Netcore Explains How Marketers Can Have An Edge Using AI & ML

Netcore Solutions is a well-known technology focused marketing company that offers refined solutions to enterprises for digital marketing. In an attempt to have a more linear and direct approach with industry professionals it organized a corporate training programme on Artifical Intelligence (AI) and Machine Learning (ML) this week.

By fully utilizing the power of AI and ML, marketers can get an edge in terms of analytics improving upon the recency, frequency, and analysis of accumulated data. With data consisting of demographics and category affinity, the value that can be derived from these analytics is hyper-personalised. Hence marketers can design their campaigns accordingly giving them maximum relevance. Higher relevance also leads to an increase in customer lifecycle and AI can generate insights in response to unpredictable situations in real time.

Commenting on the benefits of deploying AI and ML to a marketing campaign, Netcore spokesperson said, “Successful brands today have good offerings for the customer backed with strong technologies and solutions including cloud services. However, a unified view of the customer is possible with Artificial Intelligence and Machine Learning who are key differentiators in a highly competitive market scenario where brands must continuously and innovatively engage with the customer. The workshop for marketers aimed to demystify several benefits and deployment of new age technologies like AI, ML and deep learning for their marketing campaigns”.



The training program equipped professionals with a more mature thinking of how analytics and fundamentals of ML techniques can help in uplifting an enterprises journey into the next decade of technology. The programme included:


  • Learning supervised and unsupervised ML techniques and knowing the right algorithm to choose for a given problem like fraud detection, HR attrition, churn prediction, segmentation, e-mail send time optimization

  • Showcased case studies from various sectors i.e. banking to aviation, to address several challenges and understand how to apply the right algorithm for a given problem like fraud detection, HR attrition, churn prediction, segmentation, e-mail send time optimization.

  • Group activities where participants brainstormed and presented a 360-degree view of the customer across various industries like e-commerce, travel, banking, and automotive.

  • Quiz and open discussions around ML algorithms, techniques and applications in different scenarios for an organization

Source: EOTO TECH

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