In Oct 2023, High Digital won the contract to deliver Data Analytics and ESG reporting for Cold Solutions’ East African temperature-controlled warehouse and logistics project. The key to their winning pitch is the combination of data management and AI to drive the reporting. We spoke to Oliver about this success, artificial intelligence, and the importance of data.
High Digital recently secured a significant contract with Cold Solutions for their East African project. Could you share some insights into what makes your approach stand out in the field of Data Analytics and ESG reporting?
Oliver: We are thrilled to be part of such a groundbreaking project. What set us apart in the pitch was our integration of data management and AI to drive the reporting process. It is an exciting opportunity for us to leverage our expertise and contribute to a state-of-the-art initiative.
AI’s role in ESG reporting has become increasingly prominent. How do you see AI playing a pivotal role in scaling up and improving ESG reporting, especially considering The World Economic Forum’s recent assessment?
Of course. AI has become central to discussions on scaling ESG reporting. The assessment earlier this year emphasised the indispensable role of AI in meeting ESG goals. It is a tool that, when used responsibly, will transform the way we approach and achieve these objectives.
Amid the excitement about AI, there are valid concerns such as job displacement, algorithmic bias, and privacy and security risks. How does High Digital plan to address and manage these issues?
Acknowledging these concerns is crucial. At High Digital, we are committed to responsible AI implementation. We understand the potential pitfalls and actively work to mitigate job displacement concerns through upskilling initiatives. We also prioritise algorithmic transparency, privacy, and security in our AI systems, ensuring a balanced and ethical approach.
Let us delve into the specific pillars of ESG—Environmental, Social, and Governance. Starting with Environmental, how does AI contribute to measuring and assessing environmental performance, especially in complex scenarios like the cold-chain industry?
Oliver: Tracking emissions can be challenging. AI reporting systems play a crucial role by incorporating public data and utilising models to provide insights based on agreed rules and assumptions. This allows us to address the complexities of emissions tracking and contribute to a more sustainable environmental performance.
Moving on to the Social aspect, how can AI and machine learning contribute to achieving social targets, especially in monitoring human rights violations and unsafe working conditions across the supply chain?
Oliver: Social targets, especially those related to human rights and working conditions, are complex but critical. AI and machine learning are powerful tools in this context, enabling efficient monitoring of disparate data sources. By flagging anomalies and predicting patterns, AI can significantly reduce the time and resources required to address social targets, contributing to a more ethical and responsible supply chain.
Finally, in terms of Governance, how does AI assist businesses operating in multiple countries, ensuring governance consistency while managing diverse operations?
Oliver: Governance consistency is challenging but essential for businesses with operations in multiple countries. AI plays a key role in managing governance structures and next-generation risk modelling. For instance, in Cold Solutions’ case, with operations across East Africa, AI helps deliver a single view with data sovereignty baked in. This ensures real-time insights and reports, contributing to consistent governance across entities.
To summarise, how do you see AI’s overall impact on delivering transformative ESG reporting for businesses and their external stakeholders?
Oliver: AI’s ability to manage vast amounts of data and provide accurate insights is pivotal in delivering transformative ESG reporting. It not only identifies opportunities but also helps pre-empt problems, contributing to a more informed and sustainable business approach that benefits both the company and its external stakeholders.
High Digital’s role in this transformative project and the broader implications of AI in ESG reporting will no doubt be impactful in the future of industry. Head to the website to learn more about, High Digital, a London-based software development business that focuses on building data products.
