Learn how your Financial organization can benefit from Kubernetes with machine learning
Artificial intelligence (AI) and machine learning (ML) are ubiquitous in consumer products and online services: apps, smart speakers, social media, recommendation engines in retail and entertainment. The potential in the financial market is enormous, with the market for AI in finance to grow from USD $7.91B in 2020 to an astonishing $26.67B by 2026. Despite this investment, sustained returns on AI investment elude most organizations, especially while meeting tough requirements for security and individual and corporate data privacy.
Kaptain, D2iQ's cloud-native end-to-end machine learning platform, already powers government organizations and research teams across the globe in highly secure environments. Financial organizations can now leverage that same technology to infuse their products and services with AI.
What you will learn:
- What problems in finance are ideally suited for artificial intelligence, machine learning, and deep learning
- Risk Analysis
- Fraud Detection
- Real-time Analysis
- Consumer Analytics
- Algorithmic Trading
- Customer Data Management
- Common challenges with AI/ML in the enterprise
- How D2iQ Kaptain overcomes these challenges, including how data scientists, infrastructure teams, and operations all benefit at the same time
Who should attend:
- Data Scientists and Engineers
- Office of the CIO/CTO
- Cloud/Solution Architects
- DevOps Managers
- IT Managers
