What we say on AI, matters: 10K+ research views- TSPs & EUs
VISIBILITY: 10K+ research views in <2 days
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.
We are the AI & data practices bridge between end-user leaders and their TSP partners, to build impactful & winning AI success stories:
https://in-resources.awscloud.com/the-art-science-of-ai-storytelling
6 months & not a baby: 10+ key engagements
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 clients to AI-SWITCH their zero-sum games, into winning moves, working as AI Practice Partners with world's top TSPs, Research firms, Telco's, Manufacturing, FS & FMCG.
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