call/text us now

+1 (855) 6-KANERI

Contact Us
Video Hub

Visual Insights: Our Solutions at Work

Case Studies

A business ontology on Microsoft Fabric gave a global pharmaceutical enterprise one governed definition for every KPI, shared across dashboards, business units and AI copilots.The problem was a familiar one. The same KPI meant different things in different dashboards. Leaders had plenty of data and very little confidence in the answers.What was going wrong:• KPI definitions and business rules were embedded inside individual Power BI dashboards, so the same metric returned inconsistent results depending on where you looked • Cross-domain questions took days of manual reconciliation while teams traced logic across reports and systems • AI and Copilot experiences could not deliver reliable answers, because there was no governed business layer behind themWhat Kanerika built:• A governed business ontology on Microsoft Fabric, acting as one trusted layer for KPI definitions, relationships and reporting logic across business users, Power BI reports and AI copilots • More than 85 KPI definitions and business rules centralized into that ontology, so every report and query runs on the same logic • More than 40 entities and relationships modeled across key business domains, making cross-functional analysis faster and better connected • The ontology linked to governed data in OneLake, cutting the dependency on dashboard-level logic and manual reconciliation • The same semantic layer extended to Fabric AI and Copilot, enabling trusted conversational analyticsThe result:• 70% reduction in investigation and reconciliation time • 100% consistent KPI logic across both reporting and Copilot-driven analyticsIf your teams spend more time reconciling metrics than acting on insights, it is time to govern KPIs at the business layer rather than inside individual dashboards.Talk to us about building a trusted ontology on Microsoft Fabric: https://kanerika.com/contact-us/🔔 Subscribe for more enterprise data and AI insights: https://www.youtube.com/@kanerikainc#MicrosoftFabric #BusinessOntology #SemanticLayer #DataGovernance #PowerBI #OneLake #Copilot #PharmaAnalytics 2:22Business Ontology on Microsoft Fabric: Global Pharma Case Study

Business Ontology on Microsoft Fabric: Global Pharma Case Study

views September 3, 2026 6:51 am

Order lead time analytics on Microsoft Fabric gave a global HVAC manufacturer its first reliable end-to-end view of the order journey, from lead through to delivery.The company builds thermal management and heat transfer solutions. Its order process ran across three disconnected SAP systems, so quotes, approvals and deliveries never came together in one record anyone could trust.What was going wrong:• Three disconnected SAP systems, with no single reliable record of the order journey • Lead time tracked manually across six stages, making it hard to see where orders were slowing down or getting stuck • Data pulled and reconciled every cycle, which delayed reporting and left teams working from mismatched numbersWhat Kanerika built:• A governed Microsoft Fabric pipeline bringing data from all three SAP systems into one structured foundation • A dedicated bridge connecting opportunities, quotes and orders, so the business could follow one continuous lead-to-delivery journey • A self-updating Power BI dashboard in place of manual data pulls, giving teams more than 50 standardized KPIs and one consistent view of performanceThe impact:• 60% drop in reporting effort • More than 35 source tables connected across the order life cycle • More than 50 governed KPIs supporting consistent order performance tracking • Full visibility of the order journey from lead to delivery, with delays spotted earlier and decisions made from one trusted viewWant the same visibility across your order life cycle? Talk to us about Microsoft Fabric analytics: https://kanerika.com/contact-us/🔔 Subscribe for more enterprise data and AI transformation stories: https://www.youtube.com/@kanerikainc#MicrosoftFabric #SAP #OrderManagement #ManufacturingAnalytics #PowerBI #LeadTime #SupplyChain #DataEngineering 2:04Microsoft Fabric Case Study: Order Lead Time Analytics for Manufacturing

Microsoft Fabric Case Study: Order Lead Time Analytics for Manufacturing

views September 1, 2026 10:35 am

How can global enterprises scale invoice processing without increasing accounts payable costs?This invoice processing automation case study shows how Kanerika helped a global travel management company automate thousands of monthly invoices across hotels, transfers, and car rentals.The company was facing high invoice volumes, manual reconciliation, delayed approvals, fragmented document tracking, and limited visibility into invoice status and audit readiness.You’ll learn:- How automated invoice intake captures invoices directly from vendor emails - How OCR and AI extract key invoice information with less manual intervention - How rule-based validation checks invoice data before downstream processing - How automated workflows improve invoice reconciliation and approvals - How audit trails provide complete invoice lifecycle traceability - How the solution supports higher invoice volumes without increasing costs - How the company achieved an 80% reduction in manual invoice processing - How invoice lifecycle traceability reached 100% - How invoice handling capacity increased 4x without added costBy automating invoice processing from intake through downstream financial systems, the company improved operational efficiency, strengthened controls, and scaled its accounts payable operations.Ready to improve your accounts payable process? Talk to Kanerika about intelligent invoice automation: https://kanerika.com/contact-us/Subscribe for more case studies on AI automation, intelligent document processing, accounts payable automation, and enterprise data solutions.🔔 Subscribe for more enterprise data and AI insights: https://www.youtube.com/@kanerikainc#InvoiceAutomation #AccountsPayable #AIAutomation #InvoiceProcessing #IntelligentAutomation #CaseStudy #TravelIndustry #Kanerika 1:47Invoice Processing Automation Case Study: 80% Less Manual Work

Invoice Processing Automation Case Study: 80% Less Manual Work

views August 20, 2026 7:02 am

How do you scale product engineering quickly while navigating private equity ownership, a major merger, and rising modernization demands?This case study shows how Kanerika helped a global logistics spend management and freight audit leader expand engineering capacity while maintaining platform stability and customer commitments through an M&A transition.Key takeaways: - How the client faced modernization demands under new private equity ownership - The engineering challenges created by a merger with a similarly sized competitor - Why limited engineering capacity was slowing modernization initiatives - How Kanerika built a 35-member engineering team within the first 90 days - How the team owned product engineering delivery and platform stability from day one - How two acquired businesses were integrated without disrupting customer commitments - How the engineering team scaled from 35 to 140 members over time - How a flexible cost model helped increase capacity without adding long-term fixed overhead - How the engagement delivered 40% lower development costs - How the client achieved 25% faster time to market - How platform reliability was maintained through critical M&A transitionsKanerika provides dedicated product engineering teams that help enterprises scale engineering capacity, accelerate modernization, and maintain delivery momentum through complex business transitions.If your engineering team is stretched thin, let's talk: https://kanerika.com/contact-us/Subscribe for more enterprise technology case studies and insights.🔔 Subscribe for more enterprise data and AI insights: https://www.youtube.com/@kanerikainc#ProductEngineering #DedicatedEngineeringTeam #EngineeringTeam #FreightAudit #MergerIntegration #MergersAndAcquisitions #DigitalTransformation #CaseStudy #Kanerika 1:39Dedicated Engineering Team Case Study: Scaling Through a PE-Backed Merger

