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Generative AI vs Machine Learning
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How can technology help us solve problems? That’s the first question your chief artificial intelligence (AI) officer is going to ask. Next, they’ll look at how to deploy technologies that don’t just improve business efficiencies but also work securely and with the right levels of governance.
AI automation technologies like intelligent automation (IA) and generative AI can help organizations streamline workflows, reduce inefficiencies and free up employees from repetitive, time-consuming tasks. What business wouldn’t want those benefits?
But – if automation is so great, why get a chief AI officer at all?
AI technologies are complex. Especially if you’re looking to implement them into your enterprise. You have to consider cost, compliance and ethical impact. This includes continuously monitoring the digital health and human services AI effects. It’s a big responsibility – and a necessary one – which is where your chief AI offer comes in.
A chief AI officer, sometimes called the chief technology officer, is going to provide a single, central point of responsibility for any AI projects in your enterprise. They’re usually a senior executive in the organization, responsible for setting up your overall strategy and AI adoption.
They’re going to put rules in place like:
This is where they ensure data and AI security, adherence to regulatory rules and consistent, standard processes across the organization.
A chief AI officer’s skills should include someone knowledgeable about the technology, with an innovative vision for where artificial intelligence and automation can take you. They’re future-thinking executives who also ensure a solid foundation with security, ethics and governance in mind.
The critical aspect of your chief AI officer’s role is aligning AI initiatives with business objectives to drive organizational change – without sacrificing security and compliance. They ensure a focused, intelligent approach to adopting new technologies and keeping your competitive edge.
Your chief AI officer is also going to perform functions such as:
Interest in AI is spiking, with organizations seeking new ways to boost their place in the market. While AI can be extremely beneficial, it comes with complexities of its own – especially since it’s a rapidly evolving technology. That’s why appointing a leader to guide the technology’s use, compliance and impact is critical.
Another core purpose of implementing a chief AI officer is to keep your competitive edge. Organizations with an advanced automation program are more likely to outperform their competitors by staying agile in a demanding market. Streamlined processes, reduced costs and delivering outstanding customer experiences are made more possible with automation and AI.
Other benefits of having a chief artificial intelligence officer include:
Your chief AI officer won’t just optimize your resources – they’ll drive innovation across your organization, finding a better path to success. By appointing dedicated chief AI executives to your automation initiatives, you can ensure a streamlined strategy with cognitive technology as the driving force.
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