first deposit doubled up to $100! SimpliSafe With Fast Protect™️ Technology, exclusively from SimpliSafe, 24/7 monitoring agents capture evidence to accurately verify a threat for faster police response. There's No Safe Like SimpliSafe. Visit SimpliSafe.com/LockedOnCollege to learn more. Learn more about your ad choices. Visit podcastchoices.com/adchoices
Locked On Boston College - Daily Podcast On Boston College Eagles Football & Basketball
All the talk right now is a potential upset in East Hartford this weekend. Jim Mora Jr.'s squad could jump the Eagles and grab a program changing win against BC. But BC may still have enough to prevent a huge program breaking loss. On today's show we look at three players who need to have a good game against UConn. Two on offense, and one on defense.Support Us By Supporting Our Sponsors!SweatBlockIf you or someone you love is experiencing embarrassing sweat or odor try Sweatblock. Save 20% with promo codeLocked On at sweatblock.com. Also available on Amazon.LinkedInLinkedIn jobs helps you find the candidates you want to talk to, faster. Post your job for free at Linkedin.com/lockedoncollege Terms and conditions apply.Built BarBuilt Bar is a protein bar that tastes like a candy bar. Go to builtbar.com and use promo code “LOCKEDON15,” and you'll get 15% off your next order.BetOnlineBetOnline.net has you covered this season with more props, odds and lines than ever before. BetOnline – Where The Game Starts!Underdog FantasySign up on underdogfantasy.com with the promo code LOCKED ON and get your first deposit doubled up to $100!SimpliSafeWith Fast Protect™️ Technology, exclusively from SimpliSafe, 24/7 monitoring agents capture evidence to accurately verify a threat for faster police response. There's No Safe Like SimpliSafe. Visit SimpliSafe.com/LockedOnCollege to learn more. Learn more about your ad choices. Visit podcastchoices.com/adchoices
Hear the latest "Minutes with Mute" as Mike Gualtieri and Scott Mutryn of Learfield break down the BC's loss to Wake Forest. We look at went right and wrong down in Winston Salem. Plus, we examine what the Eagles have to do to get the W this Saturday in East Hartford playing UConn. All that and more, to advertise on future podcasts, just email mike@lightscamerasports.com
Welcome back to another edition of The Meat Grinder, your weekly inside look at high school football in Connecticut with GameTimeCT's Pete Paguaga and Sean Patrick Bowley. It was the Weekend of the Living Dead, in which a bunch of teams across the state got an early Halloween scare. Pete and SPB talk all about the great NVL showcase game won by Holy Cross rallying past Naugatuck on Thursday, plus East Hartford and Newington scares vs. No. 1 Southington and No. 3 Maloney, respectively. SPB also breaks down his trip to Granby Memorial for Cromwell/Portland's 14-7 victory and, his hectic Prep school Saturday, capped by the insane Avon Old Farms comeback that fell one agonizing point short against Choate in Saturday's NEPSAC showdown. Joining us for a chat this week is Killingly's 18-year head coach Chad Neal, who enjoyed a nice weekend off, but now gets back to business as he and his players get ready for a showdown with unbeaten Windham on Friday night. Coach Neal discusses this year's No. 4-ranked squad, and what it took to get his program playing at a championship level after a good 10-year struggle.
Augmented reveals the stories behind the new era of industrial operations, where technology will restore the agility of frontline workers. The topic is Industrial AI. Our guest is Professor Jay Lee, the Ohio Eminent Scholar, the L.W. Scott Alter Chair Professor in Advanced Manufacturing, and the Founding Director of the Industrial AI Center at the University of Cincinnati (https://www.iaicenter.com/). In this conversation, we talk about how AI does many things but to be applicable; the industry needs it to work every time, which puts additional constraints on what can be done by when. If you liked this show, subscribe at augmentedpodcast.co (https://www.augmentedpodcast.co/). If you liked this episode, you might also like Episode 81: From Predictive to Diagnostic Manufacturing Augmentation (https://www.augmentedpodcast.co/81). Augmented is a podcast for industry leaders, process engineers, and shop floor operators, hosted by futurist Trond Arne Undheim (https://trondundheim.com/) and presented by Tulip (https://tulip.co/). Follow the podcast on Twitter (https://twitter.com/AugmentedPod) or LinkedIn (https://www.linkedin.com/company/75424477/). Trond's Takeaway: Industrial AI is a breakthrough that will take a while to mature. It implies discipline, not just algorithms. In fact, it entails a systems architecture consisting of data, algorithm, platform, and operation. Transcript: TROND: Welcome to another episode of the Augmented Podcast. Augmented brings industrial conversations that matter, serving up the most relevant conversations on industrial tech. Our vision is a world where technology will restore the agility of frontline workers. In this episode of the podcast, the topic is Industrial AI. Our guest is Professor Jay Lee, the Ohio Eminent Scholar, and the L.W. Scott Alter Chair Professor in Advanced Manufacturing, and the Founding Director of the Industrial AI Center at the University of Cincinnati. In this conversation, we talk about how AI does many things but to be applicable, industry needs it to work every time, which puts on additional constraints on what can be done by when. Augmented is a podcast for industrial leaders, process engineers, and shop floor operators hosted by futurist Trond Arne Undheim and presented by Tulip. Jay, it's a pleasure to have you here. How are you today? JAY: Good. Thank you for inviting me to have a good discussion about industrial AI. TROND: Yeah, I think it will be a good discussion. Look, Jay, you are such an accomplished person, both in terms of your academics and your industrial credentials. I wanted to quickly just go through where you got to where you are because I think, especially in your case, it's really relevant to the kinds of findings and the kinds of exploration that you're now doing. You started out as an engineer. You have a dual degree. You have a master's in industrial management also. And then you had a career in industry, worked at real factories, GM factories, Otis elevators, and even on Sikorsky helicopters. You had that background, and