Dedicated Engineering Team Case Study: Scaling Through a PE-Backed Merger

views August 6, 2026 12:22 pm

Slow reporting was costing FoodPharma speed, agility, and growth. Partnering with Kanerika, this leading US contract manufacturer of functional food products modernized its data foundation on Microsoft Fabric — cutting reporting time from 2 business days to about 90 minutes and saving the BI team nearly 15 hours every week. The results were significant enough to be featured in an official Microsoft customer success story.🔔 Subscribe: https://www.youtube.com/@kanerikainc📞 Talk to Kanerika about modernizing enterprise reporting on Microsoft Fabric: https://kanerika.com/contact-us/#MicrosoftFabric #DataModernization #BusinessIntelligence #DataAnalytics #CustomerSuccessStory 1:02Microsoft Fabric Case Study: FoodPharma Cuts Reporting to 90 Minutes

Microsoft Fabric Case Study: FoodPharma Cuts Reporting to 90 Minutes

views June 15, 2026 7:18 am

A global leader in interconnect solutions was stuck on legacy QlikView — heavy manual scripting, days-old distributor data, and multi-day waits for every report change. See how Kanerika migrated them to real-time Power BI analytics on Microsoft Fabric, cutting manual reporting maintenance by 70%, speeding up data refresh cycles by 80%, and lowering infrastructure and licensing costs by 40%.This migration and the new real-time pipelines were built on FLIP, Kanerika's AI-powered DataOps platform: https://kanerika.com/product/flip/If your analytics stack is holding your team back, let's talk: https://kanerika.com/contact-us/🔔 Subscribe: https://www.youtube.com/@kanerikainc#PowerBI #QlikView #MicrosoftFabric #DataAnalytics #DataOps 1:41QlikView to Power BI Migration: 70% Less Manual Reporting

QlikView to Power BI Migration: 70% Less Manual Reporting

views June 3, 2026 1:12 pm

A leading payment technology company was managing brand guidelines across dozens of partners, agencies, and markets — scattered systems, manual searches, and every routine question routed to in-house experts. Kanerika built a conversational AI assistant with a unified brand knowledge base for instant, self-service answers. The result: brand compliance up 35%, approval turnaround down 60%, and manual effort per query cut by 70%.🔔 Subscribe: https://www.youtube.com/@kanerikainc?sub_confirmation=1#ConversationalAI #BrandCompliance #ApprovalWorkflow #AIAutomation #EnterpriseAI 1:47Enhancing Brand Compliance and Approval Workflows with Conversational AI

Enhancing Brand Compliance and Approval Workflows with Conversational AI

views May 18, 2026 8:45 am

A regulatory compliance firm serving financial institutions was drowning in fragmented workflows, manual controls mapping, and zero visibility across jurisdictions. See how Kanerika built an AI-powered, centralized compliance platform with AI-driven regulatory tracking, automated requirement mapping, and real-time dashboards — delivering 40% faster regulatory response, 60% less manual compliance work, and 5x better audit traceability.🔔 Subscribe: https://www.youtube.com/@kanerikainc?sub_confirmation=1#RegTech #ComplianceAutomation #AIinFinance #FinancialCompliance #DataAI 1:37Building an AI-Powered Compliance Platform That Scales Across Jurisdictions

Building an AI-Powered Compliance Platform That Scales Across Jurisdictions

views May 13, 2026 12:45 pm

See how Kanerika helped Fortegra, a leading insurance provider managing thousands of policies across multiple banking partners, fix slow, error-prone premium reconciliation. Using an intelligent automation framework built on UiPath and Python, manual bank statement downloads, unstructured data extraction, and manual premium updates were replaced with automated email monitoring, Python-based extraction and validation, and automated reconciliation — delivering an 85% reduction in reconciliation time, 99% accuracy in data extraction, and 100% elimination of manual updates.Facing similar bottlenecks in your finance operations? Let's talk: https://kanerika.com/contact-us/🔔 Subscribe: https://www.youtube.com/@kanerikainc?sub_confirmation=1#PremiumReconciliation #InsuranceAutomation #IntelligentAutomation #RPA #FortegraCaseStudy 1:39Data Accuracy in Premium Reconciliation with Automation for Fortegra | Kanerika's case study

Data Accuracy in Premium Reconciliation with Automation for Fortegra | Kanerika's case study

views April 14, 2026 2:02 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 1:30Automate Invoice Processing I FLIP I Kanerika's low-code/no-code Automation Platform

Automate Invoice Processing I FLIP I Kanerika's low-code/no-code Automation Platform

February 24, 2026 7:10 am

This video is private. Private video

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 2:40Karl: Data Insights AI Agent for Pharma

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 2:37AI-Powered Automated Data Reconciliation Solution for Alteryx Workflows

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 1:14Validate & Reconcile Data in Minutes with FLIP | Automated Data Reconciliation Solution

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 3:09Microsoft Fabric + Karl: Instant Retail Insights With AI

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 3:10Real-Time Manufacturing Insights with Karl in Microsoft Fabric | Plant Efficiency & Quality

Real-Time Manufacturing Insights with Karl in Microsoft Fabric | Plant Efficiency & Quality

September 25, 2025 6:21 am

This video is unavailable. Deleted video

Deleted video

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. 2:54Intelligent Data Cleanup in Snowflake | AI-Powered Lineage & Compliance Solution by Kanerika

Intelligent Data Cleanup in Snowflake | AI-Powered Lineage & Compliance Solution by Kanerika

September 16, 2025 6:38 am

MIGRATION

Most enterprise data stacks were built for reporting and batch jobs, not AI — and that's exactly where AI initiatives stall. Databricks fixes this by unifying data engineering, analytics, and ML in one platform, but migrating off legacy systems (like years of Informatica logic) is where most projects get stuck.Kanerika is a certified Databricks Consulting Partner. We've delivered migrations across healthcare, financial services, manufacturing, and retail — scanning existing pipelines, converting ETL logic to Spark-native workflows, and cutting over with minimal downtime. Start with a free assessment: https://kanerika.com/contact-us/🔔 Subscribe: https://www.youtube.com/@kanerikainc#Databricks #DataMigration #DataEngineering #EnterpriseAI #DataModernization 1:29Databricks Migration: Moving Enterprise Data Off Legacy ETL

