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Latest Articles

Product Engineering

Product Engineering for Enterprises: What It Delivers and How to Choose a Partner

August 7, 2026

TL;DR Product engineering is the end-to-end discipline of designing, building, testing, and maintaining a software product across its full lifecycle, not just its initial build. It differs from one-time custom software development in that it plans for ongoing iteration, maintainability, and technical debt management from the start. The strongest engineering programs balance speed to market against long-term cost, since poor

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Kanerika banner for workflow orchestration tools, an engineer monitoring pipeline dashboards in a control room

Workflow Orchestration Tools: Categories, Mechanics, and How to Choose One

August 7, 2026

TL;DR Workflow orchestration tools like Apache Airflow, Dagster, Prefect, Temporal, and Camunda coordinate dependent tasks across systems, track state, and apply retry and alerting rules so a single failure doesn’t cascade; the right one depends on whether your hardest problem is a data pipeline, a business process, or a long-running distributed application. Key Takeaways Workflow orchestration tools fall into four

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Compliance and security leader reviewing a unified AI governance architecture dashboard in a navy-toned office scene

Unified AI Governance Architecture: The Reference Blueprint for AI, ML, and Agent Control

August 7, 2026

TL;DR A unified AI governance architecture is a technical control plane, not a policy document. It connects a policy engine, a model and agent registry, an audit trail, an access control layer, and observability into one system that governs traditional ML, generative AI, and agentic workflows through the same enforcement points. Key Takeaways A governance architecture is a system of

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AI in Marketing
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  • Kanishka Goel

10 Generative AI Use Cases & Tools for Marketing in 2026

Generative ai for businesses
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  • Anna King

Top 10 Generative AI Applications for Retail in 2026

Generative AI in Enterprises
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  • Anna King

Generative AI in Enterprise: What’s Changing in 2026

Parameter-efficient Fine-tuning (PEFT)
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  • Anna King

Parameter-Efficient Fine-Tuning: What to Know Before You Build

Keras Vs TensorFlow
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  • Anna King

Keras vs TensorFlow: Key Differences for 2026

Data Visualization
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  • Anna King

Data Visualization in Business Analytics: 2026 Trends

Our Informative Video Library

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
YouTube Video UExVMllwMFhvRUI2WUZaWDdZaGhOVjFsMTAwdnF6U2JVcy5CNEYyNTVBNDdGMDI1MDNC

Building Operational EfficiencyThrough Scalable Product Engineering | Case Study

Kanerika Inc. 20 hours ago

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
YouTube Video UExVMllwMFhvRUI2WUZaWDdZaGhOVjFsMTAwdnF6U2JVcy41ODIyMTgwQzA4NjJCQkZC

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 1:41
YouTube Video UExVMllwMFhvRUI2WUZaWDdZaGhOVjFsMTAwdnF6U2JVcy5FRjdGNDMzN0I2RTI3MDlG

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 1:47
YouTube Video UExVMllwMFhvRUI2WUZaWDdZaGhOVjFsMTAwdnF6U2JVcy41RDUzRjJFQ0Y0MUI3NzU1

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 1:37
YouTube Video UExVMllwMFhvRUI2WUZaWDdZaGhOVjFsMTAwdnF6U2JVcy5ERENFNTk4Q0Q2MTZDMTA5

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 1:39
YouTube Video UExVMllwMFhvRUI2WUZaWDdZaGhOVjFsMTAwdnF6U2JVcy4yM0EyQ0U1M0I2RkIwNTQ0

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 1:34
YouTube Video UExVMllwMFhvRUI2WUZaWDdZaGhOVjFsMTAwdnF6U2JVcy5DQjg2RDQyMEVGQkZFOEVF

Enabling Faster Insights with Informatica to Microsoft Fabric Migration

Kanerika Inc. April 5th

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
YouTube Video UExVMllwMFhvRUI2WUZaWDdZaGhOVjFsMTAwdnF6U2JVcy4wQUE0QzM4MkJGQ0YwQjUx

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

Kanerika Inc. January 20th

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
YouTube Video UExVMllwMFhvRUI2WUZaWDdZaGhOVjFsMTAwdnF6U2JVcy5GMDBDNkJGMzYzREUyMTYw

How Microsoft Fabric Helps Reduce Cost & Boost Data Performance: A Case Study

Kanerika Inc. December 14th

$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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