As of late, the capabilities and popularity of web APIs are growing at an exponential rate. APIs have become an important tool for developers, but they’re also making their presence known in a variety of industries. As such, we want to equip developers and product managers alike with the ultimate guide for creating smart apps. For the foreseeable future, we are hosting a bi-weekly technical web series, Alchemist Hour, to explore and explain our APIs; we want to get you up close and personal with the technology. The series kicked off with the premier session, AlchemyAPI - An Overview, which covered the basics for getting started with AlchemyAPI.
As you know, recently we announced our latest product, AlchemyData News, at the World of Watson Conference in New York. With just a simple query, the News API provides developers with news and blog content enriched with NLP, with the option to return results for taxonomy, sentiment, entities, relations, keywords and domains. There are tremendous possibilities with this API, as it gives developers access to over 75,000 different news sources, 250,000 (or more) new articles each day and the option to access historical data that dates back 60 days.
Topics: New Features
Last week, I spent two longs days in Brooklyn with over a hundred developers. I watched as ambitious ideas brought together teams and teams pulled together incredible applications. The hurried hackers moved from bean bags to crowded tables to the stage as they refined, redefined, and designed their solutions, incorporating the artificial intelligence technologies available on the Watson Developer Cloud. By ten o'clock Tuesday night, thirty-five teams had finished presenting the products of their ideation, and you could color me impressed.
Every company invests time and money developing rich content intended to show their audiences how much they know and why they are a better choice than their competitors. However, measuring the effectiveness of a piece of content, shared across various social channels, can be challenging.
A while back, I wrote about how applications can be built using APIs and libraries as building blocks. Until recently, the services provided by AlchemyAPI required a number of supporting pieces to create a complete application. With the launch of the AlchemyData News API, many of those components are now handled for you. Content procurement, natural language processing, and data storage are taken care of on our side, so you can focus your efforts on building killer apps!
In order to help you get started, I have put together a sample application that you can use as a template. By combining front-end tools with a very basic back-end script, you can build a quality web app with minimal code.
What could you do if searching and using signals from the world's news and blogs were as easy as writing a few lines of code? How could your product or business intelligence benefit?
When people think of artificial intelligence technology, they react in either one of two ways. Either they have high aspirations for using the technology for means that are still being developed, like robots. Or, they are mislead into thinking there are only a few uses for the technology. The truth is, this advanced technology falls somewhere in the middle. There are many, some complex, ways AI can be used to enhance business performance. At AlchemyAPI, we are passionate about making it easy to understand and act on the oceans of web pages, documents, tweets, chats, emails, photos and videos produced every second. To do this, AlchemyAPI combines years of expertise in machine learning with engineering a robust and massively scalable processing infrastructure to give you simple and inexpensive access to the most advanced text and image analytics available. Our high-performance REST APIs let anyone with a little programming skill create applications that route corporate communications based on their content, trend niche topics across millions of news sites and blogs, extract customer needs from social media posts or make real-time recommendations matching your user’s intent.
Years ago, I was tasked with building a web app that monitored the news for keywords to help marketers and public relations professionals manage their brand. To get a prototype up and running, we had our SysAdmin (back before DevOps) stand up some servers, get Solr running and went back and forth on a contract between our legal department and a news data provider. This process took several months and thousands of dollars just to get a basic keyword search prototype going. There should’ve been a better way to solve this challenge.
A recent study of 55,000 consumers across 15 markets found that willingness to buy, recommend, work for and invest in a company is driven 60% by reputation. A great deal of that reputation is built and sustained online. However, due to high data volume, ambiguity, disparate data formats and timeliness of data, pinpointing actionable information in the data extracted from social media channels is difficult. For many enterprises, automation is the only feasible route to take.