As organisations around the world trigger their business continuity plans (BCPs), they are beginning with an assessment of viability. While the majority of companies will have had an existing BCP in place, the threat of Covid-19 has been so unique that many BCPs globally have not been applicable or extensive enough to cope with the impact. While crisis management teams have been gathering multiple times a year to draw up scenarios and anticipate the impact of various forms of crisis, the current environment is offering a new challenge whose scale is so unprecedented that the current BCPs are not expansive enough to address the threat. In response, leaders are gathering in some cases twice daily to address the new challenge and update their BCPs accordingly.

Data scientists play a crucial role in this executive crisis management, providing continuous and detailed insights that support decision-making. Data can identify vulnerable areas of business now and going forwards, predict problem areas, analyze the efficacy of current plans and develop immediate response and future-proofing strategies to navigate the business through the storm of Covid19.

·        Working with leadership – communicating the need for data science as part of BCP planning

·        Kicking into action – assessing impact on business, customer behaviours, employee needs, productivity, etc

·        Impact modelling, scenario building and strengthening business risk mitigation efforts

·        Laying plans to bounce back faced with the lasting impact which will be seen on the economic environment

·        Confronting issues of confidentiality, integrity and availability of data

Hoang Thai

Lead Data Scientist
EnergyAustralia

See Bio

The onset of COVID-19's "new normal" has had a huge effect on every organisation. From a data and analytics perspective, it has highlighted the constraints of legacy thinking, the importance of operational agility and, in many cases, accelerated the need to leverage the cloud. But rather than simply porting existing architectures to the cloud, let's first consider what a true cloud data platform looks like. 

In this session, Snowflake will share their expertise in building such architecture, taking you through critical considerations and strategies for migrating to a cloud-based data platform and then leveraging the opportunities offered by such advanced data storage and analytics. This will include scaling without disruption, reducing maintenance overheads and seamlessly sharing data across regions & clouds.

Join us to learn:

• How Snowflake's unique architecture can remove legacy limitations
• How to easily access analytics-ready datasets via the Snowflake Data Marketplace
• How to leverage Snowflake's cross-cloud, cross-region replication to ensure data stability & continuity

Kelly Hotta

Senior Sales Engineer
Snowflake

See Bio

·        Impact felt on AI teams from the current global pandemic – demand and response change

·        Embedding agility into operations - reconsidering products and plans

·        Working with leadership to align priorities and adapting planning cycles

·        Dealing with the unknown future when drawing up projections

·        Short term perspectives, goals and possible compromises

Kate Carruthers

Chief Data & Analytics Officer
University of New South Wales

See Bio

Sveta Freidman

Data Analytics and Science Director
Carsales.com

See Bio

Maria Paz

Program Director of Enterprise Technologies
Monash University

See Bio

Businesses and individuals around the world are experiencing the impact of a global pandemic. With many workers and potential shoppers still sequestered, COVID-19 is proving to have a momentous impact on the global economy. Regardless of the current situation and post-pandemic era, real time data becomes even more critical to healthcare practitioners, business owners, government officials, and the public at large where holistic and timely information are important to make quick decisions. It enables doctors to make quick decisions about where to focus the care, business owners to alter production schedules to meet the demand, government agencies to contain the epidemic, and the public to be informed about prevention.

 In this session you will learn about the capabilities of data virtualization as a modern data integration technique and how can organisations

·        Rapidly unify information from disparate data sources to make accurate decisions and analyse data in real-time

·        Build a single engine for security that provides audit and control by geographies

·        Accelerate delivery of insights from your advanced analytics projects

Chris Day

Director, APAC Sales Engineering
Denodo

See Bio