The potential of Artificial Intelligence (AI) has long been recognized by experts, but the launch of OpenAI’s ChatGPT in November 2022 marked a turning point, thrusting AI, especially Generative AI, into the spotlight. With over 100 million users within just two months, the momentum has only grown, inspiring the development of several other chatbots and labeling the 2020s as a “Generative AI Spring.” This transformative period is set to fundamentally reshape science, research, business, and society at large.
In our latest white paper, we look into the growing importance of AI and its expected impact on global economies, projecting a potential contribution of $13 trillion by 2030. At Digital Science, we’ve been at the forefront of this evolution since 2013, investing in pioneering AI methodologies and building a robust portfolio that includes innovations like Dimensions.ai and Writefull, as well as strategic acquisitions such as OntoChem and metaphacts.
This white paper will explore trends in AI research outputs, and reveals a surge in AI-related research, especially after 2020, coinciding with the rise of Generative AI and large language models (LLMs). It breaks down AI jargon, such as natural language processing (NLP), large language models (LLMs), and Generative pretrained transformers (GPTs), and gives an overview of Digital Science’s AI suite, including Dimensions solutions such as Dimensions research GPT and Dimensions’ AI-driven summarization feature, and a snapshot of what other solutions such as OntoChem, metaphacts, Writefull, and ReadCube that also leverage AI. Finally, it underlines the importance of concepts such as data readiness for AI integration.
With insights into the rapid rise of AI research, emerging terminology, and practical solutions like Dimensions Research GPT, this white paper serves as a comprehensive guide for organizations looking to navigate and leverage the AI landscape effectively. Download the white paper to know more!