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We had another full house for our encore ‘Lunch & Learn’ session about ‘Chatbots for Customer Service’ at our office in Richardson, Texas. There were plenty of strong use cases for Chatbots across the board and some really good discussions about when it makes sense to deploy Chatbots in an organization. Even with all the diverse requirements, one thing was for sure, as a complement to human customer service, Chatbots combined with traditional support can help provide a level of service customers are demanding. Hot technologies always seem to grow at a fast pace, but we’ve never seen anything grow like Chatbot implementations have in the last 12 months.

Our goal was to educate, show real examples, and help the attendees envision how Chatbots could help improve customer service in their company. If anything, they can help customer service agents engage in more interesting requests and more value-add responses to customers, while Chatbots can provide instant answers to many questions that customers want immediate answers to. If implemented correctly it is a Win-Win-Win. A win for customers and their service experience, A win for customer service agents, and A win for the company from a cost perspective and a customer service perspective.

During Android application testing, I explored cross-app functional UI testing and came across a tool, labeled “UI Automator. So, I shifted my focus towards Python wrapper written for UI Automator testing framework and I used the same to test UI interfaces in Android, since I was comfortable with Python. * Python — in this demo I have used Python 2.7.10 * Android Device/Emulator (OS 4.3 above) connected to system using ADB * IDE for Python, currently using pycharm Now, let me guide you through how to launch the “Google Clock” application and set an alarm using the UI Automator & UI Automator Viewer, which is used to amass information of UI components available on the target device screen. Access the targeted application and note down the UI details required for automation Similarly, use the Uiautomatorviewer tool and get the UI components of the ‘Clock’ application and generate the script for accessing ‘Clock’ to set an alarm.

Erroneous repetitive processes dramatically increase the productivity risk of manufacturing companies and smart leaders of these companies are embracing RPA to enhance their productivity and outcomes. Robotic Process Automation is endorsed by industry leaders since RPA not only speeds up process performance but also ensures accuracy. In 2018 the expenditure on robotic process automation is expected to reach 898 million US dollars globally against 542 million US dollars in 2017. As implementing traditional automation systems would be highly time consuming and delays production further, deploying RPA is the most recommended choice to improve data accuracy, develop product faster and ship product on-time.