A Year of Generative AI, in 12 Charts
As we approach the one-year anniversary of ChatGPT’s launch, we're taking a moment to reflect on the transformative year it's been in the world of AI and the future of work. From the birth of baby-GPT, into its awkward adolescence. Does anyone else think we should send Sam Altman a card on Mother’s Day? Here's a curated list of some of our favorite charts to recap this year’s AI revolution:?
There’s a Massive AI Skills Gap in Enterprise?
Why You Should Care: Think you're an AI expert? Most executives think they are too. Turns out only 28% of enterprise teams already have the necessary competencies in generative AI skill sets. Read more
Can LLMs Provide Useful Feedback in Scientific Research?
Why You Should Care: Peer review is the bedrock of scientific progress, but it's also a bottleneck. With the number of submissions to conferences like ICLR skyrocketing—from 960 in 2018 to nearly 5,000 in 2023—the system is strained. Enter LLMs… Read more
Are LLMs Situationally Aware?
Why You Should Care: Ever wondered if AI can understand context like a human? A recent study, fine-tuned models without giving them examples or demonstrations and found that, surprisingly, the models passed the tests. Read more
The Key to AI Adoption within the Enterprise
Why You Should Care: Despite AI being hailed as the next big revenue engine—with 57% of enterprise leaders reporting that their boards are expecting a double-digit increase in revenue from AI/ML investments in the coming fiscal year—more than half of all C-level execs admit they're under-resourced to meet the sky-high expectations for generative AI innovation. Read more
The Generative AI Talent Gold Rush
Why You Should Care: Think Big Tech is leading the charge in Generative AI salaries? Think again. The AI arms race isn't just about having the right technology; it's about having the right team to deploy it effectively. Read more
AI's Impact On Disease Prediction & Personalized Treatments
Why You Should Care: Ever tried transferring medical records? It's a headache. But according to experts like Ed Kopetsky, the former CIO of Stanford Children's, the next frontier of healthcare involves using this historical data to shape the industry’s future. Read more
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ChatGPT’s Enterprise Takeover
Why You Should Care: If you're still using a 10-step guide for AI integration, you're doing it wrong. We broke down McKinsey's 9 steps to AI mastery in the enterprise. Read more
America's AI Curriculum
Why You Should Care: The World Economic Forum estimates 83M jobs worldwide will be lost in the next five years because of AI. But 69M jobs will also be created. They also predict that 44% of workers' core skills will change in that time frame.? Read more
LLMs for Idea Generation in Innovation
Why You Should Care: In a study comparing the idea-generating abilities of ChatGPT-4 with students from top universities in the country, ChatGPT-4 proved to churn out a whopping 200 ideas in just fifteen minutes. A person can only muster about five. But it's not just about the quantity, the quality of ideas generated by ChatGPT-4 also surpassed those conceived by humans. Read more
Just How Productive Does Generative AI Make Us?
Why You Should Care:A decade ago, McKinsey estimated that knowledge workers spent about 20% of their time, or one day each work week, searching for and gathering information. How much has Generative AI changed that? Read more
Have You Noticed the AI Vibe Shift?
Why You Should Care: According to a recent IDC global survey, only one-third of organizations cited that they were experts at being able to get full value from their data. As data becomes more complex, here’s how Enterprises will use Generative AI to foster a data culture. Read more
AI Takes Wall Street: 5 Use Cases for Gen AI in Fintech
Why You Should Care: Wall Street is old news; AI is the new trading floor. We dissected the financial sector's AI adoption and why you should be doing the math. Read more
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