Financial Institutions (FIs) need to respond with agility and business velocity to keep pace with changing economic conditions. Yet, emerging competition from fintechs and challenger banks and increasing customer expectations is making this task difficult, especially as regulatory and compliance requirements increase. Embracing the next phase of digital transformation is an imperative for financial institutions to sustain and grow in a competitive environment of rising cost pressures.

Large enterprises usually have more than 1,000 systems running. Even smaller organisations may have hundreds of applications in their public cloud spaces or on their servers. In this world of IT systems, application migrations are common for the following reasons: In addition to these three general motivations, there is a growing repatriation trend. The public cloud provides the optimal environment for most systems but not for all. For some systems, private cloud hosting can be more cost-efficient.

Enterprises are looking to capitalise on the new wave of small form-factor computing and navigate the shift to the edge. Device manufacturers across the world are racing to build embedded, connected devices that will deliver on the promise of the fourth industrial revolution. Many of them are looking to explore data-driven value-chain optimisations, predictive maintenance and or new digital customer experiences.

AI/ML is reinventing the reality of many industries, including retail. From brick-and-mortar stores to online marketplaces, retail companies are all increasing their investments in artificial intelligence, in order to gain a competitive advantage, better understand their customers and solve some of their long-lasting problems.

So you have just installed the latest antivirus and turned on your shiny new firewall. Now your organisation is fully secure, right? The reality is that all the security products in the world will never be able to fully protect your data centre or your business from security threats. Because of the asymmetry between attackers and enterprises, cybersecurity is a problem that can never be solved and is never going away.

The pandemic has accelerated the trend toward remote working environments but it also pushed governance and security issues to the top of the priority list for IT departments within financial institutions. Employees, and developers in particular, need the technological agility to work remotely given the hybrid workplace model being adopted by the majority of organisations.

Designing a production service environment around Apache Kafka that delivers low latency and zero-data loss at scale is non-trivial. Indeed, it’s the holy grail of messaging systems. In this blog post, I’ll outline some of the fundamental service design considerations that you’ll need to take into account in order to get your service architecture to measure up. Let’s start with the basics.

15 November 2022: Canonical announced today the availability of new enterprise-grade Ubuntu images designed for next-gen Intel IoT platforms. Purpose-built for industrial environments and use cases, the latest Ubuntu images on Intel hardware deliver the performance, safety, and end-to-end security enterprises expect from the most widely used Operating System (OS) among professional developers with latest Intel technologies pre-enabled and available.

The use of cloud computing by financial institutions has significantly increased in the last few years, a trend that was further accelerated by the COVID-19 pandemic. In the next few years, financial institutions will need to continuously balance the pressure to innovate quickly while managing risk and combating financial crime.

RAN has incrementally evolved with every generation of mobile telecommunications, thus enabling faster data transfers between user devices and core networks. The amount of data has increased more than ever with an increase in the number of interlinked devices. With existing network architectures, challenges lie in handling increasing workloads with the ability to process, analyse and transfer data faster. The 5G ecosystem requires virtual implementations of RAN.