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Guide to IIoT Analytics

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Unified Smart Manufacturing Architecture

After overcoming challenges in time series data quality, ML Ops, alerting, and advanced analytics, Falkonry is now integrating MQTT, and Unified Namespace (UNS)

Accelerated AI Activation: The Seamless Integration of iba and Falkonry

By combining Falkonry AI with iba Systems, industrial organizations can put their data to work without changing the existing infrastructure.

4 Myths of Maintenance Data

It is believed that maintenance events record the same information as machine data. Here are 4 myths of maintenance logs and machine data that betray this belief

Falkonry’s AI Cloud for IIoT with Litmus can get you Smart results

Open, Secure, Intelligent, and Flexible: How Falkonry’s AI Cloud for IIoT with Litmus can make your Manufacturing Operations Smart

Time Series Data + AI + Cloud

Learn how seamless integration of time series data and AI anomaly detection drives actionable insights, revolutionizing industrial operations

Organizing Signals in Falkonry

Falkonry leverages time series data originating from industrial systems and assets to produce insights at the equipment level.

How deep learning model management with GPUs makes industrial automation AI real

Falkonry’s unique approach to deep learning models exploits GPU acceleration at scale and optimally enables AI for industrial automation

Automating strip break classification in a cold rolling steel mill using machine learning

Find out how AI-enabled automated strip break classification can improve the efficiency of a tandem cold steel rolling mill.

A day in the life of a defense analyst utilizing time series AI

How can a defense analyst detect unknown target behaviors in a geographical area of interest using a time series AI-based analysis solution?

AI-based operational excellence in steel manufacturing

Find out how steel manufacturers are able to maximize production uptime, reduce wastage and improve quality by using AI in steel manufacturing

Use AI to differentiate between earthquakes and underground explosions

Underground nuclear explosions produce a unique seismic signature, which can be monitored and analyzed in real-time using time series AI to raise alerts

An Inventory of Needles

Are you sure the needle you’re searching for is the most important thing in that data haystack? How does one figure out what else is in there?

What is MLOps and who is it for?

Getting the right models to the right places at the right time is difficult at scale. MLOps solves that problem but many need help making it simple enough.

Building a Solid Analytics Foundation from Higher Technical and Higher Cultural Readiness

Finding opportunities to increase analytics capability in highly capable organizations is hard. It takes a team to ID the overlaps which bring success.

Building a Solid Analytics Foundation from Higher Technical and Lower Cultural Readiness

Overcome the organizational impedance mismatch between operations and data science to sow the seeds of a widespread, productive analytics culture.

Building a Solid Analytics Foundation from Lower Technical and Higher Cultural Readiness

Building analytics capability from a position of lower technical readiness but high cultural readiness lets you focus on “how” instead of “why.”

Building a Solid Analytics Foundation from Lower Technical and Lower Cultural Readiness

Building analytics capability from a starting position of lower technical and cultural readiness does not guarantee failure. It might actually be a blessing

Building a Solid Analytics Foundation

The analytics foundation you build depends on your current capabilities. This is a framework for thinking about those capabilities.

Time series AI and Impedance Matching in Organizations

Industrial data analytics evaluations face both technical barriers and expectation gaps. Overcoming both challenges requires a shift in how such evaluations are framed.

Analytics Success is a Process

Improving analytic capabilities requires a concerted effort between the organizational culture and the technology deployed for using the data generated.

Assisting Continued Process Verification with AI

Altering an established Continued Process Verification (CPV) process is difficult because of regulatory challenges. But simply assisting CPV – leaving the regulatory portion untouched – can have significant benefits.

Integrating Falkonry with Azure IoT

Falkonry's AI SaaS platform, Clue, is designed to leverage Azure's IoT infrastructure in such a way that integration is easy, and manufacturers begin to gain insights from existing operational data swiftly

Castles in the Air – Lessons from Semiconductor’s FDC Culture

The ubiquitous use of Fault Detection and Classification (FDC) systems in the semiconductor industry, highlights the importance of building a strong technical and cultural foundation, in order to support your predictive and prescriptive goals.

