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Summertime makes me think of a few things: relaxing on the beach, catching some sweet waves, and client-side OpenTelemetry. What, just me? We're excited to host another fun panel discussion with key members of the Android, Kotlin, and Browser SIGs to cover the current state of OTel support for mobile and web. If your engineering team is investing heavily in OpenTelemetry and you want to bring that same standard into your frontend observability practices, then this panel is for you. Signup link: https://shorturl.at/NAkDz Date: Wednesday, July 22 at 10AM PT Our awesome panelists: Hanson Ho: Android architect at Embrace, OTel Android approver, OTel Kotlin approver Martin Kuba: Staff software engineer at Grafana Labs, OTel JavaScript SDK approver and OTel Browser SDK maintainer Jason Plumb: Senior software engineer at Splunk, OTel Android maintainer, OTel Java maintainer, OTel Kotlin maintainer Jared Freeze: Senior software engineer at Embrace, OTel Browser SDK maintainer We'd love to answer any questions you have about mobile and web support in OTel as well. Feel free to send them in when you sign up or share them in the comments below! #OpenTelemetry #OTel #CNCF #Observability #MobileObservability #BrowserObservability

I'll be joining a panel discussion on July 22 about the current state of client-side OpenTelemetry. Over the past year, the OpenTelemetry community has made significant progress in browser and mobile observability - from new semantic conventions and browser instrumentation to improvements in Android and Kotlin support. We'll discuss what's production-ready today, what challenges we're still working through, and where client-side OpenTelemetry is headed next. If you're interested in bringing OpenTelemetry to browser and mobile applications, I think you'll find the discussion useful. Sign-up link: https://shorturl.at/XDflC 🗓️ Date: Wednesday, July 22 at at 10AM PT Panelists: Hanson Ho: Android architect at Embrace, OTel Android approver, OTel Kotlin approver Martin Kuba: Staff software engineer at Grafana Labs, OTel JavaScript SDK approver and OTel Browser SDK maintainer Jason Plumb: Principal software engineer at Splunk, OTel Android maintainer, OTel Java maintainer, OTel Kotlin maintainer Jared Freeze: Senior software engineer at Embrace, OTel Browser SDK maintainer #OpenTelemetry #OTel #CNCF #Observability #MobileObservability #BrowserObservability

Workforce management has become incredibly good at answering what is happening. The next opportunity is helping workforce leaders understand why it is happening and what they should do next. That’s the shift from workforce management to workforce intelligence. It means looking beyond the workforce plan itself and bringing together the context around it: Demand + workforce + customer + operations + business priorities → better decisions. A service-level drop, coverage gap or unexpected demand spike is useful information. But the real value comes when managers can quickly understand what is driving it, where the impact is greatest and where capacity can be shifted. That doesn’t mean replacing the WFM platforms or processes organisations already rely on. It means adding an intelligence layer around them. With emite and AskEmite, workforce leaders can bring workforce and interaction data together with information from across the wider business, then explore that context through dashboards, analytics and natural-language questions. AI shortens the path to the decision. The workforce manager still makes the call. Our latest blog looks at what workforce intelligence adds to WFM, how it applies beyond the contact centre, and where organisations can start. Read: From Workforce Management to Workforce Intelligence #WorkforceManagement #WorkforceIntelligence #WFM #AI #DataAnalytics #CustomerExperience #AskEmite #emite

Bonus abuse, account takeover, payment fraud, money laundering through in-game economies: Gambling and online gaming operators are managing more complexity, under more regulatory scrutiny, while still being expected to deliver a seamless experience to players.

