LinkedIn thought leader ad examples

I ran across a story this week about a company that looks at a retired wind turbine and sees a supply chain. Paladin EnviroTech is taking apart aging turbines at an Iowa wind farm to recover the rare earth magnets inside the generators. Some newer models hold nearly a ton of them, which the company values at close to $100,000 per turbine. For years, recyclers went after the copper and let the rest go. The rare earths ended up in steel scrap and were lost for good. I enjoy discoveries like this because the opportunity sat in front of everyone for so long, and it took someone willing to wrestle 100,000-pound components onto flatbeds in a muddy field to go get it. That is not glamorous work, but it is exactly how supply chains get built. It connects to our industry, too. The same magnets sit inside hard drives, MRI machines, and EV motors, and Paladin expects those products to make up a good share of its supply. We talk a lot about securing critical materials from new sources, and some of that supply is already in the products we use, and it comes back sooner when we build the collection and processing to match. For anyone working in recovery or supply chain, what would it take to make this work at scale for electronics? https://lnkd.in/eKgshQDf

A battery you can swallow that powers electronics inside your body for three days and then dissolves. MIT researchers just showed that this is not science fiction. It is early stage, and the path to human use involves years of biocompatibility testing. But the materials behind it, cellulose, magnesium, beeswax, are worth paying attention to. Ingestible electronics have always hit the same wall: the power source. A biodegradable battery tunable to the application is a meaningful step past that wall. This is the third time in recent months I have come across bio-based materials doing things we assumed required conventional electronics. Fungi for PCBs. Edible batteries. I am not sure what to call the pattern yet, but I am paying attention to it. https://lnkd.in/eC3jUf6A

my take is that all of the voice demo's we can get on the web doesn't prove it works i called a voice AI demo a few weeks ago from another company and it was really good, natural and it handled my use-case pretty well! (+ understood my terrible french accent) the thing is, a demo only proves the voice works. it doesn't prove the agent can actually do anything (ours included sorry Guillaume Luccisano) & on monday i heard a real call that we handled for a customer for a lost order, where we had to update the shipping address + reship the order in the backend, while the person was on the line. Holy cow it worked amazingly well! This is a true demonstration of what we can do on Voice, and the good news is that it's basically one-click away for our merchants. Link if you didn't read my message above: yuma.ai/voice-demo but if you want to see a real demo, on your customers, ping me :)

Back in December 2022, Yuma was the first company to put AI agents in production for ecommerce customer support. Almost 4 years later, we have had a pretty great run pushing that idea to its limits. But after 4 years building on top of a technology evolving this fast, something had to change... We call that change Yuma 2.0. One AI agent. One set of rules. Every customer. Every channel. Inbound and outbound. That is really the idea: a single, unified platform to run your entire CX operation. When we started Yuma, the challenge was getting an AI to reliably solve a customer support ticket. We had to do all kinds of gymnastics to get the models to behave, stay within the right boundaries and reliably take actions. Today, models are dramatically more capable. It has also never been easier to spin up a basic AI support agent. Give someone Claude or ChatGPT and they can probably get a convincing demo running in a few days. But a demo is one thing. Building something a company can trust to run at scale is another. More importantly, our customers are asking us for much more now. As I keep telling the team, bringing the most value to our customers is paramount. Today, CX teams are still spread across too many tools. One for support. One for voice. One for social. Another for outbound marketing. Different rules. Different context. Different levels of trust. I think that era is over. Our customers increasingly want to consolidate their customer experience around a single core system they can trust. So after almost 4 years of building Yuma, it was time to make another big leap. Part technological leap, part leap of faith, part founder instinct ;) Because I still deeply believe we are only seeing the very early glimpse of what AI will let us achieve. So with Yuma 2.0: • A single, unified set of rules ✅ • Inbound support across email, chat, social, reviews and voice ✅ • Outbound campaigns, from proactive service notifications to marketing and re-engagement ✅ • A deep understanding of every customer across every interaction ✅ • Public social engagement across Facebook and Instagram ✅ • Pre-sales conversations that help customers buy and increase conversion ✅ All powered by the same underlying AI agent. And that last detail matters: • Not a voice product bolted onto support. • Not a separate agent doing outreach. • Not 5 systems trying to understand the same customer. 👉 One agent, operating across the entire customer experience. We have baked almost 4 years of work, mistakes, customer feedback and learnings into this new version of Yuma. It is more powerful, more accurate, and lets our customers do things that simply were not possible when we started. I think this is where CX is going. And just like we did back in 2022, we want to be early in showing what that future can look like. That is Yuma 2.0. Come talk to us and see the mind-blowing things you can build today. Cheers to the next 4 years 🥂

