How Groupama, Lowell, Paysafe, DATEV, and Chanel are Innovating with Azure AI, OpenAI Services, and Microsoft Copilot
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How Groupama, Lowell, Paysafe, DATEV, and Chanel are Innovating with Azure AI, OpenAI Services, and Microsoft Copilot

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Various industries are experiencing significant transformations fueled by advanced technologies like Azure AI, Azure Cognitive, Microsoft Copilot, and OpenAI services.

Artificial Intelligence is no longer a futuristic concept but a present reality reshaping industries at an unprecedented pace.These advancements are not just enhancing efficiency but also opening new avenues for growth and competitiveness.. 

In this article, we delve into how Groupama, Lowell, Paysafe, DATEV, and Chanel are leveraging these technologies to stay ahead of the curve.

Groupama: Enhancing Customer Experience with Azure OpenAI Service

Groupama is using Azure OpenAI Service to transform their customer interactions and simplify operations. By integrating intelligent chatbots and virtual assistants, Groupama has improved customer satisfaction and operational efficiency. This case underscores the importance of AI in delivering real-time customer support and other operational automations.

Background

Groupama is a major French insurance group headquartered in Paris, with operations in 10 countries. Founded in the 19th century as a mutual organization focused on providing insurance services to farmers and individuals, Groupama has grown significantly over the years. The company now serves professionals, local authorities, and businesses across various sectors. 

Groupama employs approximately 31,000 people and generates an annual revenue of around €15.9 billion, positioning itself as a leading player in the insurance and banking industry.

Identifying the Opportunity 

As a leading insurance provider, Groupama recognized the transformative potential of emerging technologies like generative AI and Azure OpenAI Service. The company identified an opportunity to enhance customer service and internal operations by leveraging these cutting-edge capabilities. 

Groupama's vision was to deliver more personalized and efficient experiences for its clients, thereby maintaining its competitive edge in the market.

"As with most industries, the exposure of ChatGPT raised questions about this new-generation AI, because it quickly became clear to us that it provided convincing answers to the limitations we had previously observed, and which were restricting the use of AI for our business," - Thibaut Aboulker: Head of Specialized Insurance and Services, Business Projects and Group Digital Transformation

Solution 

By partnering with Microsoft, Groupama integrated Azure OpenAI Service into its systems, providing access to powerful language models capable of understanding and generating human-like text. This integration led to the development of intelligent chatbots and virtual assistants that could engage in natural conversations with customers, offering quick and accurate responses to their inquiries.

Additionally, Groupama explored the use of generative AI to automate the creation of personalized insurance policies and documents. This approach allowed the company to tailor its offerings to meet each customer's unique needs and preferences, further enhancing the customer experience.

To drive innovation and engagement within the organization, Groupama also hosted a hackathon in January 2023. This event encouraged employees to explore and develop new AI-driven solutions, fostering a culture of creativity and continuous improvement.

Impact

Customer Satisfaction

The deployment of AI-powered chatbots significantly reduced response times, enhancing overall customer satisfaction. Adopted by all employees specializing in customer relations at Groupama Epargne Salariale, this virtual assistant delivers reliable, verified, and verifiable information, and boasts an 80% success rate. As a result, employees interact faster and better and adapt their responses to the profile of each customer. 

"Our managers save a considerable amount of time and are able to carry out their work in much better conditions," enthuses François-Xavier Enderlé, Head of Digital Transformation at Groupama 

Operational Efficiency

Automating routine inquiries allowed human agents to focus on more complex and value-added tasks. This shift improved overall efficiency and enabled staff to dedicate more time to high-priority customer interactions.

Insights and Personalization

The AI system provided deep insights into customer behavior and preferences, enabling Groupama to offer more tailored services. The use of generative AI to create personalized insurance documents further enhanced the customer experience.

"Mutual AI" Vision

Groupama's vision of "mutual AI" aimed to create a collaborative relationship between humans and AI systems. For the AI to deliver good results it has to be overlooked and maintained by skilled employees, and by creating this symbiotic relationship between AI and human, companies like Groupama are delivering exceptional customer experiences and optimized internal operations. 

