How are AI and ML changing the industry?
AI in manufacturing and IOT tools tell CNC machines what to produce, when, and how much to produce. This has increased the efficiency and utilization of machines, labour, etc. The production line has become smooth without surprises as supply and demand are met with ERP and IOT. As this decision information is passed to different touchpoints, that will do the same. Define standard templates, and the rest will be done automatically. Hardware and its preventive maintenance are monitored, and AI maintenance, issues and data centre maintenance are covered.
AI and ML are changing how we buy goods, make sales, rent or sell houses, etc. Even dating apps help many find the right partners. AI and ML control Amazon book recommendations, Google suggests the right information or promotes ads, etc. The job market is shrinking. Technical tools have replaced many routine tasks.
AI and ML have improved the lives of online shoppers with the right messages, additional information about additional products, etc. ML now automatically learns user models and suggests what to buy. These tools have helped many online e-commerce companies target products to the right group of customers and learn more about their shopping habits, when and where they can shop, etc.
Based on your “social” credit history, few companies help you get loans or ensure you get housing, etc. (Ant Financials)
Artificial intelligence tools have also changed the agricultural sector. Activities that are too sensitive to difficult to sit and analyze data have now been simplified. We can directly measure and track crop yields, productivity, soil fertility, and nutrient deficiencies. Many agrotech companies rely on AI and machine learning to feed data into an algorithm and see what happens.
How is our privacy violated to make it simple?
In the past, we used to hail a taxi from the side of the road or call taxi companies to order a cab. Now we use apps and no longer hang around on the sidelines. UBER, Ola, and GoJek have changed the need to own a car and pay for service. The savings are huge, considering the savings in vehicle maintenance costs, insurance, parking fees, etc. This has reduced traffic on the road and blockages during peak hours, saving millions of dollars on fuel.
Google is releasing the self-driving car economy. AI-supervised learning helps control vehicle movement; this is the environment, nearby cars or any other vehicles, etc. This helps to protect passengers and other surrounding property. UBER is already talking about buying these vehicles for its fleets and developing its own self-driving cars.
Airbnb and Oyo have upgraded their hotel experience while lowering prices. OYO has changed how end users experience the hotel by raising the standard of rooms and services. The guest is guaranteed to receive the same service in several hotels. Today, clients need to check the hotel name, its authenticity, etc. The client matches if the hotel meets the OYO requirements or not. This guarantees the quality and the minimum standard of services.
Lots of big companies own nothing but control most of our lives.
1. Uber, Ola
A car service company that has integrated distributed taxis.
2. AirBnB and Oyo
Helped integrate small hotels and improve customer experience.
3. Google
Search engine and advertising
4. Amazon Web Services, Microsoft Azure, Google Cloud
Provides the infrastructure to manage and run applications at a fraction of the initial cost of purchasing a server.
So what’s going on here?
Many IT jobs are already suffering. Development tools reduce the number of developers needed, and tools like Selenium replace manual testing. We have created tools that reduce web application testing time by 80%.
But a side effect is that many have lost their jobs and income opportunities.
How does machine learning work?
If you see the above business, they don’t own any properties, but they control the activity by using AI and machine learning to feed information into the application. One of the ways ML works is that it needs a huge amount of transactional data to parse and get patterns and learn from them.
To make a machine learning algorithm work, it needs a lot of data and feedback to create patterns, test, learn, and deploy new ones. Many healthcare startups use AI and machine learning to scan digitized reports that feed data into AI and recreate models for analysis.
Most ERPs are transactional. Thanks to artificial intelligence and machine learning, the manufacturing industry is changing. There is an opportunity to integrate AI and IOT with conventional ERP, which can be a powerful tool for a business owner.
We have developed the AcTouch.com cloud solution where the customer can use the product, and we manage all software updates and regular database backups and ensure that it works without problems.
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