Het moment waarop iedereen het eens is dát er een probleem is, is meestal niet het begin van een verandertraject. Het moment waarop iedereen hetzelfde probleem ziet, vaak wel. Vrijwel iedereen kan benoemen dat het commerciële proces ergens stroef loopt. Maar zodra je vraagt waar het precies misgaat, wie daar eigenaar van is en waarom dezelfde vertraging, frustratie of onvoorspelbaarheid steeds opnieuw ontstaat, wordt het vaak een stuk minder duidelijk. Je ziet daarin meestal twee soorten organisaties. Bij organisaties die echt klaar zijn om iets te veranderen, is het probleem al behoorlijk concreet gemaakt. Ze hebben het proces bekeken, weten waar tijd verloren gaat, waar informatie blijft hangen en hebben intern al besproken wat er anders moet. Bij andere organisaties is het bewustzijn er ook, maar kijkt iedere afdeling vanuit zijn eigen stukje naar het proces. Iedereen ziet dat het beter kan, maar niemand heeft het volledige beeld van waarom het gaat zoals het gaat. Een vraag die ik daarom vaak stel, is waar de behoefte aan verandering eigenlijk vandaan komt, omdat het antwoord vaak iets zegt over hoe scherp de organisatie het probleem al begrijpt. En dan wordt technologie al snel aantrekkelijk. Een nieuwe tool of een nieuw ingericht proces lijkt een logische volgende stap. Maar als je nog niet scherp hebt waar en waarom het commerciële proces vandaag vastloopt, loop je het risico dat je vooral hetzelfde probleem in een nieuw systeem stopt. Daarom vind ik deze vraag vaak interessanter dan een hele lijst requirements: Weten jullie alleen dát er een probleem is, of ook waar het werkelijk ontstaat?

Hierfür verlangen andere 20k. All unser Know-How gebündelt. Den neuen "Thought Leader Guide" geben Paula und ich aktuell kostenlos raus. In diesem Guide teilen wir unser Playbook aus 1.000+ Kampagnen, um Autorität der Branche und erste Wahl der Zielgruppe zu werden: Sichtbarkeit durch exzellenten Content & präzises Ads-Targeting. Stille Mitleser in kaufbereite Leads verwandeln durch Retargeting, warme DMs, Whitepaper und Webinare. Exakte Anleitung, KI-Hilfe und erprobte Vorlagen im Guide. Falls du den Thought Leader Guide noch nicht hast, hier zusenden lassen: https://lnkd.in/dUvbQCaT Lohnt sich. 👍

$10,3 Mio. Umsatz im Monat. Mit 17 Mitarbeitern. Das sind die Zahlen eines US Founders, den ich auf einer Mastermind am Comer See getroffen habe. Sein Setup ist absurd effizient Der gesamte Customer Support wird von einer Person gemacht. Die AI beantwortet Tickets, E-Mails, Trustpilot-Bewertungen und Kommentare unter den Ads. Der Mitarbeiter überwacht das System. Creatives? Entstehen zu 100 % mit KI. Und genau das erlebe ich gerade bei vielen der besten US-Brands: Sie planen weiterhin massives Wachstum. Aber der Headcount wächst nicht mehr automatisch mit. AI ist dort kein kleines Effizienzprojekt. AI bestimmt, wie die gesamte Firma aufgebaut wird. Für mich extrem inspirierend und eine Entwicklung, die eine völlig neue Art von Brands produzieren wird. Wie denkt ihr darüber?

