Explore Research Studies
Sustainable Management Definition & Top 10 Best Practices
In 2025, people are projected to consume 1.8 times more resources than Earth generates annually because our economic outlook is based on production, use, and disposal. According to the Edelman Trust Barometer, around half of individuals think businesses in the U.S. are not doing enough to address innovations such as green energy.
Sentiment Analysis: Steps & Challenges in 2025
Sentiment analysis is growing in popularity as it turns raw, unstructured text data into interpretable insights for business through sentiment analysis. However, tangible use cases for sentiment analysis and the fundamental steps of this method may not be clear.
Top 7 Open Source Sentiment Analysis Tools in 2025
Text analytics is estimated to exceed a global market value of US$ 56 billion by 2029. Sentiment analysis has gained worldwide momentum as one of the text analytics applications. Businesses that have not implemented sentiment analysis may feel an urge to find out the best tools and use cases for benefiting from this technology.
What is Model Drift? Types & 4 Ways to Overcome in 2025
Based on my 2 decades of experience helping enterprises adopt advanced analytics solutions, model drift is the largest reason for production model performance declines. Businesses are able to move only a small share of their AI models to production. And then within 1-2 years, performance of most models deteriorate due to model drift.
Data Labeling for NLP with Real-life Examples in 2025
NLP technology is increasingly being used to enable smart communication between people and their devices. Companies like Google, Amazon, and OpenAI have invested billions in NLP technologies that can understand, interpret, and generate human language with remarkable accuracy. However, behind every sophisticated NLP model lies an important foundation: labeled training data.
How to Scrape X.com (Twitter) with Python and Playwright
We used Python and Playwright to test Twitter (X) data collection methods focusing on most prominent pages: Twitter scraping methodology We have performed all tests without logging in. Our aim is to collect public data.
17 Computer Vision in Healthcare Use Cases & Examples
Even though Hinton, a Turin award recipient, claimed that radiology would be automated by 2021, such accelerated automation hasn’t occurred.However, AI-driven computer vision in healthcare is still expected to increase precision in surgery, medical imaging, and real-time patient monitoring, while enabling faster and more reliable decision-making.
AI Center of Excellence (AI CoE): Meaning & Setup in 2025
The adoption of artificial intelligence (AI) is increasing as companies try to capture value from enterprise AI applications. However, according to an IBM survey, challenges such as limited AI expertise, increasing data complexity, and lack of tools for AI development hinder AI adoption for enterprises. To reduce AI project failures, organizations need a dedicated unit to oversee AI initiatives.
Top 10+ SAP Workload Automation Software & Use Cases
According to the SAP Corporate Fact Sheet, 99 of the top 100 organizations worldwide use SAP for enterprise resource planning (ERP). These customers account for 87% of the total global commerce. It is common for SAP users to use non-SAP systems in parallel for enterprise resource management.
Top 7 Computer Vision Challenges & Solutions in 2025
Computer vision (CV) technology is revolutionizing many industries, including healthcare, retail, automotive, etc. As more companies invest in computer vision solutions, the global market will multiply 9 times by 2026 to $2.4 billion.