then you went on to do a bunch of different NSF grants. You got yourself; I don't know, probably before that time, a Ph.D. in mechanical engineering from Columbia. The rest of your career, and you correct me, but you've been doing this mix of really serious industrial work combined with academics. And you've gone a little bit back and forth. Tell me a little bit about what went into your mind as you were entering the manufacturing topics and you started working in factories. Why have you oscillated so much between industry and practice? And tell me really this journey; give me a little bit of specifics on what brought you on this journey and where you are today. JAY: Well, thank you for talking about this career because I cut my teeth from the factory early years. And so, I learned a lot of fundamental things in early years of automation. In the early 1980s, in the U.S, it was a tough time trying to compete with the Japanese automotive industry. So, of course, the Big Three in Detroit certainly took a big giant step, tried to implement a very good manufacturing automation system. So I was working for Robotics Vision System at that time in New York, in Hauppage, New York, Long Island. And shortly, later on, it was invested by General Motors. And in the meantime, I was studying part-time in Columbia for my mechanical engineering, Doctor of Engineering. And, of course, later on, I transferred to George Washington because I had to make a career move. So I finished my Ph.D. Doctor of Science in George Washington later. But the reason we stopped working on that is because of the shortage of knowledge in making automation work in the factory. So I was working full-time trying to implement the robots automation in a factory. In the meantime, I also found a lack of knowledge on how to make a robot work and not just how to make a robot move. Making it move means you can program; you can do very fancy motion. But that's not what factories want. What factories really want is a non-stop working system so they can help people to accomplish the job. So the safety, and the certainty, the accuracy, precision, maintenance, all those things combined together become a headache actually. You have to calibrate the robot all the time. You have to reprogram them. So eventually, I was teaching part-time in Stony Brook also later on how to do the robotic stuff. And I think that was the early part of my career. And most of the time I spent in factory and still in between the part-time study and part-time working. But later on, I got a chance to move to Washington, D.C. I was working for U.S. Postal Service headquarters as Program Director for automation. In 1988, post service started a big initiative trying to automate a 500 mil facility in the U.S. There are about 115 number one facilities which is like New York handled 8 million mail pieces per day at that time; you're talking about '88. But most are manual process, so packages. So we started developing the AI pattern recognition, hand-written zip code recognition, robotic postal handling, and things like that. So that was the opportunity that attracted me actually to move away from automotive to service industry. So it was interesting because you are working with top scientists from different universities, different companies to make that work. So that was the early stage of the work. Later on, of course, I had a chance to work with the National Science Foundation doing content administration in 1991. That gave me the opportunity to work with professors in universities, of course. So then, by working with them, I was working on a lot of centers like engineering research centers and also the Industry-University Cooperative Research Centers Program, and later on, the materials processing manufacturing programs. So 1990 was a big time for manufacturing in the United States. A lot of government money funded the manufacturer research, of course. And so we see great opportunity, like, for example, over the years, all the rapid prototyping started in 1990s. It took about 15-20 years before additive manufacturing came about. So NSF always looks 20 years ahead, which is a great culture, great intellectual driver. And also, they're open to the public in terms of the knowledge sharing and the talent and the education. So I think NSF has a good position to provide STEM education also to allow academics, professors to work with industry as well, not just purely academic work. So we support both sides. So that work actually allowed me to understand what is real status in research, in academics, also how far from real implementation. So in '95, I had the opportunity to work in Japan actually. I had an opportunity...NSF had a collaboration program with the MITI government in Japan. So I took the STA fellowship called science and technology fellow, STA, and to work in Japan for six months and to work with 55 organizations like Toyota, Komatsu, Nissan, FANUC, et cetera. So by working with them, then you also understand what the real technology level Japan was, Japanese companies were. So then you got calibration in terms of how much U.S. manufacturing? How much Japanese manufacturing? So that was in my head, actually. I had good weighting factors to see; hmm, what's going on here between these two countries? That was the time. So when I came back, I said, oh, there's something we have to do differently. So I started to get involved in a lot of other things. In 1998, I had the opportunity to work for United Technologies because UTC came to see me and said, "Jay, you should really apply what you know to real companies." So they brought me to work as a Director for Product Environment Manufacturing Department for UTRC, United Technology Research Center, in East Hartford. Obviously, UTC business included Pratt & Whitney jet engines, Sikorsky helicopters, Otis elevators, Carrier Air Conditioning systems, Hamilton Sundstrand, et cetera. So all the products they're worldwide, but the problem is you want to support global operations. You really need not just the knowledge, what you know, but also the physical usage, what you don't know. So you know, and you don't know. So how much you don't know about a product usage, that's how the data is supposed to be coming back. Unfortunately, back in 1999, I have to tell you; unfortunately, most of the product data never came back. By the time it got back, it is more like a repair