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Latest Articles

Staff augmentation for startups

Staff Augmentation for Startups: The Growth Strategy Modern Founders Are Adopting

A senior AI engineer takes four to six months to recruit and several more months to reach full productivity. The product milestone that hire was brought in for has often already passed by the time they are contributing. Staff augmentation gives startups a different model. External professionals join the team, work under the startup’s management, and ship against the startup’s

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Snowflake Cowork

Snowflake CoWork: How It Brings AI, Data, and Business Context Together

TL;DR Snowflake CoWork is Snowflake’s AI work agent for knowledge workers, rebranded from Snowflake Intelligence at Snowflake Summit 2026. It lets employees ask questions of governed enterprise data in plain language and get cited answers instead of raw dashboards. Beyond answering questions, CoWork automates multi-step work, builds shareable Artifacts from live data, and takes action across Gmail, Slack, Jira, and

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Hiring manager interviewing a data scientist candidate at Kanerika, illustrating how to hire a data scientist for enterprise AI and analytics teams

How to Hire a Data Scientist: The Complete 2026 Guide

TL;DR: Hire a data scientist by first deciding whether you need a generalist, an AI/ML specialist, or an analytics engineer, then match the engagement model (full-time, freelance, staff augmentation, or fractional) to how fast and how long you need that capability, and screen for production judgment over academic pedigree. Key Takeaways In practice, hire a data scientist by defining the

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Our Informative Video Library

FoodPharma’s Reporting Transformation with Microsoft Fabric and Kanerika

Kanerika Inc. June 15th

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

Kanerika Inc. June 3rd

Enhancing Brand Compliance and Approval Workflows with Conversational AI

Kanerika Inc. May 18th

Building an AI-Powered Compliance Platform That Scales Across Jurisdictions

Kanerika Inc. May 13th

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

Kanerika Inc. April 14th

Enabling Faster Insights with Informatica to Microsoft Fabric Migration

Kanerika Inc. April 5th

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

Kanerika Inc. January 20th

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

Kanerika Inc. December 14th

Enhancing Decision-Making and Reducing Costs with Power BI.

Kanerika Inc. November 24th

$1.2M

Average Annual Cost Savings in Logistics Operations

50%

Faster Time-to-market for Fintech and Healthtech products

28%

Boost in Customer Retention in Retail and E-commerce

30%

Reduction in Project Timelines for Pharmaceutical Firms

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