26341 APIs Aren't Enough
25386 Thank you . . .
20216 Monopoly Goes Cashless
19796 Nissan Leaf's Naked APIs
18971 Yes, APIs Are That Big
18376 Modernize SOA with APIs
18321 Go Small or Go Home
17001 Apigee Edge Microgateway
15766 Microservices at Amazon
14936 API Management isn't SOA
14801 Why Telstra Loves APIs
14786 Why Web APIs Won
13721 Swagger's Future
13576 Demo: Apigee Edge
12506 API Mistakes to Avoid
12426 In Search of CDOs
11956 store locator webcast
12196 The API Facade: Overview
11681 Managing Big Data
12026 Data Analytics & APIs
12206 The Anatomy of Apps
by Arvind Jain Jun 17, 2015
Many of our cloud customers choose the API-DN (delivery network) deployment option when they deploy Apigee Edge software infrastructure across multiple regional data centers (Virginia, Oregon, Ireland, Singapore, Tokyo... Read more
Customers who have chosen the API-DN (delivery network) option for Edge in our cloud can take advantage of a new feature. You can now see a breakdown of API traffic behavior within each of those regions.
by Anurag and Alan Mar 23, 2015
There are many pitfalls a company can run into when applying predictive analytics to its business. We frequently speak with customers who use predictive analytics for the purposes of outreach (via email, push... Read more
We frequently speak with customers who use predictive analytics for the purposes of outreach (via email, push notifications, and voice calls), and recommendations (as in product recommendations), and we consistently see companies stumble because they attempt to solve the “wrong” business problem.
by Abhi Rele Mar 18, 2015
In the last few years, the rules of customer engagement have changed completely. This is due, in part, to the fact that customers can engage with brands in an unprecedented number of ways on a dizzying array of... Read more
For companies to remain relevant and competitive in this age of hyper-connectivity, a deep understanding of individual customer journeys—that is, the sequence of all interactions across a wide range of channels—will be a baseline necessity for predicting and satisfying individual needs.
by Yong Kim Mar 17, 2015
Here are some actual quotes we came across recently regarding predictive analytics on big data: “World’s easiest data mining and predictive analytics software for analysts of all skill levels.” “... Read more
There'a a trend in the big data space to make predictive analytics simpler and accessible to non-data scientists. But despite the myriad “easy to use” tools that are out there, many retailers, health care providers, and technology partners still face challenges to understand, predict, and take action in a practical way.
by Yong Kim Feb 27, 2015
I just successfully built my first event sequence-based predictive model! Here’s why I consider this a big deal. I started my professional journey in predictive analytics in 2000 (right after helping Bank of... Read more
Efficiently leveraging event sequence patterns requires a process that can create not only a graph data structure of millions of events, but also an efficient algorithm that can query and find patterns that exist across this high dimensional, sparsely populated space.
by Olaf Domis Feb 04, 2015
Machine learning, big data, and API technologies have drastically reduced the complexity of building context-aware apps. But all these advances also mean that these apps require a new approach to system architecture. In... Read more
In this webcast, Apigee's Greg Brail and Alan Ho discuss new architectural styels for building context-aware apps.
by Sridar Rajesh Jan 29, 2015
Every experience we have with our customers is a learning experience; we benefit and learn, and, in turn, fine tune our offerings. In the first post in this series, we examined a recent customer security breach, how... Read more
Every experience we have with our customers is a learning experience; we benefit and learn, and, in turn, fine tune our offerings. In this post, we’ll take a look at how we prepare for and handle high-volume customer events, the kind that are particularly common among retailers during the holiday shopping season.