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Case Studies

A global logistics spend management and freight audit leader needed to modernize fast while managing private equity ownership and a major merger.To support this shift, they partnered with Kanerika as their product engineering partner.Kanerika built a 35-member engineering team in the first 90 days, took ownership of delivery and platform stability, and later scaled the team to 140. The model also supported the integration of two acquired businesses without affecting roadmap progress or customer commitments.This transformation delivered: ✅ 40% lower development costs ✅ 25% faster time to market ✅ 100% platform reliability through M&A and critical transitionsWatch how Kanerika helped a global logistics leader expand engineering capacity, control costs, and maintain delivery during major business change.Read the full case study here: https://kanerika.com/case-studies/driving-operating-leverage-and-ma-ready-scalable-growth-with-product-engineering-services/#ProductEngineering #LogisticsTechnology #CaseStudy #Kanerika #DigitalTransformation 1:39
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Building Operational EfficiencyThrough Scalable Product Engineering | Case Study

views August 6, 2026 12:22 pm

In this video, Amit Chandak, Kanerika’s CAO and Microsoft MVP, explains how Kanerika helped FoodPharma speed up business reporting with Microsoft Fabric.The result: reporting time reduced from two business days to about 90 minutes, with the BI team saving nearly 15 hours every week.Read the full story here: https://www.microsoft.com/en/customers/story/26704-foodpharma-microsoft-fabricBook a consultation: www.kanerika.com/meet 1:02
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FoodPharma’s Reporting Transformation with Microsoft Fabric and Kanerika

views June 15, 2026 7:18 am

A global interconnect manufacturer was running its entire analytics operation on legacy QlikView. Manual scripting, slow refreshes, and a reporting setup where every small change needed a specialist.We moved them to real-time Power BI on Microsoft Fabric using FLIP. The video breaks down what we migrated, how the new pipelines work, and the numbers on maintenance, refresh speed, and cost.Watch to see the full before and after.Case study: https://kanerika.com/case-studies/transforming-legacy-qlikview-reporting-into-real-time-power-bi-analytics/Talk to our team: https://www.kanerika.com/meet#PowerBI #QlikView #MicrosoftFabric #DataMigration #BusinessIntelligence 1:41
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Migrating Legacy QlikView Reporting to Real-Time Power BI Analytics | Case Study

views June 3, 2026 1:12 pm

When brand guidelines live across emails, folders, PDFs, and different teams, consistency breaks fast.A leading payments technology company was dealing with slow approvals, compliance gaps, and constant dependency on internal brand experts across markets and partners.Kanerika helped solve it with a conversational AI assistant that centralized brand knowledge, automated query resolution, and gave teams instant self-service access to approved guidelines.Results: • 35% improvement in brand compliance • 60% faster approval turnaround • 70% reduction in manual effort per queryThis is what happens when AI removes operational friction from enterprise brand governance.#ConversationalAI #BrandCompliance #EnterpriseAI #AITransformation #BrandGovernance #GenerativeAI #Automation #Kanerika 1:47
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Enhancing Brand Compliance and Approval Workflows with Conversational AI

views May 18, 2026 8:45 am

Regulatory compliance doesn't scale with manual processes. When a compliance firm serving financial institutions needed to handle growing regulatory volume across jurisdictions, they needed more than a tool upgrade.Kanerika built them a centralized AI compliance platform from the ground up — automated requirement mapping, real-time regulatory tracking, integrated dashboards, and full audit traceability across systems.The outcome: 40% faster regulatory response, 60% less manual work, and 5x better audit traceability.This is the kind of work we do at Kanerika — taking fragmented compliance operations and rebuilding them with AI and data infrastructure that actually holds up at scale.🔗 Read the full case study: https://kanerika.com/case-studies/enhancing-compliance-oversight-with-ai-regulatory-management-platform/ 💬 See what we can build for your team: www.kanerika.com/meet 1:37
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Building an AI-Powered Compliance Platform That Scales Across Jurisdictions

views May 13, 2026 12:45 pm

Fortegra, a leading insurance provider, was facing delays and errors in premium reconciliation due to manual processes and unstructured data.In this video, see how Kanerika helped streamline operations using UiPath and Python.What’s covered:Automated bank statement capture Accurate data extraction and validation End-to-end reconciliation and system updatesResults: ✔ 85% faster reconciliation ✔ 99% data accuracy ✔ 100% removal of manual updatesStill running manual finance processes?👉 Book a meeting: www.kanerika.com/meet 1:39
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Data Accuracy in Premium Reconciliation with Automation for Fortegra | Kanerika's case study

views April 14, 2026 2:02 pm

A global enterprise had no shortage of data—but getting timely insights from it was a different story.As their scale grew, their Informatica setup started holding them back. Reports took longer, data was locked in batch cycles, and different regions were working with different versions of the truth.We worked with them to move to Microsoft Fabric—but this wasn’t just a tech migration. It changed how their teams accessed, trusted, and acted on data every day.In this video, we break down what was really slowing them down, what we changed, and how that shift impacted performance at scale.If you’re dealing with similar bottlenecks, this will feel very familiar.👉 Want to see what this could look like for you? https://kanerika.com/meet#MicrosoftFabric #DataModernization #DataEngineering #Analytics #DigitalTransformation #Kanerika 1:34
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Enabling Faster Insights with Informatica to Microsoft Fabric Migration

views April 5, 2026 7:28 am

A leading pharmaceutical manufacturer struggled with slow, manual sales and finance reporting. Data lived across many systems, numbers did not match, and teams spent weeks preparing reports instead of reviewing performance.Kanerika implemented Microsoft Fabric to unify sales and finance data in a single Lakehouse. With governed analytics and Power BI dashboards, leaders gained instant access to accurate KPIs and trends.Business Impact: • 95% reduction in reporting effort • 40% improvement in operational efficiency • 35% lower operating costsReady to move from manual reports to trusted insights? Connect with Kanerika: www.kanerika.com/meet 1:33
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How Microsoft Fabric Improved Sales & Financial KPIs for a Leading Pharma Manufacturer

