In this episode of The Digital Shift, we explore how IT staff augmentation helps enterprises fill critical skill gaps in AI, data, and cloud projects.

We discuss faster access to specialists, lower hiring risk, flexible capacity, and how experts in platforms like Databricks and Microsoft Fabric can support complex projects.

Need specialized talent without long-term hiring? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead

In this episode of The Digital Shift, we explore how enterprises use Microsoft Azure for cloud migration, hybrid environments, AI applications, and infrastructure modernization.

We cover key Azure services, cost optimization strategies, and how Kanerika helps organizations accelerate Azure transitions with automated migration tools and governance expertise.

Looking to modernize your Azure environment? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead

In this episode of The Digital Shift, we explore the role of Forward Deployed Engineers (FDEs) and why enterprises are adopting this model to move AI projects into production.

We discuss the skills FDEs need, how they work directly with client environments, and how this approach helps overcome integration challenges, legacy systems, and data silos.

Looking to accelerate enterprise AI delivery? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead

AI projects often fail for a reason most companies overlook: people don't adopt them.

Organizations invest in AI tools, build pilots, and launch new systems, but many struggle when it comes to real-world usage. The challenge is rarely just the technology. It comes down to trust, workflow integration, employee readiness, and whether AI solves a real business problem.

In this episode of The Digital Shift by Kanerika, Kanishka Goel speaks with Varun Saket, Product Manager at Kanerika, about what it takes to make enterprise AI adoption successful.

Connect with Kanerika: https://kanerika.com/meet

Why do some data migration projects meet their goals while others run over budget, miss deadlines, or fail completely?

In this episode, Manisha Chowdari, Head of Business Analysis at Kanerika, explains the main factors that decide the outcome of an enterprise data migration. She discusses poor planning, unclear business requirements, weak data quality, limited stakeholder involvement, testing gaps, and the risks of treating migration as a technical task alone.

Planning a data migration? Talk to Kanerika’s experts. Book a meeting: https://kanerika.com/contact-us/

In this episode of The Digital Shift, we explore five product engineering strategies helping enterprises build faster, scalable, and AI-ready software in 2026.

We cover Agile and DevOps integration, microservices, cloud-native development, AI-powered workflows, and data-driven product improvements.

Looking to build better software products with modern engineering practices? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead

In this episode of The Digital Shift, we explore how AI-powered digital twins use Microsoft Fabric and Esri ArcGIS to predict equipment failures and improve industrial maintenance.

Watch our webinar on AI-Powered Digital Twins for Preventive Maintenance: https://kanerika.com/events-and-webinars/ai-powered-digital-twins-for-preventive-maintenance/

We discuss how Microsoft Fabric and Esri ArcGIS combine sensor, operational, and geographic data to create live asset models.

Looking to build smarter industrial operations with AI? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead

In this episode of The Digital Shift, we explore Adaptive Software Development (ASD) and its Speculate, Collaborate, Learn framework for managing complex projects with changing requirements.

We discuss how ASD differs from traditional approaches, why continuous learning matters, and how it applies to modern AI development and enterprise data projects.

Looking to build adaptable software solutions? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead

In this episode of The Digital Shift, we explore how modern product engineering testing services help enterprises build reliable software with shift-left testing, AI-assisted automation, and QAOps.

We cover testing approaches across security, performance, and accessibility, along with engagement models like staff augmentation and managed services.

Looking to improve software quality with the right testing expertise? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead

In this episode of The Digital Shift, we explore modern data modeling strategies essential for AI-ready enterprise architecture.

We cover approaches like dimensional modeling and data vault, the importance of standardized naming and machine-readable metadata, along with much more.

We also highlight Kanerika’s solutions for migrating legacy systems to cloud-native platforms using automated accelerators.

Looking to make your data AI-ready? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead