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Cloud analytics migration: how to exceed expectations

CIO

A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making.

Analytics 146
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Bridging the gap between mainframe data and hybrid cloud environments

CIO

A high hurdle many enterprises have yet to overcome is accessing mainframe data via the cloud. In order to make the most of critical mainframe data, organizations must build a link between mainframe data and hybrid cloud infrastructure. Four key challenges prevent them from doing so: 1.

Cloud 147
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Cloud modernization meets GenAI: new solutions expediate your efforts

CIO

As organizations globally discover new opportunities created by AI, many are investing significantly in GenAI, including as part of their cloud modernization efforts. Many legacy applications were not designed for flexibility and scalability. The result is a more cybersecure enterprise.

Cloud 147
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SAP adoption surges in Europe as enterprises embrace cloud

CIO

Enterprises in Germany, Austria, and Switzerland are accelerating their transition to cloud-based ERP solutions, with SAP playing a key role in their digital transformation strategies. Notably, S/4HANA Private Cloud usage has surged to 33%, up from 11% last year, while S/4HANA Public Cloud adoption doubled to 13%.

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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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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. Conclusion In this post, we’ve introduced a scalable and efficient solution for automating batch inference jobs in Amazon Bedrock. This automatically deletes the deployed stack.

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What is data architecture? A framework to manage data

CIO

Cloud storage. Not all data architectures leverage cloud storage, but many modern data architectures use public, private, or hybrid clouds to provide agility. Cloud computing. In addition to using cloud for storage, many modern data architectures make use of cloud computing to analyze and manage data.

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Serverless and Containers: How to Choose the Right Application Strategy

Speaker: Tolga Tarhan, Senior Vice President, GM AWS Services at Onica

When it comes to the modern tech stack, one of the fastest changing areas is around containers, serverless, and choosing the ideal path to cloud native computing. We are excited to be joined by a leading expert who has helped many organizations get started on their cloud native journey.