Articles

Data Science
Amritpal Tiwana

The Role of AI in Treating Varicose Veins and CVI: Thermal Imaging for Spider Vein Detection and Chronic Venous Insufficiency

Discover how AI is revolutionizing the treatment of varicose veins and chronic venous insufficiency (CVI) through thermal imaging for spider vein detection. The Role of AI in Treating Varicose Veins and CVI: Thermal Imaging for Spider Vein Detection and Chronic Venous Insufficiency Varicose veins and chronic venous insufficiency (CVI) affect millions. According to statistics, about 5% of people worldwide suffer from these conditions. At the same time, cardiovascular diseases are causing huge expenses. It is predicted that by 2035, the total costs of all cardiovascular diseases in the US will add up to about 1.1 trillion dollars.  Early detection and effective diagnostics can reduce these expenses and relieve patients’ suffering.  Technological advancements, specifically artificial intelligence (AI), are making promises in diagnosing and treating varicose veins

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Data Science
Jagdeep Chawla

Empowering Early Detection: AI’s Breakthrough in Predictive Health Analytics

Discover how artificial intelligence is revolutionizing predictive health analytics, empowering early detection of diseases and improving patient outcomes. Empowering Early Detection: AI’s Breakthrough in Predictive Health Analytics Predictive health analytics has emerged as a revolutionary approach to detecting diseases at their earliest stages, enabling timely interventions and improved outcomes. This cutting-edge technology leverages artificial intelligence (AI) to process vast amounts of data and identify patterns that human analysts may miss. By harnessing the power of AI, predictive health analytics holds the promise of revolutionizing healthcare as we know it. Understanding Predictive Health Analytics In order to comprehend the significance of AI in predictive health analytics, it is important to understand the basics of this field. Predictive health analytics involves the use of advanced algorithms to

Computer Vision
Jagdeep Chawla

Speech to text solution for document handling in aviation logistics

Discover how the latest speech to text solution is revolutionizing document handling in aviation logistics. Speech to text solution for document handling in aviation logistics Surprisingly, paperwork is the spine of aviation. Even pilots (not to mention dispatching or maintenance officers) spend 75% of their work time doing reports. Imagine having these things simplified with the help of speech-to-text technology and AI. In this article, we will explore the main aspects of speech-to-text technology, its role in aviation logistics, the benefits of implementing it, and the challenges and future outlook. Let’s get started!  Technological Advancements in Aviation: AI and Automation In our previous articles, we’ve already discussed the importance of automation in aviation and the role of AI in this process. For example, we’ve described

Insurance Fraud Prevention via Deep Learning -eNest IT
Data Science
Jagdeep Chawla

Insurance Fraud Prevention via Deep Learning

Learn how deep learning technology is revolutionizing the fight against insurance fraud. Preventing Insurance Fraud with Deep Learning Insurance fraud costs the US about $308.6 billion annually. After tax evasion, it is the second most costly white-collar crime in the US. This is a significant issue that affects both the insurance industry and consumers. Fraudulent claims cost insurance companies billions of dollars yearly, increasing premiums. For example, an average insurance holder loses up to $900 due to fraud-induced premium rates. No wonder insurance companies invest actively in AI-based security software and solutions. For example, Lemonade insurance provider, which operates in the United States and the UK, has deployed chatbots to handle insurance claims. It let the company double its revenue (from $67 million in 2019

Computer Vision
Jagdeep Chawla

Driving Efficiency: Computer Vision for Autonomous Vehicles

Explore the potential of computer vision in revolutionizing autonomous vehicles and driving efficiency. Driving Efficiency: Computer Vision for Autonomous Vehicles It’s not just Tesla: Google (Waymo), General Motors (Cruise), Apple, and many others have sent their pilot versions of autopilot taxis to the streets. Yet, the deployment process doesn’t run without friction: recently, the city of Austin, Texas, asked the autonomous taxi company Cruise to ground their vehicles for Halloween, the Los Angeles city officials opposed letting Google’s subsidiary Waymo into their city. The reasons for that were the concerns about the safety of driverless vehicles and the lack of oversight on how they work.   The discussed efficiency of driverless cars and other technologies greatly depends on the developments in computer vision. In this article,

