Maintaining trust in the business services your customers rely on is everything. With ever-increasing customer expectations and the promise of ‘always-on’ services, poor digital experiences and outages can cause significant harm to your business. The Interlink Software AIOps and Observability platform strengthens IT teams’ capability to deliver more reliable, available digital services and reduce the risk of customer impacting disruption.

In this series of blog posts, we speak with database professionals from Financial Services organizations around the world to better understand how DevOps is shaping the sector. On the way, we dig into key current factors including the rise of technology upstarts in fintech and insurtech, the speed of digital transformation and the ever-increasing threat of cyberattacks. First up, we speak with Hamish Watson, DevOps Alchemist and Managing Director at Morph IT Consulting.

Finding trained FP&A professionals isn't too much trouble for most companies. The tricky part is finding a candidate who has the right combination of technical and soft skills for your organization’s needs. The following interview questions will help you find a qualified FP&A professional for your company. Listen to their responses to get a sense of their reasoning, expertise, situational awareness, ambition, and individual attitude towards various aspects of the FP&A profession.

Fintech apps are booming as mobility has penetrated the financial industry significantly. Do you want to build an engaging fintech app that helps you better reach out with your financial offerings to customers? Since there is enormous competition in the market, it will not be accessible unless you follow the best development practices and principles. This is why we are here to provide a comprehensive guide to Fintech app development, budget, and all the steps leading to a successful app product.

The adoption of AI/ML in financial services is increasing as companies seek to drive more robust, data-driven decision processes as part of their digital transformation journey. For global banking, McKinsey estimates that AI technologies could potentially deliver up to $1 trillion of additional value each year. But productionising machine learning at scale is challenging.

In the last few years, fintech enterprises have disrupted the financial services and banking industry by taking everything computing technology offers – from machine learning to blockchain – and turning it up a notch. Traditional financial institutions must now compete with challenger banks offering electronic payment alternatives, peer-to-peer lending, and investment apps.

It is no surprise that cybercriminals are after the money, and banks have plenty lying around. They also have gobs of data, making banks irresistible to hackers who have a field day attacking complex banking IT systems flush with more connections than a movie agent. Here are a few recent facts to know.