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Got a question or comment? Message us here!A massive breach has shaken the telecom world. In this episode of the #SOCBrief, we break down the alleged TELUS hack claimed by the ShinyHunters threat group, what data may have been stolen, and why the potential exfiltration of massive datasets could have far-reaching consequences for organizations worldwide. From OAuth tokens and API keys to customer PII and enterprise systems, we explore how attacks like this unfold and what organizations should be on the lookout.
You've worked across startups, agencies, and large enterprises. What connects all those chapters of your career and brought you to where you are today? What originally drew you to TikTok and made this role the right next step in your journey?As Head of US Enterprise Retail and Telecom how do you help legacy brands succeed on a platform that moves at internet speed? How do you help large enterprise retailers and CPG brands translate their existing strategies into something that feels native on TikTok and what separates brands that truly win from those that simply show up?Looking ahead what do you think brand leaders need to unlearn in order to win on modern platforms?
« Chez Mauritius Telecom, nous avons décidé d'investir dans l'éducation et de veiller à promouvoir l'inclusion », souligne Veemal Gungadin, CEO de Mauritius Telecom. À l'heure où Maurice célèbre ses 58 ans d'indépendance, Mauritius Telecom réaffirme son engagement envers l'éducation mauricienne. Le leader national des télécommunications, à travers son bras CSR, la Mauritius Telecom Foundation (MTF), apporte un soutien financier à l'école primaire du Morne pour un ensemble de projets pédagogiques. Grâce à cette aide, l'école pourra concrétiser plusieurs initiatives, notamment : L'aménagement de petites bibliothèques dans chaque salle de classe L'organisation d'activités de soutien après les heures de cours La mise à disposition d'un accès internet gratuit pendant un an Comme l'a souligné Veemal Gungadin, CEO de Mauritius Telecom, ces mesures visent à améliorer l'expérience éducative des élèves et à promouvoir l'inclusion. Le CEO a ajouté que l'objectif derrière ce projet était d'investir dans l'éducation des enfants pour promouvoir l'égalité des chances et l'inclusion, offrant ainsi à chaque élève les outils nécessaires pour réussir.
Investor Fuel Real Estate Investing Mastermind - Audio Version
In this inspiring interview, real estate investor Brian Biernat shares his journey from telecom engineer to successful real estate entrepreneur in Jackson, Mississippi. Discover how faith, resilience, and strategic focus shaped his path, offering valuable lessons for aspiring investors. Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind: Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply Investor Machine Marketing Partnership: Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true 'white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com Coaching with Mike Hambright: Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a "mini-mastermind" with Mike and his private clients on an upcoming "Retreat", either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas "Big H Ranch"? Learn more here: http://www.investorfuel.com/retreat Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform! Register here: https://myinvestorinsurance.com/ New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club —--------------------
The Cybercrime Magazine Podcast brings you daily cybercrime news on WCYB Digital Radio, the first and only 7x24x365 internet radio station devoted to cybersecurity. Stay updated on the latest cyberattacks, hacks, data breaches, and more with our host. Don't miss an episode, airing every half-hour on WCYB Digital Radio and daily on our podcast. Listen to today's news at https://soundcloud.com/cybercrimemagazine/sets/cybercrime-daily-news. Brought to you by our Partner, Evolution Equity Partners, an international venture capital investor partnering with exceptional entrepreneurs to develop market leading cyber-security and enterprise software companies. Learn more at https://evolutionequity.com
AI is no longer a technology experiment—it's a business imperative. Val Elbert, a member of BCG's Technology, Media & Telecommunications practice, explains why CEOs must shift from AI pilots to profit, demand quarterly results from all AI initiatives, and lead cross-functional AI transformations that deliver real bottom-line impact. The winners will scale fast. The rest will be left explaining themselves to investors. Learn More Val Elbert, BCG Managing Director and Senior Partner, https://www.bcg.com/about/people/experts/val-elbert As AI Investments Surge, CEOs Take the Lead, https://www.bcg.com/publications/2026/as-ai-investments-surge-ceos-take-the-lead Turning AI Disruption into a Telco's Growth Engine, https://www.bcg.com/publications/2026/turning-ai-disruption-into-telcos-growth-engine Driving Growth and Innovation at Verizon Consumer Group, https://www.bcg.com/publications/2025/driving-growth-innovation-leading-telcoChapters00:00 Introduction 00:44 Where TMT companies stand on AI adoption02:32 The boardroom shift from AI pilots to scale03:11 Building AI into business agendas03:49 AI adoption patterns across industries 04:37 Leaders need to see quarterly results05:22 Why AI can't run as a three-year program05:59 What separates AI winners07:22 Why structure needs to change07:52 Where friction blocks AI value creation09:19 How to focus amid technology noise10:00 The mindset shift to move from AI pilots to P&L10:30 What scaling AI in telecom looks like12:08 The role of humans in an AI-driven operating model13:28 What the next 18 months will look like13:55 Will AI drive mergers?15:10 Is It harder for legacy companies to compete in AI?15:36 How AI-driven change will impact consumers16:44 If you're stuck in the pilot phase17:45 Physical AI at MWC Barcelona18:11 OutroSubscribe to BCG's YouTube channel: https://goo.gl/hsFsVT Visit us at https://www.bcg.comThis podcast uses the following third-party services for analysis: Podtrac - https://analytics.podtrac.com/privacy-policy-gdrp
Many people who don't have a clear understanding of career planning often choose the wrong subject or the wrong certifications, which causes them to fall behind for years. However, with the right direction, someone can start from Accounting and even reach the position of a CEO.Our guest, Mahtab Uddin Ahmed (Founder & Managing Partner of BuildCon Consultancies), shares his incredible journey starting from an Accounting background and rising to leadership positions in the Telecom and FMCG industries. Today, he is guiding young professionals to make better career decisions.In this podcast, we discuss:1. How to choose the right career and the mistakes that can ruin your entire journey2. What career opportunities exist for those who study Accounting3. The real difference between CA and CMA, and which one might be the best fit for you4. Which skills you should start building now if you want a secure job5. Bangladesh has fewer than 3,500 qualified accountants how this gap can become an opportunity for you6. How a CEO leads and manages an entire team7. What it truly takes to become an effective leaderIf you are still unsure about your career path, studying Accounting or Finance, or aiming to move into leadership in corporate life, this episode is a must-watch for you
Ministre de l'Économie numérique, de la Digitalisation et de l'Innovation du Gabon, Marc-Alexandre Doumba fait partie de la nouvelle génération de responsables africains qui misent sur la technologie pour accélérer le développement économique. Grand invité de l'économie RFI / Jeune Afrique, il revient au micro de Bruno Faure et Quentin Velluet sur sa vision du numérique comme levier stratégique de croissance pour l'Afrique, les enjeux de régulation des plateformes et le potentiel de l'intelligence artificielle dans les économies émergentes. Les principales thématiques de l'entretien Les conséquences de la guerre au Moyen-Orient
Ministre de l'Économie numérique, de la Digitalisation et de l'Innovation du Gabon, Marc-Alexandre Doumba fait partie de la nouvelle génération de responsables africains qui misent sur la technologie pour accélérer le développement économique. Grand invité de l'économie RFI / Jeune Afrique, il revient au micro de Bruno Faure et Quentin Velluet sur sa vision du numérique comme levier stratégique de croissance pour l'Afrique, les enjeux de régulation des plateformes et le potentiel de l'intelligence artificielle dans les économies émergentes. Les principales thématiques de l'entretien Les conséquences de la guerre au Moyen-Orient
Live from Morgan Stanley's TMT conference, our panel break down where AI is already delivering real returns—and where rapid advances are raising new risks.Read more insights from Morgan Stanley.----- Transcript -----Michelle Weaver: Welcome to Thoughts on the Market. I'm Michelle Weaver, U.S. Thematic and Equity Strategist here at Morgan Stanley.Today we've got a special episode on AI adoption. And this is a first in a two-part conversation live from our Technology, Media and Telecom conference.It's Thursday, March 5th at 11am in San Francisco.We're really excited to be here with all of you taping live. And we've got on stage with me. Stephen Byrd, he's our Global Head of Thematic and Sustainability Research; Josh Baer, Software Analyst; and Lindsay Tyler, TMT Credit Research Analyst.So, Stephen, I want to start with you, pretty broad, pretty high level. We recently published our fifth AI Mapping Survey that identifies how different companies are exposed to the broad AI theme. Can you just share with us some insights from that piece and how stocks are performing with this AI exposure?Stephen Byrd: Yeah, it's interesting. I mean, we've been doing this survey now, thanks to you, Michelle, and your excellent work, for quite a while. And every six months it is pretty telling to see the progression.I would say a few things that got my attention from our most recent mapping was the number of companies that are quantifying the adoption benefits continues to go up quite a bit. And to me that feels like that's going to be table stakes very soon as in every industry you see two or three companies that are really laying out quite specifically what they expect to be able to do with AI and lay out the math. I think that really is going to pull all the other companies to follow suit. So, we're seeing that in a big way.We do see adopters, with real tangible benefits performing well. But a new thing that we're seeing now, of course, in the market is concerns that in some cases adoption can lead to dramatic deflation, disruption, et cetera. That's coming up as well. So, we're seeing greater concerns around disruption as well.But broadly, I'd say a proliferation of adoption, that that universe of companies continues to grow, increases in quantification of the benefits. So, that is good. What's really surprised me though, is the narrative among investors has so quickly moved from those benefits which we've talked about into flipping that to toggle all negative, which I know some of our analysts have to deal with every day. The mapping work suggests significant benefits. But the market is fast forwarding to very powerful AI that is very disruptive in deflation. And that's been a surprise to me.Michelle Weaver: Mm-hmm. Josh, I want to bring software into this. Your team has been arguing that AI is actually good for software. And it's really something that you need that application layer to then enable other companies to adopt AI. Can you tell us a little bit about how much GenAI could add to the broader enterprise software market? And how are you thinking about monetization these days?Josh Baer: Of course. I think the best starting place is a reminder that AI is software, and so we see software as a TAM expander. And in many ways, even though this is extremely exciting innovation, it's following past innovation trends where first you see value accrue and market cap accrue to semiconductors, and then hardware and devices, and then eventually software and services. And we do think that that absolutely will occur just given [$]3 trillion in infrastructure investment into data centers and GPUs.There's got to be an application layer that brings all of these productivity and efficiency gains to enterprises and advanced capabilities to consumers as well. And so we see AI more as an evolution for software than a revolution. An evolution of capabilities and expansion of capabilities. LLMs and diffusion engines absolutely unlocked all of these new features of what software can do. But incumbents will play a key role in this unlock.And our CIO surveys really support that. Quarterly we ask chief information officers about their spending intentions, and these application vendors who we cover in the public markets are increasingly selected as vendors that companies will go to, to help deploy and apply AI and LLM technologies.So, to answer your question, we estimate GenAI could unlock [$]400 billion in incremental TAM for software; for enterprise software by 2028. And this is based on looking at the type of work able to be automated, the labor costs associated with that work, the scope of automation, and then thinking about how much of that value is captured typically by software vendors.Michelle Weaver: And you have a bit of a different lens on AI adoption. So, what are some of the ways you're hearing software customers using these AI tools and anything interesting that popped up at the conference?Josh Baer: To echo what Stephen laid out, I mean, all of our software companies are using AI internally, both