Over half of participants using AI at work experienced a 30% increase in productivity, and there are beginner-friendly ways to integrate generative AI into existing tools such as GrammarlyGo, Slack apps like DailyBot and Felix, and Canva's AI-powered design tools.
Generative AI models like ChatGPT are expected to augment job roles rather than replace them, according to an IBM study, with executives estimating that 40% of their workforce will need to reskill in the next three years due to AI implementation. The study also found that tech adopters who successfully reskill experience a 15% revenue growth rate premium on average and a 36% higher revenue growth rate for those focusing on AI. The new skill paradigm prioritizes people skills like team management and effective communication.
Some companies are hiring AI prompt engineers to help them optimize generative AI technology, but as the tech improves at understanding user prompts, these skills may become less necessary.
Enterprises need to find a way to leverage the power of generative AI without risking the security, privacy, and governance of their sensitive data, and one solution is to bring the large language models (LLMs) to their data within their existing security perimeter, allowing for customization and interaction while maintaining control over their proprietary information.
The surge in generative AI technology is revitalizing the tech industry, attracting significant venture capital funding and leading to job growth in the field.
Context.ai, a company that helps businesses understand how well large language models (LLMs) are performing, has raised $3.5 million in seed funding to develop its service that measures user interactions with LLMs.
Generative AI will become a crucial aspect of software engineering leadership, with over half of all software engineering leader role descriptions expected to explicitly require oversight of generative AI by 2025, according to analysts at Gartner. This expansion of responsibility will include team management, talent management, business development, ethics enforcement, and AI governance.
Generative artificial intelligence, particularly large language models, has the potential to revolutionize various industries and add trillions of dollars of value to the global economy, according to experts, as Chinese companies invest in developing their own AI models and promoting their commercial use.
Dictionary.com has added five new terms related to artificial intelligence (AI) to its dictionary, including "generative AI," "chatbot," and "LLM," reflecting the growing mainstream awareness and usage of AI.
Three big tech companies are predicted to experience significant growth due to their early adoption of generative artificial intelligence, according to a Wall Street analyst.
As generative AI continues to gain attention and interest, business leaders must also focus on other areas of artificial intelligence, machine learning, and automation to effectively lead and adapt to new challenges and opportunities.
Large language models (LLMs) are set to bring fundamental change to companies at a faster pace than expected, with artificial intelligence (AI) reshaping industries and markets, potentially leading to job losses and the spread of fake news, as warned by industry leaders such as Salesforce CEO Marc Benioff and News Corp. CEO Robert Thomson.
AI technology, particularly generative language models, is starting to replace human writers, with the author of this article experiencing firsthand the impact of AI on his own job and the writing industry as a whole.
The World Economic Forum's "The Future of Jobs Report 2023" highlights that AI and machine learning specialists are in high demand, followed by sustainability specialists, business intelligence analysts, and information security analysts, as the fastest-growing roles driven by technology, digitalization, and sustainability.
