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Top 7 Technologies Automating the Oil & Gas Industry ['25]
The oil and gas industry (O&G) has always been notoriously slow in adopting new technologies because of regulatory issues, safety measures, and rigid compliance standards.
Top 8 RPA Use Cases in the Aviation Industry in 2025
The aviation sector, as a whole, can gain from the adoption of RPA tools in areas including airport administration, ticket sales, and aircraft navigation. The aviation industry is ripe for automation thanks to the never-ending flow of data that could be turned into actionable insight.
Model Retraining in 2025: Why & How to Retrain ML Models?
Only ~40% ML algorithms are deployed beyond the pilot stage. Such low rate of adoption can be explained with the lack of adaptation to new trends and developments such as economic circumstances, customer habits and unexpected disasters like Covid-19.
![Top 4 Methods of Sentiment Analysis in Retail Industry ['25]](https://research.aimultiple.com/wp-content/uploads/2022/08/Methods-of-Sentiment-Analysis-IN-Retail-Industry-1-190x107.png.webp)
Top 4 Methods of Sentiment Analysis in Retail Industry ['25]
In 2022, the retail industry surpassed $5 trillion for the first time, indicating a continuing desire to buy and consume.However, meeting an increasing number of customers’ needs, and standing out among competitors require great effort. That’s why retail companies have started to automate their processes to benefit from AI-powered methods even more.
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 6 Use Cases of AI in Fashion in 2025
According to McKinsey, generative AI could add up to $275 billion to operating profits in the fashion, apparel, and luxury sectors over the next 5 years.AI in fashion promises creativity and efficiency by transforming unstructured data like text, images, videos into innovative outputs like 3D designs and virtual models.
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.