to drive efficiencies, but also to move faster. So thinking about product. Innovation, you know, the incumbents are able to use all of the same coding tools and, you know, …Michelle Weaver: Mm-hmm.Josh Bear: … products geared to developers to move faster and more efficiently on R&D. So, they're doing more. From a sales and marketing perspective, a G&A perspective, every area of OpEx, our software companies are in a great position to deploy the AI tools internally.I think more important[ly], speaking to this TAM and expanded opportunity, is our companies have skews that they're monetizing. It might be a separate suite that incorporates advanced AI functionality. It might be a standalone offering, or it might be embedded into the core platform because the essence of software is AI and it, you know, leading to better retention rates and acceleration from here.Michelle Weaver: Mm-hmm. And Stephen, going back to you on the state of play for AI, we had the AI labs here and we heard a lot about the developments and what's to come. So, what's your view on the trajectory for LLM advancements and what are some of the key signposts or catalysts you're watching here?Stephen Byrd: Yeah, this is for me, maybe the most important takeaway of the conference – is this continued non-linear improvement of LLMs, which we've been writing about for quite some time. And just to give you an example, we think many of the labs have achieved a step change up in terms of the compute that they have, in some cases 10 x the amount of compute to train their LLMs. And that [if] the scaling laws hold – and we see every sign that they will – a 10x increase in compute used to train the models results in about a doubling of the model capabilities.Now just let that sink in for a moment. Let's just think about that. A doubling from here in a relatively short period of time is difficult to predict. It's obviously very significant and I think several of the LLM execs at our event sounded to me extremely bullish on what that will be. A lot of that I think will be evident in greater agentic capabilities.But also, I'd say greater creativity. It was about three weeks ago, three of the best physics minds in the world worked with an LLM to achieve a true breakthrough in physics – solving a problem that had never been solved before. A couple of days ago, a math team did the same thing. And so, what we're seeing is sort of these breakthrough capabilities in creativity. This morning I thought Sam speaking to, you know, incredible increases in what these models can do – which also brings risk. You know, I think it was interesting he spoke to, you know, the risk of misalignment, the risk of what these models are doing.But for me, that's the single biggest thing that I'm thinking about, and that's going to be evident in the next several months.Michelle Weaver: Mm-hmm.Stephen Byrd: So, you know, on the positive side, it leads to greater benefits from AI adoption. And to Josh's point that, you know – more and more the economy can be addressed by AI, I do get concerned about the risk that that kind of step change will create greater concerns about disruption and deflation.That causes me to think a lot about that dynamic. Interestingly, we think the Chinese labs will not be able to keep pace just for one reason, which is compute. We think the Chinese labs have everything else they need. They have the talent, the infrastructure. They certainly have the energy, power. But they don't have the chips.If what we laid out with the American models turns out to be true, I could see a chain reaction where the Chinese government pushes the Trump administration for full transfer of the best technology to China. And China could use their rare earth trade position to ensure that. So, that's sort of the chain reaction I've been thinking about.Michelle Weaver: Mm-hmm. So, let's think about then bottlenecks in the U.S. Power is still one of the main bottlenecks. We had several of the solutions providers here at the conference. So, what are you thinking in terms of the size of the power bottleneck in the U.S. and how are we going to fix that?Stephen Byrd: Yeah, absolutely. I am bullish on the companies that can de-bottleneck power, not just in the U.S., a few other places. Let's go through the math in terms of the problem we face and then the solution.So, we have this very cool – it is cool if you're a nerd – power model that starts in the chip level up, from our semiconductor teams. And from that, we build a global power demand model for data centers. We then apply that to the U.S.Through 2028 we need about 74 gigawatts of data centers, both AI and non-AI to be built in the United States. I don't think we'll be able to achieve that for lots of reasons. But starting from that 74, we have sort of 10 gigs that have been recently built or are under construction. We have 15 gigs of incremental grid access, but after those two, we have to go to unconventional solutions, meaning typically off-grid solutions, over 40 gigawatts of unconventional solutions.So that will be repurposing Bitcoin sites, which could be sort of 10 to 15 gigawatts. That'll be big. Renewable energy, fuel cells will be part of the solution. Gas turbines will be a big part of the solution. Co-locating at a few nuclear plants. I'm less bullish than I used to be on that. But when we net all that out, we think the U.S. is likely to be 10 to 20 percent short of the data center capacity that will need to be in.It's not just a power grid access issue, though, that's a big one. Labor is now showing up as a huge issue. Many of the companies I speak to trying to develop data centers struggle with availability of labor. Electricians being one very tangible example. In the U.S. we need hundreds of thousands of additional electricians.So, for any of your children, like mine, thinking about careers, you know, you'd be surprised [at] the amount of money that people are making in the infrastructure business that does feel like it's a labor shift that's going to have to happen, but it's going to take years. So, in that context, we had a number of the Bitcoin companies at our event here. And the economics of turning a Bitcoin site into hosting a data center are extremely attractive. I mean, extremely attractive.To give you a sense of that. Before this opportunity presented itself to these Bitcoin players, those stocks tended to trade at an enterprise value per watt of about $1 to $2 a watt. Then we started to see these deals in which the Bitcoin players build a data center and lease them to hyperscalers. Those deals – depends a lot on the deal but – have created between $10 and $18 a watt of value. Let me repeat that. 10 to 18 – relative to where these stocks were at 1 to 2.Now many of these stocks have rerated, but not all of them. And there's still quite a bit of upside. And what we've noticed is the economics that the hyperscalers are paying are trending up and up and up. Because of this power shortage that we're dealing with. So, a lot of exciting opportunities are still in the power space.Michelle Weaver: Great. Well, I think that's a good place to wrap this first part of our conversation around AI adoption and the state of play. We'll be back again tomorrow with Part Two, looking at financing and risks.To our panelists, thank you for talking with me. And to our audience, thanks for listening. If you enjoy Thoughts on the Market, please leave us a review wherever you listen and share the podcast with a friend or colleague today.
In the second of our two-part panel discussion from Morgan Stanley's TMT conference, our analysts break down the complexity of financing AI's infrastructure and the technological disruption happening across industries.Read more insights from Morgan Stanley.----- Transcript -----Michelle Weaver: Welcome back to Thoughts on the Market, and welcome to part two of our conversation live from the Technology, Media and Telecom conference. I'm Michelle Weaver, U.S. Thematic and Equity Strategist at Morgan Stanley. Today we're continuing our conversation with Stephen Byrd, Josh Baer and Lindsay Tyler. This time looking at financing AI and some of the risks to the story. It's Friday, March 6th at 11am in San Francisco. So yesterday we spoke about AI adoption. And while there's a lot of excitement on this theme, there've also been some concerns bubbling up. Lindsay, I want to start with you around financing. That's another critical component of the AI build out. What's your latest on the magnitude of the data center financing gap, and what role [are] credit markets playing here? Lindsay Tyler: Yeah, in partnership with Thematic Research, Stephen and team, and colleagues across fixed income research last summer, we did put out a note, thinking about the data center financing gap, right? So, Stephen and team modeled a $3 trillion global data center CapEx need over a four-year timeframe. So, in partnership with fixed income across asset classes, we thought: okay, how will that really be funded? And we came to the conclusion that the hyperscalers, the high quality hyperscalers, generate a good amount of cash flow, right? So, there's cash from ops that can fund approximately half of that. But then we think that fixed income markets are critical to fund the rest of the funding gap. And really private credit is the leader in that and then aided by corporate credit and also securitized credit. What we've seen since is that yes, private credit has served a role. There is this difference between private credit 1.0, which is more of that middle market direct lending. And then private credit 2.0, which is more ABF – Asset Based Finance or Asset Backed Finance. And what we see there is an interest in leases of hyperscaler tenants, right? We've also seen in the market over the past nine months or so, investment grade bond issuance by hyperscalers. Obviously, a use of cash flow by hyperscalers. We've seen the construction loans with banks and also private credit per reports. We've also seen high yield bond issuance, which is kind of a new trend for construction financing. We've seen ABS and CMBS as well. And then something new that's emerging in focus for investors is more of a chip-backed or compute contract backed financings, like more creative solutions. We're really in early innings of the spend right now. And so, there is this shift. As we start to work through the construction early phases, the next focus is: okay, but what about the chips? And so, I think a big focus is that, you know, chips are more than 50 percent of the spend for if you're looking at a gigawatt site. And it depends what type of chips and kind of what generation. But that's the next leg of this too. So, it's kind of a focus, you know, for 2026. Michelle Weaver: And how do you view balance sheet leverage and financing when you think about hyperscaler debt raising magnitude and timelines? Lindsay Tyler: So just to bring it down to more of a basic level, if you need compute, you really might need two things, right? A powered shell and then the chips. And so, if you're looking for that compute, you could kind of go in three basic ways. You could look to build the shell and kind of build and buy the whole thing. You could lease the shell, from, you know, a developer, maybe a Bitcoin miner too – that is converted to HBC. And then you kind of buy the chips and you put them in yourselves. Or you could lease all the compute; quote unquote lease, it's more of a contract. In terms of the funding, if you're thinking about the cash flows of some of the big companies – think of that as primarily being put towards chip spend. If you're thinking about the construction that's kind of split between cash CapEx but also leases. And so, what we've seen is that there is more than [$]600 billion of un-commenced lease obligations that will commence over the next two to five years, across the big four or five players. And then my equity counterparts estimate around [$]700 billion of cash CapEx that needs this year for some of those players as well. So, these are big numbers. But that's kind of how, at a basic level, they're approaching some of the financing. It's a split approach. Michelle Weaver: And what have you learned around financing the past few days at the conference? Anything incremental to share there? Lindsay Tyler: Sure. Yeah. I think I found confirmation of some key themes here at the conference. The first being that numerous funding buckets are available. That was a big focus of our note last year is that you can kind of look at asset level financing. You can look at public bonds, you can look at some equity. There are these different funding buckets available.The second is that tenant quality matters for construction financing. I think I've seen this more in the markets than maybe at this conference over the past two to three weeks. But that has been a focus of pricing for the deals, but also market depth for the deals. A third confirmation of a key theme was around the neo clouds and also the GPU as a service business models. Thinking about those creative financings, right. Are they thinking about from their compute counterparties? Would they like upfront payments? Might they look to move financing off [the] balance sheet, if they have a very high-quality investment grade rated counterparty? So, there is some of this evolution around those solutions. And then a fourth key theme is just around the credit support. And Stephen has and I have talked about this around some of the Bitcoin miners – is that, you know, there can be these higher quality investment grade players that might look to lend their credit support. Maybe a lease backstop to other players in the ecosystem in order to get a better pricing on construction financing. And