Data Science
Jagdeep Chawla

Optimizing Object Detection AI Models for Efficiency

Learn how to optimize object detection AI models for efficiency with these practical tips and techniques. Optimizing Object Detection AI Models for Efficiency Object detection makes robots and driverless cars navigate their surroundings and actually “see.” The evolution of this technology is significant, if not vital, for the further application of artificial intelligence across industries.  Despite its unraveled success, object detection technology still has limitations. These can include iPhones’ inability to see their owners’ morning faces or autopilot cars’ failure to detect Halloween kids. The solutions to such issues and expanding the possibilities of AI-based object detection require and, in fact, attract huge investment. No wonder that between 2016 and 2025, AI software for vehicular object detection is expected to generate 9 billion U.S. dollars. 

AI Transforming Medical Diagnostics - eNest Technologies
Data Science
Jagdeep Chawla

AI Transforming Medical Diagnostics

Discover how AI-powered medical imaging technologies are revolutionizing diagnostics and improving patient care. AI Transforming Medical Diagnostics As advancements in technology continue to shape various industries, healthcare is no exception. In recent years, the rise of AI-powered medical imaging technologies has revolutionized diagnostics, providing accurate and timely results for better patient outcomes. Understanding AI and Medical Imaging AI, or Artificial Intelligence, refers to computer systems that are designed to perform tasks that typically require human intelligence. When applied to medical imaging, AI algorithms analyze images and extract meaningful information, aiding in the detection and diagnosis of various medical conditions. One of the key advantages of utilizing AI in medical imaging is its ability to process images at a speed and scale that surpasses human capabilities.

Manufacturing Industry Revolution Using NLP
Data Science
Jagdeep Chawla

Manufacturing Industry Revolution Using NLP

Discover how natural language processing (NLP) is revolutionizing the manufacturing industry, boosting efficiency and streamlining processes. Improving Manufacturing Efficiency Through NLP Can NLP actually help in manufacturing? Is that so important? In fact, yes.  NLP uncovers a real treasure of data that is often overlooked or thought of as not relevant. These are the reports, you’ve forgotten about for 10 years already, 5 thousand e-mails in your inbox, meeting notes, archives, angry emojis on your Facebook page, etc. When used wisely, this data can actually make you richer.  In this article, we’ll discuss how NLP can transform overlooked, irrelevant data into valuable assets, particularly emphasizing the strategic move to hire a data scientist  to leverage these opportunities fully. Understanding the Role of NLP in Manufacturing

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Data Science
Jagdeep Chawla

Gen AI in Operations: Exploring The Influence of Artificial Intelligence Across Industries

Discover how AI technologies such as Gen AI are reshaping the business landscape. Impact of Gen AI on Industries Artificial Intelligence (AI) technologies have been making significant strides in recent years, transforming the way organizations operate. One such groundbreaking technology is Gen AI , which has revolutionized various industries. In this article, we will delve into the basics of AI technologies, examine the impact of AI on organizational operations, explore the transformation brought about by Gen AI, and discuss the challenges associated with implementing AI technologies. Understanding the Basics of AI Technologies Defining Artificial Intelligence (AI) Artificial Intelligence refers to the development of computer systems that can perform tasks that typically require human intelligence. These tasks involve processes such as speech recognition, problem-solving, learning, and

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Data Science
Jagdeep Chawla

The Role of AI in Drug Discovery & Pharmaceutical Development

Discover how artificial intelligence is revolutionizing drug discovery in the pharmaceutical industry. The Role of AI in Drug Discovery & Pharmaceutical Development Fewer than 10% of drug candidates pass the fourth stage of the drug discovery process. For each drug candidate, the project takes up to 10–15 years   from the first to final stage. On average, a new drug costs about 2 billion USD, and 90% of this cost and timeline is wasted. AI changes this game. With its ability to analyze vast amounts of data and make predictions, AI is transforming the drug discovery process, leading to faster and more efficient development of medications that can potentially save lives. Understanding Artificial Intelligence in Pharmaceutical Development In order to fully appreciate AI’s impact on

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