top of page

The Intersection of Data Science and Marketing: Ridwan Adejumo Suleiman's Take on NLP

AInsights360: Marketing Week will feature a panel session titled "Natural Language Processing in Marketing Analytics: Extracting Insights from Text Data." One of the speakers on this panel is Ridwan Adejumo Suleiman, a biostatistician at a public hospital and a freelance technical writer for DataCamp. Let's learn about Ridwan Adejumo Suleiman and explore the intersection of data science and marketing.


Ridwan has a unique blend of experience that makes him particularly qualified to speak on this topic. His work covers both the practical side of applying data science in healthcare and the educational aspect of making complex topics understandable for everyone. Ridwan has taught many students, led workshops for professionals, and authored articles and courses designed to break down difficult data science and statistical concepts into digestible pieces.


With his proficiency in Python, R, machine learning, and statistical analysis, Ridwan brings valuable knowledge to any discussion about data science.


The Intersection of Data Science and Marketing: Ridwan Adejumo Suleiman's Take on NLP

What is Natural Language Processing?


Natural Language Processing, or NLP, is a branch of artificial intelligence (AI) that focuses on the interaction between computers and humans through language. Essentially, it involves teaching computers to understand, interpret, and respond to human language in a way that is useful and meaningful.


You might encounter NLP every day without even realizing it.


For example, when you use a virtual assistant like Siri or Alexa, or when you see the autocomplete suggestions while typing a message, NLP is at work. It’s also used in things like sentiment analysis, where a computer analyzes text to determine whether the tone is positive, negative, or neutral.


But how does NLP tie into marketing?


Well, marketers deal with huge amounts of data—think of all the customer reviews, social media posts, and survey responses companies receive. Manually sifting through this data to find trends or insights would be overwhelming. That’s where NLP comes in.


Ridwan's Contribution to the Field


Ridwan Adejumo Suleiman is not just knowledgeable about NLP but also skilled at communicating these complex concepts to a wide audience. As a biostatistician, he has first-hand experience using data analysis to solve real-world problems. His work at a public hospital involves analyzing health data to improve patient outcomes, which requires a deep understanding of statistical methods and data science techniques.


In addition to his work in healthcare, Ridwan has made a significant impact as an educator. He has taught many students and conducted workshops for professionals, focusing on making data science accessible to everyone. Ridwan’s ability to bridge the gap between technical expertise and clear, engaging instruction is what sets him apart. He understands that not everyone has a background in data science, and he takes the time to explain things in a way that is easy to understand.


This is particularly important when discussing topics like NLP, which can be intimidating for those who are new to the field.


Big data market size revenue forecast worldwide.

Source: Statista


At the AInsights360: Marketing Week, he will bring his unique perspective to the discussion on NLP in marketing analytics. His background in healthcare gives him a different lens through which to view the challenges and opportunities in this field. And as an educator, he is well-equipped to explain these concepts in a way that is both informative and accessible.


What to Expect from Ridwan's Panel Session


During the panel session, Ridwan and other experts will discuss how NLP can be used to extract insights from text data in the context of marketing.


This is an important topic because text data is everywhere, and understanding it can provide valuable insights for marketers. Ridwan is likely to share examples from his own experience, both in healthcare and education, to illustrate how NLP can be applied in different contexts. He might also discuss some of the challenges involved in working with text data, such as dealing with different languages, slang, and sarcasm. These are all things that can make it difficult for computers to understand human language, but advances in NLP are helping to overcome these challenges.


Another topic that might come up during the session is the ethical considerations of using NLP in marketing. For example, how can companies ensure they are using this technology in a way that respects customer privacy? How can they avoid biases in the data that might lead to unfair or inaccurate conclusions? These are important questions that anyone working with data needs to consider, and Ridwan’s background in healthcare might give him a unique perspective on these issues.


Why Should You Care About NLP in Marketing Analytics?


For one thing, it’s a rapidly growing field that is becoming increasingly important as more and more of our interactions move online. Companies that can effectively analyze text data have a huge advantage when it comes to understanding their customers and making informed decisions.


AInsights360: Marketing Week banner

By attending Ridwan’s session, you’ll gain a better understanding of how NLP works, what it can do, and how it can be applied in your own work. Whether you’re a beginner or have some experience with data science, there’s always more to learn, and he's the perfect person to guide you through it.


If you’re interested in data science, marketing, or just curious about how technology is changing the way we understand and interact with text, then Ridwan’s session at AInsights360: Marketing Week is a must-attend. You’ll come away with a deeper understanding of NLP, practical insights you can apply in your own work, and maybe even a new appreciation for the power of data.


So, make sure that you reserve your free spot now, and mark your calendars for October 11th, 12:10-1:00 PM EST, and make sure you don’t miss this exciting learning opportunity.

Comments

Rated 0 out of 5 stars.
No ratings yet

Add a rating
bottom of page