Podcasts about deploying

Top Dems Claim Trump Is Deploying Troops To Cancel 2026 Midterms, DHS Head Noem Faces Down Portland Mayor & Police Chief, Russia Warns Trump Not To Give Ukraine Tomahawks, Text Messages Show Kirk Feared For His Life Day Before Death

The show also took a serious turn with news that a federal judge blocked the National Guard from deploying in Portland, following rising tensions around immigration raids and local protests. See omnystudio.com/listener for privacy information.

The Rickey Smiley Morning Show Podcast dives into a mix of pop culture, celebrity updates, and real-world news, keeping listeners both entertained and informed. The crew kicked things off with reports that Chris Brown’s Memphis “Breezy Bowl” show was suddenly canceled, disappointing fans who had waited months to see him perform. Meanwhile, Ayesha Curry opened up about never planning to be a wife or mother, sparking a heated on-air debate about balancing personal goals and family life. The show also took a serious turn with news that a federal judge blocked the National Guard from deploying in Portland, following rising tensions around immigration raids and local protests. Website: https://www.urban1podcasts.com/rickey-smiley-morning-show See omnystudio.com/listener for privacy information.

We're keeping the chronic rhinitis conversation going in this week's episode of BackTable ENT. Otolaryngologist Dr. Greg Davis joins Dr. Ashley Agan and Dr. Gopi Shah to break down his approach to posterior nasal nerve (PNN) ablation with the NeuroMark Gen 3, including patient prep, anesthesia, technique, and postoperative care.---This podcast is supported by:Neurent Medical http://neuromark.com/---SYNPOSISBeyond his posterior nasal nerve ablation technique, Dr. Davis shares his experiences with the various generations of the NeuroMark device, and also discusses the insurance and billing side of its use. The conversation also touches on topics like eustachian tube dysfunction, chronic cough, and the future of chronic rhinitis treatment.---TIMESTAMPS00:00 - Introduction03:04 - NeuroMark Device Trials04:15 - Patient Presentation and Diagnosis11:50 - Medical Management and Treatment Options21:44 - Procedure Setup and Anesthesia Protocol30:49 - Understanding RF Devices and Their Usage31:13 - Deploying the Device for Turbinate Treatment31:52 - Tips and Tricks for Difficult Anatomy33:58 - Posterior Nasal Nerve Ablation in the OR34:40 - Addressing Posterior Nasal Drainage and Chronic Cough36:51 - Impedance Control vs. Temperature Control RF38:02 - Choosing the Right Device for Patients40:52 - Managing Post-Procedure Care and Risks53:18 - Insurance and Billing56:13 - Final Thoughts and Future Directions---RESOURCESDr. Greg Davis https://www.gregdavismd.com/ 10th International Otolaryngology Underwater Update Coursehttps://ssf.cloud-cme.com/course/courseoverview?P=0&EID=1254

AP correspondent Julie Walker reports a judge temporarily blocks the Trump administration from deploying troops in Portland, Oregon.

Anthony Lopez grew up in the South Bronx, where street life was everywhere. His mom pushed him to join the U.S. Marines to escape the cycle — and he went on to serve in Iraq. But one mistake changed everything. After being caught with a gun off base, Anthony was discharged from the military and sent straight to Rikers Island, eventually serving time in New York State Prison. #USMarine #MarineToPrison #PrisonStory #VeteranLife #PrisonInterview #TrueCrimePodcast #PrisonDocumentary #lockedinpodcast Thank you to PRIZEPICKS for sponsoring this episode: Visit https://prizepicks.onelink.me/LME0/IANBICK and use code IANBICK and get $50 in lineups when you play your first $5 lineup! Connect with Anthony Lopez: https://www.instagram.com/ceotoneofficial?igsh=N2ltcm81dm9xbXdh Hosted, Executive Produced & Edited By Ian Bick: https://www.instagram.com/ian_bick/?hl=en https://ianbick.com/ Presented by Tyson 2.0 & Wooooo Energy: https://tyson20.com/ https://woooooenergy.com/ Use code LOCKEDIN for 20% OFF Wooooo Energy Buy Merch: http://www.ianbick.com/shop Timestamps: 00:00 From U.S. Marine to Prison Inmate: Anthony Lopez's Story 01:10 Growing Up in the Bronx & Early Influences 03:31 Family, Values & Street Temptations 05:16 Teenage Years: Hustle, Risk & Survival 06:56 Choosing the Military to Escape the Streets 10:00 Boot Camp, Infantry Training & Discipline 13:44 Deploying to Iraq: First Impressions & Fear 17:19 Combat, Trauma & Losing Friends Overseas 22:31 Life in Iraq: Mental Toll & Survival Mode 25:53 Coming Home: PTSD & Struggling to Adjust 29:13 Trouble in NYC: Stop-and-Frisk & Arrest 34:32 Military Discharge & Facing Criminal Charges 41:46 Court Battles, Sentencing & Feeling Betrayed 47:13 Rikers Island: Inside One of America's Toughest Jails 50:51 Prison Life: Survival, Violence & Finding Purpose 56:01 Upstate Prison: Fishkill & Building a New Mindset 01:01:49 Becoming a Mentor: Teaching & Rehabilitation Work 01:07:09 Release & Reconnecting with Family 01:13:32 Adjusting to Life After Prison 01:20:47 Lessons Learned & Advice for Young Men 01:27:03 Breaking the Cycle: Creating a Better Future 01:34:08 Final Reflections & Words of Hope Learn more about your ad choices. Visit megaphone.fm/adchoices

