Partner POV | Guard Against Data Poisoning and AI Model Inversion

As generative AI (GenAI) becomes more prominent, organizations must find ways to maximize its value. However, going from a business need to a business outcome can be challenging. Having a strong data management strategy powers organizations to drive valuable GenAI outcomes for their business.

7 key steps along the data management journey:

1. Understand the business need.

Organizations need to know what the desired outcome looks like or how it will measure success. Establish a clear vision of the value that will be created. 

2. Consider the desired outcome and how to measure success, to achieve value.

3. Accelerate relevant data discovery

Not all available data is needed to be productive. Data scientists must be able to quickly discover relevant data for the problem they're trying to solve. 

4. Simplify data exploration and access.

Moving data to a centralized location to analyze it removes the value of real-time use cases, so letting data scientists access the data where it resides is imperative to effortless data discovery.

5. Optimize analytics, experimentation and modeling

Constant experimentation with GenAI, helps see which variables can produce problem-solving results. Without easy access to data, generating value is near impossible.

6. Scale data and analytics productization

Navigating from business need to business outcome, turns a data science project to a reliable, repeatable data science product. One that can run on its own and be re-examined on a cadenced basis for improvement needs. These data products, data pipelines, and AI applications can continuously learn and adapt to drive overall value once a product becomes repeated. 

7. Automate data management and governance

This enables the automation of an organization's data management and governance process, so the system constantly monitors itself and data workflows to flag anomalies before they become problems. 

Evaluating data against the desired outcome creates a learning culture where assets continuously learn and adapt no matter the environmental changes, using AI capabilities with minimal human intervention. 

This data management journey isn't a one-way road, It's an ongoing set of processes, practices and tools designed to help organizations continuously unlock value from their data and it is imperative to any successful GenAI initiative.

With the world's broadest AI solution portfolio from desktop to data center to cloud, Dell is working together with NVIDIA using the world's most advanced AI platform, NVIDIA AI for end to end solutions that deliver security, accessibility and scalability to ensure organizations can travel along the data management journey. 

With these, when it comes to AI-driven data workloads, the journey is just as important as the destination.