Edge and fog computing: Cutting through the haze (Part 1)
While the concepts of edge and fog have been around for a while, they are being re-imagined to reshape how government agencies are interacting with citizens and data.
Edge analytics
Why the Fortune 500 is Fast Becoming the Digital 500 – Part 2
Learn how edge analytics can help the Fortune 500 address the rapid pace of technological change and transform them into the Digital 500.
Edge Out the Competition
Pinpoint the business value within the massive amounts of data with Cisco designed Edge Analytics Fabric (EAF).
Taking Analytics to the Edge: Beyond the Network for Intelligent IoT Edge + the Power of Cloud-based Analytics
An holistic experience of the connected condition of things (machines, networks, apps, devices, people, etc.) is now available through the combined power of Cisco and IBM.
Abundance: A Different Way of Thinking about Technology
There are two mindsets in business – one of scarcity and the other of abundance. A scarcity mindset believes much, if not everything, is limited. A business with a scarcity mindset holds everything close to the vest and is uncomfortable or unwilling
Announcing a First of a Kind Technology Combining IBM’s Watson IoT Cognitive Computing and Cisco’s Edge Analytics
There’s never been a better time to blaze new trails with data and analytics.
Insight and Action from Data at the Edge
Data Storytellers: Each month we’ll be highlighting experts and advocates to share their data stories, knowledge, and insights into the future of data and analytics. Subscribe to the RSS feed to get the latest updates. Data is created fast and
Innovation at the Edge: Navigating Distributed Environments and Beyond
I am pleased to share that Cisco’s Connected Streaming Analytics (CSA) is among the 15 leading vendors featured in Forrester’s recent survey on Big Data and Streaming Analytics. Forrester ranks Cisco as a strong performer in the market, noting Cisco
Connect Analytics to Data
Finding and securing data is difficult in hyper-distributed data environments. How to draw insights and enable action based on the data is even more challenging. But data is not the problem – connected data is the problem.