Generative AI Explained

Generative AI involves using machine learning algorithms  to create new content such as images music   text software code or even designing  new structures or products it is the   fastest growing of five Advanced AI capabilities  within our artificial intelligence value chain   the generative AI landscape is continuously  evolving and can be divided into six key areas   image code text video speech and Design chat gbt  a buzzword in the tech world right now is a large   language model or llm developed by open AI llms  are designed to learn from vast amounts of Text   data and use that knowledge to generate responses  to questions or prompts with human fluency while chatbots have been around for some time chat  GPT goes beyond typical query answering features   based on user input for instance it can generate  and debug codes write essays and provide detailed   explanations generative AI could have an impact  across business processes and across sectors   some key use cases include advanced  search Asset Management content   creation contract management customer  management and data augmentation   as well as Dynamic interaction generative design  process management and product development   the generative AI Market is nascent in terms  of commercial deployments however due to its   disruptive potential the market is attracting  significant investment from both established   Tech players and startups open AI has emerged  as the most prominent startup in the generative   AI landscape with image generator dial e  and chat GPT launched in December 2022 big   tech companies such as Google and Microsoft are  increasingly aggressive in the generative AI space Microsoft has integrated chat GPT within its Bing  search engine and Edge web browser while Google   has launched The Bard AI chatbot Salesforce has  developed Einstein GPT which creates sales and   marketing content it also announced a 250 million  dollar fund to foster a startup ecosystem in   generative AI Adobe and Nvidia have partnered  to co-develop a new generation of advanced   generative AI models developments in this space  are happening at a pace that makes it difficult   for Regulators to keep up however regulations are  being considered as concerns over data privacy   misinformation and cyber security grow in an  unstable World foresight is crucial for success thank you

Channel: GlobalData Trends & Insight

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Id: vneJieU5qlg

Length: 3min 13sec (193 seconds)

Published: Fri May 12 2023