Static sentiment analysis is a groundbreaking theoretical approach that could reshape the software development process. Here we explain what is static sentiment analysis and how it has the potential to understand developer intent. Read along or jump ahead to the section that interests you most.

Managing and accessing massive datasets is increasingly challenging as the pace of data generation accelerates. Enterprises face growing difficulties in ensuring secure, scalable, and high-performance interaction with data systems while adapting to dynamic requirements. This blog explores how Apache Iceberg and DreamFactory address these issues.

Since 5G networks began rolling out commercially in 2019, telecom carriers have faced a wide range of new challenges: managing high-velocity workloads, reducing infrastructure costs, and adopting AI and automation. Because data management is a key variable for overcoming these challenges, carriers are turning to hybrid cloud solutions, which provide the flexibility and scalability needed to adapt to the evolving landscape 5G enables.

AI has come as a game-changer in plenty of industries, with OpenAI’s GPT series setting the pace in natural language processing and decision-making abilities. The latest edition, GPT-4, promises even more powerful features, like enhanced accuracy, enlarged context window, and improved performance for grape tasks. However, before the adoption of this avant-garde technology, it is necessary to understand how much GPT-4 costs.

Testing without any direction is the same as navigating without a map. It is disorganized, full of errors, weak outcomes, and fraught with risks. This is where test strategy comes into play, for the clarity of the pathway, robust structure of tests, and alignment of the project’s goals. Have a read about how test planning could prove to be a game changer for your organizations.

Today’s policyholders expect fast and reliable insurance service tailored to their needs. Claims organizations need to accurately and efficiently manage claims while balancing the growing demand for speed and reliability. However, operational bottlenecks and lack of business agility continue to delay claims resolutions and increase costs. Leading insurance companies are turning to process automation to improve customer satisfaction and employee experience.