“Companies need guidance on how to experiment, pilot and adopt AI ethically and securely. ”
As a software industry CEO, I am excited about the power and potential of AI. Yet AI could go from a rising tide that lifts all boats to a perfect storm of unmanageable risk unless it is given effective guardrails and governance. With the surge in generative AI applications this year, executives in every boardroom are asking the critical question as they plan for 2024: “What does AI mean for my business?”
The promise of profound new types of productivity and unimaginable intelligence is significant, but with that potential also comes unprecedented fear. Leaders face uncertainty about how to adapt to the technology, optimize it and ultimately harness its power. I am a big believer in unleashing AI-powered innovation and putting it into the hands of as many people as possible to unlock capabilities we’ve never seen or imagined before. But just as quickly, companies need guidance on how to experiment, pilot and adopt AI ethically and securely. Here’s an AI governance roadmap for leaders to guide their efforts in 2024 and beyond: 1. Trusted data: In my world, so-called unstructured data requires refinement, cleaning and sorting to capture nuggets of business intelligence. But AI is only as good as the data that’s powering it, and so the first step of strong AI governance is to ensure you can trust the data itself. According to a recent survey conducted by the Eckerson Group, 46% of data leaders said that their organization lacks adequate data quality and data governance controls. Even then, most business leaders are not striving for adequate – they are striving for excellence. What does that look like? High-quality data is accurate, complete, consistent, timely, valid and unique. For example, in the healthcare industry, it’s essential to have complete, correct and unique patient records with no duplication to ensure …
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“Companies need guidance on how to experiment, pilot and adopt AI ethically and securely. ”
As a software industry CEO, I am excited about the power and potential of AI. Yet AI could go from a rising tide that lifts all boats to a perfect storm of unmanageable risk unless it is given effective guardrails and governance. With the surge in generative AI applications this year, executives in every boardroom are asking the critical question as they plan for 2024: “What does AI mean for my business?”
The promise of profound new types of productivity and unimaginable intelligence is significant, but with that potential also comes unprecedented fear. Leaders face uncertainty about how to adapt to the technology, optimize it and ultimately harness its power. I am a big believer in unleashing AI-powered innovation and putting it into the hands of as many people as possible to unlock capabilities we’ve never seen or imagined before. But just as quickly, companies need guidance on how to experiment, pilot and adopt AI ethically and securely. Here’s an AI governance roadmap for leaders to guide their efforts in 2024 and beyond: 1. Trusted data: In my world, so-called unstructured data requires refinement, cleaning and sorting to capture nuggets of business intelligence. But AI is only as good as the data that’s powering it, and so the first step of strong AI governance is to ensure you can trust the data itself. According to a recent survey conducted by the Eckerson Group, 46% of data leaders said that their organization lacks adequate data quality and data governance controls. Even then, most business leaders are not striving for adequate – they are striving for excellence. What does that look like? High-quality data is accurate, complete, consistent, timely, valid and unique. For example, in the healthcare industry, it’s essential to have complete, correct and unique patient records with no duplication to ensure …nnDiscussion:nn” ai_name=”RocketNews AI: ” start_sentence=”Can I tell you more about this article?” text_input_placeholder=”Type ‘Yes'”]