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Elevate your digital transformation with impactful sustainability

CIO

With the paradigm shift from the on-premises data center to a decentralized edge infrastructure, companies are on a journey to build more flexible, scalable, distributed IT architectures, and they need experienced technology partners to support the transition. 2] Dell Technologies, Advancing Sustainability. [3]

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A Case Study on Building Modern Analytics Architectures That Scale

Datavail

As data volumes continue to grow, the systems and architectures need to evolve. As data volumes grew, more teams needed to access reports, and the data environment became more complex, they realized that the existing architecture couldn’t provide the quality and accessibility they needed. On-premises systems were costly.

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Leveraging Serverless and Generative AI for Image Captioning on GCP

Xebia

In my recent endeavor, I explored a seamless integration of serverless architecture with the power of generative AI to auto-caption images on Google Cloud Platform (GCP). It’s efficient, scalable, and harnesses the best of cloud and AI! These images, when uploaded, act as the trigger for our event-driven architecture.

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How modern CIOs are freeing up time to lead strategy

CIO

But most importantly, without strong connectivity, businesses can’t take advantage of the newest advancements in technology such as hybrid multi-cloud architecture, Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML) and edge micro data centre deployment.

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Best Practices for Deploying & Scaling Embedded Analytics

Read more about how to simplify the deployment and scalability of your embedded analytics, along with important considerations for your: Environment Architecture: An embedded analytics architecture is very similar to a typical web architecture. Deployment: Benefits and drawbacks of hosting on premises or in the cloud.

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Perficient Included in Forrester Trends Report: Rethink Enterprise Applications Governance

Perficient

Additionally, data federation and generative AI play important roles in enhancing the adaptability of modern architectural frameworks. Our tailored approach ensures that organizations can maximize the benefits of modern architecture while effectively navigating the complexities of digital transformation.

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It’s Time To Update Your Data Lake Ingestion Strategy

Perficient

In high-velocity data environments where time-sensitive decisions are made, Change-Data-Capture is an excellent fit to achieve low-latency, reliable, and scalable data replication. Organizations need to update their data strategies and need to move more towards Change-Data-Capture based data architectures.

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