Explore Research Studies
Future of Deep Learning according to top AI Experts in 2025
Deep learning is currently the most effective AI technology for numerous applications. However, there are still differing opinions on how capable deep learning can become.
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.
Automotive Digital Transformation with Use Cases in 2025
Technology-driven trends, new customer demands, the Internet of Things (IoT), and new advances in artificial intelligence support digital transformation (DX) in the automotive industry. This transformation involves the product design process, manufacturing, maintenance, operations, and sales and marketing. The competition in the automotive industry has changed in the last twenty years.
![Top 10 Insurance Chatbots Applications & Use Cases [2025]](https://research.aimultiple.com/wp-content/uploads/2021/04/Insurance-omnichannel-is-demanded-by-people-190x122.png.webp)
Top 10 Insurance Chatbots Applications & Use Cases [2025]
Today around 85% of insurance companies engage with their insurance providers on various digital channels. To scale engagement automation of customer conversations with chatbots is critical for insurance firms. The problem is that many insurers are unaware of the potential of insurance chatbots.
Meta Learning: 7 Techniques & Use Cases in 2025
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.
3 Powerful Reasons to Use Digital Twin of an Organization
The global digital twin market size is estimated to reach $73.5 billion by 2027. Digital twin of an organization (DTO) is a newer application of digital twin technology, aiming to capture how a business functions in real time.
Top 12 Use Cases & Examples of Retail Chatbots in 2025
According to chatbot stats, over 70% of chatbot conversations are with retail conversational AI systems in 2023. Additionally, ±40% of U.S. consumers stated that they have used chatbots to engage with the retail industry. And as of 2020, ±54% of consumers had daily AI-enabled interactions with retail organizations.
43 Back Office Automation Examples in '25: 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 ['25]
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.