Saikat's Blog

Why Your Marketing Strategy Needs Machine Learning Now Introduction Marketing for decades depended on guesswork and general assumptions. Things are however changing with the advent of machine learning (ML), focusing attention away from guesswork to data-driven decision-making. Machine learning algorithms are no longer tomorrow's novelties; they're already transforming the manner in which marketers interact with audiences, optimize campaigns, and ultimately drive business outcomes. It's a model proving to be priceless with the ability to personalize, predict customer needs, and optimize ROI. Let's examine how some algorithms are disrupting the game in different marketing fields. Customer Segmentation: Getting to Know Your People on a Deeper Level At the heart of effective marketing is understanding your audience, and it starts with segmentation. Segmentation used to depend on coarse demographics. Now, machine learning algorithms, and K-Means Clustering in particu...

Simple Ways to Use Data to Improve Your Marketing Campaigns. Introduction Today, decision-making based on data is no longer an option for marketers. With data, you get improved results, are more in control of your marketing spend, and connect with your audience on a personal level. Instead of guessing what works, data shows you what really works. Here are simple tips to make data your best marketing asset. Expect actionable tips you can use today to boost your marketing effectiveness. Comprehending the Role of Data in Marketing Success The Transition to Data-Driven Marketing Marketers would make informed guesses regarding what customers needed years ago. Today, wiser brands examine facts before anything else. They study website traffic, social media, and sales data. This has led to more campaign outcomes. For example, organizations that employ data experience a typical 20% increase in sales versus organizations that do not. What Kind of Data Excites Marketers The key to imp...

The Timeline That Defined the Rise of Artificial Intelligence. Introduction The beginning of artificial intelligence (AI) started with a legend. There were tales of machines as human as can be, such as Talos, a giant made of bronze, and the Golem, a clay creature to be awakened. Inventors created simple machines imitating human and animal movement over the years, keeping the vision of AI alive. In the 1940s, the concept of a thinking machine was becoming serious.  The development of digital computers led people to feel that human thought could be replicated by machines. In 1956, a team of researchers formally began AI research at the Dartmouth Workshop.  Governments provided them with plenty of m...

Why Stories Help Your Audience Understand Your Data Better. Introduction Information is everywhere in modern society, and it informs, shapes strategies, and allows people to tell stories about the world. Context-free data can be overwhelming or even boring to most people. The true value of a huge dataset or intricate story may be hard to tell. That is where storytelling comes in. Adding stories to data makes it simpler to understand and remember. It grabs people and allows people to connect to knowledge on a deeper level. The Power of Story in Data Communication The Psychological Roots of Storytelling and Data Interpretation.  Fables are more than entertainment; they stimulate different areas of the brain. When you are told a fable, the brain functions in ways that cannot happen with mere numerals. This stimulation thus increases both knowledge and recollection of information. It is found that when information is given as a fable, people are much more likely to recall it. Fables tr...