Artificial Intelligence: Where are we headed for?

The world is set to see a sea change in the manner technology operates and responds to our need. As per an internal report, more than 80% of businesses would be using Artificial Intelligence, one way or the other by 2020,

Defining strategies based on AI for competitive advantage and intelligence will serve to be the basics when planning for a smart and agile enterprise in the coming times. Self-serving automated devices would prove to be catalysts ushering into a new era that would become mainstream. whether it is the automotive industry or the healthcare industry, artificial intelligence would prove to be the flag-bearer in decision making.

Transformation in personal lifestyle would definitely bring about the eventual adoption an everyday affair. This is primarily based on man and machine relationship and therefore an opportunity for a transformative potential for a next-gen organization. Whilst Machine learning can solve linear problems, Artificial Intelligence helps distillation of automation. We are talking about disruptive technologies based on design thinking that lead to the simplification of tasks and better decision making structures.

There is a tender inflection point between data and artificial intelligence that would prove to be deciduous for today's CIO to prioritize and adapt. Tangible and value-added insights in the business if delivered to address a pre-defined challenge can reap true benefits

So what does it take to become an AI-driven organization?

What is the impact of AI and eventually machine learning on our daily lives? An interesting case study that I saw on the economist TV channel that details the role of technology in the coming decades and how it would impact

By 2050 worlds 2/3 population would live in urban areas. In order to better our living conditions owing to congestion on account of population, artificial intelligence, and predictive technologies would have a major role to contribute to daily lives. Consider this, The subway system in North Korea in Seoul is generally managed through a sophisticated technology system that monitors daily traffic or footfall over the stations through data technologies. The administrators manage to pre-arrange and adjust the speed of trams and stoppage times based on the technology and the data gathering.

This way they gather in advance the number of passengers and the time needed for them to board at different stations.Not only that, they keep citizens informed through social media and internet channels about the arrival of trains and stoppage times. Whats even more interesting is, that machine learning helps the administrators find faults and any kind of discrepancies in the tram equipments in advance. Thus, saving time and balancing processes at such a scale is only enabled through machine learning and artificial intelligence meeting scale and state-of-the-art infrastructure

This is a typical example of data management models sitting at the core of AI.

Ai and Digital Marketing

In a digital landscape, a great user experience or user journey is where AI adapts to and makes payments and transactions much faster and eases decision-making algorithms.

AI, therefore, holds a huge potential in the field of Digital marketing, predictive analytics, and targeted marketing and would surely provide for a smarter future and consequently, a better customer experience.

We have advanced applications based on the same technology, This would also imply towards a change in the way we analyze and assess. Assessing current data to extrapolate future trends and benchmarking business excellence is a major key result area that we may for-see and it could be social media data, purchase pattern of customers or clinical data of customers mapped in a hospital. we would be able to predict our best customers and also offer them tailor-made answers to their questions which could be in the form of products and services.