56 views January 20, 2026 9:28 am

A global packaging leader was stuck with a slow and costly data setup. Their Azure Data Factory and Synapse pipelines were scattered, slow and hard to manage. By moving to Microsoft Fabric with help from Kanerika, they cut costs, sped up data flows and built a cleaner, stronger foundation for growth.In this case study, we walk through • How fragmented pipelines were holding them back • Why their Parquet conversions caused delays and failures • How a single governance setup fixed repeat work • The steps we used to shift them to Fabric with our accelerator • The wins they saw across cost, speed and insightsKey Outcomes: • 30% lower cloud and data costs • 50% faster pipelines • Insights ready 80% quickerIf you want to modernize your own data setup, reach out to us here: www.kanerika.com/meet#microsoftfabric #datamigration #kanerika #cloudoptimization #dataperformance #azuredata #fabricmigration #dataengineering #digitaltransformation #caseStudy 1:20
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How Microsoft Fabric Helps Reduce Cost & Boost Data Performance: A Case Study

26 views December 14, 2025 4:20 pm

Product Demos

Reduce manual invoice processing costs by up to $40 per invoice. FLIP by Kanerika automates invoice data extraction from PDFs, scans, and images into structured Excel files. Faster AP workflows, accurate data, and audit-ready reporting. <br /><br />Request a free trial today at www.kanerika.com/meet 1:30
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Automate Invoice Processing I FLIP I Kanerika's low-code/no-code Automation Platform

February 24, 2026 7:10 am

This video is private.
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Private video

February 23, 2026 1:06 pm

Pharma teams lose huge amounts of time digging through reports instead of getting straight answers. When it takes hours to check sales shifts, margin leaks, or patient trends, key calls get pushed back and problems grow.<br /><br />This video shows how Karl fixes that. You’ll see how a simple chat with Karl gives you answers in seconds that would normally take days. If you work in pharma and want faster insight with less effort, this demo is worth your time.<br /><br />In this demo, you’ll see Karl respond to core pharma questions in seconds:<br />✅ Net sales, gross sales, and total adjustments<br />✅ Month-by-month sales trends<br />✅ Fast root cause checks for dips or spikes<br />✅ Product ranking by net margin<br />✅ Account-level insights to spot behavior changes early<br /><br />Karl plugs into your current data stack. It runs on-prem or on cloud platforms like Microsoft Fabric, Databricks, and Snowflake.<br /><br />Pharma teams get what they need fast. Clear insight. Better timing. Stronger decisions.<br /><br />👉 Explore Karl today: www.kanerika.com/meet<br /><br />#PharmaAI #DataAnalytics #LifeSciences #PharmaTech #Kanerika 2:40
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Karl: Data Insights AI Agent for Pharma

December 8, 2025 5:54 am

Manual data reconciliation can drain time, increase errors, and slow down reporting. In this demo, see how Kanerika’s AI-Powered Automated Data Reconciliation Solution, powered by FLIP, integrates with Alteryx to simplify and accelerate data validation.<br /><br />This solution compares and validates data across multiple systems in minutes — automatically generating business rules by analyzing Alteryx workflows and other ETL tools like Informatica.<br /><br />💡 In this video, you’ll learn:<br />✔️ Common challenges in manual reconciliation<br />✔️ How FLIP automates rule creation from Alteryx workflows<br />✔️ How real-time dashboards ensure accuracy and transparency<br />✔️ How to achieve reliable, audit-ready reporting<br /><br />Whether you’re managing compliance data, migrating systems, or building reports, Kanerika’s Automated Data Reconciliation Solution gives you full visibility and confidence in every decision.<br /><br />📅 Learn more or schedule a personalized demo: https://www.kanerika.com/meet<br /><br />#Alteryx #AutomatedDataReconciliation #DataValidation #Kanerika #FLIP #DataAnalytics #ETL #Informatica #DataAccuracy #Automation #BusinessIntelligence #DataIntegration 2:37
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AI-Powered Automated Data Reconciliation Solution for Alteryx Workflows

November 12, 2025 1:13 pm

Data mismatches slowing your teams down?<br />See how Kanerika’s AI-Powered Data Reconciliation Solution (FLIP) makes validation fast, accurate, and effortless.<br /><br />In this video:<br />✅ Common challenges with manual data reconciliation<br />✅ How FLIP automates validation across systems<br />✅ Real-time dashboards for instant mismatch detection<br />✅ How teams ensure accuracy and compliance with every report<br /><br />🎥 Watch now to see how Kanerika FLIP simplifies data validation and builds trust in every number.<br /><br />#KanerikaFLIP #AI #DataValidation #Automation #dataaccuracy 1:14
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Validate & Reconcile Data in Minutes with FLIP | Automated Data Reconciliation Solution

October 29, 2025 6:45 am

Retail runs on speed, margins, and customer behavior. Yet poor demand forecasting, misplaced inventory, and low conversion rates can cost up to 20% in lost sales.<br /><br />That’s where Karl comes in — an AI-powered retail insights agent built on Microsoft Fabric.<br /><br />In this demo, see how Karl delivers instant answers to key retail questions:<br />✅ Total sales over the last 12 months<br />✅ Best and worst store performance in 2024<br />✅ Store traffic vs. conversion rates<br />✅ Top 5 stores by conversion rate<br />✅ Basket size, deadstock, and turnover trends<br /><br />All in seconds — without complicated dashboards.<br /><br />With Karl in Fabric, data becomes decisions — faster, clearer, and more impactful.<br /><br />👉 Explore Karl in Microsoft Fabric today: www.kanerika.com/meet<br /><br />#MicrosoftFabric #RetailAI #DataAnalytics 3:09
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Microsoft Fabric + Karl: Instant Retail Insights With AI

September 25, 2025 11:09 am

Plant efficiency, product quality, and supplier reliability drive manufacturing profitability. Yet downtime, waste, and hidden quality issues can cut output and raise costs.<br /><br />That’s where Karl comes in — an AI-powered manufacturing insights agent built on Microsoft Fabric.<br /><br />In this demo, see how Karl delivers instant answers to key manufacturing questions:<br />✅ Average OEE across all plants<br />✅ Plant-wise OEE to spot efficiency gaps<br />✅ MTTR to identify downtime risks<br />✅ Production yield and scrap hotspots<br />✅ Top 5 materials by defect rate and supplier rejection trends<br /><br />All in seconds — without complex dashboards.<br /><br />With Karl in Fabric, data becomes decisions — faster, clearer, and more impactful.<br /><br />👉 Explore Karl in Microsoft Fabric today: www.kanerika.com/meet<br /><br />#MicrosoftFabric #ManufacturingAI #DataAnalytics 3:10
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Real-Time Manufacturing Insights with Karl in Microsoft Fabric | Plant Efficiency & Quality

