Data-driven business

Data is one of our economy's most valuable assets. It is transforming how organisations operate and how they deliver products and services to consumers. Data is also facilitating the creation of brand new business models, where information has itself become the product. What's more, it has opened the door to the increasing use of artificial intelligence (AI) and other automated decision making tools.

Organisations can no longer merely rely on their own generated data. In order to leverage more beneficial outcomes, they now source external data sets to achieve a broad range of commercial outcomes. This is the emerging data liquidity market.

To do this well, organisations need clear data strategies.

But using data and relying on automated decision making is complicated, with high psychological and regulatory risk hurdles. Each new use case may raise new and challenging questions. And now, more than ever, it is vital to maintain consumers' trust about the stewardship of data and how you make decisions based on that data.

The challenge for organisations is to navigate this uncertain and evolving space where the rules of play are still being defined.

AI Toolkit

Ethical, safe, lawful: A practical guide for AI projects

Clients are increasingly beginning to deploy AI tools and other algorithm based automated decision-making processes into their businesses. This raises a number of practical, legal and ethical challenges.

Our AI toolkit helps you address those challenges, including the regulation of data and the 'ownership' of IP created by AI tools, financial services regulatory implications, developing an ethical framework and more. + Learn more

Benefits over backlash

Five steps to a fit-for-purpose data strategy for general counsel

Recent data scandals and the consumer backlash against privacy intrusions call for data strategies built on three pillars: governance, ethical decision making and consumer transparency and control.

Our research shows many organisations are still at the beginning of this journey. For example, almost half of ASX 200 privacy policies have not been updated in the past two years.

Legal counsel are uniquely placed to inform data strategy. They should advocate to senior leadership across multiple business functions for robust, holistic data governance for your organisation. And they can also help develop new trust compacts with consumers by raising the bar on transparency and consumer control over data. + Learn more

Data Diagnostic

Related Content