Systems | Development | Analytics | API | Testing

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Revolutionizing Finance: Harnessing the Potential of Generative AI for Growth and Security

Gartner predicts that generative AI will be a workforce partner for 90% of companies globally by 2025. However, Alexander Bant, Gartner Finance’s chief of research, expressed a contrasting view at the Gartner CFO & Finance Executive Conference in Sydney in February 2024. He noted, “The large majority of CFOs continue to be displeased with the performance of digital investments across their organization.”

Export STIG Rule Violations via Klocwork's Desktop STIG Viewer

In this video, we show you how to export STIG rule violations to the Klocwork Desktop STIG Viewer, and how to display a complete list of all the vulnerabilities discovered during a static analysis of your code. Klocwork’s coverage for the DISA STIG rules is especially useful for federal accounts that have an obligation to demonstrate NIST RMF compliance for software to be deployed in a federal environment (e.g., the U.S. DoD).

What CXOs Should Learn from the Gartner Hype Cycle: AI, Clouds, Security and More

Making informed decisions on technology adoptions and ensuring the sustained growth and relevance of the organization in the market has never been more exciting than in the current times we live in. The Gartner hype cycle is a valuable tool in this pursuit with all its insights into the timing, adoption, and potential benefits of various technologies.

Api Integration - Importance And Best Practices

In today’s digital world, applications need to communicate with each other to provide users with seamless experiences. This communication is often made possible through APIs (Application Programming Interfaces). API integration is a process where different software systems are connected using APIs, allowing them to share data and functionalities. Let’s delve deeper into what API integration is, how it works, and why it’s crucial for modern software development.

Fueling Enterprise Generative AI with Data: The Cornerstone of Differentiation

More than two-thirds of companies are currently using Generative AI (GenAI) models, such as large language models (LLMs), which can understand and generate human-like text, images, video, music, and even code. However, the true power of these models lies in their ability to adapt to an enterprise’s unique context. By leveraging an organization’s proprietary data, GenAI models can produce highly relevant and customized outputs that align with the business’s specific needs and objectives.