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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning - AI

Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. Building a generative AI application SageMaker Unified Studio offers tools to discover and build with generative AI.

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Empower your generative AI application with a comprehensive custom observability solution

AWS Machine Learning - AI

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. In this post, we set up the custom solution for observability and evaluation of Amazon Bedrock applications.

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Integrating Key Vault Secrets with Azure Synapse Analytics

Apiumhub

Azure Synapse Analytics is Microsofts end-to-give-up information analytics platform that combines massive statistics and facts warehousing abilities, permitting advanced records processing, visualization, and system mastering. What is Azure Synapse Analytics? Why Integrate Key Vault Secrets with Azure Synapse Analytics?

Azure 91
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Part 1: A Survey of Analytics Engineering Work at Netflix

Netflix Tech

This article is the first in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Subsequent posts will detail examples of exciting analytic engineering domain applications and aspects of the technical craft.

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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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Exceptional User Experience — Every Application, Every Transaction

Palo Alto Networks

They need to ensure users can access business applications without delay or disruption. But, modern applications, built with microservices, rely on multiple interdependent systems, where a single click on a webpage can load hundreds of objects. They ensure seamless user and application experiences across diverse network deployments.

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Instabug Leverages Generative AI to Automatically Fix Mobile Applications

DevOps.com

Instabug today revealed it has added an ability to both analyze mobile application crash report data and source code, to better pinpoint the root cause of issues accurately, which it then feeds into a proprietary generative artificial intelligence (AI) platform, dubbed SmartResolve, that automatically generates the code needed to resolve it.

Mobile 122
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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. Choosing the best solution for your dashboards and reports starts with understanding the types of analytics solutions on the market. 4 common approaches to analytics for your application.

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Monetizing Analytics Features

Think your customers will pay more for data visualizations in your application? Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics.

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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. Brought to you by Logi Analytics. Five years ago they may have. But today, dashboards and visualizations have become table stakes.

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What is Contextual Analytics? The Next Evolution of Embedded Analytics

Download this whitepaper to learn what contextual analytics is, how BI platforms like Yellowfin revolutionize the way users discover insights from their data with native contextual analytics, and how it adds value to your software solution by elevating the user experience.

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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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The Definitive Guide to Embedded Analytics

Every application provider has the same goals: to help their users work more efficiently, and to drive user adoption. But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. It will show you what embedded analytics are and how they can help your company.

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Monetizing Analytics Features: Why Data Visualization Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Turning embedded analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Discover which features will differentiate your application and maximize the ROI of your embedded analytics.

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How To Package & Price Embedded Analytics

Just by embedding analytics, app owners can charge 24% more for their product. This framework from Software Pricing Partners explains how application enhancements can extend your product offerings. How much value could you add?