A 2022 McKinsey survey shows that AI adoption has more than doubled over the past five years, and investment in AI is increasing apace. It’s clear that generative AI tools like ChatGPT (the GPT stands for generative pretrained transformer) and image generator DALL-E (its name a mashup of...
Generative AI has hit the ground running—so fast that it can feel hard to keep up. Here’s a quick take pulled from our top articles and reports on the subject.
Generative AI Explained For businesses large and small, the seemingly magical promise of generative AI is that it can bring the benefits of technology automation to knowledge work. Or, as a McKinsey report put it, “activities involving decision making and collaboration, which previously had the lo...
January 2023McKinsey ExplainersWhat is generative AIGenerative artificial intelligence AI describes algorithms such as C
LLM training is designed to interpret, understand and return natural-sounding text-based responses. The more comprehensive the data set used for large language model training, the more ‘naturalistic’ the result. McKinsey predicts that generative AI “could add the equivalent of $2.6 trillion to ...
Generative AI is artificial intelligence that can generate novel content, rather than simply analyzing or acting on existing data. AI (short for artificial intelligence) broadly refers to the idea of computers that can learn and make decisions in a human-like way. Machine learning is asubfield of...
4 Main Use Cases of Generative AI You’ve resolved the question: “What is Generative AI?” and discovered how it differs from traditional AI. But in what use cases is this advanced AI applied? McKinseyreported that the influence of Generative AI on productivity could add up to USD 4.4 tri...
firm McKinsey, one third of organizations are already using generative AI regularly in at least one business function.¹ Industry analyst Gartner projects more than 80% of organizations will have deployed generative AI applications or used generative AI application programming interfaces (APIs) by ...
Con: There may be a need for new regulations and legal frameworks to ensure that it's used responsibly and ethically as Gen AI becomes more pervasive in various industries. The pros and cons of generative AI must be compared to determine whether the use of Gen AI is beneficial. ...
Generative design and AI AI, XR, and emerging technologies are drastically reshaping the generative design landscape, pushing the boundaries of efficiency, innovation, and collaboration.McKinsey’s projectionthat generative AI could deliver between $2.6 to $4.4 trillion in productivity value underscores it...