Encouraging Employees to Innovate

Hackathons are commonly practiced in large companies like Groupama to quickly find solutions and specialists who can implement them. These events help companies access new ideas and solutions while engaging employees in the AI transformation process.  

"The hackathon was based on real use cases that had already been identified, but which we were unable to fully address with the technologies at our disposal." - François-Xavier Enderlé: Head of Digital Transformation, Groupama

Lessons Learned 

Groupama's strategic use of Azure OpenAI Service and generative AI, coupled with initiatives like hackathons, serves as a model for other financial institutions looking to innovate and enhance their operations. Their experience highlights several key takeaways:

  • Embrace Innovation: Financial institutions should actively seek opportunities to integrate AI technologies to stay competitive and meet evolving customer expectations.
  • Focus on Personalization: AI can significantly enhance customer satisfaction by providing quick and personalized service. Tailoring offerings to individual customer needs is crucial.
  • Leverage Data Insights: Utilizing AI to gather and analyze customer data can lead to more effective service personalization and improved customer engagement.
  • Enhance Operational Efficiency: Automating routine tasks with AI allows human agents to focus on more complex issues, improving overall service quality and efficiency.
  • "Mutual AI" Approach: Combining human expertise with AI capabilities creates a synergistic effect, enhancing both customer service and operational processes.
  • Encourage Internal Innovation: Hosting events like hackathons can drive internal engagement and innovation, leading to the development of creative AI solutions.

The Groupama's case study is available on the Microsoft website, and you can access it by clicking this link: https://customers.microsoft.com/en-us/story/1741559204804365124-groupama-azure-openai-service-banking-en-france 

Lowell: Leveraging Azure Cognitive Services for Enhanced Customer Interactions

Lowell has adopted Azure Cognitive Services to improve customer interactions and operational efficiency. Advanced chatbots and sentiment analysis tools have streamlined customer service, enabling personalized support and better first-call resolution rates. This highlights the essential role of AI in responsive customer service and financial operations.

Background 

Lowell is a leading UK-based credit management company, specializing in debt recovery and financial services. With a mission to create better outcomes for both clients and their customers, Lowell operates in several countries and serves millions of customers. The company is dedicated to maintaining high standards of customer service and operational efficiency, which are critical for its success in the competitive credit management industry. Lowell generates an annual revenue of approximately $690 million, underscoring its significant presence in the market.

Challenge 

The company faced multiple challenges in improving the quality and efficiency of its customer service operations. The existing processes were not sufficiently meeting the needs for personalized and responsive support, which are essential in the credit management industry. The company had data suggesting that up to 40 percent of unpaid invoices were held by people who had the means to pay, and they needed a way to motivate these consumers to pay. Lowell aimed to offer credit counseling and other services to help consumers manage their debt more effectively.

Another significant challenge was that approximately half of Lowell's phone interactions were small inquiries.

"Our financial counselors had to spend 60 percent of their time on routine communications with consumers rather than sharing their credit expertise to help consumers tackle their money issues. This inefficiency needed to be addressed to allow financial counselors to focus on more complex issues.." - Carl Udvang, Product Manager at Lowell

Solution

To address these challenges, Lowell integrated Azure Cognitive Services into their customer service framework. This integration involved deploying advanced chatbots and virtual assistants powered by these AI tools, capable of understanding and responding to customer inquiries accurately and efficiently. 

These AI tools enabled advanced features like text recognition, sentiment analysis, and key phrase extraction, which helped the bots answer 40 percent of consumer inquiries and even calculate payment plans.

The organization also utilized sentiment analysis capabilities within Azure Cognitive Services to gain deeper insights into customer emotions. 

Lowell's bot provided an efficient way for consumers to receive advice, establish payment plans, find answers to simple questions, and manage their own credit. This approach significantly enhanced the quality and efficiency of customer interactions.

