AI AND BIG DATA
“ Generative AI will only be as good as the data that you can put in ”
DOM COULDWELL HEAD OF FIELD ENGINEERING EMEA , DATASTAX
sensor data from IoT devices can be chunked for real-time monitoring and predictive maintenance , optimising operational efficiency .
Deloitte Research Leader Chris Areknberg says : “ If data is the new oil , as many have said , large language models ( LLMs ) and diffusion models may offer a higher-performance engine to help make it work . Many companies have accumulated large amounts of
data that generative AI can help them operationalise . Generative AI ( Gen AI ) can offer them a better lens on their data , combining a conversational and visual interface with the ability to reckon with vast troves of data far beyond human reasoning . Gazing across 2024 , more companies may see the influence of Gen AI not only on their operations and product lines but also within their C-suite and boardrooms .”
Dom Couldwell , Head of Field Engineering , EMEA at DataStax adds : “ When you get started with Gen AI , you might be happy to use the responses that a public LLM can prepare for you . However , if you want to provide more value to your customers you ’ ll need to leverage your own company data around products and customers to personalise results . To achieve this , you will have to prepare your data for Retrieval Augmented Generation , or RAG .”
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