Explainable AI Solution Consulting Services
Explainable AI Solution
In today’s fast-evolving business landscape, artificial intelligence (AI) has emerged as a pivotal force, driving decisions that wield substantial influence over individual rights, human safety, and the core operations of businesses. Yet, the inner workings of AI models often remain shrouded in mystery, prompting critical inquiries. How do these models arrive at their conclusions? What data fuels their insights? And perhaps most crucially, can we place our trust in the outcomes they deliver?
The pursuit of answers to these fundamental questions lies at the heart of the concept of “explainability.” While a growing number of organizations have initiated steps to gain insights into the reasoning behind AI model outputs, realizing the true potential of AI necessitates a comprehensive approach. As AI continues to gain prominence in driving decision-making processes, achieving transparency and comprehensibility becomes indispensable.
Generative AI
Fortune CEO Survey
50%
Per a recent Fortune CEO Survey, over 50% of the CEO’s expect Generative AI investments to drive operational improvements and growth and their organizations are evaluating / implementing Generative AI solutions
35%
In the same survey, nearly 35% of CEO’s expressed concerns on compliance, risk and security as the obstacles they’re encountering.
The benefits from AI – Predictive and Generative – solutions are reasonably well understood and appreciated, and while organizations are rushing to be “first movers” so they’re not competitively disadvantaged, the concerns around compliance and risk need to be addressed. Many organizations have experienced challenges in scaling their AI initiatives despite spending years and millions of dollars. Some of these challenges stem from
Sage IT’s Explainable AI solution helps organizations build AI models and interpret and explain the results with ease. The solution helps understand the results from the AI model and increase trust in the models, thereby improving the scalability and reducing the risks of regulatory penalties and reputational damage. The following components can be leveraged as a standalone AI solution or can be integrated with any current AI solution.
Data preparation and Rapid Model build
Explainability and Fairness
- Explain what the model is predicting and why
- Run simulations by tweaking variables
- Optimize the model output by understanding the key features impacting the results
Detect, classify and mitigate bias
- Understand “bias” heavy variables based on bias classifications
- Remove such variables and also teach the model how to treat such biases
Rapid Deployment
Security
The solution has been validated and implemented across various use cases in multiple industries.