September 25, 2025 6:21 am

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September 24, 2025 7:20 am

Managing data deletion in Snowflake across complex parent-child tables can be time-consuming, error-prone, and risky for compliance. Kanerika’s AI-powered Lineage and Deletion Solution makes this process effortless and secure.<br /><br />In this demo, you’ll see how our intelligent application:<br />✔️ Automates deletion across parent and child tables in Snowflake<br />✔️ Uses an AI lineage builder to track PII data and dependencies<br />✔️ Provides full visibility into database relationships with interactive lineage graphs<br />✔️ Ensures accurate, consistent, and compliant data cleanup<br /><br />No more manual SQL scripting or compliance risks. With Kanerika, you get a smarter, configurable, and reliable way to manage sensitive data across Snowflake environments.<br /><br />👉 Watch the full demo to see how you can simplify data cleanup, ensure compliance, and maintain complete data visibility with Kanerika’s solution. 2:54
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Intelligent Data Cleanup in Snowflake | AI-Powered Lineage & Compliance Solution by Kanerika

September 16, 2025 6:38 am

MIGRATION

Most AI projects stall before they start — because the data stack underneath them wasn't built for it.Databricks fixes that. One platform for engineering, analytics, and ML. But migrating off legacy systems is where most teams lose months.Kanerika is a certified Databricks partner. We've delivered migrations across healthcare, financial services, manufacturing, and retail — with automated pipeline conversion, output validation, and minimal downtime.Post-migration results: → 38% lower data handling costs → 71% better reporting accuracy → 80% faster document processingStart with a free assessment: www.kanerika.com/meet#Databricks #DataMigration #DataEngineering #LegacyModernization #Kanerika👉 Ready to migrate Databricks? 📞 See how Kanerika does it: https://kanerika.com/technology/databricks/?utm_source=youtube&utm_medium=video&utm_campaign=databricks_migration 1:29
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How to Move Your Enterprise Data Stack to Databricks

Kanerika Inc. June 11th

Staying on IBM DataStage has become a cost trap. Renewals keep coming, and there's no clean exit — because moving to cloud means moving your data warehouse at the same time, and most teams can't absorb that all at once.FLIP breaks that into two separate moves.First, your DataStage jobs get converted to Talend. FLIP parses the transformation logic automatically — about 80% runs without manual work. Your team reviews the output instead of rebuilding it. IBM licensing stops.Talend buys you time, not a permanent home. Qlik acquired it in 2023 and support windows are already shrinking. When you're ready for the second move, FLIP migrates your Talend environment to Microsoft Fabric — unified analytics, built-in AI, real-time processing, no forced cutover.You set the pace. FLIP handles the conversion.Book a free demo: https://www.kanerika.com/meet#IBMDataStage #DataMigration #MicrosoftFabric #Talend #FLIP #Kanerika #ETL #CloudMigration 1:51
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Migrating from IBM DataStage: Lower Costs, Cloud-Ready Infrastructure

Kanerika Inc. June 10th

Most data migrations stall. Not because of the technology, but because of everything built on top of it. Business logic buried in pipelines, reports stitched across vendors, years of SQL no one wants to rewrite manually.This video covers how Kanerika migrates enterprise data stacks to @MicrosoftFabric Microsoft Fabric, including BI tools, ETL platforms, Azure, and Synapse environments, using FLIP migration accelerators that automate the heavy lifting.No manual recoding. No months-long projects. Clients see 5x faster delivery at half the cost.Kanerika is a Microsoft Solutions Partner for Data and AI and a Microsoft Fabric Featured Partner, ranked in the top 1% of implementation partners globally.Ready to see what your Fabric migration looks like? Book a free assessment: https://www.kanerika.com/meet 1:38
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Why Enterprise Teams Are Migrating to Microsoft Fabric?

Kanerika Inc. June 1st

"Microsoft Fabric migration taking longer than planned? This video explains why enterprise Fabric migrations slip past their deadlines - and where AI acceleration actually cuts timeline versus where it doesn't help at all. Honest breakdown of AI-assisted migration based on real enterprise projects. 0:00 - Why Fabric Migrations Are Slipping Everywhere 2:00 - The 3 Phases Where Timeline Blows Up 5:00 - Where AI Acceleration Actually Helps 8:00 - Where AI Doesn't Help (Don't Believe the Hype) 11:00 - Parallel Run Phase: What It Actually Looks Like 14:00 - Realistic Timeline Expectations What you'll learn: - The 3 migration phases where timelines explode - Specific AI capabilities that save real engineering hours - What still requires manual engineering work - Parallel run testing strategies - How to set realistic stakeholder expectations Subscribe for weekly Microsoft Fabric migration content. #MicrosoftFabric #DataMigration #AIAutomation #DataPlatform #EnterpriseMigration" 1:55
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Microsoft Fabric Migration: Why Projects Slip and How AI Fixes It

Kanerika Inc. April 27th

Upgrade your data and RPA infrastructure with advanced Microsoft solutions. Kanerika's proprietary accelerators automate the migration, cutting time and effort.Migrations we automate: - Crystal Reports → Power BI - Cognos → Power BI - SSRS → Power BI - SSIS → Microsoft Fabric - SSAS → Microsoft Fabric - Azure → Microsoft Fabric - Synapse → Microsoft Fabric - UiPath → Power AutomateROI: - Up to 80% automation - Completed in weeks, not months - Zero data lossKanerika is a Microsoft Featured Fabric Partner and Solutions Partner for Data and AI.Talk to our migration team: https://kanerika.com/contact-us/#MicrosoftFabric #PowerBI #PowerAutomate #DataMigration #RPA 0:31
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Upgrade Your Data & RPA Infrastructure with Microsoft

