AI has the potential to be a superb admin and workflow tool in all aspects of daily life. But hackers are always thinking of new ways to steal crypto, freeze fridges or sabotage vital infrastructure. For insurers the reputational damage of having personal claims data or policyholders premium revenues stolen or system access denied, cannot be over-stated.
So AI needs world class cyber security solutions, alongside the rapid development of new AI capabilities. Here are some insights from DQPro;
DQPro, leading provider of software to apply automated, complex, and bespoke data controls and checks, is releasing a whitepaper on the importance of data controls and governance to the success of AI called Protecting the Front Door to AI: A Forward-Looking Data Controls Architecture for AI Success in Commercial P&C Insurance.
The market is moving quickly, so how do organizations tackle the fundamentals while still moving forward with their AI initiatives and not letting them spiral into expensive follies? This whitepaper outlines how organizations can still put the fundamentals in place alongside the AI work already happening, rather than waiting for a convenient pause that will not come, by pursuing a dual-track strategy.
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Building data controls and governance simultaneously, so that the fundamentals are in place to ensure that data can be trusted operationally.
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Continue AI adoption and experimentation, to drive innovation.
This whitepaper explores how AI success depends on trusted data and how the concept of the ‘front door’ as a key data control point where data enters an organization’s systems. Where data quality, trust, context, and governance should be established before the data heads downstream and impact business processes including:
- Policy and claims accuracy
- Underwriting governance
- Compliance
- Lloyd’s regulatory reporting
- Delegated authority management
- Reinsurance processes
Download the full whitepaper to get an in-depth look at why the biggest barrier to AI delivering value is not the technology, it is the data underneath it. And how commercial P&C and specialty insurers can deliver a deterministic, auditable control framework to gain scalability, governance, and business value from their AI investments.
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