overhaul recur every year to a year later. So that's not good. So in Japan, I was experimenting the first remote machine monitoring system using the internet actually in 1995. So I published a paper in '98 about how to remotely use physical machine and cyber machine together. In fact, I want to say that's the first digital twin but as a cyber-physical model together. That was in my paper in 1998 in Journal of Machine Tools and Manufacture. TROND: So, in fact, you were a precursor in so many of these fields. And it just strikes me that as you're going through your career here, there are certain pieces that you seem to have learned all along the way because when you are a career changer oscillating between public, private, semi-private, research, business, you obviously run the risk of being a dilettante in every field, but you seem to have picked up just enough to get on top of the next job with some insight that others didn't have. And then, when you feel like you're frustrated in that current role, you jump back or somewhere else to learn something new. It's fascinating to me because, obviously, your story is longer than this. You have startup companies with your students and others in this business and then, of course, now with the World Economic Forum Lighthouse factories and the work you've been doing for Foxconn as well. So I'm just curious. And then obviously, we'll get to industrial AI, which is so interesting in your perspective here because it's not just the technology of it; it is the industrial practice of this new domain that you have this very unique, practical experience of how a new technology needs to work. Well, you tell me, how did you get to industrial AI? Because you got there to, you know, over the last 15-20 years, you integrated all of this in a new academic perspective. JAY: Well, that's where we start. So like I said earlier, I realized industry we did not have data back in the late 1990s. And in 1999, dotcom collapsed, remember? TROND: Yes, yes. JAY: Yeah. So all the companies tried to say, "Well, we're e-business, e-business, e-commerce, e-commerce," then in 2000, it collapsed. But the reality is that people were talking about e-business, but in the real world, in industrial setting, there's no data almost. So I was thinking, I mean, it's time I need to think about how to look at data-centric perspectives, how to develop such a platform, and also analytics to support if one-day data comes with a worry-free kind of environment. So that's why I decided to transition to an academic career in the year 2000. So what I started thinking, in the beginning, was where has the most data? As we all know, the product lifecycle usage is out there. You have lots of data, but we're not collecting it. So eventually, I called a central Intelligent Maintenance System called IMS, not intelligent manufacturing system because maintenance has lots of usage data which most developers of a product don't know. But if we have a way to collect this data to analyze and predict, then we can guarantee the product uptime or the value creation, and then the customer will gain most of the value back. Now we can use the data feedback to close-loop design. That was the original thinking back in the year 2000, which at that time, no cell phone could connect to the internet. Of course, nobody believed you. So we used a term called near-zero downtime, near-zero downtime, ZDT. Nobody believed us. Intel was my first founding member. So I made a pitch to FANUC in 2001. Of course, they did not believe it either. Of course, FANUC in 2014 adopted ZDT, [laughs] ZDT as a product name. But as a joke, when I talked to the chairman, the CEO of the company in 2018 in Japan, Inaba-san that "Do you know first we present this ZDT to your company in Michigan? They didn't believe it. Now you guys adopted." "Oh, I didn't know you use it." So when he came to visit in 2019, they brought the gift. [laughs] So anyway, so what happened is during the year, so we worked with the study of 6 companies, 20 companies and eventually they became over 100 companies. And in 2005, I worked with Procter & Gamble and GE Aircraft Engine. They now became GE Aviation; then, they got a different environment. So machine learning became a typical thing you use every day, every program, but we don't really emphasize AI at that time. The reason is machine learning is just a tool. It's an algorithm like a support-vector machine, self-organizing map, and logistic regression. All those are just supervised learning or now supervised learning techniques. And people use it. We use it like standard work every day, but we don't talk about AI. But over the years, when you work with so many companies, then you realize the biggest turning point was Toyota 2005 and P&G in 2006. The reason I'm telling you 2005 is Toyota had big problems in the factory in Georgetown, Kentucky, where the Camry factory is located. So they had big compressor problems. So we implemented using machine learning, the support-vector machine, and also principal component analysis. And we enable that the surge of a compressor predicted and avoided and never happened. So until today -- TROND: So they have achieved zero downtime after that project, essentially. JAY: Yeah. So that really is the turning point. Of course, at P&G, the diaper line continues moving the high volume. They can predict things, reduce downtime to 1%. There's a lot of money. Diaper business that is like $10 billion per year. TROND: It's so interesting you focus on downtime, Jay, because obviously, in this hype, which we'll get to as well, people seem to focus so much on fully automated versus what you're saying, which is it doesn't really, you know, we will get to the automation part, but it is the downtime that's where a lot of the savings is obviously. Because whether it's a lights out or lights on, humans are not the real saving here. And the real accomplishment is in zero downtime because that is the industrialization factor. And that is what allows the system to keep operating. Of course, it has to do with automation, but it's not just that. Can you then walk us through what then became industrial AI for you? Because as I've now understood it, it is a highly specific term to you. It's not just some sort of fluffy idea of very, very advanced algorithms and robots running crazy around autonomously. You have very, very specific system elements. And