Kanerika Inc. April 24th

0:00 Why Migrate from UiPath 0:17 Manual Migration Risks and Delays 0:27 How Flip Automates Conversion 0:40 Uploading UiPath Flows into Flip 0:58 Importing into Power Automate Desktop 1:15 Recap of Benefits 1:26 Talk to Kanerika ExpertsMigrate your UiPath automations to Microsoft Power Automate faster—without manual rebuilds. As UiPath scales, so do costs and complexity. Power Automate offers a simpler, more integrated path within the Microsoft ecosystem. But migration is often slow and risky—FLIP changes that by automatically converting UiPath workflows into ready-to-use Power Automate flows while preserving business logic.What you’ll see:- Why enterprises are moving to Power Automate - Automated conversion of UiPath XAML files using FLIP - Post-migration flow + detailed reportWhy FLIP:- Eliminates manual rebuilding of workflows - Maintains core business logic during migration - Provides full visibility with post-migration reports - Enables faster, more reliable transitionBook a free demo at https://kanerika.com/contact-us/ 1:42
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UiPath to Power Automate Migration Made Simple | End-to-End Automation

Kanerika Inc. April 7th

Learn how to activate the free 30-day trial of Karl. Kanerika’s AI data insights agent, directly inside Microsoft Fabric.Karl runs as a native Fabric workload, connects to your Lakehouse, and lets you ask data questions in plain language. No SQL. No delays. Get instant answers and visual insights in seconds.See how the trial activation works, what happens once it starts, and how you can begin querying your data immediately.Currently in preview. Free for 30 days from activation.👉 Activate your free trial and start using Karl on Microsoft Fabric today: https://app.fabric.microsoft.com/workloadhub/detail/kanerika.karl.Product?experience=power-bi 0:58
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Karl on Microsoft Fabric | Activate the Free 30-Day Trial

Kanerika Inc. March 2nd

Learn how to activate the free 30-day trial of the Azure to Fabric Migration Accelerator directly inside Microsoft Fabric.This native Fabric workload lets you migrate Azure Data Factory (ADF) and Synapse pipelines into Fabric-native formats — without leaving your workspace.See how the trial activation works, what happens once it starts, and how you can begin your Azure to Fabric migration immediately.Currently in preview. Free for 30 days from activation.👉 Start your Azure to Fabric migration today: https://app.fabric.microsoft.com/workloadhub/detail/kanerika.adftofdf.Product?experience=power-bi👉 Ready to migrate Azure to Microsoft Fabric? 📞 See how Kanerika does it: https://kanerika.com/services/migration/azure-to-fabric/?utm_source=youtube&utm_medium=video&utm_campaign=azure_to_fabric 0:45
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Azure to Fabric Migration | How to Activate the Free 30-Day Trial in Microsoft Fabric

Kanerika Inc. March 2nd

0:00 Alteryx to Fabric Migration Overview 0:35 Manual Migration Challenges 1:02 Live Demo: Migration in Flip 1:33 Recap of Key Takeaways 1:59 Contact Kanerika to Get Started📌 Overview Migrating Alteryx workflows to Microsoft Fabric manually drains weeks of engineering time and introduces significant risk. This demo shows how Kanerika's FLIP platform automates Alteryx to Microsoft Fabric migration, converting complex Alteryx workflows into deployment-ready Fabric dataflows in minutes while preserving every transformation and business rule. See the full end-to-end migration path — from source authentication and workspace selection to a native, production-ready Fabric pipeline — and understand why enterprises adopting cloud-first analytics are choosing Microsoft Fabric as their unified data engineering, real-time analytics, and BI platform.🎯 Key Takeaways • Why Microsoft Fabric is the ideal unified, cloud-native platform for enterprise analytics — combining data engineering, real-time analytics, and BI • How manual Alteryx-to-Fabric migration drains time, cost, and introduces re-engineering risk • How FLIP automatically analyzes Alteryx workflows and converts them into native Fabric dataflows • Live walkthrough: source connection, Microsoft Fabric authentication, workspace + transformation engine selection, and one-click conversion • Deployment-ready Fabric pipelines generated in minutes — no manual rebuild required📚 Related Kanerika Content • Related playlist: Alteryx to Microsoft Fabric Migration — https://www.youtube.com/playlist?list=PLMhOqLfHnDYA • More on the topic: https://kanerika.com/technology/microsoft-fabric/💼 About Kanerika Kanerika is a Microsoft Fabric partner and Alteryx migration specialist headquartered in Austin, TX (with delivery in India), helping enterprises modernize their analytics stack with automated, low-risk platform migrations. Our FLIP migration platform automates the conversion of legacy Alteryx workflows into production-ready Microsoft Fabric dataflows, eliminating the cost, time, and risk of manual rebuilding. We also partner with Databricks and Anthropic to deliver end-to-end enterprise AI and data solutions.🔔 Subscribe for weekly enterprise AI + data insights: https://www.youtube.com/channel/UCxVpHrbo6RFTm2mFa53Q9tw?sub_confirmation=1📞 Book a demo / talk to us: https://kanerika.com/contact/?utm_source=youtube&utm_medium=description&utm_campaign=MJjPos1ugwM🌐 https://kanerika.com | 💼 https://www.linkedin.com/company/kanerika/#MicrosoftFabric #Alteryx #DataMigration #FLIP #EnterpriseAnalytics #DataEngineering 2:12
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Migrate Alteryx Workflows to Microsoft Fabric in Minutes | Automated Workflow Conversion with FLIP

Kanerika Inc. January 8th

Pre-Migration Utility

Leaders Speak

"We've relied on Azure Data Factory and Synapse for years, but analytics and AI demands are outgrowing these platforms," says Bhupendra Chopra, CRO at Kanerika.Your current setup worked fine when data was simpler. Now you need something faster, smarter, and more unified. Microsoft Fabric's Data Factory delivers exactly that - combining pipelines, governance, and analytics in one AI-ready solution.But here's the problem: migration usually means months of rework, broken connections, and frustrated teams.In this video, Bhupendra shows how Kanerika's Azure to Fabric Migration Accelerator eliminates that pain.👉 Ready to migrate Azure to Microsoft Fabric? 📞 See how Kanerika does it: https://kanerika.com/services/migration/azure-to-fabric/?utm_source=youtube&utm_medium=video&utm_campaign=azure_to_fabric 0:58
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Azure to Fabric Migration: CRO Reveals How to Transform Migration Speed

