Here is AITech365’s Weekly Roundup of the top news from global markets. In this fast-paced world, breaking down information helps readers grasp the nuances that follow the news.
In Automation & AI news this week…
🔗 Cognizant Deploys Neuro AI with NVIDIA to Boost Enterprise AI
Cognizant has announced the deployment of its Neuro AI platform in collaboration with NVIDIA to accelerate enterprise AI adoption. This move will empower businesses to develop and deploy AI solutions more efficiently, leveraging NVIDIA’s cutting-edge technology to optimize automation and AI-driven workflows.
In Generative AI news this week…
🔗 Reply & AWS Partner to Drive Scalable, Secure GenAI Apps
Reply has teamed up with AWS to develop scalable and secure generative AI applications for enterprises. This partnership will provide businesses with cutting-edge AI solutions that enhance productivity, optimize customer interactions, and streamline operations using AWS’s cloud-based AI capabilities.
🔗 Kyndryl Expands Google Cloud Partnership for Mainframe Modernization with GenAI
Kyndryl has deepened its collaboration with Google Cloud to bring generative AI into mainframe modernization efforts. This initiative aims to simplify legacy system transformation, helping enterprises accelerate cloud adoption while maintaining security and efficiency.
In Martech & Analytics news this week…
🔗 Wunderkind Unveils Analytics AI Engine & Performance Dashboards
Wunderkind has launched a new Analytics AI Engine and performance dashboards, designed to provide marketers with deeper insights into customer engagement. By leveraging AI-driven analytics, businesses can optimize marketing strategies, enhance personalization, and drive better campaign results.
In Business Technology & DevOps news this week…
🔗 How AI & Automation Are Reshaping Artifact Management in Software Engineering
AI and automation are revolutionizing artifact management in software engineering, streamlining workflows and reducing manual intervention. This transformation is improving efficiency, ensuring secure code repositories, and enhancing software development lifecycles for enterprises.
Article of the Week
🔗 How AI & Automation Are Reshaping Artifact Management in Software Engineering
The integration of AI and automation in artifact management is changing the way software engineering teams handle version control, security, and collaboration. With AI-driven automation, organizations can enhance software quality, improve deployment speed, and optimize resource allocation.
