Podcasts about deploying

John and Maria discuss the President deploying the National Guard to American cities, and what the arrest of a comedian in the U.K. for social media posts signifies. Also, Sen. Tim Kaine misunderstands human rights. John has a conversation with Jack Phillips and answers listener questions about “Shiny, Happy, People.” Recommendations  Truth Rising (streaming now)  Sarah Groves  Segment 1 - News Headlines  Associated Press: As Trump threatens more Guard troops in US cities, here's what the law allows  Comedian Arrested in U.K. for tweets   National Review: Malcolm Gladwell Reaches His Tipping Point on Trans Athletes  Segment 2 - Our Rights Come From God  Ted Cruz Confronts Tim Kaine   MSN: Kaine sparks backlash after calling Declaration of Independence's God-given rights ‘extremely troubling'  Segment 3 - Jack Phillips: Life Lived Forward   Comments from Listeners  US Weekly: Shiny, Happy People  ______________________  Support Breakpoint by becoming a Cornerstone Monthly Partner between now and October 31 at colsoncenter.org/september.  Watch Truth Rising, now available at truthrising.com/colson.   

Weak summer labor market flashes warning signs for the economy. US deploying stealth fighter jets to Caribbean for drug fight as tensions with Venezuela rise. North Korea Seal Team 6 Mission.

Today, it is my pleasure to speak with Debbie Wilkerson, President & CEO of Greater Horizons, one of the nation's largest and most experienced providers of philanthropic services, with more than $6 billion in charitable assets. Since 1998, Debbie has helped build Greater Horizons and its local counterpart, the Greater Kansas City Community Foundation, into trusted partners for individuals, families and companies using donor-advised funds and other charitable vehicles to support the causes they care about. With a background in estate and tax law, Debbie was introduced to philanthropy through her work on Ewing Kauffman's historic donation of the Kansas City Royals in the 1990s—the first and only time a major league sports team has been gifted to charity. Debbie became President & CEO in 2012 after serving as General Counsel and COO, and under her leadership, Greater Horizons offers a comprehensive giving platform and world-class service, with expertise in complex charitable gifts including private business interests and cryptocurrency. Debbie and her organization work with families and their enterprises to devise their giving strategies, and she tells us how they help donors identify the assets they want to or should deploy in their philanthropic strategy. Debbie has extensive experience with donors gifting to charity some exceptional assets, such as the Kansas City Royals team. She highlights the considerations and lessons learned related to deploying unique, non-traditional assets as part of a family's philanthropic vision and strategy. Going into the practical aspects of her work with clients, Debbie unpacks the various structures – foundations, DAFs, supporting organizations, etc. – that donors can choose from when it comes to operationalizing their philanthropic vision and plans. Finally, Debbie offers some useful tips and suggestions to our listeners with regard to the practical tools, frameworks, or resources families and their family offices can engage when devising and implementing their philanthropic giving strategies. Don't miss this highly instructive and illuminating conversation with a leading expert and practitioner in the field of family giving and philanthropic strategy.

