Analytics & Intelligent Automation

5 min read

The world is seeing an explosion of data growth. There are countless data-generating devices, digitized video and audio content, and embedded devices such as RFID tags and smart vehicles that have become our new global norm. Cisco is experiencing this dramatic shift as more data sources are being ingested into our enterprise platforms and business […]

3 min read

Congratulations to Cisco’s second annual Data Science Award Winners and Finalists! We received over 100 inspiring submissions in 5 categories from teams representing 600+ Cisco employees. We looked at submissions across five categories: Product or Service Innovation, Benefitting Humanity, Customer Experience, Cost Reduction, and Revenue Increase. Narrowing the field down to the best-of-the-best data science […]

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 […]

20 min read

Data Science Applied In Business Today. In the past decade, there has been an explosion in the application of data science outside of academic realms. The use of general, statistical, predictive machine learning models has achieved high success rates across multiple occupations including finance, marketing, sales, and engineering, as well as multiple industries including entertainment, […]

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.