237 views September 16th

Discover how ABX Innovative Packaging Solutions modernized their global pricing operations by shifting from manual Excel-based quotes to intelligent automation using Microsoft Power Automate.In this case study, see how our partnership helped ABX: ✅ Eliminate manual pricing errors ✅ Standardize workflows across multiple plants ✅ Gain real-time visibility and faster turnaround ✅ Scale operations efficientlyThis is a real example of how the right technology partner can drive measurable business impact across global manufacturing facilities.#DigitalTransformation #ProcessAutomation #PackagingIndustry #PowerAutomate #TechPartnership #BusinessInnovation #ABX #WorkflowAutomation #MicrosoftSolutions 1:08
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Kanerika Success Story: How We Helped ABX Transform Global Pricing Workflows

20 views August 6th

Power BI Copilot's Ask Anything feature promises natural language analytics. But where does it actually work, where does it fail, and what semantic model setup determines success? This honest review shows you everything. 0:00 - Power BI Copilot Ask Anything Overview 2:00 - What It Handles Well 4:00 - Where It Fails (And Why) 6:00 - Semantic Model Setup That Determines Success 8:00 - When to Fall Back to DAX 10:00 - Is It Worth Enabling? What you'll learn: - What Power BI Copilot Ask Anything actually handles - Specific failure patterns and workarounds - Semantic model configuration for best results - When manual DAX still beats Copilot - Setup recommendations for your team Subscribe for weekly Power BI tips and reviews. #PowerBICopilot #PowerBI #CopilotReview #BusinessIntelligence #AIAnalytics 0:41
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Power BI Copilot Review 2026: What Works, What Fails, What to Skip

35 views July 23rd

Data breaches are increasing, and protecting your sensitive information has never been more important.Bhupendra Chopra, our Chief Revenue Officer, explains how KANGuard ensures your data stays secure and private.How KANGuard Protects Your Data:✅ Enforces DLP Policies to block unauthorized access and leaks. ✅ Classifies & Labels Data within Microsoft 365 for easy management. ✅ Stops Leaks before they occur, safeguarding critical information. ✅ Prevents Unauthorized Access to ensure only authorized users can view your data. ✅ Automates Data Security to reduce manual effort and enhance protection.Want to safeguard your data? contact us now: https://kanerika.com/contact-us/#KANGuard #DataProtection #DLP #Microsoft365 #DataSecurity #Kanerika #CyberSecurity #BusinessIntelligence #DataGovernance #CloudSecurity 0:48
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How KANGuard Secures Your Data | Prevent Leaks & Unauthorized Access with DLP Policies

26 views July 15th

Integrating Microsoft Purview with Databricks? These 4 setup steps trip most teams. This guide covers Purview-to-Unity Catalog connection, lineage capture across platforms, sensitivity label propagation, and access policy alignment. 0:00 - Why Purview + Databricks Integration Is Tricky 1:30 - Step 1: Purview to Unity Catalog Connection 3:00 - Step 2: Cross-Platform Lineage Capture 4:30 - Step 3: Sensitivity Label Propagation 6:00 - Step 4: Access Policy Alignment 7:30 - Setup Verification Checklist What you'll learn: - Purview to Databricks Unity Catalog connection setup - Cross-platform lineage capture configuration - Sensitivity label propagation between platforms - Access policy alignment methodology - Verification checklist for successful integration Subscribe for weekly data governance and platform integration content. #MicrosoftPurview #Databricks #DataGovernance #UnityCatalog #DataLineage 0:40
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Microsoft Purview + Databricks Integration: 4 Setup Mistakes to Avoid

51 views July 7th

"Migrating from Tableau to Power BI in 2026? This step-by-step guide covers everything - workbook inventory, LOD-to-DAX conversion patterns, visual equivalents, dataset architecture, and the licensing math that determines your ROI. Based on real enterprise migrations, including the things that break and how to fix them. 0:00 - Why Companies Are Moving from Tableau to Power BI 2:00 - Workbook Inventory and Complexity Scoring 4:00 - LOD Expressions to DAX Measure Patterns 7:00 - Visual Equivalents: What Converts and What Doesn't 10:00 - Dataset Architecture in Power BI 13:00 - Licensing and Cost Comparison 16:00 - Common Breakage Points and Fixes 18:00 - Migration Timeline Estimator What you'll learn: - Workbook complexity scoring for timeline estimation - LOD expression to DAX conversion patterns - Visual types that don't have Power BI equivalents - Dataset architecture decisions for Power BI - Realistic cost comparison including licensing Subscribe for weekly BI migration and Power BI content. #TableauToPowerBI #PowerBI #Tableau #BIMigration #DataAnalytics"👉 Ready to migrate from Tableau to Power BI? 📞 See how Kanerika does it: https://kanerika.com/services/migration/tableau-to-power-bi/?utm_source=youtube&utm_medium=video&utm_campaign=tableau_to_power_bi 0:34
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Tableau to Power BI Migration: Complete Step-by-Step Guide (2026)

31 views June 29th

Important Update for Microsoft Users! 🔔Starting January 2025, Microsoft will no longer renew enterprise agreements for mid-sized companies (500-2400 users). This significant change means you’ll need to switch to the Cloud Solution Provider (CSP) model.Our Co-founder and CRO, Bhupendra Chopra, explains why this shift matters and how we can help you navigate the transition smoothly, strategically, and cost-effectively.Don’t get caught off guard! Watch the video to learn how we can help you adapt and make the most of your Microsoft investment.👉 Want to know more? Let’s talk! Contact us today to start your transition : https://kanerika.com/contact-us/ 0:50
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Microsoft Enterprise Agreement Explained in Simple Terms

83 views June 27th

At Google Cloud Next 2025, Google unveiled the Agent-to-Agent (A2A) protocol — a breakthrough that lets AI agents communicate and share tasks across platforms independently.In this video, Bhupendra Chopra explains why A2A is a game changer for businesses, helping break down silos, streamline workflows, and scale AI systems faster.Discover how this new AI shift can transform your business operations and enable smarter, more efficient automation.Watch now and learn more! 0:42
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Google’s A2A Protocol: How AI Agents Collaborate Without Humans

