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12+ Data Augmentation Techniques for Data-Efficient ML
Data augmentation techniques generate different versions of a real dataset artificially to increase its size. Computer vision and natural language processing (NLP) models use data augmentation strategy to handle with data scarcity and insufficient data diversity. Data-centric AI/ML development practices such as data augmentation can increase accuracy of machine learning models.
Top 5 Insurance Chatbots with Real-life Use Cases
In 2024, the global insurance industry’s premium income increased by approximately 9%, totaling ~$8 trillion, highlighting strong demand and escalating digital investments. At the same time, the global insurance chatbot market is projected to reach a value of $5238 million by 2033, indicating the rapid growth of chatbots in the insurance industry industry.
Meta Learning: 7 Techniques & Use Cases
Training and fine-tuning a typical machine learning (ML) model can take weeks and cost thousands. Meta learning helps cut this down by leveraging prior learning experiences to accelerate training, reduce costs, and improve generalization. Explore key meta learning techniques and use cases in fields like healthcare and online learning.
Top 12 Use Cases & Examples of Retail Chatbots
Retail chatbots serve as advanced AI-powered assistants that integrate online and in-store interactions. Modern chatbots utilize multimodal inputs, real-time data, and large language models to deliver personalized shopping experiences, streamline workflows, and enhance consumer satisfaction.
43 Back Office Automation Examples: RPA, WLA, AI/ML
Many tasks in IT, HR, and finance are repetitive, data-based, and labor intensive, which makes the back-office a great candidate for automation using AI and RPA, and workload automation. According to research, RPA in the back office can reduce 40% of the cost of employees, providing a quick and tangible ROI to organizations.
Federated Learning: 5 Use Cases & Real Life Examples
McKinsey highlights inaccuracy, cybersecurity threats, and intellectual property infringement as the most significant risks of generative AI adoption.Federated learning addresses these challenges by enhancing accuracy, strengthening security, and protecting IP, all while keeping data private.
Tether USDT is possibly a scam but it can remain valuable
Please read our disclaimer on investment related articles. Tether (USDT) is a stablecoin with a claimed value where 1 USDT equals 1 US dollar. Tether Limited, the centralized authority of USDT, has the ability to print tether and therefore is claiming to print something equivalent to US dollars.
OCR Benchmark: Text Extraction / Capture Accuracy
OCR accuracy is critical for many document processing tasks and SOTA multi-modal LLMs are now offering an alternative to OCR. We tested leading OCR services to identify their accuracy levels in different document types: 2025 OCR benchmark results Product names were shortened above, their full names are listed below.
Differential Privacy: How It Works, Benefits & Use Cases
Violating data privacy is costly for organizations due to factors such as diminished reputation or regulatory fines. IBM’s 2022 Cost of a Data Breach report states that the average total cost of a data breach is nearly $4.5 million. However, access to private information is required in building solutions to many important business problems.
Alpha Network is a Waste of 15 Seconds per Day
Alpha Network is a game-like application where the user clicks on a button once a day and receives free coins for 24 hours. Much like Eagle Network and Pi Network it has red flags circling its whitepaper and anonymous creators.