A lack of organizational agility can hamper industrial competitiveness across many levels, and corporations have swiftly turned to artificial intelligence to accelerate their responsiveness. AI aims to simulate human intelligence processes, automating many of the decision-making and operational elements that people are currently responsible for. As an executive-level concern, AI innovations are driving enterprise initiatives, but IT support and management of these deployments must be considered to ensure they are as effective as possible without causing potential harm to the company workflows. Data strategy should incorporate AI elements, strategic partnerships with cloud providers and software-based management.
- Making AI work for your organization requires having an underlying tech stack for proper solution development and deployment
- Organizations should test the value of AI through commercial solutions with built-in AI capabilities
- Use a combination of commercial, custom and open-source technologies to build and deploy AI projects
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