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Carrying the classic research legacy of actionable, grounded, evidence-based guidance, we @AISWITCH know exactly what challenges the end-user leaders are facing in their AI-automation-data-cloud journeys, and how the TSP's are trying to deliver to net new demands, to stay relevant. In partnership with global research & advisory firms like ISG, F&S, Third Eye, AISWITCH helps build AI & data practice bridges between end-user leaders and their TSP partners: e.g.
https://in-resources.awscloud.com/the-art-science-of-ai-storytelling
10+ consulting/ advisory engagements, 8+ large research projects delivered < 1 yr
Jeffrey Archer makes a statement for William Warwick, on ABC of governance: "Accept nothing. Believe no one. Challenge everything". The exact same ABCs work in data-AI governance, for limited AI-leveraged organizations creating invisible "code ceilings".
We are helping top global TSP & EU clients to AI-SWITCH their zero-sum games, into winning moves, working as AI Practice Partners.
AI-automation practice white-spaces
Why AI & automation assets & services require different process management frameworks?
Traditional frameworks like ITIL & ISO 20000 don't address many issues in AI-automation management:
- Strategy, technology & provider selection
- Relevant skills, resources, experience, performance, KPI
- Tectonic shift in culture- what computers did 70 years ago.
The internal challenges within the AI & automation solutions tech-stacks
The change, configuration, release management processes for AI-automation are different from typical IT service assets:
- Major changes in training & testing data
- Workflow changes
- Changes in hyper-parameters & algo's