- Investorsexpect new sources of growth and better margins.
- Customerswill leverage generative AI (GenAI) in their daily lives — and expect you to do the same.
- Employeeswill leave organizations where humans are doing work that generative AI could handle.
- Gartner client?Log infor personalized search results.
What Generative AI Means for Business
一位高管在20的指南tanding, Implementing and Planning for the Future of GenAI
Business Leaders Face 3 New Sets of Expectations — and Generative AI Can Help
The main challenges for executives are identifying where and how generative AI fits into existing and future business and operating models, how to experiment productively with GenAI use cases, and how to prepare for the longer-term disruptions and opportunities resulting from GenAI trends.
Gartner Predictions for Generative AI
Before long, GenAI will greatly impact product development, customer experience, employee productivity and innovation. We predict that:
By 2025, 70% of enterprises will identify the sustainable and ethical use of AI among their top concerns.
By 2025, 35% of large organizations will have a chief AI officer who reports to the CEO or COO.
By 2025, the use of synthetic data will reduce the volume of real data needed for machine learning by 70%.
By 2025, 30% of outbound marketing messages from large organizations will be synthetically generated. That’s up from less than 2% in 2022.
Through 2026, despite all the advancements in AI, the impact on global jobs will be neutral — there will not be a net decrease or increase.
By 2030, AI could reduce global CO2 emissions by 5 to 15% and consume up to 3.5% of the world’s electricity.
By 2030, decisions made by AI agents without human oversight will cause $100 billion in losses from asset damage.
By 2033, AI solutions will result in more than half a billion net-new human jobs.
Understand Generative AI
Explore what you need to know to get started — and move forward — with generative AI in your enterprise.
Implement Generative AI
To implement GenAI in your business, you must identify feasible use cases and make sure to remove roadblocks to capturing the value of this key driver of innovation and growth.
Get Foresight Into Generative AI
We should not treat AI as just a technology or a business case. AI is shaping our society and changing what it means to be human.
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Better Understand Generative AI through Machine, Artificial and Human Intelligence
In the fifth episode of Top of Mind, Gartner Chief of Research Chris Howard explores the evolution of intelligence — including generative, machine, human, swarm and artificial intelligence — and why understanding this is crucial to unlock the full potential of AI and humans.
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The Gartner Hype Cycle, Generative AI and the Future of AI
In the fourth episode of Top of Mind, Gartner Chief of Research Chris Howard discusses where generative AI is on the Gartner Hype Cycle. He also addresses the significance and possibilities of AGI, the advancements made so far, and the potential ethical and societal ramifications we may face.
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Will Generative AI Replace Humans — and Other Big Questions
In the third episode of Top of Mind, Gartner Chief of Research Chris Howard explores the inevitable questions: Will this generative AI replace humans? Is it too risky to use? What’s the right level of governance?
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The Journey of GenAI: From Fascination to Implementation
In the second episode of Top of Mind, Gartner Global Chief of Research Chris Howard, explores how humans relate to machines, why language itself is the key technology that underpins our evolving relationship to AI, the promise of generative AI, and how we can use it to make better decisions and reach more favorable outcomes.
ChatGPT, LLMs & Generative AI: Is This an Inflection Point?
In the premiere of Top of Mind, Gartner Global Chief of Research Chris Howard, explores how and why ChatGPT has taken the world by storm. He dives into the opportunities and pitfalls with generative AI, and the crucial role humans will play in harnessing this technology.
Generative AI and Education: The Short-Term Risks and Long-Term Opportunities
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首先需要建立tru教育者和机构st in the technology and determine how to handle short-term anxieties. Then students can learn how to interact with generative AI tools, and use them to emphasize creativity and improve their time management to learn more efficiently.