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• AI value comes from continuous learning, not automation

  The companies pulling ahead in AI aren't doing it by deploying more tools. Rather, they're building the data foundations that make intelligence reusable, scalable and reliable. Continue Reading

• York's data governance program eyes capabilities, not control

  York University has focused its data governance program more on solving data quality, access and trust issues for end users than on controlling their data use. Continue Reading

• AI doesn't need an unstructured data dump -- move what matters

  Bulk data migration pushes out AI timelines. Data leaders should invert the process: classify and catalog first, then move only relevant content to reduce delays and costs. Continue Reading

• 8 proactive steps to build trusted data for analytics and AI

  Trusted data is even more critical as AI use increases. These eight steps will help data leaders build a strong foundation for effective analytics and AI applications. Continue Reading

• How governance as code controls AI agent risk

  As more stringent EU AI Act requirements take effect, enterprises need runtime guardrails that control autonomous agents' actions, govern data access and preserve audit evidence. Continue Reading

• 4 AI incidents that harmed resilience efforts

  AI can be a helpful tool when users respect its limitations and verify what it claims to be fact. If not, the impact on the organization can be catastrophic.Continue Reading

• The board-level economics of downtime

  Downtime is an organization-wide issue. Leaders who treat resilience as a strategic capability are better positioned to navigate future operational, cyber and market disruptions.Continue Reading

• AI agents push enterprises toward unified data governance

  Enterprises facing data sprawl and growing risks from autonomous agents need unified governance and runtime controls to manage agent access and actions they can take.Continue Reading

• Geopolitics reshape data protection plans

  Business and technology leaders are revising their data protection plans as global conflicts challenge current resilience and risk management plans.Continue Reading

• Upskilling is key to building AI-driven data teams

  External hires and consultants can help, but strengthening the current data team for AI work often leads to quicker progress, lower costs and better retention.Continue Reading

• 8 data integration challenges and how to overcome them

  Data integration in modern architectures faces eight challenges, from preserving lineage at scale to serving AI and analytics workloads, each explored with practical strategies.Continue Reading

• Why a dashboard audit matters before BI cleanup

  Managing large BI estates takes more than deleting stale dashboards. To keep order, leaders need to assess analytics usage and assign ownership to prevent clutter from returning.Continue Reading

• Why the rush to replace dashboards with AI is a mistake

  AI-generated answers are getting better fast, but dashboards still do something AI can't, even as the line between them blurs more every day.Continue Reading

• Why backup alone doesn't guarantee cloud recovery readiness

  Successful backup jobs can still leave dependency and configuration gaps, making orchestration and recovery testing critical for restoring cloud services and SaaS apps.Continue Reading

• Verify backup data integrity to reduce recovery risks

  Validation is an essential part of data backups. Test and confirm that your backup data is intact and usable now, rather than discovering problems during a recovery.Continue Reading

• Data observability for AI helps curb poor model performance

  Data quality issues get amplified in AI applications. Models can produce confident -- but misleading -- forecasts and conclusions without observability safeguards.Continue Reading

• 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.Continue Reading

• How dashboard sprawl challenges upend enterprise analytics

  The proliferation of dashboards, coupled with conflicting data definitions, exposes governance issues in organizations and reduces the ROI of analytics investments.Continue Reading

• How to build a business impact analysis checklist

  A business impact analysis is a critical part of disaster recovery planning. Avoid potential disruptions and smooth out the planning process with this BIA checklist.Continue Reading

• Data sovereignty expands beyond compliance boundaries

  Geopolitical conflict and outages can upend assumptions about where data is controlled and accessed, pushing leaders to plan for jurisdictional risk, resilience and recovery.Continue Reading

• Power-constrained data architecture curbing AI ambitions

  Rising power demands and grid interconnection delays are hampering enterprise AI efforts and altering data strategies, workload placement and resilience planning.Continue Reading

• Govern citizen development to avoid data pipeline downtime

  Low-code/no-code and vibe coding require data leaders to shift from gatekeepers to architects of trust to maintain data integrity and keep pipelines running reliably.Continue Reading

• 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.Continue Reading

• 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.Continue Reading

• 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.Continue Reading

• 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.Continue Reading

• 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.Continue Reading

• 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.Continue Reading

• Hybrid search demands reshape retrieval frameworks for AI

  As AI workloads mature, enterprises face multiple data platform choices to improve search and retrieval capabilities while meeting governance and operational demands.Continue Reading

