Chatbots offer a useful way to leverage the power of AI, and are now accessible for any size of application. The back-and-forth written nature of chatting is conducive to utilizing existing chatbot frameworks and AI models to automate interactions which would have required a whole team of agents just a short time ago. To demonstrate how easy it is, we’ll use a chatbot framework and a sentiment analysis model from the Serverless AI Cloud — both of which have free trial tiers.
Let’s create one now! It only takes a few minutes, and it’s free to get started. Read More…
Location: Javits Center in New York City
Date: September 26-28, 2017
The theme of Strata is “turning data into advantage”—here at Algorithmia, we help your team get the models from your data science efforts into production. Our team will be available to talk through the challenges you’re facing in productionizing your models or finding the right models from our marketplace to meet your project’s needs. Whatever your questions are, we’re here to help.
- Meet us at the Algorithmia Booth #P33
- We’ll be giving away Algorithmia swag—so stop by and say hi.
- Get 20% off your conference pass by entering the Algorithmia20 discount code at the registration
This is easy to understand, right?
How about this? A bit harder?
Are you able to decipher this one at all?
courtesy of Faris Algosaibi
The first example can be easily recognized by most character recognition algorithms. However, as your text gets progressively more complex, this seemingly simple task becomes more and more difficult for even the best machine learning algorithms to successfully complete. Read More…
When you share your carefully-curated content on social media, you want to ensure it reaches as much of your audience as possible. One important part of this process is picking an amazing image to include in that post. That’s why we created the Social Media Image Recommender, an algorithm which looks through your article’s text and images, and tells you which picture you should use when sharing your post on Facebook, Twitter, LinkedIn, or any other social network. As a bonus, it also smart-resizes your image to the correct size for social sharing, keeping the most important elements in the frame and discarding unimportant background, thanks to the magic of deep learning and machine vision.
Want to jump right in and try it out yourself? Check out our Image Recommender Demo! Like it? Sign up and integrate the Image Recommender Algorithm into your digital workflow to process thousands of articles every hour, and supercharge your content publishing pipeline!
Your website publishes thousands of articles each day. Your writers create stories, embed images, and tag them for SEO purposes. It’s your job to share them out on social media… but you’re struggling to keep up with the volume.
After coming up with a snappy tagline, you still have to select the best image and crop it to different sizes for Facebook, Twitter, LinkedIn, and all the other networks. Using a batch image-cropper might remove something important from the photo — like Elon Musk’s face, or half of the car being featured — so you put in a lot of time cropping and resizing by hand.
What if you had an automated way of handling the image picking and cropping process? Well, there’s now an algorithm for that. Today we’ll talk about how we’ve managed to bring together many different algorithms into a single ensemble that can intelligently select, crop, and score images for social media sharing.