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Join Lois Houston and Nikita Abraham as they chat with Yunus Mohammed, a Principal Instructor at Oracle University, about the key stages of AI model development. From gathering and preparing data to selecting, training, and deploying models, learn how each phase impacts AI's real-world effectiveness. The discussion also highlights why monitoring AI performance and addressing evolving challenges are critical for long-term success.   AI for You: https://mylearn.oracle.com/ou/course/ai-for-you/152601/252500   Oracle University Learning Community: https://education.oracle.com/ou-community   LinkedIn: https://www.linkedin.com/showcase/oracle-university/   X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, David Wright, Kris-Ann Nansen, Radhika Banka, and the OU Studio Team for helping us create this episode.   --------------------------------------------------------------   Episode Transcript: 00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:25 Lois: Welcome to the Oracle University Podcast! I'm Lois Houston, Director of Innovation Programs with Oracle University, and with me is Nikita Abraham, Team Lead: Editorial Services. Nikita: Hey everyone! In our last episode, we spoke about generative AI and gen AI agents. Today, we're going to look at the key stages in a typical AI workflow. We'll also discuss how data quality, feedback loops, and business goals influence AI success. With us today is Yunus Mohammed, a Principal Instructor at Oracle University.  01:00 Lois: Hi Yunus! We're excited to have you here! Can you walk us through the various steps in developing and deploying an AI model?  Yunus: The first point is the collect data. We gather relevant data, either historical or real time. Like customer transactions, support tickets, survey feedbacks, or sensor logs. A travel company, for example, can collect past booking data to predict future demand. So, data is the most crucial and the important component for building your AI models. But it's not just the data. You need to prepare the data. In the prepared data process, we clean, organize, and label the data. AI can't learn from messy spreadsheets. We try to make the data more understandable and organized, like removing duplicates, filling missing values in the data with some default values or formatting dates. All these comes under organization of the data and give a label to the data, so that the data becomes more supervised. After preparing the data, I go for selecting the model to train. So now, we pick what type of model fits your goals. It can be a traditional ML model or a deep learning network model, or it can be a generative model. The model is chosen based on the business problems and the data we have. So, we train the model using the prepared data, so it can learn the patterns of the data. Then after the model is trained, I need to evaluate the model. You check how well the model performs. Is it accurate? Is it fair? The metrics of the evaluation will vary based on the goal that you're trying to reach. If your model misclassifies emails as spam and it is doing it very much often, then it is not ready. So I need to train it further. So I need to train it to a level when it identifies the official mail as official mail and spam mail as spam mail accurately.  After evaluating and making sure your model is perfectly fitting, you go for the next step, which is called the deploy model. Once we are happy, we put it into the real world, like into a CRM, or a web application, or an API. So, I can configure that with an API, which is application programming interface, or I add it to a CRM, Customer Relationship Management, or I add it to a web application that I've got. Like for example, a chatbot becomes available on your company's website, and the chatbot might be using a generative AI model. Once I have deployed the model and it is working fine, I need to keep track of this model, how it is working, and need to monitor and improve whenever needed. So I go for a stage, which is called as monitor and improve. So AI isn't set in and forget it. So over time, there are lot of changes that is happening to the data. So we monitor performance and retrain when needed. An e-commerce recommendation model needs updates as there might be trends which are shifting.  So the end user finally sees the results after all the processes. A better product, or a smarter service, or a faster decision-making model, if we do this right. That is, if we process the flow perfectly, they may not even realize AI is behind it to give them the accurate results.  04:59 Nikita: Got it. So, everything in AI begins with data. But what are the different types of data used in AI development?  Yunus: We work with three main types of data: structured, unstructured, and semi-structured. Structured data is like a clean set of tables in Excel or databases, which consists of rows and columns with clear and consistent data information. Unstructured is messy data, like your email or customer calls that records videos or social media posts, so they all comes under unstructured data.  Semi-structured data is things like logs on XML files or JSON files. Not quite neat but not entirely messy either. So they are, they are termed semi-structured. So structured, unstructured, and then you've got the semi-structured. 05:58 Nikita: Ok… and how do the data needs vary for different AI approaches?  Yunus: Machine learning often needs labeled data. Like a bank might feed past transactions labeled as fraud or not fraud to train a fraud detection model. But machine learning also includes unsupervised learning, like clustering customer spending behavior. Here, no labels are needed. In deep learning, it needs a lot of data, usually unstructured, like thousands of loan documents, call recordings, or scan checks. These are fed into the models and the neural networks to detect and complex patterns. Data science focus on insights rather than the predictions. So a data scientist at the bank might use customer relationship management exports and customer demographies to analyze which age group prefers credit cards over the loans. Then we have got generative AI that thrives on diverse, unstructured internet scalable data. Like it is getting data from books, code, images, chat logs. So these models, like ChatGPT, are trained to generate responses or mimic the styles and synthesize content. So generative AI can power a banking virtual assistant trained on chat logs and frequently asked questions to answer customer queries 24/7. 07:35 Lois: What are the challenges when dealing with data?  Yunus: Data isn't just about having enough. We must also think about quality. Is it accurate and relevant? Volume. Do we have enough for the model to learn from? And is my data consisting of any kind of unfairly defined structures, like rejecting more loan applications from a certain zip code, which actually gives you a bias of data? And also the privacy. Are we handling personal data responsibly or not? Especially data which is critical or which is regulated, like the banking sector or health data of the patients. Before building anything smart, we must start smart.  08:23 Lois: So, we've established that collecting the right data is non-negotiable for success. Then comes preparing it, right?  Yunus: This is arguably the most important part of any AI or data science project. Clean data leads to reliable predictions. Imagine you have a column for age, and someone accidentally entered an age of like 999. That's likely a data entry error. Or maybe a few rows have missing ages. So we either fix, remove, or impute such issues. This step ensures our model isn't misled by incorrect values. Dates are often stored in different formats. For instance, a date, can be stored as the month and the day values, or it can be stored in some places as day first and month next. We want to bring everything into a consistent, usable format. This process is called as transformation. The machine learning models can get confused if one feature, like example the income ranges from 10,000 to 100,000, and another, like the number of kids, range from 0 to 5. So we normalize or scale values to bring them to a similar range, say 0 or 1. So we actually put it as yes or no options. So models don't understand words like small, medium, or large. We convert them into numbers using encoding. One simple way is assigning 1, 2, and 3 respectively. And then you have got removing stop words like the punctuations, et cetera, and break the sentence into smaller meaningful units called as tokens. This is actually used for generative AI tasks. In deep learning, especially for Gen AI, image or audio inputs must be of uniform size and format.  10:31 Lois: And does each AI system have a different way of preparing data?  Yunus: For machine learning ML, focus is on cleaning, encoding, and scaling. Deep learning needs resizing and normalization for text and images. Data science, about reshaping, aggregating, and getting it ready for insights. The generative AI needs special preparation like chunking, tokenizing large documents, or compressing images. 11:06 Oracle University's Race to Certification 2025 is your ticket to free training and certification in today's hottest tech. Whether you're starting with Artificial Intelligence, Oracle Cloud Infrastructure, Multicloud, or Oracle Data Platform, this challenge covers it all! Learn more about your chance to win prizes and see your name on the Leaderboard by visiting education.oracle.com/race-to-certification-2025. That's education.oracle.com/race-to-certification-2025. 11:50 Nikita: Welcome back! Yunus, how does a user choose the right model to solve their business problem?  Yunus: Just like a business uses different dashboards for marketing versus finance, in AI, we use different model types, depending on what we are trying to solve. Like classification is choosing a category. Real-world example can be whether the email is a spam or not. Use in fraud detection, medical diagnosis, et cetera. So what you do is you classify that particular data and then accurately access that classification of data. Regression, which is used for predicting a number, like, what will be the price of a house next month? Or it can be a useful in common forecasting sales demands or on the cost. Clustering, things without labels. So real-world examples can be segmenting customers based on behavior for targeted marketing. It helps discovering hidden patterns in large data sets.  Generation, that is creating new content. So AI writing product description or generating images can be a real-world example for this. And it can be used in a concept of generative AI models like ChatGPT or Dall-E, which operates on the generative AI principles. 13:16 Nikita: And how do you train a model? Yunus: We feed it with data in small chunks or batches and then compare its guesses to the correct values, adjusting its thinking like weights to improve next time, and the cycle repeats until the model gets good at making predictions. So if you're building a fraud detection system, ML may be enough. If you want to analyze medical images, you will need deep learning. If you're building a chatbot, go for a generative model like the LLM. And for all of these use cases, you need to select and train the applicable models as and when appropriate. 14:04 Lois: OK, now that the model's been trained, what else needs to happen before it can be deployed? Yunus: Evaluate the model, assess a model's accuracy, reliability, and real-world usefulness before it's put to work. That is, how often is the model right? Does it consistently perform well? Is it practical in the real world to use this model or not? Because if I have bad predictions, doesn't just look bad, it can lead to costly business mistakes. Think of recommending the wrong product to a customer or misidentifying a financial risk.  So what we do here is we start with splitting the data into two parts. So we train the data by training data. And this is like teaching the model. And then we have got the testing data. This is actually used for checking how well the model has learned. So once trained, the model makes predictions. We compare the predictions to the actual answers, just like checking your answer after a quiz. We try to go in for tailored evaluation based on AI types. Like machine learning, we care about accuracy in prediction. Deep learning is about fitting complex data like voice or images, where the model repeatedly sees examples and tunes itself to reduce errors. Data science, we look for patterns and insights, such as which features will matter. In generative AI, we judge by output quality. Is it coherent, useful, and is it natural?  The model improves with the accuracy and the number of epochs the training has been done on.  15:59 Nikita: So, after all that, we finally come to deploying the model… Yunus: Deploying a model means we are integrating it into our actual business system. So it can start making decisions, automating tasks, or supporting customer experiences in real time. Think of it like this. Training is teaching the model. Evaluating is testing it. And deployment is giving it a job.  The model needs a home either in the cloud or inside your company's own servers. Think of it like putting the AI in place where it can be reached by other tools. Exposed via API or embedded in an app, or you can say application, this is how the AI becomes usable.  Then, we have got the concept of receives live data and returns predictions. So receives live data and returns prediction is when the model listens to real-time inputs like a user typing, or user trying to search or click or making a transaction, and then instantly, your AI responds with a recommendation, decisions, or results. Deploying the model isn't the end of the story. It is just the beginning of the AI's real-world journey. Models may work well on day one, but things change. Customer behavior might shift. New products get introduced in the market. Economic conditions might evolve, like the era of COVID, where the demand shifted and the economical conditions actually changed. 17:48 Lois: Then it's about monitoring and improving the model to keep things reliable over time. Yunus: The monitor and improve loop is a continuous process that ensures an AI model remains accurate, fair, and effective after deployment. The live predictions, the model is running in real time, making decisions or recommendations. The monitor performance are those predictions still accurate and helpful. Is latency acceptable? This is where we track metrics, user feedbacks, and operational impact. Then, we go for detect issues, like accuracy is declining, are responses feeling biased, are customers dropping off due to long response times? And the next step will be to reframe or update the model. So we add fresh data, tweak the logic, or even use better architectures to deploy the uploaded model, and the new version replaces the old one and the cycle continues again. 18:58 Lois: And are there challenges during this step? Yunus: The common issues, which are related to monitor and improve consist of model drift, bias, and latency of failures. In model drift, the model becomes less accurate as the environment changes. Or bias, the model may favor or penalize certain groups unfairly. Latency or failures, if the model is too slow or fails unpredictably, it disrupts the user experience. Let's take the loan approvals. In loan approvals, if we notice an unusually high rejection rate due to model bias, we might retrain the model with more diverse or balanced data. For a chatbot, we watch for customer satisfaction, which might arise due to model failure and fine-tune the responses for the model. So in forecasting demand, if the predictions no longer match real trends, say post-pandemic, due to the model drift, we update the model with fresh data.  20:11 Nikita: Thanks for that, Yunus. Any final thoughts before we let you go? Yunus: No matter how advanced your model is, its effectiveness depends on the quality of the data you feed it. That means, the data needs to be clean, structured, and relevant. It should map itself to the problem you're solving. If the foundation is weak, the results will be also. So data preparation is not just a technical step, it is a business critical stage. Once deployed, AI systems must be monitored continuously, and you need to watch for drops in performance for any bias being generated or outdated logic, and improve the model with new data or refinements. That's what makes AI reliable, ethical, and sustainable in the long run. 21:09 Nikita: Yunus, thank you for this really insightful session. If you're interested in learning more about the topics we discussed today, go to mylearn.oracle.com and search for the AI for You course.  Lois: That's right. You'll find skill checks to help you assess your understanding of these concepts. In our next episode, we'll discuss the idea of buy versus build in the context of AI. Until then, this is Lois Houston… Nikita: And Nikita Abraham, signing off! 21:39 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.

Big Cheeto says he's a dictator then goes AWOL, while Babyface Vance says “I'm a big boy now,”  Big Balls has your SSN, Palantir helps remove Fed Governor, ICE agents are depressed, and we feel really terrible about that, jury nullification saves a sandwich-throwing terrorist, sidewalk chalk triggers government, and Desantis is finally doing something right…maybe.

Today, Hunter was joined once again by Sharone Mitchell Jr. and Sharlyn Grace of the Cook County Public Defender Office. As we have already seen in Los Angeles and D.C., President Trump is threatening to deploy the national guard to Chicago to combat “crime.” Today, Sharone and Sharlyn joined the show to discuss what is actually happening on the ground in Chicago, what the city needs to continue improving public safety, and what Trump's threats are actually about.   Guest: Sharone Mitchell Jr., Chief Public Defender, Cook County, Chicago, Illinois Sharlyn Grace, Deputy Public Defender for Policy, Cook County, Chicago, Illinois   Resources: Liberals and Centrists Biting Off on the Crime Issue https://www.nbcnews.com/politics/politics-news/bowser-trump-police-takeover-lower-dc-crime-national-guard-ice-rcna227582 Reports on Cash Bail https://loyolaccj.org/pretrial-fairness-act https://www.brennancenter.org/our-work/research-reports/bail-reform-and-public-safety https://reason.org/wp-content/uploads/the-effects-of-cash-bail-on-crime-and-court-appearances.pdf Crime in Chicago https://counciloncj.org/crime-trends-in-u-s-cities-mid-year-2025-update/ https://www.chicago.gov/city/en/sites/vrd/home/violence-victimization.html     Contact Hunter Parnell:                                 Publicdefenseless@gmail.com  Instagram @PublicDefenselessPodcast Twitter                                                                 @PDefenselessPod www.publicdefenseless.com  Subscribe to the Patreon www.patreon.com/PublicDefenselessPodcast  Donate on PayPal https://www.paypal.com/donate/?hosted_button_id=5KW7WMJWEXTAJ Donate on Stripe https://donate.stripe.com/7sI01tb2v3dwaM8cMN Trying to find a specific part of an episode? Use this link to search transcripts of every episode of the show! https://app.reduct.video/o/eca54fbf9f/p/d543070e6a/share/c34e85194394723d4131/home  

Governor Gavin Newsom says he'll be sending CHP officers to more big communities to help crackdown on crime. This comes as President Trump has threatened to deploy National Guard troops in several major cities, including San Francisco and Oakland. For more, KCBS Radio anchor Steve Scott spoke with KCBS Insider Phil Matier.