Databricks Migration: Moving Enterprise Data Off Legacy ETL

Kanerika Inc. June 11th

Still running IBM DataStage and dreading the renewal? See how Kanerika's FLIP migrates you off DataStage in phases — first to Talend with ~80% of conversion automated, then to Microsoft Fabric on your own timeline — so you cut IBM licensing costs without forcing an all-at-once cloud migration.FLIP is Kanerika's AI-powered DataOps platform: https://kanerika.com/product/flip/🔔 Subscribe: https://www.youtube.com/@kanerikainc📞 Talk to Kanerika about migrating off IBM DataStage: https://kanerika.com/contact-us/#IBMDataStage #DataMigration #MicrosoftFabric #CloudMigration #DataOps 1:51IBM DataStage Migration: Cut Licensing Costs, Move to Fabric

IBM DataStage Migration: Cut Licensing Costs, Move to Fabric

Kanerika Inc. June 10th

Too many tools, too many handoffs, too many failure points — that's the enterprise data stack today. See why teams are consolidating onto Microsoft Fabric for data engineering, warehousing, real-time intelligence, and reporting in one platform, and what a fast, low-risk migration actually looks like.Kanerika is a Microsoft Solutions Partner for Data and AI and a Microsoft Fabric Featured Partner. Our FLIP platform (https://kanerika.com/product/flip/) includes migration accelerators that move BI tools, ETL pipelines, SQL workloads, Azure, and Synapse environments to Fabric without manual recoding. Get a free migration assessment: https://kanerika.com/contact-us/🔔 Subscribe: https://www.youtube.com/@kanerikainc#MicrosoftFabric #DataMigration #EnterpriseData #DataEngineering #AzureSynapse 1:38Microsoft Fabric Migration: Why Enterprises Are Consolidating

Microsoft Fabric Migration: Why Enterprises Are Consolidating

Kanerika Inc. June 1st

Enterprises running separate tools for data prep, storage, and reporting hit a wall when migrating to Microsoft Fabric — move one piece and the whole connected chain breaks. See how Flip scans a fragmented stack (Tableau, Alteryx, Informatica, Oracle), maps every workbook and workflow, and migrates it to Fabric pipelines and Power BI with formulas and logic intact.Flip is Kanerika's AI-powered DataOps platform behind this migration accelerator: https://kanerika.com/product/flip/🔔 Subscribe: https://www.youtube.com/@kanerikainc?sub_confirmation=1#MicrosoftFabric #DataMigration #PowerBI #DataOps #AI 1:55Microsoft Fabric Migration: Why Projects Slip and How AI Fixes It

Microsoft Fabric Migration: Why Projects Slip and How AI Fixes It

Kanerika Inc. April 27th

Ready to modernize your data and automation stack? See how Kanerika helps enterprises upgrade their data and RPA infrastructure with Microsoft technologies.🔔 Subscribe: https://www.youtube.com/@kanerikainc?sub_confirmation=1#DataInfrastructure #RPA #Microsoft #DataModernization 0:31Upgrade Your Data & RPA Infrastructure with Microsoft

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 Experts📌 Overview UiPath to Power Automate migration doesn't have to mean months of manual rebuilds, revalidation, and budget overruns. As UiPath licensing costs and governance complexity grow, more enterprises are moving RPA workloads into Microsoft Power Automate to stay closer to the tools their teams already use. Kanerika's FLIP platform automatically converts UiPath XAML workflows into ready-to-run Power Automate Desktop flows while preserving the underlying business logic, cutting migration time by up to 80%, manual effort by 70%, and cost by 50%. This demo walks through the full end-to-end conversion, from uploading UiPath flows into FLIP to importing the converted flows into Power Automate Desktop with a detailed post-migration report.🎯 Key Takeaways • Why enterprises are moving off UiPath into Microsoft Power Automate for lower TCO and tighter Microsoft 365 integration • How manual UiPath to Power Automate migration introduces months of rework, revalidation, and logic drift • How FLIP automatically converts UiPath XAML files into Power Automate Desktop flows while preserving business logic • Up to 80% faster migration, 70% less manual effort, and 50% lower migration cost with FLIP • Post-migration reports that show exactly what moved over, so QA and governance teams stay in control📚 Related Kanerika Content • Related playlist: UiPath to Power Automate Migration — https://www.youtube.com/playlist?list=PLRfWuW5E3wjo • More on the topic: https://kanerika.com/technology/uipath/💼 About Kanerika Kanerika is an enterprise AI and data solutions company headquartered in Austin, TX, and a Microsoft Solutions Partner specializing in UiPath, Power Automate, and RPA migration. Our proprietary FLIP migration platform automates the conversion of legacy UiPath, Alteryx, and Informatica workloads into modern Microsoft and Databricks environments, eliminating the manual rebuild tax that stalls most migration programs.🔔 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=E7C2nMLGIBg🌐 https://kanerika.com | 💼 https://www.linkedin.com/company/kanerika/#UiPath #PowerAutomate #RPAMigration #MicrosoftPowerAutomate #EnterpriseAutomation #FLIP 1:42UiPath to Power Automate Migration Made Simple | End-to-End Automation

UiPath to Power Automate Migration Made Simple | End-to-End Automation

Kanerika Inc. April 7th

Karl, Kanerika's AI data insights agent, now runs natively on Microsoft Fabric. Connect it to your existing lakehouse, ask questions in plain language about sales trends, costs, inventory, or budget variances, and get visualized answers in seconds — no SQL, no waiting on analysts. Setup takes minutes: find Karl under Workloads in your Fabric environment, add it to your workspace, and activate your free 30-day trial.Learn more about Karl: https://kanerika.com/product/karl/🔔 Subscribe: https://www.youtube.com/@kanerikainc?sub_confirmation=1#MicrosoftFabric #AIAgent #DataAnalytics #Kanerika #DataInsights 0:58Karl on Microsoft Fabric | Activate the Free 30-Day Trial

Karl on Microsoft Fabric | Activate the Free 30-Day Trial

Kanerika Inc. March 2nd

Migrate from Azure to Fabric without ever leaving your workspace. The Azure to Fabric migration accelerator runs as a native Microsoft Fabric workload — connect your existing ADF and Synapse pipelines, convert them to Fabric-native formats, and deploy, all from one place. It's free for 30 days from activation.Here's how to get started: go to Workloads in your Fabric environment, find the Azure to Fabric migration accelerator (currently in preview), enable it, and add it as a new item in your workspace. A trial screen appears — start it and your 30 days begin. Connect to your Azure environment and start migrating. You'll get a heads-up before the trial ends so nothing stalls mid-migration.🔔 Subscribe: https://www.youtube.com/@kanerikainc?sub_confirmation=1#MicrosoftFabric #AzureToFabric #DataMigration #ADF #Synapse 0:45Azure to Fabric Migration | How to Activate the Free 30-Day Trial in Microsoft Fabric

