Expert Advice: Page
Practical guidance from industry experts on Data
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Brand Experience Team/TechTarget
The data backup confidence gap: Are you really recovery ready?
False confidence in data backups is a growing issue. IT leadership must ensure that recovery goals match backup realities to avoid extended downtime and loss of customer trust.
Jacob Roundy • June 4, 2026 -
Brand Experience Team/TechTarget
Choosing the right AWS disaster recovery strategy in 2026
Organizations unprepared for outages often have a disaster recovery plan that does not match their business needs. These metrics can help leaders choose the best AWS strategy.
Wisdom Ekpotu • May 29, 2026 -
Brand Experience Team/TechTarget
Compare AI risk management frameworks from NIST and beyond
While NIST is the most widely used, it's just one of the frameworks available today that can help manage the risks associated with AI.
Paul Kirvan • May 28, 2026 -
Brand Experience Team/TechTarget
10 big data challenges and how to address them
Big data initiatives pose various challenges for data leaders and teams. Here are 10 common ones and advice on overcoming them to ensure deployments are successful.
George Lawton • May 23, 2026 -
Brand Experience Team/TechTarget
AI tools are making resilience an enterprise-wide discipline
AI tools that support resilience at the business unit level can enable more personnel across an organization to engage in disaster recovery efforts.
Damon Garn • May 21, 2026 -
Brand Experience Team/TechTarget
Top 10 vector database use cases across industries
Vector databases have become the standard infrastructure for enterprise AI work. These 10 use cases for vector databases show where the technology delivers practical value.
Donald Farmer • May 11, 2026 -
Brand Experience Team/TechTarget
Resilience strategies for an AI-powered era
Resilience is not an optional feature of an AI strategy, it should be the foundation. Incorporate risk mitigation early on to scale AI securely while keeping up with competition.
Damon Garn • May 7, 2026 -
Brand Experience Team/TechTarget
Business intelligence challenges intensify as AI use grows
AI can produce analytics findings more quickly, but it's all for naught if data quality lags and organizations don't address that and other issues in BI systems.
Tom Walat • May 1, 2026 -
Brand Experience Team/TechTarget
How do risk assessment costs vary and why?
Risk assessments help identify and, more importantly, prioritize activities an organization needs to address its most serious threats and vulnerabilities. However, costs may vary.
Christine Campbell • April 30, 2026 -
Brand Experience Team/TechTarget
Why leadership should be involved in data backup policies
While IT administrators lead the day-to-day operations of data backups, business leaders have a key role to play in shaping their organization's backup policy.
Jacob Roundy • April 28, 2026 -
Brand Experience Team/TechTarget
How to develop a data governance strategy: 7 key steps
A strong data governance strategy enables more effective data use and helps prevent financial, legal and reputational problems. Follow these steps to develop one.
Donald Farmer • April 24, 2026 -
Brand Experience Team/TechTarget
The data ownership blind spots putting organizations at risk
Organizations can't claim to have good data governance when they still have unowned data. Assigning ownership to siloed and dark data is critical to enterprise success.
Mary Pratt • April 24, 2026 -
Brand Experience Team/TechTarget
Why a risk management framework is critical for AI initiatives
Risk management frameworks are an essential tool to optimize the planning, deployment and use of AI. Without one, AI initiatives might be vulnerable to several threats.
Paul Kirvan • April 23, 2026 -
Brand Experience Team/TechTarget
Sorry, backups are just not enough to guarantee restoration
Your organization's ability to recover after a crisis depends on several factors. Our included action plan goes beyond data backup to make sure you're ready for restoration.
Damon Garn • April 21, 2026 -
Brand Experience Team/TechTarget
How to develop an enterprise data strategy: 12 key steps
Here are 12 to-do items for data leaders developing a data strategy to help their organization use data more effectively for analytics and business decision-making.
Anne Marie Smith, Ph.D. • April 17, 2026 -
Brand Experience Team/TechTarget
What downtime and data loss really cost the business
Downtime in the organization spotlights revenue and operational risk. Business leaders can use cost estimates to focus recovery spending where outages cause the greatest loss.
Helen Searle-Jones • April 17, 2026 -
Brand Experience Team/TechTarget
Data fragmentation is a major hurdle to future-ready backups
Data fragmentation has largely been considered beneficial to a data protection strategy. Some IT leaders now view it as a business risk worthy of executive-level attention.
Damon Garn • April 16, 2026 -
Brand Experience Team/TechTarget
6 key components of a successful data strategy
These six elements are essential parts of an enterprise data strategy that will help meet business needs for information when paired with a solid data architecture.
Donald Farmer • April 15, 2026 -
Brand Experience Team/TechTarget
Data governance regulations that executives should know
Growing national and international regulatory compliance demands aim to protect consumer data. Organizations must adhere to regulations or face noncompliance risks.
Paul Kirvan • April 8, 2026 -
Brand Experience Team/TechTarget
AI, analytics push data-in-use protection up priority list
As sensitive data moves into AI pipelines, organizations must evaluate how to protect it during processing and what safeguards IT platforms provide for data in use.
Sean Kerner • April 7, 2026 -
Brand Experience Team/TechTarget
Why maximum tolerable downtime is a key business metric
Downtime cannot be eliminated, but it can be governed. By defining maximum tolerable downtime, data leaders align recovery planning with business priorities and risk tolerance.
Tom Walat • April 3, 2026 -
Brand Experience Team/TechTarget
Disaster recovery plan checklist: Key steps for a smooth restore
Disasters are unpredictable, but good planning can mean the difference between total data loss and a swift recovery. Avert potential crises with a disaster recovery plan checklist.
Brien Posey • April 2, 2026 -
Brand Experience Team/TechTarget
Build a data literacy program to fit company needs
Want better decisions? Invest in a role-based data literacy program that aligns training to workflows, builds trust in metrics and improves execution on business goals.
Donald Farmer • March 27, 2026 -
Brand Experience Team/TechTarget
Strengthen cyber resilience by shifting to a modern DR model
RTO, RPO and uh-oh. Rushed restores can reinfect systems. Update outdated DR practices to avoid these issues and focus resources on the systems that matter most to the business.
Tom Walat • March 24, 2026 -
Brand Experience Team/TechTarget
Understanding the layers of the AI‑ready modern data stack
Data infrastructure and practices need an upgrade for the AI era. A modern data stack takes a layered approach that aligns teams and delivers governed, trusted data.
Tom Walat • March 20, 2026
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