Smart App Embedded with Artificial Intelligence Improves Operations in Real-time

The popular press dithers over Artificial Intelligence and the “young ladies” Siri and Alexa spy on your every word. However, there are real, practical applications of AI that can help us operate and maintain our manufacturing and industrial operations. Here is one from AVEVA, a company that seems to have dominated my news this summer.

It has launched AVEVA Insight OMI app infusing real-time artificial intelligence into an operator’s decision-making. This app presents real-time anomaly detection in a context-aware OMI visualization display.

The AVEVA Insight OMI app introduces AI capabilities into the AVEVA System Platform, formerly Wonderware, and leverages predictive early warning and automatic detection of unusual operational behavior. This provides users with early notification so they can quickly resolve issues before they become critical business problems such as unplanned downtime and production losses.

A simple management interface enables operations, maintenance and production teams to quickly train the AI engine to adapt to the enterprise’s specific implementation. An intuitive thumbs-up or thumbs-down confirmation ensures AI-driven notifications are relevant to the needs of the user and support overall enterprise objectives, with no programming or data science knowledge required. This closed-loop feedback improves the accuracy of the AI prediction engine over time and enables users to see what matters. As anomalous patterns are identified, they can be captured and presented by the app within an organization’s on-premise HMI/SCADA solution, delivering insights directly where operators need it.

“IIoT applications have driven a massive increase in the collection of real-time operations and manufacturing data. As a result, operators face alarm overload and often cannot effectively react to or distinguish between process-critical situations and false positive alarm conditions, resulting in the loss of operational time and resources. By harnessing the power of AI and advanced cloud analytics, AVEVA is enabling operators to take proactive action, before process and maintenance problems occur,” commented Rashesh Mody, Vice President, Monitoring and Control, AVEVA.

“In today’s climate of increased demand for innovative technology solutions, the launch of our new AVEVA Insight OMI app is a significant development because it serves as a single interface into operations by bridging the information technology and operational technology divide for increased agility and situational awareness. We are very excited to introduce a solution that will help our customers manage critical operations and improve decision support for maximum profitability in these fast-changing times,” Mody concludes.

Data Remains Key Challenge for Artificial Intelligence Projects

70 Percent of Companies Report C-Suite Involvement into AI Projects, with COVID-19 Driving Acceleration of AI Strategies – But Businesses Still Name Data as Key Challenge.

“Artificial Intelligence is neither,” according to my favorite quip. This field of computer science is perhaps the most misunderstood thanks to possibility thinkers like Ray Kurzweil and the many dystopian movies. Nevertheless, AI in its realistic form powers much modern technology. And not only for home artificial listening devices. Business and industry use it often, as well.

Appen Limited, the leading provider of training data for organizations that build effective AI systems at scale, has announced its annual State of AI Report for 2020. The report highlights increasing C-suite involvement and investment in enterprise AI projects as well as data being a key challenge as AI models get more frequent updates in production. The report also reveals the recent acceleration of AI strategies in the wake of the COVID-19 pandemic.

According to the report, nearly 75 percent of businesses now consider AI critical to their success, and AI continues to grow in importance across companies of various sizes and industries. Yet, almost 50 percent of those who responded to the 2020 State of AI survey feel their company is behind on their AI journey, suggesting a critical gap exists between the strategic need and the ability to execute.

“Many organizations have adopted the use of the internet at the core of their processes, and AI is on a similar journey from fringes to core value offering. Increasing investment in AI projects and greater involvement by the C-suite, along with accelerating enterprise adoption in the wake of COVID-19, are clear indicators that AI is core to business success,” said Appen CEO Mark Brayan. “However, most companies are still in the early stages and facing challenges, especially around training data.”

Key Takeaways from the 2020 State of AI Report

The C-Suite is now far more heavily invested and involved in the development of AI projects

Executive visibility and involvement in AI have increased over 30 percent year-over-year, with 71 percent of organizations reporting C-suite involvement in AI projects. What’s more, the percentage of companies investing over $5 million has effectively doubled compared to last year. With this level of executive involvement and increased budgets, ethics, governance, and risk management initiatives have become important topics for technologists building AI.

COVID-19 is not slowing AI Investment

Continuing investment in AI shows that businesses are choosing to spend in times of turbulence. Two-thirds of companies do not expect any negative impact on their AI strategies. Nearly 50 percent of companies have accelerated their AI strategies, 20 percent doing so “significantly,” betting their AI projects will have a positive impact on their organization’s resiliency, efficiency, and innovation.

“COVID-19 has changed everything about the way companies are operating today, but not everyone has adapted in the same way,” added Wilson Pang, CTO at Appen. “The State of AI report shows despite turbulent times, more than two-thirds of respondents do not expect any negative impact from COVID-19 on their AI strategies. Those that are prioritizing AI see the power of digital transformations as a way to improve their resiliency and long-term performance.”

Data remains the key AI challenge

Training data is the key to successful AI, with 3 out of 4 companies updating their models at least quarterly. However, 40 percent of those updating quarterly feel that a lack of data or data management is a challenge.

“Many businesses are still early on their AI journey and they are finding that their data needs span beyond in-house resources when looking for high-quality, annotated training data that drives AI success,” added Pang. “Industry leaders are turning more and more to third-party providers like Appen to help them deploy their AI projects.”