Data and analytics executives have difficult decisions to make, working cross-functionally with IT and the business to maintain:
- Modern Platform for Top Talent: Top performing data science experts demand cutting-edge tools and infrastructure to do their best work, along with seamless access to data.
- Less Risk from Better Compliance: Ensure customer trust and regulatory compliance with consistent processes, centralized infrastructure, limited access to sensitive data, and adherence to data residency and data sovereignty regulations.
- Greater Business Impact: Increase the volume and quality of data science models that inform new offerings, improve customer experiences, and increase profit.
That’s why Domino Data Lab and NVIDIA worked with David Menninger, SVP & Research Director of Ventana Research, to identify five key considerations that data and analytics executives should have in mind while designing their AI/ML stack for the hybrid future.