EazyML Responsible AI = Transparency, Accountability, Auditability and Remediation.

Founded by Bell Labs research veterans, and associated with breakthrough startups like Amelia, EazyML, specializes in Transparent Machine Learning.. Early on EazyML founders saw the need for Transparency in AI/ML, and their subsequent research led to the widely acclaimed transparent ML platform, EazyML.
Decision-AI digitizes your business process – not only enhances productivity by automation but equally importantly, helps make better decisions for increased profitability. The challenge though, especially for regulated sectors, is how do you ensure its compliance and report it for audit? Transparency in AI/ML is a must. EazyML’s Transparent/Responsible AI provides the solution for proactive compliance, differentiating from competing ML majors by making Transparency Actionable (suggest a way forward to remedy).
As AI/ML becomes integral to your enterprise, further challenges arise: What if the dynamic business environment causes the model to become stale and misfire? How do you detect it in good time before it adversely impacts your business? What if the experts for a business process disagree with your model’s prediction? How does your model reconcile the difference to earn their trust? Sustainable automation is possible by EazyML’s Transparent AI/ML.
Do a PoC to evaluate, and if you find it helps your business, make the AI/ML easily align with your process for quick benefits while alleviating risks.

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