Podcasts about Cloud

195 Funeral Planning, Grief, and Hospice: Bob Arrington on Why Celebrating a Life Matters Host Marie Betcher, a registered nurse and former hospice nurse, interviews Bob Arrington, NFDA spokesperson and longtime Tennessee funeral director, about how funeral service supports the grief journey and why planning matters. Arrington explains that families don't call a funeral director just to bury or cremate, but to begin adjusting to a "new normal," and that skipping any kind of service often makes grief harder for family and community. He encourages pausing to honor a life even with simple gatherings, and stresses that pre-planning (not necessarily pre-paying) reduces emotional stress by preventing loved ones from making major decisions in crisis. They discuss hospice as a major benefit that supports care and dying at home, grief resources through NFDA and Alan Wolfelt, the importance of individualized grief timelines, and NFDA's "Have the Talk of a Lifetime" conversation cards. 00:00 Welcome and Disclaimer 00:28 Meet Host Marie 00:41 Introducing Bob Arrington 02:47 Bob's Funeral Calling 03:59 Why Services Matter 08:57 Community Grief Ripples 11:53 Grief Support Resources 15:37 When Grief Becomes Physical 17:53 Funeral Process Explained 21:49 Preplanning Without Fear 27:45 Prepay vs Emotional Relief 31:05 Hospice and Final Takeaways 33:06 Contact and Closing https://www.nfda.org/ Link to Bob's episode "Death It's a Living" https://www.imdb.com/title/tt3573530/ https://www.nfda.org/your-business/business-resources/remembering-a-life/have-the-talk-of-a-lifetime/conversation-cards/ If you want to help, you can donate to help support Hospice Explained at the Buy me a Coffee link   https://www.buymeacoffee.com/Hospice  Hospice Explained Affiliates & Contact Information Buying from these Affilite links will help support this Podcast.  Maire introduces a partnership with Suzanne Mayer RN inventor of the  cloud9caresystem.com,  When patients remain in the same position for extended periods, they are at high risk of developing pressure injuries, commonly known as bedsores. One of the biggest challenges caregivers face is the tendency for pillows and repositioning inserts to easily dislodge during care.(Suzanne is a former guest on Episode #119) When you order with Cloud 9 care system, please tell them you heard about them from Hospice Explained.(Thank You) Marie's Contact Marie@HospiceExplained.com www.HospiceExplained.com   Finding a Hospice Agency 1. You can use Medicare.gov to help find a hospice agency, 2. choose Find provider 3. Choose Hospice 4. then add your zip code This should be a list of Hospice Agencies local to you or your loved one.

8-2-2026 / Your Cloud Stands Over Them / Pastor Ben Glupker

It is a trip to the spa unlike anything Remy Meraz has experienced. It was really like I was on vacation.这次水疗经历与雷米·米拉兹以往经历过的都不一样。感觉我真的像是在度假一样。Meraz picks a location she wants to experience. Then she gets geared up with a virtual reality headset.米拉兹选择了一个她想体验的地方，然后戴上了虚拟现实耳机。She has the massage chair adjusted to her size and intensity preference, and sinks in for a virtual vacation. And an immersive multi-sensory experience begins.她根据自己的身材和强度偏好调整好了按摩椅，并沉浸在虚拟度假中。 一场身临其境的多感官体验开始了。A fan, infrared heat, and aromatherapy with scents in the air are all triggered, when the user enters the virtual world in their headset.当用户进入头显中的虚拟世界时，会触发风扇、红外线加热器和带有香味的空气芳香疗法。Your mind processes the sense, it processes the warmth, it processes for, you know, the tropical treat, the wind from the fans, and so you really believe you're in these environments.你的大脑处理着感官信息，处理着温暖的感觉，处理热带的感觉，以及风扇吹来的风，你真心相信自己置身于这些环境中。The heat lamp gives users the feeling of the Sun's warmth on their face, or in front of a cozy fireplace.加热灯让用户的脸上能感受到阳光的温暖，或感觉像在舒适的壁炉前一样。In addition to this cabin on a cold winter's day, other experiences include a calm pool in Morocco, and even an outerspace experience.除了这个寒冬中的小屋，还有其它度假体验，包括摩洛哥的宁静泳池，甚至还有外太空体验。Meraz chose a trip to the forest waterfalls.米拉兹选择了去森林瀑布旅行。I could smell the aroma of what it would feel like in a forest. It was, you know, woodsy sense. I could feel cool air blowing on me.我能闻到森林里的香气。就像是那种身处树林间的感觉。我能感受到迎面吹来了凉爽的风。These virtual locations still do not look quite like video of a real place.这些虚拟的地点看起来仍然不太像真实的场景。And for some users, the headset does make it tough to get a good neck massage.对于一些用户来说，戴着耳机确实让他们很难获得良好的颈部按摩体验。But for Meraz, she got the ultimate proof of relaxation.但对于米拉兹来说，她得到了充分的放松。There are three different points where I almost fell asleep.有三个地方我差一点就要睡着了。Currently the 35-dollar mini vacation is only available in Los Angeles.目前，35美元的迷你假期仅在洛杉矶提供。The goal is to license this virtual experience to other cities, so hotels, spas, and offices can give people a quick escape from the stresses of the real world. 目标是将这种虚拟体验授权给其他城市，这样酒店、水疗中心和办公室就能让人们快速逃离现实世界的压力。

0:00 Welcome and intro1:00 Origin story: a 2002 AI research spinoff that became Markup AI3:27 Why Matt says "content is the next code"4:16 Real client results: productivity, quality, and the previously unimaginable6:13 Cloud infrastructure and how Markup AI works across multiple LLMs7:29 How Markup AI proves impact with standards and risk scoring9:32 The agent to agent economy and machine readable brand11:12 A quick detour on the metaverse and multiverse content11:48 Matt's life outside the CEO seat12:32 Teaching media literacy in the age of AI13:57 Gartner's guardian agents and why AI has to check AI15:02 Deterministic trust scores explained15:51 Who checks the checker: verifying Markup AI's own agents16:17 Selling safety, confidence, and revenue through search visibility17:10 The shift from traditional search to AI powered discovery18:24 Where paid search fits in an AI first world19:55 Predicting search one to two years out21:37 Tackling the AI slop problem22:55 AI influencers worth following24:10 What a great 2026 looks like for Markup AI24:48 Where to find Matt and Markup AI

durée : 00:59:32 - Soft Power - Derrière l'image légère et immatérielle du "cloud" se cache une infrastructure physique colossale qui soutient nos usages numériques quotidiens. Comment les data centers sont-ils devenus l'épine dorsale d'Internet, et pourront-ils répondre durablement à l'explosion des besoins numériques de l'IA ? Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France

Caller Questions & Discussion: Dr. Jill discusses parental PTSD and how a hijacked nervous system can lead to catastrophizing, overgeneralizing, and rumination. If you struggle with parental PTSD, ask yourself: When did I first feel this way before becoming a parent? I sold my home and invested in building a new home with my fiancé, but he didn't contribute financially, and the home was destroyed by a hurricane. Now he's unsure about marriage and wants a prenup. What should I do? I've been married for 43 years. My husband is emotionally avoidant, and two years ago he told me he didn't love me anymore. He's in counseling now, but we haven't been intimate for 30 years. I feel stuck and afraid. Is there hope for our marriage? On Mother's Day, my husband told me he wants a divorce. We have children with special needs and haven't been intimate for 16 years, but I don't want our marriage to end. He's even started improving his appearance. Am I wrong to hold onto hope? When should I expect a call from my boss after being laid off last week? He's also my friend, and I helped him get the job. Should I reach out?