Impact

  • Improved Interactions: The AI-powered chatbots and virtual assistants significantly enhanced the quality and efficiency of customer interactions. They provided quick and accurate responses to a wide range of inquiry. 
  • Sentiment Analysis: By understanding customer emotions through sentiment analysis, Lowell was able to tailor its services more effectively. This personalized approach addressed the specific needs and concerns of each customer, fostering a better customer experience. 
  • Operational Efficiency: The automation of routine queries through the chatbots and virtual assistants allowed Lowell's human agents to focus on more complex issues. This shift improved overall operational efficiency and enabled staff to handle more value-added tasks. 
  • Customer Satisfaction: Enhanced customer interactions and personalized services led to increased customer satisfaction and loyalty. Customers appreciated the quick and empathetic responses provided by the AI tools. 
  • First-Call Resolution: The introduction of the Lowell bot saw a 20 percent increase in first-call resolution rates, from 50 to 70 percent. This improvement meant that more customer issues were being resolved on the first interaction, enhancing overall satisfaction and reducing the need for follow-up calls.
  • Cost Savings and Efficiency Gains: The implementation of AI-driven solutions helped Lowell achieve significant cost savings and efficiency gains. By automating routine tasks, the company was able to reduce operational costs and allocate resources more effectively.

Lessons Learned

Lowell's successful use of Azure Cognitive Services demonstrates the transformative potential of AI in enhancing customer interactions within the financial services industry. 

Key takeaways from Lowell's experience include:

  • Embrace AI for Personalization: Financial institutions can significantly enhance customer satisfaction by leveraging AI to provide personalized and responsive support. Understanding customer emotions and tailoring services accordingly can lead to better outcomes.
  • Improve Operational Efficiency: Automating routine tasks with AI allows human agents to focus on more complex and value-added tasks, improving overall efficiency and service quality.
  • Boost First-Call Resolution: Increasing first-call resolution rates through AI can significantly improve customer satisfaction and reduce the need for follow-up interactions.
  • Continuous Optimization: Implementing AI solutions requires continuous monitoring and optimization to ensure they meet the evolving needs of the business and its customers.
  • Foster Innovation: Collaborating with technology partners and embracing innovation can help financial institutions stay competitive.

The Lowell's case study is available on the Microsoft website, and you can access it by clicking this link: https://customers.microsoft.com/en-us/story/753060-lowell-banking-capital-markets-azure-cognitive-services 

Paysafe: Innovating with Microsoft Copilot for Microsoft 365

​​Paysafe implemented Microsoft Copilot for Microsoft 365 to automate routine tasks and boost productivity across global teams. This AI-powered tool has improved internal operations, collaboration and provided intelligent insights. This case demonstrates AI's significance in workplace efficiency and decision-making processes.

Background 

Paysafe is a leading global payments provider, headquartered in Bulgaria, with a strong presence worldwide. The company serves millions of customers and processes billions in transactions annually. Paysafe is a payment platform serving merchants and consumers in the global entertainment sectors, enabling businesses and consumers to connect and transact. 

It offers services such as payment processing, digital wallets, and online cash solutions. In 2023, Paysafe facilitated over USD 140 billion in transactions, supporting 260 payment types in over 40 currencies worldwide. 

The company is dedicated to offering innovative and secure payment solutions to its diverse clientele, which includes businesses and consumers across numerous industries.

Challenge 

Paysafe faced the critical challenge of modernizing and streamlining its internal operations to enhance productivity and collaboration among its global teams. The existing tools and processes were outdated and inefficient, unable to keep pace with the demands of a fast-paced, dynamic fintech environment. A significant amount of employee time was consumed by routine administrative tasks such as drafting emails, generating reports, and scheduling meetings. This inefficiency hindered innovation and detracted from the company’s ability to focus on strategic initiatives and top-tier service delivery. 

Specifically, Paysafe needed a solution that could automate these mundane tasks, integrate seamlessly with their existing systems, and support their diverse, multilingual workforce. They were looking for a technology that could streamline workflows, enhance data management, and provide intelligent insights to drive informed decision-making.

“As a FinTech company, we aim to use the newest technologies to drive efficiency. When we saw the demo of Copilot, we knew we had to try it out(…)” shares Daniel Ivanov, Director of Corporate IT at Paysafe

Solution 

To address these challenges, Paysafe adopted Microsoft Copilot for Microsoft 365. This AI-powered tool integrates seamlessly with Microsoft 365 applications, providing advanced capabilities to automate routine tasks, enhance collaboration, and improve overall productivity. Microsoft Copilot assists with tasks such as drafting emails, generating reports, and scheduling meetings, allowing employees to focus on higher-value activities.

