01 Sep

Software 2.0

Machine learning is one of the fastest growing fields of AI and presents immense opportunities for enterprise use cases however, there are number of challenges too. Machine learning is data intensive and requires lot of training data upfront to train the model to get good accuracy. Also, if the data…

01 Sep

DevOps

Current software development is either mostly manual or the automated processes are disjoint and leveraged by different teams not talking to each other. For example, we may have testing team leveraging automation for their performance testing and UI testing but not for back end testing. Then in the same project,…

01 Sep

AI Strategy

Thinqe has developed a methodology for designing a bespoke strategy for businesses to become AI mature. This involves analyzing current state, understanding the expectations of the client in terms of AI maturity, assessing the gap and developing a detailed map with measurable steps. The main steps of AI strategy design…