Description of item
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Integrating Artificial Intelligence and Machine Learning
We are aware that data and marketing go hand in hand, and with this digitization, CMOs need to master this delicate structure to use data in informative strategies. Further, with the advancement of AI and ML technologies, these have become new avenues for CMOs and their teams that benefit in interpreting data and assisting the sales and marketing teams with reports.
Current State Of CMO Responsibilities in Data Analytics
Till now, we are much more familiar with the power of data analytics, AI, and ML, but this revolutionary change has also affected the responsibilities of CMOs. Let us understand the current situation that CMOs and marketing teams have to face:
Intuition or Data-driven Insights
In the past, we have witnessed that CMOs mostly relied on intuition and creative judgment to generate robust strategies; however, they were in a dilemma because the plan may or may not work. These types of decision-making were based on personal experience, subject industry knowledge, and high-level market trends and research.
Future Trends in Data Analytics for Marketing
Data analytics technology is continuously evolving in the marketing industry, with the promise that it will ease the work of CMOs, marketers, and their teams. The emergence of edge computing is poised to gain immense traction for its ability to process data and generate output, which will raise the issues of latency and time consumption. Furthermore, quantum computing holds immense potential to process complex data sets at unparalleled speeds, providing access to data-driven insights.
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