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Helping You Build Intelligent Data Applications

Cognitive Computing and Financial Services - A Powerful Pair

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By: Melissa Altese on August 26, 2015 at 1:32 PM

As of late, artificial intelligence has grown from a purely technical discussion around APIs and cool apps to a true boardroom consideration. Enterprises from almost every vertical, are leveraging the power of cognitive computing to empower their businesses by automating monotonous work and gaining actionable insight from data. One industry in particular, has embraced artificial intelligence as “the new way forward,” and we have seen a dramatic influx in use cases from this business sector. We are referring to the financial services industry. From personal to commercial use cases, APIs are being outfitted to solve common problems and automate work. Whether your enterprise is in the finance industry or not, your finance operations can be improved using artificial intelligence.

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Topics: Content Discovery & Recommendation, Application Development

Use AlchemyData News Like a Pro: Tip #4

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By: Zach Walchuk on August 25, 2015 at 9:15 AM

Separate Enrichments for Article Title and Body

The AlchemyData News service has a field for every NLP enrichment that we offer. There's a field for the name of entities in an article, a field for the sentiment score of an article, a field for the article taxonomy, and many, many more. Each of these fields can be used in your query or selected for your output.

With all these fields, it can be tricky figuring out which ones will give you the results you are looking for. I'm going to share one distinction that can help narrow down the options.

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Topics: How-To, AlchemyData News

6 Unique Ways to Leverage Deep Learning

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By: AlchemyAPI on August 20, 2015 at 2:55 PM

Real-World Examples to Help You Understand Deep Learning

What is deep learning? How can it help solve unstructured data challenges? And more importantly, how can it help solve my business challenge?

These are all questions that come up frequently. Deep learning is a new area of machine learning that works to improve things like computer vision and natural language processing to solve unstructured data challenges. But that description is often easier said than understood.

To provide context, we’ve highlighted some real-world examples to help you understand deep learning, or explain its benefits to others. Check out the infographic below on Deep Learning - Real World Examples.

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Topics: Deep Learning & Machine Learning, Application Development

Cognitive Insights: Optical Character Recognition (OCR)

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By: AlchemyAPI on August 17, 2015 at 1:55 PM

Last week, our lead AlchemyData engineer, Pawan Lakshmanan, taught us about the AlchemyData News API and how it differs from general news searches. He also went into the potential value it has for product and marketing teams. This week, we are switching our focus to a technology growing in popularity, Optical Character Recognition. What is it? How is it being used?

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Topics: Computer Vision & Image Recognition

The Rise of PhD APIs and the New API Economy

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By: AlchemyAPI on August 14, 2015 at 9:35 AM

How AlchemyAPI is Contributing to the Next Phase of the API Economy

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Topics: AlchemyAPI, Natural Language Processing, Deep Learning & Machine Learning, Application Development

Why Cognitive News is Spreading Like Wildfire

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By: Sonya Hansen on August 12, 2015 at 8:00 AM

When the News API was released back in May of this year, there had only been a handful of Beta customers who had played with and leveraged the app in their application or enterprise. Three months later, the concept of cognitive news is still spreading like wildfire. From understanding general trends about a particular topic in the news, like acquisitions, to looking for signals about your brand, like sentiment, developers from around the world are leveraging the News API.

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Topics: Content Discovery & Recommendation

Trends in Application Development Worth Adding to Your Developer Toolbox

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By: Mackenzie Sedlak on August 11, 2015 at 9:45 AM

At AlchemyAPI, we love big data and data analysis. In case that wasn’t apparent enough from previous blog posts, we wanted to talk about it again, using what we know about the industry to inform application development. Following and understanding trends in application development is a great tool for app developers – helping you prototype and build applications that not only add value, but remain sticky and usable.

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Topics: AlchemyAPI, Big Data Analysis, IBM Watson

Cognitive Insights: AlchemyData News

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By: AlchemyAPI on August 10, 2015 at 11:05 AM

The last installment of our Cognitive Insights series taught us about Question Answering services, including how they eliminate human analysis and answer questions in a similar fashion as a human would. This week, we dive further into our AlchemyData News API, learning how it differentiates from other general news searches and what value it can bring to product and marketing teams.

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Topics: Big Data Analysis, New Features

Teaching Charles: Technological Innovation in Market Research

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By: Brian Rivera on August 7, 2015 at 10:05 AM

The following developer story was written and submitted by developer and Alchemist, Brian Rivera.

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Topics: Content Discovery & Recommendation, Application Development

Cognitive Computing Improves RCA

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By: Jon Boisoneau on August 4, 2015 at 11:25 AM

When I saw IBM’s cognitive computing system, Watson, beat the Jeopardy champions in 2011, I started wondering about the possibilities this exciting new technology could bring to root cause analysis (RCA). I’ve been involved in RCA software development for over a decade and know that the semantics of language can be a hurdle when looking for systemic causes and solutions to problems across an organization. Sometimes people describe the same problem in different ways. That difference is a barrier when looking for incident patterns and trying to learn from past mistakes. Could Watson help bridge the gap? When IBM opened the Watson API to 3rd party developers earlier this year, we decided to find out.

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Topics: User Stories

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