Susan C. Daffron

3 ways to get the most out of the Watson Speech to Text API

May 2, 2017 | AI for the Enterprise, Developers

Watson Speech to Text API converts audio voice into written text. Learn how you can easily add speech transcription capabilities to your applications. You can use it to create voice-controlled applications and customize the model to improve accuracy for the languages and content you care about. Quickly find what’s relevant to your app and business. more

Build unique visual recognition apps with Watson: 4 easy ways to get started

April 28, 2017 | AI for the Enterprise, Developers

You can use the Watson Visual Recognition API service in your apps to understand the contents of images, such as faces. You can even train Watson to recognize specialized image content that relates to a particular industry. Learn more, try demos, and explore links to technical guides and documentation to help you get started. more

Watson Speech-to-Text is paying attention to what people are saying (even when you are not)

April 10, 2017 | AI for the Enterprise, Developers, Watson APIs

After a conference call, have you ever had someone say, “The explanation on that call was great.  Did anyone write it down?” Many conference calls, call center conversations and webinars are recorded for replay, but transcription can help listeners get more from calls. Phone conversations are an often-underutilized source of insights, mostly because the unstructured more

Watson Natural Language Understanding for advanced text analytics

April 6, 2017 | Developers, Watson APIs

Text and other unstructured content from sources like social media posts, articles and blogs is filled with insights that might help your business. The problem is that it’s difficult to parse unstructured text to see trends. For example, are people making positive or negative comments about my product since it was released? You can’t easily quantify more

What’s hot and what’s not in application development

March 8, 2017 | Developers

Wondering what the “next big thing” in application development will be? Unless you happen to have a crystal ball handy, you can’t know for sure exactly what the future holds. But to give us a sense for what to expect, James Governor of Redmonk and Marcus Boone of IBM Watson got together during a webinar and more

Three cognitive APIs that can help drive innovation

March 8, 2017 | AI for the Enterprise, Developers, Watson APIs

According to a recent survey conducted by IBM, 66 percent of organizations would like to create more digital, personalized experiences.1 But doing so isn’t always easy. For companies seeking ways to deepen relationships with individuals without the upfront costs, delays, and staffing challenges associated with conventional methods, cognitive application programming interfaces (APIs) offer a promising more

PubNub BLOCKS: Streaming Data Enhanced with Watson

March 6, 2017 | Developers, Events

If you’ve had to deal with managing streaming data, maybe you’ve heard of PubNub. Now it’s easy to add Watson-powered machine intelligence to those streams with BLOCKS, a feature of the PubNub Data Stream Network (DSN) that makes the network programmable. Using BLOCKS, developers can easily deploy functions on the PubNub network to modify messages more

Three businesses using cognitive technology

February 16, 2017 | AI for the Enterprise

Three creative ways businesses are using cognitive technology Today’s businesses are capitalizing on cognitive capabilities to gain a competitive advantage. A recent IBM report surveyed cognitive adopters, and 58 percent said cognitive computing was an essential element of their organization’s digital transformation. However, not everyone embracing cognitive is entirely sure what it can do for more

Tips to scale your startup

February 15, 2017 | AI for the Enterprise

According to a CB Insights’ study of failed startups, companies typically die around 20 months after their last financing round and after having raised $1.3 million.1 Running out of money is one of the primary causes of business failure. To be successful, a startup business needs to scale quickly, but entrepreneurs must be smart about more