The integration of Artificial Intelligence (AI) into business is not a new concept, but we have reached a point where the focus has shifted from early adoption and research & development (R&D) to understanding how it can deliver true value through investment. This can come in the form of automation across various industries, or by
Big data, along with other emerging technologies such as artificial intelligence (AI), machine learning, and robotics, is helping to transform various industries across the globe, including the banking sector. Big data is a result of the need to process data sets that have become too large and complex for traditional tools to handle. By aggregating
Insurance is a means of protection against financial loss and a form of risk management used to hedge against uncertain contingencies. Big data analytics can greatly improve the claims processing process in the insurance industry. Here are six ways in which it can be used: Fraud Detection: Big data analytics can improve the detection of
The world is transitioning towards the Fourth Industrial Revolution (4IR) or Industry 4.0, and it is crucial to be proactive in adapting to these changes rather than being passive and reactive. Smart factories, robotics for remote site operations, driverless vehicles, and AI-powered legal and judicial systems are just some examples of the new efficiencies emerging
In this post, we will be discussing the challenges of Big Data in the Telecommunications Industry, including Volume, Variety, Complexity, and Velocity. Volume: With the rise of 5G mobile networks, operational data generated from each call or session is increasing dramatically. The addition of GPS, location-based services, and social media is adding to this deluge
When enterprises enable IT-OT convergence, they embarked into data-rich sectors, making them to become critically in need of having the most effective technology to utilise and transform the data into useful insights. For a certain simple data analysing process, hiring data scientists and even machine learning engineer is unfortunately a cost consuming action. No-code AI
If you follow the global trends and news, you will notice the no-code/low-code as emerging technologies and trends help to eliminate IT skills shortage. Without AI and robotics, it did help to cut 3 millions jobs by 2022 alone, under various names (from downsizing, rightsizing, merge and acquisition). This is the reason why no one
With data being the center of everything in determining the success and growth of organisation today, the need to implement an Artificial intelligence (AI) technology is undeniable. Through AI technology implementation, organisations will be able to better enhance productivity and efficiency. Over the years, adoption of AI technology in organisation or industries is always hinder
As the business world evolves, companies in all industries must adapt in order to stay competitive. The banking sector is no exception, as it faces new challenges such as the rise of internet and digital-first banking, fintech and insurtech, and the shift towards cashless societies through mobile payments. With increased competition from other sectors and
In the recent years, the world had come to realise the extensive need to accelerate digital transformation where subsequently ‘every company need to be a software company’ had becoming an important vision in organisations to let them move towards a resilient and successful business. Significantly, this vision actually means that regardless of industries, an organisation