Kanak Kanti Roy

If your datasets are poorly labeled, you’re inviting a host of issues like noise, bias, and inconsistencies that can seriously hurt your model's accuracy and reliability when it’s out in the wild. That's why data labeling has evolved from being just a preliminary step into a vital part of engineering and operations in the AI lifecycle.

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The Databricks Startups team answers founders’ most common AI questions—where to start without hype, how to stay compliant with sensitive data, what to build versus buy, how to cut hallucinations, and how to keep costs in check. 💡 Get step‑by‑step starting points, governance patterns for sensitive data, a pragmatic build‑versus‑buy lens, tactics to curb hallucinations, and cost controls that scale. 🔗 Full post: https://lnkd.in/ehRa3Yp5 #Databricks #DatabricksForStartups #AI #GenAI #MLOps

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No A/B test? No problem. Learn how Regression Discontinuity Design (RDD) can uncover causal effects in observational data by exploiting sharp cutoffs. Dive into the theory and a real-world e-commerce example in Alejandro Alvarez Pérez's newest article.

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The most expensive mistake in data? Buying a platform you can’t leave. We’ve seen it happen too many times—shiny demos, big promises, and 18 months later… you’re replatforming. Again. The 2025 Data Platform Buyer’s Guide is the playbook vendors hope you never find. Inside:  • The 10-minute test to see if you’re even ready    (https://lnkd.in/g4F-Cwh2)  • 3 words that make bad vendors sweat  • How to hijack a demo and get the truth The questions that kill bad deals 💡 One read now could save you millions later. 🔗 [https://lnkd.in/g2-BUjkv] #dataplatform #buyersguide #dataanalytics

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🧠 Databricks vs. Keewano: The Future of AI Analytics for Product Teams Not all AI analytics platforms are created equal. While Databricks powers enterprise data infrastructure, Keewano is purpose-built for fast, causal insights in games and mobile apps—with 600× faster access and always-on AI agents that deliver answers, not just dashboards. 🚀 Compare setup effort, cost, speed, and how each handles real-time product optimization at scale. 🔍 Read the full breakdown: https://lnkd.in/dxcNCNKB #Keewano #Databricks #AIAnalytics #ProductIntelligence #GameAnalytics #LLM #AIAgents #Retention #Churn #DataPlatform #TechComparison #BuildBetterGames

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Curious how your Databricks data estate is really performing? Download a free sample of Unravel's Databricks Health Data Estate Report and see the kind of deep insights you can unlock: 📈 Performance insights to speed up jobs and workflows 📈 Productivity boosts with top improvement areas—no log diving required 📈 Savings projections for clusters and pipelines 📈 SLA attainment metrics to reduce pipeline delays 📈 Job health visibility to fix frequent failures fast Start uncovering hidden opportunities for efficiency: https://lnkd.in/gJ7qu4Nu #Databricks #CloudFinOps #DataObservability #PerformanceTuning #DataEfficiency #UnravelData

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Marketing tech is moving fast. Keep up daily. 1. C5i Unveils Marketing Data Cloud with Databricks  “Marketing Data Cloud combines C5i's data, AI, and marketing domain expertise with Databricks' and scalability to drive precision and impact," said Ashwin Mittal, Executive Chairman of C5i. 2. LinkedIn Expands Video Ads with Creators, Publishers “Advertisers are incredibly interested in connecting with people who make decisions, particularly in the business-to-business marketplaces,” said Matthew Derella, LinkedIn’s VP of Marketing Solutions. 3. SheerID Unveils New Features for ADP “Our new capabilities provide marketing teams with deeper ways to engage with their customers while making identity verification faster and more secure than ever," said Carter Lassy, CPO of SheerID. 4. Spectrum Reach Acquires ShowSeeker “In a fragmented media landscape, the integrated solution will streamline planning and execution to save agencies valuable time,” said Rob Klippel, SVP, Product, Technology & Operations for Spectrum Reach. For more details, visit: https://lnkd.in/dyD-ifrr

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CRO isn’t one tool it’s a stack working together. Analytics with Google Analytics 4, Heap Analytics, and Mixpanel shows what users do. Behavior tools like Hotjar, Smartlook, and FullStory reveal why they do it. Experimentation platforms such as Optimizely, VWO, and AB Tasty test what works. Add landing pages, AI personalization, and revenue tools like HubSpot and Kameleoon and you turn insights into conversions. CRO Stack = Data + Behavior + Testing + Personalization → Revenue #CRO #ConversionRateOptimization #GA4 #GrowthMarketing #ABTesting #DigitalMarketing #MarketingAnalytics

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Unlock the Power of Unified Data with Databricks In today’s data-driven world, organizations need more than just data storage they need data intelligence. That’s where Databricks shines bringing together data engineering, data science, and machine learning on one collaborative platform. Why Databricks Matters: 1. Unified Data Platform: Combines data lakes and warehouses for a “Lakehouse” architecture. 2. Scalable AI/ML: Enables rapid model training and deployment with built-in ML flow. 3. Collaborative Workspace: Data engineers, analysts, and scientists can work together seamlessly. 4. Open & Cloud-Ready: Built on Apache Spark, compatible with major cloud providers (AWS, Azure, GCP). At GrayCell America, we help organizations leverage Databricks to accelerate data transformation, AI adoption, and decision-making. From data silos to smart insights your data journey starts here. #Databricks #DataEngineering #AI #MachineLearning #DataScience #GraycellAmerica #DataAnalytics #DigitalTransformation

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Analytics teams and business users aim for the same outcome: better decisions - but they’re working across different platforms to get there. Analytics teams need the freedom to: - Build analytical pipelines quickly - Maintain data governance as business needs change - Scale themselves to handle the constant stream of ad-hoc requests Business users need: - Faster access to datasets - Confidence they’re looking at the right numbers - Quick analysis so they can make the right decisions Now imagine a single place where analytics teams build and govern data, and business users consume it - quickly, clearly, and consistently. One unified platform acting like a data expert in your pocket. - Scale your teams - Faster access to data - Lower spend

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