When do you think Gen AI will break even from cost invested perspective?
Today the cost of GPU, cooling, etc. has a large impact on the cost of AI but as and when adoption increases the cost should come down.
I would like to understand when will that inflection point come.
It's challenging to predict precisely, but as AI adoption increases, we can surely expect a gradual reduction in costs associated with hardware components like GPUs and cooling. I'd say the exact timing of the inflection point is uncertain.
How important are pilot projects in implementing an industry 4.0 strategy?
Very important.28%
Important.63%
Not necessary.5%
Not important at all.1%
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Currently in our Enterprise Architecture tool and repository, we have a Business Capability Model (BCM) and a Technology Capability Model (TCM). Enabling Applications (e.g., SAP, Salesforce etc.) are mapped to the BCM, and enabling technologies (e.g., API gateway) are mapped to the TCM. However, some capabilities like Data Management are common to both models and we are trying to figure out best way to represent that.
How have you organized your capability model? Is it a single model containing business and technical capabilities or two separate models? If later, how are you organizing common capabilities like Data Management?
Has anybody had experience with digital business cards? We are analyzing https://dotcards.net and would like to get opinions about the business model, options, and benefits on using it.
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It's challenging to predict precisely, but as AI adoption increases, we can surely expect a gradual reduction in costs associated with hardware components like GPUs and cooling. I'd say the exact timing of the inflection point is uncertain.