Support ticket patterns? AI can help #shorts #ivanti

Discover more best practices for establishing ethical AI in Ivanti’s latest research report: ivanti.com/aitsm-report

Building an ethical AI framework. Ivanti CIO Robert Grazioli shares best practices for building trust and responsibility in implementing AI at your organization.

As AI continues to advance, it is crucial to ensure that its deployment aligns with ethical principles and safeguards against potential risks. Grazioli underlines the need for an ethical AI framework, emphasizing that AI is still in its infancy and requires careful consideration of its impact on society.

He advises organizations to address AI ethical concerns early on to prevent unintended consequences and ensure responsible AI development. As an experienced CIO, a few key focus areas he suggests considering when building this ethical AI framework are:

· Establishment of governance committees focused on privacy and data. These AI governance committees aim to define the ethical view on how AI should impact the company and its customers. This committee sets policies and practices for securing and managing data, ensuring it is not misused or compromised.

· Organizing and securing data to enable responsible AI usage. Robert discusses the need for data management tools that allow for governance and control, ensuring that AI accesses the right data at the right time, with appropriate policies in place.

· The potential of AI in addressing skill gaps and configuration issues. AI can analyze patterns in customer tickets, enabling support teams to identify common problems and provide efficient solutions. It can also assist in configuring new products for maximum performance, enhancing overall customer experience.

By establishing governance committees, securing data, and promoting continuous learning, organizations can harness the power of AI while mitigating potential risks.