37 views June 3rd

Discover how Databricks’ Data Intelligence Platform helps businesses move from scattered data to smart decisions. Built on a flexible lakehouse architecture, it unifies data, AI, and governance—empowering teams with faster insights, seamless workflows, and real results.Watch how organizations are simplifying complexity and driving efficiency with Databricks. 📊 Ready to transform your data strategy? Let’s talk: https://kanerika.com/contact-us/#Databricks #DataIntelligence #Lakehouse #EnterpriseAI #AIinBusiness #DataAnalytics #Kanerika #CloudData #BusinessIntelligence 0:41
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Why Databricks’ Data Intelligence Platform Is a Game-Changer for Modern Businesses

28 views May 28th

AI Agents

HR teams lose hours searching through policies, handbooks, emails, and outdated documents to answer urgent employee questions. KlarityIQ helps reduce that effort by turning scattered HR knowledge into fast, cited answers.Kanerika’s document intelligence AI agent connects with HR knowledge sources and retrieves clear responses from policies, handbooks, PDFs, Word files, and other internal documents. Employees can ask questions in natural language and get trusted answers with source citations.See how KlarityIQ helps HR teams save time, reduce compliance risk, and respond faster.Book a free demo: [www.kanerika.com/meet](http://www.kanerika.com/meet)#KlarityIQ #DocumentIntelligence #HRTech #Compliance #AIAgent #Kanerika 1:22
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Automating HR Knowledge Search with KlarityIQ

Kanerika Inc. June 16th

Teams lose hours every day searching across files, folders, databases, and documents. KlarityIQ helps enterprises cut that search time by turning scattered knowledge into fast, cited answers.Kanerika’s document intelligence AI agent connects with corporate knowledge sources and retrieves answers from PDFs, Word files, presentations, images, and videos. It supports multilingual search, cross-document comparison, source citations, chart extraction, video timestamp search, and web search when internal documents do not have the answer.See how KlarityIQ helps teams ask questions in natural language and get clear, trusted answers without digging through files manually.Book a free demo: www.kanerika.com/meet#KlarityIQ #DocumentIntelligence #AIAgent #EnterpriseAI #Kanerika 1:54
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KlarityIQ: Kanerika's Document Intelligence AI Agent

Kanerika Inc. June 15th

Meet Klara, Kanerika's AI Compliance and Document Intelligence Assistant. Klara reads contracts, SOWs, and engagement letters against your governance playbook.She flags clause-level deviations on termination, indemnity, audit rights, and data ownership, surfaces the original language, and proposes a precise fix. The reviewer accepts or overrides. AI-assisted review, with the reviewer in command.In this video, watch Klara flag a termination clause in a sample SOW, compare it against the governance playbook, and recommend a compliant replacement in seconds.What Klara does: . Clause-level deviation detection against your governance rules . Side-by-side view of original language and proposed fix . AI-assisted review with the reviewer always in command . Automated routine document corrections (headers, footers, page numbering, table of contents) . One workflow today, more tomorrow: vendor invoice processing, engagement reviews, records classification, IT change approvalsBuilt for legal, compliance, procurement, and operations teams in financial services, professional services, manufacturing, and any enterprise where documents drive the business.About Kanerika Kanerika is a Top 1% Microsoft Data and AI partner. We build production-ready AI agents that ship in weeks, not quarters. 534+ enterprise projects. ISO 9001, 27001, ISO 27701, and SOC 2 certified.See Klara on your own workflow: kanerika.com/meet#AIAgent #ContractReviewAI #DocumentIntelligence #EnterpriseAI #Kanerika 1:52
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Klara- Compliance Agent I the AI Agent to Enforce Your Governance Playbook I Kanerika

Kanerika Inc. May 1st

Learn how to run your daily Scrum meetings using our AI Scrum Master Agent — Jarvis. This step-by-step tutorial shows how to set up, schedule, and run automated Scrum meetings using Azure DevOps and Microsoft Teams.In this video, you’ll learn:How to log in and connect your Azure DevOps account How to generate and use a personal access token How to schedule daily Scrum meetings with your team How Jarvis runs the meeting, tracks attendance, and collects updates How AI generates Scrum summaries automaticallyJarvis helps teams save time, stay organized, and run efficient standups without manual effort.If you're using Agile or Scrum, this AI tool can simplify your workflow. 2:43
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How to Set Up Kanerika's AI Scrum Master Agent Jarvis

Kanerika Inc. March 23rd

This demo shows how Karl, an AI-powered insights agent from Kanerika, helps finance teams analyze data without SQL or technical setup.In this video, we walk through real FP&A scenarios: ✅ Identifying top customers by revenue and product category ✅ Tracking year-over-year growth trends across accounts ✅ Spotting regional growth patterns (even in declining markets) ✅ Surfacing clients with revenue declines for proactive risk managementKarl delivers instant answers to business questions with no dashboards, no waiting on IT, no manual reporting.Available as a Microsoft Fabric workload. Want to see Karl in action for your data? Contact us at : https://kanerika.com/contact-us/#KarlAI #FPAInsights #MicrosoftFabric #AIAgent #FinancialPlanning #DataAnalytics #Kanerika 2:20
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How Karl Turns Financial Data into Insights in Seconds | AI-Powered FP&A Analysis

Kanerika Inc. March 11th

Most customer support teams waste hours every day just finding information. Associates jump between CRM, ticketing systems, spreadsheets, and order history just to answer basic questions.Meanwhile, tickets pile up. Half are repetitive. Response times suffer.This video shows how Kanerika's autonomous AI agent fixes that problem.What you'll see: ✅ Why manual data lookup kills productivity in customer support ✅ AI agents that pull customer context and draft responses before you open the ticket ✅ Real Zendesk deployment: auto-classification, noise filtering, and instant response generation ✅ How the same system works for finance, procurement, and HR operationsReady to automate your support operations or deploy your next AI agent? Contact us: https://kanerika.com/contact-us/#AIagents #CustomerSupport #ZendeskAutomation #CSMAutomation #ArtificialIntelligence #SupportAutomation #CustomerExperience #BusinessAutomation #AIforBusiness #Kanerika 2:14
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AI Agent for CSM I Autonomous Agent for Customer Service Workflow I Kanerika