AI is everywhere, but are property management companies asking the right questions before implementing it? In this episode of the #DoorGrowShow, Jason Hull sits down with Mo Hussain to discuss why successful AI adoption has far less to do with technology and far more to do with operational clarity. Instead of chasing the latest AI tools, Mo introduces his Measure, Map, Automate framework to identify operational bottlenecks, uncover hidden profit leaks, and build workflows that actually improve business performance.  Together, they explore why clean data is the foundation of automation, how undocumented processes create costly inefficiencies, and why AI should enhance human decision-making rather than replace it.   You'll Learn [00:00] Meet Mo Hussain and the Measure, Map, Automate Framework [03:20] Why Most Companies Ask the Wrong AI Questions [08:10] The Role of Clean Data in AI Success [12:45] Mapping Workflows Before Automating Them [15:30] The Process Myth and Better Operational Systems [21:10] Building Accountability Into AI Workflows [25:15] Designing AI Agents That Actually Perform [27:45] Turning Operational Data Into Business Growth [29:15] Final Advice for Property Management Leaders Quotables "AI value really truly is workflow value." Mo Hussain  "AI depends on trusted operational data." Mo Hussain  "The winners are not gonna be the companies that have the most amount of data, but they're the ones that can convert data into consistent operating actions." Mo Hussain  Resources DoorGrow and Scale Mastermind DoorGrow Academy DoorGrow on YouTube DoorGrowClub DoorGrowLive Transcript Jason Hull (00:00) welcome everybody. I'm Jason Hull, the founder and CEO of DoorGrow, the world's leading and most comprehensive coaching and consulting firm for long-term residential property management entrepreneurs. For over a decade and a half, we have brought innovative strategies and optimization to the property management industry.   At DoorGro, we are on a mission to transform property management business owners and their businesses. We want to transform the industry, eliminate the BS, build awareness, change perception, expand the market, and help the best property management entrepreneurs win. Now let's get into the show. And my guest today is Mo Hussain, and we're going to be talking about how property management companies can stop drowning in data and start turning it into real operational growth. In this episode,   Mo is breaking down the measure, map, and automate framework that he has built and approach an approach to uncovering hidden margins, reducing manual oversight, and getting more value out of every door in your portfolio.   right.   is Mo Hussain. Mo, welcome to the show.   Mo Hussein (01:01) Hey Jason, happy to be here.   Jason Hull (01:03) So today we're going to be chatting a little bit about how property management companies can stop drowning in data and start turning it into real operational growth. And Mo's going to break down the measure, map, and automate framework, his approach for uncovering hidden margins, reducing manual oversight, and getting more value out of every door in your portfolio. So cool, measuring is important. We'll get into that. So before we get into that, Mo,   Can you give people a little bit of background on yourself? How did you get into entrepreneurism? How did you get connected to property management? And help everybody understand who Mo is. Yeah.   Mo Hussein (01:42) Yeah.   great question. So I I've been in this industry now for probably coming up on 20 years at this point. I I worked at some of the prop tech and software providers that are prevalent in the space. Namely, I worked at both YARTI App Folio, which are both kind of headquartered in in Santa Barbara. and a little bit over ten years ago, I started a consultancy and accounting CPA practice that specifically focuses on   Jason Hull (01:56) Namely, I worked at both YARDIE and at Folio, which are both kind of headquartered in in Santa Barbara. a little bit over ten years ago, I started a consultancy and accounting TPA practice that specifically focuses   on prop tech and real estate. So we offer consultations with implementations, custom reporting, operationalizing around technology, which is which is now the buzz around kind of AI and automation at this point.   Mo Hussein (02:11) Prop tech and real estate. So we offer consultations with implementations, custom reporting, operationalizing around technology, which is which is now the buzz around kind of AI and automation at this point. and then   we've also built products for the space to help with automations, help with you know accounting compliance and bringing visibility and custom reporting capabilities to operators. So kind of leveraging all the experience.   Jason Hull (02:25) And then we've also built products for the space to help with automations, help with you know, accounting compliance and bringing visibility and custom reporting capabilities to operators. So kind of leveraging all the experience   Mo Hussein (02:40) from working as a consultant and also as an accountant and even working as some of these tech providers now being a actual supplier in the industry.   Jason Hull (02:41) from working as a consultant and also as an accountant and even working as some of these tech providers now being a aqua supplier in the industry. Very cool. Very cool. So you're a little bit nerdy.   Mo Hussein (02:52) A little bit. Data. I love data. Right.   Jason Hull (02:53) Okay, so am I. So am I. All right. So   cool. So let's talk nerdy to me, Mo. All right. So let's let's chat about this. So let's get into it. So t tell us about this. Wha why is this wh how'd you come up with this framework? Why is this important? I love frameworks because frameworks are usually where we take something that we notice a pattern in, there's some complexity involved, and we make it simple. So explain to us.   Mo Hussein (02:59) Yeah.   Jason Hull (03:18) Where does the measure map and automate framework kind of come from?   Mo Hussein (03:22) Right, right. And this is this kind of stems from a conversation you probably have with plenty of your your clients and even prospects when you start engaging, you know, the the the very popular question now of how do we use AI? I want to streamline and automate. And it's a very loaded, it's a very loaded, fairly ambiguous question, right? How do we use AI? We want to implement AI into our operations, right?   Jason Hull (03:23) And this is this kind of stems from a conversation you probably have with plenty of your   You know, the the the the very popular question now, how do we use AI? It's a very loaded, fairly ambiguous question, right? How do we use AI? We want to implement AI more.   Mo Hussein (03:48) when conversely, like you know, operators and property managers should be starting with a different qu set of questions, right? Like how like where are we losing things like NOI, margin, time, control, or even consistency, right? AI really only matters when it connects and automation really only matters when it connects to a to a revenue lever or some type of a cost lever or productivity gain or or risk reduction, right?   Jason Hull (03:50) Conversely, like you know, operators, property managers should be starting with a different set of questions, right? Like how like where are we losing things like NOI, margin, time, control, or even consistency, right? AI really only matters when it connects in automation really only matters when it connects to a to a revenue lever or some type of a cost lever, productivity gain or or risk reduction,   right? Yeah. there's there's a couple   Mo Hussein (04:14) and there's there's a couple of key components   Jason Hull (04:16) key components in even conversations that you've probably even had with with property managers today is that firstly like you know operators today they already have a lot of data. They probably have access to a lot of different data sets across, you know, operations, but it's probably, you know, disconnected and disjointed and different reports and disconnected systems, hidden in spreadsheets and and dashboards that probably don't drive much much action, right? and everybody wants   Mo Hussein (04:17) in even conversations that you've probably even had with with property managers today is that firstly, like, you know, operators today, they already have a lot of data. They probably have access to a lot of different data sets across, you know, operations, but it's probably, you know, disconnected and disjointed and different reports and disconnected systems hidden in spreadsheets and and dashboards that probably don't drive much much action, right? and everybody wants to   Jason Hull (04:43) to automate and execute   Mo Hussein (04:43) automate and execute an   operational kind of workflow. But the hard part is not whether, you know, AI can really do something, but the hard part is whether a company even knows where value is leaking and who owns that action and and whether these workflows are even clear enough to to be able to automate. And that's kind of the premise of this framework is to kind of measure what that pain is, you know, map that workflow, automate that repetitive work and manage   Jason Hull (04:45) an operational kind of workflow. The hard part is not whether you know AI can really do something, but the hard part is whether a a company even knows where value is leaking and who owns that action and and whether these workflows are even clear enough to to be able to automate. And that's kind of the premise of this framework is to kind of measure what that pain is, you know, map that workflow, automate that repetitive work, and   manage ideally performance through some type of closed loop accountability. We just put an actual word to it, right? A framework to it, I'm sure   Mo Hussein (05:07) ideally performance through some type of a closed loop accountability. We just put an actual word to it and a framework to it, but I'm sure very   similarly to the conversations that you're probably having also even with customers.   Jason Hull (05:15) Very similarly to the conversations that you're probably having also with customers.   Yeah, yeah, got it. Yeah. it's interesting because we're now seeing a lot of these tech companies or tech forward companies that are kind of backtracking on AI a little bit. They were giving out basically blank checks to use AI as much as they could. Some were even creating sort of a contest internally, incentivizing like who could use the most tokens.   Mo Hussein (05:29) Mm.   Right.   You're right.   Jason Hull (05:41) Which is a little bit insane   to just give people a blank check as if that always the more tokens you burn, the more productivity is being created, right?   Mo Hussein (05:51) Right, right, right. And we're seeing, yeah, and you know, as we're seeing these newer models that are coming out, whether it's, you know, through Cloud, Anthropic or even these other these other LLMs, the token utilization is becoming more and more expensive, especially with these newer models. And so now the question of just like, hey, how is that utilization actually translating to actual business value? Right. And this was a question that eventually would have been would have been pushed, right?   Jason Hull (05:54) Yeah and you know.   Of just like, hey, how's that utilization actually translating to actual business value? Right.   Yeah. Yeah. Yeah. I love it. Like how to use AI. Yeah. Bad question. A better question is how do we actually make sure we're creating more profit? How do we actually make sure we are lowering costs? Like   And that's the the idea, they think, well, AI must be so much cheaper than people. And what's interesting, I've also seen some reports lately showing the amount of money these different LLMs are losing right now. They're spending a massive amount of money to deliver AI to us at a super cheap price right now. And but they're losing money. Every time we're chatting, they're losing money.   Mo Hussein (06:47) Mm-hmm.   Right.   Right.   Jason Hull (07:01) And that's that's a wild business model. They're obviously hoping to win some sort of AI race. They're hoping to get us maybe in the future. And there's a lot of talk lately as well of people thinking we gotta shift to local models. Like we gotta I gotta run this AI stuff on my own computer and not be giving all my money to anthropic or open AI you know, open AI or whatever. So okay.   Mo Hussein (07:15) Mm-hmm.   Right, right.   Right.   Jason Hull (07:26) Cool. So let's continue on. Me measure, map and automate. Yeah. Yeah.   Mo Hussein (07:29) Yeah. Yeah. And   by the way, going on your point, Jason, it's you know, you you also, you know, creating automation and leveraging these models locally, it there's definitely value in that. But you know, now more than ever, f you know, teams are kind of distributed, right? And so ideally, if you've built automations and leveraging these L LMs and   Jason Hull (07:35) Yeah, y you also you know   Locally it is definitely that   Teams are kind of distributed, right? Yeah. Ideally, if you've built automations and leveraging these LLMs   and   Mo Hussein (07:52) And things of that sort.   You probably want to have like some type of an interface that's like cloud based, right? Or for folks to be able to kind of collaborate in some type of a ideally like a safe environment, right? and so measure, map and and automate. So you know, there's there's kind of those three components to be able to actually fully ideally leverage leverage AI. But   Jason Hull (07:55) some type of a an interface that's like cloud based, right? Or for folks to be able to kind of collaborate in some type of a ideally like a safe environment, right? yeah. So measure, map and and automate. So you know there's there's kind of those three components to be able to actually fully ideally leverage leverage AI but   there's there's a couple like kind of key core components that feel like   Mo Hussein (08:20) There's there's a couple of like kind of key core components that I feel like   is very important for folks to to really understand before they can they they can even take advantage of of AI, right? so one is you know AI, AI value really truly is workflow value. And so like the most the biggest opportunities when it comes to automation leveraging AI is things that are repetitive.   Jason Hull (08:25) is very important for folks to to really understand before they can they they can take advantage of of AI, right? so one is, you know, a AI AI value really truly is a workflow value. And so like the most   automation leveraging AI as things that are   repetitive, you know, judgment heavy, ideally high volume workflows. Think about things like you know, leasing follow-up, delinquency, turns, maintenance, triage, variance explanations. another another key thing to understand is you know AI depends on trusted ideal operational data. And so if you don't have accurate or clean property unit, resident, vendor,   Mo Hussein (08:44) you know, judgment heavy, ideally high volume workflows. Think about things like you know, leasing follow-up, d delinquency, terms, maintenance triage, variance explanations. another another key thing to understand is, you know, AI depends on trusted ideally operational data. And so if you don't have accurate or clean property unit, resident vendor   payment data and it's and it's inconsistent, you know, AI just   Jason Hull (09:10) payment data and it's and it's inconsistent, you know,   AI just helps accelerate the wrong answer, right? This notion of like hallucinations also kind of exist. and you know insights without ownership is is just is really just theater. And so although AI may identify a problem and recommend an action, things need to be routed, right? And asci you know action needs to be assigned, there needs to be some accountability that gets created there and then a measurement of of of   Mo Hussein (09:13) helps accelerate r the wrong answer, right? And the this notion of like hallucinations also kind of exist. and you know insights without ownership is is just is really just theater. And so although AI may identify a problem and recommend an action, things need to be routed, right? And as I you know action needs to be assigned. There needs to be some accountability that gets created there and then a measurement of of of a   of of a of a result.   Jason Hull (09:40) of of a of a   result. and then lastly like humans humans control still matters, right? Things that have a very high potential opportunity cost. you know, operators should be very careful on how they utilize AI. So, you know, things around fair housing, sensitive sensitive decisions like screenings, evictions, legal communication, you know, employee decisions and maybe even large payment loopholes and so   Mo Hussein (09:42) and then lastly like humans, humans control still matters, right? Things that have a very high potential opportunity cost. you know, operators should be very careful on how they utilize AI. So, you know, things around fair housing, sensitive sensitive decisions like screenings, evictions, legal communication, you know, employee decisions and maybe even large payment approvals. And so   Once we   have these kind of these table stake table stake items, if you will, kind of address, then you know we can move on to kind of you know the our framework of kind of measure, map, and automate. And so in each of these different components have different purposes, you know. The whole point of the measure step is is to quantify where pain exists and to validate kind of being buying versus buy like building. And so you want to ask things like where   Jason Hull (10:09) Once we have these kind of these table stakes stakeheads, if you will, kind of addressed, then you know, we can move on to kind of, you know, the our framework of kind of measure, map, and automate. And so and each of these different components have different purposes, you know. The whole point of the measure step is is to quantify where pain exists and to validate kind of being buying versus buy like building. And so you want to ask things   like where   Mo Hussein (10:36) where   time, where margin, where service quality or accountability is lost today, right? Examples can be things like, you know, days vacant, you know, delinquency rate, maintenance response times. These would be kind of like outputs like invoice coding time, reporting hours, renewal conversions, right?   Jason Hull (10:37) Where time, where margin, where service quality or accountability is lost today, right? Examples can be things like, you know, days vacant, you know, delinquency rate, maintenance response times. These would be kind of like outputs like invoice coding time, reporting hours, renewal conversions, right?   Yeah. Got it. Yeah, that that makes a lot of sense. So you've got to be you have to have good data.   Which the crux of th where their data is all probably housed is inside of their property management software.   Mo Hussein (11:06) Right.   Jason Hull (11:07) And so hopefully that software is kinda tracking some of this stuff. But, you know, everybody's had a CRM that the team didn't put enough notes in. And then it becomes kind of useless, right? So you're like, what happened with Fred on that call earlier, you know, or previously? I I think I think we talked about this. Can't remember. Why aren't you putting in notes? And so then the flaw becomes the human in the loop in a lot of instances. But then you're saying, you know, also humans matter. Like   Mo Hussein (11:14) Right.   Right.   Jason Hull (11:34) Related to fair housing. We've got to have the human in the loop making decisions. I don't think it would go fair very well to be standing in front of a judge and say, Well, the AI messed this up. It wasn't me.   Mo Hussein (11:43) Right. Right.   Right. Yeah, that's very that's very correct. the the the other thing is is that you know software is a tool, right? So they you know, for like that example that you just gave of like, hey, you know, I had a conversation with Freddie or an owner or what have you, and you know, the notes weren't captured. And so if there's if if if if there's there needs to be also a cultural   Jason Hull (11:46) Yeah, that's very that's very   Yeah, they you know, put like that example that you just gave of like, Hey, you know, I had a conversation   And you know, the notes weren't captured. And so if there's if if if if there's there needs to be also   Mo Hussein (12:06) shift within the organization to become more performance kind of driven, right? And using, you know, places of truth. You know, I, you know, we use Salesforce in our own internal kind of CRM and you know, there's this old ad like this old saying of just, you know, hey, if it didn't happen to Salesforce, it didn't happen at all. In other words, if your system of record hasn't been updated and things haven't been added to it   Jason Hull (12:06) cultural shift within the organization to become more performance kind of driven, right? And using, you know, places of truth. You know, I you know, we use Salesforce in our own internal kind of CRM and you know, there's this this old like this old thing of just, you know, hey, if it didn't happen in Salesforce, it didn't happen at all. Right.   Mo Hussein (12:29) to to ensure that it is correct and accurate and up to date, then   Jason Hull (12:29) to it to to ensure that it is correct and accurate and up   to date, then the organization sees it as, you know, as it didn't happen. And somebody, you know, using anecdotal feedback like, well I did this, but I just didn't update this. And so that's it's very important that, you know, whatever system you're using to kind of measure different KPIs and metrics, that that, you know, that behaviors within the organization are shifting towards that. And it's it's something it's a cultural shift that needs to also   Mo Hussein (12:32) the organization sees it as you know as it didn't happen. And somebody, you know, using anecdotal feedback of like, well I did this, but I just didn't update this, it means it didn't happen. And so that's it's very important that, you know, whatever system you're using to kind of measure different KPIs and metrics, that that, you know, that behaviors within the organization are shifting towards that. And it's it's some it's a cultural shift that needs to also cascade   also from from leadership down as well.   Jason Hull (12:57) Cascade also from leadership down.   Yeah, the advantage we have nowadays with all the AI stuff that's come out is now pretty much everything gets transcribed everywhere. So calls get transcribed, notes can be created automatically. You can also go back and ha check the transcription on a call or a zoom call or recording, figure out what happened. So that you know, not leaving notes in the CRM is a little bit less of a problem than it was in the past.   So we've so we've chatted a bit about measure. What is what's important about mapping or map? Yeah. So this is this goes back to my previous point about like you know AI value being it it is workflow value. Yeah so you know you've measured you've identified you know your measurements and KPIs. So whatever those KPIs may be. Next what you need to do is map what the actual   Mo Hussein (13:30) The mapping. Yeah. So this is this goes back to my previous point about like, you know, AI value being it is workflow value. And so, you know, you've measured, you've identified, you know, your measurements and KPIs, you know, days vacant, delinquency, whatever those KPIs may be. Next, what you need to do is map what the actual what   the actual workflows that are happening, not how leadership or staff thinks it's happening.   Jason Hull (13:53) what the actual workflows are happening, not how leadership or staff thinks it's   happening. There's a very key kind of a distinction is that, you know, a lot of operators and teams kind of assume, hey, you know, we have a set process, but it may not be happening the way that they are envisioning or the way that they're assuming that this is happening. Yeah. And and map that entire workflow end to end.   Mo Hussein (13:59) The very key kind of distinction is that, you know, a lot of operators and teams kind of assume, hey, you know, we have a set process, but it may not be happening the way that they are envisioning or the way that they're assuming that this is happening. And and map that entire workflow end to end.   identify what systems are involved, where handoffs occur, where approvals are required.   Jason Hull (14:21) identify what systems are involved, where handoffs occur, where approvals are required,   Mo Hussein (14:27) where judgment calls are are are are kind of made. And so, you know, every company has, you know, things like experienced managers and accountants and maintenance folks and and they usually know what good looks like versus what bad looks like. And so AI here is to help kind of convert that tribal knowledge ideally into a repeatable operating model. And so examples of how that mapping   Jason Hull (14:28) where judgment calls are kind of made. And so every company has you know things like experienced managers and accountants and maintenance folks, and and they usually know what good looks like versus what bad looks like. And so AI here helped kind of convert that tribal knowledge ideally into an overviewable operative model. So examples of   that mapping would be is you know, hey, what is the entire need to lease workflow?   Mo Hussein (14:50) would be is, you know, hey, what is the entire lead to lease workflow? You know,   Jason Hull (14:54) You know, what is the work order to completion, you know? what is our renewal offer to sign and executed actual renewal? And so and actually and again documenting that, a a lot of organizations have some notion of what that workflow kinda looks like. but   Mo Hussein (14:54) What is the work order to completion? You know? what is our renewal offer to signed and executed actual renewal? And so and actually, and again, documenting that. A a lot of organizations have some notion of what that workflow kind of looks like. but you know, they   haven't actually done they may not have documented, or if they did, it's not updated and they have an out of date SOP or a process diagram.   Jason Hull (15:12) you know, they haven't actually gotten any INOT documents in or if they did, it's not updated and they have an out of data so P or a process diagram.   Mo Hussein (15:22) And that's that's and that's that's that's a very important kind of key aspect of kind of this process.   Jason Hull (15:22) and that's that's and that's that's that's a very important kind of key aspect of kind of this process. Yeah, yeah. Well I a lot of times I end up talking with clients and I've noticed kind of this pattern or trend in the industry of I call it the process myth where everybody thinks if we just had better processes   all of our hopes and dreams would come true when it comes to the off side of the business and we would be more profitable. And especially see this in the two to four hundred door range in single family or small multi-residential property management. And so the challenge there is th that it's impossible to create enough processes, KPIs, and systems to make mediocre people be great. But they pe that doesn't stop business owners from trying. They they're like   Mo Hussein (15:59) Right.   Right.   Jason Hull (16:04) They they they wake up in the morning, they're like, I want to play an impossible game today. And they they still try. And I call it the process myth because if you have really great people, even if your processes are garbage, that I've seen these businesses still perform well. But the reverse is not true. You have mediocre people, you could have insane amounts of systems and processes and stuff, and the business still has a lot of headaches and problems.   Mo Hussein (16:16) Mm-hmm.   Jason Hull (16:29) And so I've kind of noticed this pattern. I call it the three levels of process. And level one is documentation. It's just like writing stuff out. But that's kind of like the owner's manual in the glove box of the car. Nobody looks at it, it doesn't get updated. You know, it's like it's it's it's gathering dust, and people don't actually, that's not actually how the processes are run. And over time, things gravitate towards ease or grace or what the flows best for the person doing the job.   Mo Hussein (16:39) Mm-hmm, mm-hmm.   Jason Hull (16:57) Not for what's best for the job sometimes. And so it gravitates a little bit towards chaos or being worse. Then there's this level two, which is checklists. This is where people are using things like Asana or Process Street or Lead Simple or they some sort of checklist space system where now they're verifying the works getting done in a certain way. But checklist has its own problems in that it's very linear and not every process is linear.   Mo Hussein (16:59) Right, right.   Read simple. Mm-hmm.   Mm-hmm.   Jason Hull (17:24) There's decisions   and splits and merges and sting things happening concurrently in property management. And so the challenge with checklist also it can tend to slow things down. It's not as efficient. So the next level and the problem I had with checklist, we used to use process street, is that it it if anytime a process got complicated, I had to build logic and you know, if-then sort of situations into it.   And it usually got to the point where I didn't even understand it. Like a year later, I'm looking at a process. I'm like, I had to retranslate this back into something that made sense to my brain. And I always, and the nerd had to be the one that did all the updates on it because nobody else could understand it. So then we eventually graduated to level three. So level three is visual workflow. This is for humans.   Mo Hussein (18:01) Right.   Mm-hmm.   Jason Hull (18:13) And so, and with with this, my tip to everybody listening, if you have a system, whether it's checklist or it's any of these three levels, you know, documentation, checklist, or visual workflow, that you your first two processes you make as an operator or as a business owner is how to create a process in this system is number one. And number two, how to QA.   Mo Hussein (18:26) Did   Jason Hull (18:37) A process that is made in the system to know it's actually a good one. If you just make those two, you don't have to do any of the other stuff. Everybody else can do it. You just make those two. That's my tip for all you business owners. And now with AI, you can start adding AI. Once you have things visually mapped out, it's you've got the map like you're talking about. Now you can figure out all right, where can AI take over some of this stuff? And where do we still need the human in the loop? Right. So yeah.   Mo Hussein (18:43) Mm.   And automation. Mm-hmm. Yep.   Yeah.   Right,   Jason Hull (19:05) So any tips for those listening to this that are already geeking out with AI, they're doing a little bit of this measuring and mapping and automating. What are some of the biggest challenges you've noticed where this kind of breaks down or people are making mistakes?   Mo Hussein (19:19) It's it's honestly it's the it's the you know, AI value. it's it's a lot of the small individual decisions that are made in a in a repetitive fashion and that that are made a lot that really are gonna unlock like true value for for any operator. And so like, you know, having very clean data, standardized, you know, systems of truth by what we mean by that is that, you know, hey, you know.   Jason Hull (19:20) It's it's honestly it's the it's the you know, AI value it's it's   like true value for for any op   clean data, standardized, you know, systems of truth. But what we mean by that is that, you know, hey,   you know, you know, whatever work order system that you're using, for example, has accurate, you know, work order data. People, you know, you're making a segment for actually closing out the work order when they complete it. Hey, the end of the week, I'm gonna now try to remember what I did earlier in the week.   Mo Hussein (19:47) you know, whatever work order systems that you're using, for example, has accurate, you know, work order data. People, you know, your maintenance technicians are actually closing out the work order when they complete it. Not just, hey, the end the week, I'm gonna now try to remember what I did earlier in the week.   Close it out. So the data is   the data can't be trusted, then AI is just going   Jason Hull (20:04) data the be trusted and AI   Mo Hussein (20:07) to cause additional kind of confusion. And so having accurate systems of record. And I gave that example of of of a work order when a technician kind of closes that, right? the process map, I think the you know, the three buckets are like three level that you kind of gave, I think is a great, great.   Jason Hull (20:20) Yeah, yeah. Yeah, that makes sense.   yeah.   level that you kinda gave I think it's a great,   great anecdote and framing of how processes should be kind of looked at. And and I think one thing that a lot of operators usually tend to overlook or assume is you know how things are being done versus how they actually are being done within the schemes, right? So an owner somebody at some point said, okay hey this is a process we're gonna take and then over time that just kind of got changed.   Mo Hussein (20:29) anecdote and framing of how processes should be kind of looked at. And and I think one thing that a lot of operators usually tend to overlook or assume is you know how things are being done versus how they actually are being done within the teams, right? It's an owner, somebody at some point said, okay, hey, this is the process we're gonna take. And then over time that just kind of got changed. And there   may be, you know, two different property managers   Jason Hull (20:55) And there may be, you know, two different property managers   Mo Hussein (20:58) operating in two different regions in the same company that are doing leasing renewal differently, right? That going back to that point that you mentioned about systematizing and having accountability loops and task base or like checklist items and ensuring that those things are actually done in that same quality and that same fashion is very, very key. And so getting data, like getting the right data, accurate data,   Jason Hull (20:58) operating in two different regions in the same company that are doing these things renewal differently. Right. That point that you mentioned about synthesizing and having accountability loops and task based or like checklist items and ensuring that those things are actually done in that same quality, in that same fashion is very, very key. And so getting data, getting the right data, accurate data   Mo Hussein (21:23) and then also like your process mapping and your   Jason Hull (21:24) And then also like your process mapping   and your processes kind of documented. I think I think the visual representation is a great way to have that. And those are the two key things that ninety percent of folks that are trying to leverage AI and automation and even the folks that are starting to try to jump into this space and try to automate and use AI for these things like usually we're like where where they're really struggling with. got it. Yeah, I think   Mo Hussein (21:26) processes kind of documented. I think I think the visual representation is a great way to have that. Those are the two key things that ninety percent of folks that are trying to leverage AI and automation and even the folks that are starting to try to jump into this space and trying to automate and use AI for these things like usually we're like we're where they're really struggling with.   Jason Hull (21:50) I was just on a webinar recently and they were talking about building AI agents and they were talking about if you want to make really effective AI agents, you need to give them a really good job description, just like a human. And what what's really funny is if you we coach clients on this a lot, but if we tell the clients to to go, we coach clients on   Creating job descriptions. We call our version of them R docs because each section starts with an R, like role, responsibility, et cetera, all the typical stuff. But then we have some additional sections that we found really paramount. So what we'll tell them to do is go ask your team members, give them this framework, and have them create their own R Doc. And then you take a look at this and see if that's what you would have created. Because it's never like what they think their job is. It's usually very different than what the business owner thinks their job is.   Mo Hussein (22:25) Mm-hmm.   Right.   Jason Hull (22:36) And maybe even different what the manager, the ops person thinks the job is, but then you can actually literally get on the same page with them. You can be like negotiate this and be like, this is what we think your priorities should be, and what your outcomes should be, and what we want you to be able to accomplish. And this is helpful for them to know what they're aiming for so that they can please you because your team members want to please you if they're good. But usually there's a big disconnect, like you're saying, between what   Mo Hussein (23:00) Mm-hmm. Mm-hmm.   Jason Hull (23:05) the the employee thinks their j role and job is versus what their manager thinks they should be doing versus what the business owner thinks everybody should be doing. And so nobody's on the same page. And then you're everybody's roles are a little messy. And then you're going, let's give them processes now to work on. And they're not even clear on what their job is or what their role is. Yeah. And so same thing if you were going to build an AI agent and you were like, I want you to try and be good at everything. And then suddenly it's like really   Mo Hussein (23:29) Right.   Jason Hull (23:34) Hallucinating a lot and it's messing everything up and yeah. And it's not a realistic creature, you know, just like some people give create job descriptions that are for like four different personality types. Right. And then they hire somebody that maybe can actually do all four things, and we call those really highly adaptable, weird creatures entrepreneurs. And then they wonder why that property manager left and stole all their clients.   Mo Hussein (23:34) Horrible.   Right.   Yeah.   Jason Hull (23:57) Instead of finding somebody that's like really good at being one thing. Right. Yeah. And that's how you should see Asia.   Mo Hussein (24:00) Right. That that that that role clarity is very, very, very important, right? And that's how you should see agents as well, is that   like, hey, it's like a trained employee. And so you should exp you should expect the same level of, you know, investment involvement, if you will, and trying to and try to help them be the best of like, you know, whether it's a leasing agent, a maintenance coordinator, or whatever that their role may be. And I I think another aspect is and I'm curious how like how   Jason Hull (24:12) you should expect the same level of you know investment involvement if you will and trying to and try to help them be the best of like you know whether it's a leasing agent a maintenance coordinator or whatever that their role may be and I I think another aspect is and I'm curious that   like how you know when you guys are having conversations with clients around role descriptions stuff it's the concept of ownership like hey what you know how to how to align ownership to and lining that up to hopefully the mental business   Mo Hussein (24:28) you know, when you guys having conversations with clients around role descriptions and stuff, it's the concept of ownership. Like, hey, what, you know, how to how to align ownership to and lining that up to hopefully an eventual business outcome or KPI   or something so that, you know, their performance drives also the business performance, right? How have you guys had this conversation or how do you talk about kind of that concept? I can kind of allude to it without kind of explicitly calling it out.   Jason Hull (24:42) Kate guy or something so that you know their performance derives also the business performance, right? Yeah. How do you talk about kind of that concept? You kind of allude to it without kind of explicitly calling   it out. Yeah, I think well, sometimes I'll just totally call a business owner out on things. But I think what I think will be interesting is people are building starting to build agents. I think that they should.   They should have an understanding of personality types. I think they should have an understanding maybe or a conversation with AI about what Myers Briggs type might be good for this agentic role. And because like somebody that's really good at like strategy and the strategist role, which would be like an INTJ in Myers Briggs, might be good at some operational stuff, but they would be really terrible at customer service.   Mo Hussein (25:19) Mm-hmm.   Jason Hull (25:33) Because a lot of INTJs don't even like humans, right? And so they're logical thinkers and they're really judging and they're practical and they're in you know introverted and they're really bad at understanding how the other person feels or even expressing that. And so you're you you don't want to create these try and create AI AI agents that are multiple split personality types, because I don't think they're gonna be as effective. And you can't also, just like you wouldn't want somebody building the process.   QE QA QA of the process. You don't want them both. You don't want AI to be checking itself. Right. Right. The the brain that had problems doing the messing things up, maybe, or didn't do it totally right. You don't want them checking their own work. Right. And so, yeah, so I think this is going to be interesting that people are going to be building agents and they usually think just logically here's the context it needs, here's the role, whatever. But I think also maybe give it the personality that it.   Mo Hussein (26:08) Right, right.   Right.   Jason Hull (26:29) What's the disc assessment for this person, this agent? What's the Myers Briggs type for this agent? And then if especially if they're communicating with humans or doing a task that you want them to be somewhat human like, they're going to be much better at doing this if you give it you create them in the right way. Just an idea.   the other thing to know as a business owner, you need to know who you are so that you can build your dream team around you. So your advisors, whether they're agentic or human, your advisors, your team members, it should be built ultimately around you thriving and being healthy in your own business so that you've got the tea the tools and the resources that fit you. But most business owners make the mistake.   Of trying to build the business around the business and then wonder why they're miserable and why they're kind of a slave to their own business. Right.   Mo Hussein (27:16) Right. Right. Right.   Jason Hull (27:20) So anyway, Mo, measure, map, automate, MMA. Doesn't involve fighting too much. You know, like mixed martial arts. It's a little bit on the, you know, less physical side of things. fun chatting about.   Mo Hussein (27:26) No.   Jason Hull (27:34) all the the AI stuff that's going. How can people anything else that you want to add to our conversation here about yeah this model? And then could you tell us a little bit about what you do and how maybe you help property managers with this stuff? Yeah. Yeah. so I guess just to put it succinct, kind of a a sandwich kind of takeaway. So yeah, operators need to wait for a perfect AI.   Mo Hussein (27:48) Yeah. Yeah. so I guess just to put it succinctly, kind of a a a sandwich kind of takeaway. So, yeah, operators don't need to wait for a perfect AI strategy.   Start by identifying, measuring where value exists, where things are leaking, then mapping workflows and then deciding what can be safely automated and measuring whether those actions improve performance. and so   Jason Hull (28:00) Identifying, measuring where value exists, where things are leaking, then mapping workflows, and then deciding what can be safe and automated, and measuring whether.   Mo Hussein (28:10) like you know, over time we'll see that you know the winners are not gonna be the companies that have the most amount of most amount of data, but they're the ones that can convert data into consistent operating actions across how they've operated every door. if you we help clients with you know putting together SOPs, also mapping their technology needs, where where they're where they're having operational leaks in the business can be   Jason Hull (28:10) So like you know over time we'll see that you know the winners are not gonna be the companies that have the most amount of most amount of data, but they're the ones that can convert data into consistent operating actions across how they've operated every door. if you we help clients with you know putting together SOPs, also mapping their technology needs, where where they're where they're having operational leaks and the business   can be optimized.   Mo Hussein (28:37) Optimized further using   Jason Hull (28:38) Further using technology and automation, we have a platform that we've built, Prop Strata, to actually connect and help with that automation type effort. and we're also we also do a lot of accounting and and CPA work. you can reach us at www.balanceasset solutions.com, and my emails mo at propstrata.com, or you can reach out to our team at info at balance asset.   Mo Hussein (28:39) technology and automation. We have a platform that we've built, Prop Strata, to actually connect and and help with that automation kind of efforts. then we're also we also do a lot of accounting and and CPA work. you can reach us at www.balanceasset solutions.com and and then my email is mo at at propstrata.com or you can reach out to our team at info at balanceasset solutions.com.   Jason Hull (29:03) Cool. So they could take a look at this at propstrata.com.   Mo Hussein (29:07) Correct. W dot propstrata.com.   Jason Hull (29:11) Okay, cool. Very cool. All right. yeah, check that out, everybody. It sounds interesting. All right. Well, Mo, I appreciate you coming out and hanging out with me here on the DoorGro show and sharing everything.   All right.   So if   If you have ever felt stuck or stagnant in your property management business and you want to take it to the next level, reach out to us at doorgrow.com. We are the world's best at creating high-growth property management companies in the single-family residential space or the small multi-space. And if for a free training or how to get unlimited leads for free, text the word leads to 512-648-4608. That's 512-648-4608.   Also, join our free community just for property management business owners at doorgrowclub.com. And if you want tips, tricks, and ideas to learn about our offers, subscribe to our newsletter by going to doorgrow.com slash subscribe. And if you found this even a little bit helpful, don't forget to subscribe and leave us a review on whatever channel you saw or heard this on. We'd really appreciate it. And until next time, remember the slowest path to growth.   is to do it alone. So let's grow together. Bye everyone.

