Author name: Revti Vadjikar

Revti Vadjikar is a digital marketing associate who creates and distributes compelling stories about data science. She creates engaging blogs, case studies, visual and video content for US-based businesses operating in a variety of industries. She is an engineer who is passionate about reading non fiction stories

Revti Vadjikar
Top 3 Ways Netflix Uses Analytics to Keep Customers Hooked

Top 3 Ways Netflix Uses Analytics to Keep Customers Hooked

Netflix is the leader in the entertainment industry with more than 93 million users worldwide. In fact, Netflix uses analytics to keep customers hooked by collecting data as users log in, browse and watch the content. But, how does it manage to produce shows that the audience loves? The Netflix algorithm jumps to work as […]

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AI and Big Data - The Next Big Thing in Sports Production

AI and Big Data – The Next Big Thing in Sports Production

Traditionally, people had to be present at a sporting event to experience a game. There was no other way to experience it unless somebody told you the highlights of the match. Essentially, sports broadcasting was developed from discussing and retellings of sporting events. Subsequently, the hype expanded more from the radio, and television, culminating in

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4 Uses of AI in Netflix and Other Streaming Services

4 Uses of AI in Netflix and Other Streaming Services

As online streaming services boom, AI becomes integral for platforms like Netflix to personalize experiences. From thumbnail selection using contextual bandits to tailored movie recommendations based on viewer preferences, AI is reshaping how we consume content. Quality control processes, powered by machine learning, ensure optimal viewing experiences, while advancements like deep learning aim to enhance live streaming quality.

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AI in Sports: Current Use Cases and Future Challenges

AI in Sports: Current Use Cases and Future Challenges

Artificial Intelligence in sports was rare just five years ago. But now AI is making its way into many sports industry applications, from chatbots to computer vision and beyond. Let’s take a simple scenario: AI, when coupled with sensors, can transform how we measure players’ performance. It can measure the body functions of athletes such

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