Kanerika Inc. February 23rd

0:00 Meet Carl, AI Retail Insights Agent 0:14 The Retail Blind Spot Problem 0:29 Live Demo: Sales And Store Performance 0:52 Traffic, Conversion, And Top Stores 1:10 Inventory Insights: Basket Size And Dead Stock 1:31 Turnover Trends And Unified Data📌 Overview Retail insights shouldn't take a week — or a data team — to produce. Karl is Kanerika's AI-powered retail insights agent, built as a Microsoft Fabric workload, that turns natural-language questions into instant answers on sales, store performance, traffic-to-conversion, basket size, dead stock, and inventory turnover. In this live demo, watch Karl connect directly to retail databases and surface trailing-12-month sales, best- and worst-performing stores in 2024, conversion leaders, and the slowest-moving SKUs — all in seconds, without a single dashboard build. If your retail organization is losing up to 20% of potential sales to poor demand forecasting, misplaced inventory, and low conversion, this is what an AI agent on Microsoft Fabric can do about it.🎯 Key Takeaways • Karl is an AI retail insights agent that runs natively as a Microsoft Fabric workload — no separate BI stack required. • Ask plain-English questions (total sales, top and bottom stores, traffic vs. conversion, top 5 by conversion rate) and get instant answers. • Inventory intelligence built in: average basket size for top stores, slowest-moving products (dead stock), and full-year turnover trends. • Unifies sales, store traffic, and inventory data into a single decision layer — replacing static dashboards with conversational analytics. • Designed for retail leaders who need to act on demand, markdowns, and store operations in hours, not weeks.📚 Related Kanerika Content • Related playlist: Kanerika's AI Agents — https://www.youtube.com/playlist?list=PLU2Yp0XoEB6bXOSHUKs3KD49YBWqatflQ • More on the topic: https://kanerika.com/technology/microsoft-fabric/💼 About Kanerika Kanerika is an enterprise AI and data solutions company headquartered in Austin, TX, with delivery in India. As a Microsoft Solutions Partner for Microsoft Fabric and a Databricks and Anthropic partner, we build production-grade AI agents — like Karl for retail insights — that plug directly into the modern data stack. Our team ships domain-specific agents that turn unified data into faster decisions across retail, BFSI, healthcare, and manufacturing.🔔 Subscribe for weekly enterprise AI + data insights: https://www.youtube.com/channel/UCxVpHrbo6RFTm2mFa53Q9tw?sub_confirmation=1📞 Book a demo / talk to us: https://kanerika.com/contact/?utm_source=youtube&utm_medium=description&utm_campaign=WcJM2QJElJQ🌐 https://kanerika.com | 💼 https://www.linkedin.com/company/kanerika/#MicrosoftFabric #RetailAI #AIAgents #DataAnalytics #EnterpriseAI #Kanerika 1:53
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Karl: Instant Retail Insights With AI

Kanerika Inc. January 2nd

Pharma teams lose huge amounts of time digging through reports instead of getting straight answers. When it takes hours to check sales shifts, margin leaks, or patient trends, key calls get pushed back and problems grow.This video shows how Karl fixes that. You’ll see how a simple chat with Karl gives you answers in seconds that would normally take days. If you work in pharma and want faster insight with less effort, this demo is worth your time.In this demo, you’ll see Karl respond to core pharma questions in seconds: ✅ Net sales, gross sales, and total adjustments ✅ Month-by-month sales trends ✅ Fast root cause checks for dips or spikes ✅ Product ranking by net margin ✅ Account-level insights to spot behavior changes earlyKarl plugs into your current data stack. It runs on-prem or on cloud platforms like Microsoft Fabric, Databricks, and Snowflake.Pharma teams get what they need fast. Clear insight. Better timing. Stronger decisions.👉 Explore Karl today: www.kanerika.com/meet#PharmaAI #DataAnalytics #LifeSciences #PharmaTech #Kanerika 2:40
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Karl: Data Insights AI Agent for Pharma

Kanerika Inc. December 8th

Jarvis is an AI Scrum Master that handles daily calls, meeting notes, task updates and follow ups. If you’re tired of slow stand ups, late notes and messy sprint work, this demo shows how Jarvis removes that load and keeps the team steady.In this video you will learn how Jarvis helps you: ✅ Run Daily Stand ups with clean notes, quick checks and real updates ✅ Keep Sprint Planning sharp with live changes in Azure DevOps ✅ Stay on top of backlog work, reviews and retros without extra effort ✅ Keep your team aligned through Teams, Outlook and DevOpsWant to try it. Tell us your use case and we will set up a free demo for your team, contact us : https://kanerika.com/contact-us/#JarvisAIScrumMaster #Agile #Scrum #DailyStandup #SprintPlanning #AzureDevOps #MicrosoftTeams #AIProductivity #ProjectManagement #TeamEfficiency 4:35
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Jarvis AI Scrum Master Transforming Agile Teams Explained

Kanerika Inc. November 19th

AI, Analytics & Automation

Better AI models still fail when they lack business context.This video covers:• Why Snowflake renamed Cortex Code to CoCo • How CoCo uses live schema, lineage, and access controls • What Cloud Agents and Automations add • Why clean, governed data still decides output qualityKanerika helps Snowflake teams build the data foundation AI coding agents depend on.Talk to our Snowflake experts: [www.kanerika.com/meet](http://www.kanerika.com/meet)#SnowflakeCoCo #SnowflakeSummit #CortexCode #SnowflakeAI #AgenticAI #DataEngineering #DataGovernance #EnterpriseAI #KanerikaSnowflake CoCo, Cortex Code, Snowflake Summit 2026, AI coding agent, data governance, enterprise AI, Kanerika 1:51
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Snowflake CoCo: Context-Aware AI for Data Teams

Kanerika Inc. July 11th

Most data modernization projects do not stall because of the tech.They stall because the proof of concept, migration, and early usage costs hit before business value is proven.Databricks Customer Investment Fund helps reduce that starting risk by supporting eligible enterprises with funding for POCs, migration, and early consumption.Kanerika helps teams qualify, plan, and execute Databricks projects so the funding turns into real progress.Talk to us: kanerika.com/meet#Databricks #DCIF #DataModernization #EnterpriseAI #DataEngineering #CloudMigration #DataStrategy #AIInfrastructure #DatabricksPartner #Kanerika 1:34
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How DCIF Reduces Data Modernization Costs