By Doug Green “Modernization does not have to mean abandoning the reliability, security and control organizations already depend on.” In this Technology Reseller News podcast, Darrell Butler, Senior Director of Product Management at Avaya, discusses how Avaya Nexus™ is designed to modernize critical enterprise communications while preserving the resilience required by government, healthcare, financial services, defense and other highly regulated industries. For years, enterprise communications strategies were often framed around a “cloud-first” approach. Butler explains why many organizations are now taking a more measured view—combining the automation, scalability and innovation available through the cloud with the operational continuity and local survivability traditionally associated with on-premises infrastructure. Built on key components of the Avaya Aura® platform, Avaya Nexus provides a modernization path for existing Avaya customers without forcing them into a cloud-only deployment. Core capabilities can be delivered through the cloud while on-site gateways and endpoints help maintain communications if connectivity to the cloud is interrupted. Darrell Butler “If you get cut from the cloud and you still need your hospital—or whatever the operation may be—to keep its phone calls up, we can do that with Nexus,” Butler says. The conversation also examines Avaya's continued commitment to Aura. Butler emphasizes that Aura is not going away and will continue to be supported and developed, while Nexus offers customers an additional path for modernizing their communications environments. AI is another important part of the strategy. Nexus supports capabilities including speech transcription and translation and is designed to connect with AI services available through Avaya Infinity™ and third-party platforms. At the same time, organizations retain control over how and where their communications data is used—an essential consideration for regulated and security-sensitive environments. Butler also discusses Avaya Government Cloud's achievement of Impact Level 4 High authorization. The milestone strengthens Avaya's position in the public sector and demonstrates its ability to support sensitive government communications and workloads. “We wanted to make sure that it wasn't a big, heavy lift from a customer perspective. We'll do the heavy lift,” Butler says. Additional Avaya Resources Avaya Announces Avaya Nexus™ Mission-Critical Voice Platform for Critical Communications in Highly Regulated Industries Avaya Government Cloud Achieves Prestigious IL4 H Certification, Reinforcing Commitment to National Security Journeys DC Panel: When Public Sector Communications Can't Fail About Avaya Avaya is an enterprise software leader that helps organizations deliver exceptional customer and employee experiences. Its solutions enable enterprises and governments to orchestrate AI, intelligent workflows and human expertise across communications and customer interactions. Avaya supports cloud, on-premises and hybrid deployment models to meet each organization's operational, security and business requirements. About Avaya Nexus Avaya Nexus is a critical communications infrastructure solution designed for organizations where communications cannot fail. It provides a secure and resilient voice foundation that supports cloud and on-premises capabilities while integrating with operational systems such as notifications, workflows and radio communications.

