Kris Sharma

Financial services are powered by technology. The customer experience is increasingly driven by data, with tailoring of products and services to reflect individual behaviors and preferences. All of this rests on a foundation of secure, stable technology that can support agility and flexibility to adapt to customer needs, whilst at the sam

Digital innovation is transforming finance. Advances in financial technology such as mobile money, peer-to-peer (P2P) or marketplace lending, robo advice, and insurance technology (InsurTech) are reshaping many areas –  from payments to wealth management. Over the past decade, fintechs have already driven enhanced access to financial serv

In its analysis of over 1,400 use cases from “Eye on Innovation” in Financial Services Awards, Gartner found that machine learning (ML) is the top technology used to empower innovations at financial services firms, with operational efficiency and cost optimisation as key intended business outcomes.  ML is a branch of artificial intelligen

There is rapid adoption of artificial intelligence (AI) and machine learning (ML) in the finance sector. AI in banking is reshaping client experiences, including communication with financial service providers (for example, chat bots). Banks are exploring ways to use AI/ML to handle the high volume of loan applications and to improve their

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

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 p

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 adopte

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.  Accordin

Private clouds combine the many benefits of cloud computing, like elasticity, scalability and agility, with the security, access control and resource customisation of on-prem infrastructure. Private clouds allow financial institutions to have greater control over hardware and software choices. They make it easier to enforce compliance wit

Why private clouds? Regulatory compliance and data privacy requirements require financial institutions (FIs) to consider carefully where their applications are running and where the customer data is stored. The data protection and data sovereignty laws in most countries require an enterprise to keep data in certain geographic locations. P

Data security in the cloud – a business imperative Cloud computing has been transforming financial IT infrastructure into a utility allowing financial institutions (FIs) to access computing resources on-demand letting FIs offload costs and effort of setting-up and managing their own on-premises infrastructure, improving agility and time t

The financial services industry has evolved at an astonishing rate in recent years, underpinned by rapid advances in technology. Financial institutions (FIs) are digitising their customer journeys and scaling-up transformation. Cloud is a catalyst for enterprise business transformation and is a focus for C-suite executives and board membe

The financial services sector is adopting Artificial Intelligence technologies at a growing rate. Areas such as asset management, algorithmic trading, credit underwriting, blockchain based finance solutions, fraud detection and claims processing have all seen increased adoption of Machine Learning to drive more robust data-driven decision

The future of financial services technology infrastructure is hybrid multi-cloud. Hybrid multi-cloud architecture provides financial institutions flexibility, portability, interoperability, and the control needed to consistently deploy and manage enterprise applications and workloads. By adopting hybrid cloud, finservs realise the benefit

To serve today’s on-demand customer, financial institutions must become agile digital enterprises focused on delivering innovative products, services, and customer experiences.  Adopting a container-first approach represents an unrivalled opportunity for financial institutions to increase system efficiency and resource utilisation, improv

The global health crisis has accelerated the digital transformation within the financial services industry. A McKinsey report highlights that “In a competitive environment of rising cost pressures, where rapid action and response is imperative, financial institutions must modernise their technology function to support expanded digitisatio