Recently I published an article in Forbes Tech Council highlighting 7 key areas to pay attention to in GenAI, and happy to say I included as one of those 7 areas the rise of multimodal capabilities. Something we all saw impressively in the demos these last few days.
7 key areas in GenAI
Organizational changes
Companies are exploring optimal AI leadership structures, either appointing a Chief AI Officer (CAIO) or distributing AI responsibilities across departments.
Maturing enterprise stack
Companies are exploring optimal AI leadership structures, either appointing a Chief AI Officer (CAIO) or distributing AI responsibilities across departments.
Infrastructure developments (GPUs)
The shortage of GPU chips for AI computation forces companies to rely on cloud solutions and consider emerging chip providers.
Multimodal capabilities
Advances in AI that combine text, audio, video, and images have significant implications, such as AI-powered machines in assembly lines.
The role of Data Leaders
Chief Data Officers (CDOs) are crucial in managing data pipelines, compliance, security, and integrating data for GenAI use.
Prioritizing horizontals in the enterprise
Executives are focusing AI investments on company-wide functions like customer service, marketing, and finance rather than specific divisions.
Addressing the hallucination problem
Companies are working to reduce AI-generated inaccuracies, often by involving human oversight.
Have a read if you want to double click on this: Seven Key GenAI Areas To Consider In 2024