Explore Research Studies
5 Unsuitable Processes for RPA in 2025
RPA adoption is rapidly increasing in businesses from different sectors. From banking to automotive, RPA’s potential to automate error-prone, repetitive, and time-consuming tasks can save companies time, money, and human resources that can be spent better elsewhere.
Top 10 AI in Fashion Use Cases & Examples in 2025
Creative bottlenecks, inefficient supply chains, and rising consumer expectations are pushing fashion brands to seek smarter solutions. According to McKinsey, generative AI can offer a path forward by adding up to $275 billion to operating profits in the fashion, apparel, and luxury sectors until 2028.
Sentiment Analysis Stock Market: Sources and Challenges
Making accurate predictions regarding stock prices is challenging as the stock prices move depending on factors like interest rates, corporate governance, investors’ risk aversion, market trends, and firm investments. However, understanding the market psychology with sentiment analysis stock market might give a clue about future stock price movements.
![Sentiment Analysis Methods [2025]: Overview, Pros & Cons](https://research.aimultiple.com/wp-content/uploads/2022/08/Sentiment-Analysis-methods-190x107.png.webp)
Sentiment Analysis Methods [2025]: Overview, Pros & Cons
One-third of customers say they will stop doing business with brands they love after just one bad experience. Thus, understanding how customers feel about products or services is crucial for business success. Companies use sentiment analysis methods to understand customers’ sentiments and improve their products and services accordingly.
Top 4 Speech Recognition Challenges & Solutions in 2025
Speech recognition technology has significantly advanced in areas like generative AI, voice biometrics, customer service, and smart home devices. Despite rapid adoption, implementing this technology still poses various challenges. Here, we outline the top 4 challenges and best practices for overcoming them. 1.
RPA vs. API in 2025: What Are Their Differences?
The abundance of automation technologies in the market today is, perhaps, one of the main catalysts encouraging 89% of companies to adopt a digital-first strategy. However, with so many tools to choose from, users might have difficulty choosing the correct tool for their business or not know how to use multiple tools in tandem.
Multimodal Learning: How It Works & Real-Life Examples
Multimodal AI processes diverse data—audio, visual, and text—to deliver richer insights with greater accuracy. To maximize its value without overcommitting, businesses should assess their needs, data quality, and strategic goals. There are two distinct areas where multimodal learning is applied: machine learning and education.
Healthcare APIs: Top 7 Use Cases & Challenges with Examples
Healthcare APIs can facilitate the healthcare digital transformation and enable new ways for using healthcare data including: [aim_list] [/aim_list] Check out to explore healthcare API use cases and the possible challenges they face in the healthcare industry, with the recommendations for overcoming them.
Top 7 Methods for Audio Sentiment Analysis in 2025
As the number of consumers increases and users’ data accumulates daily, data explosion is no surprise. Companies get help from data collection and analytics to catch up on their sales, customer insights, or brand reputation. However, even though voice data is the most direct feedback businesses receive from customers, they usually overlook its importance.
Top 4 Facial Recognition Challenges & Solutions in 2025
From unlocking your smartphone to catching fugitives, facial recognition technology (FRT) is everywhere. Forecasts suggest that this growth in facial recognition usage and development will only rise in the future. While many businesses successfully leverage the technology, they probably went through various hurdles to develop or implement it.