they kind of have to work together in some architectural way before you're willing to call it an industrial AI because it may be a machine tool here, and a machine tool there, and some data here. But for you, unless it's put in place in a working architecture, you're not willing to call it, I mean, it may be an AI, but it is not an industrial AI. So how did this thinking then evolve for you? And what are the elements that you think are crucial for something that you even can start to call an industrial AI? Which you now have a book on, so you're the authority on the subject. JAY: Well, I think the real motivation was after you apply all the machine learning toolkits so long...and a company like National Instruments, NI, in Austin, Texas, they licensed our machine learning toolkits in 2015. And eventually, in 2017, they started using the embedding into LabVIEW version. So we started realizing, actually, the toolkit is very important, not just from the laboratory point of view but also from the production and practitioners' point of view from industry. Of course, researchers use it all the time for homework; I mean, that's fine. So eventually, I said...the question came to me about 2016 in one of our industry advisory board meeting. You have so many successes, but the successes that happen can you repeat? Can you repeat? Can you repeatably have the same success in many, many other sites? Repeatable, scalable, sustainable, that's the key three keywords. You cannot just have a one-time success and then just congratulate yourself and forget it, no. So eventually, we said, oh, to make that repeat sustainable, repeatable, you have a systematic discipline. TROND: I'm so glad you say this because I have taken part in a bunch of best practice schemes and sometimes very optimistically by either an industry association or even a government entity. And they say, "Oh yeah, let's just all go on a bunch of factory visits." Or if it's just an IT system, "Let's just all write down what we did, and then share it with other people." But in fact, it doesn't seem to me like it is that easy. It's not like if I just explain what I think I have learned; that's not something others can learn from. Can you explain to me what it really takes to make something replicable? Because you have done that or helped Foxconn do that, for example. And now you're obviously writing up case studies that are now shared in the World Economic Forum across companies. But there's something really granular but also something very systemic and structured about the way things have to be explained in order to actually make it repeatable. What is the sustainability factor that actually is possible to not just blue copy but turn it into something in your own factory? JAY: Well, I think that there are basically several things. The data is one thing. We call it the data technology, DT, and which means data quality evaluation. How do you understand what to use, what not to use? How do you know which data is useful? And how do you know where the data is usable? It doesn't mean useful data is usable, just like you have a blood donation donor, but the blood may not be usable if the donor has HIV. I like to use an analogy like food. You got a fish in your hand; wow, great. But you have to ask where the fish comes from. [chuckles] If it comes from polluted water, it's not edible, right? So great fish but not edible. TROND: So there's a data layer which has to be usable, and it has to be put somewhere and put to use. It actually then has to be used. It can't just be theoretically usable. JAY: So we have a lot of useful data people collect. The problem is people never realized lots of them are not usable because of a lack of a label. They have no background, and they're not normalized. So eventually, that is a problem. And even if you have a lot of data, it doesn't mean it is usable. TROND: So then I guess that's how you get to your second layer, which I guess most people just call machine learning, but for you, it's an algorithmic layer, which is where some of the structuring gets done and some of the machines that put an analysis on this, put in place automatic procedures. JAY: And machine learning to me it's like cooking ware like a kitchen. You got a pan fry; you got a steamer; you got the grill. Those are tools to cook the food, the data. Food is like data. Cooking ware is like AI. But it depends on purpose. For example, you want fish. What do you want to eat first? I want soup. There's a difference. Do you want to grill? Do you want to just deep fry? So depending on how you want to eat it, the cooking ware will be selected differently. TROND: Well, and that's super interesting because it's so easy to say, well, all these algorithms and stuff they're out there, and all you have to do is pick up some algorithms. But you're saying, especially in a factory, you can't just pick any tool. You have to really know what the effect would be if you start to...for example, on downtime, right? Because I'm imagining there are very many advanced techniques that could be super advanced, but they are perhaps not the right tool for the job, for the workers that are there. So how does that come into play? Are these sequential steps, by the way? So once you figure out what the data is then, you start to fiddle with your tools. JAY: Well, there are two perspectives; one perspective is predict and prevent. So you predict something is going to happen. You prevent it from happening, number one. Number two, understand the root causes and potential root causes. So that comes down to the visible and invisible perspective. So from the visible world, we know what to measure. For example, if you have high blood pressure, you measure blood pressure every day, but that may not be the reason for high blood pressure. It may be because of your DNA, maybe because of the food you eat, because of lack of exercise, because of many other things, right? TROND: Right. JAY: So if you keep measuring your blood pressure doesn't mean you have no heart attack. Okay, so if you don't understand the reason, measuring blood pressure is not a problem. So I'm saying that you know what you don't know. So we need to find out what you don't know. So the correlation of invisible, I call, visible-invisible. So I will predict, but you also want to know the invisible reason relationship so you can prevent that relationship from happening. So