we are seeing some press pickup around how that might play out in chip financing down the road too. Michelle Weaver: Mm-hmm. AI driven risk and potential disruption has been a big feature of the price action we've seen year-to-date in this theme. Stephen, what are some asset classes or businesses you see as resistant to some of this disruption? Stephen Byrd: We spend a lot of time thinking about, sort of, asset classes that are resistant to deflation and disruption. And what's interesting is there's actually a handful of economists in the world that are doing remarkable work on this concept. That they would call it the economics of transformative AI. There are three Americans, two Canadians, two Brits, a number of others who are doing really, really interesting work. And essentially what they're looking at is what do economies look like? As we see very powerful AI enter many industries – cause price reductions, deflation… What does that do? They have a lot of interesting takeaways, but one is this idea that the relative value of assets that cannot be deflated by AI goes up. Very simple idea. But think of it this way, I mean, there's only, you know, one principle resort on Kauai. You know, there's a limited amount of metals. And so, what we go through is this list that's gotten a lot of investor attention of resistant asset classes or more of the resistant asset classes that can go up in value. So, there are obvious ones like land, though you have to be a little careful with real estate in the sense that like, office real estate probably wouldn't be where you would go. Nor would you potentially go sort of towards middle income, lower income housing. But more, you know, think of industrial REITs, higher-end real estate. But there are a lot of other categories that are interesting to me. All kinds of infrastructure should be quite resistant, all kinds of critical materials. Metals should do extremely well in this. But then when you go beyond that, it's actually kind of interesting that there; arguably there's a longer list than those classic sort of land and metals examples.Examples here would be compute… Michelle Weaver: Mm-hmm. Stephen Byrd: I thought Jensen put it, well, you know, if there's a limited amount of infrastructure available, you want to put the best compute. And ultimately, in some ways, intelligence becomes the new coin of the realm in the world, right? So, I would want to own the purveyors of intelligence. It could include high-end luxury. It could include unique human experiences. So, I don't know how many of y'all have children who are sort of college age. But my children are college age, and they absolutely hate what they would call AI slop.They want legit human content, and they seek it out. And they absolutely hate it when they see bad copies of human content. And so, I think there is a place in many parts of the economy for unique human experiences, unique human content, and it's interesting to kind of seek out where that might be in the economy. So those would be some examples of resistant assets. Michelle Weaver: Mm-hmm. Josh, software's been at really the center of this AI disruption debate. How would you compare the current pullback in software multiples to prior periods of peak uncertainty? And do you think any of these concerns are valid? Or how are you thinking about that? Josh Baer: Great question. I mean, software multiples on an EV to sales basis are down 30 – 35 percent just from the fall, I will say. And that's overall in the group. A lot of stocks, multiple handfuls, are down 60-70 percent over the last year. And what's being priced in is really peak uncertainty, a lot of fear. And these multiples, now four times sales – takes us all the way back about 10 years to the shift to cloud. And this time in many ways reminds us of that period of peak fear. In this case, what's being priced in is terminal value risk. We talked about this TAM yesterday. But you know, who is going to win that share? How is it divided from a competitive perspective across these model providers? The LLMs with new entrants. Of course, the incumbents. And this other idea of in-housing. Michelle Weaver: Mm-hmm. Josh Baer: So, there's competitive risk, there's business model risk. Are companies going to need to change their pricing models from seat-based to consumption or hybrid. And then last margin risk. Just thinking about the higher input costs and higher capital intensity. And so, you know, all of those fears are being priced in right now. Michelle Weaver: And we, of course though, had a bunch of these companies live with us at the conference. How are they responding to some of these risks? How are they addressing these investor concerns? Josh Baer: Most of the companies here from our coverage are the incumbent software vendors. And I think that the leadership teams did a really nice job coming out and defending their competitive moats and really articulating the story of why they are in a great position to capitalize on the opportunity. And the reasons can vary across different companies. But some of the commonalities are around enterprise grade, trust, security, governance, acceptance from IT organizations.The idea of vibe coding all apps in an organization get squashed when you actually talk to companies and chief information officers. For some companies there's proprietary data moats, network effects. All of that's on top of existing customer relationships. And so, you know, that was the message from the companies that we had. That we're the incumbents. We get to use all of the same innovative AI technology in the same way that all these different competitive buckets do. But we have, you know, that differentiation in that moat. And so, we're in a good place. Michelle Weaver: I want to wrap on a positive note. Stephen, what did you hear at the conference that you're most excited about? Stephen Byrd: I'd say the life sciences. A few investors pointed out that perhaps AI has a PR problem these days. And I do think showing a significant benefit to humanity in terms of improved health outcomes, whether that's just better diagnosis, you know. Away from this event, but I was in India the week before and, you know, AI can have a powerful benefit to the people who suffer the most in terms of providing very powerful medical tools in a distributed manner. So, I'm a big fan there.But you know, in many ways, curing the most challenging diseases plaguing humanity. The kind of problems involved in providing those and developing those cures are perfect for AI. So that, for me – stepping way back – that is by far the most exciting thing. Michelle Weaver: Josh, same to you. What are you most excited about? Josh Baer: From my perspective, it's potentially the turning point for software. The ability to showcase that we are at this inflection point and acceleration. To actually see that it takes time for our software companies to develop new AI technologies. Put that into products that have been tested and proven and go through the enterprise adoption cycle. And that we're at the cusp of more adoption – that's what our survey work says. And to see that inflection, I think can help to rerate this sector. Michelle Weaver: Lindsay, same question for you… Lindsay Tyler: Maybe I'll tie it to markets. I've already had a lot of more conversations with equity investors over the past, how many months? There's a big fixed income focus right now, which is a great, you know, spot and really interesting opportunity in my seat. And there's a lot of interesting structures coming to be right now in the credit space. So, I think it's an exciting time. Michelle Weaver: Lindsay, Stephen, Josh, thank you very much for joining to recap the event and let us know what you learned at the conference. To our audience, thank you for listening here live. And to our audience tuning in, thanks for listening. If you enjoy Thoughts on the Market, please leave us a review wherever you listen. And share the podcast with a friend or colleague today.
Uma tela capaz de exibir imagens em 3D sem a necessidade de óculos promete mudar a forma como marcas se comunicam com consumidores em ambientes físicos. Essa é a proposta do Spatial Signage, nova solução da Samsung voltada para experiências imersivas em espaços comerciais. Apresentada recentemente durante a CES, a tecnologia chega agora ao mercado brasileiro com potencial para transformar vitrines, lojas, museus e até arenas esportivas. No novo episódio do Podcast Canaltech, conversamos com Kauê Melo, diretor sênior da Divisão B2B da Samsung Brasil, para entender como funciona essa tecnologia e quais setores devem ser os primeiros a adotá-la. Durante a conversa, o executivo explica como o Spatial Signage se diferencia de painéis tradicionais de LED, qual é a experiência de visualização para o público e como a inteligência artificial pode ajudar empresas a criar conteúdos tridimensionais de forma mais simples. Você também vai conferir: linha 5 do metrô de São Paulo agora tem 4G e 5G em todas as estações, Telecom discute cobrar por “tokens de IA” no lugar de gigabytes e Hackers exploram poucas brechas, mas com grande impacto. Este podcast foi roteirizado por Fernada Santos e apresentado por Marcelo Fischer e contou com reportagens de Wendel Martins e Jaqueline Souza, sob coordenação de Anaísa Catucci. A trilha sonora é de Guilherme Zomer, a edição de Yuri Sousa e a arte da capa é de Erick Teixeira.See omnystudio.com/listener for privacy information.
À l'occasion du Mobile World Congress à Barcelone, le marché mondial du smartphone confirme son entrée dans une phase de maturité. La croissance ralentit, les positions se stabilisent. Pourtant, un acteur continue de progresser : Xiaomi. Avec environ 13% des ventes mondiales, le groupe chinois s'impose durablement comme le numéro trois mondial, derrière Samsung Electronics et Apple. Analyse d'une stratégie qui bouscule les équilibres du secteur. À Barcelone, le Mobile World Congress reste le plus grand rendez-vous mondial consacré à la téléphonie mobile. Un secteur devenu incontournable : aujourd'hui, presque tout le monde possède un smartphone. Mais le marché est désormais arrivé à maturité. La croissance des ventes ralentit et les cycles de renouvellement s'allongent. Dans ce contexte stabilisé, deux géants dominent toujours : Apple et Samsung, qui contrôlent chacun environ 20% des ventes mondiales. À lire aussiLes opérateurs télécom européens face au défi de la régulation Juste derrière, Xiaomi s'est installé solidement sur la troisième marche du podium avec environ 13% du marché mondial. Et ce positionnement dure depuis plusieurs années. Ce n'est pas la première fois qu'un acteur chinois atteint ce niveau. On se souvient de Huawei, qui avait brièvement dépassé Apple et Samsung début 2020. Mais les sanctions américaines ont privé le groupe d'Android et des services Google, provoquant un recul brutal à l'international. Xiaomi a su, lui, profiter de cette recomposition du marché. Internationalisation et rapport qualité-prix : les clés du succès de Xiaomi Il existe plusieurs pistes pour expliquer comment Xiaomi parvient à talonner Apple et Samsung sur le marché mondial du smartphone. La première, c'est l'internationalisation. Dès le début des années 2010, le groupe part à l'assaut des marchés étrangers. Il s'implante en Asie du Sud-Est, en Inde, en Amérique latine et surtout en Europe, où il occupe la troisième place depuis six ans. Sur certains trimestres, Xiaomi dépasse même Apple en Europe, notamment lorsque la firme américaine se trouve entre deux cycles de lancement d'iPhone. Cela ne signifie pas qu'Apple est en difficulté structurelle, mais cela montre que Xiaomi est devenu un substitut crédible dans un marché où les consommateurs comparent davantage et recherchent le meilleur rapport qualité-prix. À lire aussiComment l'intelligence artificielle menace la production mondiale de smartphones en 2026 Autre élément stratégique, Xiaomi est quasiment absent du marché américain. Contrairement à Apple et Samsung, le groupe ne dépend pas de ce marché, ce qui limite son exposition aux tensions géopolitiques, tout en laissant un potentiel de croissance futur. Historiquement, la force de Xiaomi repose sur des smartphones vendus autour de 200 dollars, soit l'équivalent d'un milieu de gamme chez Samsung. Le groupe mise sur des volumes importants et des prix compétitifs pour séduire les marchés sensibles aux coûts. Montée en gamme, écosystème et ambition mondiale Mais Xiaomi ne veut plus se limiter à l'entrée et au milieu de gamme. Au Mobile World Congress de Barcelone, le constructeur a démontré sa capacité à rivaliser sur le segment premium : technologies de pointe, composants dernière génération et surtout six années promises de mises à jour logicielles, un argument stratégique face à Apple et Samsung. L'objectif est clair, monter en gamme pour améliorer la rentabilité. Car sur le segment haut de gamme, les marges sont nettement plus élevées. Autre atout majeur : l'écosystème. Xiaomi ne vend plus seulement des smartphones. Le groupe propose des montres connectées, des bracelets, des téléviseurs, des trottinettes électriques, de l'électroménager et même des voitures électriques. Cette stratégie rappelle celle de BYD dans l'automobile : combiner innovation technologique, maîtrise des coûts et diversification pour renforcer sa position mondiale. En combinant internationalisation, compétitivité tarifaire, montée en gamme et écosystème élargi, Xiaomi dispose aujourd'hui de solides arguments pour continuer à réduire l'écart avec Apple et Samsung sur le marché mondial du smartphone. La question n'est plus de savoir si le groupe chinois est un acteur majeur du secteur. La véritable interrogation est désormais: jusqu'où peut-il aller ?