• 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.Continue Reading

• Top data preparation challenges and how to overcome them

  Data preparation is a crucial but complex part of analytics and AI applications. Don't let these seven common challenges send your data prep processes off track.Continue Reading

• Data domain ownership, data mesh chart path to AI-ready data

  That AI initiative won't get off the ground without timely, reliable data. Bringing technology and team practices into sync reduces delays and boosts data readiness.Continue Reading

• SLM vs. LLM: Rightsize data architecture to optimize AI use

  It doesn't need to be a binary choice. Enterprises are warming up to smaller AI models to meet compliance and cost needs while reserving large models for complex jobs.Continue Reading

• Data lakehouse ransomware recovery strategies for AI

  Attackers target the metadata your data intelligence platform needs to function. Understand where your AI risks are and what it takes to restore service after an incident.Continue Reading

• Master cloud backup costs for more predictable IT spending

  Predictable cloud backup spending strengthens strategic IT planning by aligning cost optimization with data resilience rather than treating them as competing priorities.Continue Reading

• AI data governance guidance that gets you to the finish line

  As organizations dive into AI adoption, many realize the first real bottleneck is not the model but how to prepare their information so it can be used effectively in AI workflows.Continue Reading

• Implement backup reporting for improved data governance

  Data visibility and governance are more important than ever in 2026. Reporting can help ensure that your organization understands what it has in its data backups.Continue Reading

• Why you should be using backup monitoring software

  To protect data, creating backups is not enough anymore. Backup monitoring software can help make sure those backups are ready to use, compliant with regulations and meeting SLAs.Continue Reading

• How to cut data loss risks when employees leave

  How an employee leaves influences what data they might take. Organizations can implement several practical methods to protect code, client information, and other assets.Continue Reading

• Residual access failures put data at risk

  Stop breaches that start with orphaned accounts. This guide identifies offboarding weak spots and gives leaders a practical checklist to close gaps fast and prove compliance.Continue Reading

• Ways to protect data platforms from turnover risk

  Departing data employees can take valuable Institutional knowledge. Protect it with consistent documentation, a central repository and tested backups to keep systems stable.Continue Reading

• How extreme weather events affect data

  As severe weather increases worldwide, organizations must understand the risks to on- and off-premises data and take steps to prevent outages and loss.Continue Reading

• 10 data governance challenges that can sink data operations

  No organization can successfully use data without data governance. Address 10 data governance challenges to avoid financial loss, derailed operations and reputation damage.Continue Reading

• 10-step guide for testing a backup and recovery plan

  Failure is not an option when it comes to backing up data and recovering it if disaster strikes. Data backup testing can pinpoint potential problems in the recovery process.Continue Reading

• What is endpoint data loss prevention? A best practices guide

  Today's mobile workforce puts company data at risk. Endpoint data loss prevention secures sensitive info at the source, reducing breaches, costs, and compliance risks.Continue Reading

• Image-based vs. file-based backup: Key comparisons

  Image-based backups protect entire systems with single files, while file-based backups offer granular protection. Most organizations benefit from implementing both approaches.Continue Reading

• Top business continuity risks to plan for and monitor

  The key to mitigating business continuity risks is identifying them early. Here are 10 top risks concerning business continuity pros today. Is your organization ready for them?Continue Reading

• 6 DRaaS risks to assess and mitigate

  Cloud DR is a popular strategy today, but not exactly invulnerable to threats. Assess the risks associated with DRaaS and learn to mitigate them before a crisis strikes.Continue Reading

• 10 ways to reduce your MTTR

  Mean time to repair is a critical metric for BCDR professionals. Learn how to calculate and reduce MTTR with this tip.Continue Reading

• 7 data cleansing best practices

  Organizations rely on data for analytics and decision-making, but if that data is flawed, inconsistent or otherwise unreliable, it's not as valuable.Continue Reading

• 7 data sanitization techniques for better data protection

  Data sanitization is an essential aspect of data protection. Good data sanitization practices can help ensure the security, integrity and confidentiality of sensitive information.Continue Reading

• Business continuity vs. emergency management

  There is overlap between business continuity and emergency management, but don't confuse the two. They are separate but equally critical disaster recovery practices.Continue Reading

• 6 disaster recovery site requirements for businesses

  Building a disaster recovery site provides organizations with a high degree of control over the facility. It also makes them responsible for several critical requirements.Continue Reading

• 6 dimensions of data quality boost data performance

  Poor data quality can lead to costly mistakes and bad decision making. The six dimensions of data quality ensure accurate, complete, consistent, timely, valid and unique data.Continue Reading

