ML, AI help move from digital transformation to digital intelligence: CTO, DSP Investment Managers – ET CIO
In an interview with ETCIO,
, CTO, DSP Investment Managers, speaks about the role of analytics in helping business to be proactive.
As computing and infrastructure become more commoditized, enterprise technologies are being considered to anticipate end-user / business needs and proactively address them, not waiting for breakage or unhappy users to complain that they are not being supported. Enterprise
is crucial as it helps assess strategic and tactical impact and subsequently prepare business for wider-scale adoption, often as part of a more systematic program of digital transformation.How much of your focus is on technology innovation to improve business outcomes?
As the velocity of innovation has increased across technologies such as mobile, internet and computing, demand for continuous innovation has heightened as businesses fight for market leadership and success. I drive continuous innovation using the latest technologies to stay current with the processes and experiences that customers and employees demand. The pace of technology innovation has been accelerated as machine learning and artificial intelligence move organizations from digital transformation to digital intelligence. Today’s technology is not just new versions of legacy systems, it allows one to design a completely new digital enterprise.
How do you map opportunities in new businesses with the help of these technologies?
As the demand for real time optimisation and advanced analytics increases, PoCs are carried out using digital tools and new technologies to derive instantaneous insights. Use cases and technologies are selected from a probabilistic perspective rather than deterministic way to produce results. Also keeping the ever-evolving workplace in mind, technologies like fog computing better known
helps evolve as quickly as new opportunities crop up to meet growing business demands.
Which are the business processes where automation/ analytics is making a difference?
Automation has substantial impact on improving workforce productivity, improving the accuracy of data and its processing speed with reduction in manual errors. Businesses now have laser-sharp focus on the front office as the back office gets automated. Analyzing new sources of data to a granular level quickly allows business to make decisions more quickly and more accurately. Analytics is further helping business to be proactive and anticipate customer needs to optimize the experience, value-driving and developing long lasting customer relationships.
What changes have you made in your systems and processes to meet industry standards and consumer demands?
I have adopted a customer-first approach, designing simplified architecture, engaged with workforce and am driving a technology-first culture change. I have empowered the team into self-organization to drive agile deliveries. I pay continuous attention to technical excellence and good design to meet industry standards.
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