Analysts Don Kellogg and Roger Entner unpack the week's top telecom stories, including a leadership shakeup at Charter, accelerating rural consolidation, and the strategic void left by 5G Americas' dissolution.00:00 Episode intro 00:25 Charter announces Nick Jeffery as COO 02:46 Rural ISP consolidation accelerates 04:38 5G Americas announces cessation of operations 07:58 Effects on the analyst community 09:01 Episode wrap-upTags: telecom, telecommunications, wireless, prepaid, postpaid, cellular phone, Don Kellogg, Roger Entner, Charter, Frontier, Verizon, Vodafone, fiber, cable, Nick Jeffery, Chris Winfrey, rural, Metro Connect, FWA, 5G Americas, AT&T, T-Mobile, Neville Ray, Sprint, Chris Pearson, vendors
In a recent episode of the award-winning Consumer Finance Monitor podcast, Alan Kaplinsky was joined by Nick Bourke, Kate Griffin, and Ballard Spahr partner Joseph Schuster to discuss a groundbreaking new report from the Aspen Institute Financial Security Program: United We Stand: A National Strategy to Prevent Scams. The episode builds on Nick and Kate's prior appearance on the podcast last July, when the report was still in development. Now finalized, the report offers one of the most comprehensive frameworks to date for addressing what has become a systemic threat to American households and the broader financial system. The Scope of the Problem: A Systemic Threat Frauds and scams are no longer isolated consumer protection issues. According to the report, U.S. households are losing an estimated $196 billion annually to scams — roughly $1 billion every couple of days. One in five American adults reports having lost money to an online scam. As Nick Bourke explained, today's scams are: · Technology-enabled · Highly organized and industrialized · Often operated by transnational criminal organizations · Accelerating due to AI and faster payment systems The so-called scam "lifecycle" includes four stages: 1. Lead – Hooking the victim 2. Deceive – Building trust (often through impersonation or relationship-building) 3. Bleed – Extracting funds 4. Clean – Laundering proceeds, often through cryptocurrency or offshore channels Different sectors see only fragments of this lifecycle; social media platforms may see the "lead," financial institutions the "bleed," and law enforcement the "clean." That fragmentation allows criminals to scale operations while defenders remain siloed. Why Scams Are Rising Despite Heavy Investment As Kate Griffin noted, industry and government are investing heavily in prevention. Yet scams continue to grow. Why? · Fragmentation across sectors: No single actor sees the entire attack sequence. · Outdated reporting infrastructure: Federal systems at agencies like the FBI and FTC remain manual and technologically antiquated. · Regulatory uncertainty: Financial institutions and technology platforms face unclear expectations about what data they can use and share. · Speed of modern payments: Faster money movement means faster losses. Joseph Schuster emphasized that many financial institutions are strongly incentivized to prevent fraud as they often bear reputational and financial risk when scams succeed. But legal ambiguity, especially under statutes like the Fair Credit Reporting Act, can chill data-sharing and innovation. Core Recommendations from the Aspen Report The report outlines both high-level national reforms and granular operational improvements with more than 180 specific ideas. 1. Elevate Scam Prevention to a National Priority The report calls for: · A designated federal lead (or "czar") to coordinate strategy · A whole-of-government approach · Clear national goals and metrics Without centralized leadership, enforcement and regulatory actions remain fragmented. 2. Modernize Law Enforcement Reporting Systems Federal reporting portals, including Suspicious Activity Reports (SARs), the FBI's complaint systems, and the FTC's databases, require modernization. The report recommends: · Streamlined, automated reporting · Backend data interoperability across agencies · Advanced analytics and AI tools for enforcement 3. Establish Clear Duties to Act Paired with Safe Harbors One of the most important themes discussed was the need for: · Clear expectations for banks, telecom companies, and digital platforms · Safe harbors that protect companies when sharing scam intelligence in good faith Countries like Australia have already codified such frameworks. The U.S. has yet to establish similarly coordinated standards. 4. Build a Cross-Sector Information-Sharing Ecosystem Effective scam prevention requires: · Exchange of scam indicators (malicious URLs, compromised phone numbers, device patterns) · Interoperable information-sharing platforms · Privacy-preserving architecture · Legal clarity to mitigate antitrust and consumer reporting concerns Joseph noted that industry appetite for collaboration is strong but clarity and guardrails are essential. 5. Consider a U.S. National Anti-Scam Center The report explores the idea of a centralized "front door", potentially something like stopscams.gov, that would: · Serve as a national reporting hub · Provide victim resources · Facilitate coordination among law enforcement · Support public education campaigns Social Media and Platform Responsibility The discussion also addressed the evolving role of digital platforms. Scam activity frequently originates through: · Paid advertisements · Dating applications · Direct messaging · Fake investment websites Compared to banks, social media companies operate within a less clearly defined regulatory structure. Courts are increasingly developing theories of "platform liability," but statutory clarity is lacking. The report urges policymakers to define reasonable expectations for platforms — paired with safe harbors and practical tools that empower prevention rather than merely assign blame. What Happens Next? The key question: who implements this strategy? Kate Griffin emphasized that this is a whole-of-society problem requiring coordinated action by: · Federal leadership · Congress · Financial institutions · Telecom and digital platforms · Law enforcement · Civil society There have been encouraging developments, including: · Treasury and State Department sanctions targeting transnational scam networks · A joint DOJ–FBI–Secret Service initiative targeting Southeast Asian scam operations o But much more remains to be done. Nick Bourke suggested that, one year from now, real success would include: · A designated federal anti-scam lead · A congressional commission · Measurable national prevention goals · Corporate adoption of formalized anti-scam strategies Joseph Schuster added that industry innovation is ongoing, particularly in artificial intelligence, biometrics, and authentication, but warned that fragmented state-level regulation could complicate progress. Key Takeaways Alan Kaplinsky closed the episode with several important observations: · Fraud and scams are now a systemic threat, not a niche compliance issue. · Prevention, not just reimbursement, must be the organizing principle. · Coordination matters as much as authority. · Good-faith companies need regulatory clarity, not just enforcement pressure. · Reducing scams strengthens trust in the U.S. financial system and digital economy. The Aspen report reframes the debate. Rather than assigning blame, it calls for aligned incentives, shared responsibility, and coordinated national action. If the title of the report, United We Stand, becomes reality, the United States may finally begin to bend the curve on one of the most costly and fast-growing threats facing consumers today. For more insights on consumer financial services developments, visit Ballard Spahr's Consumer Finance Monitor blog and explore the full Aspen Institute report here. Consumer Finance Monitor is hosted by Alan Kaplinsky, Senior Counsel at Ballard Spahr, and the founder and former chair of the firm's Consumer Financial Services Group. We encourage listeners to subscribe to the podcast on their preferred platform for weekly insights into developments in the consumer finance industry.
Microsoft just dropped patches for SIX actively exploited zero-day vulnerabilities — and that's just the beginning. In this week's Hacking News, we break down the February 2026 Patch Tuesday emergency, North Korea's Lazarus Group poisoning npm and PyPI through fake job recruiters, nation-state hackers weaponizing Google's Gemini AI (including malware that writes its own payloads), a massive Dutch telecom breach affecting 6.2 million people, and a U.S. government contractor breach that ballooned from 4 million to potentially tens of millions affected. This is Exploit Brokers by Forgebound Research — cybersecurity news, threat intelligence, and insights. Whether you're a security analyst, developer, or just someone who wants to stay informed, this episode has something for you.
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Мы уже рассказывали несколько раз про eBPF. И пришло время к нему вернуться. И обсудим мы его самое что ни на есть практическое применение.. в гиперскейлерах. Про что: html Введение в BPF: механика работы, виды хуков (sockops, TC, XDP) и диапазон решаемых задач — от мониторинга до безопасности. XDP глубокого погружения: как устроен балансировщик Katran, можно ли реализовать BGP-роутинг на XDP и особенности работы с единственным хуком в системе. Задачи Traffic Team: L3-балансировка (TCP bypass), кейс с включением Яндекса в мировой NTP-пул и особенности обработки DHCP на высоких скоростях. Стабильность DNS: методы классификации трафика, изоляция «тяжелых» запросов и защита от DoS-атак через BPF socket selection и CPU affinity. Архитектура DNS XDP Offload: перенос формирования ответов в ядро (минуя userspace), роль контроллера и парсинг пакетов «на лету» для экстремальной производительности. Технические вызовы: эволюция от простых A/AAAA записей до сложных ответов, проблемы IP-фрагментации и конвейерная обработка TCP. Результаты внедрения: время обработки менее 100 нс, кратный рост пропускной способности и цена, которую приходится платить CPU за подготовку данных. Острие технологий: новые возможности ядра (bpf_arena, таймеры) и идея создания самообучающегося кеша внутри XDP для отказа от подготовки данных. Оставайтесь на связи Пишите нам: info@linkmeup.ru Канал в телеграме: t.me/linkmeup_podcast Канал на youtube: youtube.com/c/linkmeup-podcast Подкаст доступен в iTunes, Google Подкастах, Яндекс Музыке, Castbox Сообщество в вк: vk.com/linkmeup Группа в фб: www.facebook.com/linkmeup.sdsm Добавить RSS в подкаст-плеер. Пообщаться в общем чате в тг: https://t.me/linkmeup_chat Поддержите проект:
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On the phone-in: Maritime Noon teams up with Asha Tomlinson from CBC's Marketplace to discuss the rise in complaints about telecom companies and the lack of service. We're also joined by Mohammed Halabi, director and founder of MyBillsAreHigh.com. Listeners calls and share their stories.
