Reshma M
AI and ML Use Cases in Insurance Industry
Changing customer expectations, deteriorating profit margins because of traditional methods, fierce competition, and an ever-changing industry landscape push insurance companies to become innovative. Understanding the demands, the industry players have realized that technology-enabled service is the future.  AI and Machine Learning in insurance are changing the entire insurance sector and letting companies provide better…
Reshma M
NLP in Aviation –Â A Revolution
Thanks to chatbots and personal assistants, Natural Language Processing (NLP) – an AI-based technology, has become an imperative part of our daily lives. People may have just heard of the term, but few understand the complexities of NLP algorithms and how we use them every day.  You can place NLP solutions into three comprehensive…
RecoSense
Two Revolutionary Advancements in AI You Must Know
Artificial Intelligence (AI) is the newest and most significant technological trend right now, but the best ways to use it in business and trade are still being developed. The next big thing for AI is database management, whether it’s in the cloud or on-premises. Researchers are working to take big data to the next level…
RecoSense
Deep Learning in Personalization
Personalization has been around for a long time and many businesses have begun to use data about customers to drive targeted marketing; but personalization is changing, and we’re now at the cusp of the next generation: Deep Learning.  In the beginning, consumers were targeted when they browsed a website or viewed a TV show.…
Reshma M
Role of AI in Recovery of Digital Shopping Cart Abandonment
Artificial Intelligence (AI) has revolutionized the way eCommerce businesses operate. AI has improved several aspects of the industry, from lead generation to data collection. Customer-facing services are being transformed by machine learning algorithms concurrently. Presently, eCommerce merchants adopt several tactics like automated logistics, customer email syncing, smart sales predictions, etc., to integrate AI into their…
Abhilash Dasari
Maximize ROI With AI-Driven Content Acquisition Strategy
A couple of years ago, a single hit show could carry an entire streaming platform on its back. However, as the market begins to saturate, OTT or streaming service providers are teaming up with content producers to earn a precious resource – their audience’s interests. As a result, they are tapping into the potential of…
RecoSense
Humanizing Big Data: Key Approaches That Give You the Best of Both Worlds
Digitalization has transformed how we interact with our external environment. For instance, consider something as simple as purchasing from a brick-and-mortar store. Â Previously, a sales executive would scope you out and understand your preferences before making sales recommendations that you could act upon. However, the modern-day consumer is highly empowered to the extent that…
RecoSense
Marrying AI With BI: Making Sense of Data to Deliver Value
The art of decluttering data into meaningful conclusions and inferences is one of the most sought-after competencies for a brand. With manual data extraction becoming mostly redundant, the need for automation that yields accurate results is more now than ever. According to G2, around 95% of businesses need to adopt smarter ways of managing unstructured…
Abhilash Dasari
How Rich Metadata can be a Real Game Changer for your Media Organization
The use of digital technologies has skyrocketed due to the pandemic as people are staying at home more than ever. Among various sectors, the media sector has witnessed a steep rise in content consumption on digital platforms. While the increase in video, text and audio content of sports and news is apparent, according to a…
RecoSense
How Optimized Data Orchestration can Power Your Data Value?
Just like in a symphony where the conductor makes specific hand movements to cue all the instruments to be timed and aligned to produce a perfect piece of music, data orchestration is the process where siloed data is organized, transformed, and made available to the data analysis tools of a company to achieve data maturity.…
