Information Systems Integration – Messina

Anthony C Mignona

Cancer Detection with Deep Learning

Scientists are beginning to use an Google deep learning AI to detect breast cancer. Deep learning is a branch of AI that utilizing neural networks to identify data patterns to then reach conclusions (gross oversimplification). Google “radiology assistant”, Lymph Node Assist (Lyna), can detect cancer by analyzing diagnostic radiology exams (CT, CAT, MRI, MRA etc) and recognizing cancer-like patterns within these scans. LYNA accurately detected cancer 99 percent of the time, even successfully detecting cancer on samples with minute traces of these cancer patterns. LYNA and deep learning technologies are proving to make work easier, more accurate and quicker in the medicine industry. What other applications of deep learning could affect other industries?


Deep Learning



Emerging Technologies – Wearable Exoskeleton

Hype Cycle click here for full size image.

Every year Gartner produces an annual report outlining their “Hype Cycle for Emerging Technologies”. This report and graph shows how promising a technology is expected to be, as well as when we can expect this technology to come to fruition and reach consumers. This graph lists 35 technologies that Gartner believes are of most interest. These annual graphs illustrate a story about each technology that I believe is extremely beneficial for quick analysis. One the more immediately noticeable and interesting technologies is the human exoskeleton, which essentially is a electronically-powered wearable suit that individuals would be able to wear to assists with movement. Gartner expects this technology to be in it’s infancy stage, expecting more than 10 years until it reaches the wider consumer market. The machine suits consists of motors and hydraulics. The potential benefits that could be yielded from such technologies is vast. Positive possibilities such as assisting disabled and elderly people with their daily lives and tasks. However, I wonder if there could be negative consequences to producing powered suits that could increase the strength and endurance of the wearer. I would like to invite others to comment on how this tech could negatively (or positively) affect the world.





Technology and Organizations

The intricacies of implementing an IT structure within an organization are complex and riddled with inevitable challenges; however, if able to overcome these obstacles, successfully leveraging IT can prove to optimize efficiency, improve communications, and overall production within the organization. The demand for IT-enabled organizations grows as the technology advances.  This article illustrates how an IT structure can be realized, and what considerations need to be taken to manage this infrastructure.

Some considerations:

  1. Centralized vs Decentralized IT Structures – Are responsibilities delegated? What problems might arise in a decentralized IT structure?
  2. Internal vs Outsourced IT staff – Is it cost-effective to outsource these roles? Consider the advantages and disadvantages.

Across all industries, technology seems to be beneficial for optimizing operations, even in organizations that might not realize the potential benefits. Consider the initial skepticism of technology’s role in an organization like Cirque Du Soleil. Think of an organization or industry, if any, that couldn’t benefit from technology.