A senior FBI cyber official warns Salt Typhoon remains an ongoing threat. Data protection authorities issue a joint statement raising serious concerns about AI image creation. A Japanese semiconductor equipment maker confirms a ransomware attack. New number formats seek to reduce AI overhead. A low-skilled Russian-speaking threat actor compromised more than 600 Fortinet FortiGate firewalls. Spanish authorities have arrested four alleged members of Anonymous. CISA tags a pair of Roundcube Webmail flaws. Cybersecurity stocks fell sharply on news of a new security feature in Claude AI. Monday business breakdown. Brandon Karpf, friend of the show discussing sovereignty in space and cyber. Digital disruption drains drumsticks. Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest Today Dave sits down with Brandon Karpf, friend of the show, and Maria Varmazis, host of T-Minus, as they are discussing sovereignty in space and cyber. Selected Reading FBI: Threats from Salt Typhoon are ‘still very much ongoing' (CyberScoop) Joint Statement on AI-Generated Imagery and the Protection of Privacy (International Enforcement Cooperation Working Group (IEWG)) Japanese chip-testing toolmaker Advantest suffers ransomware attack (Help Net Security) AI's Math Tricks Don't Work for Scientific Computing (IEEE) Russian Cyber Threat Actor Uses GenAI to Compromise Fortinet Firewalls (Infosecurity Magazine) Suspected Anonymous members cuffed in Spain over DDoS attack (The Register) CISA: Recently patched RoundCube flaws now exploited in attacks (Bleeping Computer) Anthropic Unveils 'Claude Code Security,' Sending Cyber Stocks Lower (Bloomberg) RSAC Innovation Sandbox finalists secure $5 million each. (N2K Pro Business Briefing) Cyber attack takes major chicken processor Hazeldenes offline leaving businesses without meat (ABC News) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show. Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices
The Information's Theo Wayt talks with TITV Host Akash Pasricha about Starlink's push to disrupt mass-market telecom giants with $50 plans and new retail stores. We also talk with Cloud Reporter Anissa Gardizy about the hurdles facing OpenAI's "Stargate" project as it shifts toward a more complex data center partnership with Oracle and SoftBank. We get into Nvidia's upcoming results with analyst Gil Luria, who explains why China is now a "rounding error" for the chipmaker. We wrap with Otter AI CEO Sam Liang on the company's 30-million-user milestone and its new "meeting context layer" for enterprises.Articles discussed on this episode: https://www.theinformation.com/articles/spacexs-starlink-makes-land-grab-amazon-threat-loomshttps://www.theinformation.com/articles/inside-openais-scramble-get-computing-power-stargate-stalledhttps://www.theinformation.com/newsletters/ai-infrastructure/openais-stargate-issues-teach-anthropicSubscribe: YouTube: https://www.youtube.com/@theinformation The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agendaTITV airs weekdays on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Follow us:X: https://x.com/theinformationIG: https://www.instagram.com/theinformation/TikTok: https://www.tiktok.com/@titv.theinformationLinkedIn: https://www.linkedin.com/company/theinformation/
Este boletim traz um resumo das principais notícias do dia na análise de Samuel Possebon, editor chefe da TELETIME.TELETIME é a publicação de referência para quem acompanha o mercado de telecomunicações, tecnologia e Internet no Brasil. Uma publicação independente dedicada ao debate aprofundado e criterioso das questões econômicas, regulatórias, tecnológicas, operacionais e estratégicas das empresas do setor. Se você ainda não acompanha a newsletter TELETIME, inscreva-se aqui (shorturl.at/juzF1) e fique ligado no dia a dia do mercado de telecom. É simples e é gratuito.Você ainda pode acompanhar TELETIME nas redes sociais:Linkedin: https://www.linkedin.com/company/teletimenews/Facebook: https://www.facebook.com/Teletime/ Ou entre em nosso canal no Telegram: https://t.me/teletimenews Hosted on Acast. See acast.com/privacy for more information.
As world leaders and tech executives congregate in New Delhi for the AI Impact Summit, we spoke to Metin Taskin, CEO of Airties, about the impact the technology is having on the telecom sector. He explained that AI allows for faster and more reliable coding, which was one of the industry's biggest bottlenecks. He also addressed other telecom sector trends, notably the high "customer churn" between operators as clients seek out better connectivity.
For episode 678 of the BlockHash Podcast, host Brandon Zemp is joined by Micky Watkins, Founder and CEO of World Mobile, a blockchain-enabled 5G network, has just crossed over 2 million users in its mission to connect everyone, everywhere, while returning control of data and connectivity to the people.Micky is a telecom entrepreneur challenging the monopoly of Big Wireless. He previously founded Yallo, one of the first internet-calling platforms, and over his career has raised millions from global backers including Deutsche Telekom and Carmel Ventures. Today, he leads World Mobile in building the world's first decentralized, community-owned mobile network, with a mission to connect everyone, everywhere, while returning control of data and value to the people.
Analysts Don Kellogg and Roger Entner share insights from the recent T-Mobile Capital Markets Day update event, covering changes in the retail store strategy, new AI translation features, and updated reporting metrics.00:00 Episode intro 00:24 T-Mobile Capital Markets Day event overview 01:39 Pursuing convergence through fiber and FWA 02:37 Live AI translation could be a game-changer 04:03 Telecom must transcend the “dumb pipe” 05:08 Latency is key going forward 06:01 How AI actually impacts user experience 08:20 Key reporting metrics are changing 10:28 Episode wrap-upTags: telecom, telecommunications, wireless, prepaid, postpaid, cellular phone, Don Kellogg, Roger Entner, AI, T-Mobile, retail, FWA, fiber, convergence, USI, translation, network, Verizon, AT&T, latency, Apple, Android, churn, Srini Gopalan
At ITEXPO / MSP EXPO, Jim Gurol, CEO of California Telecom, joined Doug Green to discuss NetVerge, a modern software platform designed to address a persistent challenge for MSPs: SaaS sprawl and operational inefficiency. NetVerge was born from Gurol's own experience running an MSP. Faced with juggling multiple ticketing systems, monitoring tools, and documentation platforms, his team found themselves “swivel chairing” between applications that didn't integrate cleanly. Rather than accept outdated workflows, they built their own platform from the ground up. “We wanted to build something from scratch, from the ground up, from our pain,” Gurol explained, emphasizing that NetVerge evolved directly from real-world MSP feedback. The platform consolidates core MSP functions into a modern, AI-enabled environment. Its ticketing interface resembles real-time chat, allowing technicians to collaborate through mentions and threaded conversations rather than traditional form-heavy systems. NetVerge also incorporates AI workflow agents that assist with troubleshooting, pen testing, and other operational tasks. MSPs can even design their own AI agents to automate repetitive processes—helping firms scale without proportionally increasing headcount. Gurol believes this practitioner-driven design is a key differentiator. “We live it,” he said, noting that firsthand MSP experience informs how the platform handles alert management, ticket flow, and day-to-day operational realities. For MSPs looking to reduce tool fragmentation, modernize workflows, and deploy AI in practical ways, NetVerge aims to offer a unified alternative. Visit https://californiatelecom.com/
At ITEXPO / MSP EXPO in Fort Lauderdale, Doug Green, Publisher of Technology Reseller News, spoke with Corey Moullas, Founder & CTO of EMAK Telecom, about a bold thesis: in the age of generative AI, voice will not be a side channel—it will be central to how businesses communicate and brand. EMAK Telecom, a VoIP and UCaaS provider founded a decade ago, built its own platform from the ground up with a focus on improving internal workflows and elevating the caller experience. Moullas emphasized that for EMAK, voice has always been about more than dial tone. “What can we do to make the caller experience amazing?” he said, describing a decade-long commitment to refining how customers interact with businesses through voice channels. Now, with the rise of generative AI and voice-to-voice agents, EMAK is integrating advanced AI capabilities directly into its telecom stack. While much of the industry conversation around AI centers on chat interfaces and automation dashboards, Moullas argues that the real transformation will occur in human conversation. “Voice is a very comfortable channel for a lot of people,” he noted. “Humans have a voice. We use it to communicate. It's not going away.” AI-powered voice agents, when implemented responsibly, can dramatically accelerate problem resolution, enrich brand presence, and create more natural customer interactions. Importantly, Moullas acknowledges the industry's legacy frustrations with earlier voice recognition systems. The difference today, he says, is the maturity of AI models capable of delivering empathetic, context-aware responses. “With the new technologies rolling out today, it's actually extraordinary,” he explained. At the same time, he stressed the responsibility that comes with such power. “We have to be very responsible about how we use these tools… they can be used for good or used for evil.” EMAK's internal philosophy—“do the right thing”—guides product decisions and long-term vision. As AI becomes embedded in enterprise communications, EMAK's strategy positions voice not as an afterthought but as the primary interface between humans and technology. In Moullas' view, when AI enables voice interactions that feel seamless and human, businesses will discover new ways to differentiate, connect, and deliver value. Visit https://emak.tech/
El Amor en los Tiempos de las Telecom, 2026