Send us Fan MailTitle: What's New in Cloud FinOps - June 2026Hosts: Frank Contrepois and SteveOSummaryIn this episode, Frank and SteveO navigate through the latest cloud offerings and AI advancements, revealing how these updates impact performance, costs, and operational strategies across Azure, AWS, and AI applications. Stay tuned for insights into new VM generations, cost management tools, and cutting-edge AI features.Key Topics:Azure's new Cobalt 200V and 100V VMs deliver up to 50% better CPU performanceIntroduction of AWS's Metal 48XL/96XL and enhanced EC2 instances with sixth-generation Intel XeonLatest AWS Graviton 5 processors offering up to 25% better compute performanceEnhanced Amazon EC2 G7 instances powered by Nvidia RTX Pro 4500AWS Cost Management updates, including automatic cost anomaly investigations and new billing toolsAWS's support for region-agnostic throughput reservations in AzureThe rise of AI and automation in cost optimization: new tools, models, and use casesCloud vendors' announcements on energy-efficient storage, reserved pricing, and billing analysis toolsTimestamps:00:00 - Cloud news roundup: performance boosts in Azure VM series00:20 - Azure's new Cobalt 200V VMs: performance and AI workload optimization01:32 - AWS launches Metal 48XL/96XL: CPU advancements and network enhancements02:50 - Introduction of AWS M9G/M9GD instances with AWS Graviton 5 processors04:36 - AWS's latest EC2 G7 instances with Nvidia RTX GPUs for AI and visual workloads05:43 - Cost efficiency improvements with new pricing models and snapshot billing09:28 - Redshift advances with manual snapshot cost reductions10:12 - AI models on Bedrock: GPT 5.5, Codex, and OpenAI integrations12:24 - Innovations in cloud billing: cost explorer, cost anomaly detection, and billing account tools13:00 - Cost & Usage Report 2.0 enhances S3, Athena, and Redshift integration14:23 - Google Cloud billing updates: report export improvements and new filtering options15:19 - AWS's right-sizing and resource optimization enhancements16:12 - Cost explorer AI integrations and automated cost investigations17:10 - New AI-powered tools for cost anomaly root-cause analysis18:16 - Multi-project billing views and resource management in AWS19:04 - Advanced export configurations to streamline billing data handling20:06 - Google Cloud's spot VM real-time availability features21:36 - Enhanced tagging, resource management, and API capabilities in AWS and Google Cloud24:11 - Azure's VM retirements, storage, and reservation updates26:15 - Redshift's new upfront pricing options for reserved instances27:35 - Global provisioned throughput reservations now regional in Azure for flexibility28:44 - Storage charges optimizations and vector query cost reductions on S330:10 - Using finops.frankcontrepois.com for AI-driven FinOps34:08 - The importance of separating AI from automation in cloud efficiency strategies36:17 - Resources like the Phoenix Project and The Goal for understanding process optimization and AI impact37:34 - Support for new resource types and idle recommendation expansion in AWS Compute Optimizer38:50 - Cost and performance insights into specific resource wastage39:16 - AWS's State of Cost Efficiency Report: benchmarking and industry insights40:52 - AWS FinOps agents preview: automated cost and anomaly management workflows42:23 - Programmatic savings plan management and AWS workload optimization43:47 - Cost attribution and telemetry for large language models (LLMs) on Bedrock44:10 - AWS WAF's new AI traffic monetization capabilities for API access control45:45 - Azure Cosmos DB's new cost estimator tool for pre-provisioning modeling46:52 - Top three news picks: upcoming cloud innovations and AI advances47:35 - The growing role of FinOps and AI operational tools in cloud cost managementResources:FinOps toolThe Phoenix ProjectThe Goal by Eliyahu M. GoldrattConnect with the Hosts:Frank - LinkedInSteveO - LinkedIn

