DATA & ANALYTICS
THE NEED TO DESIGN A SECURE AND COMPLIANT DATA & AI STRATEGY
Business leaders looking to adopt data-first strategies face significant challenges , such as the challenges associated with new technologies like AI models
WRITTEN BY : MARCUS LAW
Today , organisations often apply data-driven approaches sporadically , leaving value on the table and creating inefficiencies . McKinsey & Company predicts that , by 2025 , nearly all employees will naturally and regularly leverage data to support their work .
This transition to a data-driven mindset will enable organisations to make better decisions as well as automating basic day-to-day activities and regularly occurring decisions . Employees will be free to focus on more ‘ human ’ domains , such as innovation , collaboration , and communication .
However , business leaders who are looking to adopt a data-first strategy are facing significant challenges : from the increasing pressure and demands from customers to invest in new technology , such as AI , to the requirement of satisfying stricter and increasingly complex data security , data governance and regulatory requirements .
To navigate these challenges , there are a number of critical steps a data-driven business must take . At the centre and as a necessary first step , they need to choose a modern , data and AI cloud platform with governance , security and compliance baked into its very foundation .
118 October 2023