Computational chemistry relies on large volumes of complex data in order to provide insights into new applications, whether it’s for electric vehicles or new battery development. With the emergence of generative AI (GenAI), the rapid, scalable processing of this data has become possible and critical to investigate previously unexplored areas in catalysis and materials science.

The recently published Independent Investigation of the National Health Service (NHS) in England offers valuable insights into the current challenges faced by one of the world’s largest healthcare systems. Among the many findings, the report highlights significant issues with patient access, quality of care and system performance.

According to Stack Overflow’s recent survey, 62% of developers share a common concern – a growing and never-ending technical debt. Arpita Goala , Content Marketing Manager September 26th, 2024 Technical debt or tech debt is often an unintended and unavoidable consequence of software development. With the speed at which technologies and products evolve, technical debt is something that every quality assurance (QA) team must deal with.

Self-service kiosks have rapidly become a staple in the retail landscape, symbolizing the growing trend toward automation in customer interactions. In 2023, the global self-checkout market was valued at approximately $4.5 billion, with estimates suggesting it could reach between $5.2 and $6.0 billion by the end of 2024. This surge is driven by increasing consumer demand for convenience, technological advancements, and the pursuit of more seamless shopping experiences.

ERP providers constantly seek ways to enhance their offerings, streamline operations, and provide superior value to their clients in the ever-evolving landscape of enterprise software. One of the most transformative strategies in this domain is the integration of iPaaS (Integration Platform as a Service). This blog post explores how partnering with an iPaaS can significantly boost an ERP provider’s capabilities, offering strategic advantages and substantial ROI.

For the last 10+ years, Docker has been one of the leading technology tools for helping developers build, run, update, and manage containers. It is one of the most widely used containerization tools available, able to work with Linux, Microsoft Windows, Apple MacOS, and all of the leading cloud service providers. With over 20 million monthly users, you’ve likely used Docker before, whether for your own projects or as part of a larger team.

There’s no question which technology everyone’s talking about in retail. Generative AI continues to promote incredible levels of interest with its promise of next-level productivity and new kinds of employee and customer experience. It’s all happening at light speed. When ChatGPT burst onto the scene, it gained hundreds of millions of users in a matter of months.

While data lakes make it easy to store and analyze a wide variety of data types, they can become data swamps without the proper documentation and governance. Until you solve the biggest data lake challenges — tackling exponential big data growth, costs, and management complexity — efficient and reliable data analytics will remain out of reach.

In the ever-evolving digital world, the security of web applications has never been more critical. At Starwest 2024 conference, this interesting topic took center stage, highlighted by Tom Stiehm, the CTO of Coveros, during his insightful session, "Web Security Testing: The Basics and More" Stiehm highlighted reality: as businesses increasingly rely on web applications to access sensitive information, protecting these systems has become a primary aspect of software testing.

How are AI governance and data governance related? Better still, what’s more important for an organization to focus on, AI-powered data governance or AI data governance? These are important questions, but before we answer these, let’s understand how AI and data governance are related to each other.