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The latest opinion pieces by industry thought leaders on Data
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Can Cohesity and Veritas define data protection’s future?
Moving forward, the combined firm's leadership will be under pressure to make good on its long-term vision.
Scott Sinclair • Dec. 20, 2024 -
Vectorized data uses see resurgence with generative AI
Advancements in generative AI are driving renewed interest in vector databases. Organizations have also found new uses for the established technology.
Stephen Catanzano • Nov. 6, 2024 -
You need analytics governance
Analytics governance might not seem exciting, but it can improve innovation and mitigate risks. It's also critical to responsible data management and analytics practices.
Donald Farmer • Aug. 16, 2024 -
What Veeam’s backup support of Proxmox means for SMBs
Proxmox has officially entered the virtualization platform conversation. The addition of Veeam backup support provides smaller organizations an alternative to pricier VMware tools.
Stuart Burns • Aug. 14, 2024 -
Generative AI shines spotlight on data governance and trust
Generative AI creates new opportunities for how organizations use data. Strong data governance is necessary to build trust in the data AI models use.
Stephen Catanzano • Aug. 6, 2024 -
Data readiness unlocks the potential of AI
AI models rely on data to function. Before implementing AI, make sure your data can support initiatives by evaluating its quality, accessibility, integration and governance.
Stephen Catanzano • June 4, 2024 -
Trusted data is the foundation of data-driven decisions, GenAI
Any organization that wants to drive decision-making with data or use generative AI won't succeed without understanding how to cultivate trusted data.
Stephen Catanzano • March 25, 2024 -
Data management and governance key to successful AI use
AI's effectiveness is limited by data quality. Building strong data management and governance programs are crucial to handling the challenges that AI presents to organizations.
Stephen Catanzano • Feb. 13, 2024 -
Real-time analytics, vector search accelerate time to insights
Real-time analytics and vector search capabilities reduce time to insights, enabling data-driven organizations to make faster decisions and generate value from their data.
Stephen Catanzano • Feb. 2, 2024 -
Unlock the value of data through AI, modern data platforms
Organizations looking to harness the power of generative AI to unlock data value should combine it with the modern data platform to maximize performance and efficiency.
Stephen Catanzano • Jan. 11, 2024 -
Explore the benefits of AI for DataOps
Enterprise Strategy Group research shows most organizations feel they need AI to unlock the full potential of DataOps and improve data pipeline performance.
Stephen Catanzano • Nov. 3, 2023 -
Organizations identify DataOps as driver to improve data use
An overwhelming majority of organizations report plans to increase DataOps spending. Continued investments target real-time, quality data-driven decision-making and insights.
Stephen Catanzano • Oct. 20, 2023 -
Data protection and security: A marriage of necessity?
The data protection market is fundamentally changing. An increased focus on cybersecurity and resilience efforts should shift how an organization views backup.
Jack Poller, Christophe Bertrand • Sept. 25, 2023 -
GenAI, Vector AI Search, multi-cloud top Oracle CloudWorld
Oracle CEO paints a bright picture of the future with generative AI, shares integration plans and expands Microsoft partnership.
Stephen Catanzano • Sept. 20, 2023 -
Security a top challenge in building a modern data platform
Modern data platforms help manage large volumes of data and empower real-time decision-making. It starts with overcoming the top challenges organizations identify.
Stephen Catanzano • Sept. 12, 2023 -
Data quality fuels analytics, AI
Data quality is tied to organizations' ability to gain actionable data from analytics and AI processes, and orgs that implement data quality tools can make faster decisions.
Stephen Catanzano • Aug. 21, 2023 -
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.
Stephen Catanzano • Aug. 3, 2023 -
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.
Stephen Catanzano • June 28, 2023 -
15 ways AI influences the data management landscape
AI, NLP and machine learning advancements have become core to data management processes. Ask tool vendors how they use -- or fail to use -- AI in these 15 areas.
Stephen Catanzano • June 13, 2023 -
Cohesity’s catalysts: AI, cyber resilience and partnerships
Cohesity adds new AI capabilities to its data platform to improve cyber resilience and data management, while touting partnerships and responsible AI.
Christophe Bertrand • June 2, 2023 -
6 ways Amazon Security Lake could boost security analytics
Amazon's new security-focused data lake holds promise -- including possibly changing the economics around secure data storage.
Jon Oltsik • June 1, 2023 -
How to approach data mesh implementation
Data mesh takes a decentralized approach to data management, setting it apart from data lakes and warehouses. Organizations can transition to data mesh with progressive steps.
Gunasekaran S • May 31, 2023 -
How AI might change the data protection space
AI is making waves throughout IT, including in backup and disaster recovery. Learn where AI is being used for data protection and where it might be headed.
Mike Leone, Christophe Bertrand • May 25, 2023 -
Veeam aims to expand reach, bolster data security
Veeam's user conference centered on cyber resilience and ransomware preparedness and prevention, with new partnerships and integrations that expand its platforms.
Christophe Bertrand • May 23, 2023 -
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.
Christophe Bertrand • May 22, 2023