The Alchemist Blog

Helping You Build Intelligent Data Applications

How To Showcase Your App With AlchemyAPI and Watson

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By: Mackenzie Sedlak on April 24, 2015 at 10:45 AM

We are continually amazed by the creative apps built by members of our developer community. At 40,000 strong, we hear about some pretty cool mashups of different APIs. After hours of coding and multiple bouts with trial and error, you must be proud of the application you’ve created. We recognize the hard work and dedication it takes to develop an application, and we want you to shout your success from the rooftops! But where and how can you get your app featured?

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Topics: AlchemyAPI, User Stories, IBM Watson

Code Recipe: Video Annotation with AlchemyAPI Image Tagging

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By: Zach Walchuk on April 23, 2015 at 12:55 PM

I am often asked, "Zach, AlchemyAPI sure does some nifty work with text and images. Can you handle video?"  As confidently as I can, I take a deep breath and calmly reply, "No".

Well ladies and gentlemen (lizards, robots, what have you), today I am tickled to announce my answer has changed! The next time the aforementioned question is lobbed my way, I shall exuberantly proclaim "Not really".

"But in a way...yes."

My hoopy colleagues Nicholas Lineback and Devin Harper (of AlchemyVision fame) have applied their gifted gourds to the challenge, and with some clever Pythoning have created a tool to break down videos frame by frame, using AlchemyAPI image tagging to identify the content within. In an effort to pretty much make your day, these generous souls have agreed to share the product of their hard work with you, our beloved developer community.

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Topics: Computer Vision & Image Recognition, How-To, Application Development

Finding the Images You Want With Image Similarity

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By: Sonya Hansen on April 22, 2015 at 11:45 AM

I was standing in line a few days ago, waiting for the Earl Grey tea I had ordered, when a woman approached me and said, “I know you.” At first I simply stared back, not recognizing her. After a few seconds, it hit me – she had worked with a friend of mine in Denver, many years ago. While slightly embarrassed during the long pause that followed her greeting, I was more fascinated with how those details came back to me. It was a testimony to the brain’s amazing ability to find, compare and associate concepts from the past and present with such speed and accuracy. Nowadays, machine learning applications are attempting to mimic this unique neural capability, with the same speed and accuracy. As someone involved with the technology, I wondered if machine learning could have worked the same way as I did to remember this mutual friend?

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Topics: Computer Vision & Image Recognition

5 Tips on How to Leverage Computer Vision to Improve Your Products

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By: Kelly Taylor on April 21, 2015 at 12:45 PM

Computer vision technology helps your app understand what objects and people are in an image and can recommend similar images.

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Topics: Computer Vision & Image Recognition, How-To

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

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