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Enterprise AI Success Hinges on Workflow, Not Just Models

By PulseAugur Editorial · [1 sources] ·

Enterprise AI adoption should prioritize improving existing business workflows rather than selecting an AI model first. Focusing on the entire process, such as accounts payable, rather than just isolated tasks like data extraction, is crucial for demonstrating value. AI should be integrated into enterprise systems like ERPs to make outputs operational, and the decision to use AI should stem from clearly defined business problems, not just the availability of advanced technology. AI

IMPACT Emphasizes integrating AI into existing business processes for tangible value, rather than focusing solely on model selection.

RANK_REASON Opinion piece from a Forbes contributor discussing best practices for enterprise AI adoption.

Read on Forbes — Innovation →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Enterprise AI Success Hinges on Workflow, Not Just Models

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Opinion piece from a Forbes contributor discussing best practices for enterprise AI adoption.
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COVERAGE [1]

  1. Forbes — Innovation TIER_1 English(EN) · Eranda Maldeniya, Forbes Councils Member ·

    Enterprise AI Should Start With The Workflow, Not The Model

    Enterprise AI should begin with a business problem, a clearly understood workflow and an outcome that can be measured.

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