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 2:12Migrate Alteryx Workflows to Microsoft Fabric in Minutes | Automated Workflow Conversion with FLIP

Migrate Alteryx Workflows to Microsoft Fabric in Minutes | Automated Workflow Conversion with FLIP

Kanerika Inc. January 8th

Pre-Migration Utility

Leaders Speak

Slow reporting was costing FoodPharma speed, agility, and growth. Partnering with Kanerika, this leading US contract manufacturer of functional food products modernized its data foundation on Microsoft Fabric — cutting reporting time from 2 business days to about 90 minutes and saving the BI team nearly 15 hours every week. The results were significant enough to be featured in an official Microsoft customer success story.🔔 Subscribe: https://www.youtube.com/@kanerikainc📞 Talk to Kanerika about modernizing enterprise reporting on Microsoft Fabric: https://kanerika.com/contact-us/#MicrosoftFabric #DataModernization #BusinessIntelligence #DataAnalytics #CustomerSuccessStory 1:02Microsoft Fabric Case Study: FoodPharma Cuts Reporting to 90 Minutes

Microsoft Fabric Case Study: FoodPharma Cuts Reporting to 90 Minutes

views June 15th

Kanerika is now a Snowflake AI Data Cloud Select Tier partner. In this short, we break down what that upgrade means: deeper collaboration with Snowflake's engineering and partner teams, expanded access to Snowflake resources and technical support, and what it signals about our Snowflake expertise, technical depth, execution quality, and delivery capabilities for enterprise data and AI initiatives.Snowflake is part of the strong data foundations enterprises need for AI-driven operations and real-time intelligence — if it's part of your data strategy (or should be), let's talk: https://kanerika.com/contact-us/🔔 Subscribe: https://www.youtube.com/@kanerikainc?sub_confirmation=1#Snowflake #DataCloud #AI #DataStrategy #Kanerika 1:00Snowflake AI Data Cloud Partner Program: What Select Tier Means for You

Snowflake AI Data Cloud Partner Program: What Select Tier Means for You

views May 22nd

Kanerika is now a registered Databricks partner. Combining our AI strength with Databricks' data intelligence platform, we're helping enterprises get real-time insights, smarter applications, and zero data silos — for faster decisions and scalable innovation.🔔 Subscribe: https://www.youtube.com/channel/UCxVpHrbo6RFTm2mFa53Q9tw?sub_confirmation=1#Databricks #DataIntelligence #AIPartnership #EnterpriseData #Kanerika 0:37Why Databricks’ Platform Wins with 2025 Data Insights

Why Databricks’ Platform Wins with 2025 Data Insights

views September 11th

Snowflake or Microsoft Fabric — which one actually wins for AI? Snowflake is a mature, multicloud SQL warehouse, but getting to decisions still means stitching together a fragmented tool chain. Fabric brings engineering, real-time intelligence, Power BI, and governance into one lake with generally available data agents that reason across your entire data estate — no sprawl, no stitching.Kanerika is a top 1% Microsoft Fabric partner globally, helping enterprises architect the right data platform for AI. Talk to us: https://kanerika.com/contact-us/🔔 Subscribe: https://www.youtube.com/@kanerikainc?sub_confirmation=1#MicrosoftFabric #Snowflake #DataArchitecture #AI #DataAnalytics 1:14Snowflake vs. Microsoft Fabric — Which One Wins for AI & Data?

Snowflake vs. Microsoft Fabric — Which One Wins for AI & Data?

views April 13th

Fresh back from FabCon & SQLCon 2026 in Atlanta — 8,000 data leaders under one roof. Microsoft dropped big updates pushing Fabric beyond a data platform into a true intelligence layer: Database Hub (unified governance across every database engine, no migration needed), Fabric IQ (reasons with real business context), and Fabric Data Agents (AI that acts on what it finds, not just answers questions).It was a big moment for Kanerika too: our Azure-to-Fabric migration accelerator, powered by FLIP (https://kanerika.com/product/flip/), and Karl, our AI data insights agent (https://kanerika.com/product/karl/), are now live on Microsoft Fabric — plus we were featured in the Fabric Certification Spotlight with 100+ certified Fabric engineers on our team.🔔 Subscribe: https://www.youtube.com/@kanerikainc?sub_confirmation=1#MicrosoftFabric #FabCon2026 #FabricIQ #DataOps #AIAgents 1:48Inside FabCon 2026: Microsoft Fabric’s Future + Kanerika Innovations

Inside FabCon 2026: Microsoft Fabric’s Future + Kanerika Innovations

views March 27th

Big news from Kanerika: Karl, our conversational data insights AI agent, and our Azure-to-Fabric migration accelerator are now generally available as workloads on Microsoft Fabric — bringing instant analytics on Fabric Lakehouses and dramatically faster ADF/Synapse pipeline conversions. Explore both on the Azure Marketplace today — free trials available.Meet Karl, Kanerika's AI data insights agent: https://kanerika.com/product/karl/🔔 Subscribe: https://www.youtube.com/@kanerikainc?sub_confirmation=1#MicrosoftFabric #AzureMigration #AIAgent #DataAnalytics #Kanerika 0:57Kanerika on Microsoft Fabric: AI Insights with Karl + Faster Azure Migration

Kanerika on Microsoft Fabric: AI Insights with Karl + Faster Azure Migration

views March 17th

Microsoft Power BI turns raw data into real-time dashboards, AI-powered insights, and self-service analytics — natively connected across the Microsoft ecosystem, with DAX-powered data models, Copilot-generated reports, and built-in row-level security. See how Kanerika, a Microsoft Solutions Partner for Data and AI and certified Power BI delivery partner, handles end-to-end Power BI implementation and migration for enterprises.Kanerika's FLIP platform drives the AI-powered migration accelerator behind this work, cutting migration time by 70% while maintaining 99.9% data accuracy: https://kanerika.com/product/flip/🔔 Subscribe: https://www.youtube.com/@kanerikainc?sub_confirmation=1#PowerBI #MicrosoftPowerBI #DataAnalytics #BIMigration #MicrosoftFabric 1:58End-to-End Microsoft Power BI Implementation and Migration with Kanerika