Taking the Next Step – Predictive Digital Twins

Traditional operational excellence strategies are being overtaken by machine learning, which are giving way to predictive digital twins. Find out how predictive digital twins help solve complex operational problems before they impact business.

ASME Digital Twin Summit – Twins and the Digital PLC

The founding father of digital twin concept and others talk about their intrepretation of digital twin and digital product life cycle at The American Society of Mechanical Engineers (ASME) summit

Rapid, Flexible Analysis with Falkonry time series AI

Falkonry's time series AI platform provides a flexible modeling approach for SMEs to use operational data to quickly create models to solve unique problems

Predictive Operations in Food and Beverage

It is crucial that a F&B manufacturer enables predictive maintenance and predicting quality issues to cope with fluctuating demand and lower costs

Interview with Ian Hersey: DoD’s push for digitalization and CBM+

The U.S. DoD is pushing for digitalizaton through machine learning. A key area of focus is to improve asset readiness and performance

How Intelligence-First Leads to Faster Learning and Cost-Effective Scaling

The intelligence-first approach to machine learning captures human knowledge and expertise leveraging it for quicker and cost-effective scaling

Machine Learning: The Natural Form for Capturing Tacit Knowledge?

Intelligence-first is a low cost machine learning (ML) approach to capture an expert's tacit knowledge i.e. the knowledge gained from examples

One Software Version for SaaS, Private Cloud, and Airgap Deployments

AI software should be available in every desired cloud - SaaS, Private and Airgap. This is a must for industrial and national security organizations.

Historical Data: The Gordian Knot of Machine Learning

The Falkonry Time Series AI platform provides a path to machine learning with realtime data. Get better results using the richness of current production context.

Predictive Operational Excellence as a Competitive Team Sport

Coaches are operational excellence and innovation staff that find the strategy, develop tactics, and secure tools. Operators are the players in the sport

Do. Or do not. There is no POC

Don’t get caught in the proof of concept trap. Learn why organizations get stuck at the POC stage and find out how leaders are avoiding POC purgatory.

How do patterns enable AI-based Operational Excellence

Traditional ML in industrial applications has its challenges. Here's how Falkonry overcomes them to deliver AI-based Operational Excellence.

AI-enabled Operational Excellence

Falkonry empowers your operational excellence strategy. Learn how our patented AI can take your OE strategy to the next level.

Learn-as-you-go – Enabling mass adoption of condition prediction

The article highlights three substantial barriers to successful adoption of predictive operations when relying on historical data and describes a system which overcomes these barriers using a connected learning approach that leverages operations expertise.

Mass-adoptable technology for AI-enabled Operational Excellence

Learn about the four drivers a technology needs to be adopted at scale and how they apply specifically to AI and predictive operations.

New “Pay as you Deploy” Subscription Provides a Cost-Effective and Scalable Path to Operational AI

By making Operational AI adoption and deployment easy and scalable, Falkonry customers now have an extremely cost-effective and risk mitigated path to start realizing significant ROI through predictive operations.

Increasing production with zero marginal cost predictive analytics in manufacturing

The work of achieving operational excellence has gotten more and more difficult. What is needed to successfully deploy predictive analytics in manufacturing?

Rethinking Time Series AI

Time Series AI is undergoing a rework: By making AI easier to use by the operational teams you attain value within days, not months.

What is a pattern and why does it matter for AI-enabled operational excellence?

Data patterns are often too complex for humans to see. Learn how Falkonry does multivariate pattern analysis, leading to powerful ML based predictions.

Empowering our healthcare warriors with predictive analytics

Learn how Falkonry can empower hospitals to deliver precision care while maximizing ICU throughput by applying predictive analytics in healthcare.

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