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Reimagine application modernisation with the power of generative AI

CIO

In a global economy where innovators increasingly win big, too many enterprises are stymied by legacy application systems. Modernising with GenAI Modernising the application stack is therefore critical and, increasingly, businesses see GenAI as the key to success. The solutionGenAIis also the beneficiary.

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Reimagine application modernisation with the power of generative AI

CIO

n a global economy where innovators increasingly win big, too many enterprises are stymied by legacy application systems. Modernising with GenAI Modernising the application stack is therefore critical and, increasingly, businesses see GenAI as the key to success. The solutionGenAIis also the beneficiary.

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With critical thinking in decline, IT must rethink application usability

CIO

Usability in application design has historically meant delivering an intuitive interface design that makes it easy for targeted users to navigate and work effectively with a system. Together these trends should inspire CIOs and their application developers to look at application usability though a different lens.

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Reimagine application modernisation with the power of generative AI

CIO

In a global economy where innovators increasingly win big, too many enterprises are stymied by legacy application systems. Modernising with GenAI Modernising the application stack is therefore critical and, increasingly, businesses see GenAI as the key to success. The solutionGenAIis also the beneficiary.

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Is Your Test Automation Keeping Up With Your Codebase?

You will discover how AI can automatically generate and maintain test cases, adapt to changing applications, and identify high-risk areas before problems reach production. This guide illustrates how engineering leaders leverage AI to enhance the resilience and scalability of testing.

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. This strategy results in more robust, versatile, and efficient applications that better serve diverse user needs and business objectives. In this post, we provide an overview of common multi-LLM applications.

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4 application modernization trends for 2025 and beyond

DevOps.com

The application modernization services market, which was estimated at $19.82 Although legacy application modernization can be driven by various factors, it typically aims to improve software reliability, scalability, or security. billion in 2024, is expected to reach $39.62 Agentic AI Might Be the Fix. Cultural Debt vs.

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The Essential Guide to Analytic Applications

Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success?

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Five years ago they may have. But today, dashboards and visualizations have become table stakes. Brought to you by Logi Analytics.

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Modernizing Workloads with the Cloud: How to Improve Performance & Reduce Costs

By modernizing and shifting legacy workloads to the cloud, organizations are able to improve the performance and reliability of their applications while reducing infrastructure cost and management.

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4 Approaches to Data Analytics

The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data. 4 common approaches to analytics for your application. How do you differentiate one solution from the next? You’ll learn: The evolution of business intelligence. The pros and cons for each option.

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Optimize the Performance of Your Serverless Functions

In this new product brief from Datadog, you’ll learn how Datadog Serverless Monitoring enables you to visualize your services and their dependencies, gain actionable insights into how the performance of your serverless applications impacts your customers, and tips to monitor the health of your applications in a serverless environment.

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Best Practices for Deploying & Scaling Embedded Analytics

Embedding analytics in your application doesn’t have to be a one-step undertaking. In fact, rolling out features gradually is beneficial because it allows you to progressively improve your application. Application Design: Depending on your capabilities, you can choose either a VM or a container-based approach.

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UX and Design Tips for Better Dashboards: Product Manager Laura Klein Explains How to Improve Your Analytics

Speaker: Laura Klein, Principal at Users Know and Author of UX for Lean Startups

That's why Laura Klein, product manager and UX designer, has a set of tips to help application teams improve their embedded dashboards and reports. Join Laura as she offers prescriptive advice you can apply to your application, plus new ways to approach empathetic design. And yet we have so many of them in our lives.