Gov. Tim Walz was recently out bashing President Trump for deploying the National Guard, but he used them to keep people in their house's in 2020.  Visit the Howie Carr Radio Network website to access columns, podcasts, and other exclusive content.

On "Forbes Newsroom," HarrisX founder and CEO Dritan Nesho discussed a new Harvard CAPS/Harris Poll showing President Trump's approval rating holding steady at 47%, as well as what voters consider his highlights and weaker points at this moment in his second term.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

National Guard troops in Washington now carry weapons as the president orders a major expansion of the National Guard's role and talks about sending troops to Chicago next. Chicago's mayor, Brandon Johnson, joins Anderson. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Too chicken to go the LA, NY and Chicago eh? I am really starting to pity Trump’s loyal cult members as he absolutely humiliates them AGAIN. This time after selling his fascist military as a a ‘necessary expansion’ of executive authority to ‘combat lawlessness and illegal immigration’ in LA, Chicago, San Francisco, New York and other blue cities, Trump turns around and deploys exclusively to the reddest of red states, exclusively! From The Independent: “The deployments will take place across the following states: Alabama, Arkansas, Florida, Georgia, Idaho, Indiana, Iowa, Louisiana, Nebraska, Nevada, New Mexico, Ohio, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Wyoming, per Fox. Texas is reportedly slated to have the largest deployment.” (Btw … don’t be a victim of stressflation! PROTECT your wealth and thrive in a down economy with gold and silver. Colonial Metals Group is a valued sponsor of the SJ Show and the company I trust for all my metals purchases. Click HERE to get started and see if you qualify for $7500 in free silver. Go to www.colonialmetalsgroup.com/joy today!) Oh and he’s also importing 600,000 Chinese undergrads to replace American students at universities, just another phase in the humiliation ritual of blatant betrayal of his base. Meanwhile the digital prison is being erected at a breakneck pace as techno-fascisim expands across America. Jason Bassler, co-founder of the Free Thought Project joins us today with a report on the emerging technocracy and how to fight back. WATCH LIVE HERE: https://rumble.com/c/TheShannonJoyShow Shannon’s Top Headlines, August 26, 2025: Trumping Sweeping Federal Crackdown … On RED States: https://x.com/charliekirk11/status/1959028444643434988 Laura Loomer breaks with Trump in rare public spat over 600k China student visas: ‘Do the math’https://www.yahoo.com/news/articles/maga-firebrand-laura-loomer-breaks-125859655.html Trump mobilizing up to 1,700 National Guard troops in 19 states to widen crime and immigration crackdown: https://www.the-independent.com/news/world/americas/us-politics/trump-national-guard-military-states-cities-b2812837.html The U.S. Government Is Waging Psychological War On Its Citizens: Inside The Deep State’s PsyOps Machine: https://thefreethoughtproject.com/deep-state/the-u-s-government-is-waging-psychological-war-on-its-citizens-inside-the-deep-states-psyops-machine AI Psychosis - People Are Going Bonkers: https://www.technocracy.news/microsoft-ai-ceo-chatbots-are-causing-psychosis/ The Trump Digital Control Grid: https://solari.com/trump-administration-digital-control-grid-coming-together-at-high-speed/ SJ Show Notes: Follow Jason Bassler: https://bit.ly/JBSOCIAL Follow The Free Thought Project: https://thefreethoughtproject.com Please support Shannon’s independent network with your donation HERE: https://www.paypal.com/donate/?hosted_button_id=MHSMPXEBSLVT Support Our Sponsors: Thank you to The Satellite Phone Store for helping America to be independent AND prepared! The Satellite Phone Store has EVERYTHING you need when the POWER goes OUT. Use the promo code JOY for 10% off your entire order TODAY! www.SAT123.com/Joy The best medicine is chronic GOOD health and achieving it naturally. It’s why my family uses Native Path Collagen every day! Go to https://savewithnativepath.com/joy today to claim your EXCLUSIVE 45% off deal before it’s gone. Protect your retirement today with GOLD. Click HERE today to get started and see if you qualify for $7500 in free silver! Go to www.colonialmetalsgroup.com/joy Please consider Dom Pullano of PCM & Associates! He has been Shannon’s advisor for over a decade and would love to help you grow! Call his toll free number today: 1-800-536-1368 or visit his website at https://www.pcmpullano.com

On Tuesday's show: President Donald Trump wants specialized National Guard units ready to deploy to U.S. cities to quell civil disturbances and ensure public safety and order. We discuss what that means, whether we could see troops deployed here, and whether this is largely a pretense to step up immigration enforcement.Also this hour: A new Texas law expands when someone can be detained for psychiatric evaluation. Some welcome the change while others worry it crosses a line. We discuss the debate over involuntary treatment and its cost.Then, a recent investigation by the Texas Observer explores the murky legal world of some private foster and adoption agencies.And we meet a competitive Scrabble player.

Ben Bradley, WGN-TV News Emmy Award-winning investigative reporter, joins Lisa Dent to talk about the likelihood and the legality of President Trump deploying the National Guard to Chicago. Yesterday, President Trump made suggestions that he would deploy the military to Chicago. Following public statements from many Chicago public officials, President Trump seemed to dial back […]

Washington insider Dave Levinthal gives his take on the top stories across the country.

President Trump considers deploying National Guard to other Democratic-led cities. Kilmar Abrego Garcia reports to ICE detention center in Baltimore. Florida ordered to undo Alligator Alcatraz due to environmental risks. Some National Guard troops are now armed in Washington, DC. 

It's the last Farm Companion of the season, and we're officially locked & loaded for bow season! Mature bucks are finally starting to show up, and we're shifting gears from setting up the farms to figuring out how we're going to hunt them. The prep work is done… now it's time to put these farms to the test. Buck patterns are changing fast, and we're ready to move from scouting to strategy. Hunting season is finally here, and we are fired up.In this episode, we break down:-Trail camera updates & why activity has been slow-Deploying feeders & dialing in food plots-Final tweaks before opening day-How we're planning to hunt these properties-Mature bucks showing up before seasonSUBSCRIBE TO THE CHANNEL:https://www.youtube.com/c/HUNTRTUBEShop HUNTR Merch:https://wearehuntr.com/HUNTR Podcast is presented by:Hoyt Archery: https://hoyt.com (Code HUNTR for 20% off apparel)DeerGro: https://www.deergro.com (Code HUNTR for 15% off)Predator Camo: https://www.predatorcamo.com/ (Code HUNTR for 20% off)Beast Broadheads: https://beastbroadheads.com/ (Code HUNTR for 10% off)Lone Wolf Custom Gear: https://www.lonewolfcustomgear.com/ (Code HUNTR for 10% off)MTN Tough: http://lab.mtntough.com/checkout/subscribe/purchase?code=huntr&plan=monthly (Code HUNTR for 1 free month)RackHub: https://www.rack-hub.com/huntr (Code HUNTR for 10% off)Pure Wildlife Blends: https://www.purewildlifeblends.com (Code HUNTR for 10% off)Primos: https://www.primos.com/ (Code HUNTR for 15% off)Bushnell: https://www.bushnell.com/ (Code HUNTR for 15% off)

Today, we're breaking down a lead generation case study that resulted in a 397% increase in revenue and a 356% boost in gross profit. The business, which was stuck at $620,000 in annual revenue, shot up to $2.5 million after just six months of applying the right strategies. We dug into the client's existing assets, found multiple lead magnets, and used them to target different pain points across a broader audience. The result was a more engaged audience, a more diversified funnel, and ultimately more conversions. If you're struggling to scale, it's time to rethink your marketing strategy. Stop pushing for immediate sales and start creating a nurturing experience for your audience. Listen in and learn how you can adapt our lead gen strategy to fit your business. In This Episode:- Lead generation case study results breakdown- Step 1: Moving from simple to complex funnel strategy- Step 2: Installing the CPL/nCAC reducer framework- Step 3: Deploying the digital velocity engine for ad creation- Final results summary: 397% revenue increaseListen to This Episode on Your Favorite Podcast Channel:Follow and listen on Apple: https://podcasts.apple.com/us/podcast/perpetual-traffic/id1022441491 Follow and listen on Spotify:https://open.spotify.com/show/59lhtIWHw1XXsRmT5HBAuK Subscribe and watch on YouTube: https://www.youtube.com/@perpetual_traffic?sub_confirmation=1We Appreciate Your Support!Visit our website: https://perpetualtraffic.com/ Follow us on X: https://x.com/perpetualtraf Connect with Ralph Burns: LinkedIn - https://www.linkedin.com/in/ralphburns Instagram - https://www.instagram.com/ralphhburns/ Hire Tier11 - https://www.tiereleven.com/apply-now Connect with Lauren Petrullo:Instagram - https://www.instagram.com/laurenepetrullo/LinkedIn - https://www.linkedin.com/in/laurenpetrullo Consult Mongoose Media - https://mongoosemedia.us/

Deploying and managing cloud workloads is a complex task that requires developers to handle infrastructure, scaling, CI/CD pipelines, and database hosting. Configuring and maintaining Kubernetes, ensuring smooth deployments, and integrating various services efficiently is a common challenge. Will Stewart is the co-founder and CEO of Northflank, which is a platform focused on streamlining application deployment The post Complex Workload Deployment with Will Stewart appeared first on Software Engineering Daily.

