Big Data is already known as one of the pillars of technology in this modern day and age. However, its application, combined with machine learning, has exponentially changed the way the various industries uses data. Data analytics is the key to unlock new ways of having a competitive edge in an effort to manage the data transformation journey.
In this workshop, you will learn modelling techniques for your industries and infer big data using analytics to interpret consumer behaviour, identify, evaluate opportunities or detect anomalies.
Blockchain has gone from the esoteric underpinning of Bitcoin to a hyped- up technology that businesses in every sector believe could have a transformational effect. Many enterprises are now heavily investing in blockchain applications. In PwC’s 2018 global blockchain, 84 percent of the 600 executives from 15 territories who responded said that their organisations had at least some involvement with blockchain technology.
In this workshop, you will learn to identify types of blockchains and their specific use cases in the engineering industry and explain the benefits and downsides of blockchain technology.
Cloud and API Economy
API economy is the exposure of an organization’s digital services and assets through application programming interfaces (API) in a controlled way. APIs ensure that the data extracted from one software application is formatted and passed to the next application without change. By exposing the interfaces that allow microservices to communicate with each other, vendors are able to meet the needs of specific groups of customers without having to redesign the organization’s software.
In this workshop, you will learn the digital transformation process and explain bottlenecks of preventing digital transformation within an organisation.
Data Automation, RPA
The biggest problem with Data, is its analytics. Data has been collected in such excessive amounts that we have problems analysing it. Using Robotic process Automation (RPA), companies have figured out how to automate the data analytics process using robots. This provides companies the cost savings in analysing repetitive data and removed human error in such analysis.
In this workshop, you will analyse the difficulty in data analytics and develop AI solutions to handle repetitive tasks in data analytics.
Internet of Things
The “Internet of Everything” is the next big an imminent thing as businesses start to collect data from devices ranging from mobile phones to custom devices. The independent communication between different connected devices can be used to optimize operations, reduce costs, boost productivity and more importantly promote financial inclusion among developing countries. Within a few years,the usage of devices increased from millions to billions and the amount of time spent on these devices has been steadily rising.
In this workshop, you will explain how IoT is enabling data to be collected, in urban or remote areas and provide examples how data collected from IoT devices can be used after analytics.