If you enjoy the subject of human cognitive biases, you should check out the curse of knowledge. When dealing with others, we tend to assume they know what we know. And we do this when no justification for the assumption exists. Do you fancy a more concrete example? Take a new job and count how many people bombard you with company jargon and acronyms, knowing full well you just started a few hours ago.
Discover the key challenges organizations face during cloud migration and explore actionable solutions to unlock the full potential of the cloud for your business.
Greg Peranich and Tryn Brown contributed to this post. The world of financial services is driven by digital experiences. Over the last 20 years, virtually all banking activities have been taken online (an unfortunate change only for fans of pneumatic tubes and pens on beaded chains). Like other industries that have undergone digital transformation, financial institutions are leveraging APIs to give users a more seamless experience when managing their money.
The recent failures of regional banks in the US, such as Silicon Valley Bank (SVB), Silvergate, Signature, and First Republic, were caused by multiple factors. To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure.
As practitioners of software development, we are all too familiar with the importance of automation. The benefits that automation brings are significant, but its adoption and the realization of its potential can be an ongoing journey, not a destination. It’s not a new concept, yet it continues to evolve and redefine the landscape of software testing.