B2B ad examples

Your customers start their day with their smartphone, move through their commute with it, monitor their health - and wind down with it at night. AI‑enabled smartphones are increasingly coordinating these moments, creating expectations for continuity, personalization, and emotional intelligence by default. For you, this raises a strategic challenge: growth will depend on who defines the experience layer, not just who manufactures the device. #ConnectedEcosystems #GrowthThroughInsight

Turn your logistics data into your greatest competitive advantage. ✨ While the industry evolves, AI helps you find the hidden margins and efficiency gains that hard work alone can't reach. Start chatting with your data and start winning today! Learn how: https://lnkd.in/d2KZgrFH

AI projects don’t break in the model. They break the moment a supply chain team tries to use them to make a real-time decision. A shipment is stuck in customs. A port delay starts cascading. Costs are already building up and the simple question breaks the system: Which orders are impacted, and what do we do right now? The data exists across ERP, logistics systems, supplier feeds. But it’s fragmented, slightly out of date, and disconnected from what’s actually happening on the ground. By the time you piece together the answer, you’re already reacting to the problem instead of getting ahead of it. I’ve seen this play out too many times. AI doesn’t struggle with generating answers. It struggles with understanding operational supply chain data in context, what’s delayed, why it matters, and what action to take before it hits production or cost. When that context is in place, the dynamic changes. You’re no longer waiting for issues to surface or chasing yesterday’s reports. You can ask a direct question…what’s stuck, what’s at risk, what needs intervention, and act immediately. That’s the difference between scrambling and actually running a proactive supply chain. The video below shows what that looks like in practice. #SupplyChainAI #OperationalAI #RealTimeSupplyChain #LogisticsTech #AIExecution

Why is your enterprise win rate dropping this quarter, which reps are driving the pipeline deficit, and where does the biggest forecast risk sit? Ask Claude. Get the answer in seconds, grounded in your own pipeline. All answered from one prompt.

What's the biggest risk to your forecast this quarter, and which deals is it sitting on? Ask Claude. Get the answer in seconds, grounded in your own pipeline. Kluster maps your CRM into a revenue data layer Claude can reason over, so you walk into your next board meeting with the answer already in hand.

As we count down to The Connected World LIVE! 2026, we're proud to recognize our Diamond Sponsor, LB Networks! LB Networks empowers service providers to optimize network performance, improve SLA compliance, and drive revenue growth with powerful visibility and analytics solutions. Their support is helping make TCWLIVE! 2026 the premier event for connectivity leaders to learn, collaborate, and shape the future of digital infrastructure. Thank you, LB Networks, for your partnership and commitment to advancing the connected world. Learn more about LB Networks: https://hubs.ly/Q04r36dB0 Register now to join us at TCWLIVE! 2026: https://hubs.ly/Q04r31tr0 #BeFound #TCWLIVE2026 #DigitalInfrastructure #Connectivity #Telecom #Connectbase #LBNetworks #Ecosystem

When leadership asks "what changed this quarter?", the teams with Consumer Edge already know. They benchmark against competitors weekly: market share, wallet shifts, retention. They see who's staying, who's switching, and where spend is moving. And when a board question or market event demands a deep dive, the data is already there. Investors use it to forecast results ahead of earnings. Brands use it to track share, size markets, and spot shifts before competitors do. Smarter strategy. From accurate, real-time consumer spending insights. Get to know Consumer Edge.

Your data has a backstory. Most banks have never read it, but it's the key to compliance.

Meet Dave. His one line of code is still costing your bank money.

At Info-Tech LIVE, many IT teams told us they struggle with fragmented monitoring tools and limited historical visibility across their environments. When performance issues occur, teams are often forced to jump between multiple dashboards, alerts, and reporting tools just to identify the root cause. Galileo brings infrastructure, storage, virtualization, cloud, and application visibility together in a single platform, helping teams troubleshoot faster, reduce complexity, and spend less time chasing alerts. See everything. Solve ANYTHING.

At Info-Tech LIVE, we spoke with IT leaders looking for better ways to understand performance trends, forecast capacity needs, and eliminate infrastructure blind spots. Galileo combines real-time observability with unlimited historical visibility, helping teams move from reactive monitoring to proactive decision-making.

You built a network most companies would pay for. Infobip scaled that same kind of network to 1,000+ partners, and turned it into a data layer their whole company runs on. Crossbeam MCP can do the same for you. The collective intelligence of your ecosystem, delivered directly into the AI your teams already use. 👇 Book a demo.

Your agents have digested most of your company's data. What they haven't touched yet is the partner ecosystem sitting right next to it. Adobe wired that same kind of data into a 5,000-person sales team, read-only, permissioned, no engineering lift required. Crossbeam MCP does the same for yours: your ecosystem, grabbed and wired directly into the agents your team already runs. Book a demo 👇

Every data estate has a weak point. Identify where trust may break across migration, reporting, or AI readiness with a tailored RightData diagnostic. Select your platform and priority to uncover likely trust checkpoints-and take the first step toward data you can confidently use.

