The popularity of AI's potential to transform the way industries function has grown immensely in the social media sphere as well. It has grown to become an integral component of social media giants such as Instagram, Facebook, and Twitter. These companies are availing the various benefits of AI like enhanced security, better customer engagement, and in-depth analytics.
How Instagram Uses AI to Enhance The User Experience
By Allen Victor on Jul 20, 2021 6:31:20 PM
How does AI work? Top 10 Key Apps that Use AI
By Allen Victor on Jul 13, 2021 3:43:37 PM
Machines have historically aided humans to maneuver several challenging tasks all through the dark ages and the industrial revolution. A decade after the Enigma machine helped the Allies win World War II, its inventor Alan Turing posed the one question that expanded our horizons for innovation - Can machines think?
5 Use Cases for Machine Learning(ML) Predictive Models in Finance
By Allen Victor on Jun 22, 2021 1:09:27 PM
Finance industry processes are becoming more foolproof and efficient due to automation. There is plenty of evidence to showcase the growing impact of Machine Learning (ML) and its wide acceptance across various use cases in capital markets.
4 Ways AI Optimizes Healthcare Imaging Analytics
By Allen Victor on Jun 21, 2021 9:25:56 AM
The radiology wing of hospital systems and diagnostic centers generates an abundance of sensitive data. However, they often lack the analytics infrastructure to access and parse the data efficiently. To make the most of this available big data, radiologists are leveraging AI-based imaging analytics.
Top 5 Trends in AI Landscape
By Archna Oberoi on May 25, 2021 8:45:00 PM
It was the 1950s' when Alan Turing conceptualized Artificial Intelligence. Nobody would have imagined the vast array of applications that this technology could offer. He formed the mathematical & logical reasoning behind the concept of machines and computers replicating human intelligence, which today has outgrown to even replace humans for certain tasks.
Conversational AI: Why is it the need of the hour?
By Devi Singh on Feb 17, 2021 4:22:49 PM
We are all aware of chatbots and how they interact with us. And we all have invariably wished if only they were more human-like.
Admit it, it is pesky to be interacting with a bot especially when it fails to understand your core issues. That’s when you wish if only you were talking to a human than a virtual assistant.
How can technology enable efficient COVID-19 vaccine delivery?
By Swapnil Minz on Feb 8, 2021 1:27:23 PM
It was 31st December when WHO’s Country Office in the People’s Republic of China got the news from a media statement by Wuhan Municipal Health Commission, of a case of “viral pneumonia” in Wuhan, capital of Central China’s Hubei province. What seemed to be a “viral pneumonia”, after detailed studies were coined as a novel coronavirus, thus marking the inception of the COVID-19 pandemic.
6 Sales Processes That You Need to Automate Now
By Devi Singh on Oct 14, 2020 12:19:45 PM
Converting prospects into customers – the ultimate goal of closing more sales – depends on how you prospect your customers.
Are you doing it any differently? By differently we mean using automation to nudge your prospect to take the next step in the journey. If yes, it’s great if not then read on.
7 Amazing Examples of Image Recognition Apps
By Archna Oberoi on Aug 26, 2020 6:11:21 PM
Humans have exceptional power for image recognition. High-level image understanding, contextual knowledge, and the ability for parallel processing are some of the factors that contribute to precise recognition of objects, places, people, writing, and actions. However, humans develop these abilities over time and have a limitation as well. When it comes to recognizing images from a large set of data, human processing power might fail.
CNN vs. RNN: What's the Difference?
By Archna Oberoi on Aug 11, 2020 3:38:00 PM
Machine Learning is one of the proficient technologies that we have for pattern recognition, data mining, statistical analysis on large volumes of data. It’s enabling machines to recognize intricate patterns and make intelligent decisions, without human intervention. In order to achieve this, the ML technology is accompanied by neural networks.
