Almost all sectors from finance, customer care, IT, and supply chain management are reworking their organizational strategies to incorporate digital transformation in their sector.

Almost all sectors from finance, customer care, IT, and supply chain management are reworking their organizational strategies to incorporate digital transformation in their sector.

While some experts like Musk have made speculations around the potential harmful impact of AI in future, for the most part these disruptive technologies with super-human abilities are creating far-reaching impact

Digital transformation DT or DX essentially refers to putting to best use the new age digital technologies and drivers such as Artificial Intelligence and Internet of things (IoT)

IPA will undoubtedly become an even more integral part of the future operating models. Experts suggest that IPA will further leverage AI, eventually leading to a complete automation of processes.

Experts have recommended time and again that companies have to radically alter their existing dynamics to accommodate change and stay relevant.

Processing huge volume of data on a day to day basis is a tedious, time-consuming affair for insurance companies. AI could just be the game changer due to its speed and utility.

Intelligent Automation(IA) systems can detect and produce large amounts of information, automate an entire process or workflow, learn and adapt as it keeps improving with daily updates and interaction.

Cognitive AI uses previously under-utilized data for segmentation, identification, and scoring of customers. This is the edge a data-driven customer experience has over others.

Automation in logistics is at a nascent stage. Reports show that implementing automation can deliver up to 30% increase in transaction speed, 25% reduction in cost, 100% accuracy and better compliance.

Banking and financial sectors have been using some form of machine learning to keep track of data but it is usually tedious and manual in nature. With high volume of data and the quantitative nature of finance, this sector is particularly suited for artificial intelligence.

RPA is clearly considered an improvement over assisted automation but still, there are places where it is more suitable than unassisted automation. Myths and misunderstandings around robotic process automation however are still many.