Articles

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 offshore scientists to leverage these opportunities fully. Understanding the Role of NLP in Manufacturing Defining

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

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

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

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

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

Computer Vision
Jagdeep Chawla

The Evolution of Object Detection Technologies in AI

Object detection is a fundamental challenge in the field of artificial intelligence (AI). It involves identifying and localizing objects within digital images or videos. Over the years, there have been significant advancements in object detection technologies, revolutionizing many industries and applications. Understanding Object Detection in AI Object detection can be defined as the process of identifying and categorizing different objects within an image or video. It goes beyond simple image classification, as it not only identifies objects but also determines their precise locations. In the realm of AI, object detection plays a crucial role in various applications such as autonomous vehicles, surveillance systems, medical imaging, and augmented reality. The ability to accurately detect and locate objects is essential for these technologies to function effectively. Example:

Enhancing-Passenger
Aviation
Jagdeep Chawla

Enhancing Passenger Experience: AI in In-Flight Services

London’s Heathrow Airport uses Einstein AI to entertain its customers. Alaskan Airlines saved tons of jet fuel on their flights with the help of AI. At the same time, Swiss International Air Lines saved USD 5.4 million last year only by implementing AI technology to calculate efficiency scenarios. Aviation has entered the AI race. We may deem this start as successful. Now, as aviation companies implement artificial intelligence in different business aspects, let’s focus on customer comfort during the fight. This article will discuss how aviation companies use artificial intelligence to enhance in-flight customer experience. You’ll learn: – The application of AI in aviation: general overview – Smart cabins explained – How connected cabin and AI make flight experience better – The benefits of AI-powered customer experience Let’s get

Data Science
Jagdeep Chawla

OCR for Streamlined Customs and Compliance Procedures

By 2027, the global e-commerce market number will increase by 39% yearly. This means more people will buy online from different places, leading to increased operational pressure on customs points. Implementing optical character recognition and AI in this sphere will change the game. Both markets have much in common: spending on artificial intelligence will increase from 250 billion USD in 2023 to almost two trillion USD in 2030, so it will be growing in line with international trade. In this article, we shall discuss how OCR and AI automation can streamline processes and reduce manual labor in customs and compliance procedures so that customs checks do not become the bottlenecks of commercial growth. Let’s get started! The Growth of E-Commerce and Customs Regulations Challenges According

Let's Talk Strategy

Cant Find
What you’re looking for?

We’re here to help you.

Still not sure?

Talk to us: (844) 505-3439, +91 987 283 1971

Microsoft_.NET_Logo.svg_