Warum gehen manche Posts hier nach 3 Tagen plötzlich durch die Decke, während andere nie abheben? Niemand kennt den Algorithmus im Detail. Aber nach über 1.000 Kampagnen mit hunderten Kunden können wir ihn ziemlich sauber reverse-engineeren. Und das machen wir kontinuierlich: testen, vergleichen, auswerten. Dabei landen am Ende immer wieder bei denselben 4 Faktoren, die über Erfolg oder Niederlage eines Posts entscheiden: (Link zum Guide unten, womit du diese Faktoren für euch korrekt einstellst 👇) 1 ➔ Engagement: Reaktionen und Kommentare. Der Klick auf "mehr anzeigen" zählt übrigens schon als erstes Signal. 2 ➔ Dwell Time: Wie lange bleiben Leute an eurem Post hängen? Lange Verweildauer liest der Algorithmus als "relevant". 3 ➔ Relevance Score: Existiert zwischen euch und jeder einzelnen Person auf der Plattform. Stärkster Hebel dafür: Nicht die Kommentare oder nicht Profilbesuche, sondern ausgetauschte Direktnachrichten. 4 ➔ Posting Format: Single Image plus Text ist unspektakulär, funktioniert aber immer noch am besten. Die Golden Hour, zu der man posten sollte, gibt es so immer weniger. Der Algorithmus testet euren Post an einem kleinen Subset, schaut auf die Signale und spielt dann weiter aus. Das zieht sich heute über Tage. Deshalb dieses Phänomen, dass ein Post nach vier Tagen nochmal Fahrt aufnehmen kann. Am stärksten beeinflussen könnt ihr das Engagement. Dafür muss ein Post erst den Scroll stoppen und dann etwas auslösen. Der Scrollstopper ist dabei vor allem das Bild: Selfie vom Event, Foto der Maschine aus der Fertigung, Screenshot vom eigenen Bildschirm. Je natürlicher und unpolierter, desto besser. Mein Tipp: Im neuen "Thought Leader Guide" teilen wir unser Playbook aus 1.000+ Kampagnen, um Autorität der Branche und erste Wahl der Zielgruppe zu werden: Sichtbarkeit durch exzellenten Content & präzises Ads-Targeting. Stille Mitleser in kaufbereite Leads verwandeln durch Retargeting, warme DMs, Whitepaper und Webinare. Exakte Anleitung, KI-Hilfe und erprobte Vorlagen im Guide. Falls du den Thought Leader Guide noch nicht hast, hier zusenden lassen: https://lnkd.in/dUvbQCaT Lohnt sich. 👍

In all my years running brands from the inside, I have never seen brand leaders carry this much at once. They are asked to make the brand cheaper to run with AI, and they answer for whatever AI says about it. They are expected to sound sure for a team that isn't. And there are two ways to fail: fall behind, or sign off on the wrong thing. Underneath it all sits a question: if agents do more of the work, what exactly am I here to decide? More than it seems. For thirty years we have been the operators of the machine — hand-holding the digital surfaces to unlock their capability. Now the machine understands our intent, and it operates for us. Your customers' agents are starting to compare, shortlist and choose for them. The tools behind that will change every quarter. What must remain true about your brand when an agent acts in its name should not. You will work that out with IT, legal and your agencies, but you can't hand it over: accountability does not delegate to a machine. And if nobody decides, silence does not produce absence. It produces improvisation. Many brand leaders have asked me for time to think this through together. So Flavia Barbat of Brandingmag and I are starting with a paid briefing, small on purpose so everyone in it takes part. 🖥️ Agentic Branding: A Live Briefing 🗓️ Thursday 12 November, 14:00–16:00 CET, live online For CMOs, CBOs and leaders of brand and communications; agency and consultancy leaders welcome. 20 seats, $875 each, by request until Tuesday 10 November. You leave with your own answer, a short list of what to act on now and what can wait, and a discovery guide your team runs without you. Request a seat: 🔗 https://lnkd.in/eeXy4PSR #AgenticBranding #CMO #BrandLeadership #AIagents

