Part 10/12:
Ethics and Privacy: They have appointed a dedicated Head of Responsible AI to oversee frameworks ensuring transparency, bias mitigation, and ethical compliance. Their Responsible AI Certification process underscores their commitment to trustworthy AI.
Data Availability: Continuous efforts in data sourcing and enrichment help improve model robustness.
Talent Acquisition and Development: Fractal invests in training and attracting talent skilled in AI, data engineering, and behavioral science, recognizing these as crucial to sustained innovation.
Pranay notes that organizational leadership plays a pivotal role in fostering a data-driven culture—setting clear mandates and empowering teams to experiment safely.