DAY ONE

• Driving open data sets in the government sector to empower citizens and accelerate economic growth.

• Fostering a Data-Driven journey as a critical foundation to Data privacy and protection.

• Creating awareness and encouraging stakeholders towards a data driven culture.

• Redefining how hyperconnectivity allows enterprises to make better use of enormous amounts of data in real-time.

• Establishing data frameworks to enhance datasets in the world of technological innovations.

• Addressing the different ways in which hyperconnectivity will promote actions on cyber resilience issues.

• Building an integrated framework to provide enhanced insights to decision makers seeking to create value for their businesses.

• Centralizing database processing to improve business process and efficiency.

• How are future ready organizations creating new business models, products, and services with the application of big data analytics?

• Role of Leadership in Digital Economy.

• Impact of accessible data for continuous product creation.

• Importance of Digital Transformation to remain relevant.

• The power of customer behavior: Utilizing data and analytics to take your business to the next level.

• Using customer engagement data for informed marketing strategy and fostering customer loyalty.

• Addressing the core customer experience challenges. How are CX Leaders. addressing this with advanced analytics tools?

• Involve all your talent by removing friction to get over the inertia.

• Build resilience & governance and understand the risk during AI adoption.

• Successfully adopt AI at scale and build the right culture for long term success.

• How can a Hybrid Data Cloud help organizations to transform complex data into clear and actionable insights?

• The importance of a powerful, self-service analytics platform across hybrid and multi-cloud environments, along with sophisticated and granular security and governance practices, to deliver the same data management capabilities across bare metal, private, and public clouds.

• How Cloudera Data Platform allows multiple analytic functions to work together on the same data at its source, from the Edge to AI, eliminating costly and inefficient data silos?

• How do CDOs prioritize the creation of real-time value from data over digital transformation?

• What’s the now factor, future focus, and the Secret of a successful CDO.

• How do CDOs achieve stakeholder’s buy-in to ensure data-driven decision making becomes the new norm of doing business?

• What are new age companies looking for in a BI software? What are the key criteria in selecting a suitable BI product?

• Delivering faster and accurate information to decision makers to gain competitive advantage.

• What are the challenges faced while framing a BI strategy and how to overcome them?

• How data visualization and storytelling prove to be the key tool in bridging the gap and transforming countless rows of data?

• How can data inputs and algorithms overcome challenges caused by human error?

• Empowering business processes with enriched, impactful, and actionable data.

DAY TWO

• Introduction to security analytics and its importance.

• What are the expanding attack surfaces that present the most risk?

• How to Uplevel Your Defenses With Security Analytics?

• Addressing issues such as data privacy, data integrity, and data quality that undercut ability to analyze data.

• Building a strong data strategy as a key to identify and understand data regardless of its structure, origin, or location.

• Adopting an end-to-end approach to develop a trustable data strategy for an agile data architecture.

• Overviewing some real industry cases/projects where AI have been used as fuel for rapid growth in Asia in last decade.

• Using proven top-down industry level to present interactive AI visual board connected in real time to AI Big Data engine to talk through growth process.

• Discussing the technical aspect on how and where to find data for hyper user optimized analytics and how to do modeling of comprehensive interactive boards for end-to-end digital growth.

• Plugging Data analytics to cloud to reduce upfront costs and accelerate the implementation timeline.

• Empowering organizations with cloud analytics – Driving growth and scalability.

• Breaking the silos between analytical and operational data to help make better decision and realize new opportunities.

• How will Data analytics trends change and accelerate transformation of informed decision making?

• Using data and moving between various digital touchpoints to harness valuable insights.

• How to overcome the challenges of data privacy and differing governance models?

• Is big data a weapon against rising cyber security attacks?

• Leveraging the potential of big data while mitigating big data security risks with huge increase in data consumption.

• Leading to new security strategies with smart big data and security intelligence tools.

• Equipping employees with self-service management of data and analytics tools to map trends and key learnings.

• Handling day to day data requirements by teams with reduced dependency on IT teams.

• Facilitating the rise of agile teams that gives organization a competitive edge.

• Why is AI relevant for marketing analytics now?

• AI-marketing analytics enhancing Data Interpretation, Data Integration and how its helps in overcoming issues of data silos.

• Enabling organization with analytical optimization using various AI techniques to determine effective marketing approach.

• Achieving data elasticity with huge volumes of data migrating to cloud.

• Data Fabric Architecture: Modernize Your Data Integration and Analytics Stack.

• Utilizing fast and actionable data at the forefront to maximize data value and potential.

• Chief Data Officer, Data Scientist
• CXOs, CIOs, CTOs, CMOs, Heads of IT
• Heads of Marketing, Digital & Strategy
• Heads of Data, Analytics & Business Intelligence
• Heads of Data Modelling & Mining