Kanban: A Powerful Enabler For Remote Work Teams
Kanban is a visual system for managing work, as it progresses through a process. A good example of Kanban is the way milk delivery was
Next generation AI-driven Enterprise Agility Platform for successful Digital Transformation Initiatives.
Built with guidance from Kanban guru David Anderson to Visualize your work, improve Flow and maximize Value to customers.
Visual, Easy to Use, fully configurable tool built on Lean principles for Scaled Agile Teams to manage their SAFe® implementations.
Powerful Project Insights via AI and ML. RISHI-XAI is Digite’s next generation XAI (eXplainable AI) enabled Enterprise Project Intelligence product.
Enterprise-class ALM Integration technology with full Roll-back and Recovery that supports a wide range of ALM, DevOps, Helpdesk, CRM and other tools.
Swiftly is an easy to use, Powerful Analytics and Benchmarking tool that gives you rich insights from data that is locked up in your workflow tools.
Enabled better visualization of workflow and earlier identification of blocked work items. Reporting has helped to identify trends for focus. Ease of use meant we ditched other bug tracking tools and used SwiftKanban in preference to a dedicated bug tracker.
The reason we chose Swiftkanban over its competitors were for a couple of reasons: We felt overall its functionality suited what we wanted, it was endorsed by David Anderson, (it was) recommended by eDreams and (the) pricing was better.
To be honest, SwiftKanban was the only “professional” solution that we could install on our own server. In general, I love the product! You also care about your customer and it was great to work on a Docker solution for the installation.
SwiftKanban supported the most robust set of features, including drag-and-drop interface, ability to configure boards (from simple to complex), the ability to define our own card types.
Kanban is a visual system for managing work, as it progresses through a process. A good example of Kanban is the way milk delivery was
Machine learning (ML) is a technology or concept that allows the machines to learn from the data (example and experience) provided by us, examine them and then predict future outcomes in whatever context it is being applied in. Unlike other applications, it doesn’t require coding or programming for its learning. However, an important part of ML is algorithms.
Many companies who have shifted to remote working have observed lower productivity since their employees are used to the conventional ideas of problem-solving by increasing