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October Edition 2020

Clarifai: Data scientists, developers, researchers, enterprises can master artificial intelligence lifecycle

Clarifai: Data scientists, developers, researchers, enterprises can master artificial intelligence lifecycle

With all the buzz around big data, artificial intelligence, and machine learning (ML), enterprises are now becoming curious about the applications and benefits of machine learning in business. A lot of people have probably heard of ML, but do not really know what exactly it is, what business-related problems it can solve, or the value it can add to their business. ML is a data analysis process which leverages ML algorithms to iteratively learn from the existing data and help computers find hidden insights without being programmed for.

With Google, Amazon, and Microsoft Azure launching their Cloud Machine learning platforms, we have seen artificial intelligence and ML gaining prominence in the recent years. Surprisingly, we all have witnessed ML without actually knowing it. Some of the most common instances are 'Spam' detection by your email provider, and 'Image' or 'Face' tagging done by Facebook. While Gmail recognizes the selected words or the pattern to filter out spam, Facebook automatically tags uploaded images using image (face) recognition technique. Business benefits of AI and ML are numerous.

Founded in 2013 by Matthew Zeiler, a foremost expert in machine learning, Clarifai has been a market leader since winning the top five places in image classification at the ImageNet 2013 competition.
Recognized by leading industry analysts for its award winning platform, Clarifai offers an end-to-end solution for modeling unstructured data for the entire AI lifecycle. Its powerful image, video, and text recognition solutions are built on the most advanced machine learning platform and made easily accessible via API, device SDK and on-premise, empowering businesses all over the world to build a new generation of intelligent applications.

Label

Divide tasks and conquer: Delegate data annotation tasks across teams of all sizes based on your unique needs

Optimized for productivity: Workflows, measurements and automation are combined to improve the productivity of your highly repetitive tasks

AI-assist: Auto-annotated labeling assigns concepts automatically for faster dataset annotation

Predict

Images: Capture data about the physical world through images. Clarifai’s APIs support the most common formats (JPEG, PNG, BMP, TIFF, WEBP). Responses fire in 50-500ms intervals, depending on complexity.

Video: Process video 100x faster than a human ever could. The firm’s  APIs operate on video clips in standard formats (MP4, AVI, GIF, MOV, WMV and 3GPP). Outputs are encoded as a time series for easy analysis.

Text: Categorize, sort and search documents at scale. Use NLP to analyze text for topics, sentiment and moderate for inappropriate content. Clarifai will help you unlock the meaning behind text data.

Rendered solutions

E-commerce

Optimize product search and discovery with Computer Vision and AI: Search is at the heart of modern e-commerce. Ranking search results, personalizing product recommendations and improving product discovery are critical to driving revenue. AI allows you to better capture insights from your images, video and text and leverage that data to improve the customer experience.

Improve SEO onsite and offsite with advanced data labeling: Improve search engine optimization and make it easy for your customers to discover your products online. Provide them with faster expanded search results to reduce bounce rates and make purchase decisions faster. Use Clarifai’s apparel, furniture, home goods or general models to automatically label your visual data with relevant keywords.

Tourism

Personalize services and increase revenue per customer with computer vision and machine learning: Improving the travel experience helps maintain revenue right when customers enter your establishment. Gain guest insights and make data-supported decisions to drive business growth and revenue

Cruise terminals, hotels and casinos: From guest demographics to identifying your biggest clients, computer vision provides hospitality strategists with the tools to personalize guest experiences and keep your establishment ahead of the competition.

Digital Asset management

Help your clients discover the full spectrum of their digital assets: Clarifai's powerful public and customizable models create dynamic ways to collate, filter and retrieve digital assets. Using computer vision, differentiate your digital asset management platform by helping clients quickly tag content and search more deeply based on media content, color, location, abstract concepts and more.

Integrate automated asset tagging into a single solution: Minimize manual processes and enhance your client's asset management capabilities with automated metadata tagging. With the firm’s out of the box pre-trained models, uncover over 11,000 concepts within your video and images. Using custom models search and tag data based on any additional criteria specific to your business needs.

Augment your platform with visual search capabilities: Find the right digital assets faster with Clarifai’s advanced Search capabilities. Search videos, images and documents based on visual similarities. Drill into search results through advanced filtering capabilities based on metadata, annotations, geo-location and more. 

Matt Zeiler, CEO & Founder

Matt has worked alongside renowned machine learning pioneers Geoff Hinton, Rob Fergus, Yann LeCun and Jeff Dean. This experience cultivated his passion for convolutional and deconvolutional neural networks and visual recognition. Matt's unprecedented knowledge and know-how in deep learning landed him winning the top five places in image classification at the ImageNet 2013 competition. Matt received his undergraduate degree at University of Toronto and a Ph.D. in machine learning and image recognition from New York University.

“Clarifai’s deep learning systems have improved orders of magnitude in speed, vocabulary size, memory footprint and have expanded beyond images to extract knowledge from all forms of data.”


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