Exploring AI Growth: Trends, Ethics, and Applied Strategies
Discover the major growth trends in AI, including embedded, ethical, creative, and autonomous AI development. Learn about how these trends impact product management and ethical considerations for integrating AI into business operations.
In this lesson, we will be taking a look at some of the growth areas of AI from some of the most prominent research and consulting groups. Understanding what the signals are saying gives us the motivation and foresight to be able to anticipate some of the greatest opportunities that lie ahead. This is particularly helpful in the context of revolutionizing a business or product toward AI because many product managers and technologists may be at odds about which specific areas of a product or service they might want to begin bolstering with AI capabilities.
Some of the top growth areas we will look at based on the conglomeration of research and trend analysis from Forrester, Gartner, and McKinsey are embedded AI, ethical AI, creative AI, and autonomous AI development. Embedded AI will look at AI that’s applied and integrated into the operations of organizations and foundations of products. Ethical AI will look at considerations of responsibility and privacy in AI deployment. Creative AI will look at generative and Web3 use cases of AI. Autonomous development will look at the growing field of AI-generated code. All of these are strategic growth areas for AI adoption, according to some of the most reputable organizations we have for predicting trends.
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The power of embedded AI
Embedded AI relates to AI being integrated into core operational activities within a business. If our product is geared towards B2B internal processes such as architecture, operations, fulfillment, supply chain, HR, or procurement, we might be interested in bolstering our ...