Deploying and managing cloud workloads is a complex task that requires developers to handle infrastructure, scaling, CI/CD pipelines, and database hosting. Configuring and maintaining Kubernetes, ensuring smooth deployments, and integrating various services efficiently is a common challenge. Will Stewart is the co-founder and CEO of Northflank, which is a platform focused on streamlining application deployment The post Complex Workload Deployment with Will Stewart appeared first on Software Engineering Daily.

In our news wrap Saturday, hundreds of National Guard members from West Virginia, South Carolina and Ohio are deploying to Washington, D.C., Israelis held a nationwide strike to demand an end to the war in Gaza and return of hostages, and striking Air Canada flight attendants defied a back-to-work order from the government. PBS News is supported by - https://www.pbs.org/newshour/about/funders. Hosted on Acast. See acast.com/privacy

Air Date 8/16/2025 There's the old Douglas Adams quote stating that, "Anyone who is capable of getting themselves made President should on no account be allowed to do the job" which is a good general rule to live by. But then there are the real baddies, those would-be leaders who possess one or more of the dark triad of traits that spells real doom for the societies that elevate them to power: narcissism, psychopathy, and machiavellianism. Today we compare and contrast Donald Trump, Vladimir Putin, and Benjamin Netanyahu. Xi Jinping also fits nicely on this list as an honorable mention but happens to not be part of the focus today. Be part of the show! Leave us a message or text at 202-999-3991, message us on the infamous Signal at the handle bestoftheleft.01, or email Jay@BestOfTheLeft.com Full Show Notes Check out our new show, SOLVED! on YouTube! BestOfTheLeft.com/Support (Members Get Bonus Shows + No Ads!) Join our Discord community! Check out our new show, SOLVED! on YouTube! BestOfTheLeft.com/Support (Members Get Bonus Shows + No Ads!) Use our links to shop Bookshop.org and Libro.fm for a non-evil book and audiobook purchasing experience! Join our Discord community! KEY POINTS KP 1: The World War II Lessons Trump, Putin, & Netanyahu Actually Learned - Tad Stoermer - Air Date 8-8-25 KP 2: 'Not About Crime': Maddow CRACKS OPEN Trump's Real Motives in Deploying the National Guard to D.C. - The Rachel Maddow Show - Air Date 8-11-25 KP 3: Totally Unexpected - HasanAbi - Air Date 8-7-25 KP 4: 'No International Community Is Capable of Stopping Netanyahu' - James O'Brien on LBC - Air Date 7-22-25 KP 5: Kyiv-based Analyst: 'Ukraine Is Being Sidelined From Talks' - LBC - Air Date 8-10-25 KP 6: How Putin's Lies Are Driving the War in Ukraine The Foreign Affairs Interview - The Foreign Affairs Interview - Air Date 1-12-23 KP 7: Donald Trump Wants to Seize Your Reality - Mother Jones - Air Date 8-8-25 (00:49:39) NOTE FROM THE EDITOR On why humanity is better than we seem and how we can save ourselves ‘Self-termination is most likely': the history and future of societal collapse DEEPER DIVES (00:57:15) SECTION A: TRUMP THE LIAR A1: Trump Rejects Reality - The Muckrake Political Podcast - Air Date 8-5-25 A2: Trump Pushes Forward with Revenge Presidency - All In with Chris Hayes - Air Date 8-8-25 A3: Ed Elson Slams Trump Firing Labor Statistics Boss: 'This Is What Cartoon Dictators Do' - Katy Tur - Air Date 8-1-25 A4: Trump Vs. the Bureau of Labor Statistics - The Journal. - Air Date 8-4-25 A5: Trump Thinks You're Very Stupid - The Majority Report w/ Sam Seder - Air Date 8-9-25 (01:32:17) SECTION B: NETANYAHU THE MANIPULATOR B1: Gaza Takeover: Israel Launches New Stage of 'Indefinite, Genocidal Military Campaign' -Democracy Now! - Air Date 8-8-25 B2: Why Bibi Netanyahu Is on Trial - ABC News In-depth - Air Date 4-26-24 B3: DEBUNKED: 14 Israeli LIES About Gaza Famine - Owen Jones - Air Date 8-8-25 B4: Mehdi Hasan Explains Why the War in Gaza Wont End Soon - LBC -Air Date 8-5-25 B5: Trump's Intervention in Netanyahu's Corruption Trial 'Unprecedented': Gideon Levy - Al Jazeera English - Air Date 6-30-25 (02:09:13) SECTION C: PUTIN THE STRATEGIST C1: Does Putin Have Dark Triad Traits? | Vladimir Putin Case Analysis - Dr. Todd Grande - Air Date 2-23-22 C2: What Happens When You Confront Putin in Public - Penguin History - Air Date 8-7-25 C3: Why Putin Is so Hard to Overthrow - Search Party - Air Date 8-18-23 (02:27:11) SECTION D: MYTHS COLLAPSE D1: Shocking Study Proves Trumps Biggest Supporters Are Psychopaths - Thom Hartmann Program - Air Date 8-11-25 D2: America's Authoritarian Turn - Harvard Radcliffe Institute - Air Date 3-3-25 D3: Huge Economic Problems Coming for Republicans and the U.S. - Heather Cox Richardson - Air Date 8-7-25 D4: How Gaza Exposes The Myths Of The System - Andrewism - Air Date 8-5-25 (03:07:29) SECTION E: THE MEN BEHIND THE THRONE E1: Who's the Man Who Has Putin's Ear? - NewsNation - Air Date 4-8-22 E2: From Terrorist Backer to Kingmaker: Itamar Ben-Gvir Israeli Far Right Help Netanyahu Regain Power - Democracy Now! - Air Date 11-4-22 E3: Bezalel Smotrich: Far-right Israeli Minister Calls for Resettlement of Gaza After War - Al Jazeera English - Air Date 12-31-23 E4: Aleksandr Dugin: The Far-right Theorist Behind Putins Plan - 60 Minutes - Air Date 4-12-22 E5: Why Did Israel Restart the War? One Answer: Bezalel Smotrich. - Consider This From NPR - Air Date 3-28-25 E6: Project 2025 Co-Author Lays Out 'Radical Agenda' for Next Trump Term in Undercover Video - Democracy Now! - Air Date 8-16-24 SHOW IMAGE CREDITS Description: A composite image of a pleased-looking Trump holding up a triangle that says “The Dark Triad” in the center, and “Narcissism”, “Machiavellianism”, and “Psychopathy” along each side. Vladimir Putin, Xi Jinping, and Benjamin Netanyahu are pictured underneath. Credit: “The Dark Triad” by Manitee71, Wikimedia Commons, License: CC-By-SA 4.0 | “Putin-politics-kremlin-russia” by DimitroSevastopol, Pixabay, License: Pixabay | “Xi Jinping 2019” by Palácio do Planalto, Wikimedia Commons, License: CC-BY-SA 4.0 | “31/03/2019 Jantar na Residência do Primeiro-Ministro de Israel” by Palácio do Planalto, Flickr, License: CC-BY-2.0   Produced by Jay! Tomlinson Visit us at BestOfTheLeft.com Listen Anywhere! BestOfTheLeft.com/Listen Listen Anywhere! Follow BotL: Bluesky | Mastodon | Threads | X Like at Facebook.com/BestOfTheLeft Contact me directly at Jay@BestOfTheLeft.com

