Tuesday, January 31, 2023

Use of AI to solve digital transformation obstacles in 2021

By Megana Natarajan - February 04, 2021 3 Mins Read

Enterprise leaders believe that the implementation of AI will drastically increase in the coming years, and not anymore because it is a good-to-have tool, but because it is a necessity

CIOs believe that companies will embrace AI because of its criticality. AI is the tech that will enable businesses to be more at scale, innovative, and agile. The previous year has emphasized the speedy acceleration that has modified the query from where AI tech fits into the enterprise to what segments are not right for AI. General services and applications across the organization will continue to become more evident by the day.

Organizations say that AI will help deliver value when intelligent capabilities and tools are utilized to resolve industry-specific issues. They note that creative applications are coming up across the enterprises in banking, retail, manufacturing, etc.

Revamping the customer service experience with conversational AI

Enterprise leaders explain that when organizations blend together customer behavior data, chatbots, and NLP, it creates the potential to change customer support and contact, mostly without human intervention. With AI, significant improvements to NLP will be possible, that will help make customer experiences richer and dynamic with each passing day. The advancement in tech has improved the depth and natural flow of interactions between the customer and bots.

Read More: Strategies for Effectively Managing a Hybrid Workforce

Such an approach improves customer self-service when it allows expedited access to the backend systems. This helps solve customer issues and queries faster. It is predicted that in the coming years, customers will find it harder to understand whether they are talking with a human customer service agent or a bot.

CIOs say the implementation of automated customer service agents was one of the top AI use cases proposed by most enterprises.

Curing latency, privacy, and bandwidth issues with Edge AI

Organizations point that AI had once existed solely in the domain of the largest data centers in the world. But as AI shifted to the outer edges of the networks, it has started to solve a host of analytics and hosted data issues for the organization. Edge AI is the tech where intelligent capabilities are embedded at the point of data source, regardless of whether smartphones, connected vehicles, or IoT endpoints.

The Edge AI tech has expanded rapidly and powered many intelligent devices; it has slowly become an advantage for the organization. The availability of Edge AI in devices has also increased in 2021 due to better accessibility and availability. At the edge, AI will play an essential role in managing huge volumes of data and reducing the increasing strain in business networks. The ability to process data at the network edge itself without transferring it to the cloud platforms makes devices more responsive, versatile, secure, and powerful. This also helps in regulatory compliance.

Using machine and deep learning to enable cybersecurity 

Malicious actors have already started using AI to launch highly sophisticated phishing campaigns and other nefarious cyber assaults. They have leveraged intelligent automaton to accelerate the volume, variety, and velocity of the breach attacks. Conventional cyber prevention and mitigation methods will be no match for such advanced TTPs. Thus the use of AI in attack techniques calls for the use of AI enhancement in cybersecurity defenses.


Megana Natarajan

Megana Natarajan is a Global News Correspondent with OnDOt Media. She has experience in content creation and has previously created content for agriculture, travel, fashion, energy and markets. She has 3.9 years’ experience as a SAP consultant and is an Engineering graduate.

Subscribe To Newsletter

*By clicking on the Submit button, you are agreeing with the Privacy Policy with Enterprise Talks.*