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ExploreThe support, guidance, and training I receive at work not only enable me to perform my job but also help me grow professionally and shape my career.
Srinivas Naidu Senior Software Developer“I won’t be lying if I say that I am yet to experience Monday blues. I look forward to coming to the office every day.
Sriharsha Arvapalli Team Leader - Business DevelopmentA proven process and specialized tools are needed to efficiently capture this expansive intelligence at an enterprise scale.
Maps are one of the most useful data types for contextualizing broader enterprise datasets. They turn static images of locations into multi-directional data that can be densely interwoven with broader data assets. From a virtual tour guide in an indoor mall to a comprehensive map of urban businesses—maps provide a vital link between detailed data insight and ground-level human experience.
Maps contain an astonishing depth of information which necessitates specialized skill set and tools for analyzing the complexity of location-rich data sets. This fact hinders far too many enterprises in their efforts to develop geography-rich data infrastructure.
Unlocked location-rich data ranging from interior maps to city transit guides
Extensive annotation and contextualization centered on client-selected priorities
Proven management techniques, run by pros with experience in running enterprise-scale data pipelines across the globe
Best practices for quality control and monitoring baked in at every stage of collection and processing
Smart automation and pre-built pipeline templates enabling efficient handling of map-data even at a massive scale
Analysis of subtle geographic factors and background research for deep contextualization
Ride sharing, search, mass transportation, and logistics are just a few examples of the rapidly expanding use cases for map data that continue to define the global economy. Processing this data at scale means finding new methods for collecting and understanding the essential elements of location-rich data sets. Many applications demand the capability to evaluate these factors in real-time and use them to generate actionable feedback for users.
Building out the technical and personnel resources needed to establish this sort of data pipeline can seem a Herculean task. At Zen3, we have put our data services “on the map” by supporting our clients for navigating this process, delivering a high-efficiency process for building map-data pipelines of any scale with ease.
Maps Collection and Curation
Translation Transcription and Transliteration
ML Automated Labelling and Annotation
Human Annotation and Labeling with Quality Control
Converting and Automating Ongoing Maps Data Requirements
Maps Data Moderation
Successful AI Data Items Delivered
Expert Annotators
PII Compliant
Successful AI & Data Projects
Data Acceptance and Accuracy
Coverage
Our Data Services Group covers more than map data. With over 150 million data entries, a 1200+ person team of experts, experience in 20+ languages and presence in over 13 markets, we deliver an efficient data pipeline, no matter how ambitious our clients’ vision for map data.
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