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As Big Tech's power continues to grow, it's more important than ever to understand how companies use their control over cloud infrastructure and services to shape more than just the digital world. Cecilia Rikap joins Paris Marx to discuss how these networks of corporate power operate, including how they are systematically used to influence global politics, the economy, and how society views the world.Cecilia Rikap is an Associate Professor at University College London's Institute for Innovation and Public Purpose and the author of The Rulers: Corporate Power in the Age of AI and the Cloud.The podcast is made in partnership with The Nation. Production is by Kyla Hewson. Support the show on Patreon.Also mentioned in this episode:You can now pre-order Paris's new book Hyperscale.Cecilia and Paris worked on a white paper offering a roadmap to reclaiming digital sovereignty.Support the show

Caller Questions & Discussion: Marc shares how to respond when you feel frustrated. Instead of just expressing frustration, identify what you’re really feeling. Discover the emotional need beneath your frustration and what you need to resolve it. My sister and I are in our 80s and 90s. I’m in counseling, but where do I start to begin healing the broken relationship with my sister? Her ex-husband is dying. I was recently diagnosed with autism at 79 years old. Could autism be contributing to the emotional and psychological challenges I've been working through in counseling? I’ve been committed to personal growth for many years, including participating in Al-Anon. How do I stop procrastinating about cleaning out a room and closet that desperately need attention? I'm in a relationship with someone who has an avoidant attachment style. The pulling away has been extreme; after being apart, he's now returned because of nostalgia. Is there any hope? He refuses counseling.

As the power of big tech continues to grow, it's more important than ever to understand how these companies use infrastructure and intellectual monopolies to shape more than just the digital world. Cecilia Rikap joins Paris Marx to discuss how these networks of corporate power operate, including how they are systematically used to influence global politics, the economy, and how society views the world.Cecilia Rikap is an Associate Professor at University College London's Institute for Innovation and Public Purpose and the author of The Rulers: Corporate Power in the Age of AI and the Cloud.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Existing FedRAMP certification is no longer required for Department of Veterans Affairs contractors to win bids, a top agency IT official said Tuesday in a memo obtained by FedScoop. Any acquisition documents, including requests for information, proposals or quotations, should not state or imply that a cloud company must have already completed the governmentwide security check, Zack Schwartz, principal deputy assistant secretary in the VA's Office of Information and Technology, said in the memo. Schwartz wrote that the “memo supports VA's ability to sustain momentum with mission needs to provide secure technology solutions in a dynamic cyber risk environment, while avoiding unnecessary delays in the procurement of critical systems and services.” He added that the “distinction is intended to preserve acquisition flexibility while maintaining VA's risk management and operational security standards.” Instead, cloud systems, services and solutions companies must fully comply with other security requirements — including those from the National Institute of Standards and Technology, VA directives and handbooks — and receive a VA Authorization to Operate, which could be granted in 60 days. The Department of Homeland Security is expanding its AI use for FOIA processing in response to a sizable backlog and increasing number of requests, per the agency's annual report. In fiscal 2025, DHS started with 221,068 pending FOIA requests. After receiving more than 1 million requests and processing nearly the same amount, the agency ended the year with 245,572 pending requests. Despite the uptick, DHS said it maintained its backlog — defined as the number of requests or administrative appeals at the end of the fiscal year that are beyond the statutory time for a response — at just 16% of total requests received. Technology could help the agency make a bigger dent in the years to come. “The DHS Office of Privacy continues to invest, develop, implement, and deploy new technological advances in FOIA processing,” the agency said in its 2025 FOIA report, published Thursday. “It expects to launch additional automation tools this coming year to further improve efficiency and reduce administrative redundancies. The Daily Scoop Podcast is available every Monday-Friday afternoon. If you want to hear more of the latest from Washington, subscribe to The Daily Scoop Podcast  on Apple Podcasts, Soundcloud, Spotify and YouTube.