Nationwide polling suggests that about half of Americans oppose the deployment of National guard troops to American cities. But the poll also suggests a significant number - 38% - do support deployment. Dan Mason is a National Committeeman for the Oregon Republican Party and former member of the Oregon Ethics Commission. He says while those are national poll numbers, he suspects they reflect Oregon, including its nearly 730,000 registered Republicans. Mason says he thinks Portland officials may be downplaying the city’s problems keeping the peace and protecting the U.S. Immigration and Customs Enforcement building in South Portland. He sees a potentially positive role for National Guard troops in the city. He joins us to tell us more about his views and what he’s hearing from his fellow Republicans in Oregon and across the country.

Expanded, domestic use of the military – and talk of civil war – deserve scrutiny… no matter who's president. As President Trump talks about fighting a war against "the enemy within," we speak with a political scientist about the implications. Then, in Day 1 of the government shutdown, we speak with our Washington reporter Caitlyn Kim. Also, college campuses are microcosms of a lot of the big issues society grapples with, from cultural clashes to the cost of living. The president of Colorado Mesa University offers potential solutions to those issues. And, Colorado Wonders why this airport is named "Happy Butt." 

    HEADLINE: Houthi Attacks Escalate: Targeting Shipping and Deploying Cluster Munitions GUEST NAME: Bridget Toomey 50 WORD SUMMARY: The Houthis struck a Netherlands-flagged cargo ship in the Gulf of Aden. The international community is quiet, as the Houthis interpret the US ceasefire as full permission to target Israel. They are also deploying cluster munition warheads on ballistic missiles against Israel. Houthi systems seem to be improving, penetrating Israeli defenses. CENTCOM considers the current US hands-off policy a strategic defeat. OTTOMANS

AP Washington correspondent Sagar Meghani reports on a National Guard deployment to Oregon over state objections.

Zombie Ass: Toilet of the Dead. Charlie, and his friends, once boogie boarded in a flooded parking lot. Prime Vision uses augmented reality during broadcast of sports games. Offsides. JLR apartment hunting. Hot girls for Luigi Mangione. Revolution in Europe. Kissing bug disease. Publisher's Clearing House filed for bankruptcy and what that means for some of their winners. Deploying the National Guard. Duji was showing her dying cat on a show video call. The text thread between Tyler Robinson and their transgender furry roommate. Charlie doesn't believe the validity of the text. See omnystudio.com/listener for privacy information.

Publisher's Clearing House filed for bankruptcy and what that means for some of their winners. Deploying the National Guard.  See omnystudio.com/listener for privacy information.

Zombie Ass: Toilet of the Dead. Charlie, and his friends, once boogie boarded in a flooded parking lot. Prime Vision uses augmented reality during broadcast of sports games. Offsides. JLR apartment hunting. Hot girls for Luigi Mangione. Revolution in Europe. Kissing bug disease. Publisher's Clearing House filed for bankruptcy and what that means for some of their winners. Deploying the National Guard. Duji was showing her dying cat on a show video call. The text thread between Tyler Robinson and their transgender furry roommate. Charlie doesn't believe the validity of the text.

Publisher's Clearing House filed for bankruptcy and what that means for some of their winners. Deploying the National Guard.  

I asked my followers what data product I should build next, and they voted: a Pokémon card analytics tool. So, I rolled up my sleeves and built a market analytics platform using Replit and its vibe-coding agent to get from idea to deployable MVP in a few hours! Today's video guides you through the process step by step, so you can build something similar—even if you have 0 technical background.✨ Try vibe-coding yourself with Replit!!! https://replit.com/refer/AveryDatap.s. this is an affiliate link, so I will earn credits if you end up using Replit - but I truly love this tool!Check out my Pokémon card analytics app here and let me know what you think!