In this episode of Excess Returns, Kai Wu of Sparkline Capital returns to discuss his latest research on AI adoption, ROI, and what it all means for investors.Building on his prior work on the AI CapEx boom, Kai tackles the trillion dollar question at the center of today's market: Is AI generating real, measurable economic returns across the broader economy, or are we still in an infrastructure-driven bubble?Using a systematic analysis of earnings calls, patent data, and adoption trends, Kai lays out a framework for identifying which companies are truly benefiting from artificial intelligence and how investors can position portfolios accordingly.Find the Full Paper Here:https://etf.sparklinecapital.com/Main topics covered:Satya Nadella's AI bubble framework and why broad economic diffusion mattersThe AI adoption S-curve and where we are in the technology diffusion cycleA new AI ROI taxonomy based on earnings call analysis and quantified economic gainsReal-world AI productivity, revenue, and cost-saving examples across industriesInfrastructure vs early adopters vs laggards and how companies were categorizedAI-driven outperformance and excess returns across different adopter groupsValuation dispersion between AI infrastructure stocks and AI early adoptersThe risk of overcapacity and lessons from railroads and the dot-com telecom boomCompetition among large language models and the durability of AI moatsS&P 500 exposure to AI infrastructure and hidden concentration riskThe case for AI early adopters as a middle ground between growth and valueIntangible value investing and the concept of AI yieldTimestamps:00:00:00 The trillion dollar question and what “real ROI” means00:03:19 Nadella's bubble framework: diffusion vs a narrow CapEx trade00:06:08 The classic tech diffusion S-curve and where AI is on it00:32:25 Why infrastructure is being rewarded even if the ROI story is different00:33:04 The key chart: adoption vs valuation shows “basically no relationship”00:38:00 Why early adopters and laggards should separate00:38:26 The “25% ROI” example and how it could show up later in fundamentals00:39:03 Railroads and fiber: builders go bankrupt, users capture the value00:39:45 Telecom index fell 95% and never recovered (dot-com bust parallel)00:40:00 The application layer captures profits; infrastructure becomes a utility00:41:00 The punchline: transformative tech, but builders can still be bad investments00:42:57 Overcapacity question: where are we on the line?00:43:17 The buildout: another $5 trillion of data centers “or whatever the number is”00:44:00 If there's no ROI, companies cancel orders00:45:01 Moat and LLM competition discussion begins00:49:00 The big one: adding infrastructure names gets the S&P to 46% AI infrastructure00:50:00 “Alternative indices” swing you to laggard risk00:51:00 The “false choice” and the “middle ground” framing (early adopters)
Is it too late to buy the "Nvidia of Networking"?Lumentum (LITE) and Fabrinet (FN) have been on an absolute tear, with Lumentum up nearly 600% in the last year. Today, we break down why the AI data center build-out is shifting toward optical and silicon photonics—and which of these two companies is the better long-term play for your portfolio.In this video, we cover:-- The Supply Chain: How Lumentum (the IDM) and Fabrinet (the contract manufacturer) work together.-- Financial Deep Dive: Why Lumentum's operating margins are exploding (up 1,700 basis points!).-- Future Catalysts: The massive OCS (Optical Circuit Switch) orders coming in late 2026.-- Our Verdict: Why we are personally leaning toward one of these for our "starter positions".Join us on Discord with Semiconductor Insider, sign up on our website: www.chipstockinvestor.com/membershipSupercharge your analysis with AI! Get 15% of your membership with our special link here: https://fiscal.ai/csi/Sign Up For Our Newsletter: https://mailchi.mp/b1228c12f284/sign-up-landing-page-short-formChapters:00:00 — AI Networking: The Next 600% Run?01:38 — Why Lumentum is "The Nvidia of Networking"02:00 — Lumentum vs. Fabrinet: The Supply Chain Secret02:30 — The Hardware: Transceivers & Wafers explained03:10 — LITE Earnings: 1,700 Basis Point Margin Jump!04:00 — The Power of Operating Leverage05:10 — Huge 2026/2027 Catalysts (OCS & CPO)06:45 — Fabrinet Deep Dive: A Broader Play?08:45 — Telecom vs. Industrial Laser segments11:00 — Stock Performance Recap12:20 — Our Portfolio Strategy for 2026If you found this video useful, please make sure to like and subscribe!*********************************************************Affiliate links that are sprinkled in throughout this video. If something catches your eye and you decide to buy it, we might earn a little coffee money. Thanks for helping us (Kasey) fuel our caffeine addiction!Content in this video is for general information or entertainment only and is not specific or individual investment advice. Forecasts and information presented may not develop as predicted and there is no guarantee any strategies presented will be successful. All investing involves risk, and you could lose some or all of your principal. #Semiconductors #AI #Lumentum #Fabrinet #Investing #TechStocks #SiliconPhotonics #StockMarket2026 #chipstockinvestor Nick and Kasey own shares of Lumentum and Coherent
Ashley Sellers of Equifax sits down with Jordan Sullivan, Director of Retail Lending at CSL Financial, to explore how modern credit scoring is reshaping mortgage lending. As one of the first lenders to adopt VantageScore for underwriting, CSL shares real-world results, from higher approval rates and lower costs to stronger portfolio performance. The conversation dives into affordability, trended credit data, thin-file borrowers, and why delaying adoption of new credit models may be a competitive disadvantage for lenders navigating today's evolving credit ecosystem.Economist Justin Begley of Moody's Analytics provides our economic update.In this episode:Why did CSL Financial adopt VantageScore for underwriting?CSL Financial adopted VantageScore after internal testing showed it was a stronger predictor of credit risk than legacy models. The lender found it better aligned with borrower behavior and more effective for evaluating thin and non-traditional credit files.How does VantageScore help lenders approve more borrowers?VantageScore uses trended credit data to evaluate whether a borrower's financial behavior is improving or declining over time. This allows lenders to make more informed decisions than snapshot-based models, helping qualified borrowers who may have been overlooked receive approval.What results has CSL Financial seen using VantageScore?Since adopting VantageScore, CSL Financial has increased loan pull-through rates from approximately 8% to nearly 20%, while maintaining stable delinquency levels. The lender has also reduced credit-related costs and improved portfolio performance. Who benefits most from VantageScore-based underwriting?Borrowers with thin credit files, limited credit history, or past credit challenges benefit most. This includes younger borrowers building credit and older consumers who have paid off debt and have limited active tradelines.Why is delaying VantageScore adoption a competitive disadvantage?Lenders who delay adoption risk higher costs, lower approval rates, and less accurate risk pricing. Early adopters like CSL Financial report both operational savings and stronger credit outcomes, making modern scoring models a competitive advantage.
Après le rachat de la société d'intelligence artificielle xAI par SpaceX, Elon Musk affiche une ambition qui peut sembler futuriste mais qui est prise de plus en plus au sérieux: déployer des centres de données dédiés à l'IA directement en orbite autour de la Terre. Un projet aux promesses énergétiques et financières majeures, mais qui soulève aussi de nombreuses questions. Des centres de données ou « data-centers » à plusieurs milliers de kilomètres au-dessus de nos têtes, l'idée peut paraître sortie d'un film de science-fiction. Et pourtant, elle s'inscrit aujourd'hui dans des projets très concrets. Avec l'acquisition de xAI, SpaceX cherche à réunir sous une même bannière l'expertise en lancements spatiaux, en réseaux de satellites et en intelligence artificielle. Pour comprendre l'intérêt d'un tel projet, il faut d'abord revenir sur Terre. Les centres de données dédiés à l'intelligence artificielle existent déjà, et leur nombre ne cesse d'augmenter. Ces immenses installations consomment des quantités colossales d'électricité pour alimenter les processeurs, mais aussi d'eau pour refroidir les machines. Or la demande en puissance de calcul explose. Résultat: des centaines de nouveaux data centers devraient voir le jour dans les prochaines années. À lire aussiElon Musk intègre xAI dans SpaceX pour bâtir des centres de données spatiaux L'espace, une réponse aux contraintes énergétiques Pourquoi ne pas rester uniquement sur Terre ? Parce que l'espace offre plusieurs avantages majeurs. D'abord en matière de place, mais surtout en termes de consommation d'énergie. Les capteurs photovoltaïques spatiaux peuvent recevoir jusqu'à huit fois plus d'énergie solaire que leurs équivalents au sol, grâce à une exposition quasi permanente au soleil. Autre atout déterminant : le refroidissement. Dans l'espace, plus besoin d'eau. L'énergie solaire captée peut être utilisée pour alimenter des systèmes de refroidissement spécifiques, similaires à ceux déjà en fonctionnement sur la Station spatiale internationale. Sur le papier, ces centres de données orbitaux apparaissent ainsi comme une solution aux limites énergétiques rencontrées sur Terre. À lire aussiEn quoi les data centers sont-ils des gouffres écologiques? Un pari financier colossal… Et très risqué Derrière cette mécanique technologique se cache un enjeu primordial : l'argent. Pour les géants de l'intelligence artificielle, l'objectif est clair : faire des économies à long terme. Les montants en jeu sont colossaux, et encore difficiles à estimer tant le modèle reste flou. Une chose est en revanche certaine : les investissements dans les data centers terrestres se chiffrent déjà en centaines de milliards de dollars. Les projets spatiaux apparaissent à la fois comme une extension de cette dynamique, mais aussi comme un moyen d'entretenir l'enthousiasme des marchés et de continuer à attirer des capitaux vers l'IA. Car la question centrale reste celle de la rentabilité. Dans l'espace, l'idée est séduisante : pas de loyer, pas de facture d'électricité, seulement un lancement de fusée et un satellite équipé d'un centre de données. C'est précisément pour cela que SpaceX s'intéresse au sujet. L'entreprise d'Elon Musk dispose déjà des fusées, des satellites et des infrastructures nécessaires pour produire de la puissance de calcul à l'échelle mondiale. Mais les réserves sont nombreuses. Sur le plan technique, un satellite en panne ne peut pas être réparé comme un site terrestre, sans compter les risques de collision avec des débris spatiaux. Il faudrait par ailleurs déployer un nombre immense de satellites, impliquant autant de lancements et donc des coûts vertigineux. Enfin, la question environnementale reste entière, les lancements de fusées générant une pollution significative. Quoi qu'il en soit, ces centres de données spatiaux ne verront pas le jour demain. Selon plusieurs cabinets d'études, leur viabilité commerciale ne pourrait émerger, au mieux, qu'entre 2032 et 2035.
Este boletim traz um resumo das principais notícias do dia na análise de Samuel Possebon, editor chefe da TELETIME.TELETIME é a publicação de referência para quem acompanha o mercado de telecomunicações, tecnologia e Internet no Brasil. Uma publicação independente dedicada ao debate aprofundado e criterioso das questões econômicas, regulatórias, tecnológicas, operacionais e estratégicas das empresas do setor. Se você ainda não acompanha a newsletter TELETIME, inscreva-se aqui (shorturl.at/juzF1) e fique ligado no dia a dia do mercado de telecom. É simples e é gratuito.Você ainda pode acompanhar TELETIME nas redes sociais:Linkedin: https://www.linkedin.com/company/teletimenews/Facebook: https://www.facebook.com/Teletime/ Ou entre em nosso canal no Telegram: https://t.me/teletimenews Hosted on Acast. See acast.com/privacy for more information.
