The US government software modernization policy encourages federal agencies, including the Department of Defense (DoD), to leverage investments already made in application development and authorizations to operate (ATOs). The goal of repurposing existing, working applications is to enable agencies to reduce development time and costs by leveraging software that has been purchased and implemented by another team.
The best marketing is truly data-driven, creating powerful product promotions and offers through an understanding of customer needs and preferences. But for many organizations, building this understanding is more akin to solving an ever-growing jigsaw puzzle (with no easy edge pieces!) than reading data insights from a beautiful dashboard.
Without a doubt, 2023 has shaped up to be generative AI’s breakout year. Less than 12 months after the introduction of generative AI large language models such as ChatGPT and PaLM, image generators like Dall-E, Midjourney, and Stable Diffusion, and code generation tools like OpenAI Codex and GitHub CoPilot, organizations across every industry, including government, are beginning to leverage generative AI regularly to increase creativity and productivity.
The Elixir 1.16 release candidate is out now, and it comes with some compelling improvements to diagnostics, documentation, and a few other enhancements that make Elixir an even better choice for developers. We'll dive into some of these changes and highlight Elixir's continued focus on developer happiness and community building. Let's get started!
Static sites (websites) are not new. In fact they’ve been around since the era of Web 1.0. Back in those dim and distant days the internet only had a few contributors, so managing and maintaining a static website was fairly hassle-free, they use to have a couple of static html files. However, the needs of creators and consumers have changed dramatically since then. So we need a new technology to generate static sites, befitting the resources and innovative spirit of the digital revolution.
ChatGPT was synonymous with Generative AI some time back, prompting me to explore its impact on the payments industry in a previous blog. However, it’s crucial to acknowledge that Generative AI is the encompassing circle in the Venn diagram, with ChatGPT being one of the circles nested within it. Today, let’s delve into the broader perspective of how Generative AI is poised to revolutionize the payments landscape.
European logistics, freight and delivery companies require real-time data across their shipping network to meet the needs of the festive season.
We are excited to announce that G2, the world’s biggest and most trustworthy tech marketplace, has continuously acknowledged Katalon as a Leader, Momentum Leader, Easiest To Do Business With, and High Performer in both automation testing and software testing in Winter 2023 with 16 badges! These prestigious awards are prime examples of our strong commitment to establishing innovative solutions and ensuring absolute customer satisfaction.
Historically, only a few AI experts within an organization could develop insights using machine learning (ML) and predictive analytics. Yet in this new wave of AI, democratizing ML to more data teams is crucial—and for Snowflake SQL users, it’s now a reality.
So you’re still processing invoices manually, huh? That's no way to live. If you’ve come here in search of a better way, you won’t be disappointed. Maybe you’ve heard terms like OCR and IDP thrown around and are looking for a little more information to help you get started. I’ll answer questions like What is OCR invoice processing? How is IDP different from OCR? And is one always better? Let’s get into it.
