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3 ways CIOs should drive the future of work
1. Transform knowledge management with generative AI
ChatGPT and other forms of generative AI have generated a storm of consumer interest that is carrying over into the enterprise. Many marketing departments are embracing content generation, image creation, and video editing to scale their workflows, while Microsoft added ChatGPT capabilities to its office suite, and Google is adding generative AI tools across Workspace.
“Generative AI is reimagining the future of work, from the content we write to the creative we use and how we converse with each other,” says Yishay Carmiel, CEO of Meaning. “While early challenges with accuracy and credibility remain a barrier to entry, generative tech is still proving valuable for enterprises producing content and uncovering valuable information quickly and at scale.”
One area I expect generative AI to impact the future of work significantly is knowledge management and enterprise search experiences. I expect we’ll see the consumerization of search and knowledge management over the next decade, driven by generative and conversational AI capabilities.
Today, most enterprises create, store, and search content across a breadth of tools, including CRMs, CMSes, ecommerce platforms, office suites, and collaboration tools. Employees search for content using primitive keyword search boxes instead of natural language processing and conversational AI capabilities. These capabilities are ripe for transformation, and AI search is a force multiplier when it centralizes information access, addresses tribal knowledge risks, and personalizes employee experiences.
2. Drive self-service capabilities with no-code tech
The first no-code tools for building web applications became available over two decades ago. Today, most organizations use a mix of low-code and no-code tools to build applications, and many support citizen development performed by non-IT employees.
No-code isn’t just for developing apps, as many organizations use no-code self-service business intelligence tools such as Power BI and Tableau to enable a data-driven organization and reduce the reliance on operational spreadsheets. There are also no-code data prep, automation, and integration tools used by marketing, operations, and finance teams with staff and skills to implement technology solutions with little or no IT assistance.