Selfies Spawn Photo Analytics
An estimated 1.8 billion photos are shared on social media each day. Current “social listening tools” can’t analyze all this data.
Enter Ditto Labs Inc., which touts its proprietary “visual recognition engine” that locates brand names in social media posts, then turns the information over to marketing geniuses.
It’s the brave new world of “photo analytics,” according to Ditto, that uses its recognition engine to scan photos for corporate logos that might hint at how consumers “interact” with products and brands.
Ditto claims its solution outperforms hashtag and text-based searches because it is able to discover and analyze photos of logos and brands. The photo analytics vendor claims it can answer questions like where photos were taken and when did the consumers in the photo use a particular product.
Ditto announced a “firehose partnership” with the Yahoo-owned social media site Tumblr on August 19. Tumblr users post an estimated 130 million photos a day. “The deal will help companies better understand consumer preferences for products and services as well as affinities by looking at the brands people include in their photos,” Ditto noted in a statement announcing the deal.
Ditto has similar deals with Twitter and Instagram for “brand photo listening capabilities.” The company also offers “photo-based social ad-targeting” for retailers.
Among Ditto’s other analytic tools are an API designed to combine data gleaned from posted photos with text analytics.
Tumblr told the web site Mashable that it has no immediate plans to start sending out targeted advertising. Instead, it reportedly will share Ditto data with advertisers who want to know how they are perceived on hip web sites like Tumblr.
Ditto also makes photo analytics from Tumblr and other social media clients available to its customers.
Ditto’s visual recognition engine is based on image recognition technology long used to acquire, analyze and understand images. The company leverages pattern recognition in particular to spot generic objects in a photo like a bicycle or the pixel pattern of the Coca-Cola logo.
Pattern recognition allows users to “simply upload an image of the Coca-Cola logo to a search algorithm, which can find that image in other images,” the company noted in a blog post. “It is a more natural and intuitive way to search the ever-expanding visual web.”
Ditto appears to have the emerging photo analytics market largely to itself, claiming that it proprietary computer vision technology provides “structure to social media’s unstructured visual content.”
The privately-held company based in Cambridge, Mass., closed a second funding round in May that raised $2.2 million. The lead investor is Cue Ball Capital. Many of the company’s executives are MIT-trained computer scientists. Among its strategic advisors is Nicholas Negroponte, co-founder and director of the MIT Media Lab.
October 16, 2019
- The Delta Lake Project Turns to Linux Foundation to Become the Open Standard for Data Lakes
- Splunk .conf19 Hits 10th Year with Over 200 Customers to Present at Anniversary of Conference
- Percona Survey: Diverse Tools, Multiple Databases, and MultiCloud and Hybrid Environments are Transforming Datacenters
- MicroStrategy Partners with DataRobot to Set New Standards for Enterprise AI-Driven Insights
- SAS Reseller EIS Wins Spot on $500M DOJ Analytics Blanket Purchase Agreement
- SwiftStack and InfiniteIO Introduce Solution to Ease Enterprise NAS Cost, Performance, and Capacity
- Study: WANdisco’s LiveMigrator/LiveAnalytics Solution Outperforms its Competitors
- Databricks Simplifies Machine Learning Model Management at Scale with MLflow Model Registry
- Elastic Introduces Elastic Endpoint Security
- Alteryx Releases its Data and Digitization Report at Inspire Europe 2019
October 15, 2019
- Survey: Most Analytics Projects are Jeopardized due to Lack of Access to Data
- Interana Opens Behavioral Analytics Query Language with Release of 4.0
- Intel Xeon Scalable Processors Accelerate Big Data Computing in Alibaba Cloud
- SAS and Red Hat Collaborate to Optimize Analytical Capabilities Across the Hybrid Cloud
October 14, 2019
- Woodbury University Launches Computer Science in Data Analytics Program
- Japanese Researcher Wins Award for Applying Data Mining Tech to Analyze Big Data in Business Marketing
- NFL Launches Second Annual Big Data Bowl Competition
- H2O.ai Announces Additional Speakers for H2O World New York 2019
- SAS Announces Keynote Speakers for Analytics Experience 2019 in Milan
October 11, 2019
Most Read Features
- What’s the Difference Between AI, ML, Deep Learning, and Active Learning?
- Kafka Transforming Into ‘Event Streaming Database’
- Big Data File Formats Demystified
- Cloudera Begins New Cloud Era with CDP Launch
- 10 Big Data Trends to Watch in 2019
- Is Python Strangling R to Death?
- Hadoop Has Failed Us, Tech Experts Say
- How to Build a Better Machine Learning Pipeline
- Can We Stop Doing ETL Yet?
- Is Hadoop Officially Dead?
- More Features…
Most Read News In Brief
- Kafka Spawns Open-Source KarelDB
- California’s New Data Privacy Law Takes Effect in 2020
- HPE Acquires MapR
- War Unfolding for Control of Elasticsearch
- Global DataSphere to Hit 175 Zettabytes by 2025, IDC Says
- What to Expect at Strata This Week
- Data Lakes Get Structured
- MapR Says It’s Close to Deal to Sell Company
- Presto Moves Under Linux Umbrella
- IBM Adds Kubernetes Operator for CouchDB
- More News In Brief…
Most Read This Just In
- Datanami Announces 2019 Readers’ and Editors’ Choice Award Winners
- Databricks Partners with Tableau: Enabling Organizations To Run Business Intelligence on Data Lakes Faster and More Reliably
- Biogen Chooses Lexalytics to Improve Customer Care with New AI-Based Text Analytics System
- Aimia Selects H2O.ai Driverless AI for its Customer Loyalty Programs
- Aerospike Now Supports Intel Ethernet 800 Series with Application Device Queues Technology
- DataRobot Enhances Enterprise AI Platform, Further Automating the Path from Data to Value
- New Cloudera Study Shows Current Enterprise Data Strategies Ineffective
- ArangoDB Extends Open Source Solution with ArangoML Pipeline
- Syncsort Survey Reveals Disconnect Between Data Trust and Data Quality
- TIBCO Announces Beta Program for its Cloud-Native Enterprise Metadata Solution
- More This Just In…
October 20 - October 22Charlotte NC United States
October 23 - October 24Berlin Germany