Governor Newsom's response to crime remains a key concern for Californians, especially with increased threats from the Trump Administration to deploy the National Guard. Omar Opeyany reports on Newsom's policy.

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.

04:30 Panelist Betsy Brantner Smith gives rundown on feds in Chicago16:51 Mayor of D.C. shows full corporation with Trump takeover of city21:46 Judge set by Clinton blocks Trump from deploying National Guard in LA36:04 Officer resigns after throwing suspect to the ground during arrestLEO Round Table (law enforcement talk show)Season 10, Episode 177 (2,517) filmed on 09/03/20251. https://nationalpolice.org/national-police-association-spokesperson-sgt-betsy-brantner-smith-ret-tells-newsmax-chicago-needs-federal-law-enforcement-and-the-national-guard/https://nationalpolice.org/national-police-association-spokesperson-sgt-betsy-brantner-smith-ret-tells-newsmax-chicagos-sanctuary-policy-endangers-federal-agents/https://nationalpolice.org/npa-spokesperson-sgt-betsy-brantner-smith-ret-tells-newsmax-prosecutions-are-as-important-as-arrests/https://nationalpolice.org/npa-spokesperson-sgt-betsy-brantner-smith-ret-joined-newsmax-re-chicago-not-requesting-federal-help/https://www.nbcchicago.com/news/local/exclusive-trump-administration-tells-pritzker-ice-is-coming-to-chicago/3818328/2. https://nationalpolice.org/npa-spokesperson-sgt-betsy-brantner-smith-ret-joined-newsmax-regarding-crime-fighting-success-in-d-c/https://www.washingtonpost.com/politics/2025/09/02/bowser-dc-federal-law-enforcement-trump-takeover/3. https://www.huffpost.com/entry/donald-trump-la-takeover-judge-illegal_n_68a4af99e4b0beb96b88f8b1https://www.rvmnews.com/2025/09/clinton-appointed-judge-blocks-trump-from-deploying-national-guard-to-los-angeles/4. https://rumble.com/v6ybyh0-juneau-police-officer-seen-on-video-throwing-man-to-ground-resigns-from-for.html?e9s=src_v1_upp_aShow Panelists and Personalities:Chip DeBlock (Host and retired police detective)Mark Lamb (retired Sheriff of Pinal County)Betsy Brantner Smith (retired sergeant and owner of The Winning Mind LLC)Related Events, Organizations and Books:Retired DEA Agent Robert Mazur's works:Interview of Bryan Cranston about him playing Agent Robert Mazur in THE INFILTRATOR filmhttps://vimeo.com/channels/1021727Trailer for the new book, THE BETRAYALhttps://www.robertmazur.com/wp-content/uploads/2023/05/The-Betrayal-trailer-reMix2.mp4Everything on Robert Mazurhttps://www.robertmazur.com/The Wounded Blue - Lt. Randy Sutton's charityhttps://thewoundedblue.org/Rescuing 911: The Fight For America's Safety - by Lt. Randy Sutton (Pre-Order)https://rescuing911.org/Books by panelist and retired Lt. Randy Sutton:https://www.amazon.com/Randy-Sutton/e/B001IR1MQU%3Fref=dbs_a_mng_rwt_scns_shareThey're Lying: The Media, The Left, and The Death of George Floyd - by Liz Collin (Lt. Bob Kroll's wife)https://thelieexposed.com/Lt. Col. Dave Grossman - Books, Newsletter, Presentations, Shop, Sheepdogshttps://grossmanontruth.com/Sheriff David Clarke - Videos, Commentary, Podcast, Shop, Newsletterhttps://americassheriff.com/Content Partners:Red Voice Media - Real News, Real Reportinghttps://www.redvoicemedia.com/shows/leo/ThisIsButter - One of the BEST law enforcement video channelshttps://rumble.com/user/ThisIsButterThe Free Press - LEO Round Table is in their Cops and Crimes section 5 days a weekhttps://www.tampafp.com/https://www.tampafp.com/category/cops-and-crime/Video Show Schedule On All Outlets:http://leoroundtable.com/home/syndication/Syndicated Radio Schedule:http://leoroundtable.com/radio/syndicated-radio-stations/Sponsors:Galls - Proud to serve America's public safety professionalshttps://www.galls.com/leoCompliant Technologies - Cutting-edge non-lethal tools to empower and protect those who servehttps://www.complianttechnologies.net/The International Firearm Specialist Academy - The New Standard for Firearm Knowledgehttps://www.gunlearn.com/Aero Precision - "When Precision Counts”https://www.aeroprecisionusa.com/MyMedicare.live - save money in Medicare insurance options from the expertshttp://www.mymedicare.live/

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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 […]

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.

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.

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/

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