Ecstatic to announce our partnership with Kulani Kinis x Attentive 🌺 Kulani Kinis is such a vibrant, distinctive brand, with a real talent for bringing a little sunshine to every collection. Bringing Attentive into the customer journey has helped turn more site visitors into subscribers and more conversations into revenue. A few highlights from their first month with us : • 4.4x increase in sign up rates • 12x revenue growth • A stronger foundation for global expansion, with personalised messaging to convert, engage and retain customers across markets Super thankful for the partnership and trust from Jemma Sears, Alyssa Shea & Will North 🤝 Taylor Hunt, Erick Jackaman and many more for helping to bring this all to life and driving such a strong result. Excited to officially partner and keep building on the momentum together into BFCM & 2027☀️ #Attentive #KulaniKinis #Partnership #SMSMarketing #ecommerce #digitalmarketing

What if the reason LLMs go searching on third-party platforms for more about your brand is that your brand isn't giving them enough information? I often pose this question to brand leaders when discussing agentic branding—not because external validation isn't important, but because too much focus on it causes decision-makers to fall prey to the latest tools and miss the long-term opportunities. AI agents are shifting from merely surfacing and recommending your brand to personifying it, speaking for it, and ultimately, rendering it in real time on surfaces we can't even imagine. That means a brand leader's job isn't only to decide how their teams will use AI tools; it's also to make sure AI tools can use their brands. And that starts with what you can control. Look at your brand's own editorial properties, for example: → Your publications and insights hubs → Articles by your company's own experts → Reports and research you publish → Podcasts and video series you've transcribed → Educational, experience-driven case studies All of these contribute to your brand's knowledge graph, the part of the agent-mediated equation you can directly control. That includes the additional expertise—conference talks, sales conversations, internal training, engineering notes—you have yet to package and surface somewhere an agent can find. I'm not talking solely about accurate product and service information; I'm talking about how your brand's unique value and meaning are codified into an editorial standard that LLMs (be they internal or external) can leverage when communicating on behalf of your brand. Nothing will give you more clarity on where you stand than reading your own published expertise side by side, the way an agent would. You'll see where your brand contradicts itself, where it goes quiet on a strategic topic, and where it could be more specific about your experts' approach. Only then can you begin to revise your brand's digital footprint and use those revisions to architect an editorial standard for everything your brand writes moving forward. This digital revolution finally feels like one that forces us to look inward, clean house, and let the best version of our brands emerge. To help brand leaders take quick yet sustainable action, Thomas Marzano and I have condensed what we've studied, discussed, and applied with our respective clients into a two-hour executive briefing for senior marketing, brand, and communications leaders. Live online on Thursday, November 12, 8:00–10:00 a.m. EST (2:00–4:00 p.m. CET, 5:00–7:00 p.m. Dubai time). There are only 20 seats, priced at $875 each, and requests close Tuesday, November 10. You'll leave knowing what to act on now, what can safely wait, and how your team can continue the discovery independently. To request a seat, visit Brandingmag's event page here: https://lnkd.in/d27dvMsf ————————— {· Organic, human-generated content

Partenaire santé de la CCN 66 depuis 2015, AÉSIO mutuelle est également recommandée en Prévoyance à compter du 1er janvier 2027 ! Cette évolution est l'occasion pour les établissements et groupes de la branche de prendre du recul sur leurs dispositifs de Protection sociale : - Vos régimes sont-ils toujours adaptés à vos enjeux ? - Votre organisation bénéficie-t-elle du niveau daccompagnement attendu ? - Comment simplifier le pilotage de vos dispositifs santé et prévoyance ? À l'approche de 2027, c'est peut-être le bon moment pour faire le point sur vos dispositifs et sur l'accompagnement dont vous bénéficiez au quotidien. Une question ou un besoin d'accompagnement ? Contactez moi en MP ou directement par téléphone 👇 06 42 88 37 18 #CCN66 #ProtectionSociale #Prévoyance #FraisDeSanté #ESS #MédicoSocial

Today we launch Agentic Agileday - From 100 clicks to one prompt. 🔥 🚀 This is a big milestone for us. When we started Agileday, we knew that one day the platform would do the routine work, not just record it. That day is here. You can give the Agileday Agent an RFP, and it suggests a team, shows the impact on margin and writes tailored CVs. ➡️ Read the full story here: https://lnkd.in/dRxDrqUK 👏 My favourite feedback from a pilot customer came after their first try: “Damn, this works.” I really believe we are onto something, and that our customers will feel the value. This is a big milestone, but only the halfway point. Next, you can let the Agent run work for you with Automations. 💜 This was a true team effort. Sometimes it felt like chaos, but it showed how well we work together. Thank you, team! #AgenticAI #AgenticPSA #ProfessionalServices

