Kanerika , a prominent provider of enterprise-grade Analytics, Automation, and AI solutions, has achieved a significant milestone by being recognized as a Microsoft Solutions Partner for Data and AI. This accolade highlights Kanerika’s dedication to excellence within the Azure ecosystem and its commitment to delivering innovative solutions.
- Achievement and Recognition
- Kanerika Inc. is honored as a Microsoft Solutions Partner for Data and AI.
- This designation underscores Kanerika’s expertise in Microsoft Azure services and commitment to innovation.
- Expertise and Team Strength
- The recognition is supported by Kanerika’s team of 35 certified professionals.
- Amit Chandak, Microsoft MVP and Chief Analytics Officer, highlights the company’s top-tier solutions designed to advance client businesses.
- Collaboration with Microsoft
- Kanerika collaborates closely with Microsoft, influencing product development and adoption.
- Early adopters of Microsoft Fabric and Copilot, Kanerika is set to expand Microsoft’s reach.
- Upcoming Training Sessions
- Kanerika will offer comprehensive training sessions including ‘Fabric Analyst in a Day’ and ‘Dashboard in a Day’ starting November 2024.
- These sessions aim to provide valuable insights and hands-on experience with Microsoft technologies.
- Impact and Future Directions
- Bhupendra Chopra, CRO and Co-founder, emphasizes Kanerika’s leadership in technical expertise and customer satisfaction.
- The company has successfully implemented Microsoft solutions for major clients, including a global bank and a healthcare giant in the USA.
- Kanerika’s focus on Azure Data & AI aligns with the growing demand for advanced analytics and AI solutions.
Kanerika Inc.’s recognition as a Microsoft Solutions Partner for Data and AI marks a significant achievement, reinforcing its position as a leader in providing cutting-edge Azure solutions. With upcoming training sessions and a focus on advanced analytics, Kanerika is well-positioned to drive innovation and meet the evolving needs of the data-driven landscape.
