Aug. 31, 2023, 11:57 a.m. | Gordon Frayne

Hacker Noon - ai hackernoon.com

AI making strides but true disruption of established industries still limited
Switching costs and institutional inertia create barriers to rapid change
Regulatory hurdles and talent scarcity also constrain AI adoption
Many critical tasks still favor human judgment over AI capabilities
Legal and manufacturing case studies show gradual integration rather than overnight transformation
Pragmatic assessment of AI's current abilities needed, not overhyped expectations
AI can drive value by augmenting human skills, not just replacing workers
Companies must thoughtfully adapt processes and …

adoption ai ai adoption ai applications ai capabilities automation businesses business strategy capabilities case case studies change costs disruption future-of-ai future of work human industries integration job-security judgment legal making manufacturing school show studies talent tasks transformation true

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US