LinkedIn is our #1 GTM channel. - 160K followers across the team - 2M+ impressions a month - 80+ inbound meetings/mo - 10+ outbound leads/mo from every signal it creates Here’s how we enabled the Workflows.io team to start posting more (and how you can do it too): 1️⃣ Lead by Example Since launching Workflows.io, Dan and I haven’t missed a single week of posting at least 3x times. The biggest part of leadership is that you lead by example with your own daily actions. 2️⃣ Design Support A great designer is one of the best investments you can make. Claude design and AI tools don’t come ANYWHERE close to what a human can create (like the GIF below) But creating design briefs is a skill and it’s where we spend time strategizing with people. 2️⃣ Content Challenge Every quarter, we run an internal LinkedIn competition with 4-figure prizes for the top 3 winners. They're ranked on this weighted score: Final Score = (Posts × 100) + (Impressions ÷ 10) + (Follower growth × 3) + (Reactions × 3) + (Comments × 3) So our team gets paid to build their own personal brand. But to post something worth reading, you have to learn something worth sharing. Everyone goes deeper on the work itself. And they get better at their job while building the company and their personal brand at the same time. 4️⃣ Self-motivation Even though we have the prizes of the challenge is a good motivation, I’m proud to say we hired self-motivated people… and they get it. The opportunities you can get with a personal brand are endless: - Podcast invites - Networking with seasoned leaders - Paid consulting sessions - Thank you messages from people trying to build something similar - Thank you messages for inspiring people earlier in their career - and more.. 5️⃣ Content OS Everyone uses Claude Code: - Context: Notion SOPs, Ergo call transcripts, our Company OS in GitHub - Research: a Pinecone database of 5,700+ top-performing posts - Skills: strategist, researcher, drafter, grader, analyst But Claude never writes the post. It hands over ideas, research, hooks and design briefs. Everyone still writes it in their own words. --- Content is the BEST way to stand out in the attention economy. Many personal brands = company brand. If you manage to get your entire team to start posting on LinkedIn … It can be worth millions. --- See how Seam AI turned LinkedIn content into $1M in pipeline in a month: https://lnkd.in/dpyNNGDi We're a content agency for B2B tech founders and execs. We'll show you how good we are with 2 free sample posts, 100% written by humans, plus a strategy doc breaking down your niche. 👉 https://lnkd.in/dntFtEV5

What if you spot the warning signs 183 days too late? According to IBM, that's the average time it takes organizations to identify a data breach. But what if we could detect them much earlier? Connected IoT devices generate valuable data every day. Combined with AI, this data can help us spot anomalies, identify potential problems and take action before they turn into costly incidents. On November 4th, I’ll be speaking at Digital Tech Summit 2026 about how AI and IoT can help us anticipate problems and turn early warning signs into real opportunities. When: Wednesday, November 4 | 12:00–12:30 Where: Digital Tech Summit, Øksnehallen, Copenhagen If early detection matters to your business, I hope to see you there! Read more about the session and register below. #DigitalTechSummit #IoT #Connectivity #PredictiveAnalytics #EarlyDetection

Manchmal entstehen die besten Geschäftsideen aus einem Problem, das eigentlich längst gelöst sein sollte. 💭 Als wir 2014 die Facharzt-Sofort GmbH gründeten, war unsere Motivation ziemlich einfach: Warum muss es eigentlich so kompliziert sein, einen Arzttermin zu vereinbaren? Lange Warteschleifen, schlechte Erreichbarkeit und überlastete Praxisteams waren schon damals ein Thema. Und vieles davon beschäftigt uns heute noch... Was als Idee für eine einfachere Terminvereinbarung begann, hat sich über die Jahre zu einer umfassenden digitalen Praxisplattform entwickelt: Heute geht es bei TerMed Arzttermine Online um weit mehr als nur Online-Termine. Mit digitaler Rezeption, intelligentem Anfragenmanagement, Telefon-KI und der Anbindung an bestehende Praxissoftware möchten wir genau dort ansetzen, wo im Praxisalltag unnötig Zeit verloren geht. Denn eines hat sich für mich seit der Gründung nicht verändert: Technologie ist nur dann sinnvoll, wenn sie den Menschen dahinter wirklich hilft. Umso mehr freut es mich, dass Digital Meets Health I DMH unsere Geschichte und unseren Ansatz in einem aktuellen Beitrag aufgegriffen hat. Vielen Dank für den spannenden Einblick in unsere Arbeit! 🔗Der Link zum Artikel ist in den Kommentaren

