Articles
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

Jagdeep Chawla April 18, 2024
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,

Jagdeep Chawla April 18, 2024
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.

Jagdeep Chawla April 18, 2024
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.

Jagdeep Chawla March 27, 2024
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 offshore scientists to leverage these opportunities fully. Understanding the Role of NLP in Manufacturing Defining

Jagdeep Chawla March 22, 2024
tec-banner
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

Jagdeep Chawla March 20, 2024
pharmaceutical-img
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

Jagdeep Chawla March 18, 2024
img classification
Computer Vision
Jagdeep Chawla

Visual Data: The Role of AI in Image Classification

Discover how artificial intelligence is revolutionizing image classification solutions. Visual Data: The Role of AI in Enhancing Image Classification Solution Visual data plays a crucial role in today’s digital age, where images are a significant part of our day-to-day lives. From social media posts to medical scans, the ability to classify and understand visual data is essential for various industries and applications. No wonder the global visualization software market is forecast to grow. According to a report by  Lionel Sujay Vailshery, in 2019, the market’s value was 1.63 billion U.S. dollars. In 2030, this number will reach 9.61 billion U.S. dollars.   With the advancements in artificial intelligence (AI), image classification has reached new heights in accuracy and efficiency. In this article, we will explore the

Jagdeep Chawla March 15, 2024
ethical-banner
Data Science
Dipti Sharma

The Ethical Frontier: Navigating the Moral Landscape of AI in Healthcare

Discover the intricate moral dilemmas and ethical considerations surrounding the integration of AI in healthcare. AI Ethics in Healthcare: Navigating Moral Challenges Advancements in artificial intelligence (AI) have revolutionized various industries, including healthcare. These technological innovations offer promising solutions to improving patient care, but they also raise ethical concerns. Understanding the intersection of AI and healthcare is crucial in navigating the moral landscape of this rapidly evolving field. Understanding the Intersection of AI and Healthcare Defining AI in the Context of Healthcare AI, in the context of healthcare, refers to the use of computer algorithms and machine learning techniques to analyze medical data and make predictions or recommendations. It involves teaching machines to learn from large datasets, enabling them to recognize patterns, diagnose diseases, and

Dipti Sharma March 14, 2024
Data Science
Jagdeep Chawla

The Future of Automation: Deep Learning’s Role in Revolutionizing IndustriesTechnologies

Discover how deep learning is shaping the future of automation and revolutionizing various industries and technologies. Automation has become an integral part of our modern society, revolutionizing industries and technologies. It has simplified processes, increased productivity, and transformed the way we live and work. With the emergence of deep learning, automation is set to reach new heights. In this article, we will explore the intersection of automation and deep learning, the impact of deep learning on various industries, the challenges and solutions in implementing deep learning for automation, and the future outlook of this powerful combination. Understanding Automation and Deep Learning Defining Automation in the Modern Context In today’s world, automation refers to the use of technology to perform tasks with minimal human intervention. It

Jagdeep Chawla March 5, 2024

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