that is really called deep mining those invisibles. So we position ourselves very clearly between visible-invisible. A lot of people just say, "Oh, we know what the problem is." The problem is not a purpose. For example, the factory manufacturing there are several very strong purposes, number one quality, right? Worry-free quality. Number two, your efficiency, how much you produce per dollar. If you say that you have great quality, but I spent $10,000 to make it, it is very expensive. But if you spend $2 to make it, wow, that's great. How did you do it? So quality per dollar is a very different way of judging how good you are. You got A; I spent five days studying. I got A; I spent two hours studying. Now you show the capability difference. TROND: I agree. And then the third factor in your framework seems to be platform. And that's when I think a lot of companies go wrong as well because platform is...at least historically in manufacturing, you pick someone else's platform. You say I'm going to implement something. What's available on the market, and what can I afford, obviously? Or ideally, what's the state of the art? And I'll just do that because everyone seems to be doing that. What does platform mean to you, and what goes into this choice? If you're going to create this platform for industrial AI, what kind of a decision is that? JAY: So DT is data, AT is algorithm, and PT is platform, PT platform. Platform means some common things are used in a shared community. For example, kitchen is a platform. You can cook. I can cook. I can cook Chinese food. I can cook Italian food. I can cook Indian food. Same kitchen but different recipe, different seasoning, but same cooking ware. TROND: Correct. Well, because you have a good kitchen, right? JAY: Yes. TROND: So that's -- JAY: [laughs] TROND: Right? JAY: On the platform, you have the most frequently used tool, not everything. You don't need 100 cooking ware in your kitchen. You probably have ten or even five most daily used. TROND: Regardless of how many different cuisines you try to cook. JAY: Exactly. That's called the AI machine toolkit. So we often work with companies and say, "You don't need a lot of tools, come on. You don't need deep learning. You need a good logistic regression and support-vector machine, and you're done." TROND: Got it. JAY: Yeah, you don't need a big chainsaw to cut small bushes. You don't need it. TROND: Right. And that's a very different perspective from the IT world, where many times you want the biggest tool possible because you want to churn a lot of data fast, and you don't really know what you're looking for sometimes. So I guess the industrial context here really constrains you. It's a constraint-based environment. JAY: Yes. So industry, like I said, the industry we talked about three Ps like I said: problems, purposes, and processes. So normally, problem comes from...the main thing is logistic problems, machine, and factory problems, workforce problems, the quality problems, energy problem, ignition problem, safety problems. So the problem happens every day. That's why in factory world, we call it firefighting. Typically, you firefight every day. TROND: And is that your metaphor for the last part of your framework, which is actually operation? So operation sounds really nice and structured, right? JAY: [chuckles] Yes. TROND: As if that was like, yeah, that's the real thing, process. We got this. But in reality, it feels sometimes, to many who are operating a factory; it's a firefight. JAY: Sometimes the reason lean theme work, Six Sigma, you turn a problem into a process, five Ss process, okay? And fishbone diagram, Pareto chart, and Kaizen before and after. So all the process, SOP, so doesn't matter which year workforce comes in, they just repeat, repeat, repeat, repeat, repeat. So in Toyota, the term used to be called manufacturing is just about the discipline. It's what they said. The Japanese industry manufacturing is about discipline, how you follow a discipline to everyday standard way, sustainable way, consistent way, and then you make good products. This is how the old Toyota was talking about, old one. But today, they don't talk that anymore. Training discipline is only one thing; you need to understand the value of customers. TROND: Right. So there are some new things that have to be added to the lean practices, right? JAY: Yes. TROND: As time goes by. So talk to me then more about the digital element because industrial AI to you, clearly, there's a very clear digital element, but there's so many, many other things there. So I'm trying to summarize your framework. You have these four factors: data, algorithms, platforms, and operations. These four aspects of a system that is the challenge you are dealing with in any factory environment. And some of them have to do with digital these days, and others, I guess, really have to do more with people. So when that all comes together, do you have some examples? I don't know, we talked about Toyota, but I know you've worked with Foxconn and Komatsu or Siemens. Can you give me an example of how this framework of yours now becomes applied in a context? Where do people pick up these different elements, and how do they use them? JAY: There's a matrix thinking. So horizontal thinking is a common thing; you need to have good digital thread including DT, data technology, AT, algorithms or analytics, PT, platform, edge cloud, and the things, and OT operation like scheduling, optimizations, stuff like that. Now, you got verticals, quality vertical, cost vertical, efficiency verticals, safety verticals, emission verticals. So you cannot just talk about general. You got to have focus on verticals. For example, let me give you one example: quality verticals. Quality is I'm the factory manager. I care about quality. Yes, the customer will even care more, so they care. But you have a customer come to your shop once a month to check. You ask them, "Why you come?" "Oh, I need to see how good your production." "How about you don't have to come? You can see my entire quality." "Wow, how do I do that?" So eventually, we develop a stream of quality code, SOQ, Stream Of Quality. So it's not just about the product is good. I can go back to connect all the processes of the quality segment of each station. Connect them together. Just like you got a fish, oh, okay, the fish is great. But I wonder, when the fish came out of