Brian Crain

Snowflake and Palantir Technologies are making it easier to turn data into business outcomes. For P&C insurers, that means: • AI-powered speed and accuracy • Real-time insights for smarter decisions • A modern data foundation built for growth http://bit.ly/4qkIiHJ #InsuranceInnovation #AIinInsurance #DataStrategy #InsuranceAnalytics #Snowflake #Palantir

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Why is Pigment redefining the EPM space — and what does this mean for the Office of the CFO (and beyond)? It comes down to three critical imperatives: 𝘀𝗽𝗲𝗲𝗱, 𝗳𝗹𝗲𝘅𝗶𝗯𝗶𝗹𝗶𝘁𝘆, 𝗮𝗻𝗱 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲. In today’s hyper-volatile environment, global competition intensifies by the week. Economic outlooks shift rapidly. Technology evolves at lightning speed. Supply chains remain unpredictable. And geopolitical dynamics can turn overnight. To thrive in this context, business leaders need more than a static planning tool. They need a dynamic platform that 𝗲𝗺𝗽𝗼𝘄𝗲𝗿𝘀 their teams to operate with agility, insight, and precision. That’s why Pigment is resonating with the most forward-thinking planning teams.We put true planning power in the hands of operators. With Pigment, planners can: --> Instantly compare what-if scenarios, side by side, to stress-test decisions in real time. --> Develop alternative models on demand — whether responding to internal strategy shifts or external disruptions. --> Understand the impact of changes, such as new tariffs, logistics delays, demand fluctuations, or excess inventory — without having to wait for analysts to respond. --> Adapt autonomously, across Finance, Supply Chain, Revenue, and People teams — within a single unified platform. --> This is modern planning. Not dependent on but 𝗲𝗺𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗯𝘆 𝗜𝗧. Not locked in rigid workflows. But truly democratized. And then there’s 𝗔𝗜 — 𝗻𝗼𝘁 𝗮𝘀 𝗮𝗻 𝗲𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁, 𝗯𝘂𝘁 𝗮𝘀 𝗮 𝗰𝗼-𝗽𝗶𝗹𝗼𝘁 . Many organizations are testing GenAI in isolated pilots. Some are building chat interfaces on top of legacy systems. But too often, it’s still experimental and disconnected from core business operations. Pigment takes a different path: AI is not an add-on. It is natively embedded in the platform, designed specifically for planners. With Pigment’s intelligent agents, teams can: --> Understand numbers instantly with contextual narratives and deep drill-downs. --> Interpret underlying trends across business functions and over time. --> Forecast the future with AI models that learn and refine as your business evolves. --> Automate routine analysis, so decision-makers can focus on strategy, not spreadsheets. The result? --> A significant reduction in time to insight. --> The ability to explore multiple planning scenarios without friction. --> And a continuous, AI-augmented feedback loop between data, models, and people. This is more than planning. This is how business adapts — continuously. Want to see it in action? For the first time ever, Pigment is hosting a global virtual roadshow — showcasing our vision, customer stories, and live product innovation. 📅 July 30 🌐 Open to all regions 🔗 Register here: https://lnkd.in/e-VrmS7v

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How do you personalize billions of emails and optimize a 9-figure ad budget across 8 networks? Grammarly does it by modeling customer data in Databricks and activating it with Hightouch’s Composable CDP — powering dynamic segmentation, billions of personalized emails, and smarter ad spend. Explore how Grammarly drives personalization at scale 👉 https://lnkd.in/eR7Qze3z

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So proud of the team 🫵 Chronodrive (Auchan Retail Group) the French grocery retailer, is putting Bamboo Rose’s AI-powered Decision Intelligence at the core of its promotional planning strategy. By embedding AI directly into promotional forecasting and inventory decisions, Chronodrive is already seeing strong, measurable results: ✔️ SKU-level promotional forecasts up to 4 months ahead ✔️ 8% reduction in spoilage in just a few months ✔️ Up to €700K in estimated annual savings from reduced overstock ✔️ Better alignment between promotions, inventory, and customer demand 💬 “In just a few months, we improved our spoilage rate by 8%,” — Sébastien PICART, CEO of Chronodrive. 👉 Read the full story here: https://lnkd.in/ef7as8rQ

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It's clear 2026 takes us to an AI inflection point. The technology is racing ahead, but many organizations are still stuck in the “demo zone” – great prototypes, very little scale. In almost every customer conversation, the AI questions boil down to two things: impact + scale. → AI tech evolution isn't slowing down. But you won’t see impact if your ways of working stay the same. Teams need room to play, experiment, learn, and iterate. Give them space to fail. → You won’t see scale without the right data and platform approach. Enterprise data has always been sprawling and complex. A platform and knowledge layer that understands your org’s system of work is critical when it's agents, not just humans that need to logic with that knowledge. At Atlassian, we’re learning that AI adoption is the result of structured experimentation, grounded in real use cases, tight feedback loops, and a culture that rewards curiosity over perfection. I share more of this perspective in a new piece with diginomica https://lnkd.in/gmfiapd5 and am so thankful for the amazing customers who are our design partners in this journey . . . Partners like Alexander Androncik from AMD and Trevor Brosnan of Morgan Stanley who spent time with me and my teams this week to share what's working for them and what's not so we can push the envelope together.

