Exclusive Interview with Rik Chomko, CEO, InRule

Businesses are adapting to automated intelligence to get past the cycle of performing the routines of dull yet critical tasks. Explainable AI enables the transparent design of the automated process to deliver trustworthy digital solutions, which businesses can trace back for analytics and audits. InRule is an automated intelligence platform, that believes in providing automated intelligence solutions for businesses to make optimum decisions without having to step into the maze of programming. Analytics Insight has engaged in an exclusive interview with Rik Chomko, CEO, of InRule.

1. Tell us how your company is contributing to the AI industry of the nation and how the company is benefiting the clients.  

  InRule provides enterprises within financial services, insurance, healthcare, and the public sector with intelligent automation through integrated decisions, explainable AI, and digital process automation software. By enabling IT and business leaders to make better decisions faster, operationalize machine learning, and improve complex processes, the InRule Intelligence Automation Platform helps to increase productivity and revenue, while delivering exceptional business outcomes. More than 500 organizations worldwide depend on InRule to empower subject matter experts with actionable explainability while reducing development cycles by up to 90 percent for mission-critical systems.            

2. How is AI evolving today in the industry as a whole? What are the most important trends that you see emerging across the globe?

The AI industry is paying closer attention to the implications of its technology – specifically when it comes to bias. "Right to explainability" legislation is spreading with the Algorithmic Accountability Act of 2022 proposed in Congress and the European Union pushing for stricter AI regulations abroad, as well. Around the world, we are seeing the emergence of bias detection tools in response to this legislation. It's imperative for businesses to consider AI bias detection tools that allow stakeholders to view the "why" and every factor going into a prediction or decision. Successful bias detection technology creates an auditable record of recommended predictions and decisions and the underlying factors that influenced them.

3. What are the key trends driving the growth in AI/Machine Learning?          

The demand for increased efficiencies and improved customer outcomes continues to fuel the growth of AI and Machine Learning. Amid the labor shortage we are currently experiencing across industries, automation can exist as a driver of the business, assisting to make employees' jobs easier, while simultaneously delighting customers with faster-than-expected turnaround times and powerful self-service applications.

4. How is Machine Learning (ML) shaping the IT industry today? How is it changing the role of CIOs and Leaders?

Machine learning is streamlining IT processes, increasing business efficiencies, and ultimately, reducing costs. The CIO must invest the appropriate funds in IT development, but also ensure their workforce has the tools and education to succeed when using automated features. CIOs also need to worry a lot more about the sources and quality of their data. An ML model is only as good as the data that is used to train it. So, putting through bad (e.g., biased) data will result in undesirable results.

5. How is the AI industry changing? What are some of the key technology transformations in this space?

The democratization of AI is one of the biggest changes hitting the industry right now. No code/low code AI is empowering those with a limited technical background to harness the power of AI without having to be a coding expert. Guided, no-code model-building processes enable non-technical employees (citizen data scientists) to solve machine learning challenges faster, using fewer resources, while reducing the risk of human error and increasing the accuracy of predictions. With the rise of no-code AI, businesses that had previously been unable to access the benefits of AI due to staffing or budget limitations can now begin to realize the power of automation within their business practices.

6. How is your company helping customers deliver relevant business outcomes through the adoption of the company's technology innovations?

By utilizing InRule's technology customers can realize major savings – both in terms of time and money. For example, our customer, Granngården, one of the largest non-food retailers in Sweden, needed assistance improving and automating its claim handling process. They were previously utilizing a manual process that involved several disparate systems that made it difficult to follow up on cases and led to lost revenue. The main reason why Granngården chose InRule was the flexibility and speed that low-code technology offers. In just two months of InRule being up and running, Granngården has already witnessed major changes and savings. Earlier, they were forced to spend much working time following up on incomplete information and administrative tasks. That time has now been significantly reduced, both in feedback to suppliers and communication with the stores.

7. What is the edge your company has over other players in the industry?

What sets InRule apart from others in the industry is our dedication to making automation accessible across the enterprise. Our goal is to deliver the power of computing without the complexity of programming, making it easy for organizations to leverage intelligence automation for quantifiable, decisive results. We're bringing together decisions, machine learning, and process automation into a single platform for a seamless way to infuse intelligence into an application. With 20 years of experience in the AI industry, InRule has seen the development of AI from a nascent technology to a key force within businesses of all shapes and sizes. We understand that creating frictionless, easy-to-use solutions is central to the adoption of AI.

8. Could you highlight your company's recent innovations in the AI/ML/Analytics space?

InRule recently announced the addition of AutoML within XAI Workbench, our suite of machine learning modeling engines. AutoML is no-code workflow automation for ML model creation that empowers novice practitioners to quickly build and deploy AI-powered applications. With AutoML, citizen data scientists, including business analysts and other subject matter experts, are empowered to create, train and deploy powerful machine learning models. The technical skills gap is hampering businesses' ability to digitally transform their offerings and remain competitive. By creating accessible solutions that use fewer resources while reducing the risk of human error and increasing the accuracy of predictions, InRule is lessening the barrier to entry for AI by removing the need for technical background. Finally, as AI becomes even more widely deployed throughout enterprises and legislation evolves, the ability to quickly and easily ensure that models are free from harmful bias is going to be a top priority. We're proud to be at the forefront of providing that kind of functionality.