Digital AI Transformation 4.0 – Shaping the Future of Business Enterprises

Digital transformation now lies at the core of a successful business model. It impacts each and every organizational decision and deployment roadmap. For instance, think of how organizations like Airbnb have had an impact on travel and tourism. Digitally native companies such as this are always innovating and looking to enhance customer experiences. It, thus, stands to reason that the biggest assets for digital economy will always be rapid user acquisition, disruptive technology, and big data.

In the manufacturing sector, Industry 4.0 has had a similar impact. Industry 4.0, in manufacturing, along with artificial intelligence (AI) will enable deeper customer insights, with better visibility on future failures. To support the provided statement, here are few examples in the context of Digital AI Transformation 4.0 (DAIT 4.0).

Manufacturing

How does DAIT4.0 help cater customers to meet different needs? The first way is to combine human knowledge with predictive data. It is not impossible to build something like a human-like AI layer which will behave like an experienced worker, making the correct judgment and viewing predictive maintenance request. Similarly, it can help someone in renting the right asset and on how to achieve their goals. Although this type of AI involvement may seem to be a science fiction, this is actually happening. A few of plant manufacturers have implemented this technology already.

Medical

Stents are critical in the field of healthcare, and new technologies are helping doctors deliver a better quality of services. On adding a sensor, it can connect the internet with the resulting telemetry and give doctors a chance to measure patient’s health remotely. They now have a device to verify that drugs are delivered on time and can monitor individual illness. To make this dream a reality, connect to DAIT4.0.

The road ahead

Other than the above mentioned possibilities, DAIT4.0 can also open up other exciting opportunities including new services, business models, and products in multiple sectors. The way forward may be fraught with changes, but both AI and automation will be capable of altering enterprise and businesses functionalities for good.