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800+ GTM pros. One platform. Zero silos. The Access Group just scaled its use of Clari to the full Revenue Orchestration Platform — now powering sales engagement and productivity, conversational intelligence, revenue operations, and forecasting. With Clari’s Revenue Orchestration Platform, they’ve unlocked: ✅ Forecast accuracy at scale ✅ Higher win rates on top-priority deals ✅ Consistent revenue execution across every region and motion The key? One platform. One set of cadences. One connected team — with Clari guiding every move. Read how Access Group runs revenue with Clari: https://lnkd.in/gGWJzsti

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A VP at a large distribution customer recently highlighted the success of implementing Phase 1 of Pricefx, revealing a remarkable achievement: By leveraging Pricefx, they grew sales by over $1 billion from an acquisition without expanding their workforce! With their legacy systems, this process would have consumed up to 9 months and required additional staff. However, Pricefx facilitated a smooth and much faster transition by integrating existing processes into the platform. This approach not only increased operational efficiency but also enhanced pricing agility, yielding immediate ROI. #scalability #efficiency #pricing #agility #distribution

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Danone painstakingly builds a unified #data ecosystem with Databricks 🚀 A look back at a major project to build a unified data lake and put data at the service of #AI by Jean Calvin K., Global Data & Analytics Platform and Operations Director at Danone 👏 https://lnkd.in/ergqTsA7

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Modernizing your data stack doesn’t have to be painful or risky 📊 We’re teaming up with Infinite Lambda on June 18 to share how enterprises are moving off Talend and Informatica without blowing budgets or breaking pipelines. We’ll cover: • What’s at risk if you stay put • How to automate 90%+ of your migration • The role of dbt in building a future-ready, AI-enabled architecture 👉 Save your seat: https://lnkd.in/gm63UtU2

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We've launched the dbt_semantic_view package, seamlessly integrating the Snowflake semantic view with dbt's disciplined workflow. This means you can now: - Centralize Metrics: Define key metric logic (FACTS, DIMENSIONS, METRICS) natively in Snowflake's semantic view for a single source of truth. - Enable CI/CD: Apply dbt's strengths (declarative YAML, testing, and version control) directly to your semantic layer definitions. - Ensure Governance: Automatically manage privileges and validate relationships to ensure every consumer, from BI tools to AI agents, uses trusted data. - Unify your governance framework and ensure consistent, high-performance metrics across your enterprise. Learn more and get started: https://lnkd.in/eZqiwT-g

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🚨 Salesforce just bet $8B on data dominance. Their move to acquire Informatica isn’t just about features — it’s a bold play to fuel Agentforce and lead in AI by owning the data stack. On paper? Smart move. 🧩 MDM, integration, cataloguing — all critical inputs for agentic AI. But there’s tension too: • Slowed Informatica growth = potential drag • Neutrality lost? Customers may question the lock-in • Integration history… well, mixed at best So where does this leave the rest of us? At Qlik, we’re taking a different path: 👉 Open. Trusted. Real-time. We’re not bound to any CRM. We’re built to activate governed data wherever it lives — because in the AI era, action beats analytics. 🎥 I break it down in this quick video — take a look, I can’t bare to watch myself personally: Are you optimising for visibility… or velocity? #AgenticAI #Salesforce #Informatica #Qlik #DataStrategy #AIreadiness #ThoughtLeadership

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🌟 3 Ways that Snowflake & Data Cloud Work Better Together Wondering how to maximize your Snowflake and Data Cloud investments? Intelligent activation is key. 1. 🚀 Accelerate Sales with Deeper Insights: Unleash the power of your Snowflake data in Data Cloud to identify high-potential leads. Surface these insights in Salesforce Sales Cloud to prioritize effectively and boost conversion rates. 2. 🛠️ Improve Service with Real-Time Data: Integrate Snowflake data into Salesforce Service Cloud for a comprehensive, real-time view of customer interactions that adds up to more personalized and efficient service. 3. 🎯 Personalize Marketing with Advanced Segmentation: Create highly targeted audience segments in Data Cloud using Snowflake data. Activate these segments in Salesforce Marketing Cloud to deliver personalized campaigns across all channels. Learn how to bring intelligent activation to Snowflake and make the most of all your data investments: https://sforce.co/3YguPoh

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