DataScience

3 min read

On the surface, reporting, blogging, posting on social media or talking about death by suicide may not seem like a life-saving or life-endangering task. Yet HOW an individual’s death by suicide is reported and discussed can be  a contributing factor to whether the death will be followed by further tragedy and  suicide.

3 min read

Back in the 1950s, when computers were quite the novelty, some researchers were optimistic they could turn their glorified calculator into an intelligent being. Since then, artificial intelligence (AI) has built a remarkably scattered track record: they can outperform doctors at diagnosing cancers, yet can barely talk to us about the weather. The lessons are clear: tasks easy for humans are not necessarily so for machines. Understanding how and why is much more complicated but […]

12 min read

Part 3: Cisco Use Case and Designing Your Own Time Series Problem This is a continuation of the Time Series Analysis Posts. Here, I will detail a Cisco use case utilizing time series analysis and ARIMA from part 1 and part 2 of the blog series. If you have not read those yet, feel free […]

9 min read

This is a continuation of the Time Series Analysis posts. ARIMA stands for Autoregressive Integrated Moving Average. These models aim to describe the correlations in the data with each other. You can use these correlations to predict future values based on past observations and forecast errors.

6 min read

PART 1: Introduction to Time Series At Cisco, our partners and clients want ways to track and monitor their Cisco routers, switches, and other such devices. An important avenue of my work as part of the Customer Experience Data Incubation Team is to help track device utilization over time. One such way to think about […]

3 min read

Is Data Science a universal prerequisite for AI initiatives? Cisco's Chief Data Evangelist, Jennifer Redmon, proposes AI and Data Science can and should be pursued simultaneously based on a common foundation.

3 min read

What role does culture play in the achievement of Data Science and AI-driven transformation and innovation? Cisco's Chief Data Evangelist, Jennifer Redmon, proposes that mindset, and ultimately, culture, are a critical foundation.

2 min read

Cisco's Chief Data Evangelist, Jennifer Redmon, discusses the pros and cons of hiring vs. training data scientists within the context of different business models.

4 min read

What is data evangelism's role in the enterprise? Cisco's Chief Data Evangelist shares her data-driven approach to bolster a data intelligent and data enabled enterprise.