Instructor: Aleksi Aaltonen, Section 002

Terry L Hurst

Lenovo’s Smart Display Inspires Google to Launch Similar Product

Lenovo is releasing a new UK product in October that is integrated with the Google Assistant voice activated technology, and it is making big waves within the gadget community. This sleek new device offers all the same functionality as Google’s line of voice activated products, but offers a colorful screen display in addition to audio. This, it turns out, is what people really want and it is stirring up a lot of excitement. This new product unveil has inspired Google to create their own version called the Google Home Hub. This will also be released in October and will give tech enthusiasts a tough choice when deciding what their new premier voice technology investment will be. Although both devices use the Google Assistant, Lenovo’s offering is much more expensive than Google’s.

This is an example of disruptive innovation. Lenovo is a new entrant that created a new product, but unlike normal situations, they chose to try to capture the high end of the market with a premium product meant for undershot customers. Google, the incumbent, is releasing a product to combat Lenovo’s. However, they are continuing along the path of sustaining innovation by gradually attempting to increase the performance of their products to capture undershot customers. They already offer lower end Google Assistant technologies for the overshot customers, so they have quite the opportunity to expand their market share with a reliable yet cheaper option to the high performing Lenovo Smart Display. Only time will tell who comes out on top, but the competition within the AI technology world is growing steadily. Will there be a new company we never heard of with most of the market share by 2050? Will voice technology be replaced by something more advanced by 2050? “Hey Google,” give me the answers!

Google+ is Shutting Down After Data Breach

When people think of Google as a company, they don’t always think of their social network platform Google+. However, Google+ has recently brought itself into the headlines by compromising the personal data of over a half million users from 2015 till the present. Google first learned about the incident in March as part of an audit process called “Project Strobe.” During this process, Google took a closer look at the interfaces between 3rd party applications and Google+ and found that data marked private by the user could still be accessed by the software developer. The API bug was not disclosed to the public at the time it was discovered because Google did not want to introduce more regulatory demands onto the social media industry.

In our course, we study the integration of systems into a business and how they could either be a source of cash or a tax. In the case of Google, where IT is the business itself, the integrity and controls of their IT framework must be high priority and highly sound to continue to run their business efficiently. Though when Google allows their IT framework to compromise personal information to other untrusted companies, it becomes not only a source of capital but a source of ethical responsibility. Should Google have released the bug information as soon as it was discovered to increase user confidence? Probably, but they should also make the IT process of securing data more highly weighted in their organization if they continue to profit off user engagement. Google+ has been shut down permanently because of the problem, but this solution may be too late for those with their information given up.

Machine Learning Forecasted to Predict Human Cell Organization

Scientists have been able to leverage technology to advance the current methods of viewing human cells. Historically, they have used a process known as fluorescent microscopy. This process does not allow a full comprehensive view of the cell, and does not provide the scientist with the full benefit of watching the proteins interact in real time. The addition of machine learning technology has large impacts throughout the health field. The algorithm can be used to view the behavior of cancerous cells, and pinpoint what goes wrong in the cells before they become diseased. This modeling technology is huge for the development of drugs, and can even help scientists to grow real organs from human cells in a lab.

Technology is proving to be very valuable to the advancement of the entire medical field. Every year, life expectancy goes up thanks to the development of new cutting edge machines that aid doctors all the way from diagnosis through treatment. Scientists are even speaking about applying this new algorithm to old data that has been gathered from cancerous cells. Over time, learning from the models will help scientists predict diseases earlier to their inception. Information systems used in this capacity do not only improve efficiency, but save lives. One day, we may see a doctors that are not traditionally trained in medicine, but more as analysts and technicians of medical technology.