AI and data are human force-multipliers

One of the most important advances in technology has been the way customers view AI. It plays a bigger role in people’s daily lives than ever before, powering everything from remote work, to call centers, to manufacturing priorities. AI is built into internet searches, email spam filters, online shopping, digital photo services, and more. Similarly, it is also becoming a bigger part of the retail experience in all kinds of ways.

The success of any enterprise is highly dependent on the satisfaction of its clients in the digital age. With the ability to use technologies like machine learning, augmented reality, IoT, and chatbots, among others, cloud computing is a critical component of digital transformation and helps to spur innovation. In other words, we live in an era where cloud platforms are enabling the process of digital transformation at a faster pace.

Enterprises benefit from a cloud-enabled business model because it lowers the complexity of their IT infrastructure, enables them to concentrate on other important areas of digital transformation, and allows them to find additional avenues for expanding their client base.

There are enormous amount of identity data generated; from different users and systems to automated robotic processes. But there’s so much data that finding the anomalies are a bit like finding the proverbial needle in the haystack. When it comes to managing identities, at the end of the day enterprises want to do two things: reduce risk through better visibility and drive efficiency through automation.

To prepare for a likely future of ubiquitous and helpful AI, enterprise leaders should visualize progressions. Leaders should consider what these progressions imply about experiences that keep pace with customer expectations.

They should think about how AI use cases that seem discrete today may converge, putting increasingly intricate blends of AI behind simple user interfaces. Perhaps most of all, they should imagine the IT agility this future (or most any future of continued technological disruption) may require.

With AI and ML organizations can gain new visibility and insight into the specific risks associated with user access and help in automating and streamline identity processes and decisions such as access requests, role modelling, and access certifications, driving greater efficiencies across an organization.

S Mohini Ratna, Editor, VARINDIA