Managing and governing data

Digital operations maturity - Unlocking the true value of data to drive digital transformation 

• With the explosion of data onto the network, how should CSPs effectively handle the traffic coming in?
• Enhancing the useability of data – how to treat data as a strategic asset and create growth opportunities
• Removing silos – Measuring the maturity and quality of the data with involvement across IT, analytics, and business
• Using data to improve business performance – CSPs' journey to date with the digital maturity index

Data analytics – if we can’t measure it, we can’t manage it 

• Setting KPIs and tracking the impact of each program to help achieve their goals
• Improving operational efficiency with AI whilst maintaining a good customer experience
• What does it take to implement AI & how to use customer data effectively
• Overcoming the challenges of AI ethics – Let’s be proactive with anomaly detection!
• How to regulate the use of AI – Considerations around data privacy, governance, and transparency

Managing and governing data across complex ecosystems and networks 

• What are regulatory bodies defining and why do data governance and AIOps matter?
• Exploring frameworks and tools to enable the safe and effective development, deployment, daily operations, and maintenance of scalable AI components
• Managing data and enterprise data policy in a hybrid data cloud environment, and during the process of moving data to the public cloud
• Addressing AI ethics and bias

Driving business impact of data and AI at scale  

• Maturing CSP’s capacity for network analytics in the age of public cloud, and maximizing ROI
• Working smarter with AIOps to detect and fix issues before they become outages
• How to scale to meet increased customer demand and assist with the onboarding process of partners more quickly
• Improving employee competence - Using smarter data intelligence to enable faster and more informed decision-making