End-to-End Microsoft Power BI Implementation and Migration with Kanerika

views March 13th

Microsoft Fabric unifies data engineering, data warehousing, data science, real-time intelligence, and BI in one platform — and 19,000+ organizations, including 74% of Fortune 500 companies, already trust it. Kanerika is a Microsoft Solutions Partner for Data and AI and a Microsoft Fabric featured partner, ranked in the top 1% of Microsoft implementation partners, with IP-led accelerators that deliver results 5x faster, cut costs up to 60%, and reduce resource needs by 50%.Learn more about Kanerika: https://kanerika.com/🔔 Subscribe: https://www.youtube.com/@kanerikainc?sub_confirmation=1#MicrosoftFabric #DataMigration #AIAnalytics #DataEngineering #Kanerika 1:52End-to-End Microsoft Fabric Implementation and Migration with Kanerika

End-to-End Microsoft Fabric Implementation and Migration with Kanerika

views February 27th

Fabcon 2026 is almost here, and Kanerika is bringing new Microsoft Fabric innovation straight to the show floor — including our AI data insights agent Karl for instant answers without dashboard hunting, plus an Azure-to-Fabric migration accelerator that moves entire pipelines into Fabric within weeks. Both are live in preview in Fabric now.Meet Karl, Kanerika's real-time data insights agent: https://kanerika.com/product/karl/🔔 Subscribe: https://www.youtube.com/@kanerikainc?sub_confirmation=1#Fabcon2026 #MicrosoftFabric #DataAnalytics #AIAgents #DataMigration 0:51When is Fabcon 2026? Updates and Kanerika Highlights

When is Fabcon 2026? Updates and Kanerika Highlights

views February 3rd

AI Agents

Every contract that crosses a reviewer's desk gets the same scrutiny, different paper. Klara, Kanerika's AI compliance and document intelligence agent, reads contracts against your firm's own playbook, flags deviations like termination clauses or indemnity terms, and proposes redlines the reviewer accepts or rejects. It also runs the routine cleanup, headers, footers, page numbering, in the background so your team focuses only on judgment calls.Meet Klara, Kanerika's AI Compliance Agent: https://kanerika.com/🔔 Subscribe: https://www.youtube.com/@kanerikainc?sub_confirmation=1#AIAgent #ComplianceAutomation #ContractReview #DocumentIntelligence #Kanerika 1:52Klara- Compliance Agent I the AI Agent to Enforce Your Governance Playbook I Kanerika

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. 2:43How to Set Up Kanerika's AI Scrum Master Agent Jarvis

How to Set Up Kanerika's AI Scrum Master Agent Jarvis

Kanerika Inc. March 23rd

Finance teams lose up to 80% of their time just gathering and prepping data, leaving only 20% for real analysis. Watch Karl, Kanerika's AI-powered insights agent, answer FP&A questions instantly — no SQL needed — from top customers by revenue to regional growth trends and risk identification.Karl connects directly to your financial data and turns it into answers in seconds: https://kanerika.com/product/karl/🔔 Subscribe: https://www.youtube.com/@kanerikainc?sub_confirmation=1#FPandA #AIAgent #FinancialAnalytics #DataInsights #MicrosoftFabric 2:20How Karl Turns Financial Data into Insights in Seconds | AI-Powered FP&A Analysis

How Karl Turns Financial Data into Insights in Seconds | AI-Powered FP&A Analysis

Kanerika Inc. March 11th

Your CSM team is buried in repetitive tickets — thank-you replies, billing questions, access requests — while associates manually dig through the CRM, ticketing system, and spreadsheets just to answer them. Kanerika's AI agent pre-processes every ticket hitting the queue, resolves simple queries autonomously, flags complex ones for review, and pulls the right data with a suggested response ready before a CSM even opens the ticket. Results: 65% of queries resolved with zero human involvement, escalations down 42%, cost per ticket down 31%.Build your first autonomous AI agent for customer service with Kanerika: https://kanerika.com/contact-us/🔔 Subscribe: https://www.youtube.com/@kanerikainc?sub_confirmation=1#AIAgents #CustomerServiceAutomation #CSM #AutonomousAI #Kanerika 2:14AI Agent for CSM I Autonomous Agent for Customer Service Workflow I Kanerika

AI Agent for CSM I Autonomous Agent for Customer Service Workflow I Kanerika

Kanerika Inc. February 23rd

0:00 Introducing Carl on Microsoft Fabric 0:46 Plant OEE and Production Yield Demo 1:16 Scrap Rate and Defect Analysis 1:37 Supplier Rejection Rate Insights 2:08 Recap of Efficiency and Quality Metrics 2:51 Closing CTA and Contact Details📌 Overview Watch a live demo of Karl, Kanerika's AI-powered manufacturing insights agent, running as a Microsoft Fabric workload to monitor plant performance in real time. Karl answers natural-language questions — like average OEE across plants, plant-wise production yield, scrap rate hotspots, top defect-prone materials, and supplier rejection rates — and returns instant, data-backed answers. Built on top of Microsoft Fabric's unified data, analytics, and AI platform, Karl helps manufacturing leaders spot downtime risks, control quality issues, and strengthen supplier performance without digging through spreadsheets. If you're evaluating an AI agent for real-time plant monitoring, OEE tracking, or quality and supplier analytics on Microsoft Fabric, this demo shows exactly how it works end to end.🎯 Key Takeaways • Karl calculates OEE (combining availability, performance, and quality) instantly and breaks it down plant-by-plant to flag which sites need support • Production yield insights surface waste versus output at each plant to help teams improve profitability • Scrap rate analysis reveals which plant has the highest waste, enabling immediate cost-reduction action • Karl identifies the top five materials by defect rate and criticality, helping procurement and quality teams act early • Supplier rejection rate visualizations show where to renegotiate terms, raise quality standards, or diversify vendors • Karl is built on Microsoft Fabric, which unifies data, analytics, and AI so manufacturing insights update in real time🔗 Related Kanerika Content • Karl - AI Agent for Manufacturing Insights: https://kanerika.com/product/karl/ • Microsoft Fabric: https://kanerika.com/technology/microsoft-fabric/ • Manufacturing Industry Solutions: https://kanerika.com/industries/manufacturing/💼 About Kanerika Kanerika is an AI-first data and automation consulting firm founded in 2015, headquartered in Austin, Texas, with 300+ professionals serving 100+ enterprise clients. As a Microsoft Solutions Partner for Data and AI, Kanerika built Karl, an AI agent that gives manufacturing leaders real-time visibility into plant efficiency, quality, and supplier performance on Microsoft Fabric.🔔 Subscribe for more: https://www.youtube.com/@kanerikainc?sub_confirmation=1📅 Book a free demo: https://kanerika.com/contact-us/?utm_source=youtube&utm_medium=description&utm_campaign=K6HTye-1XLY#AIAgent #Manufacturing #MicrosoftFabric #OEE #SmartFactory #PlantMonitoring 3:10AI Agent for Manufacturing: Real-Time Plant Monitoring Demo on Fabric