water, when the fish was in the truck, how long was it on the road? And how long was it before reaching my physical distribution center and to my home? So if I have a sensor, I can tell you all the temperature history inside the box. So when you get your fish, you take a look; oh, from the moment the fish came out of the boat until it reached my home, the temperature remained almost constant. Wow. Now you are worry-free. It's just one thing. So you connect together. So that's why we call SOQ, Stream Of Quality, like a river connected. So by the time a customer gets a quality product, they can trace back and say, "Wow, good. How about if I let you see it before you come? How about you don't come?" I say, "Oh, you know what? I like it." That's what this type of manufacturing is about. It just doesn't make you happy. You have to make the customer happy, worry-free. MID-ROLL AD: In the new book from Wiley, Augmented Lean: A Human-Centric Framework for Managing Frontline Operations, serial startup founder Dr. Natan Linder and futurist podcaster Dr. Trond Arne Undheim deliver an urgent and incisive exploration of when, how, and why to augment your workforce with technology, and how to do it in a way that scales, maintains innovation, and allows the organization to thrive. The key thing is to prioritize humans over machines. Here's what Klaus Schwab, Executive Chairman of the World Economic Forum, says about the book: "Augmented Lean is an important puzzle piece in the fourth industrial revolution." Find out more on www.augmentedlean.com and pick up the book in a bookstore near you. TROND: So, Jay, you took the words out of my mouth because I wanted to talk about the future. I'm imagining when you say worry-free, I mean, you're talking about a soon-to-be state of manufacturing. Or are you literally saying there are some factories, some of the excellence factories where you've won awards in the World Economic Forum or other places that are working towards this worry-free manufacturing, and to some extent, they have achieved it? Well, elaborate for me a little bit about the future outlook of manufacturing and especially this people issue because you know that I'm engaged...The podcast is called Augmented Podcast. I'm engaged in this debate about automation. Well, is there a discrepancy between automation and augmentation? And to what extent is this about people running the system? Or is it the machines that we should optimize to run all the system? For you, it's all about worry-free. First of all, just answer this question, is worry-free a future ideal, or is it actually here today if you just do the right things? JAY: Well, first of all, worry-free is our mindset where the level of satisfaction should be, right? TROND: Yep. JAY: So to make manufacturing happen is not about how to make good quality, how to make people physically have less worry, how to make customers less worry is what is. But the reason we have a problem with workforce today, I mean, we have a hard time to hire not just highly skilled workers but even regular workforce. Because for some reason, not just U.S., it seems everywhere right now has similar problems. People have more options these days to select other living means. They could be an Uber driver. [laughs] They could be...I don't know. So there are many options. You don't have to just go to the factory to make earnings. They can have a car and drive around Uber and Lyft or whatever. They can deliver the food and whatever. So they can do many other things. And so today, you want to make workforce work environment more attractive. You have to make sure that they understand, oh, this is something they can learn; they can grow. They are fulfilled because the environment gives them a lot of empowerment. The vibe, the environment gives them a wow, especially young people; when you attract them from college, they'd like a wow kind of environment, not just ooh, okay. [laughs] TROND: Yeah. Well, it's interesting you're saying this. I mean, we actually have a lack of workers. So it's not just we want to make factories full of machines; it's actually the machines are actually needed just because there are no workers to fill these jobs. But you're looking into a future where you do think that manufacturing is and will be an attractive place going forward. That seems to be that you have a positive vision of the future we're going into. You think this is attractive. It's interesting for workers. JAY: Yeah. See, I often say that there are some common horizontal we have to use all the day. Vertical is the purpose, quality. I talked about vertical quality first, quality. But what are the horizontal common? I go A, B, C, D, E, F. What's A? AI. B is big data. C is cyber and cloud. D is digital or digital twin, whatever. E is environment ecosystem and emission reduction. What's F? Very important, fun. [laughs] If you miss that piece, who wants to work for a place there's no fun? You tell me would you work for...you and I, we're talking now because it's fun. You talk to people and different perspectives. I talk to you, and I say, wow, you've built some humongous network here in the physical...the future of digital, not just professional space but also social space but also the physical space. So, again, the fun things inspire people, right? TROND: They do. So talking about inspiring people then, Jay, if you were to paint a picture of this future, I guess, we have talked just now about workers and how if you do it right, it's going to be really attractive workplaces in manufacturing. How about for, I guess, one type of worker, these knowledge workers more generally? Or, in fact, is there a possibility that you see that not just is it going to be a fun place to be for great, many workers, but it's actually going to be an exciting knowledge workplace again? Which arguably, industrialization has gone through many stages. And being in a factory wasn't always all that rosy, but it was certainly financially rewarding for many. And it has had an enormous career progression for others who are able to find ways to exploit this system to their benefit. How do you see that going forward? Is there a scope, is there a world in which factory work can or perhaps in an even new way become truly knowledge work where all of these industrial AI factors, the A to the Fs, produce fun, but they produce lasting progression, and career satisfaction, empowerment, all