In a world that only ever speeds up, manufacturers need to embrace technologies that let them shift operations quickly and seamlessly. Manufacturing 4.0 technologies like machine learning and robotics provide that power, but the scale of the M4.0 transformation can seem overwhelming.

In a recent edition of the Manufacturing Leadership Council’s Manufacturing Leadership Journal, Oracle Senior Director of Transformational Technologies Anant Kadiyala lays out six factors that make all the difference for successful M4.0 adaptation. Below is some of his advice.

Technology Adoption: Companies that consider the full range of technology’s benefits are setting themselves up for success. Some trends to consider:

• Software is becoming more integral to business operations and product functionality—allowing products to be configured and monitored in real time using analytics.
• On the operational side, the industrial internet of things and machine vision are enabling a whole host of advances in real-time monitoring, anomaly detection and worker safety, among other uses.

Data-Driven Decision Making: Companies that make good use of data achieve higher margins than their peers, according to a McKinsey study, but that requires some key ingredients, including:

• A unified data infrastructure, including APIs, applications, analytics, real-time systems and much more;
• The right tools to process the data; and
• Employees who are skilled in data-driven operations.

“In most companies, 90% of the data goes unused. In addition, more than 70% of the time and effort in data science projects is often spent on moving, cleaning and preparing data,” says Kadiyala.

New Business Models: “Modern technologies, such as cloud, IoT and AI/ML, enable every manufacturer to have the sophistication of business operations and real-time feedback loops that were only enjoyed by the big players,” says Kadiyala.

Innovation and Experimentation: Manufacturers can pursue different options for innovation, with partnerships being a common choice. Other methods might be design workshops or R&D investments, Kadiyala notes.

• “With the right people, processes and tools, companies can navigate faster and realize value quicker. The lean methodology that the manufacturing industry is renowned for also works very well for innovation.”

Well-Integrated Teams: The right talent is critical to business transformation—and good data, process automation and collaborative practices clear the way for employees’ success.

Culture: As Kadiyala puts it, “Successful companies start early innovation on the edges of their business, deliver a few wins and then gradually build their way into the rest of the organization. All successful transformations need employees to enjoy a strong sense of purpose and mission for the change.”