AI presents great business opportunities, but most of the organisations who have made significant investments in AI have not reported their business gains with AI. According to Gartner and IBM, many organisations underestimate AI complexity.
At Esdha, we help organisations bridge this gap by embedding fairness, transparency, and accountability into their AI systems. The result? Sustainable AI adoption that builds trust with users and stakeholders while ensuring compliance with global regulations.
Our expert solutions are meticulously crafted to cater to the unique needs of businesses at every stage of their AI journey, whether it’s fostering a foundational understanding of AI among staff or advancing proficiency to enhance AI compliance and assurance practices.
With our customised service we help you operationalise responsible AI in healthcare, finance, insurance and government.
Across all sectors, leaders, managers, and key stakeholders are increasingly recognising the importance of fostering an environment where every individual has a fair chance to
Artificial Intelligence (AI) systems can inadvertently replicate and amplify societal biases, especially when trained on skewed or unrepresentative datasets. Addressing fairness in AI begins with
Dataset fairness is a cornerstone of building equitable and responsible AI systems. As AI permeates critical decision-making domains, the risks of biased datasets can lead
In machine learning, features are the inputs that are fed into a model to make predictions. However, not all features contribute equally to the model’s
