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On September 25, Chatham University held an Accounting and Information Systems Networking Mixer. At this mixer they had leaders in the area of robotic initiatives, such as, robotic auditing and the use of artificial intelligence. There were three panelist who were, Tom Bartos, Jim Marino, and Dan Desko. Tom Bartos is the CFO of Cognistx, which is an artificial intelligence firm. Jim Mario is a technology manager and Dan Desko is responsible for leading a team of IT audit, security and risk professionals as Schneider Downs.

The event webpage: https://my.chatham.edu/happenings/get_event.cfm?m1=9&y1=2018&d1=25&EventID=22510

At this event the talked about a couple of things from the book. They talked about MIS, artificial intelligence and also some accounting. In the book, MIS, management information systems, extracts data from a database to compile reports, such as sales analyses, inventory-level reports, and financial statements, to help managers make routine decisions. Artificial Intelligence is the science of developing computer systems that can mimic human behavior. Also, at this event the talked a little bit about accounting. In the book, accounting is defined as the process of measuring and summarizing business activities, interpreting financial information, and communicating the results to management and other decisions makers. There are two major fields that accountants work in which are Management and Financial. One thing that connects to this lecture that I have learned from the news is how firms, like Morgan Stanley, are using artificial intelligence to manage clients’ money. They are testing the waters to see how artificial intelligence can help consumers manager their money and plan for retirement.

In the Wall Street Journal article, Artificial Intelligence Faces Age-Old IT Challenge: Data Standardization, it talks about how artificial intelligence has the potential to transform a large company’s information technology infrastructure. Artificial intelligence can do things from automating mundane and repetitive IT tasks to predicting capacity and outages to identifying security. For those AI algorithms to work properly, there needs to be a standardized way of formatting the data that makes up an enterprise’s back-end infrastructure. Bob Friday, the co-founder and chief technology officer at Mist Systems say “AI starts with data, and if the data is lousy, you’re not going to make any great AI.” The data the comes out of various, routers, load balancers and other devices that applications depend on various based on vendors providing the equipment. Enterprises can make the most use if AI if the volumes of data that comes from the various elements within a network are formatted the same way no matter the origin. This connects to the lecture because they too also talked about the data that it takes to make AI better.

Castellanos, S. (2018, October 23). Artificial Intelligence Faces Age-Old IT Challenge: Data

Standardization. Retrieved October 25, 2018, from https://blogs.wsj.com/cio/2018/10/23/artificial-intelligence-faces-age-old-it-challenge-data-standardization/?guid=BL-CIOB-14537&mod=searchresults&page=1&pos=12&dsk=y

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