these buzzwords that everybody in the workplace wants and perhaps deserves? JAY: That's how we look at the future workforce is not just about the work but also the knowledge force. So basically, the difference is that people come in, and they become seasoned engineers, experienced engineers. And they retire, and the wisdom carries with them. Sometimes you have documentation, Excel sheet, PPT in the server, but nobody even looks at it. That's what today's worry is. So now what you want is living knowledge, living intelligence. The ownership is very important. For example, I'm a worker. I develop AI, not just the computer software to help the machine but also help me. I can augment the intelligence. I will augment it. When I make the product happen, the inspection station they check and just tell me pass or no pass. They also tell me the quality, 98, 97, but you pass. And then you get your score. You got a 70, 80, 90, but you got an A. 99, you got an A, 91, you got an A, 92. So what exactly does A mean? So, therefore, I give you a reason, oh, this is something. Then I learn. Okay, I can contribute. I can use voice. I can use my opinion to augment that no, labeled. So next time people work, oh, I got 97. And so the reason is the features need to be maintained, to be changed, and the system needs to be whatever. So eventually, you have a human contribute. The whole process could be consisting of 5 experts, 7, 10, 20, eventually owned by 20 people. That legacy continues. And you, as a worker, you feel like you're part of the team, leave a legacy for the next generation. So eventually, it's augmented intelligence. The third level will be actual implementation. So AI is not about artificial intelligence; it is about actual implementation. So people physically can implement things in a way they can make data to decisions. So their decision mean I want to make an adjustment. I want to find out how much I should adjust. Physically, I can see the gap. I can input the adjustment level. The system will tell me physically how could I improve 5%. Wow, that's good. I made a 5% improvement. Your boss also knows. And your paycheck got the $150 increase this month. Why? Because my contribution to the process quality improved, so I got the bonus. That's real-world feedback. TROND: Let me ask you one last question about how this is going to play out; I mean, in terms of how the skilling of workers is going to allow this kind of process. A lot of people are telling me about the ambitions that I'm describing...and some of the guests on the podcasts and also the Tulip software platform, the owner of this podcast, that it is sometimes optimistic to think that a lot of the training can just be embedded in the work process. That is obviously an ideal. But in America, for example, there is this idea that, well, you are either a trained worker or an educated worker, or you are an uneducated worker. And then yes, you can learn some things on the job. But there are limits to how much you can learn directly on the job. You have to be pulled out, and you have to do training and get competencies. As you're looking into the future, are there these two tracks? So you either get yourself a short or long college degree, and then you move in, and then you move faster. Or you are in the factory, and then if you then start to want to learn things, you have to pull yourself out and take courses, courses, courses and then go in? Or is it possible through these AI-enabled training systems to get so much real-time feedback that a reasonably intelligent person actually never has to be pulled out of work and actually they can learn on the job truly advanced things? So because there are two really, really different futures here, one, you have to scale up an educational system. And, two, you have to scale up more of a real-time learning system. And it seems to me that they're actually discrepant paths. JAY: Sure. To me, I have a framework in my book. I call it the four P structure, four P. First P is principle-based. For example, in Six Sigma, in lean manufacturing, there's some basic stuff you have to study, basic stuff like very simple fishbone diagram. You have to understand those things. You can learn by yourself what that is. You can take a very basic introduction course. So we can learn and give you a module. You can learn yourself or by a group, principle-based. The second thing is practice-based. Basically, we will prepare data for you. We will teach you how to use a tool, and you will do it together as a team or as individual, and you present results by using data I give to you, the tool I give to you. And it's all, yeah, my team A presented. Oh, they look interesting. And group B presented, so we are learning from each other. Then after the group learning is finished, you go back to your team in the real world. You create a project called project-based learning. You take a tool you learn. You take the knowledge you learn and to find a project like a Six Sigma project you do by yourself. You formulate. And then you come back to the class maybe a few weeks later, present with a real-world project based on the boss' approval. So after that, you've got maybe a black belt but with the last piece professional. Then you start teaching other people to repeat the first 3ps. You become master black belt. So we're not reinventing a new term. It really is about a similar concept like lean but more digital space. Lean is about personal experience, and digital is about the data experience is what's the big difference. TROND: But either way, it is a big difference whether you have to rely on technological experts, or you can do a lot of these things through training and can get to a level of aptitude that you can read the signals at least from the system and implement small changes, perhaps not the big changes but you can at least read the system. And whether they're low-code or no-code, you can at least then through learning frameworks, you can advance, and you can improve in not just your own work day, but you can probably in groups, and feedbacks, and stuff you can bring the whole team and the factory forward perhaps without relying only on these external types of expertise that are actually so costly because they take you away. So per definition, you run into this; I mean, certainly isn't worry-free because there is an interruption in the process. Well, look, this is