In this episode of Building Better Developers with AI, Rob Broadhead and Michael Meloche revisit their earlier discussion on defining ‘done' in Agile – how to stay on Track and Avoid Scope Creep. They explain why “done” must mean more than “I finished coding,” and they show how a shared Definition of Done (DoD) keeps teams aligned and projects on schedule. What Does “Done” Really Mean? In Agile, “Done” extends beyond writing code. It often includes: Passing unit and integration tests Receiving QA approval Deploying to staging or production Updating documentation Securing acceptance sign-off Without a clear, documented DoD, each team member may interpret “done” differently. As a result, projects risk rework, delays, and frustration. “If we ask, ‘Is it done?' we should get a clear yes or no—no ‘sort of' or ‘almost.'” – Rob Broadhead Why Ambiguity Leads to Trouble Michael points out a common problem: a developer finishes their code, marks the ticket as done, and passes it to QA—only for testers to find gaps in the requirements. A login screen ticket might say “Allow users to log in with username and password.” But does that mean: Username is case-insensitive? Special characters are allowed? Do error messages display on failure? If these details aren't defined, both the developer and tester may interpret “done” differently, leading to frustration on all sides. The Link Between “Done” and Scope Creep Rob and Michael agree: unclear definitions open the door to scope creep. Without a firm DoD, features get stuck in an endless loop of revisions: Developers feel QA keeps moving the goalposts. QA feels developers aren't meeting the requirements. Clients think the delivered feature isn't what they expected. Over time, this erodes trust and pushes delivery dates further into the future. Lessons from the Field Michael contrasts two scenarios from his career that highlight the power of a strong Definition of Done. Before an acquisition, his team worked with a crystal-clear DoD. Every ticket had precise requirements, clear acceptance criteria, and well-defined testing steps. As a result, tasks finished on time, testing followed a predictable pattern, and rework was rare. The team knew exactly when work met the agreed standards, and stakeholders trusted that “done” truly meant done. After the acquisition, the situation changed dramatically. Tickets became vague and massive in scope, often resembling open-ended “make it work” directives. Multiple teams modified the same code simultaneously, resulting in merge conflicts, inconsistent results, and unpredictable delivery schedules. Without a clear DoD, developers, testers, and stakeholders all had different ideas of what completion looked like, and work frequently circled back for revisions. The difference between the two environments came down to one factor: a clear and enforceable Definition of done. In the first scenario, it acted as a shared contract for quality and completion. In the second, the lack of it created confusion, wasted effort, and missed deadlines. Building a Strong Definition of Done The hosts outline key components every DoD should include: Code complete and reviewed – Ensures quality and shared understanding. Automated tests passing – Reduces regressions. Documentation updated – Prevents future confusion. Deployment verified – Proves it works in the target environment. Acceptance criteria signed off – Confirms alignment with the original requirements. Pro Tip: Keep your tests fresh—don't just update them to pass without meeting the real requirement. Who Owns the DoD? One person doesn't own the DoD—it's a team responsibility. Product owners, Scrum Masters, and developers should collaborate to create and update it, reviewing it regularly to adapt to evolving project needs. Making “Done” Part of the Process Once defined, your DoD should be visible and integrated into your workflow: Add it to user stories during sprint planning. Track it in tools like Jira, Trello, or GitHub. Use workflow stages that match your DoD steps—coding, testing, review, deployment, and sign-off. Michael emphasizes that personal accountability matters just as much as team accountability. Great developers hold themselves to the DoD without needing reminders. Your Challenge: Define “Done” This Week If your team doesn't have a documented Definition of Done—or if it's been more than three months since you reviewed it—set aside time this week to: Write down your current DoD. Identify where ambiguity still exists. Get agreement from the entire team. Update your workflow so that every ticket must meet the DoD before it is closed. This single step can prevent months of wasted effort and ensure your work delivers exactly what's intended. The Bigger Picture A well-defined DoD is more than a checklist—it's your guardrail against wasted effort and shifting goals. It ensures the final product matches what the client truly needs, not just what was coded. Your Definition of Done is your “why” for each task—it keeps your work focused, aligned, and valuable. Stay Connected: Join the Developreneur Community We invite you to join our community and share your coding journey with us. Whether you're a seasoned developer or just starting, there's always room to learn and grow together. Contact us at info@develpreneur.com with your questions, feedback, or suggestions for future episodes. Together, let's continue exploring the exciting world of software development. Additional Resources Getting It Right: How Effective Requirements Gathering Leads to Successful Software Projects The Importance of Properly Defining Requirements Changing Requirements – Welcome Them For Competitive Advantage Creating Use Cases and Gathering Requirements The Developer Journey Videos – With Bonus Content Building Better Developers With AI Podcast Videos – With Bonus Content

Stay ConnectedForbes on Facebook: http://fb.com/forbesForbes Video on Twitter: http://www.twitter.com/forbesForbes Video on Instagram: http://instagram.com/forbesMore From Forbes: http://forbes.comSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Deploying troops without police training, defying the courts, and threatening the media, Trump is importing dictator tactics in plain sight and daring Americans to stop him...See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

There's uncertainty over how Donald Trump's dialling up of law enforcement in Washington DC will play out. The President has placed the DC Metropolitan Police Department under federal control, and has deployed roughly 800 National Guards. US correspondent Jonathan Kearsley says local authorities have claimed Trump's measures to crack down on crime in DC aren't necessary - and that violent crime is at a 30-year low. LISTEN ABOVESee omnystudio.com/listener for privacy information.

1. Federal Control of D.C. Police Trump invoked Section 740 of the D.C. Home Rule Act to place the D.C. police under federal control. He declared a public safety emergency, citing high crime rates including murder, carjackings, and assaults. Additional measures included: Reassigning FBI agents to nighttime patrols. Deploying the National Guard. Appointing a federal commissioner for the D.C. police. 2. Legal Justification The podcast outlines constitutional and statutory authority for Trump’s actions: Article I, Section 8, Clause 17 of the U.S. Constitution. D.C. Code Section 49-49 and the 1973 Home Rule Act. Reference to Posse Comitatus Act and DOJ opinions that D.C. is legally distinct from other cities. 3. Criticism of Democrats and Media Hosts argue that Democrats and mainstream media are unfairly criticizing Trump’s actions. They claim Democrats oppose law enforcement and support policies that increase crime (e.g., no cash bail). The podcast accuses the media of misrepresenting Trump’s actions as dictatorial. 4. Military Action Against Drug Cartels Trump reportedly authorized military force against cartels like MS-13 and Cartel de los Soles. The move is compared to Plan Colombia, a U.S. military initiative under President George W. Bush. The podcast suggests this could be a turning point in combating drug-related violence and trafficking. Please Hit Subscribe to this podcast Right Now. Also Please Subscribe to the 47 Morning Update with Ben Ferguson and the Ben Ferguson Show Podcast Wherever You get You're Podcasts. Thanks for Listening #seanhannity #hannity #marklevin #levin #charliekirk #megynkelly #tucker #tuckercarlson #glennbeck #benshapiro #shapiro #trump #sexton #bucksexton#rushlimbaugh #limbaugh #whitehouse #senate #congress #thehouse #democrats#republicans #conservative #senator #congressman #congressmen #congresswoman #capitol #president #vicepresident #POTUS #presidentoftheunitedstatesofamerica#SCOTUS #Supremecourt #DonaldTrump #PresidentDonaldTrump #DT #TedCruz #Benferguson #Verdict #justicecorrupted #UnwokeHowtoDefeatCulturalMarxisminAmericaYouTube: https://www.youtube.com/@VerdictwithTedCruzSee omnystudio.com/listener for privacy information.

Rachel Maddow cites example after example of Donald Trump going out of his way to help criminals, including some really terrible ones, so the idea that Trump's concerns about crime are behind his deployment of the National Guard in Washington, D.C. does not seem to hold water. Looking more closely at what Donald Trump has done instead of what he has said points to the more likely explanation that Trump really likes pointing the U.S. military at the American people.Meanwhile, Donald Trump and his health secretary Robert F. Kennedy Jr. have canceled hundreds of millions of dollars in funding for mRNA vaccine research, a move that has been widely panned by health experts across the political spectrum, including members of Trump's first administration.  

Headlines for August 12, 2025; Trump’s Takeover: ACLU on Federalizing D.C. Police & Deploying 800 National Guard; “Slide Towards Fascism”: Khalil Gibran Muhammad on Racist Roots of Trump D.C. Takeover; Trump’s New Secret Directive OKs Military Action in Latin America Under Guise of Drug War; Israel Has “Deliberate Strategy” of Killing Palestinian Journalists Like Anas al-Sharif: U.N. Expert

Citing a crime emergency, President Trump says he's taking over the DC police, sending in the National Guard and is ready to do the same in other big cities. Overall crime numbers in DC are lower this year than in 2024. Plus, one of the most well-known Palestinian journalists, Anas Al-Sharif, is dead after being targeted in an Israeli strike. Four of his colleagues were also killed.  Clarissa Ward has details on the attack and the widespread condemnation that Israel is now facing.  Learn more about your ad choices. Visit podcastchoices.com/adchoices

0:00 FOX's Greg Gutfeld appearance w Jimmy Fallon makes liberal media furious! Robby Soave | RISING 9:29 Trump eyes deploying National Guard in DC, vows to evict homeless | RISING 18:43 Trump orders Pentagon to use military force against foreign drug cartels: NYT | RISING 23:12 Poll: 60% blame Trump for high costs amid expensive AF1, ballroom projects! Lindsey Granger | RISING 32:00 Mamdani called out for rent-stabilized apartment, Cuomo: 'move out' | RISING 41:26 ' AI chatbots deluding users with made-up answers: NYT | RISING 46:58 Vinay Prasad reinstated as FDA's top vaccine regulator after being pressured into resigning | RISING 55:44 Jimmy Kimmel, Sarah Silverman defend Joe Rogan, skewer overly-critical liberals | RISING Learn more about your ad choices. Visit megaphone.fm/adchoices

AP Washington correspondent Sagar Meghani reports on President Trump's plan to make the nation's capital safer.

