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Driving digital resiliency through AI and data analytics

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Artificial intelligence(AI) driven platforms are geared to drive innovations like knowledge engineering, where business logic and compliance rules are being encoded to simplify and create personalized experiences at scale. Today, businesses are forced to realign the concepts of work. Digital transformation today has become a necessity and companies which continually improve business processes with innovation are at a better position than the companies which do not. The disruption is massively accelerating many businesses’ focus around offering superior customer experiences. The crisis is driving digital closeness. This means that the way people are communicating through digital channels becomes really important.

 

 Now the world is trying to return to its daily routine, some businesses are re-opening offices for a limited number of employees; some are allowing employees to work remotely, while others have indefinitely extended remote working options. Whatever be the case, it is incontrovertible that cybersecurity concerns are peaking by the day. Data analytics is at the crux of our approach towards harnessing digital transformation. Companies are really focusing on how they can offer empathy to their customers—the type of support and expertise that makes them a trusted advisor or companion on the journey. Artificial intelligence (AI) and Machine Learning (ML) have penetrated into every sphere and industry. Both play an important role in turning data into assets as part of achieving digital transformation. However, organizations must gain a deeper understanding of their place in the process to effectively leverage them for business and process transformations.

 

Secondly, the disruption is massively accelerating many businesses’ focus around offering superior customer experiences and is driving digital closeness. This means that the way people are communicating through digital channels is becoming really important. Companies understand that people are more open to trying different products and services now, sometimes out of necessity and that if they can’t meet their customers’ needs, they may lose them permanently to other companies that are able to serve them.

Digital transformation today has become something which is ‘must-have’ and longer just ‘nice to have’, and companies which continually improve business processes with innovation are at a better position than the companies which are not at the crux of the approach towards harnessing digital transformation. We have seen, Artificial Intelligence, Machine Learning and Software are eating the world. To win with a data-driven strategy – CIOs must orient their data strategy to take advantage of the massive profusion of data and use these new technologies to harness and exploit it for competitive advantage and we have seen convergence has taken place and one device can offer multiple services, and you can’t really differentiate between digital and non-digital — broadcasting, telecommunications, everything is merging. So now, we need to look at this thing more holistically than we were earlier.

ML and AI are required technologies today for generating the next set of competitive advantages – predicting the future, gaining deep insights from unstructured data and creating data-driven products. Today, Cloud offers protection capabilities to secure data in all stages – at rest, in motion and in use – as well as built-in isolation, access management and integrated security measures. Cloud is now becoming an enabler to provide continuous security for cloud-based applications and workloads. On this backdrop while, businesses are also battling new security challenges as threat actors are using Covid-19 as a new attack angle. They now have to make long-term changes to their landscape.

 

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