5th Chief Digital & Data Officer Asia Summit
Digital is fueling the next wave of enterprise growth. With rapid digitalization out of the way, chief digital officers are refocusing on building businesses, refining processes, future-proofing IT, and cultivating partnerships. How they transform their companies today will determine their success in the years to come.
One focus area for Asian companies, especially those in ASEAN, is driving insights and business results through data analytics and artificial intelligence. Here, chief data officers are taking the lead in adopting proper data preparation, processing, modelling, and governance, in an accessible, reliable, and timely manner to help their business leaders make the right decisions, empower digital teams to drive their transformation agendas, and make their companies agile and resilient.
The 5th annual Chief Digital & Data Officer Asia Summit brings together digital, transformation, data, IT, and business leaders to share their journeys, plans, and visions for their transformation initiatives. Covering business transformation, digitization, innovation, partnerships, ecosystems, data analytics, artificial intelligence, insight generation, value creation from data, and the IT architecture, this conference aims to craft the playbook for attaining digital superiority.
Why Chief Digital & Data Officer Asia Summit is Different
- Learn about what “digital” means for the traditional enterprise that has existed for decades or event centuries before the digital era
- Listen to how peers in the industry are phasing out legacy infrastructure and learning from the startup revolution
- Understand how the CDO can work together with the C-suite to propel the company into a new gear
- Know how to run an end-to-end digital transformation process and what to keep in mind
- Gain valuable insights on mastering customer interactions and advocacy in an increasingly fast-paced, complex, interconnected world
AGENDA
Conference Chairperson:
More than two years of rapid digitization and transformation have made digital intrinsic to enterprise success. When digitally-capable enterprises face-off in the years to come, how can chief digital officers propel their own companies to the top? Learn from a leading analyst his vision of the future and the role of digital superiority.
Digital transformation is seen as a business necessity in an age of constant disruptions. Yet, embracing digital, data, and analytics does not always translate into results in forms of revenue, profitability, market share, or efficiency. This panel will examine:
- The challenges in aligning digital initiatives with corporate strategies
- Understanding digital ROI and measuring it
- How do we know our transformation journey is leading to success, or if it needs calibration?
Moderator:
Traditional data architecture is complex, costly, and constrained, which can result in data silos across an organisation. This proves to be a huge setback for a data-driven organisation, where data is one of the most valuable assets in making critical business decisions. That is why having a smart, user-driven, scalable, and secure data architecture is paramount to an organisation’s success - and Snowflake enables all of that with the Data Cloud.
Digital products, services, and channels now command a greater share of enterprise revenue, while ushering new opportunities for the chief digital officers. Hear about the opportunities, processes, technologies, and models that allow CDOs to create new revenue streams and expand established ones.
Data virtualization goes far beyond self-service – it’s become an essential element for teams who have been forced to rethink data deliverability. The road to better data insights is not only dependent on data accessibility but is even more reliant on the guided approach for data discovery. The data landscape is vast and has become even harder to navigate. The ability to access your data is no longer sufficient, we need systems to guide us to the right data, and more importantly to enable us to ask better questions.
In this session we will discuss an alternative, flexible and agile approach to data delivery that can lead to significant benefits for analytical use cases;
- Deliver data 65% faster
- Accelerate AI/ML initiatives by 30%
- Empower Knowledge Workers to be 50% more productive
Join our session to learn how Denodo can provide guidance and guardrails for better data insights.
Purchasing. Working. Living. Thanks to digitalization, people are doing all these anywhere and at any time. Companies need to take a more holistic approach in reviewing the experiences via the touchpoints and modalities to transform business outcomes. This panel will discuss:
- Aligning and integrating employee and customer experiences for positive outcomes
- Creating unified, coherent experiences for all users based on customer interactions
- Boosting EX and CX with automation: barriers, tools, and approaches for long-term success
- Tracking, measuring and utilizing the experiences of all users
Panelists:
Deploying an analytics solution is only part of the answer for good, data-centric decision making. You also need connected, contextual, and continuous analytical models to navigate the complex business landscape. This panel will explore:
- Connecting disparate structured and unstructured sources
- Identifying the right data for more relevant analysis
- Detecting contextual changes and refining data models continuously
Customers are demanding more complex and personalized services and solutions. To meet the new demands, companies need to pool together their resources, data, and insights within organizations, with their peers and across industries. This panel will examine:
- Using an ecosystem strategy to catalyze the discovery of new customer value
- Promoting experimentation, learning, and collaborative investments with ecosystem partners
- Orchestrating a seamless customer journey in collaborative ecosystems
- Overcoming data exchange challenges between partners
Interviewer:
In Conversation With:
AI-based automation is taking over decision-making and prescribing actions in many companies. To maintain trust, fairness, and privacy, it is imperative for data and AI leaders to establish relevant governance frameworks. Learn how to build a responsible AI.
Safe and secure vaccine distribution has been a major challenge for many countries during the pandemic. For the manufacturers, ensuring an end to end supply chain transparency is paramount in ensuring safety, upholding brand integrity and avoiding costly recalls/regulatory non-compliance. The presenters in this case study will take the audience on a journey of applying enterprise blockchain technology to track vaccine distribution in real-time, challenges in implementing, strategies to overcome those challenges and key takeaways.
Business users are making fact-based decisions across functions in data-centric enterprises. Yet not all of them are data-savvy. Can self-serviced tools help to democratize data science? This panel will examine:
- Using AutoML to allow non-technical users to build, train and deploy data models
- The role of data scientists in the era of self-service data science
- The governance processes needed for self-service analytics
SPEAKERS
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