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Professional Networking

Throughout the semester, I manage to participate in three school-related events. The one was the “Master of Communication & Master of Professional Writing”, prospective students webinar on October 18th, 2018, another was “The faculty technology workshop: Explore Open Educational resources”, on November 13th, 2018 and “The Accounting & Information Systems Networking Mixer”, on September 25th, 2018.
Among the three events mentioned above, the one that most fascinated me and easy to talk and to explain, by relating it to the Business 105 class and activities is the Accounting & Information System Networking Mixer (- Click here for even info.) The reason beyond why I chose that event is because I personally intend to take Management and Information System as a minor in the upcoming semester.
Briefly, the event was focused on topics which include Robotic Accounting, Robotic Auditing, Artificial intelligence & MIS/Technology on how that should benefit to the society based on future goals and interest. The event saw or held by three different speakers in which they were Tom Bartos (CFO of Cognistx), Jim Marino (Technology Manager and Adjunct at Chatham University), Dan Desko (IT Risk Advisor at Schneider).
Tom Bartos - Click here for LinkedIn Page
Jim Marino - Click here for LinkedIn Page
Dan Desko - Click here for LinkedIn Page

The concept emphasized throughout the event were Artificial intelligence issues and strong future benefit and how robotic development information is altering Accounting and Auditing. Artificial Intelligence & Information System Technology has become important factors in nowadays life and Business. In the textbook, the term Artificial Intelligence is best referred to intelligence demonstrated by machine through software programming. They are designed to think like human and impersonate the way they act. The Three most common artificial intelligence most people know are, Siri (Apple Users), Alexa (Amazon) and Tesla (Hi-tech Electric Car). When it comes to AI, the textbook talks more about the Expert system program and the face-recognition technology which are often commercialized in the business environment. As the textbook mentioned audits, a sector in which public accounting firm provides them to examine a company’s financial statement. The robotic development nowadays uses new software tools, to transform a handmade audit process into a more assembly-line process. This new audit practice promises will allow auditors to work at a much higher level.

The Artificial intelligence surely might excel by underlying ethics involved in computational learning considering the fact that a lot of students might as well completely depend on technology in the upcoming years. An article named “Computers successfully trained to identify an animal in photos”, published in the ScienceDaily news webpage, give us insight on the breakthrough of Artificial intelligence. A computer model was developed by UW researchers that capture an accurate and efficient image of wild animals from camera trap photographs. It definitely relates to the lecture by Tom Bratos in which he mentioned that artificial development will is key to help the human mind in performing an unrealistic task.

There are many aspect and reason to focus and develop artificial intelligence especially through management information technology and business as a whole. When it comes to information system and operation; an article by McKinsey Business Technology that talk about of large-scale technological transformation tells us that some companies technological transformation come up short because leaders have a difficult time creating a coherent strategy and it gets confused with digital priorities and the company business objectives. It relates to the lecture because one of the speakers emphasizes the idea that many company and firms especially in the audits area won’t easily accept to change their way of processing their audits. That it will much longer for people to adapt in the robotic way of auditing.


Collins K. (2017). Exploring Business. Boston, MA: FlatWorld

Bender M. (2018, October). The Cornerstone of large-scale Technological Transformation.
 McKinsey Business Technology. Retrieved on December 6, 2018, from https://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/the-cornerstones-of-large-scale-technology-transformation

University of Wyoming. (2018, November 27). Computers successfully trained to identify

animals in photos. ScienceDaily. Retrieved December 7, 2018, from www.sciencedaily.com/releases/2018/11/181127171421.htm

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