Mike McGill
Prof. Raven
MIS 2502
4/11/21
MIS2502: Data Analytics
Optional Extra Credit Assignment
In the modern business efficiency has become the name of the game. With this big of an emphasis on the importance of maximizing efficiency more and more industries turn to technology to scrape any competitive edge. In MIS 2502 we are beginning to build the foundational tools of using data bases to reduce “redundancy”. On a larger scale in both production and data management businesses are expanding into pairing AI with Big Data to bring efficiency to a near frictionless point. Chemical companies like Solenis, have implemented AI to negate any waste in chemical application. Titans of business like Disney, are using Big Data analytics to predict market movements as if they were privy to tomorrow’s news. AI and Big Data are changing our definition of efficiency, and the companies that wield this power are holding the competitive edge in the modern business.
Artificial intelligence otherwise known as AI is the expansion of automated technology into areas that would normally require human input. AI is capable of predictive calculations as well as sorting data at a rate no longer matched by humans. In 2019 Solenis successfully released OPTIX Applied Intelligence an AI designed on the platform of ProcessMiner, with the goal to better the paper and pulp industry (1). Today, Solenis has seen great success with OPTIX still continuously increasing the product quality while reducing the usage of raw materials as well as water and energy consumption in the mills that bring in Solenis. With the algorithm set to perfection OPTIX makes certain that mills waste no bottom line in subpar batches of product. The predictive capabilities of this technology mean that any chemical input on Solenis’ end is done at the bare minimum needed to achieve success, so there are no wasted inputs of material in production. Beyond the monetary bottom line that the AI implementation of OPTIX will save a company when it comes to efficiently reducing waste, the modern world also has a huge demand for sustainability. Simply said, we live in a world of finite resources and AI ensures that none of those resources go to waste and the industrial process becomes a lot greener.
Big Data refers to every single bit of information that can be inputted and used for the benefit of business. Recently we learned how NoSQL can be used to sort through these inputs to answer specific questions. During our assignments we sorted through a few hundreds of fake inputs and answered trivial questions. Disney on the other hand is sorting their Big Data analytics with an Affective AI. This allows them to accurately gauge the potential consumer appeal of unreleased products at a more precise level than what normal market tests can provide (2).
Big Data and AI are no longer a thing of the future. In fact, companies that steer away from their benefits are falling further and further behind. In the ever-increasing demand for optimization in business, technology is seemingly the only path for a competitive company to stay afloat.
Works Cited
- “OPTIX AI Helps Paper Mill Operations.” Solenis, 22 Feb. 2021,
- “Big Data Behind Disney Magic.” Digital Innovation and Transformation, 13 Nov. 2019,
digital.hbs.edu/platform-digit/submission/big-data-behind-disney-magic/.