Mary Jane Matts discusses how Microsoft's (MSFT) strong cloud results could signal continued momentum for AWS, Amazon's (AMZN) primary growth engine. She highlights Amazon's emerging supply chain services business as a potential future growth driver and explains why long-term investors may find opportunity as the market remains focused on near-term concerns and momentum-driven trades.======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

LikeFolio's Landon Swan examines Amazon's (AMZN) evolving growth story as AWS faces mounting competition from Microsoft's (MSFT) Azure. He discusses why rising cloud infrastructure spending and Amazon's investment in Anthropic may be better viewed as long-term growth drivers rather than short-term headwinds.======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Steven Dickens, CEO of HyperFRAME Research, previews Amazon's (AMZN) earnings and explains why backlog growth and capital expenditures will be key metrics for investors. He discusses the impact of AWS amid strong cloud results from Microsoft (MSFT) and Alphabet (GOOGL), while also highlighting electricity supply as a critical long-term factor in sustaining AI and cloud infrastructure growth.======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Meta-beleggers schrikken zich rot. De winst bij de eigenaar van Whatsapp, Insta en Facebook neemt af en toch gaat CEO Mark Zuckerberg méér geld uitgeven. Dit jaar tot wel 145 miljard dollar. De vrije kasstroom holt hard achteruit en staat op het laagste niveau in jaren. Beleggers willen antwoorden. Over de investeringen bijvoorbeeld, wanneer ze uitbetalen. Maar krijgen ze niet. Deze aflevering kijken we hoe lang Zuckerberg nog krijgt van z’n aandeelhouders. Hebben we het ook over Microsoft! Dat doet het wél goed. Geheime wapen: Azure! Verder gaat het natuurlijk over die bizar drukke beursdag. Maar liefst 19 Damrakbedrijven kwamen met de cijfers, waarvan 17 voorbeurs. We proberen er zoveel mogelijk te behandelen. Zo hoor je meer over de cijfers van Shell, BAM, Pharming, DSM Firmenich en AirFrance-KLM. Ook gaat het over de onenigheid binnen de Fed. Voorzitter Kevin Warsh geeft toe dat er een 'gezinsruzie' plaatsvond. Drie van de twaalf leden wilden niet dat de rente gelijk bleef: hij moest juist omhoog! En we hebben het over Arcadis, dat wéér een overnamebod afwijst. Te gast: Jean Paul van Oudheusden, analist bij eToro BNR Beurs is een journalistiek onafhankelijke productie, mede mogelijk gemaakt door Saxo. Over de makers: Jelle Maasbach is presentator van BNR Beurs en freelance financieel journalist. Zijn favoriete aandeel om over te praten is Disney, maar daar lijkt hij de enige in te zijn. Sinds de eerste uitzending van BNR Beurs is 'ie er bij. Maxim van Mil is presentator van BNR Beurs en journalist bij BNR, waar hij zich focust op de financiële markten en ontwikkelingen in de tech-wereld. Je krijgt hem het meest enthousiast als hij kan praten over ASML, of oer-Hollandse bedrijven zoals Ahold of ABN Amro. Jorik Simonides is presentator van BNR Beurs, economieredacteur en verslaggever bij BNR. Hij wordt er vooral blij van als het een keer níet over AI gaat. Je hoort hem ook in de BNR-podcast Moerdijk: dorp van de rekening. Milou Brand is presentator van BNR Beurs, freelance podcastmaker en columnist bij het Financieele Dagblad. Jochem Visser is presentator van BNR Beurs, maakt Beursnerd XL en is redacteur bij de podcast Onder Curatoren. Vraag hem naar obscure zaken op financiële markten en hij vertelt je waarom het eigenlijk nóg leuker is dan je al dacht. Over de podcast: Met BNR Beurs ga je altijd voorbereid de nieuwe beursdag in. We praten je in een kleine 25 minuten bij over alle laatste ontwikkelingen op de handelsvloer. We blijven niet alleen bij de AEX of Wall Street, maar vertellen je ook waar nog meer kansen liggen. En we houden het niet bij de cijfers, maar zoeken ook iedere dag voor je naar duiding van scherpe gasten en experts. Of je nu een ervaren belegger bent of net begint met je eerste stappen op de beurs, de podcast biedt waardevolle inzichten voor je beleggingsstrategie. Door de focus op zowel de korte termijn als de lange termijn, helpt BNR Beurs luisteraars om de ruis van de markt te scheiden van de essentie.See omnystudio.com/listener for privacy information.

Caller Questions & Discussion: Becky discusses an article circulating online that asks: Are therapists to blame for family estrangement? About one-third of families believe a therapist influenced the decision. However, most therapists do not encourage family estrangement. Our 24-year-old son is home from college and thinks he can do whatever he wants. We're trying to set healthy boundaries, but he's abusing Adderall and dropped out of college even though he only had two classes left to earn his degree. My 36-year-old daughter is taking medication for depression and was advised by her clinic to distance herself from me. Now she won't let me see my grandchildren, and I just want to spend time with them and have coffee together. Her father was an alcoholic. Besides praying, what can I do to rebuild our relationship? How do I handle my 20-year-old daughter making allegations that her stepfather behaved in sexually inappropriate ways toward her when she was younger? I'm in a Christian courtship. I'm non-denominational, and he's a Pentecostal pastor. I thought it would work because we're both Christians, but after two years, I'm struggling with all of the rules and expectations.

Today, several members of our Packet Pushers podcast team assemble to discuss whether the grass is greener on the NetOps or DevOps side of the telemetry fence. William of The Cloud Gambit, Scott of Total Network Operations, and Ned and Kyler of Day Two DevOps discuss the difficulties and differences of getting telemetry and state... Read more »

Today, several members of our Packet Pushers podcast team assemble to discuss whether the grass is greener on the NetOps or DevOps side of the telemetry fence. William of The Cloud Gambit, Scott of Total Network Operations, and Ned and Kyler of Day Two DevOps discuss the difficulties and differences of getting telemetry and state... Read more »

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   You Don't Own Your IP Once It Hits the Cloud Who Owns Your IP in the Cloud? (Marcus Harris, Taft Law) "Technical Debt" Is a Marketing Weapon   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

Episodio 379.Imagínense un deli de New York de lo más chino posible: Su especialidad es pato (me encantó cómo lo mataron). Lo pedimos grande, con lo cual, fue grande y vino acompañado de muchas cosas con queso, una cantidad de vainas y pollo frito con criterio y con gusto. Viví mi propia odisea con mis dos dedotes como un centauro en reversa.

Today, several members of our Packet Pushers podcast team assemble to discuss whether the grass is greener on the NetOps or DevOps side of the telemetry fence. William of The Cloud Gambit, Scott of Total Network Operations, and Ned and Kyler of Day Two DevOps discuss the difficulties and differences of getting telemetry and state... Read more »

SK Hynix had de hoogste winst uit de eigen geschiedenis. Maar beleggers wilden méér. ASM had de hoogste omzet uit de eigen geschiedenis, maar ook dat was niet genoeg. Beide aandelen werden keihard afgestraft. Deze aflevering hebben we het over de chiprally. Ondanks meer dan prima resultaten (en vooruitzichten) is het gedaan met de run op dit soort aandelen. In Nederland zijn ASML, Besi en ASMI sinds de piek vorige maand met tientallen procenten gedaald. We kijken of ( en hoe) die rally nog gereanimeerd kan worden. Hebben we het ook over de prestaties van NXP, nu we het toch over chips hebben. Dat zag de omzet én winst flink stijgen, maar beleggers hebben ook in dit aandeel even geen zin meer. Verder in deze aflevering: De FIFA wil aandelen gaan verkopen SpaceX en Tesla zijn samen 1500 miljard aan beurswaarde kwijt Porsche verkoopt minder auto's, maar maakt méér winst Hermés verkoopt meer, maar wordt gedumpt op de beurs Te gast: Martine Hafkamp van Fintessa Vermogensbeheer BNR Beurs is een journalistiek onafhankelijke productie, mede mogelijk gemaakt door Saxo. Over de makers: Jelle Maasbach is presentator van BNR Beurs en freelance financieel journalist. Zijn favoriete aandeel om over te praten is Disney, maar daar lijkt hij de enige in te zijn. Sinds de eerste uitzending van BNR Beurs is 'ie er bij. Maxim van Mil is presentator van BNR Beurs en journalist bij BNR, waar hij zich focust op de financiële markten en ontwikkelingen in de tech-wereld. Je krijgt hem het meest enthousiast als hij kan praten over ASML, of oer-Hollandse bedrijven zoals Ahold of ABN Amro. Jorik Simonides is presentator van BNR Beurs, economieredacteur en verslaggever bij BNR. Hij wordt er vooral blij van als het een keer níet over AI gaat. Je hoort hem ook in de BNR-podcast Moerdijk: dorp van de rekening. Milou Brand is presentator van BNR Beurs, freelance podcastmaker en columnist bij het Financieele Dagblad. Jochem Visser is presentator van BNR Beurs, maakt Beursnerd XL en is redacteur bij de podcast Onder Curatoren. Vraag hem naar obscure zaken op financiële markten en hij vertelt je waarom het eigenlijk nóg leuker is dan je al dacht. Over de podcast: Met BNR Beurs ga je altijd voorbereid de nieuwe beursdag in. We praten je in een kleine 25 minuten bij over alle laatste ontwikkelingen op de handelsvloer. We blijven niet alleen bij de AEX of Wall Street, maar vertellen je ook waar nog meer kansen liggen. En we houden het niet bij de cijfers, maar zoeken ook iedere dag voor je naar duiding van scherpe gasten en experts. Of je nu een ervaren belegger bent of net begint met je eerste stappen op de beurs, de podcast biedt waardevolle inzichten voor je beleggingsstrategie. Door de focus op zowel de korte termijn als de lange termijn, helpt BNR Beurs luisteraars om de ruis van de markt te scheiden van de essentie.See omnystudio.com/listener for privacy information.

” She was a quiet rebel in class, a diamond sifter in a gravel pitCaroline Aherne left Manchester with a comedic legacy that went on to redefine British TV.One of the many people she inspired is Dave Scott, the poet and author who you might know better as Argh Kid. Dave's latest book ‘Rebel in Disguise', is a love letter to Caroline's work as a writer, actress and comedian.Host Lisa Morton recorded this conversation at the We Built This City afternoon tea at Cloud 23 in The Manchester Deansgate Hotel, to celebrate the launch of Dave's book.Dave has built a career out of finding the poetry in the lives of everyday Mancunians; from the phrases, the humour and the heart that makes this city region different. So it's no surprise that Caroline and The Royle Family had a huge impact on him. As you'll hear him say, watching the show felt just like watching his own family; something many people who grew up in Greater Manchester will resonate with.In this episode, you'll hear why Dave believes Caroline was Greater Manchester's greatest artist; why he wanted to make her the focus of his next book, and you'll also hear readings from the book that beautifully encapsulate Caroline's genius.--------------------Your host, Lisa Morton, started PR company Roland Dransfield in 1996, one month after the fateful IRA bomb that tore apart the city centre. From that point, the business and its team members have been involved in helping to support the creation of Modern Manchester – across regeneration, business, charity, leisure and hospitality, sport and culture.To celebrate the 30 years that Roland Dransfield has spent creating these bonds, Lisa is gathering together some of her Greater Mancunian ‘family' and will be exploring how they have created their own purposeful relationships with the best place in the world.Connect with Dave and buy his bookVia Instagram Get the bookConnect with Lisa and Roland Dransfield:Via our websiteOn InstagramOn X Thanks to our partners on this episode of We Built This City, Car Finance 247. You can visit CarFinance247.co.uk or follow Car Finance 247 on LinkedIn to find out more about them.