A notable implementation of Copilot was within Paysafe’s IT team. Paysafe also uses Copilot to address the challenges of a diverse and multilingual global workforce. 

"We work in multiple countries. Everything needs to be translated into various languages: policies, standard operating procedures, and meetings. Even if we could do it ourselves or hire someone else, it would take a lot of time, not to mention the cost. Now, I can have Copilot automatically translate texts and focus my efforts on quality assurance" -  Nilce Piccinini, PR Director at Paysafe. “

Impact

  • Enhanced Productivity: The automation of routine tasks enabled employees to focus on more strategic and creative initiatives.
  • Improved Collaboration: Microsoft Copilot facilitated better collaboration among global teams by streamlining communication and project management. The tool’s integration with Microsoft 365 applications ensured that all team members had access to the same information and could work together more effectively.
  • Operational Efficiency: The reduction in time spent on administrative tasks led to significant improvements in operational efficiency. Employees were able to complete their work more quickly and accurately, contributing to a more agile and responsive organization.
  • Data-Driven Decisions: Microsoft Copilot provided intelligent insights and recommendations, enabling employees to make more informed decisions. The AI-driven tool analyzed data and offered suggestions that enhanced decision-making processes.
  • Employee Satisfaction: The reduction in manual workload and the ability to focus on higher-value tasks contributed to higher employee satisfaction. Teams felt more empowered and motivated, knowing that they were contributing to strategic goals rather than being bogged down by routine tasks.
  • Time Savings: The IT team at Paysafe reported significant time savings by using Copilot in Word to prepare technical documentation. The ability to combine information from various documents into a cohesive text resulted in time savings ranging from 10% to 50%.

Lessons Learned

Paysafe’s successful implementation of Microsoft Copilot for Microsoft 365 highlights the significant benefits that AI-powered tools can bring to an organization. 

Key takeaways from Paysafe’s experience include:

  • Leverage AI for Efficiency: AI can automate routine tasks and free up employees to focus on more strategic and creative work, enhancing overall productivity and innovation.
  • Enhance Collaboration: Tools like Microsoft Copilot can improve collaboration by providing seamless integration with existing applications and ensuring that all team members have access to the same information.
  • Foster a Culture of Continuous Improvement: Regular feedback and updates are crucial for optimizing AI tools and ensuring they meet the evolving needs of the organization.
  • Drive Data-Driven Decisions: AI-powered insights and recommendations can support more informed decision-making processes, leading to better business outcomes.

The Paysafe’s case study is available on the Microsoft website, and you can access it by clicking this link:  https://customers.microsoft.com/en-us/story/1781698642929941032-paysafe-microsoft-copilot-for-microsoft-365-banking-and-capital-markets-en-bulgaria 

DATEV: Streamlining Data Processing with Azure OpenAI Service

DATEV utilizes Azure OpenAI Service to automate data processing and enhance service delivery in the tax and legal sectors. AI-driven data analysis has improved efficiency, accuracy, and scalability. This scenario illustrates AI's essential role in managing extensive data workloads and timely service.

Background 

DATEV eG, based in Nuremberg, Germany, is a prominent provider of software and IT services for tax consultants, auditors, lawyers, and their clients. 

Founded in 1966, DATEV operates as a cooperative with over 8,000 employees, supporting them with comprehensive software solutions and IT services. DATEV is a significant player in the accounting, tax, and legal sectors, generating an annual revenue of approximately €1.4 billion. The company serves more than 600,000 clients, including businesses of various sizes, ensuring that they receive accurate and efficient administrative support.

Challenge 

DATEV faced the challenge of managing and processing vast amounts of data efficiently. In Germany, 46 million people pay private income tax, and 4.1 million companies pay trade tax, resulting in a massive number of tax declarations to process annually. Tax accountants face increasing workloads as they help clients navigate complex and evolving tax regulations.

The company needed a solution to handle the vast amounts of data processed every day more efficiently and to provide better services to its members.

