Automotive brands need to make their customer journey more personalized and innovative to maintain a competitive edge in the market. Artificial Intelligence (AI)-based chatbots have become the go-to technological innovation for these brands to make the end-user experience a notch above the rest.

Artificial Intelligence is resolving real-world, complex challenges at scale. With its transformative capabilities, AI has managed to enter some of the sensitive areas including healthcare, finance, cyber security, etc.

When handling voluminous data that is highly sensitive, it is always preferable to group it into categories or classes. That is primarily where classification algorithms make themselves useful. Classification algorithms are one of the most widely implemented classes of supervised machine learning algorithms.

The exponential growth and development that AI technology has showcased in the past two decades have brought several science fiction movies into reality. Statistics suggest that the global AI market is predicted to reach $190 billion by 2025. The overall market includes a wide array of AI applications including Natural Language Processing, Machine Learning, Conversational AI, Robotic Process Automation, Neural Networking, etc. | Source: Statista

The average long-distance traveler cites congestion as the primary hindrance to their travel plan. With advancements in technology, the decision-making process that guides route planning has become much more streamlined. Artificial Intelligence (AI) backed route optimization systems give travelers the shortest and most congestion-free routes upon user request.

Out of all the stages of the supply chain, logistics deals with the most unpredictable issues. These include factors like weather patterns, fuel prices, and last-mile delivery charges. The gradual adoption of demand forecasting with Artificial Intelligence (AI) is helping the logistics sector to alleviate some of these uncertainties.

Learning is defined as the adaptive intelligent change in response to experience. In humans, it refers to the continuous process of acquiring new skills, values, knowledge, attitude, and preferences based on past experiences. This lifelong exercise in humans is called cognitive learning.

Smart homes, wearables, automated cars are some of the popular concepts that introduced the world with the IoT technology and its potential applications. The continued growth of this technology and its use case realization has created a global IoT market of $389 billion, which is forecasted to reach $1 trillion in 2030 (according to Statista). 

Machines have historically aided humans to maneuver several challenging tasks all through the dark ages and the industrial revolution. A decade after the Enigma machine helped the Allies win World War II,  its inventor Alan Turing posed the one question that expanded our horizons for innovation - Can machines think?

Finance industry processes are becoming more foolproof and efficient due to automation. There is plenty of evidence to showcase the growing impact of Machine Learning (ML) and its wide acceptance across various use cases in capital markets.