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IMDR’s Journal of Management Development and Research 2022-23

estimate which segments are most likely to become consumers more accurately. Programs can
provide a wealth of information on which prospects are most likely to become clients, allowing
marketers to concentrate their efforts on customers who are most likely to be converted rather
than wasting time on leads who are less likely.
4) Personalized Products

This entails locating potential customers using data on their prior purchases, location, and other
aspects. It contains the real goods as well as tracking data and customer information. Under
Armour recently employed IBM's Watson to combine their own customer information with data
from external sources to personalize fitness and health tracking app called "Record," for
example.

Conclusion

There is no doubt that all this deep learning development and investment will provide marketers
exciting opportunities. In fact, McKinsey opinion makers predicted that supply chain
management, manufacturing, marketing, and sales will make up most AI's business use cases.
They estimate that two-thirds of the potential for AI will come from these use cases. Their
analysis shows that the value of the AI opportunity for marketing and sales for all organizations
worldwide varies from $1.4 to $2.6 trillion. Additionally, they forecast that 40% of the future
value that analytics can now offer will be provided by deep learning-related AI techniques.

A vast range of things are possible using AI. It can help marketers work more efficiently by
streamlining processes like content creation, campaign design, segmentation, etc. The fact that the
data AI uses is constantly changing and evolving gives it the flexibility to base its output on the
most recent statistics and trends. The availability of analysis and insights to enhance decision-
making is made possible by this and the volume of information.

Even though artificial intelligence (AI) is still in its infancy, it is constantly improving.
Businesses may use AI more efficiently than ever thanks to its increased availability, and many
companies are already incorporating AI into their marketing strategies.
Particularly for digital marketing, AI holds enormous promise for revenue growth and cost
reduction. Marketing agencies may now provide targeted, interactive intelligence advertising
thanks to advanced AI. Making predictions using machine learning and AI is how it works.
Many of the tools and applications we use daily are already attempting to predict your behaviour
and provide advice and information based on this knowledge. Digital marketing agencies have a
broad range of responsibilities, from automating time-consuming processes to gathering and
analyzing vast amounts of data to understand the needs of clients. Many tools are being used by
marketers such brand watch, Growth bar etc. to help, with predictive analytics, content moderation
etc.

AI-powered, robots may eventually replace humans in a variety of occupations, such as coding,
authoring, and customer support. The near future closely resembles the sci-fi films with self-
driving, sophisticated robotics both in development. Leading AI startup DeepMind serves as an
example of what the present and future may include. Instead of being pre-programmed,
DeepMind technology absorbs input and learns from experience. The current Go world champion
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