The Alchemist Blog

Helping You Build Intelligent Data Applications

Teach Your Apps to See With Computer Vision

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By: Melissa Altese on April 20, 2015 at 2:25 PM

Before starting at AlchemyAPI, I naturally associated computer vision with HAL 9000 or the super-computer, ARIIA, from the movie “Eagle Eye”. Both of these fictional super-computers, among others, have painted a rather negative image of computer vision in recent years. However, these futuristic representations of AI and image recognition couldn't be further from the truth.

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Topics: Computer Vision & Image Recognition

Newsly Provides Great Content Recommendations, Not Aggravation

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By: Sonya Hansen on April 16, 2015 at 2:05 PM

Most news recommendation services pick up on your preferences by using social relevance data from social media platforms like Facebook and Twitter. However, that approach just isn’t good enough for Davit Buniatyan, Karen Hambardzumyan and Tigran Galstyan. Aggravated by the limited capabilities of current aggregation/recommendation services, they created Newsly, a preference-driven news content recommendation website that incorporates natural language processing services.

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Topics: User Stories

3 Hacks That Move the Innovation Needle Using IBM Watson

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By: Salil Ahuja on April 15, 2015 at 1:38 PM

What do you get when you grab a bunch of techies and throw them in a room with some of the industry’s top cognitive code? It turns out, some impressive new takes on Watson services. This week as we explore the world of Hackathons, we have seen a stream of new ideas and projects using Watson Services. In fact, we are so impressed, we’ve chosen to feature the top three apps from BoilerMake 2014 at Purdue University, Developer Week 2015 in San Francisco and the Global Entrepreneur Summit in Kharagpur, India.

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Topics: Hackathons, IBM Watson

4 Ways Smarter Image Tagging Helps Your Enterprise

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By: Mackenzie Sedlak on April 14, 2015 at 11:02 AM

Every image posted on the Web holds information you can use to better understand your customers, your competition and your company. The utility hidden within the fire hose of social conversation and the power of text mining, as an effective technique to extract business value, has been repeatedly proven. It naturally follows that machine learning algorithms are being developed to retrieve, tag and classify the increasing volume of photos flowing through the Web. Despite speculation that only those businesses in publishing, advertising and ecommerce can benefit, all enterprises can take advantage of this technology.

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Topics: Computer Vision & Image Recognition

Why Organizations Should Not Ignore Unstructured Data

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By: Melissa Altese on April 10, 2015 at 12:00 PM

Back in 1982, author John Naisbitt released his New York Times Bestseller “Megatrends” - a book that sought to predict how technology, business and politics, among other things, would change in the coming years. Many of his predictions were strikingly true, but one of his quotes that resonated with readers was, “We are drowning in information but starved for knowledge.” These words could not be more true today.

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Topics: Big Data Analysis

What Tech Execs Should Know About Gen D and the New Era of Analytics

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By: Mackenzie Sedlak on April 9, 2015 at 12:04 PM

"D" Is For Data.

As breakthroughs in data and analytics continue to surface, questions and skepticism surrounding a new era of cognitive computing are quickly multiplying. Questions such as, “Are business enterprises ready to embrace such advancements?” and “How will this new era of data and analytics impact my industry?” are common among enterprise leaders. According to the IBM Center for Applied Insights (IBMCAI), there is a new class of enterprises approaching these advancements with open arms. They are driven by analytics, powered by cloud, and ready for change: “Generation D”.

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Topics: Big Data Analysis

What Tech Leaders Should Consider When Choosing a Deep Learning Solution

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By: Melissa Altese on April 7, 2015 at 11:41 AM

With the rise of smart phones and portable web devices, the internet is at our fingertips 24/7. As a result, internet traffic has skyrocketed and is projected to surpass 1 zettabyte of data in the next year alone. To put it into perspective, the largest iPhone 6 on the market holds 128GB of data. You would need more iPhones than people in the world (close to 8 billion) to store 1 zettabyte of data. And of that zettabyte of traffic, over 80% of it is unstructured, or in the form of news articles, emails, tweets, etc. There is a growing business need to understand unstructured data and extract and transform it in real-time to drive informed decisions and predict buyer behavior.

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Code Recipe: NLP Enriched Product Reviews

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By: Zach Walchuk on April 2, 2015 at 1:14 PM

The number one request I get from developers in our community is for more code samples. Last week, I shared with you some sample applications built by AlchemyAPI users. Today, I will be sharing with you a simple code recipe for applying some of our language tools to consumer product reviews. This recipe is a bare-bones Python script that searches the Best Buy Reviews API, extracts sentiment, keywords, entities, and concepts using AlchemyAPI, and finally writes everything to a few CSV files. Please give it a try, take it apart, add new features, and give us your feedback!

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Topics: How-To, Application Development

What Tech Leaders Should Know About Creating Smart Apps With Machine Learning

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By: Elliot Turner on March 31, 2015 at 5:16 PM

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Topics: Deep Learning & Machine Learning, How-To

APIs and Libraries: Web Application Building Blocks

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By: Zach Walchuk on March 27, 2015 at 11:03 AM

Considering I grew up to become an engineer, it probably comes as no suprise that when I was younger the biggest highlight of every birthday was a new LEGO set. Each set gave me new pieces for my collection, and with every new piece came the possibility to build something entirely different. By the time I moved on to more durable construction methods, I knew how to work with gears, pulleys, belt drives, drive trains, and of course, spring-loaded exploding walls.

Like building with LEGOs, putting together a web application is a matter of combining the right pieces in the right configuration. Once you have established the overall purpose of your application, try to break it down into functional units. If you can find an API or library for each function, then all you have to do is figure out what you need to connect the pieces. This allows you, the developer, to focus solely on building something no one has built before.

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Topics: User Stories, Application Development

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