Announcing availability of Falkonry’s Time-Series AI software on OCI

In 2016, Oracle hit the reset button on our cloud strategy and approach, and we released our Gen 2 Cloud. With this release came a strong focus around infrastructure, security, performance, scalability, and cost management. Fast forward to 2022, and Oracle Cloud Infrastructure (OCI) is one of the fastest growing clouds in the world!

After establishing a strong, reliable platform, we look for others in the technical industry that share the same passion for customer success where we can combine our efforts to better serve customers.

Our partnership with Falkonry is exciting for a few reasons, starting with the infrastructure flexibility. Falkonry uses FedRAMP-compliant and DISA P-ATO authorized infrastructure and software services from Oracle to provide services in environments that require high security around data governance and high-performance GPU-accelerated compute, and OCI cluster networking. OCI also provide its Roving Edge Infrastructure that enables new use cases, such as running artificial intelligence (AI) services in factories that have limited internet connectivity and on naval ships that have without connectivity. Falkonry’s AI suite can now run anywhere for any level of security requirements.

With security, Falkonry is increasing both performance and lower cost to reduce the barrier to entry for a wide range of industries. By applying Oracle’s Gen 2 commercial cloud, Roving Edge, and Government cloud, it can provide best in class security, performance, scalability at the lowest possible price for a wide range of customers as a software-as-a-service (SaaS) offering.

While these updates are exciting for both Oracle and Falkonry, where it really makes an impact is with customers who want to drive insights, from various industries.

Applicable industries

Time-Series AI is applicable in various industries. Think of time as information. As we progress forward in the day, week, month, year… events happen. Those events are data signals.

How often have you said, “If I would have realized that sooner, we could have avoided…”? Falkonry and Oracle find anomalies in your time series data from all your signals as they happen and alert on it so that you can understand what caused it and get ahead of the game by anticipating consequences. Then it can learn from the anomaly eventually to tell you what happens before the failure.

While the use of time-series data to drive productive insights isn’t limited to a specific industry, some industries have great use cases to learn from, including the following examples:

• Automotive manufacturing

• Metals

• Petroleum (Oil and gas)

• Electronics and semiconductors

• Pharmaceuticals

• Chemicals

• Defense and intelligence

Steps for success

1. Identify your business need (Problem) and use case (Focus area): Applying technology to real problems that have true business impact is key. My personal background before joining Oracle was with Toyota. Focusing on root cause analysis to prevent future problems was a strong focus for us. What problems exist in your business that are disruptive to standardized work, resulting in downtime, increased defect rates and non-standard processes? Those questions are a great place to start.

2. Data preparation: What equipment and tooling sits within the selected process? Is it connected? Is it ready to be ingested? Be mindful that the data signals are critical to the success of any projects where time-series data is needed. This step can be flexible, where you use batch processing or a true data stream.

3. AI application: Here, Falkonry shines. After we have identified the data signals around the part of our plant that we’re concerned about, we can bring it to Falkonry’s self-learning AI and start analyzing the data it’s monitoring. Within a few days, it establishes what ’normal’ is, and then any deviation or unusual behavior is alerted to your team, who can triage the cause of the anomaly. Your team can then determine the right course of action and try to avoid or minimize the impact from this anomaly. This process doesn’t take time from your subject matter experts’ (SMEs) daily work and can be carried out on your own using Falkonry’s AI-based application.

4. Business results: In this phase, we can see, as an example, increased amperage running to a variable-frequency drive (VFD). While the VFD continues to run, likely, without issue for many days, the increased amperage shows a sign of eventual failure. This warning allows your maintenance teams to have planned, controlled changes to wear items, avoiding downtime and disruption and extending the useful life of your VFD. The result is better quality, less cost, and more productivity within your business.

Final thoughts

Overall, this partnership can enable Oracle customers to use many data platforms, both modern and legacy, to drive insights without the need of large data science teams. The ease of use, the rapid deployment, and the value Oracle Cloud Infrastructure and Falkonry can provide in this space has the potential to be a great, transformative asset to your business.

For more information, see the following resources:

• Falkonry

• Oracle Cloud Infrastructure