Insights on Artificial Intelligence, HR Tech, Predictive Maintenance & Beyond.
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Artificial intelligence, commonly known as “AI,” is a popular buzzword these days. Some of us hear
the term AI and picture of a dystopian future where people lose jobs and control to robots who possess
artificial — and superior — intelligence to human beings. Others are more sanguine about our ability
to control and harness technology to achieve more and greater things.
While it’s impossible to predict how exactly AI technology and capabilities will evolve, the fact of the matter is that AI is no futuristic science fiction; it is here today in many forms and manifestations.
And AI exists in areas you may not necessarily think it does — such as in HR departments where the technology actually helps place people in jobs rather than make them redundant.
— Economic Times: Benefits of AI on employment
Social Media
Social media has some great opportunities for AI today - AI not only identifies and categorizes individual leader and follower behaviors, but analyzes the complex interplay of those behaviors to arrive at a predictable model of social media activity.
This enables marketers to have greater insights to potential customers and to predict their response to new and enhanced products and services.
AI optimizes social media spend by increasing its effectiveness and enabling a much greater visible return on investment for engagements.
November 6, 2017 — This video provides an overview of our Pradjna™ platform.
We explain the high level architecture of Pradjna™ and how it can help assess motor skills of millions of workers.
For example, evaluating drivers without expert involvement becomes a routine, 24×7 process that is objective and impossible to manipulate.
General Predictive Analytics Solution
This video explains how predictive analytics empowers maintenance strategies by forecasting failures
before they occur. Within the MCSA framework, predictive analytics is used to analyze motor current signals
and detect early anomalies, ensuring better decision-making, improved reliability, and reduced downtime.
Motor Current Signature Analysis (MCSA)
Motor Current Signature Analysis (MCSA) is a powerful diagnostic tool that helps identify faults in
induction motors by analyzing current signals. It can detect rotor bar issues, bearing wear, and
electrical imbalances. With AI-driven analytics, MCSA transforms maintenance from reactive to predictive,
reducing downtime and operational costs significantly.
Health Score in MCSA
The Health Score in Motor Current Signature Analysis (MCSA) provides a clear indication of the
condition of electrical machines. By analyzing parameters such as voltage, frequency, load,
and current harmonics, MCSA assigns a score that reflects the overall health of the motor.
This score helps industries detect early signs of electrical and mechanical faults, plan
maintenance proactively, and avoid costly downtime. A high health score indicates reliable
performance, while a low score triggers timely alerts for corrective action.
AI-Powered Motor Fault Detection
AI-based motor fault detection leverages machine learning algorithms to analyze motor performance
data in real-time. By spotting unusual current patterns, thermal variations, and acoustic signals,
AI models can predict failures much earlier than traditional methods, ensuring greater reliability
in industrial operations.
The Future of Smart Factories with AI
Smart factories powered by AI and predictive maintenance are the next evolution of Industry 4.0.
By combining MCSA, CNC analytics, and IoT monitoring, manufacturers gain complete visibility into
operations. This enables autonomous decision-making, minimizes human error, and accelerates production
efficiency — creating a sustainable and intelligent manufacturing ecosystem.
