Each newsletter a faculty member shares a relevant article, dashboard, visualization or video. This newsletter's faculty pick is Dr. Patrick McDonald, Lecturer in the Higher Education Administration Department.
We are awash in data and it is everywhere. Full stop.
While in the past, companies and organizations might not have data on hand to analyze, now, it sometimes seems like we are drowning in it. This makes effective reporting and analysis all the more important. But once we have our hands on the data and analyze it, how do we push it out to our audience for them to consume it? What makes for a great data visualization? There are certainly a number of principles one should consider when designing a great visualization. They range from choosing the right dashboard (strategic, operational, tactical, etc.), to the right type of chart (line, bar, scatterplot, etc.), to providing context, consistency, and interactivity. The list goes on and on.
The most important principle in my opinion? Always remember who your audience is.
Many times individuals who develop dashboards lose thought of who they are developing the visualization for. Developers can sometimes get too focused on wanting to make the visualization, whether it be a dashboard, an infographic, etc., overly complicated and flashy to the extent it diminishes the effectiveness of the visualization. Visualizations should be kept as simple as possible and tailored to the audience.With that said that also does not mean that we should throw creativity and aesthetics out the window. We should always be looking to strike the delicate balance between function and form.
DALL·E 2 is a new AI system that can create realistic images and art from a description in natural language.
Open AI introduced DALL-E in 2021. An AI system that could generate images from text. in 2022 DALL-E-2 was released which produces images that are higher resolution, and has new capabilities like inpainting and the ability to create variations on an input image.
DALL-E-2 is not publicly available on the Open AP API but you can join their waitlist using the button below.
Julia is a Business intelligence reporting analyst for Partners Federal Credit Union. Where she uses SQL, Tableau, SSRS, and excel to creates dashboards and reports which allows the business to make informed decisions.
Career Summary: My career started within PACM with my internship with the Walt Disney company. After my internship ended I returned to Buffalo to finish my masters. I then went to Merchants Insurance company as a data analyst. After that I returned to the Walt Disney company to work as a business intelligence analyst for their credit union (Partners).
Proudest Accomplishment: Finding a career that I love. Being able to go to work each day and enjoying what you do. Being a data analyst gives me a lot of fulfillment and flexibility.
How did your experience in PACM help you find your first job?: I would say the SAS classes were a huge help as my internship utilized SAS. The Markov chains class gave me a wonderful project to reference when I was interviewing. Any of the regression classes, I used regression techniques in multiple projects. The business classes I took also prepared me for the professional side of my career. How to interview, resume building and the importance of networking.
What was your favorite part of program?: The people I met and the skills I learned along the way.
DSA and PACM alumni, if you are interested in sharing information for a profile please complete this survey.
Blake Lemoine, a senior software engineer in Google’s Responsible A.I. organization, thinks that Google’s artificially intelligent chatbot generator is sentient, Google disagrees. "It doesn’t matter whether they have a brain made of meat in their head. Or if they have a billion lines of code. I talk to them. And I hear what they have to say, and that is how I decide what is and isn’t a person.” is what Lemoine had to say about the AI.
Lemoine is currently on leave for violating Google’s confidentiality policy. Read the whole article from the Washington Post.
On June 21st Microsoft said that they plan to remove facial analysis features that can identify a person's age, gender. and emotional state to ensure that they will not be used in harmful ways. Microsoft had developed a “Responsible AI Standard” and has decided to phase out usage of this software to the general public to ensure that people do not misuse these tools.
Read the whole article from the New York Times.
Buffalo State Data Talk
Check out the most recent episode of Buffalo State Data Talk. Episode 20: Data insights and action, an interview with Sunita Menon a Global Data Ambassador for a Top Professional Services Firm
In this episode Sunita Menon, a Global Data Ambassador for a top professional Services Firm, talks about the importance of remembering the goal of gaining insights from data is to take action.