Applications Related Topics 
Forrester IT
AUGUST 15, 2024
This is partly because serverless has always struggled from unclean definitions, and despite the lack of infrastructure and application servers to wrangle […] After some notable success stories like the high-profile “serverless-first” Capital One strategy, hype appeared to be dying down.
Forrester IT
MARCH 23, 2021
That meant a lot of application development, as […]. We’d been in quarantine for about three months, and firms had long since realized that they needed to digitally transform their businesses (and fast) in order to survive the new normal.
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Forrester IT
AUGUST 1, 2024
Modern Application Development Services Defined Clients want more autonomy to better control their own innovation and development capabilities to build modern and up-to-date custom applications.
Forrester IT
MARCH 19, 2024
Yesterday, we released The Forrester Wave™: Application Modernization And Migration Services, Q1 2024. We looked at the top 15 vendors in the market and evaluated them across 25 criteria.
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Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.
Forrester IT
JULY 8, 2021
Bots That Write Code Are Landing On Planet Earth The future of work for AD&D pros will have to change! Today about 70% of the work is all about the development of glue code and wiring things together. From the UI front end, to the backend of apps, as well as in the integration layer […].
Forrester IT
AUGUST 28, 2023
There is no proof that Michelangelo said this, but it is a beautiful metaphor apropos to building conversational AI (chatbots and voice self-service) applications with generative AI and large language models (LLMs). “I saw the angel in the marble and carved until I set him free.” At the recent Five9 CX Summit event, I learned […]
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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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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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There’s no getting around it: selecting the right foundational data-layer components is crucial for long-term application success.
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Adding high-quality entity resolution capabilities to enterprise applications, services, data fabrics or data pipelines can be daunting and expensive. Organizations often invest millions of dollars and years of effort to achieve subpar results. This guide will walk you through the requirements and challenges of implementing entity resolution.
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From streamlining the job search process to efficiently navigating the influx of applications, AI-powered tools can revolutionize your recruitment efforts.
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Its expanding range of use cases is witnessing exponential growth, allowing PostgreSQL to effectively target an ever-increasing number of applications while minimizing limitations. PostgreSQL is a highly versatile and robust technology, capable of addressing a wide range of challenges in diverse environments.
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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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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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