In 2023, organizations like HR, IT, and customer service are leveraging generative AI for tasks like summarization and code generation to boost efficiency. A Gartner survey shows that 55% of organizations are exploring generative AI.
CEOs are recognizing generative AI as a crucial tool for staying competitive, with 75% believing it is essential for an advantage. Multimodal models and automation agents are expanding the use cases for generative AI in businesses.
By 2024, enterprise leaders will be urged to integrate generative AI into their operations. The IBM Institute for Business Value found that CEOs are facing pressure to accelerate AI adoption. Ethical concerns around generative AI adoption are also rising.
To be successful with generative AI, businesses need reliable models, solid governance, and flexible deployment options. Metrics can help measure performance and cost-benefit measures can guide model selection.
Generative AI technology is advancing quickly, prompting regulators to draft laws ensuring responsible AI use. Companies need to prioritize ethics and customer trust.
IBM is offering enterprise-grade model options with a focus on transparency and performance. IBM’s Granite models are tailored to specific business domains and offer competitive performance with lower costs.
IBM’s Watsonx platform provides a range of model options, including open source and third-party models, for clients to access. Through a hybrid cloud approach, clients can deploy models on their preferred infrastructure.
IBM is committed to delivering enterprise-grade generative AI solutions to clients, with a focus on ethics and risk profiles. The company’s Granite models prioritize trust and transparency in the model training process.
If you’re ready to explore generative AI with IBM, you can sign up for a trial on the watsonx.ai platform. Keep an eye out for more updates in the “Enterprise Generative AI Made Simple” series.
Article Source
https://www.ibm.com/blog/announcement/enterprise-generative-ai-made-simple/