How does Milford Hills UMC deploy generosity? We do so by being good stewards of what people give to God through the missions and ministry of our church. This week, we take a deep dive into how this happens and, like Paul in Philippians 4:15-20, we give thanks to those who give so generously.  Thank you again for worshipping with us. For more information about our congregation, please visit our website at milfordhillsumc.org. If you would like to support Milford Hills UMC's mission to Love, Serve, and Live as Christ, please visit milfordhillsumc.org/give or text 'GIVE' to 833-264-3866.

Here's my interview with Ray Kallmeyer, Founder and CEO of Enklu and their 22 Verse Immersive AR LBE locations, that was conducted on Tuesday, June 10, 2025 at Augmented World Expo in Long Beach, CA. See more context in the rough transcript below.

Shoot us a Text.Episode #1108: Today we're joined by Ben Hadley to talk about Toyota's exports to the US rising in June, and get Ben's thoughts on AI use by dealers and tech partners.Show Notes with links:Despite U.S. tariffs on Japanese auto imports, Toyota kept exports rolling in June, posting record-breaking sales powered by booming hybrid demand and resilient U.S. shipments. The move highlights both consumer appetite and Toyota's ability to shrug off trade turbulence.Toyota's U.S. exports rose 16% in June, totaling 52,745 vehicles.Global sales hit 937,246 vehicles for the month, a 2.7% increase.First-half sales reached a record 5.54 million, with electrified models leading growth.Hybrid sales in North America jumped 38% to 651,000 vehicles.A Toyota spokeswoman credited “strong demand” but declined comment on future tariff impacts.OpenAI is taking a swing at the “CheatGPT” label with a major update designed to help, not hand out answers. The new “study mode” in ChatGPT aims to guide students through learning rather than doing the work for them.Study Mode is live for all users now, with ChatGPT Edu access coming soon.It uses Socratic questioning and scaffolded responses to build understanding.Offers personalized support and quizzes for deeper learning.Students are calling it “a live, 24/7, all-knowing office hours.”OpenAI is partnering with Stanford to evaluate its real educational impact.“It helped me finally understand a concept I'd struggled with for months,” said one college tester.Join Paul J Daly and Kyle Mountsier every morning for the Automotive State of the Union podcast as they connect the dots across car dealerships, retail trends, emerging tech like AI, and cultural shifts—bringing clarity, speed, and people-first insight to automotive leaders navigating a rapidly changing industry.Get the Daily Push Back email at https://www.asotu.com/ JOIN the conversation on LinkedIn at: https://www.linkedin.com/company/asotu/

This episode is sponsored by Natoma. Visit https://www.natoma.id/ to learn more.Join Jeff from the IDAC Podcast as he dives into a deep conversation with Paresh Bhaya, the co-founder of Natoma. In this sponsored episode, Paresh shares his journey into the identity space, discusses how Natoma helps enterprises accelerate AI adoption without compromising security, and provides insights into the rising importance of MCP and A2A protocols. Learn about the challenges and opportunities at the intersection of AI and security, the importance of dynamic access controls, and the significance of ensuring proper authentication and authorization in the growing world of agentic AI. Paresh also delights us with his memorable hike up Mount Whitney. Don't miss out!00:00 Introduction and Sponsor Announcement00:34 Guest Introduction: Paresh Bhaya from Natoma01:14 Paresh's Journey into Identity04:04 Natoma's Mission and AI Security06:25 The Story Behind Natoma's Name09:29 Natoma's Unique Approach to AI Security18:32 Understanding MCP and A2A Protocols25:20 Community Development and Adoption25:56 Agent Interactions and Security Challenges27:19 Navigating Product Development29:17 Ensuring Secure Connections36:10 Deploying and Managing MCP Servers42:40 Shadow AI and Governance44:17 Personal Anecdotes and ConclusionConnect with Paresh: https://www.linkedin.com/in/paresh-bhaya/Learn more about Natoma: https://www.natoma.id/Connect with us on LinkedIn:Jim McDonald: https://www.linkedin.com/in/jimmcdonaldpmp/Jeff Steadman: https://www.linkedin.com/in/jeffsteadman/Visit the show on the web at idacpodcast.comKeywords:IDAC, Identity at the Center, Jeff Steadman, Jim McDonald, Natoma, Paresh Bhaya, Artificial Intelligence, AI, AI Security, Identity and Access Management, IAM, Enterprise Security, AI Adoption, Technology, Innovation, Cybersecurity, Machine Learning, AI Risks, Secure AI, #idac

On this episode of the Huddle, Kelly Postiglione Cook, RN, MSN, ANP-BC, CDCES, BC-ADM, and Sean Oser, MD, MPH, CDCES have a conversation about the importance of utilizing automated insulin delivery systems, like the iLet bionic pancreas, more widely in primary care. They provide insight into a study that evaluated the success of implementing use of the iLet bionic pancreas in a primary care setting, how the results illustrated that this technology can be more widely utilized in these settings, and the role diabetes care and education specialists can play in this work.This episode is sponsored by Beta Bionics. Episode References: Bionic Pancreas Research Group. Multicenter, randomized trial of a bionic pancreas in type 1 diabetes. N Engl J Med 2022;387:1161-1172 DOI: 10.1056/NEJMoa2205225 Russell SJ, Selagamsetty R, Damiano E. Real-world efficacy of the iLet bionic pancreas in adults and children during the first eighteen months of commercial availability. Presented at the American Diabetes Association 85th Scientific Sessions, June 20-23, 2025, Chicago, IL.   Oser SM, Putman MS, Russel SJ, et al. Assessing the iLet Bionic Pancreas deployed in primary care and via telehealth: a randomized clinical trial. Clin Diabetes 2025; cd240104. https://doi.org/10.2337/cd24-0104 Oser C, Parascando JA, Kostiuk M, et al. Experiences of people with type 1 diabetes using the iLet bionic pancreas in primary care: A qualitative analysis. Clin Diabetes 2024 https://doi.org/10.2337/cd24-0060.  Sulik B, Postiglione Cook K, MacLeod J. Meals no longer need to be math problems: Shifting from precise carbohydrate counting to a continuum of carbohydrate awareness as automated insulin delivery advances. Diabetes Technology and Obesity Medicine 2025;1(1):79-83. DOI: 10.1089/dtom.2025.0010.  Resources:Learn more about Beta Bionics here: https://www.betabionics.com/Explore the latest in diabetes technology on danatech: danatech l Diabetes Technology Education for Healthcare ProfessionalsLearn more about a two-part course on integrating diabetes technology into primary care, put on through the collaboration of AANP and ADCES:Part 1: Integrating Diabetes Technology into Primary Care Part 1: Overview and Clinical ScenariosPart 2: Integrating Diabetes Technology into Primary Care Part 2: Interactive Case StudiesDive deeper into how diabetes technology can be incorporated into primary care on another recent episode of The Huddle featuring Kathryn Evans Kreider DNP, FNP-BC, BC-ADM, FAANP: https://thehuddle.simplecast.com/episodes/embracing-diabetes-technology-in-primary-care Listen to more episodes of The Huddle at adces.org/perspectives/the-huddle-podcast.Learn more about ADCES and the many benefits of membership at adces.org/join.

Crisis fundraising operates on a different timeline than traditional campaigns. When disaster hits, organizations have a critical 24-hour window to mobilize resources and activate their networks. But what separates organizations that thrive in crisis from those that scramble?The difference lies in preparation—having systems, messages, and community relationships ready before the emergency unfolds. It's about building infrastructure that can pivot quickly while maintaining donor trust and emotional resonance throughout evolving circumstances.In this episode, Marcie Maxwell talks with Jessi Woomer, Director of Digital Fundraising for the American Red Cross. With ten years of experience leading national digital fundraising strategy, Jessi shares how organizations can prepare for crisis moments and deploy peer-to-peer strategies that turn urgency into sustainable support.Together, we'll explore:Why the first 24 hours of crisis response are make-or-break for fundraising successHow to build donor targeting strategies that balance local impact with broader community engagementPractical systems for transitioning from emergency response to long-term donor stewardshipMentioned LinksAmerican Red CrossStay Connected on LinkedInConnect with JessiConnect with MarcieConnect with the Peer-to-Peer Professional Forum (00:00) - Welcome to The P2P Soap Box (02:27) - Introducing Jessica Woomer (06:58) - Resources when Skies are Clear (15:07) - Messaging in Crisis (25:42) - Assessing Success (29:39) - Learn More... Get Involved!

In this episode, we will discuss the power of your customer experience blueprint as well as the best techniques and tactics to craft a culture of hospitality. Customer Experience (CX) has the power to create a true competitive advtantage as well as generate revenue from customer loyalty and word of mouth marketing. We'll explore: The power of a strong Customer Experience Framework Getting your organization on the same page to avoid siloes and duplication Creating a space where employees can do their best work and drive repeatable, engaging customer service Developing a team with a heart for hospitality Deploying your customer experience and hospitality strategy Reinforcing, measuring, and coaching your hospitality and CX strategy for success now and into the future Whether you're a business owner, CX leader, C-Suite Executive, or growth-focused professional, this episode will challenge your thinking and offer practical strategies you can implement today.

