Webinar: Data monetization to fuel digital transformation across manufacturing
Register for this webinar to understand how manufacturers can gather and monetize data from across the value chain to create operational efficiency and drive innovation
Data is a key building block of a successful digital transformation strategy.
It is a vital enabler to either optimize efficiency of manufacturers’ value chains or to develop new data-driven business models.
The big potential of data comes from applying intelligence to it, by leveraging big data analytics, advanced analytics, artificial intelligence and more to transform data into insights.
Manufacturers today can monetize data to both increase efficiencies in their value chains and to drive service innovation and new data-driven business models.
Join this webinar to learn the answers to the following key questions:
- Why is data monetization important for manufacturers?
- How do you identify and collect relevant data?
- How can you monetize this data across value chains?
Interested in the topic of monetizing data in manufacturing? In addition to registering for this Infosys webinar, read more of the firm's insights here
Presenters:
Stefanie Naujoks
Research Director
PAC Germany
Within PAC’s global Digital & IoT practice, Stefanie leads manufacturing-related research on a European level and works with manufacturers and IT vendors across Europe to help them understand how new technologies such as the IoT, robotics, AI, augmented reality and additive manufacturing will impact traditional processes and disrupt manufacturers’ business models.
She is an experienced speaker at events in Europe and is sought after for workshops with IT vendors (strategy and sales enablement workshops) and manufacturing companies.
Ruchir Budhwar
Senior Vice President, Europe, Manufacturing
Infosys
Ruchir is a Senior Vice President for Manufacturing in Europe at Infosys. In a career that spans two decades at Infosys, he has played an instrumental role in establishing the company’s presence in the manufacturing sector, which includes automotive, aerospace, discrete/industrial, and chemicals/resources.
Leading with a consultative, problem-solving approach to building alliances and partnerships and a well-defined go-to-market strategy, he has helped clients set up best-in-class service operations using technologies like Artificial Intelligence, Automation/Robotics, IoT/Industry 4.0, and DevOps/Agile.
