“The key to artificial intelligence has always been the representation.” — Jeff Hawkins

The time has come when the world is striving to embrace artificial intelligence (AI) as an active part of mundane life. Visualizing a life powered by AI will be exciting and full of welcoming change. Hence, for all of us to accept it, enterprises played a pivotal role in representing it in an ideal way.

AI evolving with the business flow

Leading enterprises have already invested significantly in research and development (R&D) to successfully apply AI in their business. Over the last five years, many enterprises started to focus on AI technology. Rather than concentrating only on traditional AI, companies are attempting to automate their mode of operation to gain from AI. The traditional AI used to operate basis supervised learning of both structured and unstructured data. It used to be a process of classification and a pre-determined workflow. However, AI has evolved and operates basis deep learning without much dependence upon known datasets. Hence, even when dealing with huge datasets, it can function successfully.

Redefining the need for AI

AI has become the heart and soul of customer service. Starting from managing big data in the form of the customer database, organizations have started to depend upon AI to respond to customer service queries. Apart from the new algorithms, AI technology has made advances. This enabled enterprises to easily extract, manage, store and analyze complex data sets. With concepts such as the internet of things (IoT), connected vehicles, healthcare chatbots and so on, AI could successfully prove the critical value of accumulated data. This is one of the major causes that transformed the way, industries deal with large pools of data.

Tech giants relying upon AI

Tech giants such as; Google, Microsoft, Apple, Facebook, and Amazon increased their dependence upon AI to utilize stored data and gain from developing conversational user interfaces. Even though AI is yet to ripe at its best, still it has considerably transformed businesses. There has been an acceleration of use cases within several enterprises that are generating positive impact. Hence, the successful implementation of AI-based solutions within the enterprise can create unprecedented growth.

There is a growing need for regulatory compliance to implement AI-based solutions within the organization effectively. The leading enterprises across the globe are trying to ensure compliance with industry regulatory audits to implement AI-based solutions successfully. To solve any issues related to regulatory compliance, advanced computational linguistic approaches powered by AI systems are utilized. More so, there is a requirement of huge data sets to effectively train the AI systems. The model-based development approach for AI systems is designed to suit the enterprise budget as well as the timeframe. Thus, we can conclude with the fact that organizations are adopting AI at a rapid pace to build a future powered by AI.

- Kathakali Basu
Content Writer
Infoholic Research