We have made significant improvements over the last 30 years and will continue to always report transparently on impacts and our progress. IBM began detailed tracking and monitoring of our environmental footprint in 1990 - being forthright and transparent in our impact long before it was fashionable or required. We assess proposed technical solutions against efficient energy usage.

In 2020 IBM launched the puting() initiative, which addresses modern computing challenges and integrates aspects of sustainability, climate, ethics, openness, privacy and security. In some locations, a ‘Environmental Business Resource Group’ promotes sustainability and plans community-based volunteer work. To influence staff, suppliers, customers and communities through the delivery of the contract to support environmental protection and improvement, we include Social Responsibility and Environmental Management requirements in subcontracts, and encourage staff to work with the wider teams on improvements. Local initiatives are in place around IBM locations, including on shared or zero-carbon travel, with various cycle-to-work and car-share initiatives and incentives, and through environmentally focused volunteering. In fulfilling our responsibilities under our contracts, our staff operate in line with our IBM Environmental Policy and implemented through our worldwide Environmental Management System (EMS), which covers objectives including achieving our net zero greenhouse gas commitment, reduction in water use, reduction in waste going to landfill, creating green space, enhancing the natural environment and improving air quality. The IBM UK Carbon Reduction Plan (CRP) is published annually in which we report progress in achieving Net Zero. On this path, IBM are on track to have reduced greenhouse gas emissions by 65% (against 2010 base) in 2025, and 75% of our global electricity consumption will be from renewables by 2025. In February 2021, IBM committed to achieving net zero greenhouse gas emissions globally by 2030. IBM Services teams also have dedicated executives and teams who are responsible for information and physical security in the delivery of our client services. Responsibility and accountability for executing internal security programs is established through formal documented policies. IBM has a dedicated Vice President of IT Security who leads a team responsible for IBM's own enterprise data security standards and practices. Such are reviewed by a cross-company team led by the IT Risk organization every six months. IBM’s IT Security policy is supplemented by standards and guidelines, such as the Security Standards for IBM's Infrastructure, the Security and Use Standards for IBM Employees and the Security Guidelines for Outsourced Business Services. IBM has an Information Technology (IT) Security policy that establishes the requirements for the protection of IBM's worldwide IT systems and the information assets they contain, including networks and computing devices such as servers, workstations, host computers, application programs, web services, and telephone systems within the IBM infrastructure. Information security policies and processes Infuse Watson AI into business applications and processes.Use business friendly tools for machine learning.Adapt and customise to work in specific domains.Find patterns and meaning in unstructured data.Quickly build and deploy AI applications trained by business users.Access Watson APIs through IBM Cloud or other clouds.Natural Language Classifier - text classification made easy.Language Translator - between English and multiple languages.Watson Knowledge Studio - teach Watson domain language.Text to Speech - convert written text into natural-sounding audio.Speech to Text - transform voice into written text accurately.Natural Language Understanding - deep insights into meaning of text.Watson Discovery - enterprise AI-powered search and text analytics.Watson Assistant - conversational AI voice or text chatbots/virtual assistant.Infuse AI into your applications to make more accurate predictions, automate decisions and processes, and optimize your team’s time. Get deep insights from your data, interact with customers and employees on their terms, and train your AI systems on the language of your industry.

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