Across all major industries, leadership teams are chartering their departments with pursuing AI to improve key business processes. Recent research by TechTarget’s Enterprise Strategy Group revealed that different industries are looking to AI to address diverse use cases depending on the dynamics of their business operations, core trade considerations, commerce styles, and other factors.
Data Management, Analytics & AI
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Across the highly competitive markets of the modern day, businesses look to technology to augment their teams with any edge or advantage available. Recent research by TechTarget’s Enterprise Strategy Group revealed that although business intelligence (BI) tools hold immense potential to supercharge operations and decision-making, employee usage of these technologies has been slow to date.
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Generative AI (GenAI) use is on the strategic charter of business lines across organizations and industries. Recent research by TechTarget’s Enterprise Strategy Group found that the space of business intelligence (BI) is no different, with decision-makers planning for robust GenAI usage that promises to boost engagement in analytics tools that supply crucial business insights.
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About
Principal Analyst Mark Beccue is one of a handful of pioneering analysts who began to focus on AI market research in 2015 and is considered one of the top advisers and thought leaders in AI and generative AI market research.
His expertise in AI use cases, applications/software and services, natural language AI and broader trends surrounding AI market adoption have made him a well-known adviser and sought after speaker, panel moderator, conference chair and media resource who can develop and communicate AI market analysis designed for business audiences.
Mark has deep experience in the technology business. Before becoming a tech market research analyst in 2008, Mark worked for 10 years for a global telecom software company in product management, greenhouse innovation and marketing roles. He earned a Bachelor of Science degree in Journalism from the University of Florida.
Generative AI holds great promise, but we have barely scratched the surface of how to harness it. Savvy businesses will be patient, pragmatic, and responsible in their approach.”
Mark Beccue
Principal Analyst, Artificial IntelligenceMark Has Appeared In
Latest Insights from Mark
Research Brief | February 28, 2025
Major Industries Set Their Sights on Responsible AI
Research Brief | February 28, 2025
Organizations Continue Their Journey Toward Holistic, Proactive Responsible AI
Research Brief | January 23, 2025
Assessments Are Underway as Organizations Examine the Impact of GenAI
Research Brief | January 23, 2025
Generative AI Expansion Reveals Heavy Use of Large Language Models and Customization
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Artificial intelligence and machine learning (ML) are topics frequently discussed in various contexts today, primarily regarding their impact on society and application in specific scenarios. When it comes to backup and recovery, two questions are significant: How much AI-generated data needs protection? How will backup and recovery processes adapt to take advantage of these rapidly evolving technologies? TechTarget’s Enterprise Strategy Group recently surveyed IT and data professionals familiar with and/or responsible for data protection and data science for their organization to gain insights into these trends.
To learn more about these trends, download the free infographic, Reinventing Backup and Recovery With AI and ML.
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Artificial intelligence (AI) is transforming the world of backup and recovery, bringing new opportunities and challenges for organizations that want to protect and leverage their data assets for business value. AI can help automate backup and recovery processes, improve data security and resilience, enable data reuse and insights, and optimize costs and performance. However, AI also poses new risks and concerns, including data privacy and compliance, data management and integration, ransomware attacks, and staff skill gaps.
To understand how organizations are adopting AI and machine learning in their backup and recovery strategies, TechTarget’s Enterprise Strategy Group surveyed 375 IT and data professionals familiar with and/or responsible for data protection and data science decisions for their organization.
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This Complete Survey Results presentation focuses on active archive adoption, storage platforms and locations, preferred disk types, data retention, access frequency, retrieval times, strategy elements, use cases, deployment drivers, the role of active archives in AI/machine learning (ML) initiatives, and the distribution of data used in AI/ML initiatives.
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This Complete Survey Results presentation focuses on data user trends, data classification and lineage, drivers behind data governance strategies, challenges with data governance adoption, the impact of AI on data governance, the importance of data governance elements, and investment plans.
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This Complete Survey Results presentation focuses on responsible AI maturity, prioritization, best practices, terms, outcomes, challenges, responses to issues, bias mitigation, measurements, acceptable fairness levels, data and analytics impact, and stakeholders.
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From burgeoning new technologies to quickly evolving digital initiatives, a slew of factors is conspiring to make the modern IT infrastructures that support business goals highly complex. Recent research by TechTarget’s Enterprise Strategy Group found that managers of these infrastructures are looking to make specific investments in monitoring, management, and automation to harden and optimize the security of these critical environments.
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