Solution 

To address these challenges, DATEV integrated Azure OpenAI Service into its operations. This AI-powered service enabled DATEV to leverage advanced natural language processing capabilities to automate the analysis and processing of large volumes of data. The implementation of Azure OpenAI Service allowed DATEV to develop intelligent applications that could understand and generate human-like text, significantly enhancing their service offerings.

One of the key applications of this technology was in automating the processing of financial documents. Azure OpenAI Service helped DATEV extract relevant information from various documents, summarize key points, and generate reports with high accuracy and speed. This automation reduced the manual effort required and improved the timeliness and quality of the services provided to their members.

Impact

  • Improved Efficiency:The integration of Azure OpenAI Service automated the processing of large volumes of financial documents, significantly reducing the time and effort required for these tasks.
  • Enhanced Accuracy: By leveraging AI to analyze and process data, DATEV improved the accuracy of the information extracted and the reports generated. This led to more reliable and consistent service delivery to their members.
  • Better Insights: Azure OpenAI Service provided DATEV with deeper insights into the data processed, enabling more informed decision-making. The AI-driven analysis helped uncover patterns and trends that were previously difficult to identify, enhancing the value of the services offered.
  • Operational Optimization: The automation of routine tasks allowed DATEV to optimize its operations, resulting in increased productivity and efficiency across the organization.
  • Scalability: The scalable nature of Azure OpenAI Service allowed DATEV to handle increasing volumes of data and documents without compromising on performance or accuracy. This scalability ensured that DATEV could continue to meet the growing demands of its members effectively.

Lessons Learned 

DATEV's successful implementation of Azure OpenAI Service highlights the transformative potential of AI in optimizing operations and enhancing service delivery. Key takeaways from DATEV's experience include:

  • Embrace AI for Automation: Automating routine tasks with AI can significantly enhance efficiency and free up resources for more strategic initiatives.
  • Improve Accuracy with AI: Leveraging AI for data analysis and processing can improve the accuracy and reliability of the information extracted and the reports generated.
  • Gain Better Insights: AI-driven analysis can provide deeper insights into data, uncovering patterns and trends that enhance decision-making and service delivery.
  • Optimize Operations: The automation of routine tasks allows organizations to optimize their operations, resulting in increased productivity and efficiency.
  • Ensure Scalability: Implementing scalable AI solutions ensures that organizations can handle increasing volumes of data and demands effectively.

The DATEV's case study is available on the Microsoft website, and you can access it by clicking this link: https://customers.microsoft.com/en-us/story/1776974722213415807-datev-eg-azure-openai-service-banking-and-capital-markets-en-germany 

Chanel combines exceptional creation with cutting-edge technologies powered by Microsoft AI & Fabric

Chanel is adopting Microsoft AI and Fabric to integrate data processes and improve customer experience. Technologies like Azure Data Factory and Azure OpenAI Service have optimized supply chain management and personalized marketing strategies. This case highlights advanced analytics' important role in maintaining efficiency and high-quality customer experiences in the luxury sector.

Background

Chanel, the iconic luxury fashion brand, has been a pioneer in style and innovation since its founding in 1910 by Coco Chanel. Headquartered in France, Chanel is renowned for its haute couture, ready-to-wear, accessories, and fragrances, with a presence in numerous countries and a reputation for elegance and exclusivity. Chanel is also embracing digital technology as it recognizes the value of data insights to stay ahead of the curve. 

Chanel has reported its financial results for the full 2023 fiscal year, with revenues up 15.8% on a comparable basis at constant currency to US$19.7 billion.

Identifying the Opportunity

To enhance its capabilities, Chanel has invested in an enterprise-wide data platform powered by Microsoft Fabric, integrating technologies like Azure Data Factory, Azure Synapse Analytics, and Power BI. This platform supports business intelligence, analytics, and a data mesh approach, enabling decentralized yet unified data management.

We chose Microsoft Fabric as the foundation of this platform, driven by its ability to implement a data mesh approach,” explains Philippe Baumlin, CIO Corporate
We've crafted a technical blueprint that specifies the Microsoft technologies to be used, from Azure to Power BI, and outlines best practices for seamless implementation,” Olivier Barbonnat, CIO of Europe

Chanel's modern data management strategy leverages generative AI to enhance both employee and customer experiences.