AI Agent for Manufacturing: Real-Time Plant Monitoring Demo on Fabric

Kanerika Inc. January 5th

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 1:53Karl: Instant Retail Insights With AI

Karl: Instant Retail Insights With AI

Kanerika Inc. January 2nd

Pharma teams can spend up to 40% of their time analyzing data instead of acting on insights — this demo shows how Karl fixes that. Ask questions in plain English about net sales, GTN deductions, or product margins, and Karl turns your pharma data into instant, conversational visual answers.Meet Karl, Kanerika's data insights AI agent: https://kanerika.com/product/karl/🔔 Subscribe: https://www.youtube.com/channel/UCxVpHrbo6RFTm2mFa53Q9tw?sub_confirmation=1#PharmaAnalytics #AIAgent #DataInsights #ConversationalAI #Kanerika 2:40Karl: Data Insights AI Agent for Pharma

Karl: Data Insights AI Agent for Pharma

Kanerika Inc. December 8th

0:00 Common Scrum Ceremony Time Drains 0:37 Setting Up Jarvis in the Portal 1:06 Jarvis Runs the Daily Standup 2:26 Sprint Planning With Jarvis 3:14 Jarvis's Broader Agile Capabilities 4:06 Wrap-Up: Onboard Jarvis Today📌 Overview Looking for an AI Scrum Master that can actually run your agile ceremonies? This video walks through Jarvis, an AI scrum master agent that takes over the routine work of daily standups and sprint planning so teams can focus on delivery. You'll see Jarvis get set up in minutes — selecting a team, setting frequency, choosing participants, and locking in the cadence — before it automatically places the daily scrum on everyone's calendar. From there, the demo shows Jarvis actually running a live standup call, checking attendance, marking members unavailable, calling on each person for updates, and following up on blockers and completion dates, then a live sprint planning session where it pulls backlog items and updates Azure DevOps in real time as the team talks.🎯 Key Takeaways • Jarvis sets up in the portal in a few clicks — team, frequency, participants, notifications — and auto-schedules the daily scrum on everyone's calendar, no manual invites • During standups, Jarvis checks attendance, marks absent members unavailable, and calls on each team member individually to share updates • It follows up on updates with relevant questions like estimated completion dates and dependencies, and flags blockers for later discussion • At the end of every standup, Jarvis auto-generates a clean summary and sends it to all participants — no manual notes or missed updates • In sprint planning, Jarvis pulls backlog items and updates Azure DevOps live as assignments, estimates, and ownership are discussed, then shares meeting minutes when the session wraps • Beyond ceremonies, Jarvis runs backlog grooming, tracks sprint reviews and retrospectives with sentiment analysis, and maintains a dashboard of sentiment, backlog health, and ceremony efficiency across Microsoft Teams, Outlook, Azure DevOps, and SharePoint🔗 Related Kanerika Content • Agentic AI Services: https://kanerika.com/services/agentic-ai/ • AI Application Development: https://kanerika.com/services/ai-application-development/ • AI Strategy Consulting: https://kanerika.com/services/ai-strategy/💼 About Kanerika Kanerika is an AI-first data and automation consulting firm founded in 2015, headquartered in Austin, Texas, with 300+ professionals serving 100+ enterprise clients. Jarvis, Kanerika's AI Scrum Master agent shown in this video, is part of a broader family of named AI agents the company builds for enterprise workflows. Kanerika is a Microsoft Solutions Partner for Data and AI and holds ISO 27001/27701/9001 and SOC II Type II certifications.🔔 Subscribe for more: https://www.youtube.com/channel/UCxVpHrbo6RFTm2mFa53Q9tw?sub_confirmation=1Want Jarvis running your team's ceremonies? Get a free demo: https://kanerika.com/contact-us/?utm_source=youtube&utm_medium=description&utm_campaign=0Y8mde8Jxls#JarvisAI #AIScrumMaster #AgileTeams #SprintPlanning #DailyStandup #AzureDevOps #AgenticAI 4:35Jarvis AI Scrum Master Transforming Agile Teams Explained

Jarvis AI Scrum Master Transforming Agile Teams Explained

Kanerika Inc. November 19th

Manual data reconciliation eats up time and still leaves room for error. See how Kanerika's AI-powered data reconciliation solution connects directly to your Alteryx workflows, autogenerates validation rules in minutes, and gives business users a real-time dashboard to catch mismatches before reports go out.This solution is powered by Flip, Kanerika's AI-driven DataOps platform: https://kanerika.com/product/flip/🔔 Subscribe: https://www.youtube.com/channel/UCxVpHrbo6RFTm2mFa53Q9tw?sub_confirmation=1#DataReconciliation #Alteryx #DataValidation #AIAutomation #DataOps 2:37AI-Powered Automated Data Reconciliation Solution for Alteryx Workflows

AI-Powered Automated Data Reconciliation Solution for Alteryx Workflows

Kanerika Inc. November 12th

AI, Analytics & Automation

Microsoft IQ is Microsoft's answer to a gap most enterprises hit with AI agents. The agent can reach the data. It still does not understand how the business actually runs.Ask an agent why a shipment is late. It may find the record and still miss who owns the issue, which system matters, and what should happen next.Microsoft IQ gives Copilot and custom agents a shared intelligence layer across work, business data, company knowledge and the web:• Work IQ brings context from collaboration and workflows • Fabric IQ adds the business meaning behind data in Microsoft Fabric and Power BI • Foundry IQ brings in trusted institutional knowledge • Web IQ adds fresh external contextTogether they move agents from raw data access to real business understanding.Kanerika helps teams prepare for that shift by organizing Microsoft Fabric, Power BI and Microsoft 365 context into a cleaner, governed foundation for agent-ready intelligence.To see how this could work for your setup: https://kanerika.com/contact-us/🔔 Subscribe for more on data, AI and Microsoft Fabric: https://www.youtube.com/@kanerikainc#MicrosoftIQ #FabricIQ #WorkIQ #FoundryIQ #WebIQ #MicrosoftFabric #AIAgents #Copilot 1:13Microsoft IQ for AI Agents: Work IQ, Fabric IQ, Foundry IQ & Web IQ