Ian Ross founded SomeraRoad in 2016, bringing a fresh, entrepreneurial approach to opportunistic real estate in growing secondary cities nationwide. He has since led the firm's rapid expansion, overseeing nearly $2.5 billion in acquisitions of 25+ million square feet in more than 70 unique markets. Ian has also augmented SomeraRoad's core value-add business, building new verticals in industrial net lease, distressed debt, and opportunity zone investing and creating a robust ground-up development practice. Today, SomeraRoad is arguably the fastest-growing commercial real estate investment and development company in the USA. On this episode, Jake and Ian discuss: Building SomeraRoad Micro-neighborhoods Having local expertise at a national scale Placemaking and Hospitality in Office and Hotel assets Connect & Invest with Jake: Follow Jake on X: https://x.com/JWurzak 1 on 1 coaching with Jake: https://www.jakewurzak.com/coaching Learn How to Invest with DoveHill: https://bit.ly/3yg8Pwo Links: SomeraRoad Ian on LinkedIn Topics: (00:00:00) - Intro (00:03:50) - Ian's entrepreneurial journey (00:06:27) - Biggest lessons learned on someone else's dime (00:08:37) - Do local operators tend to miss out on macro trends? (00:15:09) - Early decisions to make when considering entering a new asset class (00:20:05) - Raising capital & funds (00:28:47) - Focusing on neighborhoods instead of cities (00:31:13) - Setting up local offices (00:34:36) - How has your thoughts on placemaking changed? (00:41:45) - What's your approach to hospitality? (00:46:23) - How much do you think about competitors in your local market? (00:50:58) - 1 Hanover Square (00:56:51) - Keeping teams interconnected and hiring,  (00:59:39) - How do you keep the pulse on whether you're hitting goals? (01:00:45) - The industrial net lease space (01:02:26) - Where do you get inspiration? (01:04:41) - What are your goals for the next 5 years? (01:05:29) - What's been your favorite deal? (01:08:27) - What's your favorite hotel? This episode originally aired in February of 2024

Cyber threats continue to expand at a time when the Trump administration seems inclined to reduce resources focused on cybersecurity. Could AI tools fill the gap? Maybe, says my next guest, if deployed thoughtfully and with human oversight. The Founder and CEO of Electrosoft, Dr. Sabari Gupta joins me now.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In his classic essay on the fear of breakdown, Donald Winnicott famously conveys to a patient that the disaster powerfully feared has, in fact, already happened. Taking her cue from Winnicott, Noëlle McAfee's Fear of Breakdown: Psychoanalysis and Politics (Columbia University Press, 2019), explores the implications of breakdown fears for the practice of democracy. Democracy, as you may dimly recall, demands the capacity to bear difference, tolerate loss, and to speak into the unknown. Meanwhile we have come to live in a world where, if my clinical practice and personal life are any indication, people often prefer writing to speaking. Patients who want to make a schedule change--never a neutral event in psychoanalysis—write me. I say, addressing the resistance, “This is a talking cure. Get your money's worth. Speak!” Among intimates, bad news is something I too often read about. I surmise that in speaking desire or conveying pain, a fantasized recipient is sought, an ideal listener, who, like a blow up doll lover can be invoked, controlled and then deflated at will. Circling back to difference and loss, ideas that do not mirror our already existing thoughts find themselves batted out of the park to an elsewhere not worth enunciating. Cultivating a protective bubble—such a heartbreak right?  It seems there is something about democracy that frightens the shit out of us. Deploying the work of Winnicott, Klein, Green and Kristeva, Mcafee reminds us of our original loss—what she calls “plenum”. That loss, to the degree it is recognized, initiates our undoing. Mother's other—be it her lover, her piano lessons, a visit to the dentist for a cavity—tears a hole in our emotional shield. In her wake, we cling to seemingly strong leaders, a father, or failing that potent ideologies reeking of misogyny, all the while hoping for compensation for an unfathomable loss. Embedded within democracy lies the demand that we see other than ourselves. This demand challenges the thin-skinned among us. And all of us are thin-skinned from time to time. How to manage? Mcafee adds her voice to the popular chorus of those practicing applied psychoanalysis and suggests we embrace mourning. It is an inarguable position yet also nice work if you can get it! Of course, with the original disaster elided, like sleepwalkers in our night fog, we will helplessly seek it out; worse, we will make it manifest, with a vengeance. What is not remembered gets repeated. Trapped in America, as I am, one wonders about democracy. What might lure us to revisit the sight of the disaster, “the thing itself',” to quote Adrienne Rich, “and not the myth?” Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

In his classic essay on the fear of breakdown, Donald Winnicott famously conveys to a patient that the disaster powerfully feared has, in fact, already happened. Taking her cue from Winnicott, Noëlle McAfee's Fear of Breakdown: Psychoanalysis and Politics (Columbia University Press, 2019), explores the implications of breakdown fears for the practice of democracy. Democracy, as you may dimly recall, demands the capacity to bear difference, tolerate loss, and to speak into the unknown. Meanwhile we have come to live in a world where, if my clinical practice and personal life are any indication, people often prefer writing to speaking. Patients who want to make a schedule change--never a neutral event in psychoanalysis—write me. I say, addressing the resistance, “This is a talking cure. Get your money's worth. Speak!” Among intimates, bad news is something I too often read about. I surmise that in speaking desire or conveying pain, a fantasized recipient is sought, an ideal listener, who, like a blow up doll lover can be invoked, controlled and then deflated at will. Circling back to difference and loss, ideas that do not mirror our already existing thoughts find themselves batted out of the park to an elsewhere not worth enunciating. Cultivating a protective bubble—such a heartbreak right?  It seems there is something about democracy that frightens the shit out of us. Deploying the work of Winnicott, Klein, Green and Kristeva, Mcafee reminds us of our original loss—what she calls “plenum”. That loss, to the degree it is recognized, initiates our undoing. Mother's other—be it her lover, her piano lessons, a visit to the dentist for a cavity—tears a hole in our emotional shield. In her wake, we cling to seemingly strong leaders, a father, or failing that potent ideologies reeking of misogyny, all the while hoping for compensation for an unfathomable loss. Embedded within democracy lies the demand that we see other than ourselves. This demand challenges the thin-skinned among us. And all of us are thin-skinned from time to time. How to manage? Mcafee adds her voice to the popular chorus of those practicing applied psychoanalysis and suggests we embrace mourning. It is an inarguable position yet also nice work if you can get it! Of course, with the original disaster elided, like sleepwalkers in our night fog, we will helplessly seek it out; worse, we will make it manifest, with a vengeance. What is not remembered gets repeated. Trapped in America, as I am, one wonders about democracy. What might lure us to revisit the sight of the disaster, “the thing itself',” to quote Adrienne Rich, “and not the myth?” Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/political-science

In his classic essay on the fear of breakdown, Donald Winnicott famously conveys to a patient that the disaster powerfully feared has, in fact, already happened. Taking her cue from Winnicott, Noëlle McAfee's Fear of Breakdown: Psychoanalysis and Politics (Columbia University Press, 2019), explores the implications of breakdown fears for the practice of democracy. Democracy, as you may dimly recall, demands the capacity to bear difference, tolerate loss, and to speak into the unknown. Meanwhile we have come to live in a world where, if my clinical practice and personal life are any indication, people often prefer writing to speaking. Patients who want to make a schedule change--never a neutral event in psychoanalysis—write me. I say, addressing the resistance, “This is a talking cure. Get your money's worth. Speak!” Among intimates, bad news is something I too often read about. I surmise that in speaking desire or conveying pain, a fantasized recipient is sought, an ideal listener, who, like a blow up doll lover can be invoked, controlled and then deflated at will. Circling back to difference and loss, ideas that do not mirror our already existing thoughts find themselves batted out of the park to an elsewhere not worth enunciating. Cultivating a protective bubble—such a heartbreak right?  It seems there is something about democracy that frightens the shit out of us. Deploying the work of Winnicott, Klein, Green and Kristeva, Mcafee reminds us of our original loss—what she calls “plenum”. That loss, to the degree it is recognized, initiates our undoing. Mother's other—be it her lover, her piano lessons, a visit to the dentist for a cavity—tears a hole in our emotional shield. In her wake, we cling to seemingly strong leaders, a father, or failing that potent ideologies reeking of misogyny, all the while hoping for compensation for an unfathomable loss. Embedded within democracy lies the demand that we see other than ourselves. This demand challenges the thin-skinned among us. And all of us are thin-skinned from time to time. How to manage? Mcafee adds her voice to the popular chorus of those practicing applied psychoanalysis and suggests we embrace mourning. It is an inarguable position yet also nice work if you can get it! Of course, with the original disaster elided, like sleepwalkers in our night fog, we will helplessly seek it out; worse, we will make it manifest, with a vengeance. What is not remembered gets repeated. Trapped in America, as I am, one wonders about democracy. What might lure us to revisit the sight of the disaster, “the thing itself',” to quote Adrienne Rich, “and not the myth?” Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/critical-theory