"INVESTÉR I DINE MEDARBEJDERES UDVIKLING Kompetenceudvikling handler ikke kun om faglig viden. Det handler også om at give medarbejdere de bedste forudsætninger for at lykkes i en digital hverdag. Med et kursus hos os bliver dine medarbejdere mere selvstændige og bedre rustet til de krav, der møder dem i arbejdslivet. Det styrker både den enkelte medarbejder og arbejdspladsen som helhed. Og så er det helt gratis! 📈 Øget trivsel 💼 Stærkere kompetencer 🤝 Bedre muligheder for fastholdelse 📞 Kontakt os for en uforpligtende dialog om ordblindeundervisning i jeres virksomhed: 70 20 23 77."

Ce jour-là, la directrice générale pose une autre question. « Qu'est-ce que l'IA a changé dans ton équipe depuis un an ? » « On a Copilot pour tout le monde. Ça marche bien, les gens l'utilisent. » « D'accord. Et qu'est-ce qui a disparu ? »

"Everything in the pharma sector is driven by regulations." That’s how a former Capex finance lead summed up pharma when we talked at the Why summit Capex Conference in Boston in middle of October. That raises questions most Capex processes struggle to answer: → How do you compare a compliance project with a capacity project that has a strong NPV? → When regulatory work jumps the queue, which growth investments move back, and who sees the knock-on effect? → Does the business case show the cost of waiting, as well as the price of the project? AI was the other topic everyone wanted to discuss. The most practical uses we heard start with data companies already have: turning demand forecasts into capacity needs, and learning from past projects, so a step that always took twice as long is planned that way next time. The Capex questions here are just as concrete: → Is our project history clean enough for AI to learn from? → Who checks an AI-supported recommendation before capital is committed? Regulation decides what must be done. AI can help decide what comes next. Both need one connected view of the Capex portfolio. Curious how ready your process is for both? Our Capex Maturity Assessment takes about three minutes: https://lnkd.in/dXg5MSHf

Empregado do PagBank pode ser reconhecido como bancário? Decisão do TRT reforça direitos trabalhistas Uma decisão do Tribunal Regional do Trabalho da 2ª Região reacendeu uma discussão cada vez mais frequente no Direito do Trabalho: empregados do PagBank e do PagSeguro podem ter o reconhecimento da condição de bancários? No caso analisado, o Tribunal concluiu que o trabalhador exercia atividades tipicamente bancárias e determinou seu enquadramento como bancário durante todo o contrato de trabalho, garantindo direitos previstos nas normas coletivas da categoria. A decisão observou que o empregado atuava com abertura e validação de contas, gestão de contas digitais, oferta de produtos financeiros, investimentos, CDB, antecipação de recebíveis e outros serviços disponibilizados pelo PagBank aos clientes. Para o TRT, a realidade das atividades desempenhadas deve prevalecer sobre o nome do cargo ou o enquadramento adotado pela empresa. O acórdão também destacou que a classificação da empresa como instituição de pagamento perante o Banco Central não impede o reconhecimento de direitos trabalhistas quando o empregado exerce, na prática, funções inerentes à atividade bancária. A regulamentação do sistema financeiro possui finalidade distinta das normas que protegem as relações de trabalho. Com o enquadramento como bancário, o trabalhador passou a ter direito ao pagamento das horas extras além da 6ª diária e da 30ª semanal, com reflexos em férias, 13º salário, FGTS, aviso-prévio e repousos semanais remunerados. O Tribunal também condenou a empresa ao pagamento de auxílio-refeição, auxílio-alimentação e décima terceira cesta alimentação, conforme previsto nas convenções coletivas da categoria. Essa decisão demonstra que o enquadramento sindical não depende apenas da atividade econômica registrada pela empresa. No Direito do Trabalho prevalece o princípio da primazia da realidade, segundo o qual a Justiça analisa as funções efetivamente desempenhadas pelo empregado. Cada caso deve ser analisado individualmente, mas profissionais que trabalham no PagBank, PagSeguro, fintechs, bancos digitais e empresas de meios de pagamento exercendo atividades relacionadas à comercialização de produtos financeiros podem possuir fundamentos para discutir judicialmente o reconhecimento da condição de bancário e os direitos decorrentes desse enquadramento. A transformação do mercado financeiro trouxe novos modelos de negócio, mas não afastou a aplicação dos princípios que protegem o trabalhador. Quando a realidade das funções evidencia o exercício de atividades tipicamente bancárias, a Justiça do Trabalho pode reconhecer os direitos correspondentes. Palavras-chave SEO: PagBank, PagSeguro, bancário, enquadramento bancário, fintech, banco digital, horas extras bancário, jornada de 6 horas, direitos trabalhistas, TRT-2, Direito do Trabalho.