Microsoft IQ for AI Agents: Work IQ, Fabric IQ, Foundry IQ & Web IQ

Kanerika Inc. September 2nd

Why do so many enterprise AI pilots fail to deliver measurable business results?One major challenge is the gap between AI development and the real business environment. Forward Deployed Engineers (FDEs) help close that gap by working directly with client teams, building against real systems and data, deploying solutions into production, and supporting them after launch.In this video, you’ll learn:- Why enterprise AI pilots often struggle to deliver measurable business value - What a Forward Deployed Engineer does in an enterprise environment - How FDEs combine software engineering, AI, data, cloud, and system integration skills - Why understanding the business problem is critical to successful AI implementation - How FDEs work directly with client teams and real enterprise systems - Why production deployment requires more than building an AI prototype - How Kanerika uses the forward deployed engineering model for enterprise AI projects - How one Microsoft-verified project moved six operational systems to Microsoft Fabric in 7 weeks - How reporting time was reduced from two business days to approximately 90 minutes - Why the right deployment approach can help turn AI pilots into production systemsIf your organization is moving from AI experimentation to production deployment, talk to Kanerika: https://kanerika.com/contact-us/Subscribe for more practical insights on enterprise AI, Microsoft Fabric, data engineering, and AI implementation.🔔 Subscribe for more enterprise data and AI insights: https://www.youtube.com/@kanerikainc#ForwardDeployedEngineers #EnterpriseAI #MicrosoftFabric #AIImplementation #DataEngineering #AIDeployment #Kanerika 1:28AI Pilot to Production: Why Forward Deployed Engineers Matter

AI Pilot to Production: Why Forward Deployed Engineers Matter

Kanerika Inc. August 19th

Why do enterprise data platform migrations fail even when the technology and strategy look right on paper? This episode breaks down the most common causes of migration failure—and why teams often discover them only after budgets, timelines, and vendor commitments are already locked.You’ll learn: - Why scope gets locked before teams fully understand the existing data environment - How hiring for platform expertise without verifying real migration experience creates costly execution gaps - Why governance must be built into migration decisions from day one—not added after implementation - How manual conversion compounds delays, rework, and migration risk - Why cross-platform dependencies can surface after contracts and migration commitments are already signed - How AI-powered migration can accelerate conversion across multiple migration paths - How Kanerika’s FLIP platform uses AI agents to automate 60–85% of conversion work across 12 migration paths - Examples including Informatica to Databricks and Tableau to Power BI - How automation, dependency discovery, and built-in governance can help compress migration timelines by up to 75%The key takeaway: successful data migration starts before the conversion begins. Understanding the environment, validating platform expertise, identifying dependencies, and establishing governance early can prevent the most expensive migration failures.📘 Read the 2026 State of Enterprise Data Platform Migration report before choosing a migration vendor.🔗 Learn more about FLIP: https://kanerika.com/product/flip/🔔 Subscribe: https://www.youtube.com/@kanerikainc#DataMigration #EnterpriseData #DataOps #AIAgents #DataGovernance #DataModernization #Kanerika 2:40Enterprise Data Migration Failure: 5 Causes That Derail Modernization

Enterprise Data Migration Failure: 5 Causes That Derail Modernization

Kanerika Inc. July 19th

At Snowflake Summit, Snowflake rebranded Cortex Code as CoCo and made a key point: smarter models alone don't solve enterprise AI-generated SQL problems. Context does.CoCo reads your live Snowflake schema, access policies, and data lineage before generating code, helping it work against your actual data environment rather than relying only on general coding knowledge.In this video, we cover: - Why better AI models can still generate incorrect or unusable enterprise SQL - How CoCo uses schema, access policies, and data lineage for context-aware data engineering - Snowflake's Adebench results: CoCo at 72.1% vs. 65.1% for Claude Code and OpenAI Codex - Why these benchmark figures are Snowflake's own claims and have not yet been independently verified - Cloud agents, automations, and CoCo integrations across VS Code, Excel, Slack, and Claude Code - Why CoCo's advantage is strongest inside Snowflake environments - How mixed technology stacks can limit context-aware capabilities - Why clean, governed enterprise data remains critical for AI-generated codeThe bigger takeaway: AI coding quality depends not only on the model, but also on the context, metadata, governance, and data foundation available to the agent.🔗 Learn more about Snowflake data engineering with Kanerika: https://kanerika.com/technology/snowflake/🔔 Subscribe: https://www.youtube.com/@kanerikainc📅 Talk to Kanerika: https://kanerika.com/contact-us/#Snowflake #SnowflakeCoCo #DataEngineering #SnowflakeAI #AIAgents #DataGovernance #Kanerika 1:51Snowflake CoCo Explained: Why Context Beats a Better Model

Snowflake CoCo Explained: Why Context Beats a Better Model

Kanerika Inc. July 11th

Data modernization projects often stall because of budget constraints—not technology. The Databricks Customer Investment Fund (DCIF) can help enterprises reduce the financial barrier to getting a Databricks modernization project started.In this video, we explain: - What the Databricks Customer Investment Fund (DCIF) is - How Databricks funding can support proof-of-concept work, migration costs, and early consumption - Why discovering funding options early can change the economics of a modernization project - How DCIF can help break the budget cycle that causes projects to stall - Why enterprises should explore funding before spending their own budget on initial POC work - How a Databricks consulting and implementation partner can help qualify, structure, and deliver funded projectsIf your Databricks migration or data modernization initiative is waiting on budget, understanding available funding options could help you move from planning to execution.🔗 Talk to Kanerika about your Databricks modernization strategy: https://kanerika.com/contact-us/🔔 Subscribe for more: https://www.youtube.com/@kanerikainc#Databricks #DCIF #DataModernization #DatabricksMigration #CloudMigration #DataAI #Kanerika 1:34Databricks Customer Investment Fund (DCIF): Free Migration Funding Explained

