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...
26 February
·
0
· 1
·
tagx
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...
24 February
·
0
· 2
·
tagx
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 d...
23 February
·
0
· 2
·
tagx
Intelligent Document Processing Workflow and Use cases
Artificial Intelligence has stepped up to the front line of real-world problem solving and business transformation with Intelligent Document Processing (IDP) becoming a vital component in the glob...
22 February
·
0
· 1
·
tagx
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 t...
20 February
·
0
· 1
·
tagx
AI 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 equ...
19 February
·
0
· 1
·
tagx
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...
17 February
·
0
· 1
·
tagx
The 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...
16 February
·
0
· 1
·
tagx
Data Annotation for Smart Security and Surveillance
Computer vision is a rapidly growing field of artificial intelligence that is revolutionizing the way we interact with technology. It involves the development of algorithms, models, and systems th...
15 February
·
0
· 1
·
tagx
Data Annotation: How it Can Boost Your AI Models?
As artificial intelligence (AI) continues to revolutionize various industries, data annotation has become an essential part of the process. Essentially, data annotation involves labeling data to make...
14 February
·
0
· 2
·
tagx
Data Annotation Outsourcing: How to choose a reliable vendor
Artificial Intelligence (AI) has rapidly grown and transformed the way businesses operate and interact with their customers. The success of an AI model is heavily dependent on the quality of the...
13 February
·
0
· 1
·
tagx
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 read...
12 February
·
0
· 1
·
tagx
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...
10 February
·
0
· 1
·
tagx
Synthetic Data: Description, Benefits and Implementation
The quality and volume of data are critical to the success of AI algorithms. Real-world data collection is expensive and time-consuming. Furthermore, due to privacy regulations, real-world data ca...
09 February
·
0
· 1
·
tagx
Synthetic Document Generation for NLP and Document AI
NLP (natural language processing) and document AI are technologies that are quickly developing and have a wide range of prospective applications. In recent years, the usage of NLP and document AI has significantly increased across a variety of industries, including marketing, healthcare, and finance...
08 February
·
0
· 1
·
tagx
A Comprehensive Overview of Object Detection Datasets in Computer Vision
Object detection datasets in computer vision refer to collections of labeled images or videos that are specifically curated and annotated for the task of object detection. These datasets are used to t...
07 February
·
0
· 1
·
tagx