 “One of the unique strengths of AI is its versatility, allowing us to innovate in a number of areas from marketing to content creation, sales aftercare, customer care, supply chain, e-business, and HR ...,” - Vincent Arcin, Digital Director Europe at Chanel

This initiative aims to exceed client expectations while responsibly handling data with built-in security and evolving features to adapt to changing security landscapes.

Solution 

Chanel adopted Microsoft Fabric and Azure Data Factory to streamline data processes, integrate various data sources, and automate workflows. This improved supply chain management by enabling real-time inventory tracking and demand forecasting, reducing overstock and stockouts. The platform also provided insights into customer preferences, enhancing personalized marketing strategies. 

The generative AI capabilities of Azure OpenAI Service further boosted productivity by supporting real-time translations and quality monitoring, benefiting customer care teams in providing timely and accurate communication to a global audience.

Impact

Chanel's adoption of Microsoft Fabric and Azure Data Factory, along with Azure OpenAI Service, has led to significant improvements across various aspects of their operations:

  • Operational Efficiency: Streamlined data processes and automated workflows have reduced manual efforts, leading to faster and more accurate data analysis.
  • Supply Chain Optimization: Real-time inventory tracking and demand forecasting have minimized overstock and stockouts, resulting in cost savings and improved inventory management.
  • Enhanced Customer Experience: Insights into customer preferences have enabled personalized marketing strategies, boosting customer satisfaction and loyalty.
  • Productivity Boost: Generative AI capabilities support real-time translations and quality monitoring, aiding Customer Care teams in providing timely and accurate communication to a global audience.
  • Better Decision-Making: Comprehensive data integration and analysis have empowered Chanel’s leadership with deeper insights, facilitating more informed strategic decisions.

Lessons Learned 

Chanel’s implementation of Microsoft Fabric, Azure Data Factory, and Azure OpenAI Service offers valuable insights and best practices for other organizations looking to use advanced technologies. Key takeaways include:

  • Invest in Integrated Solutions: Leveraging integrated platforms like Microsoft Fabric and Azure Data Factory can streamline data processes and enhance overall operational efficiency.
  • Utilize Real-Time Analytics: Real-time inventory tracking and demand forecasting are crucial for optimizing supply chain management and reducing costs.
  • Prioritize Customer Insights: Understanding customer preferences through data analysis enables personalized marketing and improves customer satisfaction.
  • Leverage AI for Productivity: Generative AI capabilities can significantly enhance productivity, particularly in supporting global customer care with real-time translations and quality monitoring.
  • Facilitate Better Decision-Making: Comprehensive data integration and advanced analytics provide deeper insights, empowering leadership to make more informed strategic decisions.

The Chanel’s case study is available on the Microsoft website, and you can access it by clicking this link: https://customers.microsoft.com/en-us/story/1771914030592960432-chanel-azure-data-factory-retailers-en-france 

Conclusion 

The integration of Azure AI, OpenAI Services, and Microsoft Copilot has positively impacted organizations like Groupama, Lowell, Paysafe, DATEV, and Chanel. From automating routine tasks to providing personalized services, AI has enabled these organizations to improve efficiency and maintain a competitive edge.

To stay innovative and competitive, organizations should embrace advanced technologies like AI. Tools such as Microsoft Power Automate for workflow automation, Azure Machine Learning for building and deploying predictive models, and Dynamics 365 for AI-driven customer relationship management (CRM) can be instrumental for the evolution of organizations regardless of their industry. 

Each organization’s representative should research and keep an eye out for industry-specific tools that can help generate more income, reduce costs, and improve overall operational efficiency. When building new tools, it can be overwhelming to determine what you need, for which purposes, and which processes can be automated or require hands-on human involvement. AI is not a one-size-fits-all solution but rather a complementary tool that can enhance your employees' capabilities.

Fortunately, when deciding whether you need a particular tool, there are companies like ITMAGINATION that can help you make an informed decision and quickly build and implement the desired solution. This ensures that your technology stack is always up-to-date and allows your company to move to the next level.

If you're looking to leverage the power of AI to elevate your business, consider reaching out to us. With our expertise in AI solutions and digital transformation, we can help you navigate this journey and achieve your goals. Let us know how we can support your technological needs and contribute to your success.

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