Data science, analytics, artificial intelligence and cyber security are connected fields with different purposes. Analytics helps people interpret data. Data science develops methods for extracting insights. AI supports tasks such as prediction and automation. Cyber security protects systems and information.
Together, these disciplines influence how organisations operate and make decisions. UNSW Online's technology and data articles help you explore the relationships between different areas of digital work.
If you are deciding where to develop your knowledge, consider the problems you want to solve and the skills your role requires. Understanding those needs can help you choose which topics to explore further, whether your interests are technical, commercial or a combination of both.
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Careers in FinTech: Industries, skills and requirements
June 7th, 2022On 1 July 2020, Australian banks launched their open banking system, which allows bank customers to give accredited third parties access to their bank records.
Machine learning vs deep learning: Differences and similarities
May 25th, 2022“Machine learning” and “deep learning” are often considered interchangeable terms.
Top 5 data visualisation tools
May 17th, 2022Big data can be an important tool for business. When it’s properly harnessed, it can provide insights that can lead to smarter growth and stability strategies.
A career in ethical hacking: Key lessons from an ethical hacker
March 1st, 2022When he was US Secretary of Defense, Donald Rumsfeld made famous the concept of known knowns, known unknowns and unknown unknowns.
All about the online Master of Financial Technology at UNSW
January 12th, 2022In an increasingly technology-driven world, the Financial Technology (FinTech) industry has grown rapidly.
It’s not just the salary: Why FinTech is the industry you need to be in
January 12th, 2022The Financial Technology (FinTech) industry has seen rapid, exponential growth in recent years with the shift away from traditional finance settings like physical banks.