Databricks Customer Investment Fund (DCIF): Free Migration Funding Explained

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 Numbers📌 Overview Databricks Genie ZeroOps is an autonomous AI agent that detects broken data pipelines, traces root causes through lineage, writes proposed fixes, and validates them in an isolated environment before a human approves the change. Announced at Data + AI Summit, ZeroOps targets the single biggest hidden cost in modern enterprise data teams: keeping production pipelines and ML models running instead of building new ones. This video breaks down exactly how the agent works end-to-end, the real ROI signal (engineer time saved vs. per-run agent cost), and three risks every data leader must resolve before a full rollout — accountability for AI-written fixes, usage-based billing, and single-platform dependence. If autonomous data operations (AIOps / DataOps) are on your 2026 roadmap, this is the honest, no-hype briefing you need.🎯 Key Takeaways • What Databricks Genie ZeroOps actually does: continuous monitoring, root-cause tracing via lineage, AI-authored fixes, isolated testing, human approval gate. • Why "keeping the lights on" is now the largest line item in enterprise data budgets — and how ZeroOps attacks it. • The real cost equation: senior data engineer hours saved vs. usage-based agent run cost. • Three governance questions to answer before rollout: who owns a bad fix, how to cap consumption, and how to manage single-platform lock-in. • Pilot playbook: run ZeroOps on a scoped set of non-critical pipelines and judge on your own downtime + MTTR numbers, not vendor benchmarks.📚 Related Kanerika Content • Related playlist: What's the Latest on AI, Analytics & Automation — https://www.youtube.com/playlist?list=PLU2Yp0XoEB6b2dnoYhUkGQ6yQrNvNcsKX • More on the topic: https://kanerika.com/technology/databricks/💼 About Kanerika Kanerika is a Databricks partner and enterprise AI + data solutions company headquartered in Austin, TX, with global delivery in India. We help data teams design safe autonomous-operations pilots on Databricks — scoping the right pipelines, defining ownership for AI-written fixes, and building the control model around Genie, ZeroOps, and Unity Catalog. Our data engineers work alongside your team from assessment to production rollout.🔔 Subscribe for weekly enterprise AI + data insights: https://www.youtube.com/@kanerikainc📞 Book a demo / talk to us: https://kanerika.com/contact-us/🌐 https://kanerika.com | 💼 https://www.linkedin.com/company/kanerika/#Databricks #GenieZeroOps #DataAISummit #AIOps #DataEngineering #EnterpriseAI 1:49Databricks Genie ZeroOps: AI That Fixes Broken Pipelines

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 More📌 Overview Databricks Genie Ontology, unveiled at the Data and AI Summit, adds a business context layer so enterprise AI actually understands which definition of revenue is real, which source to trust, and which metric to serve. It lands the same month Microsoft shipped Fabric IQ at Build and Snowflake launched its own context layer, so three of the biggest data platforms are converging on the same idea within weeks. That shift matters because today's AI models are capable but blind to your business, and in production the wrong number breaks trust fast. The catch: context layers only pay off on clean data, and pushing all your business logic into one platform raises a serious vendor lock-in question every data leader needs to answer now.🎯 Key Takeaways • Genie Ontology is Databricks' business semantic layer — it teaches AI what your enterprise terms actually mean, from revenue definitions to trusted sources. • Microsoft Fabric IQ and Snowflake's context layer signal an industry-wide move toward semantic layers for trusted AI, not just bigger models. • AI hallucinations in the enterprise are usually a business-context problem, not a model problem — semantic layers close that gap. • Garbage in, garbage out still applies: context layers amplify clean data and confidently amplify messy data. • Concentrating semantic logic inside one platform (Databricks, Fabric, or Snowflake) creates real vendor lock-in risk for your future data and AI strategy.📚 Related Kanerika Content • Related playlist: What's the Latest on AI, Analytics & Automation → https://www.youtube.com/playlist?list=PLU2Yp0XoEB6b2dnoYhUkGQ6yQrNvNcsKX • More on Databricks with Kanerika: https://kanerika.com/technology/databricks/💼 About Kanerika Kanerika is a Databricks partner and Microsoft Solutions Partner (Fabric) headquartered in Austin, TX, helping enterprises design multi-platform data and AI strategies without losing control of governance, quality, and cost. We help data leaders evaluate semantic layers like Genie Ontology and Fabric IQ, plan clean-data readiness, and avoid lock-in as they scale trusted enterprise AI.🔔 Subscribe for weekly enterprise AI + data insights: https://www.youtube.com/@kanerikainc📞 Book a demo / talk to us: https://kanerika.com/contact-us/🌐 https://kanerika.com | 💼 https://www.linkedin.com/company/kanerika/#DatabricksGenie #GenieOntology #FabricIQ #EnterpriseAI #DataGovernance #TrustedAI 1:35Databricks Genie Ontology | Business Context for Trusted AI

Databricks Genie Ontology | Business Context for Trusted AI

Kanerika Inc. June 20th

Databricks just unveiled LTAP (Lake Transactional and Analytical Processing) at its Data + AI Summit — collapsing 40 years of separate transactional and analytical systems into one storage layer with a single copy of data and one governance model, while keeping compute purpose-fit for each workload. For CIOs, that means fewer ETL pipelines and freed-up engineering capacity. For AI agents — which query live and historical data in continuous loops, not periodic human-style lookups — it's the architecture built for how they actually work.Kanerika helps enterprises navigate exactly this kind of data infrastructure transition. Talk to us: https://kanerika.com/contact-us/🔔 Subscribe: https://www.youtube.com/@kanerikainc#Databricks #LTAP #DataArchitecture #AIAgents #EnterpriseData 1:24Databricks LTAP: One Data Layer for AI Agents

Databricks LTAP: One Data Layer for AI Agents

Kanerika Inc. June 19th

Why do AI agent projects fail? Make's VP Darren Patterson says most companies deploy autonomous AI agents without the automation foundation to support them. The real culprit: messy, siloed data. No clean context means agents make blind decisions and workflows break.Kanerika fixes this from the ground up — data modernization first, then deterministic automation, then AI agents that actually deliver ROI. Explore Kanerika's FLIP DataOps platform: https://kanerika.com/product/flip/🔔 Subscribe: https://www.youtube.com/@kanerikainc?sub_confirmation=1#AIAgents #DataAutomation #CleanData #DataModernization #EnterpriseAI 1:34Why Do AI Agents Fail Without Automation and Clean Data?

Why Do AI Agents Fail Without Automation and Clean Data?

Kanerika Inc. February 2nd

Microsoft Fabric migration webinar

Migrate to Microsoft Fabric 5X Faster with FLIP

Limited seats available! Register Now

Microsoft Fabric migration webinar

Migrate to Microsoft Fabric 5X Faster with FLIP

Limited seats available! Register Now

$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
SSMH_Logo_svg-1.svg
Haulhub.svg
The-wonderful-company.svg
Fortegra.svg
Ahava.svg
Alteryx.svg
Trax.svg
Sealink.svg
Kroger.svg
Allen.svg
ABX-1.svg
ABX.svg

Your Free Resource is Just a Click Away!