Explore Research Studies
Top 7 Sentiment Analysis Challenges in 2025
Words are the most powerful tools to express our thoughts, opinions, intentions, desires, or preferences. However, the complexity of human languages constitutes a challenge for AI methods that work with natural languages, such as sentiment analysis. Explore sentiment analysis challenges and ways to improve sentiment analysis accuracy: Top 7 challenges in sentiment analysis 1.
5 Key Benefits of MLOps Practices for Businesses in 2025
MLOps is a method based on adapting DevOps practices to machine learning development processes. MLOps is useful in transitioning from running a couple of ML models manually to using ML models in the entire company operation. Overall, MLOps helps you improve delivery time, reduce defects, and make data science more productive.
Top 5 Data Collection Trends for Businesses in 2025
Data collection is becoming a common practice for many businesses. Whether for implementing deep tech or conducting analytics, business leaders are continuously involved in gathering or using data to improve their operations. As people realize the power of harnessing data, the regulations and practices surrounding its collection and use evolve.
20 Test Automation Case Studies Demonstrating Business Impact
QA teams struggle with slow, manual testing, which often results in higher costs, longer development cycles, and customer dissatisfaction. Transitioning to automated QA testing is the top priority in the software testing environment. To help decision-makers assess the impact of test automation, we analyze 20 case studies highlighting real-world transformations.
Compare Top 5 MLOps vs DataOps Differences in 2025
Inspired by DevOps practices, MLOps and DataOps have emerged as critical methodologies for ensuring seamless machine learning and database operations. While both share roots in automation and operational efficiency, the debate around MLOps vs DataOps highlights their distinct roles in IT workflows.
Data Collection for Marketing: 8 Use Cases & Strategies
Marketing teams today face growing pressure to collect data more intelligently and responsibly. As privacy regulations tighten, AI becomes more embedded in campaigns, and customer acquisition costs rise, outdated data collection methods can quickly lead to compliance issues and underperforming strategies.
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.