Sixgill, LLC, the leader in data automation and authenticity for
sensor-informed Internet of Everything (IoE) applications, has unveiled
Sense™ Machine Learning (ML), a major addition to the company’s Sense
data automation product suite.
Sense ML provides for easy and rapid deployment and lifecycle management
of training data and ML models, at scale. When deployed on the Edge,
Sense ML pushes the power of Sense capabilities to the sources of data
creation—the Edge devices themselves.
Sense Provides a Unified ML Experience
Overall, Sixgill Sense powers unified sensor data automation for rapid,
uniform development of IoE applications for a vast range of use cases.
With the addition of user-friendly ML tools and services, Sixgill makes
it easier for organizations to get started with ML and eliminates the
dangers of siloed and unshareable ML training data and models. On the
Edge, Sense ML enriches sensor data at the source to provide greater
data context and resolution. This ensures more accurate measurement,
deeper contextualization, real-time actionability and data quality
Cameras, and the intensive data they produce, are ideally suited for
Edge deployment with Sense ML. For high-performance data capture and
processing, the Sense Vision ML Data Pipeline transforms camera imagery
for deep learning and frame-by-frame analysis, real-world insights and
By processing data at the Edge, on the cameras themselves, there is no
need to send data to servers or the Cloud. This immediacy and privacy
protection are crucial for use cases such as worksite monitoring for
policy compliance, space occupancy and utilization, and guest experience
Sense ML maximizes the value of organizations’ real-time intelligence
with full-scale automation that with training gets smarter over time.
Sense ML is:
Complete: Provides data scientists, application developers,
CTOs, CIOs and others a backbone system, from data collection, to
processing, discovery, and automation with options for existing or
Sixgill model creation, model training and deployment
Efficient: Lowers latency and cost with Edge deployment,
improving speed and accuracy of real-time responses, as well as
filtering and management of data flow to the Cloud
Flexible: Allows for implementation with or without ML
capabilities, as well as connection to internal or third-party systems
and analytics packages
Integrated: Unites Sense with other Sixgill products such as
Sixgill Integrity for Blockchain-based data authenticity and permanent
Intuitive: Enables customers to easily and visually monitor and
manage devices, datasets, rules and actions, live metrics, reporting,
and more with full-featured dashboards
Optimize Data Automation Today to Future-Proof Internal Systems
With Sixgill Sense, organizations are able to master the new challenge
of managing unceasing flows of sensor-generated “time-series” data. This
data differs from “record-oriented” data that legacy systems were
designed to handle. Sense was built to ingest time-series data streams
at any scale or velocity, organize it, separate actionable events from
the noise, and automate appropriate responses – in real time.
Sense ML is in Sixgill Sense today and can be applied across a wide
range of use cases in areas such as smart cities, smart buildings, smart
construction, hospitality, retail, worksite optimization, logistics,
transportation and others.
“Sense ML elevates data automation in Sense to enable applications to be
truly sensing and adaptive in real time,” says Phil Ressler, CEO of
Sixgill. “Sixgill’s capabilities will help organizations of all types
use machine learning and edge computing for intelligent data automation
Frost & Sullivan, a global research and consulting firm that tracks
emerging technologies and companies to watch, recently profiled Sixgill
as a “leading provider of IoT data services” in a report on new data
security technologies. You can view or download the Frost & Sullivan
report on the Sixgill website, here.
Sixgill provides a full suite of universal sensor data automation
products and services that enable organizations to govern IoE assets.
With Sixgill, organizations easily acquire, analyze and act on any
sensor-generated data, at any velocity or scale. Meeting the increasing
necessity for end-to-end sensor data management, process automation and
analytics for sensor-informed operations, Sixgill offers Sense for
sensor data enrichment and automation, Sense Visibility for ML-based
camera data intelligence, and Integrity for blockchain-based
authenticity. To learn more, visit Sixgill.com.
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