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How Optymize helped integrate a Business Intelligence system for plants for a client company
Optymize’s Machine Learning Services directed the business of hotel brand towards profitability and efficiency
Partner, Union Innovation
CEO, TC Consulting
With Data Analytics, it is easier to analyze unimaginably large quantities of data to return legible results.
A company can predict what would be the possible sales in upcoming years using previous sales data. Not only does this allow companies to be prepared for growth in demand and increasing revenue, but also avoid losses and wastage.
At present, the majority.of client support or information desks do not actually have a human working behind the screen. Instead, machine learning now allows for taking natural conversation, spoken or typed to be understood and replied to, thereby both increasing efficiency and cutting down on labor costs.
From recognising monochrome images and basic shapes to the usage of facial recognition for security purposes to image classification for search engines. Interestingly, these are the most advanced systems and have an average accuracy rate even greater than that of humans.
At present, the digitization and automation of basic tasks is a standard step for any company as it grows. However, replacing legacy systems manually is a tedious task but machine learning allows for programming of bots to do so based on simple documentation and instructions of current employees.
The process of intensive testing involves continuous iterations with just minor variations. Using programmed bots extensively helps in analyzing reams of data and providing proper feedback.
Connected cars are the in-thing in the automobile industry right now, where predictive mechanisms accurately tell drivers the probable malfunctioning of spare parts, routes and driving directions, emergency and disaster prevention protocols and more.
There are algorithms and systems that aiding in detection and treatment of chronic ailments and with electronic health records in place, artificial intelligence and machine learning systems are only making personalized healthcare a reality today.
The finance sector would rely heavily on the systems powered by these technologies to detect fraudulent transactions and pave way for a safer and more secure online transaction.
From robot-driven assembly lines to intelligent systems that can predict the malfunctioning of machinery, AI would become inevitable for the manufacturing industries.
AI-powered systems would efficiently simulate the campaign with past data in hand and deliver precise results. This would be a game changer in the marketing realm as brands and businesses would have a sure shot avenue to place their money in.
