Behind the cloud: Data & AI. Part 1 [HE]
Speakers: Kfir Gur Ari, Cloud Data & IOT Lead, SELA & Idan Azulay, Solution Specialist Data & AI, Microsoft
This is part of a series of lectures about Data & AI
Focus Keyword: Finance and AI
How AI technologies can be leveraged in finance to optimize expenses, improve decision-making, and enhance accountability. This session provides a high-level overview of potential AI integrations into financial systems, showcasing practical approaches and initial strategies to consider for improving cloud-based financial management.
Finance and AI Key Insights:
1. Automation for Cost Savings
- Use AI to automate the shutdown of non-essential virtual machines based on predictive analysis.
- Schedule resource activation intelligently to minimize unnecessary costs.
- Leverage automation and AI to maintain financial efficiency in cloud operations.
2. Planning and Forecasting with AI Tools
- Utilize Azure Cost Management to enhance cloud financial planning and ensure more effective cost control.
- Estimate project costs accurately using AI-powered forecasting tools.
- Make strategic decisions about resource allocation based on AI insights across different regions.
- Plan ahead with AI to ensure cost-effective cloud deployment and management.
3. Cultural Accountability in Finance and AI
- Foster a culture of accountability for financial decisions driven by AI insights.
- Encourage cross-functional collaboration to ensure optimal use of AI in financial management.
- Monitor and address anomalies in cloud usage with AI to prevent unnecessary expenses.
These insights help businesses leverage AI in finance to gain control over expenditures, improve financial operations, and optimize resource usage for enhanced cost efficiency.
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