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How Emerging Technology (e.g., Blockchain, IoT, AI, Machine Learning) can Provide Journeys of Data to Ensure Trustworthy Metrics and Security
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Environmental, social, and governance (ESG) is becoming more and more important in our world today, and underlying data is vital in giving it meaning. Acting as a source of checks and balances, ESG needs a long-term view that promises the existence and sustainability of fundamental organizations over time; partnerships and stakeholder engagement are also required. Nevertheless, ESG is complex and not easily measured. Written for companies seeking to attract ESG investments and become compliant with ESG regulatory requirements, this text discusses the "what" and "why" of the matter, diving into understanding ESG, how disregarding ESG means risk, inconsistent metrics and lack of clarity, and what companies can do to be ESG-investable and ESG-compliant. This book also looks at how emerging technologies can help organize underlying ESG data and add transparency to provide accountability and a holistic view of ESG's impact. Chapter 7 discusses the role technology plays in measuring and improving ESG outcomes. Different frameworks provide context to measure sustainability components against a company's goals. Real estate and transportation-two of the largest contributors to greenhouse gas emissions-are offered as two examples of industries that benefit from the use of data monitoring to measure and influence results. Data journeys captured in a blockchain can help enhance transparency; various technologies, such as cryptography, can reduce cyber risk; and AgriTech solutions can assist in meeting the ever-growing demand for food.