Our new AI research assistant, AskISI, is turning hours of research into minutes, accelerating speed and efficiency for our clients. Don't just take our word for it, here's what our customers are saying: https://lnkd.in/eCnutdhf/?utm_campaign=Boost_Post_WebsiteVisits_Sep15,2026&utm_source=linkedin&utm_medium=paid&utm_id=1207256206&hsa_acc=503309846&hsa_cam=1207256206&hsa_grp=894995656&hsa_ad=1621833926&hsa_net=linkedin&hsa_ver=3 #AskISI #EMIS #EmergingMarkets #MarketIntelligence #AI

We get it, Supply Chain teams are under pressure. Every day brings new disruptions, supplier instability, and production challenges. That’s why risk management isn’t optional anymore—it’s a competitive advantage. At this year’s MEMA Original Equipment Suppliers Annual Conference, we’re talking about how to turn reactive firefighting into proactive control. Stop by Booth 5000 and see how SupplyAware™ helps teams stay one step ahead. #MEMA2025 #SupplyChain #RiskManagement #Manufacturing

What do Lego Minifigs have to do with Global Supply Chain? The LEGO minifigure is a perfect microcosm of a complex, global manufacturing supply chain. It's not a single product but an assembly of multiple components—head, torso, legs, and accessories—each requiring its own manufacturing and printing process. The tolerances for these tiny lil folks might suprise you ...

With data that’s AI-ready, Copilot delivers accurate, compliant, and instantly actionable answers — empowering your teams to make faster, safer, and more confident decisions.

EncompaaS prepares your data landscape so Copilot delivers accurate, compliant, and actionable results. Experience Copilot with EncompaaS-prepared data.

Generative AI is redefining how telecom operators innovate, but many are still stuck between pilot projects and true business impact. Join us for an in-depth webinar on how telecom leaders can bridge the divide between GenAI adoption and transformation. What you’ll gain: → State of AI in Business: The Reality Check → Critical Success Factors for GenAI Integration → The Learning Gap: Why Memory Matters → Five Myths About GenAI in Enterprise → Crossing the Divide from Adoption to Real Transformation 📅 26 November 2025 | 🕙 10:00 CET 🎤 Speaker: Mohammad Shaheen | 🎙 Moderator: Guy Redmill ➡️ Register today: https://lnkd.in/dQb_BZfQ #GenAI #Telecom #AITransformation #TelcoInnovation #Webinar

Generative AI is redefining how telecom operators innovate, but many are still stuck between pilot projects and true business impact. Join us for an in-depth webinar on how telecom leaders can bridge the divide between GenAI adoption and transformation. What you’ll gain: → State of AI in Business: The Reality Check → Critical Success Factors for GenAI Integration → The Learning Gap: Why Memory Matters → Five Myths About GenAI in Enterprise → Crossing the Divide from Adoption to Real Transformation 📅 26 November 2025 | 🕙 10:00 CET 🎤 Speaker: Mohammad Shaheen |🎙 Moderator: Guy Redmill ➡️ Register today: https://lnkd.in/dNmAt-BM #GenAI #Telecom #AITransformation #TelcoInnovation #Webinar

As AI agents become more sophisticated, leaders face a new challenge: how do you ensure these agents act responsibly? In her latest blog post, Edge Delta CISO Joan D Pepin shares a practical framework for deploying AI agents safely. She breaks down where the biggest risks live — from data exposure and privilege escalation to compliance blind spots — and how to mitigate them through defense in depth. At Edge Delta, we’ve built these principles directly into our collaborative AI Teammates. Our AI agents: ✅ Operate with read-only access by default, keeping humans in control of any state changes ✅ Run on our enterprise-grade Telemetry Pipelines, which act as guardrails to prevent sensitive data exposure ✅ Provide comprehensive, end-to-end logging for full transparency and auditability Joan’s framework outlines how to start smart, scale safely, and build the trust required for responsible AI adoption. Read the full post here: https://lnkd.in/eHTA9UJb

🌎 Everyone’s talking about model quality, LLM performance, and fine-tuning. Recently I've used GitHub, Cursor, OpenAI Codex, Vercel v0, Replit, and a few others, but here’s the hard truth: 80% of AI outcomes are determined before you ever touch a model. (I made up this statistic but it sounded about correct). The real bottleneck? Getting the right data in the right format, with the right context. Raw logs, fragmented telemetry, missing signals, schema drift, undefined semantics… these aren't minor nuisances. They completely derail downstream systems. If you're serious about AI, your priority shouldn’t just be "AI readiness" but also telemetry pipelines that reliably accomplish normalization and real-time structuring at the source. Edge Delta does this without shortcuts. No black boxes and you get to see all your data and which formats it's being sent to best enable AI initiatives. Great #AI starts with great data plumbing.

