Blog list masonry Type 3
Almost all sectors from finance, customer care, IT, and supply chain management are reworking their organizational strategies to incorporate digital transformation in their sector.
With machine learning and its sophisticated systems powered by Artificial Intelligence, processing of unstructured data has turned into an easy possibility as it can grow faster with more inputs
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.
Retail is one of the flagship sectors where big data plays a vital role, and technologies powered by artificial intelligence, machine learning and deep learning bring in a huge scope for efficiency
The telecom sector is the artery of connectivity, and there are new opportunities to deploy services and value using AI that can enhance telecom industry’s revenue.
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.
A McKinsey study says that Robotic Process Automation (RPA) is a promising new development in business automation that offers a potential ROI of 30–200 percent — in the first year.
Wealth management advice will come from bots that are free of calculation errors and faulty/biased judgement, unlike human advisors. AI and machine learning will play a key role in solving portfolio advice and equipping experts with key data points.
Gone are the days when a VC would have to travel across different states and countries to find the next ‘unicorn’ or reaching out to potential start-ups as all this information can be accessed using AI with just a click.
Current tools used to educate managers and executives to machine learning solutions are either too complicated or too confusing. Online guides are mostly theory thus making it difficult for actual implementation.
Medical science is one field where the amalgamation of AI and medical science can be used to bring about life-changing technologies. In fact, cognitive technology is being used in the healthcare industry in assistance and support roles.
Enterprises need Artificial Intelligence for a true breakthrough in the way organizations are run and AI has the potential for groundbreaking business transformation.