Data is the fuel and key differentiator for Jones Lang LaSalle (JLL), global financial and professional services firm that specializes in commercial real estate services and investment management. Delivering valuable, actionable insights based on its voluminous data - at its clients’ fingertips - is their mantra.
Managing multiple integration environments that combine data coming from back-end building management systems, Internet of Things sensors and public data, which is spread across on-premises, big data and cloud environments is not a trivial task.
In this webinar, Pankit Patel, Senior Architect at JLL, will share how JLL is leveraging machine-learning-based operational monitoring and analytics to get predictive insights and recommendations across all their deployments and assets, thus maximizing resource utilization with better capacity planning and optimizing costs, while improving business SLAs.
In this session, you will hear about:
- How JLL is unleashing the power of their operational data and analytics to drive IT productivity and business success
- Lessons learned by JLL in managing multiple integration environments to deliver data into the hands of their clients
- Optimally planning for the future to drive better business outcomes
