The impact of AI will be and is enormous. Yet today, only 15% of businesses and IT decision-makers believe they have the necessary expertise in this rapidly evolving field. *
*Google Cloud Gen AI Benchmarking Study, July 2023.
However , if you can’t wait we provide you with this comprehensive guide from our partner Google Cloud that will not only bring you up to speed, but will help you chart a clear path to adopting generative AI in your enterprise.
The key points you will find are:
- A quick introduction to generative AI.
- A 30-day step-by-step guide to get started.
- KPIs to measure the impact of generative AI.
- Industry-specific use cases and customer stories from Deutsche Bank, TIME, etc.
A quick introduction to generative AI
Generative AI marks a revolution comparable to the advent of the Internet or the mobile device. Its impact on business productivity is monumental. In fact, 82% of organizations considering or using AI believe it will significantly change their industries.
What sets generative AI apart is its ease of use. Anyone who can ask a search engine a question can interact with it. This technology enables interaction with chatbots, or virtual agents, capable of answering questions, creating content, producing images and more.
A single generative AI platform can offer solutions for multiple use cases, creating a network effect. As the number of users and applications increases, the model becomes more accurate and useful. Organizations that use it to accelerate, automate, scale and improve business processes can reap huge benefits.
According to McKinsey & Company, the impact of generative AI could add between $2.6 trillion and $4.4 trillion annually to the global economy.
But we must keep in mind that no technology can eliminate the fundamental aspects of each sector’s core value proposition and value chain. After all, in healthcare, for example, you are still trying to improve patient care. What may change, however, is how you use this technology to enable your teams to improve core offerings, and how you solve fundamental problems through AI. In fact, with the right tools, it could even identify and deliver new points of difference.
Basic capabilities and applications of AI
The core capabilities of generative artificial intelligence focus on four key areas: creation, summarization, discovery and automation.
- Create
- Summarize
- Discover
- Automate
These capabilities not only define the potential of generative AI, but also open up a world of possibilities for innovation and efficiency in various applications and industries.
These are the top 4 applications where AI is used:
- Chats
- Search
- Content generation
- Associative reasoning
The essence of AI is to deliver natural interactions by being used to improve communication with customers, train employees and many more use cases yet to be discovered. Its capabilities seem limitless and demonstrate the versatile and powerful impact of generative AI on various aspects of interaction and productivity.
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