NUS-ISS Learning Day 2018- Hey Cortana! Microsoft Bot Framework
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The document discusses Cortana and the Microsoft Bot Framework. It provides an overview of Cortana's capabilities, reviews pros and cons of using Cortana bots, and describes how the Bot Framework allows bots to work with Cortana by connecting the Cortana voice channel to backend bot services. Examples are given of how an ISS Cortana bot could provide course and location information to students and visitors.
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1. The document discusses the impacts of generative AI on the future of work.
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As companies increasingly integrate data across functions, the boundaries between marketing, sales and operations have been blurring. This allows them to find new opportunities that arise by aligning and integrating the activities of supply and demand to improve commercial effectiveness. Instead of conducting post-hoc analyses that allow them to correct future actions, companies generate and analyze data in near real-time and adjust their operations processes dynamically. Transitioning from static analytics outputs to more dynamic contextualized insights means analytics can be delivered with increased relevance closer to the point of decision.
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With the use of Predictive Analytics, companies are able to predict future trends based on existing available data. The actionable business predictions can help companies achieve cost savings, higher revenue, better resource allocation and efficiency. Predictive analytics has been used in various sectors such as banking & finance, sales & marketing, logistics, retail, healthcare, F&B, etc. for various purposes.
Get set to learn more about the different stages of predictive analytics modelling such as data collection & preparation, model development & evaluation metrics, and model deployment considerations will be discussed.
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In this digital transformation era, we have seen the rise of digital platforms and increased usages of devices particularly in the area of wearables and the Internet of Things (IoT). Given the fast pace change to the IoT landscape and devices, data has become one of the important source of truth for analytics and continuous streaming of data from sensors have also emerged as one of the fuel that revolutionise the emergence of IoT. These includes health telematics, vehicle telematics, predictive maintenance of equipment, manufacturing quality management, consumer behaviour, and more. With this, we will give you an introduction on how to leverage the power of data science and machine learning to understand and explore feature engineering of IoT and sensor data.
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This document provides information about the Master of Technology in Software Engineering program at NUS. The program focuses on designing scalable, smart, and secure software systems and products. It offers both part-time and full-time study structures, with the part-time program taking 2 years and full-time taking 1 year. Students can choose a structured route taking set courses each semester, or a flexible route completing graduate certificates at their own pace over 5-7 years. General admission requirements include a bachelor's degree in engineering or science with a minimum GPA, 2 years of work experience, and passing an entrance test and interview. Important application dates for the 2023 start are also provided.
Master of Technology in Enterprise Business Analytics
This document provides information about the Master of Technology in Enterprise Business Analytics program at NUS-ISS. It discusses what data science is, who should take the program, sample job profiles of graduates, the courses taught in the program, and the stackable certificate structure. The program can be completed through a structured route of taking certificates back-to-back over 2 years part-time or 1 year full-time, or a flexible route of taking courses anytime over 7 years to earn the Master of Technology degree. Admission requires a bachelor's degree, minimum GPA, English proficiency, 2 years of work experience, and passing an entrance test and interview.
Diagnosing Complex Problems Using System Archetypes
In today’s VUCA world, we are faced with problems coming in fast and furious. In order to resolve such problems quickly, we need to first understand the problems. One of the techniques to understand complex problem is through the use of system archetypes. System archetypes are patterns of behaviour of a system. Let’s us explore some of the system archetypes in this session as well as tips on how to resolve them.
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- 1. “Hey Cortana!” Microsoft Bot Framework #ISSLearningDay2018 Lisa Ong, NUS-ISS 13 July 2018
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- 5. Cortana can run on… #ISSLearningDay2018 https://www.microsoft.com/en-us/cortana
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