Of the many things that developers need to worry about when attempting to create a successful app, two points rise to the top. First, the app can’t crash, and second, it has to respond to user input quickly. This is easier said than done, however, thanks to a deck that’s stacked against developers. Crittercism spent a month collecting over 1 billion data points and determined which devices, operating systems, and networks best lead to stable – and profitable – apps.
Nielsen, the media-measurement juggernaut, announced that it is opening up its API for the first time. Nielsen made the announcement alongside many other groundbreaking launches and promotions as SXSW continues to heat up. With coverage in more than 100 countries, Nielsen maintains a treasure trove of data that developers have long been eager to get their hands on. With the API release, developers can begin to build applications directly off data that is generated and maintained by Nielsen.
Controlling a local database is vital for collecting tweets and users from the Twitter API. Once this is accomplished, you no longer have to worry about rate limits, API reliability or speed of access. I do most of my work with MySQL, but any server-based database can be used—even a flat file in CSV format is a viable solution for minimal storage needs.
Successful Twitter engagement is generally measured with the simple goal of gaining a high follower count, but true engagement doesn’t end with a follow-back—that is just the beginning. What you really need for success on Twitter is an ongoing conversation with like-minded individuals, folks who will provide informed feedback on your tweets, introduce you to their friends on Twitter who share your opinions and help spread your messages. This series of articles on engagement programming will show you how to use Twitter API 1.1 to move from simply following to truly engaging on Twitter.
Swift IQ belives Machine Learning as a Service (MLaaS) will become a key market in the near future as more providers look to integrate predictive APIs with their customer transaction data. After presenting at the recent API Strategy and Practice Conference, Swift IQ CEO Jason Lobel spoke with ProgrammableWeb about how businesses can use an API-driven approach to improve their “adaptive intelligence”, and shares four techniques that can be tested immediately.
Now with almost two years in operation, custom analytics cloud platform Keen IO believe they have both a strong analytics product for existing customers, and the potential to quickly move into emerging market domains in the years ahead. Their strategy? To win over developers first, and let the developers evangelize back to end customers. The company provides the Keen IO API to help businesses process information by defining each piece of data as an event that can be catalogued and analyzed.
Kiuwan, cloud based software measuring and analysis solution, has announced the Kiuwan API. Through the API, users can continuously monitor the quality of software applications. With increased quality and performance, businesses can increase efficiency and productivity while lowering cost.
As “big data” continues to grow in popularity and intrigue, TaDaweb looks to unlock “the power of small data”; and, its TaDaweb API allows developers to tap into that power within third party applications. What does “small data” mean? To TaDaweb, “small data” means a collection of disparate data that exists across the public web that TaDaweb can bring together and provide some clarity.
Response Tap, leader in voice-centric marketing technology, recently released the Response Tap API. The Response Tap API enables developers to include Response Tap’s number provisioning, call features, and reporting features within third party apps. Response Tap’s proprietary software allows companies to track a caller’s actions on a website before, during, and after a call. Such tracking technology provides better understanding of marketing activities.