Digital future
As leading businesses in financial services look to rebuild their IT foundations to respond more quickly to changing market dynamics, fend off new fintech competitors, and build stronger customer loyalty, digital engineering has emerged as the key enabler:
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regulations are driving changes to business models which require greater operational agility and efficiency
78%
of retail banks expect to increase their investment in AI, ML and advanced analytics over the next two years
68%
of retail banks believe IoT will be the digital technology with the greatest impact on banking over the next 12 months
27%Per year
growth rate, through 2024, of global mobile payments
Fintechscontinue to disrupt
with more modern digital alternatives to incumbent offerings
“Digital banking services vendors increasingly require the capabilities to deliver professional services, cloud migration, and BPaaS in the rapidly changing digital banking operations market. Based on a rigorous assessment of the market, in our view Apexon is a “Leader” in supporting new digital banking business models, an “Innovator” in professional services, and a “Major Player” in SaaS delivery. Overall, we concluded Apexon should be regarded as a Major Player.”
NelsonHall’s NEAT Vendor Evaluation for Digital Banking Services Report | Mar, 2020
Andy EfstathiouBanking Sourcing Research Director
Apexon works across the financial services spectrum to help market leaders and emerging startups leverage digital to deliver new products and services, tailor customer experiences, add new revenue channels, and enhance customer loyalty.
Apexon developed a unique digital platform to serve all CD information needs
Apexon speeds time to market by modernizing software delivery
Apexon streamlines digital QE environments, reduces resource requirements
Apexon developed an end-to-end mobile development platform with partner Kony
Data and Analytics in the BFSI (Banking, Financial Services, and Insurance) industry is used to analyse customer behaviour, predict trends, and manage risks effectively.
Digital investment banking encompasses the utilization of digital platforms and technologies to deliver traditional investment banking services, like capital raising and financial advisory, in a more efficient and accessible manner. By leveraging online platforms, automation, and data analytics, digital investment banking enhances processes, reduces costs, and facilitates quicker decision-making in the realm of financial transactions.
Machine learning is used in banking, fin-tech, and investment for tasks such as fraud detection, credit scoring, and personalized customer recommendations. For instance, banks utilize machine learning algorithms to analyze transaction patterns and identify potentially fraudulent activities, while investment firms employ these technologies to forecast market trends and optimize investment portfolios.