Building Intelligent Data Pipelines you can trust for your AI & ML Initiatives

Webinar date: July 21, 2020

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As one of the key tenets of any successful data governance practice, data governance and security is likely to be top of mind for companies seeking to open access their access data in order to drive the use cases of the future as part of your data-driven transformation.

Key to data security is the ability for data teams to have superior visibility and auditability of user data access patterns across their organisation. Implementing an effective data governance solution helps companies protect their data from unauthorised access and ensures that they have rules in place to comply with regulatory requirements.

Whether you’re managing the data of a startup or a large corporation, security teams and platform owners have the singular challenge of ensuring that this data is secure and is being managed according to the internal controls of the organisation. Regulatory bodies the world over are changing the way we think about how data is both captured and stored. These compliance risks only add further complexity to an already tough problem.

This special briefing for business and analytics leaders will discuss best practices for how to accelerate your AI and analytics initiatives to deliver successful, on-time outcomes that you can trust as you unleash the power of data across your organisation.

We’ll also discuss the common challenges when considering the security and availability of your data in the cloud, addressing:

  • Best practices to identify gaps in your existing data governance solution

  • Data access policies and how they are able to be observed

  • GDPR compliance in your organisation

Date: Tuesday, 21 July 2020 Time: 10:30am - 12:00pm AEST

In Attendance:

Bede Hackney, Country Manager, Databricks Australia & New Zealand (MC)

Kunal Taneja, Head of Field Engineering, Databricks APJ

Susan Wilson, Global VP Data Governance and Privacy Segment Leader, Informatica

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