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Automating the Data Lifecycle: How to Maximize Your AI Investment in the Data Center

Russ Ernst  (CTO, Blancco)

Location: Room 206

Date: Tuesday, April 16

Time: 10:00 am - 10:50 am

Pass Type: AFCOM Solution Provider, All Access Conference, Industry Conference, Standard Conference - Get your pass now!

Track: Emerging IT & Data Center Technologies

Session Type: Conference Session

Vault Recording: TBD

Audience Level: All Audiences

Artificial Intelligence (AI) has the potential to make a tremendous impact on how businesses manage daily operations, reduce costs, and increase efficiencies. However, the effectiveness of the insights provided by AI-driven business intelligence is only as good as the data the AI engine is "fed." The key to increasing AI's ROI is investment in data discovery and data classification solutions to get the most out of AI's Large Language Models (LLMs), which requires clean and accurate data.

In his presentation, Russ Ernst, CTO at Blancco Technology Group, will advise attendees on how to increase the ROI of their AI investment by leveraging it for:

  • Data Quality Enhancement: how AI can clean and enhance the quality of data by identifying and correcting errors, inconsistencies, and duplicates, ensuring that data is reliable and accurate.
  • Data Lifecycle Automation: ways AI can automate the entire data lifecycle, from ingestion and processing to storage and archiving. This ensures that data is managed efficiently and according to compliance and retention policies.
  • Data Privacy and Compliance: how AI can assist in identifying and managing personally identifiable information (PII) and ensuring compliance with data protection regulations like GDPR or HIPAA.

Finally, Ernst will address ways to incorporate AI into data center operations and the data lifecycle such to benefit both companies and their customers.


  • How to get the most out of the AI investment and where it can be most effective in the data center
  • How businesses can use AI to manage the data lifecycle process, from data creation to data sanitization
  • How to leverage AI to meet data privacy and compliance regulations, and why applying AI in this fashion will grow more important as organizations to amass data at alarming rates