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How 'Kanban' can help in Agile development?
| August 12, 2016
exaware is a leading global provider of IT, BPS and consulting services. The Company focuses on key domains such as Banking, Financial Services, Capital Markets.
Article | March 3, 2020
Technologies like Artificial Intelligence and Machine Learning will enable wider audience to get access to space analytics and insights. Assisted processes through software created by Machine Learning will enable users to run sophisticated models on their data. That is what I see happening in the next few years. It’s not about replacing, it’s about assisting new types of users to get access to the type of analysis that wasn’t accessible before. Automated Machine Learning is what we are going to be seeing in the coming years. It will expand the customer/ user base of spatial analytics by making it more accessible.
Article | March 15, 2021
Cognitive pathway and heuristic evaluation are two methods used to assess systems’ usability based on cognitive engineering, which uses cognitive psychology knowledge to understand the human mind’s skills and limitations to develop user-friendly systems.
The cognitive pathway is the evaluation of a system's ease of learning by exploring its interface in which the user's tasks are broken down into actions necessary to perform a given task, and heuristic evaluation is the evaluation of the usability level of the user interfaces through basic rules.
Although these two methods are part of the UX discipline, we Tech Writers also use them. Not ipsis litteris, obviously, but abstractly because of what originates them: cognition and heuristics.
Cognition is the psychological function that acts in the acquisition of knowledge through logical associations. Heuristic is the human capacity characterized as discovery and/or invention focused on solving problems through experience and creativity.
The documentation requests we receive do not always come with in-depth technical and functional specifications. It is not uncommon for us to venture into the system alone to learn and discover how, when, where and why certain functionality is being launched.
In our learning and discovery process, we put ourselves in the user's shoes and decompose the necessary actions to carry out their tasks. We test patterns, experiment with basic (and alternative) flows using our experience and creativity to produce complete and detailed documentation.
As we develop knowledge in the system we document, we mainly use the recognition heuristic based on the uptake of memories and the recognition of alternatives. We start having dèja-vu when we perceive similarities between the functionalities we already documented.
Even if our recognition process becomes more organic and fluid, we still smell rats: why does this form have an extra field? What happens if I fill this field with another value?
Tech Writers need to be partly laymen, as there has to be a certain lack of recognition for further inferences to exist. That is why having no background in systems technology can, contrary to popular belief, be extraordinarily favorable for Tech Writers’ training.
Article | April 16, 2021
At VMworld 2020, NVIDIA and VMware shared their vision to work together to democratize and unleash AI for every enterprise. And that’s the case today as the companies roll out a jointly engineered solution that optimizes the latest update to VMware vSphere 7 — for AI applications with the NVIDIA AI Enterprise software suite on Dell Technologies.
The combination of technologies from these world-class companies makes it easier to access a rich menu of accelerated parallel-computing applications, AI frameworks, models and software development kits (SDKs). It gives AI researchers, data scientists and developers the software they need to deliver successful AI projects, while arming IT professionals with the ability to support AI using the tools they’re most familiar with for managing data centers and hybrid cloud environments.
Ericsson (NASDAQ: ERIC) has been selected by Japanese communications service provider NTT DOCOMO as its AI-based optimization solution vendor for its nationwide radio access network (RAN). The companies have been collaborating on introducing new solutions for decades, recently focusing on 5G proof of concept activities. The AI-based Performance Diagnostic solution for RAN optimization is one such effort and result of this collaboration. Leveraging on Ericsson’s global knowledge and experience, and collaborating with NTT DOCOMO’s network optimization expertise, the AI-based Performance Diagnostic solution will apply innovative machine learning and complex problem-solving techniques to classify cell performance issues and recommend changes.
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