Dennis Thankachan, Co-Founder and CEO of Lightyear, joined Doug Green, Publisher of Technology Reseller News, to discuss how Lightyear is redefining enterprise telecom management through AI-native automation, data transparency, and end-to-end lifecycle control. Thankachan explained that Lightyear positions itself as a “telecom operating system” for the enterprise, automating the full lifecycle of telecom services—from procurement and installation to inventory management, expense tracking, renewals, and decommissioning. The platform integrates with enterprise systems via APIs and provides a single system of record for services, circuits, costs, and contracts. In 2025, Lightyear expanded this vision with the launch of its AI-native telecom expense management offering, designed to modernize a category long dominated by legacy, invoice-centric tools. Telecom billing, Thankachan noted, remains uniquely complex and error-prone, with multi-carrier invoices, usage-based charges, taxes, and frequent discrepancies obscuring true costs. Lightyear's AI-native approach goes beyond invoice digitization by categorizing charges, reconciling invoices against verified network inventory, auditing discrepancies, opening tickets, and enabling natural-language queries such as cost analysis by site or service. “We're not just answering questions,” Thankachan said. “We also take the action—buying circuits, managing installs, paying invoices, and handling tickets.” By combining AI tooling with first-principles software design and a large, continuously growing dataset spanning quotes, carrier performance, and billing history, Lightyear delivers both operational automation and actionable intelligence. Enterprises typically see meaningful ROI within the first year, with ongoing savings driven by reduced manual effort, improved visibility, and proactive cost control. The conversation also highlighted Lightyear's strong business momentum. Following record customer growth and product expansion, the company secured additional funding at a higher valuation, enabling increased investment in engineering, AI-driven R&D, customer support, and go-to-market efforts. According to Thankachan, this capital ensures that “everything we do for the enterprise will get better and stronger.” More information about Lightyear's platform and its AI-native telecom expense management capabilities is available at https://lightyear.ai/.
The "Growth at All Costs" era is over. Welcome to the era of Trust and AI Efficiency.In this episode of The Watson Weekly, Rick Watson sits down with Gareth Cummings, CEO of eDesk, to discuss the massive shift in how brands interact with their customers. From pioneering domain-specific language models in 2018 to navigating the rise of TikTok Shop and Agentic Commerce, Gareth shares a masterclass in staying ahead of the tech curve.Gareth Cummings is the CEO of eDesk, an AI-native customer support platform built specifically for e-commerce. With a background in banking and telecom, he brings a unique, data-driven perspective to online retail.In this interview, you'll learn:The Evolution of AI: Why customer skepticism has turned into an expectation for AI-driven support.Surviving the SaaS Slump: How e-commerce brands are pivoting toward profitability and value.TikTok & Authentic Engagement: Why new channels are essential for building brand trust in 2026.The Rise of AI Agents: What happens when AI starts making the purchases for us?Chapters / Timestaps0:00 - Introduction: Meet Gareth Cummings, CEO of eDesk2:15 - Career Evolution: From Banking and Telecom to E-commerce Tech5:40 - The Early Days of AI: Building Language Models in 20189:25 - The Shift in Consumer Mindset: From AI Skepticism to AI Expectation13:10 - Navigating the Modern SaaS Economy: Profitability vs. Growth17:35 - Building Brand Loyalty: Why Trust Outperforms Price21:50 - TikTok Shop and the Power of Authentic Engagement26:15 - Turning Support Data into a Business Strategy Engine30:40 - The Future of Agentic Commerce: When AI Does the Shopping35:20 - Leadership Advice: Embracing the Pace of AI Change38:45 - Closing Thoughts and Where to Follow GarethThe Watson Weekly is sponsored by Rithum. In commerce, timing is everything. That's where Rithum comes in. We help brands and retailers keep every channel connected, so when the moment comes, you're ready to act—launching faster, adapting quicker, and growing smarter. See how your business can grow at rithum.com. that's R-I-T-H-U-M.com#Ecommerce #AI #SaaS #CustomerSupport #TikTokShop #AgenticCommerce #TheWatsonWeekly #WatsonWeeklyThis podcast uses the following third-party services for analysis: Podtrac - https://analytics.podtrac.com/privacy-policy-gdrp
Het was de dag van ASML. De chipmachinebouwer breekt records met de kwartaalcijfers (en verrast). Analisten gingen uit van een orderinstroom van 7 miljard euro. ASML verplettert dat, met ruim 13 miljard euro aan nieuwe bestellingen. Ook komt er nog even een aandelen-inkoop-programma van 12 miljard euro. Het aandeel ging daarop als een raket. Stond zelfs even op een winst van 6 procent, maar stortte daarna in. En sloot met een flink verlies. Deze aflevering gaan we op onderzoek: waarom wordt het aandeel nu afgestraft? Wilden een aantal beleggers cashen of geloven ze toch niet in de beloftes van de directie?Verder hebben we het over LVMH. Dat deed het minder erg dan waarop was gerekend en kwam zelfs met een minieme groei aanzetten. Al is het voor de beleggers in de luxeketen niet genoeg. Ook zij dumpen het aandeel.Veel gesomber, maar er zijn ook grappige dingen te melden. Zoals een zeer grote en bijzondere beursgang die er in juni aan komt. Een die afgesteld is op de verjaardag van de topman en de stand van drie grote planeten. Geen grap.Ook praten we je bij over de kwartaalcijfers van KPN. Gaat het over Nvidia (en het gedonder in China). En we kijken wat het nieuwe kabinet voor de beurs in petto heeft.Te gast: Jordy Beuving, van De Aandeelhouder 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.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 BNR Zakendoen en 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. Van Musk tot Microsoft en van Ahold tot ASML. Wij vertellen je wat beleggers bezighoudt, wie de markten in beweging zet en wat dat betekent voor jouw beleggingsportefeuille.See omnystudio.com/listener for privacy information.
Заходят как-то Яндекс, Ядро, Булат и Джет в бар. В 155-м выпуске обсуждем SONiC — Open Source операционную систему для white-box коммутаторов. Кто: Александр Азимов. Сетевой архитектор Яндекс Павел Пазин. Руководитель отдела разработки SAI. YADRO Дмитрий Чигишев. Руководитель R&D, Булат Владимир Колпаков. инженер-проектировщик СПД, Инфосистемы Джет О чём: Кому нужен Open Source NOS Коммутатор как железо ODM/OEM - white-box аналогичны коммутаторам от вендоров по железу, осталось решить вопрос с софтом. Из чего состоит коммутатор, нюансы внутренней реализации, обычно скрытые от пользователей => сложно ли сделать свой коммутатор Софт не должен быть привязан к конкретному железу, а самая сложная и важная часть здесь - asic. Что поставить на это железо Выбор по железу есть, а по софту - особо нет. Требования к софту. Какие варианты есть - ONL, DentOS, FBOSS, Sonic (бесплатно), OcNOS (платно), своё (долго*дорого) Sonic занимает свою нишу. Плюсы. Почему стал развиваться - включились основные игроки. Контрибьюторы. Версии/релизы. Скачать/собрать, поставить. ONIE Внутреннее устройство Sonic Контейнеры Внутри сплошной Open Source Модули и userspace приложения Ядро Linux - как важная часть пайплайна (отличия от JunOS/EOS/IOS XR) Типичный Pipeline - разираем сверху вниз и упираемся в SAI SAI и OCP Как получилось добиться поддержки разных чипов Концепция. SAI - есть интерфейс, а есть конкретная реализация (libsai) Переходим к отличиям между ванильным соником и вендорским. Опыт использования Sonic Как запускали, кейсы, чем на практике отличается ванильный соник от вендорского Как добавить в Sonic новый коммутатор Автоматизация и управление Итоги - для обычного пользвателя Нужен ли Sonic обычному пользователю Нужно ли разбираться в его устройстве Sonic - хайп или что то больше Оставайтесь на связи Пишите нам: info@linkmeup.ru Канал в телеграме: t.me/linkmeup_podcast Канал на youtube: youtube.com/c/linkmeup-podcast Подкаст доступен в iTunes, Google Подкастах, Яндекс Музыке, Castbox Сообщество в вк: vk.com/linkmeup Группа в фб: www.facebook.com/linkmeup.sdsm Добавить RSS в подкаст-плеер. Пообщаться в общем чате в тг: https://t.me/linkmeup_chat Поддержите проект:
ServiceNow's Head of Product, Telecom and Media, Romit Ghose, details how AI agents are moving beyond automation to operate autonomously across telecom workflows through reasoning, collaborating, and delivering real business outcomes. With governance, standards, and human oversight built in, agentic AI is already transforming operations today. How ready is your organization for an agent-driven future?... Read More The post Agentic AI Agents: Telecom's New Operating System appeared first on Mplify.
In this episode of Lead-Lag Live, Melanie Schafer sits down with Michael Mo, CEO of KULR Technology Group (NYSE: KULR), to explore why energy reliability is emerging as the critical constraint behind AI, robotics, drones, telecom infrastructure, and next-generation data centers.Fresh off CES and following KULR's newly announced $30M telecom battery supply agreement, Mo explains how high-power, high-safety battery systems are becoming mission-critical as electrification accelerates. From NASA-proven thermal technologies to lithium-ion replacements for legacy lead-acid systems, KULR is positioning itself at the center of multiple multi-year secular growth trends.The conversation covers AI data center power resilience, UAV and drone electrification, telecom backup systems, and why battery safety, reliability, and domestic supply chains matter more than ever as power demand explodes.In this episode:– Why power—not chips—may be the next AI bottleneck– KULR's NASA-derived battery safety and thermal technologies– The Cooler One platform and growth across drones, robotics, and aviation– Replacing lead-acid batteries in telecom with lithium-based solutions– Energy-as-a-Service and reducing total cost of ownership– AI data center battery buffers and GPU-level power protection– Scaling execution with a debt-free balance sheet and strong cash positionLead-Lag Live brings you inside conversations with the leaders shaping markets at the intersection of technology, energy, and investing. Subscribe for insights that cut through the noise.#AIInfrastructure #EnergyStorage #BatteryTechnology #Drones #Telecom #DataCenters #Electrification #KULR #MarketOutlook #CleanEnergy #InvestingStart your adventure with TableTalk Friday: A D&D Podcast at the link below or wherever you get your podcasts!Youtube: https://youtube.com/playlist?list=PLgB6B-mAeWlPM9KzGJ2O4cU0-m5lO0lkr&si=W_-jLsiREjyAIgEsSpotify: https://open.spotify.com/show/75YJ921WGQqUtwxRT71UQB?si=4R6kaAYOTtO2V Support the show
Este boletim traz um resumo das principais notícias do dia na análise de Samuel Possebon, editor chefe da TELETIME.TELETIME é a publicação de referência para quem acompanha o mercado de telecomunicações, tecnologia e Internet no Brasil. Uma publicação independente dedicada ao debate aprofundado e criterioso das questões econômicas, regulatórias, tecnológicas, operacionais e estratégicas das empresas do setor. Se você ainda não acompanha a newsletter TELETIME, inscreva-se aqui (shorturl.at/juzF1) e fique ligado no dia a dia do mercado de telecom. É simples e é gratuito.Você ainda pode acompanhar TELETIME nas redes sociais:Linkedin: https://www.linkedin.com/company/teletimenews/Facebook: https://www.facebook.com/Teletime/ Ou entre em nosso canal no Telegram: https://t.me/teletimenews Hosted on Acast. See acast.com/privacy for more information.
