Episode 92
The future of enterprise AI? AI in production!
Data Science Leaders | 41:28 | April 10, 2025
What does the near term future of Enterprise AI look like? A scramble to get valuable, cost-effective, enterprise-grade AI solutions into production, with rigorous governance at scale. If that sounds like a tall order - that’s because it is! However, large advanced organizations (yes, even outside of the tech sector) are already seeing success deploying AI solutions and we can expect the pace to accelerate rapidly in the next 1-2 years.
To find out how enterprises are gearing up for this challenge we speak with Richard Swakla, AI and ML Specialist at NetApp and get the inside scoop on the trends that are underway and the strategies organizations are putting in place to operationalize meaningful AI outcomes.
Join us as we discuss:
- The pressure to shift from experimentation to production
- Breaking down the data, infrastructure and organizational silos
- Best practices for tackling governance, security and cost challenges
- Examples of AI efficiency gains in healthcare, pharma, and beyond
What does the near term future of Enterprise AI look like? A scramble to get valuable, cost-effective, enterprise-grade AI solutions into production, with rigorous governance at scale. If that sounds like a tall order - that’s because it is! However, large advanced organizations (yes, even outside of the tech sector) are already seeing success deploying AI solutions and we can expect the pace to accelerate rapidly in the next 1-2 years.
To find out how enterprises are gearing up for this challenge we speak with Richard Swakla, AI and ML Specialist at NetApp and get the inside scoop on the trends that are underway and the strategies organizations are putting in place to operationalize meaningful AI outcomes.
Join us as we discuss:
- The pressure to shift from experimentation to production
- Breaking down the data, infrastructure and organizational silos
- Best practices for tackling governance, security and cost challenges
- Examples of AI efficiency gains in healthcare, pharma, and beyond