fascinating. Any last thoughts? It seems to me that there are so many more ways we can dig deeper on your experience in any of these industrial contexts or even going deeper in each of the frameworks. Is there a short way to encapsulate industrial AI that you can leave us with just so people can really understand? JAY: Sure. TROND: It's such a fundamental thing, AI, and people have different ideas about that, and industry people have something in their head. And now you have combined them in a unique way. Just give us one sentence: what is industrial AI? What should people leave this podcast with? JAY: AI is a cognitive science, but industrial AI is a systematic discipline is one sentence. So that means people have domain knowledge. Now we have to create data to represent our domain then have the discipline to solve the domain problems. Usually, with domain knowledge, we try with our experience, and you and I know; that's it. But we have no data coming out. But if I have domain become data and data become discipline, then other people can repeat our success even our mistake; they understand why. So eventually, domain, data, discipline, 3 Ds together, you can make a good decision, sustainable and long-lasting. TROND: Jay, this has been so instructive. I thank you for spending this time with me. And it's a little bit of a never-ending process. JAY: [laughs] TROND: Industry is not something that you can learn it and then...because also the domain changes and what you're doing and what you're producing changes as well. So it's a lifelong -- JAY: It's rewarding. TROND: Rewarding but lifelong quest. JAY: Yeah. Well, thank you for the opportunity to share, to discuss. Thank you. TROND: It's a great pleasure. You have just listened to another episode of the Augmented Podcast with host Trond Arne Undheim. The topic was Industrial AI. And our guest was Professor Jay Lee from University of Cincinnati. In this conversation, we talked about how AI in industry needs to work every time and what that means. My takeaway is that industrial AI is a breakthrough that will take a while to mature. It implies discipline, not just algorithms. In fact, it entails a systems architecture consisting of data, algorithm, platform, and operation. Thanks for listening. If you liked the show, subscribe at augmentedpodcast.co or in your preferred podcast player, and rate us with five stars. If you liked this episode, you might also like Episode 81: From Predictive to Diagnostic Manufacturing Augmentation. Hopefully, you'll find something awesome in these or in other episodes, and if so, do let us know by messaging us. We would love to share your thoughts with other listeners. The Augmented Podcast is created in association with Tulip, the frontline operation platform that connects the people, machines, devices, and systems used in a production or logistics process in a physical location. Tulip is democratizing technology and is empowering those closest to operations to solve problems. Tulip is also hiring. You can find Tulip at tulip.co. Please share this show with colleagues who care about where industry and especially where industrial tech is heading. To find us on social media is easy; we are Augmented Pod on LinkedIn and Twitter and Augmented Podcast on Facebook and YouTube. Augmented — industrial conversations that matter. See you next time. Special Guest: Jay Lee.
It happens every year. Seventy-three teams set sail on the journey in February, and only four are left come Memorial Day Weekend. The final four. Two of the challengers return to familiar waters after a long hiatus, finding joy and redemption after a lost season in 2021. One contender is making its maiden voyage to Championship Weekend, sailing in unchartered waters of an unprecedented, breakthrough campaign. And one heavy favorite looks to reach its destiny and drop anchor among the all-time best teams. Starting with news and notes, the guys talk about Hopkins' new Offensive Coordinator, other coaching news and conference realignment. After discussing the Quarterfinal games and each of the four participants, they preview the Semifinal games on Saturday and wonder if any team can upend Maryland. Both Saturday games are available on ESPN2. Monday's Final is on ESPN. Saturday, May 28 from East Hartford, Conn. No. 7 Cornell (13-4) vs. No. 6 Rutgers (15-3), noon No. 5 Princeton (11-4) vs. No. 1 Maryland (16-0), 2:30 p.m. Monday, May 30 from East Hartford, Conn. Cornell/Rutgers Winner vs. Princeton/Maryland Winner, 1 p.m. In this week's starter-inspired Give & Go, Dan and Mark rank appetizers. While you'll be hungry for more, enjoy every morsel of the 2022 season while it's still here.
Today's show is dedicated to the memory of Frank C. He helped so many in East Hartford, CT and the surrounding area.When I got sober, I marveled at the old timer. They had respect of the room. They looked content and they were sober. Not just sober, really, really sober with a lot of years. How the hell did they do it? Was it the way they crossed their legs? I was determined to find out, because I wanted to be a geezer some day too!There comes a time that the old timer who was there when you got sober, isn't there anymore. Someone I trust and adore in my meetings said, “Keep making friends in the program because you don't know when the current ones we have will leave us.If the 12 steps and meetings are a part of your recovery, I'm sure you will identify with this show.Please subscribe, follow, listen, rate and share our show.Cantina Blues - Take the Lead by Kevin MacLeod is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/by/4.0/Source: http://incompetech.com/music/royalty-free/index.html?isrc=USUAN1100407Artist: http://incompetech.com/Support the show
Magic Johnson fired the ball to Dale Blaney. The rookie guard for the Los Angeles Lakers zipped the ball to Kareem Abdul Jabbar who quickly spun and lofted his patented skyhook. Magic to Blaney to Jabbar. (Swish) It sounds and looked good, but it just didn't feel right. The future WVU hall of fame selection walked away from the Lakers? His true love was auto racing. On this episode, the under-recruited native of East Hartford, Ohio gives insight to his career and the decisions that he's made. Why did he choose WVU? Was racing always in his future plans? The answers to those and many more come to you on episode 377.
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