AIOps: Enterprise Network Evolution with ML
In this Article we explore the next decade and the potential technology shift in the Enterprises with Artificial Intelligence.
Data Visualization in AI
Let’s learn how data visualization can empower AI algorithms with the visuals required to better understand data and drive better business outcomes.
Proactive Workflows with AI Workload Automation
The meeting of the worlds of AI and workload automation promises great benefits for enterprises grappling with a complex IT infrastructure in an environment where IT is the backbone of operational performance.
AI/ML: Saving the Planet, 1 Dataset at a Time!
Ocean Data Alliance is an organization using AI and satellite images to track coral bleaching, ocean mining, and water pollution to keep oceans clean.
Top 5 Steaming Applications of AI in COVID-19
AI is positively impacting the future of every industry and every human being. AI is acting as a driver for evolving technologies like big data, robotics, and IoT. Post-pandemic AI will be our new reality.
Flattening the Curve with a Smart Healthcare System
The days when a diagnosis was more difficult than a cure are now relegated to history. We are in the age where technologies like IoT, AI, Cloud are powering healthcare systems.
[Infoblog] AI/ML Intelligence for Digital Innovation
You may also want to take a look at how Calsoft helped an organization with an automation framework for product engineering of their ML system.
AI & Retail: What’s Lined Up for a Post-Pandemic World
E-commerce platforms are currently adopting a cautious approach to the situation and focusing on delivering essentials – though things are currently erratic as everyone is waiting for the crisis to tide over.
The Rise of Cognitive QA in the IT Industry
In the future, the delivery cycles will continue to shrink and the pressure on testing will increase. Continuous testing in such times might not be able to keep pace with this.
Search in Artificial Intelligence
Search is a key part of many AI problem-solving strategies that assist in exploring the problem spaces. As explained by Peter Norvig “Normal programming is telling the computer what to do when we know what to do. AI is when we tell the computer what to do when we don’t know what to do.”