• 6 slow backup causes to watch out for

  Backup performance is affected by several factors. Ensure that backups are running in a timely manner to protect data and prevent bottlenecks.Continue Reading

• Data lake governance: Benefits, challenges and getting started

  A data lake that isn't well governed might become more of a swamp. Explore the key benefits and challenges of data governance in a data lake, plus initial steps to take.Continue Reading

• Disaster recovery in healthcare: Free plan template and overview

  Healthcare organizations handle critical, sensitive data in their IT infrastructures. They must protect those infrastructures from disruptive events with a disaster recovery plan.Continue Reading

• 7 steps to create a data loss prevention policy

  Data loss prevention is an ever-changing process of proactive and reactive protection and planning. Read on to learn how to set up a successful DLP policy.Continue Reading

• 8 data protection challenges and how to prevent them

  Businesses contend with a combination of issues spawned by data overload, privacy regulations, access rights, cyberattacks, cloud environments, generative AI and human error.Continue Reading

• How to conduct a data privacy audit, step by step

  The vital importance of a data privacy audit can't be underestimated in today's climate of proliferating customer data, more stringent regulations and sophisticated cyber threats.Continue Reading

• 6 data privacy challenges and how to fix them

  Fragmented data protection laws, technology disruptions, AI adoption, data governance and consumer trust are among the complex issues confronting businesses in need of remedies.Continue Reading

• Generative AI can improve -- not replace -- predictive analytics

  Generative AI improves predictive analytics through synthetic data generation. Managing data bias and ethical AI risks can enable GenAI to widen the scope of simulated outcomes.Continue Reading

• Data management best practices key to generative AI success

  Generative AI can create data, empower decision-makers and innovate competitive advantages. Organizations need strong data management practices to use it effectively.Continue Reading

• Grow data trust to avoid customer and corporate consequences

  A lack of data trust can undermine customer loyalty and corporate success. To avoid the consequences, understand the effects of poor data trust and learn key steps to build it.Continue Reading

• Caution: There are many ways to lose SaaS data

  As the number of organizations using SaaS apps grows, data loss becomes a larger concern. Unfortunately, there appears to be a lot of confusion about where that loss stems from.Continue Reading

• Successful data analytics starts with the discovery process

  As organizational data grows more complex, discovery processes help organizations identify patterns to solve potential issues and improve business processes.Continue Reading

• Prevent different types of network attacks with DR planning

  Disaster recovery and IT security teams must protect the network on several fronts to keep data safe from potential attackers. A dedicated disaster recovery plan can help.Continue Reading

• Avoid data sprawl with a single source of truth

  Enterprise Strategy Group research shows organizations are struggling with real-time data insights. A single source of truth can make operations more efficient and more accurate.Continue Reading

• Data backup failure: Top 5 causes and tips for prevention

  What can you do to prevent data backup failure? Learn how using the 3-2-1 rule, turning to cloud backup and following other practical steps can help protect your data.Continue Reading

• Full vs. incremental vs. differential: Comparing backup types

  Evaluate full vs. incremental vs. differential backup, as well as newer types of backup, in synthetic and incremental-forever, to determine what's best for your organization.Continue Reading

• 5 steps to an improved data quality assurance plan

  Follow these steps to develop a data quality assurance plan and management strategy that can help identify data errors before they cause big business problems.Continue Reading

• 4 data quality challenges that hinder data operations

  Data quality challenges pose a threat to organizations' decision-making. Inaccurate, inconsistent, missing and duplicate data poses threats to cultivating trustworthy data sets.Continue Reading

• How to overcome the top 5 DataOps challenges

  DataOps is a new tool for effective data use and improved data-driven decision-making. Organizations should prepare for these five DataOps challenges and learn how to overcome them.Continue Reading

• 7 data quality best practices to improve data performance

  Data quality is essential to operate a successful data pipeline and enable data-driven decision-making. These seven data quality best practices can help improve performance.Continue Reading

• The modern data platform drives data-centric organizations

  IT leads the modern data platform, functioning as the conduit, efficiently delivering the correct data to the right users, to empower data-driven decision-making in organizations.Continue Reading

• Box backup tips, options and considerations

  Backing up Box data? Look at your organization's retention policies, compliance requirements and complementary tools to form a solid Box backup strategy.Continue Reading

• Experts lay out data illiteracy's dangers, propose remedies

  In this excerpt from their new book 'Data Literacy,' top data management experts Peter Aiken and Todd Harbour outline a new way to gauge data learnedness.Continue Reading

• What is the role of qualitative and quantitative impact in DR?

