How Machine Learning Enhances The Work of Whole Industries

AI vs. ML

Before looking at machine learning in various industries, we need to take a look at the difference between ML and AI.

Deep learning vs. ML

There is also a “deep learning” aspect to ML. Deep learning is one of many approaches to machine learning. Other approaches include decision tree learning, inductive logic programming, clustering, reinforcement learning, and Bayesian networks, among others.

A helping “iron hand” for the steel industry

For instance, steel manufacturing companies can greatly benefit from AI tools such as ML-based optimization, control systems, and sensors. AI has the great potential and capacity to implement different technologies. In the end, steel production can be done more efficiently and more profitably.

  • Predictive maintenance: Steel manufacturing companies schedule weekly maintenance check-ups. ML can assist in this procedure by predicting a particular machine required maintenance. So instead of the fixed weekly maintenance schedules, an as need-based maintenance plan can be implemented. This is vital for manufacturing companies who have a large quantity of on-site industrial machines.

Applications of ML in pharma and medicine

The healthcare sphere is sitting on the brink of a treasure trove. The more data one has in the realm of healthcare, the more successful it is. ML helps achieve a more precise decision-making process. It also enhances the efficiency of clinical research, trials and newer tools for physicians and insurers.

1 — Disease identification/diagnosis

Disease identification and diagnosis is on the cutting edge of ML research in medicine. ML is actively being used for cancer treatment. According to a 2018 report on Medicines in Development for Cancer: 1,120 medicines and vaccines for cancer are currently in development by America’s biopharmaceutical companies, all of which are in clinical trials or awaiting review by the U.S. Food and Drug Administration (FDA).

2 — Robotic surgeries

Machine learning and AI are literally reshaping the healthcare industry. Doctors apply machine learning by conducting invasive surgeries with the help of robotics. They attest to safer and more efficient conditions of such operations. In fact, some surgeries are done by an “iron hand” without human direct control and achieve a greater level of precision.

Business and marketing adopting ML

General business is also being impacted by the AI invasion. Of the 168 largest companies in the world, as many as 76% are using machine learning technologies to enhance their sales growth strategies, according to an MIT survey.

AI in the media and entertainment industry

After certain breakthroughs in ML, many smart products have made the leap from sci-fi movies to the home. Superhero Ironman’s virtual assistant JARVIS (Just A Rather Very Intelligent System) is echoed in smart assistants such as Alexa and Google Assistant. It may not detain criminals but it can do a range of practical chores via IoT household devices. NVIDIA uses VR technology to create a Holodeck similar to one in the sci-fi series Star Trek.

Conclusion

AI and ML are popping up everywhere. They are seen in education, transportation or in financial services, which could be an article on its own for the next blog. Machine learning systems continue to pave a new road for humanity. Machine learning influences entire industries and will continue to do so.

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