AI
Top 5 AI Services to Transform Your Business Operations
AI adoption is on the rise. 98% of companies are experimenting with AI, while 26% are advancing to generate tangible value. Explore 5 types of AI services that can accelerate your business’s AI adoption journey. 1.
Bias in AI: Examples and 6 Ways to Fix it in 2025
Interest in Artificial Intelligence (AI) is increasing as more individuals and businesses witness its benefits in various use cases.
Custom AI: When to Build Your Own Solutions in 2025
Although off-the-shelf AI tools support many enterprise needs, they often fall short in high-impact, data-specific use cases. Businesses operating in complex or niche environments often find that generic AI solutions can’t effectively accommodate their unique workflows or leverage proprietary data.
Manufacturing AI: Top 15 tools & 13 real life use cases ['25]
The industrial manufacturing industry is the top adopter of artificial intelligence, with 93 percent of leaders stating their organizations are at least moderately using AI. Manufacturers are frequently facing different challenges such as unexpected machinery failure or defective product delivery.
Top 15 Logistics AI Use Cases & Examples in 2025
As organizations recover from pandemic disruptions, leveraging AI in logistics operations can strengthen supply chains and deliver significant benefits, such as reducing inventory by almost 30%, logistics costs by 20%, and procurement spend by 15%. Success in logistics AI requires improving processes, simplifying technology, and enhancing team experiences.
Self Supervised Learning: Benefits and Use Cases in 2025
Self supervised learning (SSL), also known as self-supervision, is an emerging solution to the challenge posed by data labeling. By building models autonomously, self supervised learning reduces the cost and time to build machine learning models.
Transfer Learning: 15 Applications to Boost Accuracy [2025]
Training machine learning models is often time-consuming and data-intensive. The training algorithms might not work as intended, training times can take too long, or training data can be problematic.
AI Audit: Guide to faster & more accurate audits in 2025
As AI systems become more complex and widespread, ensuring their accuracy, fairness, and compliance becomes crucial. Businesses should prioritize AI audits to maintain trust, meet regulatory requirements, and avoid unintended consequences that could harm reputation or violate ethical standards.
Explainable AI (XAI) in 2025: Guide to enterprise-ready AI
As AI tools become more advanced, more computations are done in a “black box” that humans can hardly comprehend. This approach is problematic since it prevents transparency, trust and model understanding. After all, people don’t easily trust a machine’s recommendations that they don’t thoroughly understand.
Autonomous Things: Why it Matters, Examples & Pitfalls in 2025
Though self-driving vehicles take the front seat when we talk about autonomous things, autonomous robots, and drones can also make a difference for businesses. These technologies can lead to partial or full automation of tasks involving humans today. Transportation, retail, security, and military are some of the industries with early examples of autonomous things.