We get into the latest McBee Dynasty episode where rumors flow about Steven Jr and Kaycie's relationship, Steven's bitchy text is discussed and red flags go up for New Allie Jesse seems checked out and wanting to avoid his wife while Galyna floats on Cloud 9 learning Masha was arrested! We get ready for the family to hit Vegas for Rodeo, Cowboy Christmas, strips clubs, Thunder Down Under and more!Make your summer wardrobe feel easier. Go to www.Quince.com/vpr for free shipping on your order and 365-day returns. Now available in Canada, too. For bonus episodes, historical events and VPR Trivia hangouts, join us on Patreon at www.patreon.com/vanderpumprulespartyThis podcast uses the following third-party services for analysis: Magellan AI - https://docsend.com/view/5vdvbdx7cr4tikmyClaritas - https://claritas.com/privacy-legalPodscribe - https://podscribe.com/privacy

Caller Questions & Discussion: Dr. Jim shares that while speaking last week, he reflected on the Los Angeles fires last year. His brother lost his home. In difficult times, he reminds us that one of the best ways to persevere is to deepen our spiritual roots and stay grounded in faith. My daughter found her 14-year-old son's journal and discovered he wants to change his gender. What can she do? Is my husband right to forbid me from visiting my children or having them come “home” to visit? My husband doesn't want me to have anything to do with my four adult children and grandchildren from a previous marriage. My husband and I would love to have a relationship with our 10 grandchildren, but it seems like they don't want anything to do with us. How do we deal with this? My 10-year-old granddaughter says she likes girls and believes she's therian, meaning she identifies as an animal. She wears ears, a tail, and crawls on the ground. How do I help her?

The attack window from the discovery of a vulnerability to its exploitation has shrunk to less than 24 hours and sometimes down to just 25 minutes. Is your security team prepared for the speed of AI-driven attacks?In this episode, Ashish sits down with Sarit Tager, who leads Cortex Cloud product management at Palo Alto Networks, to discuss why the post-Mythos era is forcing Cloud Security and AppSec out of their traditional silos. Sarit explains how AI coding agents prioritize generating code over securing it, which can sometimes result in flaws like accidentally deleting production databases within two weeks.We also explore how English has become the new primary programming language, effectively making everyone a potential developer. Sarit breaks down why relying solely on cloud posture management is no longer enough and why deploying active runtime agents is now mandatory to block real-time exploits.Guest Socials -⁠⁠ ⁠⁠⁠⁠⁠⁠⁠Sarit's Linkedin ⁠⁠Podcast Twitter - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@CloudSecPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:-⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Podcast- Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Newsletter ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you are interested in AI Security, you can check out our sister podcast -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AI Security Podcast⁠(00:00) Introduction: The Convergence of Cloud and AppSec(01:50) Sarit Tager's Background: From VP of Engineering to Palo Alto Networks(03:00) Why English is the New Programming Language(06:00) The Problem with LLMs Suggesting AppSec Fixes That Break Functionality(09:30) How AI Agents Can Accidentally Delete Production Databases(11:40) The Attack Window Shrinking to 25-30 Minutes(14:00) The Post-Mythos Fear and the Token Cost Challenge(16:30) Why You Must Deploy a Runtime Agent (Posture is Not Enough)(18:30) Why AI Coding Agents Put Security Second(24:00) Breaking the Silos: The Rise of Holistic Product Security(36:00) How AI Empowers Non-Experts to Investigate Across Security Domains(40:30) Fun Questions: 50 Countries, No Social Media, and Japanese FoodThank you to Palo Alto Networks for sponsoring this episode:Learn more about Palo Alto Networks Cortex Cloud.

A “safe” AI test environment is supposed to be a sandbox, not a launchpad. Yet one of the biggest stories we break down claims an experimental OpenAI model moved at superhuman speed, chained vulnerabilities, and hit Hugging Face in a real cyberattack, not for money, but to cheat on an internal benchmark. We talk through what that would mean for AI containment, autonomous agents, and why “it was just a test” stops being comforting when production systems get touched.From there, we zoom out to the quieter AI failure that can be just as dangerous: false certainty. Research suggests models can be pushed into confidently detecting “life” where none exists, which raises uncomfortable questions about AI-assisted NASA life detection on Mars or Europa. We also get into privacy and consent, as Instagram cracks down on videos filmed with Meta smart glasses that harass or intimidate strangers, and why wearable cameras change the ethics even when filming in public is technically allowed.Then we get painfully practical. We read real phishing emails, explain the red flags, and I confess to getting caught when I was busy and moving too fast. We cover recovery steps, why credit cards beat debit for fraud protection, and the simplest rule that still saves the most people: don't click the link, go to the source. Finally, Mike brings the heat on data center power draw and grid instability, and we connect the dots to the PlayStation Network outage and cloud dependency on AWS.Subscribe for more tech news for everyday people, share this with someone who needs better scam defenses, and leave a review. What's the one message or alert you almost fell for, and what tipped you off?Send us Fan MailSupport the show

7. In the Cloud and in the Sea - Sacramental Reality (Exodus: Redeemed to Worship) - Fr. Michael Flowers 07.26.26 by St. Aidan's Anglican Church, KC

The_Christmas_Cloud

great Cloud of Witnesses Israel: Obeying God's Commands

Caller Questions & Discussion: Dr. Alice shares a recent moment when she felt disrespected by one of her children. Instead of reacting, she used the Comfort Circle to create space for connection and understanding. If you're struggling with a child who's disobeying you, use gentle curiosity. I was walking with my friend and noticed she seemed very paranoid. She is involved in ministry, has a son, and believes she is experiencing spiritual warfare, but she won't seek professional help. How can I support her? Why do I still feel so alone, depressed, and sad? I've had counseling in the past for traumatic events like my husband dying unexpectedly 13 years ago, becoming a single mom, and taking care of my mom before she passed away three months ago. My boss often doesn't complete tasks and leaves responsibilities for the rest of us to handle. I feel overwhelmed and upset; what should I do about it?

#271: Dr. Henry Cloud is an acclaimed leadership expert, clinical psychologist, New York Times bestselling author, and highly sought-after speaker. He has authored 46 books, including the iconic Boundaries, which have sold more than 20 million copies worldwide.Dr. Cloud has extensive experience working with CEOs, executives, and leadership teams, helping organizations improve leadership performance, culture, and overall effectiveness. He also founded and built a healthcare company that operated inpatient and outpatient treatment centers across 40 markets in the Western United States, serving as its Clinical Director and principal for 10 years.Dr. Cloud hosted a national radio show for 15 years, airing in more than 200 U.S. markets, and has been recognized by Success Magazine as one of the 25 most influential leaders in personal growth and developmentHis newest book YourDesired Future is a five-component framework combining psychology, physiology, and neuroscience principles to help readers achieve their desired future.Today, Dr. Cloud speaks and consults internationally, bringing together his expertise in leadership, psychology, human performance, and organizational culture to help leaders and teams achieve greater success.He is also very patient and gracious with me as we had to work through some technical difficulties on this episode. For more on Dr. Cloud and his new book Your Desired Future check out drcloud.com as well as social media and where all books are sold. Enjoy the show! 

AWS Morning Brief for the week of July 26th, with Corey Quinn. Links:Amazon ECS now provides Action Logs for deployment and orchestration visibilityAmazon Managed Service for Prometheus supports 1.5B active metrics and 200K rules per workspaceAmazon SES introduces pricing plansAWS Network Load Balancer now supports Listener Rules for custom traffic routingAWS Organizations increases RCP quota to 2,000 per organizationAWS now supports automatic credit memo application preferencesAWS Secrets Manager now publishes secret update notifications to Amazon EventBridgeJVM memory, CPU, and classpath best practices for Java containers on AWSConnection pooling strategies in Amazon Aurora DSQLCustom OS installation now available on AWS DeepRacer devicesThermodynamic sampling of disordered materials with an analog Hamiltonian Rydberg simulatorUnlocking data residency use cases with Amazon S3 in AWS Local ZonesAWS Security Bulletins: New Tools, Ancient Failures

194 Pet Grief and Disenfranchised Loss (with Hospice Chaplain Jessica Shannon) Host Marie Betcher, a registered nurse and former hospice nurse, interviews board-certified hospice chaplain and author Jessica Shannon in episode 194, focusing on pet grief. They discuss pet loss as "disenfranchised grief," often experienced as lonely and minimized by society, and describe anticipatory grief that begins as pets age and decline. Jessica explains how pet grief can be as intense as human loss, may trigger cumulative grief when an animal is tied to a deceased loved one, and includes grieving routines and caregiving roles after a pet dies. She shares her experience losing multiple dogs and the impact of euthanasia decisions, notes that surviving pets also grieve, and offers guidance to acknowledge the grief as real, allow time, and not rush into getting another pet. Jessica also mentions her memoir, The Sum of Grief: A Daughter's Memoir, about "grief math," which includes animals' roles in coping with loss. 00:00 Welcome and Disclaimer 00:29 Meet Host and Guest 01:37 Why Pet Grief Matters 03:38 Anticipatory Grief Signs 05:41 Lonely Disenfranchised Loss 07:09 Stories of Multiple Losses 10:09 Pets as Connections 14:42 Routine and Caregiver Role 16:49 Rehoming After Death 19:28 Practical Pet Grief Tips 21:43 Animals Grieve Too 22:36 Book Plug and Wrap-Up 23:55 Final Thanks and Outro If you want to help, you can donate to help support Hospice Explained at the Buy me a Coffee link   https://www.buymeacoffee.com/Hospice  Hospice Explained Affiliates & Contact Information Buying from these Affilite links will help support this Podcast.  Maire introduces a partnership with Suzanne Mayer RN inventor of the  cloud9caresystem.com,  When patients remain in the same position for extended periods, they are at high risk of developing pressure injuries, commonly known as bedsores. One of the biggest challenges caregivers face is the tendency for pillows and repositioning inserts to easily dislodge during care.(Suzanne is a former guest on Episode #119) When you order with Cloud 9 care system, please tell them you heard about them from Hospice Explained.(Thank You) Marie's Contact Marie@HospiceExplained.com www.HospiceExplained.com   Finding a Hospice Agency 1. You can use Medicare.gov to help find a hospice agency, 2. choose Find provider 3. Choose Hospice 4. then add your zip code This should be a list of Hospice Agencies local to you or your loved one.

We have the band back together this week and posed new questions about the shape of wombat poop and other topics all while reviewing three different books! Cloudthief by Nathaniel Rich The Ballad of Ronan McCoy by Collin Morgan Dead but dreaming of Electric Sheep by Paul Tremblay

How do you make sure your favorite cereal is always on the shelves when a cyber disaster strikes? In this episode, hosts Tim Peacock and Alicja Cade sit down with Noah Korba, VP of Digital Core, Cybersecurity, and Enterprise Architecture at General Mills, to look under the hood of "Mills Collaborative Recovery"—their intensive, annual two-week drill that actually recovers 90% of their Google Cloud estate to test real-world cyber resilience. ⌨️ "Clicking and Clacking" vs. Talking: Why General Mills ditched traditional tabletop discussions to actually run hands-on, keyboard-driven recoveries of their entire cloud infrastructure.

