Building the foundations for generative AI

WhatsApp Group Join Now
Telegram Group Join Now
Instagram Group Join Now

Governments and public service agencies are looking to move forward with creative AI. A recent study by McGuide Research Services for Avanade found that 91% of organizations in the sector believe they need to transition to an AI-first operating model within the next 12 months, while 87% of employees feel that creative AI Tools will make them more efficient, and more innovative.

Yet making this change is not simply a matter of adopting creative AI tools and hoping that alone will lead to success. Without a modern data platform and an effective supporting cloud infrastructure, organizations can kill their progress from the start.

Modernization of data is very important. Generative AI tools are only as accurate and efficient as the data they can access, and while government and public service agencies may have invested in their data infrastructure, it still lacks the requirements of generative AI. May not be suitable for There is still work to be done in developing a cloud-first infrastructure that is secure by design, where data can be accessed through composable APIs that are unified, secure and integrated with both existing business applications and AI systems. This requires skills that firms may not have in-house. Data also needs to be organized, interpreted and labeled to meet the needs of creative AI. No wonder the CIO’s 2023 AI Priorities study found that data integration is the number one concern for IT leaders ahead of generative AI integration, security and privacy and user experience.

It looks like a great job. Applications and infrastructure may need to be further modernized and workloads moved from on-premise hardware to a private or hybrid cloud. Microsoft Fabric could be a way to deal with this. It provides organizations with the platform and tools they need to support their drive towards generative AI. It unifies all data on one platform, including data integration, engineering, and warehousing, where it can be used for data science, real-time analytics, and business intelligence – and for natural language queries and creative AI. It can be accessed by force. All data is kept at the heart of the lake, and is protected by a robust, universal security model, with data loss prevention and protection of sensitive data, and auditing and forensic investigation features first. including from

Optimizing for creative AI

Microsoft Fabric is typically hosted on a SaaS solution, the same solutions and clouds most governments and public service agencies will already be operating on. Yet building an AI-ready infrastructure may require organizations to dig deep into consolidating and optimizing their existing clouds. Poor performance, cloud sprawl, lack of integration and unpredictable cloud costs can also affect the success of generative AI initiatives, so organizations should examine and optimize their cloud provisions before jumping headlong into deploying AI tools. Required.

“We see tremendous potential for public sector services from Microsoft Fabric,” says Darren Brown, Government and Public Services Lead for Avanade. “We know that despite agencies investing well in data warehouses and data lakes, there’s still a lot to do. Fabric may be the answer for agencies that are data-driven, but time or To truly realize it without people.”

Beyond data platforms and cloud infrastructure, agencies and organizations will need to support their workforces to adapt to new tools and processes. Because without the right training, management and integration, they will be unable to realize the benefits of AI investments.

If all of this seems daunting, Avanade can help. Avanade has significant expertise and experience with Microsoft Fabric and Microsoft Copilot, and the tools and capabilities to help organizations modernize their data platforms and integrate AI into processes and workflows. Avanade can also help agencies prioritize and modernize their data platforms and their applications, while Avanade Cloud Impact uses AI and machine learning to understand cloud usage, identify issues and reduce costs. and can use to find opportunities for improvement.

To learn more about creative AI development and the next steps in your journey, visit: Government and Public Services | Avanade.

WhatsApp Group Join Now
Telegram Group Join Now
Instagram Group Join Now

Leave a Comment