Business sustainability goals are ambitious yet achievable when our organizations tap into the right technology. To understand the challenges and opportunities, we recently spoke with Bill Lobig, VP, Product Management, IBM Automation. Through his insights, we have learned that software for capturing and managing data is essential for progress in ESG (Environmental, Social and Governance) and sustainability objectives, while AI and intelligent automation can increase productivity and reduce costs.
IBM’s Institute for Business Value has recently published The ESG conundrum report that unveiled inadequate data is currently a key challenge for enterprises striving to meet their sustainability goals. To resolve this issue, businesses must implement software that not only highlights, but also accurately captures the data related to emissions and energy outputs. Such data will help in making informed decisions related to their ESG goals and aligning their resources for maximum effectiveness.
Without data, sustainability targets may become invisible, intangible, and eventually, unachievable. By creating a complete record of sustainability performance, companies can also automate ESG reporting while ensuring accuracy and audit-readiness. As such, business leaders should support their organizations’ endeavor to use technology to optimize their sustainability efforts.
IBM has had a long standing commitment to sustainability. With the help of their technology, they have been able to amplify the strengths of their sustinability initiatives while creating long-term business solutions. Bill Lobig is a VP in the Product Management team at IBM Automation, where he leads the development of enterprise-level software in order to improve sustainability performance across the company’s global operations. He is an advocate of data-driven decision making and promotes the use of software in order to help capture and manage data related to ESG and sustainability objectives.