World’s Largest & Fastest Migration to Teamcenter 13 TB of Data 16+ Million Data Points 400 Threads 100% Accuracy 48 Hours Over 3 Days Panasonic partnered with eQ Technologic to execute the largest and fastest migration to Teamcenter. Seamlessly consolidating geographically dispersed data into a single cloud-based system, this migration sets a new standard in speed, scale, and precision. Discover how eQube®-DaaS Platform transformed this vision into reality: https://lnkd.in/gShg6SrA

World’s Largest & Fastest Migration to Teamcenter 13 TB of Data 16+ Million Data Points 400 Threads 100% Accuracy 48 Hours Over 3 Days Panasonic partnered with eQ Technologic to execute the largest and fastest migration to Teamcenter. Seamlessly consolidating geographically dispersed data into a single cloud-based system, this migration sets a new standard in speed, scale, and precision. Discover how eQube®-DaaS Platform transformed this vision into reality: https://lnkd.in/ghxNpKik

Quanto seu varejo precisa vender a mais? Quanto ele precisa comprar mais barato? Quanto de despesa ele precisa cortar? ➡ E mais do que isso, qual será o resultado dessas ações na sua receita e no seu EBITDA? A imagem mostra, exatamente, a tela de Recuperação de Margem dentro do BI Ellévti. No varejo, aumentar em 1% suas vendas pode ter um grande impacto em seu lucro. Por isso, saber em qual ponteiro mexer para ter, de fato, resultados é essencial. Essa foi apenas uma das telas que mostramos no webinar sobre Inteligência de Dados no Varejo, que fizemos no dia 12/11. Além dela, também nos aprofundamos no "Petscan" do varejo alimentício, telas essenciais para gestores do segmento. Clique e saiba mais: https://lnkd.in/dj7584DP Obs: os dados utilizados na imagem são fictícios, usados para simulação em versão demo da plataforma.

Decisões baseadas em intuição? Está na hora de mudar o jogo! Com informações estratégicas em tempo real e decisões tomadas com precisão, você não apenas navega pelo mercado, você o influencia, dirige e adapta com confiança. O Business Intelligence (BI) não é um luxo , ele é o diferencial competitivo que permite antecipar tendências, resolver desafios imprevistos e maximizar a performance. Fale com nossos especialistas e inicie a revolução da sua gestão com inteligência e precisão.

Flood Data & Insights: Flood risk can stall deals, reduce asset value and increase long-term cost. Advanced flood datasets from Emapsite can help property teams quantify risk early, protect investment strategies - and negotiate with confidence. From surface water to future climate scenarios, you'll see exactly where vulnerabilities lie, enabling cleaner due diligence, smarter acquisition choices, and stronger long-term returns.

FLOOD DATA: When deadlines are tight and risk matters, you need data you can trust. Emapsite’s flood mapping gives engineering, drainage and environmental teams precise depths, extents and return-period scenarios - ready to load directly into GIS and modelling environments. Deliver assessments faster, spot design constraints earlier and give clients the clarity they expect.

The recent AWS outage was a stark reminder: total cloud dependency creates a critical single point of failure. When the backbone of the internet goes dark, your users shouldn't lose functionality. Discover why adopting an offline-first strategy isn't just a backup plan—it's the critical choice for building truly resilient, high-performing applications. Stop relying on constant connectivity and start building products that simply work.

Are you building systems for the edge?

Your Lakehouse is doing more than anyone planned for. Bronze, silver, and gold pipelines are multiplying. DBU spend is climbing faster than revenue. Delta Live Tables, Workflows, Structured Streaming jobs, MLflow experiments, and Unity Catalog assets are all producing signals and most observability tools were never built to read them. Before you add another product to the Lakehouse, here is what actually matters. Read Our Blog for more info.

Quantify the real cost of data downtime, manual firefighting, or unreliable pipelines and discover the ROI of an end-to-end self-driving platform that unifies data observability, data quality, and context. Calculate Data ROI Now!

Building with AI agents? Use a database built for that workflow. Dolt brings Git for Data to AI-assisted development, with branching, diffs, version history, and rollback built in. Get started today.