  Disaster recovery planners use several metrics to craft a plan suited to their organizations. Quantitative and qualitative impact are two helpful metrics in a recovery strategy.Continue Reading

• Prepare a supply chain disaster recovery plan

  Supply chain disruptions can bring business to a halt and lead to high costs. Examine potential threats, mitigation costs and prepare to plug any gaps in the chain.Continue Reading

• Build a BCDR employee training program for peak resilience

  A BCDR training program teaches employees key skills, such as how to conduct risk assessments, coordinate emergency response with first responders and restore business processes.Continue Reading

• Use immutable backups to prevent data loss, boost compliance

  Immutable backups have gained traction with the rise in ransomware attacks. However, there are different approaches to immutability and external factors that come in to play.Continue Reading

• Data quality for big data: Why it's a must and how to improve it

  As data volumes increase exponentially, methods to improve and ensure big data quality are critical in making accurate, effective and trusted business decisions.Continue Reading

• Enterprise augmented data management benefits and growth

  Gartner predicts plenty of growth in the booming augmented data management market, which helps data professionals focus on insights over administrative tasks.Continue Reading

• Use APIs to create a custom disaster recovery report

  The right set of PowerShell commands and API calls can go a long way to build and customize a disaster recovery report. Learn how with these steps.Continue Reading

• Top 2020 data backup tips target remote protection, cloud

  From improved security to SaaS protection, these data backup tips are important for your business, especially in an IT world changed by the coronavirus pandemic.Continue Reading

• 6 common Backup Exec error codes and how to resolve them

  Backup Exec, which is now under the Veritas brand, is one of the top names in data protection. If a Backup Exec error occurs, it may be one of the codes analyzed below.Continue Reading

• Remote disaster recovery presents new business challenges

  With more employees working remotely than ever, natural disasters and other typical DR crises present an entirely new challenge. How can businesses tackle this new set of risks?Continue Reading

• After-action report template and guide for DR planning

  Conducting an after-action report following disasters or internal DR exercises is a critical process that will help prepare an organization for future disruptive events.Continue Reading

• 2 important edge data storage backup best practices

  Edge data storage backup has become a key component of data protection plans. File sync-and-share software can complement this important backup process.Continue Reading

• How to resolve 5 Veritas NetBackup status code messages

  NetBackup status codes present varying degrees of challenges, from general errors to failed restores. Dive into details about how to fix some of the more common issues.Continue Reading

• It's time to update your pandemic disaster recovery plan

  Your DR plan may be unprepared for a pandemic, and while mid-pandemic is not the ideal time to be discovering issues, you should use this time to make changes.Continue Reading

• Common virtual disaster recovery errors and how to avoid them

  Frequently testing a disaster recovery plan is one reliable way to ensure that a virtual recovery will go smoothly and not set an organization back.Continue Reading

• 5 tips for remote backup systems to strengthen your defense

  There are lots of options for remote backup. Take the time to evaluate your needs in the age of remote work and construct your backup platform wisely.Continue Reading

• Post-pandemic data backup and recovery planning guidelines

  Following the coronavirus pandemic, you might have to modify your backup and recovery strategy. Overcome the data protection challenges presented by the changes in daily life.Continue Reading

• Overcome common cloud backup security issues in remote work

  Your cloud backup and storage usage may be on the rise. Make sure you take the necessary security precautions detailed here to keep your data protected.Continue Reading

• What are Microsoft Teams backup and recovery best practices?

  Backup and recovery of Microsoft Teams is often a complex process. Explore these guidelines to help simplify the important protection of your Teams data.Continue Reading

• Small business pandemic plan should cover supply chain, staff

  COVID-19 has many organizations shifting gears when it comes to pandemic planning, and SMBs are no exception. For small companies, adaptability is the key to recovery.Continue Reading

• 10 guidelines to secure your data backup

  Data backups are essential to effective security, but backup mismanagement can often increase security woes. Luckily, there are some best practices that can help.Continue Reading

• Overcoming the top 3 analytics adoption challenges

  Analytics is a growing part of many businesses. Experts talk about some of the most pressing challenges enterprises may face when implementing new analytics strategies.Continue Reading

• Hardware replication vs. software replication: The differences

  Hardware replication and software replication have different use cases and pros and cons, so it's important to do your research before choosing one over the other.Continue Reading