Data is the fuel for AI. Like any engine, left untended it will sputter and stall. So it is vital that Leaders invest in data governance, security, and scalable architecture. Just like a powerful engine needs clean fuel, AI relies on high-quality data. Data governance ensures data collection, storage, and usage are ethical and efficient. A scalable architecture will allow your AI systems to handle increasing data volumes and user demands. In this topic, we help leaders understand this vital element of AI because, without these crucial elements, your AI efforts will struggle to perform at their best.
By María de las Nieves Hernandez Solano Business Development Manager for Data Sovereignty, AWS
Faris Haddad, AABG Data & Insights lead, Amazon Web Services
Abby Eaton, Aitemology®
August 2024
AI data transformation can be focused on creating a safer, more efficient, and sustainable supply chain and logistics. At Anaeko, we work with transport and logistics companies to help them analyse and share data effectively. From a safety perspective, the goal is to reduce incidents […]
August 2024
In an era where efficiency and accuracy are paramount, the digitisation of healthcare processes is no longer a luxury but a necessity. One critical process ripe for transformation is the Continuing Healthcare (CHC) process. By digitising this process, Integrated Care Systems (ICS) can unlock significant […]
July 2024
The transport and mobility sector is undergoing profound transformation, spurred by changing needs and attitudes, net zero de-carbonisation policies, Mobility as a Service offerings, connected and automated vehicles, and tighter competition. Much of this transformation is data-driven – the range and volume of data that […]
June 2024
Every leader is a data leader. I’ll say it louder for those in the back… EVERY leader is a data leader. From revenue and strategy teams to operations and people teams, there is no business function that can afford to not harness it’s functional and […]
May 2024
For many companies, data wins start simple… albeit powerfully. Businesses invest in standing up baseline data foundations (e.g. data collection and storage, quality, literacy training, tools adoption etc.) so that they can start knocking out wins such as…. Establishing trackable KPIs/OKRs at departmental levels Using […]
January 2024
Bubble or not bubble, AI is here to stay. And we need to be able to have increased confidence in its outputs and prevent potential harms. To do that, new fields are emerging, fields that are increasingly naturally intersecting without doing so : AI safety […]
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