Randy Dillard, Sales and Transaction Tax Lead at TaxConnex, joined Doug Green, Publisher of Technology Reseller News, for a Cloud Communications Alliance (CCA) podcast focused on one of the most complex—and often underestimated—issues facing cloud communications providers today: telecommunications tax compliance. Dillard explained that TaxConnex serves as a specialized outsourcing partner for telecom and transaction tax compliance, working closely with regulatory experts to deliver a unified approach that spans sales and use tax, telecom-specific taxes, and state and local filing obligations. Unlike general accounting firms, TaxConnex is purpose-built for the telecom and cloud communications industry, where tax requirements can extend far beyond state-level filings into counties, cities, and even ZIP-code-level jurisdictions. He emphasized that telecom taxation is fundamentally different from standard sales tax, with layered obligations that can include “tax on tax,” recurring billing changes, credits, and constant regulatory updates. With more than 50 states, thousands of local jurisdictions, and frequent filing deadlines, providers face significant risk if compliance processes are not handled accurately and consistently. Dillard also stressed the importance of timing, noting that providers should engage a telecom tax specialist before launching new services or expanding into new markets—not after revenue is already flowing. “It often makes sense to pause and speak with a telecom tax advisor before you open that honeypot,” Dillard said. “Understanding your obligations upfront can save you from costly penalties, audits, and surprises down the road.” TaxConnex's role, he explained, goes beyond filing returns. The company provides monthly tax liability reporting that shows what has been collected, where it is assigned, and how it will be remitted—giving providers visibility and confidence that nothing is slipping through the cracks. This becomes even more critical as AI-driven services and usage-based models create unexpected spikes in transactions and tax exposure. As an active member and sponsor within the Cloud Communications Alliance, TaxConnex views its role as helping demystify telecom tax compliance so providers can focus on growth, innovation, and customer success—while staying compliant in an increasingly complex regulatory environment. Learn more: https://www.taxconnex.com/
Bobby Deery sits down with Praveen Chandrahomhan, SVP of Origination Growth at Cotality, to explore how AI is reshaping mortgage lending. They discuss the rise of “micro AI” in origination, the balance between speed and empathy in the borrower journey, and why personalization and retention are becoming critical in a purchase-driven market. In this episode:How is AI changing mortgage lending?AI is improving customer service, underwriting, document processing, and workflow automation while keeping humans in the loop. AI helps lenders increase speed, accuracy, and empathy throughout the borrower journey.What mortgage challenges does AI help solve?The conversation highlights how AI reduces friction, improves clarity for borrowers, lowers operational costs, and supports more personalized experiences—especially in a highly regulated, purchase-driven market.Why are personalization and retention so important right now?With fewer refinance opportunities and evolving trigger legislation, lenders are prioritizing retention and relationship-based lending. AI-powered data and automation help lenders stay connected to borrowers across the full lifecycle of homeownership.
2025 was supposed to be a year of stability for telecom. Instead, it exposed where the industry's assumptions no longer held.In this opening episode of The Great Indoors, now in its 11th season, Matthew Roberts is joined by Craig Moffett who is a co-founder and senior analyst at MoffettNathanson. Craig brings decades of experience tracking broadband, cable, and satellite and has a reputation for clear-eyed analysis that cuts through consensus thinking. They discussed what last year revealed, and what 2026 will demand. Together, they explore why cable may be far better positioned than market sentiment suggests, how competitive pressure continues to weigh on traditional wireless players, and why pricing power proved harder to sustain than many expected. The conversation spans the year's biggest surprises, from EchoStar's spectrum-driven turnaround to the growing, but still limited, role of satellite connectivity. If 2025 tested the narrative, 2026 will test execution.
Stephen Grootes speaks to Chris Yelland, Energy Expert and Journalist about whether Eskom’s legal challenge to NERSA over licenses granted to five private power producers has been stayed or paused. They also touch on Eskom’s Generation Recovery Plan, which has added 4,400 MW of capacity, and whether this boost makes electricity supply sustainable The Money Show is a podcast hosted by well-known journalist and radio presenter, Stephen Grootes. He explores the latest economic trends, business developments, investment opportunities, and personal finance strategies. Each episode features engaging conversations with top newsmakers, industry experts, financial advisors, entrepreneurs, and politicians, offering you thought-provoking insights to navigate the ever-changing financial landscape. Thank you for listening to a podcast from The Money Show Listen live Primedia+ weekdays from 18:00 and 20:00 (SA Time) to The Money Show with Stephen Grootes broadcast on 702 https://buff.ly/gk3y0Kj and CapeTalk https://buff.ly/NnFM3Nk For more from the show, go to https://buff.ly/7QpH0jY or find all the catch-up podcasts here https://buff.ly/PlhvUVe Subscribe to The Money Show Daily Newsletter and the Weekly Business Wrap here https://buff.ly/v5mfetc The Money Show is brought to you by Absa Follow us on social media 702 on Facebook: https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/CapeTalk 702 on YouTube: https://www.youtube.com/@radio702 CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/Radio702 CapeTalk on YouTube: https://www.youtube.com/@CapeTalk567 See omnystudio.com/listener for privacy information.
How did Globe Telecom become the biggest telco in the Philippines? In this episode, Ronster chats with Ernest Cu, President and CEO of Globe Telecom. Ernest will share his roots and the skills he learned while helping in their family business. He'll also share what it was like studying in the states for and his first few jobs working primarily in tech. Ernest will also share his first attempt at entrepreneurship and why he came back to the Philippines to revolutionize the BPO Industry. He will also do a deep dive on how he was able to lead Globe to the digital era and the type of leadership and management skills he uses that can be used by any entrepreneur in. Hosted on Acast. See acast.com/privacy for more information.
SummaryIn this episode of the ATX DAO Podcast, we sit down with Jamie King, CMO of Minutes Network and co-founder of Rockstar Games, to explore what it actually takes to build real-world infrastructure in Web3. Jamie shares his journey from shaping one of the most influential gaming companies of all time to helping reimagine global telecom through decentralized networks. The conversation covers founder mindset, lessons from scaling creative companies, and why meaningful innovation requires discomfort, discipline, and long-term thinking.We then dive into Minutes Network's approach to modernizing telecom, including how its infrastructure supports people-powered networks, real-time verification, and new economic models that bridge Web2 revenue with Web3 participation. Jamie breaks down how Unity fits into the broader Minutes Network ecosystem, why telecom fraud and inefficiency are massive global problems, and what it means to build decentralized systems that actually work at scale. This episode is a deep look at Web3 beyond speculation—focused on utility, execution, and onboarding the next generation of users through real infrastructure.Connect with Jamie & Minutes Network :X (Twitter):https://x.com/jk4millihttps://x.com/MNTokenWebsite:https://minutesnetworktoken.io/Check out our friends at Tequila 512:Website: https://www.tequila512.comSocials: X (Twitter) | Instagram | TikTok | FacebookTo learn more about ATX DAO:Check out the ATX DAO websiteFollow @ATXDAO on X (Twitter)Subscribe to our newsletterConnect with us on LinkedInJoin the community in the ATX DAO DiscordConnect with the ATX DAO Podcast team on X (Twitter):Ash: @ashinthewildLuke: @Luke152Tom: @Tommyg_25Support the Podcast:If you enjoyed this episode, please leave us a review and share it with your network.Subscribe for more insights, interviews, and deep dives into the world of Web 3.
The private equity marketplace is increasingly competitive, making it difficult to win a seat at the table on hot deals. AT&T's in-house private investment arm, AT&T Ventures, seeks to stand out by making strategic investments via a founder-friendly approach, targeting the companies that are helping to shape the future of communications, such as satellite providers, edge computing firms, AI-RAN developers, security companies and many more. AT&T Ventures Head Vikram Taneja joins Bloomberg Intelligence's senior telecom analyst, John Butler, to discuss the company's approach to investing, his thoughts on where communications technologies are headed and how his group aims to capitalize on current and future trends.
As the increased use of artificial intelligence necessitates connectivity, it will continue to become inextricably linked to the digital network landscape. When people talk about artificial intelligence, they usually focus on algorithms, chips, or data centers. But there's a less visible piece that determines whether any of it works in the real world: digital networks. AI doesn't live in one place. It moves. It learns. It responds in real time. And all of that depends on the networks that carry data among devices, clouds, and people. In many ways, telecommunications and cable operators are the digital networks that make up the transportation system of the AI economy—the highways, railroads, and air traffic control that make intelligence usable at scale for businesses and consumers.In this episode, Shane interviews Roger Entner, one of the most respected analysts in telecommunications and digital infrastructure. Roger is the founder of Recon Analytics. He advises companies on strategy and public policy in telecommunications, technology, AI, and media. Previously, he served as senior vice president and head of telecom research at the Nielsen Company. He's spent decades studying how networks evolve, how policy shapes investment, and why connectivity is central to innovation. Compute may create intelligence, but networks deliver it, from mobile and broadband to the next wave of AI-driven services. His decades of experience in the telecommunications industry give him the depth of expertise to discuss the future of artificial intelligence in this space.
Few brands define connection quite like AT&T—not just through technology, but through trust. And trust is not a word historically associated with telecom companies.Jim's guest this week is at the center of AT&T's transformation: Kellyn Smith Kenny, the company's first-ever Chief Marketing & Growth Officer. Since 2020, Kellyn has helped usher in what she calls the “Accountability Era,” part of an ambitious, multi-year reinvention backed by more than $145 billion invested in reliability, transparency, and customer trust.With revenues topping $120 billion and a customer base of more than 100 million consumers, AT&T is a brand that touches nearly every American life. Under Kellyn's leadership, the company has become known for both its marketing excellence and its humanity—from launching the AT&T Guarantee, to pioneering a pragmatic approach to AI, to building meaningful partnerships with the likes of Formula 1 and Hello Sunshine.Tune in as Jim explores Kellyn's unique leadership journey—from Division I athlete to C-suite change agent—and how she's redefining what it means to lead a modern brand.---Learn more, request a free pass, and register at https://www.iab.com/events/annual-leadership-meeting-2026/?utm_source=ad&utm_medium=The+CMO+Podcast) Promo Code for $500 off ticket prices: ALMCMOPOD26---This week's episode is brought to you by Deloitte, TransUnion and the IAB.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.