In this episode of Hanselminutes, Scott Hanselman chats with Roderick Rabah, Head of Product at Postman Flows, about the evolution of software development, the intersection of APIs and AI, and finding the "right layer of abstraction" for problem-solving. Drawing on his deep expertise in compiler optimization, distributed systems, and serverless computing, Rabah shares his perspectives on building tools that empower developers to create efficiently and explores the paradigm shift toward visual programming and AI-driven automation.The conversation dives into how Postman is innovating in the software space, how approaches to software engineering are transforming with generative AI, and why embracing new ways of working is critical for staying ahead in this rapidly evolving technological landscape.  Key Topics[01:08] Introduction of Roderick Rabah: From research scientist to API innovator[02:14] Evolution of software development: From FPGAs to serverless computing[03:23] APIs and AI: The transformative intersection powering workflows[05:33] The rise of tool-calling and agents: Simplifying backend tasks[07:33] Managing complexity: Why structured APIs make integration seamless[12:08] Visual programming languages: The paradigm shift for developers[16:42] Postman Flows: Building applications through visual workflows[20:24] Embracing generative AI: How senior and junior engineers benefit[29:02] Deploying with WebAssembly: Making cloud integration accessible[30:33] Reflections on the future of technology and its impact on software careersMain TakeawaysAPI + AI Integration: APIs combined with large language models are unlocking new capabilities for software development by abstracting complex operations and enabling automation.Visual Programming Paradigm Shift: Applications are increasingly built using visual workflows where developers focus on intent rather than low-level code implementation, driving efficiency and accessibility.Generative AI Empowerment: Generative AI tools are accelerating the pace of innovation, empowering engineers to fix bugs, streamline workflows, and manage edge cases efficiently.Structured APIs Critical for AI: Thoughtfully designed APIs with proper documentation and safeguards are essential to ensure that autonomous AI agents interact correctly and securely.Accessible Deployment: New runtime frameworks, like serverless with WebAssembly, make it easier for developers to deploy applications across the cloud, enabling broader adoption of AI-driven solutions.Notable Quotes"Serverless is where you think about servers less." – Scott Hanselman"At what point does communicating your intent to AI become programming again?" – Roderick Rabah"Visual programming resonates with builders because it matches the mental model of decomposing problems." – Roderick Rabah"Technology transforms rapidly. You have to figure out how to wield this immense power." – Roderick Rabah"Don't throw away your critical thinking just because AI makes building faster." – Roderick RabahResources MentionedPostman Flows – Tools for visual programming and API integrations: postman.comReplit – Generative coding platform for automating development tasks: replit.comWebAssembly – Runtime framework for deploying serverless applications: webassembly.orgBooks on Compiler Theory: Suggested resource for expanding understanding of abstractionsFollow along for more insights, tips, and conversations with industry leaders. These show notes summarize key moments in the podcast for easy reference and understanding - these show notes were generated by a custom gpt-4o-nano model trained in previous episodes of Hanselminutes

Join me as I chat with The Boring Marketer to demonstrate how non-technical marketers can use AI tools like Cursor and Claude Code to build programmatic SEO strategies without coding knowledge. He walks through a complete workflow from keyword research to deploying a live comparison page for AI tools, showing how this approach can potentially generate thousands of targeted pages to capture search traffic. The demonstration highlights how AI is blurring the line between marketers and developers. Timestamps: 00:00 - Intro 01:35 - Cursor Overview 03:50 - Claude Code Overview 09:47 - Using FireCrawl MCP scrape website data 13:13 - Programmatic SEO Explained 15:25 - Benefits of Claude 4 Opus Max 17:48 - Using Perplexity MCP to find AI tool comparison keywords 22:44 - Creating a PRD for the project 24:58 - Using Claude Code for Programmatic SEO 29:21 - Why learn to use tools like Cursor 30:58 - Cursor + Claude Code vs n8n 40:06 - Cost of Claude Code 42:51 - Deploying the page to Vercel 45:28 - Reviewing Deployed Page Get Your Complete Financial OS at https://www.brex.com/sip Key Points: • James (The Boring Marketer) demonstrates how to use Cursor and Claude Code to build programmatic SEO pages without coding knowledge • The workflow combines MCPs (Model Control Protocols) like FireCrawl and Perplexity for research with Claude Code for implementation • James shows how to create a comparison page template for AI tools that can be replicated for thousands of keywords • The entire process from research to deployment happens within the Cursor environment using natural language prompts The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ BoringMarketing — Vibe Marketing for Sale: https://www.thevibemarketer.com Startup Empire - a membership for builders who want to build cash-flowing businesses https://www.skool.com/startupempire/about FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND THE BORING MARKETER ON SOCIALX/Twitter: https://x.com/boringmarketer LinkedIn: https://www.linkedin.com/in/jadickerson/

GOOD EVENING: The show begins in LA, where Colleague John Yoo comments that POTUS has law and SCOTUS authority for deploying National Guard and Marines and more. 1863 DRAFT RIOT NYC CBS EYE ON THE WORLD WITH JOHN BATCHELOR FIRST HOUR 9:00-9:15 LA: POTUS and SCOTUS determinative authority. John Yoo, Civitas Institute. 9:15-9:30 SCOTUS: And the ABA. John Yoo, Civitas Institute. 9:30-9:45 Turkey: Erdogan's Syria project. Sinan Ciddi, FDD. 9:45-10:00 Turkey: The Kremlin model. SECOND HOUR 10:00-10:15 Iran: Suspect nuclear weapons program. Andrea Stricker, FDD. 10:15-10:30 Iran: Suspect nuclear weapons program. Andrea Stricker, FDD. 10:30-10:45 Africa: ISIS in Uganda and Congo. Caleb Weiss, Bill Roggio, FDD. 10:45-11:00 Africa: ISIS in Uganda and Congo. Caleb Weiss, Bill Roggio, FDD. THIRD HOUR 11:00-11:15 PRC: Needs a trade deal. Andrew Collier, @gordongchang, Gatestone, Newsweek, The Hill. 11:15-11:30 USAF: What about drone attacks? General Blaine Holt USAF (Ret.), @gordongchang, Gatestone, Newsweek, The Hill. 11:30-11:45 CCP: Xi Jinping in eclipse. Charles Burton, @gordongchang, Gatestone, Newsweek, The Hill. 11:45-12:00 Biowar: Smugglers from the PRC. Brandon Weichert, @gordongchang, Gatestone, Newsweek, The Hill. FOURTH HOUR 12:00-12:15 #France: Plum tree ripens. Simon Constable, Occitanie. 12:15-12:30 POTUS: Hoover signed Smoot-Hawley June 1930. 12:30-12:45 POTUS: Space regulations arrive. Bob Zimmerman behindtheblack.com. 12:45-1:00 AM Big Astronomy: Colliding galaxy clusters. Bob Zimmerman behindtheblack.com.

MeidasTouch host Ben Meiselas exclusively interviews California Governor Gavin Newsom who responds to Donald Trump calling for his arrest and deploying the Marines in Los Angeles. Visit https://meidasplus.com for more! Remember to subscribe to ALL the MeidasTouch Network Podcasts: MeidasTouch: https://www.meidastouch.com/tag/meidastouch-podcast Legal AF: https://www.meidastouch.com/tag/legal-af MissTrial: https://meidasnews.com/tag/miss-trial The PoliticsGirl Podcast: https://www.meidastouch.com/tag/the-politicsgirl-podcast The Influence Continuum: https://www.meidastouch.com/tag/the-influence-continuum-with-dr-steven-hassan Mea Culpa with Michael Cohen: https://www.meidastouch.com/tag/mea-culpa-with-michael-cohen The Weekend Show: https://www.meidastouch.com/tag/the-weekend-show Burn the Boats: https://www.meidastouch.com/tag/burn-the-boats Majority 54: https://www.meidastouch.com/tag/majority-54 Political Beatdown: https://www.meidastouch.com/tag/political-beatdown On Democracy with FP Wellman: https://www.meidastouch.com/tag/on-democracy-with-fpwellman Uncovered: https://www.meidastouch.com/tag/maga-uncovered Coalition of the Sane: https://meidasnews.com/tag/coalition-of-the-sane Learn more about your ad choices. Visit megaphone.fm/adchoices

MSNBC's Ari Melber hosts The Beat on Monday, June 9th, and reports on the immigration raid protests in Los Angeles and Trump's actions in response. Jacob Soboroff, Maya Wiley, Jose Luis Solache Jr., Ankush Khardori, Antonio Villaraigosa, and Tom Nichols join.

P.M. Edition for June 9. Roughly 500 Marines are deploying to the L.A. area in the wake of protests over immigration. Plus, dozens of companies with no previous ties to cryptocurrency are snapping up bitcoin and other tokens. WSJ reporter Vicky Ge Huang discusses their strategy, and why it might expose crypto to new risks. And a new 50% tariff on imported steel went into effect last week and is pinching the canned foods industry. We hear from Bob Tita, who covers metals and manufacturing for the Journal, about why that could end up costing consumers more. Alex Ossola hosts. Sign up for the WSJ's free What's News newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices