The future impacts of artificial intelligence (AI) on society and the labour force have been studied and reported extensively. In a recent book, AI Superpowers, Kai-Fu Lee, former president of Google China, wrote that 40 to 50 per cent of current jobs will be technically and economically viable with AI and automation over the next 15 years. Artificial intelligence refers to computer systems that collect, interpret and learn from external data to achieve specific goals and tasks. Unlike natural intelligence displayed by humans and animals, it is an artificial form of intelligence demonstrated by machines. This has raised questions about the ethics of AI decision-making and impacts of AI in the workplace.
Due to the ubiquity of computers, data are represented, presented to users, and interpreted in numerous ways. There are heterogeneous data formats, semantics, and languages even and especially within the same organisation. One way to use information systems to support decisions that require integrating heterogeneous data is to build a new system with uniform data characteristics. Many companies have purchased Enterprise Resource Planning (ERP) software [Cameron et.al.
LONDON [10th May 2018] – Inawisdom, announced today that it has achieved Amazon Web Services (AWS) Machine Learning (ML) Competency status. Achieving the AWS ML Competency differentiates Inawisdom as an AWS Partner Network (APN) member that has built solutions that help organisations solve their data challenges, enable ML and data science workflows that enhance business applications with machine intelligence. Attaining the AWS ML Competency, demonstrates to our customers that Inawisdom has validated ML expertise and experience on AWS. "We are absolutely delighted to achieve AWS ML Competency status as this recognises the great customer projects that Inawisdom has already completed and the hard work of such a talented team," said Neil Miles, CEO. "The ability to help customers outperform the market by discovering wisdom from their data assets is made possible by leveraging the agility and power of AWS." AWS is enabling scalable, flexible, and cost-effective solutions from startups to global enterprises.
In a previous post I talked about competency-based learning and how this might be the ultimate approach to education. I recommend you having a read of the entire post, but I also know that time is money, so I'll give you the TL;DR version below: Students attend courses, do assignments, get credits and eventually graduate based on what they know, not on how much time it took them to gain that knowledge. As long as they can prove mastery of a certain acquired skill, they can finish a course much sooner than a traditional education system allows, saving both time and money. The great degree of flexibility that comes with a competency-based learning program is perfect for self-directed learners, and especially those that need to balance work and family commitments while studying for a degree. Adopting a competency-based learning program or considering shifting the entire functioning of an educational institution based on it is an attractive and also challenging perspective.