machine learning solutions
(41)
What Is a Recommendation Engine and How Does It Work?
As per McKinsey, 67% of consumers expect relevant product or service recommendations and 71% of consumers are more likely to purchase from businesses offering personalized services. Recommendation engine algorithms empower businesses to ma...
Himadri Patel · 28 March · 1The Role of Predictive Analytics in Shaping the Future of Healthcare
Imagine a world where clinicians could predict chronic health risks and take proactive measures before an actual condition manifested. Heart attacks become preventable, and doctors can reverse diabetes. Health organizations could predict outbreaks and devise strategies to mitigate their impact. Mortality rates would plummet while the health index s...
Maruti Techlabs · 03 October 2023 · 3Training Data for Natural Language Processing
The spoken words you use in regular interactions with other people are known as natural language. Machines could not comprehend it not long ago. However, data scientists are already working on artificial intelligence systems that can comprehend natur...
tagx · 13 October 2023 · 2What is Good Quality Training Dataset for Machine learning
Training data is the key input to machine learning and having the right quality and quantity of data sets is important to get accurate results. In the planning stages of a machine learning problem, the team is usually excited to talk about algorithms...
tagx · 11 October 2023 · 2The impact of machine learning on advertising
Machine learning has revolutionized numerous industries over the past few years, and advertising is no exception. Machine learning algorithms have transformed how advertising campaigns are planned, executed, and optimized. This article will explore t...
Elyts · 18 January · 1Vehicle Damage Assessment: Digitally transformed by Computer Vision and Data Annotation
Machine learning is already being employed across multiple industries to automate the processes that are slowed down by manual, repetitive steps. With advanced algorithms, techniques, and frameworks under the hood, AI tools can accelerate the process...
tagx · 23 October 2023 · 1Image And Video Annotation for LiDAR Data
What is Lidar Data? Lidar (light detection and ranging) is an optical remote-sensing technique that uses laser light to densely sample the surface of the earth, producing highly accurate x,y,z measurements.Lidar is an active optical sensor that tran...
tagx · 31 October 2023 · 4What is Synthetic Data Generation and its importance for AI
The success of AI algorithms relies heavily on the quality and volume of the data. Real-world data collection is costly and time-consuming. Furthermore, due to privacy regulations, real-world data cannot be used for research or training in most situa...
tagx · 07 November 2023 · 1AI in Insurance How it works and use cases
The insurance industry leads the way in its AI implementation. For each and every insurance actor, artificial intelligence and image recognition present opportunities to offer an enhanced user experience, to optimize costs, or even to free up staff f...
tagx · 08 November 2023 · 1Computer Vision is transforming Security Surveillance
Security Cameras without Intelligence Surveillance is an essential aspect of security and patrol operations. For the most part, the work means spending long stretches of time on the lookout for something bad to happen. It is important that we do so,...
tagx · 17 November 2023 · 5Empowering the Electricity Power Sector with AI/ML Data-Driven Solutions
The electricity power sector plays a pivotal role in providing a continuous and reliable power supply to meet the growing demands of industries and households. However, the sector faces numerous challenges in efficiently storing, collecting, interpre...
Max Syed · 11 March · 2Transforming Data Management in the Oil & Natural Gas Industry with Odyssey Analytics
The oil and natural gas industry operates in a complex ecosystem where data plays a pivotal role in decision-making, efficiency, and safety. From exploration to extraction and distribution, the sector deals with massive datasets, facing challenges in...
Max Syed · 14 March · 1AI Trends in Retail: How Data Annotation is aiding its development?
Artificial Intelligence boosts productivity saves time and increases efficiency when applied across industries. In retail, the story is no different. AI is already being used by savvy retailers to improve productivity and profitability. Retail busine...
tagx · 30 October 2023 · 1Significance of Training Data for Self-Driving Cars
Training a new driver is straightforward and makes them practice until they can master basic skills well enough to pass a driver's license exam. But there are no such tests for Self Driving Cars, leaving it up to developers to decide when their techn...
tagx · 01 November 2023 · 1The AI Revolution: The Role of AI and Machine Learning Services in Transforming Businesses
As technology advances at rapid speed, AI and machine learning have become critical components of both new and established businesses. These cutting-edge technologies are changing the way businesses function, resulting in increased efficiency and pro...
Rachell · 18 December 2023 · 2Facial Recognition: Execution and how Data Annotation is useful for it?
Facial recognition is a way of recognizing a human face through technology. A facial recognition system uses biometrics to map facial features from a photograph or video. It compares the information with a database of known faces to find a match. Mo...
tagx · 28 October 2023 · 2