MALAYSIAN banks are steadily embracing digitalisation and are expected to focus more on investment in technology for the next three years to ensure further growth. A study by Ernst & Young (EY) on Global Banking Outlook 2018 revealed that 66% of the research respondents target to reach digital maturity by 2020
Medical records, prescriptions, wearables like the Fitbit and Apple Watch and even social media all contain potentially valuable health information. With the size of the digital universe continuing to grow exponentially, and the promise of next gen tech like AI and machine learning promising instant transformation.
If you are like most organizations, your analytics program is not ready for advanced analytics technologies such as machine learning. Here are a few steps to take to get you closer, or a way you can leapfrog the work to reap the benefits now.
Digital transformation (DX) in the worldwide banking industry is characterized by the ability to use technology to break out of the constraints forced by legacy systems and processes and enable a more efficient and responsive institution. While all banks worldwide acknowledge the importance and complexity of transforming their businesses to compete in this new digital economy.
SearchCIO invites a variety of IT experts to shed light on the big IT issues and help CIOs in their jobs. It’s a job that seems to get bigger by the day, as companies scramble to keep up with a society that is increasingly shaped — some might say ruled — by technology.