Summit Agenda

MC OPENS

Welcome Address

Advanced Analytics & Big Data – Transforming Business Models Across Industries

• Unfolding the main parameters of advanced analytics: data mining, big data and predictive data analytics
• Business intelligence vs advanced analytics - where business intelligence ends, advanced analytics begins
• What are the most important parameters to consider when implementing an advanced analytics strategy?

Augmented Analytics - Next Generation Analytics for Today’s Business Needs

• Augmenting data science capabilities using AI and machine learning
• Using AI to help data integration, data visualization and data extraction
• Employing AI tools to interact in natural language rather than in numbered language

Data Lake – Tapping into Information Gold Mines

• How to prevent contamination of data and risk turning your Data Lake into a ‘Data Swamp’?
• Prioritizing & structuring Data Lakes to attain the highest value & ROI for your business
• Data Lake vs. Data Warehousing: serving customized requirements

Unlocking the Real Potential of Dark Data

• Digitizing the untapped and un-digitized segment of dark data
• Harnessing the power of dark data by using the right tools
• Counting on AI to extract value from dark data

Boosting Business Opportunities by Using Real-Time Analytics

• Understanding the power of real-time business intelligence & delivering the highest ROI for your business
• Strategizing with real-time data to gain customer insights & avoiding fraud
• Accessing customer location data using beacons and real-time analytics to offer irresistible deals

Embracing Cultural Change & Staying Relevant in Today’s Digital World

• Building a culture of change - a state of continuous transformation is key
• Do cultural changes tend to follow technological changes or is it the other way around?
• Training human capital to keep up with technology & ensuring survival in a competitive marketplace

Interactive Panel Discussion: CDO Panel - The Evolving Role of Chief Data Officers and Chief Analytics Officers

• Understanding the evolving prominence of this specialized role to drive data & analytics within an organization
• Taking responsibility for data privacy, data governance, data quality and data lifecycle – creating business value and opening new avenue for business growth
• Data management - Opportunities and challenges in the Middle East

Interactive Panel Discussion: Engaging the Big Data & Analytics Tool-Kit in the Banking Industry – Exploring Opportunities to Strategize, Commercialize & Innovate

• Building the empire of personalized services on the foundation of data analytics: using digital banking to acquire customer-centric data
• Using big-data analytics & AI to drive customer insights and data-driven product offerings
• Big data analytics can enhance cybersecurity and reduce risks but does working with larger data sets translate to a greater threat?

Metadata – The Key to Data Governance

• Using metadata to gain meaningful information
• Metadata management for data governance & enterprise architecture
• Incorporating efficient ETL (Extract, Transform & Load) tools to track the movement of data & data lifecycle management

Evolution of RPA to Intelligent Automation -

• How is Intelligent Automation different from Traditional RPA?
• Role of Machine Learning into this evolution – Opportunities and Challenges
• Combining RPA with Natural Language Generation to make better analytical decisions.

MC OPENS

An Exploration of Breakthrough Data Strategies & Data Architecture for the Cloud

• Building a roadmap - How to go about aligning cloud migration with your data strategy
• Migrating analytics to the cloud – Avoiding potential pitfalls & earmarking your priorities
• Designing data architecture to optimize cloud data platforms

Data Modeling for Business Intelligence

• Why does choosing the right data model for your business & applications matter?
• What are the new data modeling techniques that can best manage new age data?
• How has the newly discovered NoSQL data reversed the traditional logical-to-physical modelling scenario?

Big Data AI – The New Oil or Unappeasable Anarchist?

• Has big data hit the dead end or are we at the brink of a new age with big data AI?
• The impact of AI & social responsibility – What are the positives & negatives?
• Can AI be the game changer? Fulfilling the incomplete destiny of big data & big content in driving insight

Interactive Panel Discussion: Exploring data governance in the era of big data

• Using the right mitigation tools while building the data governance structure to minimize the risk
• Challenges associated with data governance and how to deal with them?
• Setting up the data governance framework around Dubai Data initiative

Interactive Panel Discussion – The Impact of Big Data Analytics in E-Commerce

• Using analytics to understand shopping patterns & building better consumer targeted strategies – do predictive intelligence solutions give you the right returns?
• Improving customer service – can data analytics help with identifying key issues at your online store?
• Data driven product R&D coupled with an enhanced dynamic pricing strategy

IoT & AI – Driving Business Process Performance

• Harnessing AI to engage customers, transform products and streamline operations
• Optimal use of AI for predictive analytics in IoT data
• Recognizing the significance of AI in big data, analytics, and IoT ecosystem

Have Blockchain & Big Data Become Best Friends?

• How blockchain & big data complement each other – tackling ever larger data-sets
• Ensuring complete transparency & security across the data-lifecycle with blockchain technology offering decentralized transactions
• Using blockchain to prevent data leaks and secure data from cybercriminals

Data Privacy, Trust & Experience – An Overview from a Middle Eastern Perspective

• Has the arrival of GDPR really brought about an impact in how we use data in the Middle East?
• Establishing ground rules on using VPNs in the region – bringing about data privacy with encrypted & secure data
• Big Data Security – Overview of data & IT governance policies

Edge Processing - Amplifying the Power of Predictive Analytics

• Collecting raw data using edge processing for real-time analysis
• Saving costs and time by eliminating the bandwidth cost, use of cloud and other analytical tools
• Using analytics algorithms to detect models and enable forecasting

Panel discussion: The Power of Personalization - Converting Buyers to Passionate Brand Advocates

• Has the power of personalization surpassed the other two P’s – product & price?
• Personalized (CX) Customer Experiences – How can studying buyer habits help?
• Acquiring & holding on to customers by building brand loyalty – how analytics can lend you new tricks to leave up your sleeve