Facebook / Cambridge Analytics, the Equifax data breach, and political email hackings are just a few examples of the misuse of data and data ethics violations that are constantly making headlines. All except your most[…]
Continue reading …
Data Shaming: A Cautionary Tale for the Sales Organization
A large sales organization recently implemented an analytics strategy, with one of their critical metrics being lead conversion. The target number was set and reporting tools were put in place. Each sales team was scored[…]
Continue reading …
Perception Intelligence: Unraveling the Customer Feedback Conundrum
The CEO of a fortune five hundred firm found that the feedback her organization was receiving from top customers was negative. Metrics from their customer satisfaction surveys would indicate the opposite. It turns out, some[…]
Continue reading …
Demystifying Deep Learning
By: Hannah Arnson These days, we frequently hear about “artificial intelligence” (AI), “neural networks,” and “deep learning.” The media presents these techniques as black boxes that can revolutionize, or destroy, society. At Pandata, we use[…]
Continue reading …
The Future of AI: An Insider’s Perspective
More and more of our clients approach us with operational problems that are ripe for machine learning solutions. As such, the data scientists at Pandata spend much of our time maintaining proficiency with the latest[…]
Continue reading …
Much Ado About Data in 2018
As we usher in 2018, organizations are faced with new challenges but also many of the same that come year after year. What we didn’t get to in 2017 still stares us in the face.[…]
Continue reading …
Visualizing the Holidays
It’s been a great year here at Pandata! As we prepare to enjoy holiday family time, we wanted to use data to see who else is celebrating with us. This use case listens to live[…]
Continue reading …
The Economics of Artificial Intelligence
Since the dawn of humankind, we have found ways to create and utilize new tools to assist in our jobs. Spears and arrows made it easier for humans to hunt. Cars and trains have sped[…]
Continue reading …
Identifying Cyber Attacks with Deep Learning
Deep learning and cybersecurity As more critical decisions involve information systems and as software continually envelops the world, the security and integrity of our systems are more important than ever. This is especially true of[…]
Continue reading …
What Makes A Well-Rounded Data Science Team?
Creating a data science team requires painstaking precision. We believe that it should be multifaceted. Not only should it consist of data scientists, with different specializations and disciplines, but it also requires a strong support[…]
Continue reading …