data annotation
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AI 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 · 1
What 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 · 1
Computer 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 · 5
Unlocking Insights: Exploring the Power of Data Scraping in the Digital Age
In today's digital age, data is being generated at an unprecedented rate. From online platforms and social media to e-commerce websites and research databases, a vast amount of information is readily available for those who know how to harness it...
tagx · 12 February · 1
How Data Annotation is used for Speech Recognition
Speech recognition refers to a computer interpreting the words spoken by a person and converting them to a format that is understandable by a machine. Depending on the end goal, it is then converted to text or voice, or another required format. For i...
tagx · 20 February · 1
Implementation of Artificial Intelligence in Gaming
What is AI in Gaming? AI in gaming is the use of artificial intelligence to create game characters and environments that are capable of responding to a player’s actions in a realistic and dynamic way. AI can be used to create believable ch...
tagx · 23 February · 2
MLOps and ML Data pipeline: Key Takeaways
If you have ever worked with a Machine Learning (ML) model in a production environment, you might have heard of MLOps. The term explains the concept of optimizing the ML lifecycle by bridging the gap between design, model development, and operati...
tagx · 24 February · 2
How Data Annotation is used for AI-based Recruitment
The ability of AI to assess huge data and swiftly estimate available possibilities makes process automation possible. AI technologies are increasingly being employed in marketing and development in addition to IT. It’s not surprising that...
tagx · 17 February · 1
How NLP can increase Financial Data Efficiency
The finance sector is driven to make a significant investment in natural language processing (NLP) in order to boost financial performance by the quickening pace of digitization. NLP has become an essential and strategic instrument for financial...
tagx · 26 February · 1
What is Content Moderation and types of Moderation?
Successful brands all over the world have one thing in common: a thriving online community where the brand’s fans and influencers engage in online conversations that contribute high-value social media content, which in turn provides incredible...
tagx · 19 November 2023 · 3
Data Annotation for Fine-tuning Large Language Models(LLMs)
The beginning of ChatGPT and AI-generated text, about which everyone is now raving, occurred at the end of 2022. We always find new ways to push the limits of what we once thought was feasible as technology develops. One example of how we are using technology to make increasingly intelligent and sophisticated software is large language models. On...
tagx · 27 January · 1Unveiling the Power of Data Annotation Technologies in Machine Learning
In the realm of machine learning, the accuracy and reliability of models hinge on the quality of annotated data. Data annotation technologies play a pivotal role in transforming raw data into a structured, labeled format, providin...
give it · 03 February · 1
The Invisible Heroes of AI: Understanding the Significance of Data Annotation
In the realm of artificial intelligence (AI), behind every groundbreaking algorithm and every revolutionary model lies an often overlooked yet indispensable process – data annotation. While AI is celebrated for its transformative potential across industries, from healthcare to finance, the quality of its output is intricately linked to the qu...
Globose technology solution Pvt. Ltd · 12 February · 1The Ultimate Guide to Data Ops for AI
Data is the fuel that powers AI and ML models. Without enough high-quality, relevant data, it is impossible to train and develop accurate and effective models. DataOps (Data Operations) in Artificial Intelligence (AI) is a set of practices and proce...
tagx · 16 February · 1
How Data Annotation drives precise AI Video Analytics
In the era of data-driven insights and intelligent automation, video analytics has emerged as a transformative technology, revolutionizing the way we extract valuable information from video data. At the heart of this innovation lies the power of artificial intelligence (AI) and its ability to analyze and interpret video content with remarkabl...
tagx · 10 February · 1AI and Data Annotation for Manufacturing and Industrial Automation
Industrial automation refers to the use of technology to control and optimize industrial processes, such as manufacturing, transportation, and logistics. This can involve the use of automation equipment, such as robots and conveyor belts, as well...
tagx · 19 February · 1