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Latest Articles

Ontology-driven agents

Ontology-Driven AI Agents: How Rules as Data Fixes Definition Drift

August 26, 2026

TLDR Ontology driven AI agents answer from a governed semantic model instead of guessing at raw table names. Most implementations get the entity model right and the rules layer wrong. Definitions like churn risk or fraud threshold sit inside dashboard formulas, Python scripts, and CRM workflows, and every copy drifts. The fix is to store each rule as a versioned,

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data analytics in pharma

Power BI in Pharma: Transforming Pharmaceutical Data Analytics

August 26, 2026

TL;DR Power BI in pharma connects scattered R&D, clinical, manufacturing, and commercial data into one reporting layer every department can trust. Pharma teams use it to track trial enrollment, monitor batch yields, and prepare FDA and EMA compliance reports. The underlying data platform carries the compliance work, ahead of anything in Power BI’s visual layer. Microsoft Fabric now positions Power

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fabric deployment pipelines

Microsoft Fabric Deployment Pipelines: Setup, Rules, and What’s Changing in 2026

August 25, 2026

TL;DR Microsoft Fabric deployment pipelines promote content across Development, Test, and Production workspaces without manual copying, using up to 10 stages and three types of deployment rules to keep environment-specific settings intact. Git integration handles version control inside a workspace, and deployment pipelines handle promotion between workspaces. Most governed setups run both. Starting December 1, 2026, workspaces with sensitivity-labeled items

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Ontology-driven agents
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  • Manisha

Ontology-Driven AI Agents: How Rules as Data Fixes Definition Drift

data analytics in pharma
Author Profile Picture
  • Harisha Patangay

Power BI in Pharma: Transforming Pharmaceutical Data Analytics

fabric deployment pipelines
Author Profile Picture
  • Harisha Patangay

Microsoft Fabric Deployment Pipelines: Setup, Rules, and What’s Changing in 2026

Forward deployed engineer vs solutions architect
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  • Harisha Patangay

Forward Deployed Engineer vs Solutions Architect: Key Differences and Responsibilities

power bi tools
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  • Lekhya Veera

Power BI Data Modeling Best Practices for 2026

reduce-your-fabric-migration-cost-with-microsoft-funding
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  • Harisha Patangay

How to Reduce Microsoft Fabric Migration Costs With Microsoft Funding

Our Informative Video Library

A global travel management company was processing thousands of invoices every month across hotels, transfers, and car rentals. Manual checks, reconciliation, and fragmented tracking were slowing its Accounts Payable operations.Kanerika built an intelligent invoice automation framework that automated invoice intake, used OCR and AI to extract key data, validated invoices against business rules, and created end-to-end audit trails.The results:• 80% reduction in manual invoice processing • 100% invoice lifecycle traceability • 4X increase in invoice handling capacity without added costWatch the video to see how intelligent invoice processing helped the company scale AP operations while improving speed and control.Talk to Kanerika about invoice automation: [www.kanerika.com/meet](http://www.kanerika.com/meet)Subscribe for more practical content on AI, data, automation, and enterprise technology.#InvoiceAutomation #AccountsPayable #DocumentAI #IntelligentAutomation #Kanerika 1:47Automating Invoice Processing for a Global Travel Management Comapny | Case Study

Automating Invoice Processing for a Global Travel Management Comapny | Case Study

Kanerika Inc. August 20th

A global logistics spend management and freight audit business had to modernise its data platform while absorbing a merger under private equity ownership. This is how the programme was sequenced.In this episode: - The constraint: modernise fast without disrupting live freight audit operations - How the merger changed data integration priorities - Platform decisions made under PE ownership and reporting pressure - What was delivered and in what order - Results and what the team would sequence differentlyFacing a similar modernisation? Connect with Kanerika: https://kanerika.com/case-studies/driving-operating-leverage-and-ma-ready-scalable-growth-with-product-engineering-services/#CaseStudy #Logistics #FreightAudit #DataModernization #PrivateEquity 1:39Freight Audit Leader Modernises Mid-Merger | Case Study

Freight Audit Leader Modernises Mid-Merger | Case Study

Kanerika Inc. August 6th

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 1:02FoodPharma’s Reporting Transformation with Microsoft Fabric and Kanerika

FoodPharma’s Reporting Transformation with Microsoft Fabric and Kanerika

Kanerika Inc. June 15th

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 1:41Migrating Legacy QlikView Reporting to Real-Time Power BI Analytics | Case Study

Migrating Legacy QlikView Reporting to Real-Time Power BI Analytics | Case Study

Kanerika Inc. June 3rd

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 1:47Enhancing Brand Compliance and Approval Workflows with Conversational AI

Enhancing Brand Compliance and Approval Workflows with Conversational AI

Kanerika Inc. May 18th

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 1:37Building an AI-Powered Compliance Platform That Scales Across Jurisdictions

Building an AI-Powered Compliance Platform That Scales Across Jurisdictions

Kanerika Inc. May 13th

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 1:39Data 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

Kanerika Inc. April 14th

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 1:34Enabling Faster Insights with Informatica to Microsoft Fabric Migration

Enabling Faster Insights with Informatica to Microsoft Fabric Migration

Kanerika Inc. April 5th

A leading pharma manufacturer's sales and finance teams were stuck reconciling conflicting data across systems for weeks before they could even start analyzing it. See how Kanerika implemented Microsoft Fabric to unify all sales and finance data into a single governed lakehouse, paired with Power BI dashboards for real-time KPI visibility — driving a 95% reduction in reporting effort, 40% improvement in operational efficiency, and 35% lower operational costs.🔔 Subscribe: https://www.youtube.com/@Kanerika?sub_confirmation=1#MicrosoftFabric #PowerBI #DataAnalytics #PharmaIndustry #DataGovernance 1:33How Microsoft Fabric Improved Sales & Financial KPIs for a Leading Pharma Manufacturer

How Microsoft Fabric Improved Sales & Financial KPIs for a Leading Pharma Manufacturer

Kanerika Inc. January 20th

Forward deployed Engineering webinar

From AI Pilot to Production: The Delivery Model That Actually Ships

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
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Allen.svg
ABX-1.svg
ABX.svg

$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

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