Kanerika Inc. July 5th

0:00 Databricks Genie ZeroOps Introduced 0:10 Cost of Keeping Pipelines Running 0:21 How the AI Agent Works 0:43 Value: Less Downtime, More Delivery 0:55 Three Things to Watch Before Committing 1:26 Pilot Carefully, Judge on NumbersDatabricks introduced Genie ZeroOps to reduce one of the biggest costs in enterprise data: keeping production systems running.ZeroOps is built to detect pipeline failures, trace root causes, propose fixes, and test them in an isolated setup before a human approves the change. The value is clear, less downtime and less recovery work for senior data engineers.But enterprises should pilot it carefully. Usage cost, ownership of AI-written fixes, and platform dependence all need clear answers before full rollout.Kanerika helps data teams assess autonomous operations use cases and build the right control model around them.Talk to us: www.kanerika.com/meet#Databricks #GenieZeroOps #DataAISummit #DataOps #AIOps #DataEngineering #EnterpriseAI #PipelineAutomation #Kanerika 1:49
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Databricks Genie ZeroOps: AI That Fixes Broken Pipelines

Kanerika Inc. June 21st

0:00 Databricks Announces Genie Ontology 0:15 Microsoft and Snowflake Ship Similar Layers 0:32 Why AI Guesses Without Business Context 1:01 Caveat: Garbage In, Garbage Out 1:12 Vendor Lock-In Risk and Where to Learn MoreDatabricks announced Genie Ontology at its Data and AI Summit. It adds a business context layer so AI can understand what key terms mean, which source to trust, and which metric definition matters.This shift is bigger than Databricks. Microsoft Fabric IQ and Snowflake’s context layer point to the same direction: enterprise AI needs more than models. It needs trusted business meaning behind the data.But the warning is clear. Context layers only work well when the data is already clean. And the more your business logic sits inside one platform, the more serious the lock-in question becomes.Kanerika helps enterprises plan data and AI strategy across platforms without losing control of governance, quality, and cost.Talk to us at [www.kanerika.com/meet](http://www.kanerika.com/meet)#Databricks #GenieOntology #FabricIQ #Snowflake #DataAISummit #EnterpriseAI #AIstrategy #DataGovernance #TrustedAI #Kanerika 1:35
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Databricks Genie Ontology | Business Context for Trusted AI

Kanerika Inc. June 20th

Databricks announced LTAP, Lake Transactional and Analytical Processing, at its Data and AI Summit. The idea is simple: bring transactional and analytical workloads closer through a single storage layer.For enterprises, this matters because AI agents need live and historical data at the same time. Old data stacks were built around separate systems, copied data, and pipelines. LTAP points to a cleaner model for AI-ready data infrastructure.Kanerika helps enterprises assess what changes like LTAP mean for their current data stack, platform choices, and AI roadmap.Talk to us: www.kanerika.com/meet#Databricks #DataAISummit #LTAP #DataEngineering #EnterpriseAI #AIagents #Lakehouse #DataInfrastructure #Kanerika 1:24
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Databricks LTAP: One Data Layer for AI Agents

Kanerika Inc. June 19th

Most AI agent projects fail. Not because AI is broken, but because the basics are missing.Automation is weak. Data is messy. Workflows break.In this video, we explain why AI agents cannot work without clean data and solid automation, and how Kanerika helps companies fix the foundation before scaling AI.Contact Kanerika at www.kanerika.com/meet 1:34
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Why Do AI Agents Fail Without Automation and Clean Data?

Kanerika Inc. February 2nd

Building agentic AI systems? Most pilots die before reaching production. This guide covers the architecture patterns, framework selection (LangGraph, AutoGen, custom), observability requirements, and the production readiness checklist that separates pilots from products. 0:00 - Why Agentic AI Pilots Fail 2:00 - Architecture Patterns for Production 4:00 - Framework Selection: LangGraph vs AutoGen vs Custom 6:00 - Tool Integration Patterns 8:00 - Observability and Tracing Requirements 10:00 - Human-in-the-Loop Checkpoints 12:00 - Production Readiness Checklist What you'll learn: - Why most agentic AI pilots fail before production - Architecture patterns that scale to production - Framework comparison with honest trade-offs - Observability and tracing setup - Production readiness checklist Subscribe for weekly agentic AI and AI engineering content. #AgenticAI #AIAgents #LangGraph #AutoGen #AIEngineering 1:53
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Agentic AI: Why Most Pilots Fail and How to Fix It (2026 Guide)

Kanerika Inc. November 11th

Generative AI vs Predictive AI - what's the actual difference and when should you use each one? This video explains the math behind both approaches, real use cases worth deploying, and when each type wastes budget. 0:00 - Generative AI vs Predictive AI: The Real Difference 2:00 - How Generative AI Works (Simplified) 3:30 - How Predictive AI Works (Simplified) 5:00 - Generative AI Use Cases Worth Deploying 7:00 - Predictive AI Use Cases Still Winning 9:00 - When Each One Wastes Budget 11:00 - Hybrid Patterns That Need Both 13:00 - Decision Framework What you'll learn: - The fundamental difference (math, not marketing) - Generative AI use cases that deliver ROI - Predictive AI use cases that still outperform GenAI - Where budget gets wasted on the wrong approach - Hybrid patterns that combine both effectively Subscribe for weekly AI strategy and comparison content. #GenerativeAI #PredictiveAI #AIComparison #AIStrategy #MachineLearning 1:32
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Generative AI vs Predictive AI: When to Use Each One (Explained)

Kanerika Inc. October 15th

Big AI models get all the attention, but did you know most real-world deployments now run on small language models (SLMs)?In this video, I’ll break down:Why SLMs are powering the majority of AI in 2025The big advantages over cloud-based LLMsReal examples of how companies use them todayIf you’ve heard of tools like Microsoft Phi-4, Google Gemma, or Meta Llama 3.2 but aren’t sure what makes them different — this is for you.👉 Watch until the end to see how businesses cut costs and gain more control with local AI.#AI2025 #SmallLanguageModels #AITrends 1:26
YouTube Video UExVMllwMFhvRUI2YjJkbm9ZaFVrR1E2eVFyTnZOY3NLWC4wOTA3OTZBNzVEMTUzOTMy

Small AI Models, Big Power: Why They Matter in 2025

Kanerika Inc. September 24th

$1.2M

Average Annual Cost Savings in Logistics Operations

50%

Faster Time-to-market for Fintech and Healthtech products

28%

Boost in Customer Retention in Retail and E-commerce

30%

Reduction in Project Timelines for Pharmaceutical Firms
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