Machine Learning & Artificial Intelligence
Transformative Technology Delivering Results
Artificial Intelligence (AI) and Machine Learning (ML) are arguably the next set of transformative technologies in the tech sector, in part because of their broad applicability across diverse applications and use cases, including:
- Streamline business data and forecasting
- Narrowing your target demographic
- Enhancing customer support
- Efficiently monitoring personal health
- Eliminate need for human monitoring
- Data Management and classification
- Network Optimization
- Digital/data Security
- Customer experience optimization
- Workforce utilization and optimization
But, what exactly is AI and ML, and how do they differ?
AI is the overarching discipline that covers anything related to making machines smart. Whether it’s a robot, a refrigerator, a car, or a software application, if you are making them smart, then it’s AI. ML is commonly used alongside AI but they are not the same thing. ML is a subset of AI. ML refers to systems that can learn by themselves. Systems that get smarter and smarter over time without human intervention.
In other words, AI, as we know it today, is symbolized with Human-AI interaction gadgets by Google Home, Siri, and Alexa, and by the ML powered video prediction systems that power Netflix, Amazon, and YouTube. These technological advancements are progressively becoming essential in our daily lives. They are intelligent assistants that enhance our abilities as humans and professionals — making us more and more productive.