Today, Dr. Pelaez presented a speech on how companies are using analytics to transform their organization to students and faculty at the University of Puerto Rico, Rio Piedras. He spoke about the exciting field the students were entering, and provided the students with a glimpse of what their promising future holds. The talk, lasting over an hour and a half, highlighted the necessary skills companies require for students to land quality high paying jobs in analytics. Continue reading Dr. Alex Pelaez Presents to Students at UPR
Category Archives: Insights
Big Data Could Sway The Presidential Election
As we head into the heat of the 2016 Presidential Campaign, the rhetoric will surely increase, but the outcome may ride on the backs of the mathematicians, statisticians, data scientists and computer scientists who will work to collect, churn and convey information to their respective campaigns in order to give their candidate an edge. A number of companies that specialize in analytics will be working tirelessly with data to find voters that can carry the day. Continue reading Big Data Could Sway The Presidential Election
Analytics Can Help Puerto Rico’s Economy
The global importance of analytics cannot be understated, but, there are many local groups and organizations that are always looking for a better understanding of how basic analytics can help their organization. Within our own backyard, Puerto Rico, stands as a pearl of opportunity for analytics implementation and talent.
Microsoft Announces R Open and Makes R-Server Free Through Dreamspark
In what could possibly be a major impact to the analytics software industry, Microsoft recently announced a series of products, renaming the Revolution Analytics products, Microsoft R Server. The branding changes the Revolution Analytics brand products to Microsoft R Server and includes the following: Continue reading Microsoft Announces R Open and Makes R-Server Free Through Dreamspark
Challenges for Data Science Organizations
Its easy for large companies to spend large budget dollars on multi million dollar data initiatives, thereby taking risks that could yield significant rewards. Small to medium size companies dont always have the luxury of a large budget to build their analytics group or solution, and in many cases dont have the time, or patience, to wait for a solution to yield results. Large companies, while having the luxury of a budget, suffer from inertia, sometimes preventing progress.