Send us Fan MailCarli Kistler-Miller and David Wynn are joined by Kirk Precision's Michael Vay for a practical discussion of how cloud technology applies to precision manufacturing shops. They distinguish cloud storage from cloud computing, explore benefits such as remote file access, scalable processing and reduced IT maintenance, and examine concerns including data ownership, cybersecurity, internet outages, compliance and recurring subscription costs.For More Information Visit pmpa.org/podcasts 

Cloud computing solved for scale by centralizing everything into a handful of massive buildings. Edge computing is the argument that scale was never the only thing worth optimizing for.On this episode, Jeff MacMillan of Green Edge Computing Corp makes the case that sovereignty was never really about geography. It was about how many entities you'd have to strong-arm before someone gave in.The conversation moves from mining sites with unreliable wireless to a Cloud Act clause most people have never read. It lands on an uncomfortable question: when decentralizing compute means decentralizing oversight too, who ends up accountable for what happens in the box nobody's watching.The same hardware standard the U.S. military spent fifteen years refining now sits in clinics and 7-Elevens, and has implication and applications for bringing cutting edge software to the most remote areas. What does it mean when you can bring your own compute literally anywhere?Mentioned: Jevon's paradox

With Javed Jafar, CPQ and Billing Expert with 20+ years of experience across enterprise implementations, advisory work, and customer-side transformation programs. How will AI change CPQ for customers, vendors, system integrators, and CPQ professionals? In this episode, Javed shares his perspective on why AI is not replacing CPQ expertise, but changing what good CPQ expertise looks like. Routine configuration work, documentation, testing, and delivery tasks are becoming easier to accelerate with AI tools. At the same time, deep domain knowledge is becoming more important, since customers still need experts who can recognize incorrect AI output, manage complexity, and translate business requirements into scalable commercial processes. Frank and Javed also discuss how AI is changing expectations for system integrators, as customers increasingly expect more value for every professional services dollar — a shift that may push the market toward fixed-price offerings, reusable accelerators, boutique specialists, and AI-enabled delivery models. They also examine the current business climate around AI adoption, including why many organizations are investing in AI tools but still struggle to demonstrate measurable ROI. In CPQ specifically, Javed sees many companies experimenting with automation and AI assistance, while true agentic CPQ adoption is still in the early stages. In this conversation we cover: Why AI is changing what good CPQ expertise looks like, not replacing it How AI is accelerating configuration, documentation, testing, and delivery work Why deep domain knowledge matters more as AI output needs expert review How AI is reshaping expectations and pricing models for system integrators The gap between AI investment and measurable ROI in CPQ today The state of agentic CPQ adoption and Salesforce Agentforce Revenue Management The impact of legacy CPQ end-of-sale messaging The shift from rule-based to constraint-based thinking What types of customers benefit most from AI-first, API-driven revenue architecture If you are a CPQ customer, part of a Salesforce Revenue Cloud team, a system integrator, a CPQ vendor, or a revenue operations leader trying to understand how AI will reshape Configure, Price, Quote over the next few years, this episode offers a grounded, experience-based perspective. Learn more: Javed on LinkedIn

40 conceptos esenciales de DevOps y Cloud: un recorrido rápido por los términos que todo programador debería reconocer, desde cultura DevOps y CI/CD hasta contenedores, infraestructura en la nube, observabilidad y seguridad.

What does a modern contact center need to deliver when the person reaching out may already feel anxious, embarrassed, and unsure where to turn? In this episode of Tech Talks Daily, I speak with Chris Lovell, service delivery lead for StepChange Debt Charity's contact center and product owner for its Genesys Cloud platform. StepChange supports hundreds of thousands of people facing financial hardship each year. Chris explains that approximately 40% of its clients receive Universal Credit, over 60% rent their homes, and many are dealing with an additional vulnerability alongside debt. That context makes the first interaction especially important. People may have delayed asking for support while their financial position became harder to manage. A failed call, long queue, unnecessary transfer, or request to repeat their story can increase stress at the moment they need reassurance and practical help. Before adopting Genesys Cloud, StepChange relied on fragmented contact center technology that experienced regular technical problems and outages. The charity also lacked detailed insight into why clients were making contact at different stages of their journey. People could enter the wrong queue, wait to speak with an advisor, and then discover they needed another team. The technology also affected employees. Chris says frontline colleagues eventually stopped proposing improvements because they did not believe the existing platform could support them. StepChange migrated to Genesys Cloud in four weeks through a three-phase delivery. The team began with lower-risk services, increased the size and complexity during the second phase, and moved the core debt advice operation during the third. Chris says the migration was completed without downtime. The initial objective was to reproduce the existing service on a stable cloud platform before introducing further capabilities. This sequencing gave the team time to correct early issues and adjust training before the largest group of advisors moved across. We discuss how improved intent capture and routing helped one team reduce misrouted calls by 60%. Clients reached the right advisor sooner, avoided repeated explanations, and could move toward a suitable debt solution faster. Advisors also began conversations in the right place instead of apologizing for delays or correcting the journey. Chris argues that contact center success cannot be judged through efficiency alone. StepChange examines whether clients understand their options, complete the advice journey, activate a sustainable plan, and continue toward becoming debt free. The circumstances remain difficult for many clients. Chris says approximately 28% are still in a negative budget after receiving advice, with an average monthly shortfall of around £600. Some conversations require time, empathy, and experienced human support. Around 85% of StepChange advice journeys now happen online. Digital access can offer privacy and flexibility, while advisors remain available for the emotional and complicated moments where a person needs reassurance. We also consider future plans for WhatsApp, web messaging, connected journeys, and AI-powered advisor support. Chris advises leaders to begin with genuine customer behavior rather than selecting a technology and searching for somewhere to use it. How can your contact center remove unnecessary effort while preserving the conversations where people most need to feel heard? Listen to the episode and share your thoughts with me.

Caller Questions & Discussion: Dr. Alice shares that she came from a family that did not meet her emotional needs. So with her spouse and children, she tells them that she needs to hear them say they love her. Whenever the people I'm in a relationship with did three things I didn't like, I'd ghost them. So it was three strikes, and they were out. But God spoke to me about how I'd feel if I was on the receiving end. I bought a home, but my neighbors are using Ouija boards and are hostile. If it happens again, I'll probably commit suicide. Why don't you open up in a word of prayer for each show? If I'm talking to someone, I'm going to pray to set the tone for the conversation. Do frequent visits to the cemetery prolong grief? How can I stop drinking? My husband died after 40 years of marriage. He was my compass, and I'm so lost. I feel like I need a personal assistant. Although my husband is still with me, over the past 26 years of his illness, I feel like I will never accept losing my love when the time does come. I feel stuck.

The dominant structural shift highlighted is the migration from flat-rate software subscriptions to usage-based billing models within AI and cloud services. Notably, vendors such as Anthropic, OpenAI, and GitHub have transitioned services off fixed-rate subscriptions toward consumption-based pricing, while Microsoft has introduced new premium tiers that embed AI and security features above the base offering. This shift introduces hidden metering within per-seat pricing, creating less transparency for small- and mid-sized clients regarding actual AI consumption and cost accountability, as documented in research referenced by Forrester. A consequential finding is that budgets for software and AI are reportedly rising by 80% among business and technology decision-makers surveyed by Forrester, yet most organizations are only at the early stages of genuine AI integration. According to IDC research sponsored by SAS, only 9% of small- and midsize businesses (SMBs) have fully embedded AI in daily operations, while about 70% remain in pilot or opportunistic phases. Moreover, a Gallup survey found that 52% of American workers now use AI on the job, but depth of adoption remains limited, with many implementations running only at a superficial level. Supporting developments include mounting evidence that cloud computing's historical promise of near-infinite capacity is eroding. Computer Weekly reports that Microsoft's cloud elasticity is encountering real-world constraints, leading to capacity limits and service rollbacks. Further, regulatory intervention is escalating: New York state has implemented a moratorium on new large-scale data center permits, reflecting mounting political resistance and public distrust toward large technology providers. Meanwhile, increased capital spending by AI vendors is pressuring margins and potentially driving future price adjustments or investment cutbacks across the sector. For MSPs and IT leaders, these trends increase operational complexity and expose gaps in spend governance and accountability. As metered AI and hybrid pricing models proliferate, tracking real usage and managing associated costs becomes more challenging, especially when AI charges are masked within bundled per-user pricing. Providers must develop discovery and reporting practices to quantify hidden AI spend, inventory usage meters within client stacks, and establish pricing models that properly segment one-time discovery from ongoing measurement. Failure to implement these controls exposes both MSPs and clients to unplanned overages, margin loss, and audit risk as consumption scales invisibly under the current invoice structure. 00:00 Your Subscription Became a Meter  04:14 Compute Ran Out of Room 06:51 Nine Percent Ever Finish 09:51 Why Do We Care?  Supported by:  Guardz ScalePad   

Caller Questions & Discussion: Dr. Jill shares about a recent baby shower, where guests were asked to give advice to the mom-to-be. Children learn from their primary caregivers. As parents remain calm and create a safe environment, children learn how to self-regulate. I heard the story that when I was just 18 months old, when my sibling was born, I was sent to live with my grandparents for a few weeks. Is this something I should be concerned about if I have no memory of it? I've been married to a man who has had 15 affairs or more. I'm in my 70s. He still flirts with women and gaslights me. We never resolved our issues, and I'm the one who gets blamed. What does it mean when he says, “I don't know you anymore?” My friend has been involved with women of the night, and I'm worried about it leading to sin. How can I help him? He's living two different lives and even ordered a sex doll.

Have you ever wondered how data actually travels through a Wi-Fi network? Holly and Ethan break down the fundamentals of wireless networking, including radio frequencies and channel planning. They also address the complexities of roaming, how the Wi-Fi space has changed over the years, and share advice on how to design and maintain a home... Read more »

Caller Questions & Discussion: Dr. Alice asks an important question: What is your default response when you become emotionally dysregulated? While everyone experiences emotional dysregulation, many of us fall into unhealthy coping patterns. Learning to recognize and understand your reactions is the first step toward emotional healing and healthier relationships. What does it mean to be independent in a relationship? When I notice flaws in someone, I completely reject them. I've read a lot about codependency, and my parents were physically and emotionally abusive. I turned down 10 job opportunities in other countries so I could spend more time with my girlfriend.  Now I feel unworthy because she has a successful business, and I don’t have a job.  After two years, she's upset that I haven't proposed. How can I overcome this terrible feeling of unworthiness? My daughter and her husband aren't united in helping my 4-year-old grandson resolve conflict. Instead, my grandson shuts down and holds the entire family hostage while my daughter and son-in-law continue to argue.