In the not-too-distant future, we’ll have access to newly created material via a simple, intuitive generative AI search function that learns from past data how to identify, extract and present information.
Not only can generative artificial intelligence (AI) execute information searches and engage in human-like discussions, but it can also produce unique material. This will permanently alter the way business intelligence and transformation projects are carried out.
a year added to the global economy from generative AI
of employees time could be automated using generative AI
of drug discovery and development initiatives will use AI by 2025
Implement search and summarisation by producing insights from phone conversations, developing personalised learning plan, and summarising information from documents, videos and chat data
Use semantic searches to get photos, documents, videos, and audio from documents, data and other sources
Using large-language models that produce text, photos and videos to aid in creating personalised suggestions and content, rapidly and correctly generate new material
To increase the effectiveness of AI/machine learning models with limited data sets for training, use generative AI models, such as LLMs and stable diffusion, to enhance current data sets or build data sets from scratch
To streamline your development lifecycle, use tools that create code using natural language queries, such as SQL, Python, Javascript and shell script
Identify the best use cases and opportunities for generative AI in your business
Design and develop custom generative AI solutions that meet your specific needs and requirements
Integrate and deploy generative AI solutions seamlessly into your existing systems and workflows
Monitor and maintain generative AI solutions to ensure optimal performance and quality
Train and support your team to use generative AI solutions effectively and safely
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