When leadership asks "what changed this quarter?", the teams with Consumer Edge already know. They benchmark against competitors weekly: market share, wallet shifts, retention. They see who's staying, who's switching, and where spend is moving. And when a board question or market event demands a deep dive, the data is already there. Investors use it to forecast results ahead of earnings. Brands use it to track share, size markets, and spot shifts before competitors do. Smarter strategy. From accurate, real-time consumer spending insights. Get to know Consumer Edge.

🚀 CTS Trade Newsletters are officially LIVE! Our new CTS Trade Newsletters are designed to help you zoom in on the container trades that matter most to your business, bringing trusted CTS data and focused market commentary together in one place. Whether you want to compare imports and exports, understand dry and reefer movements, identify the sub-regional drivers behind a trade, or track TEU Volume and Price Index trends, Trade Newsletters help you see beyond the headline numbers and build a clearer picture of what is happening across your key markets. 📊 See how the market moved. Understand why. Want to see them for yourself? Explore our NEW Trade Newsletter webpage and request a FREE sample using the link in the comments. #Import #Export #MarketInsights #TradeFlows #ContainerShipping #Maritime #TradeIntelligence #SupplyChain #ShippingData #ProductLaunch #NewProduct #Innovation

Shoppers abandon checkout, and you don't know why. Fullstory shows you exactly where, so you can fix it before it costs you revenue.

Fullstory shows you the friction traditional analytics can't. See exactly why shoppers drop off, and turn those sessions into completed purchases.

As lakehouse data products scale, every team can define “ready” differently. Create a consistent trust standard around quality, freshness, governance and certification before those products reach analytics and AI.

This is the story of a 38-year-old business school professor who outbounded his way to become the COO of a $2B company, became CEO 5 years later, then grew it more than 4x during his tenure. Gary Loveman is a PhD economist and was teaching at Harvard Business School in the 90s when he saw an interesting potential test case in Harrah's Entertainment for his ideas on how to identify high-value customers and ensure their loyalty. So he sent a letter to then-Harrah's CEO Phil Satre with some recommendations for the company. A few months later, he found himself with an offer to become Harrah's COO. He wanted to use data and scientific thinking to find the company's biggest levers for growth, so he set out launching the grandaddy of modern Vegas reward schemes: Harrah's "Total Gold" loyalty program. With the reams of customer data that "Total Gold" collected, Loveman and team realized that slots-heavy "AEPs" (for "avid experienced players") were the biggest profit center for Harrah's, not the stereotypical "high roller" many casinos were focused on at that time. Armed with that insight, Harrah's ran "hundreds of tests to see which incentives induced people to stay at the company’s hotels and to what degree. The results revealed that some, such as retail-store discounts, didn’t affect hotel bookings and could be eliminated. Moreover, if the money spent on them was reallocated to effective incentives, such as deeper room discounts, Harrah’s could boost both responsiveness and profits." By 2004, annual revenues were up to $4.6B (from $2B in 1998) and Loveman won his first of four consecutive "Best CEO in Gaming" awards. In 2005, the foundation Loveman had built on experimentation and data-driven strategy paved the way for their single largest expansion: acquiring Caesar's Entertainment for a whopping $10.4B. His instructions to the team? "There are only three ways to get fired here: theft, sexual harassment, and running an experiment without a control group." I first came across Gary's story in Stefan Thomke's "Experimentation Works", which I've been revisiting lately as it approaches it's fifth anniversary. You can ready Thomke and Loveman's co-authored article in HBR "Act Like a Scientist" - where the quotation about "hundreds of tests" comes from - here: https://lnkd.in/e2PU6P_G The pullquote in my image below is from an interview that Michael Schrage conducted with Loveman in 2011: https://lnkd.in/eckR5KtE

OUTPERFORM is coming! 250+ pages in print of the best insights on experimentation from 25+ expert authors, published by Eppo. Issues ship Summer 2025. Request a free copy here: https://lnkd.in/epyd3fS2 -Experimentation war stories from inside companies who run tens of thousands of experiments a year -In-depth guides on topics like scaling centers of excellence, running office hours, or how gaming companies leverage experimentation while developing new games -Editorial hot takes on statistics and Bayesian priors and NHST too spicy for LinkedIn -Interviews with data leaders, sports statisticians, AI researchers, and many more

AI is making data visualization smarter and more intuitive! Discover how AI-powered documentation is changing the game in analytics and data visualization. Read all about it and stay ahead in the field!👉 https://bit.ly/3AEtQFt #FusionCharts #DataTech #AIAssistant #developertools

Revolutionize your marketing analytics with our advanced Marketing Dashboard. This tool provides a comprehensive view of your campaigns, helping you track performance and optimize strategies with real-time data. Explore Now:👉 https://bit.ly/3XCiquN #fusioncharts #MarketingStrategy #DataVisualization #BusinessIntelligence #MarketingAnalytics #DashboardDesign

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