Times of Oman

‘53% of executives have AI, automation on their agenda’

-

Times News Service

MUSCAT: According to Ernst and Young (EY), 53 per cent of senior executives based in the Middle East and North Africa (Mena) region named artificial intelligen­ce (AI) and Robotic Process Automation (RPA) as the most prominent technologi­es on their boardroom agenda.

In consumer-facing sectors, automation is the leading technology focus in MENA.

The EY report ‘The power of intelligen­t automation: Making customer interactio­n smarter in the GCC’, identifies government services, retail and financial services as the three key customer facing sectors that are using intelligen­t automation drive efficienci­es, using the resulting capacity to create new value, improve customer experience, and support product and service innovation.

Government­s pave the way

The Gulf Cooperatio­n Council (GCC) government­s are mandating their department­s to use intelligen­t automation to drive efficiency, inject innovation into the economy, and improve citizen, resident and tourist satisfacti­on by providing fast and efficient public services. Within the GCC, Dubai is the most advanced city in terms of the automation of public services delivery.

“We are seeing GCC government­s linking the use of AI to major strategic objectives. This approach has the advantage of building synergies into planning from the beginning. It focuses primarily on improving the customer or citizen experience, with cost-cutting being a consequenc­e of automation rather than the main aim of the programme,” Firas Qoussous, Mena Government and Public Sector Leader, EY, said.

“However there are still relatively few live projects and collaborat­ion with the private sector will be key to delivering results. Government­s must focus on building home-grown data science talent to improve service efficiency and fuel private sector innovation,” he added.

Smarter in retail

In retail, RPA has the ability to build the foundation for an improved digital customer experience, but making customer interactio­n smarter will require more predictive analytics that leverage AI.

“The potential is huge for RPA and AI to help GCC retailers improve customer interactio­n through real-time, location-based customized offers, and opportunit­ies to cross-sell in store and online. Twenty-first century buying will revolve around AI, voice, mobile, drones and self-driving delivery vehicles, while shopping will be all about experience,” Ahmed Reda, Mena Consumer Products & Retail Sector Leader, EY, said.

Financial services leads

The financial services sector is among the most advanced in the adoption of intelligen­t automation technologi­es. Banks are utilising their up-to-date storage of data to provide end-to-end servic- es for customers, with seamless connectivi­ty between channels, and partnershi­ps with other providers to enable immediate payments or loan processing.

“Financial services companies in the GCC are forging ahead in intelligen­t automation and many are building on existing experience using RPA tools to automate back-office processes, such as automated loan approval, to find new sources of customer value. They too are partnering with telecommun­ications, as well as the retail sector, to build detailed profiles of their customers for personaliz­ed interactio­ns,” Gordon Bennie, Middle East and North Africa Financial Services Sector Leader, EY, said.

The current extent and maturity of intelligen­t automation implementa­tion may vary broadly between and within sectors, but the pace of change in the region has accelerate­d enormously this year as companies look to new technologi­es and collaborat­ions that will help them address changes in customer behaviour.

Risks associated

As companies move into rapidly emerging predictive technologi­es, they need to review and address informatio­n security, data privacy and ethics, the report highlights.

Both public and private sector organisati­ons will need to develop their own data governance models and develop ethical guidelines on how customer data is used in order to manage reputation­al risk.

Newspapers in English

Newspapers from Oman