The semester ended. The loaner laptops didn't all come back, and the help desk can't say who has the rest. This one comes from campus IT teams. In August, the help desk hands out loaner laptops, tablets, and hotspots for the semester. A form, a signature, a row in a spreadsheet. In December they come back in waves. A few get checked in properly. Most go into a bin behind the desk, to deal with after finals. Laptops without chargers. Hotspots in the wrong bag. A few devices not at all. Meanwhile, the business school borrowed a cart of laptops for orientation week and never quite sent them back. A grad assistant who finished in May still has a laptop next to her name. The spreadsheet says who signed in August. It doesn't say who has the device now. What I see work for campus IT: Each loaner goes out as one kit (laptop, charger, hotspot), scanned to a named person with a due date and automatic reminders. If the charger doesn't come back, the check-in shows it right there. Students reserve a loaner in a self-service portal, so the help desk isn't running a waitlist by email. Laptops live in the same system as the rest of the campus gear, so a loan to another department stays on the record, and devices come back when someone leaves. See how campus IT keeps track of every loaner: https://lnkd.in/e6fSWDds

How incredible would it be if a navigation platform didn't just show you where a charger is, but let you actually use it, right there, in the app? Today, 90% of them hand you off at the moment that matters. Theyve done the hard part. Theyve shown you exactly where the charger is on the map. They direct you to it. But then you get there and can’t do what you came to do. You can’t actually charge. So you have to download a different app, or pay ad-hoc at the station. Finding the charger is just one part of the picture, and I think navigation platforms in particular are missing a major opportunity here. Heres what it could look like instead: You’re navigating to your destination. You arrive, you charge, you pay. All within that same tool. You dont just see a charger, you can actually transact with it. No new app to download, no new account to register. You just pay with Apple Pay, Google Pay, PayPal, whatever you already use, and youre done. You get on with your day. Thats the gap most platforms havent closed yet. Showing someone a charger is only part of the journey. Letting them actually use it completes it.

When I first set out to build the Circular Computing brand and proposition, plenty of people in the industry questioned the logic. Why on earth would any company invest millions in a dedicated facility to remanufacture laptops when the business world was quite happy buying brand new? But today, no one is questioning it, as everything has changed. The price of 'brand new' has skyrocketed as AI data centres are devouring global memory production and chipmakers are shifting capacity away from standard PCs. The result is what many are calling "RAMageddon": sharp price increases, component supply chain bottlenecks and severe pressure on IT budgets. Alongside this, the world has got wise to the sustainability equation for 'new' and we innovated to build a product that is "equal to or better than new". It really is the perfect storm for increased adoption of non-new laptops. As the wider market grapples with increased lead times and rising costs, that commitment to long-term resilience means we are able to support organisations with high-spec, reliable laptops at scale.

AI completely changed how search ads work for #SaaS. Here's what's changing, and what it means for how you spend.