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Research Director

Mark Beccue

Mark Beccue is a veteran market research analyst with more than 25 years of experience in market research and business strategy. Mark is one of a handful of pioneering analysts who began to focus on AI market research in 2015. Today with Futurum Group and previously as a principal analyst within the AI practice area at Omdia and Tractica, he has advised clients and provided them with syndicated and custom qualitative AI research services. His expertise in AI use cases, applications and software, natural language AI and broader trends surrounding AI market adoption have made him a well-known and sought after speaker, panel moderator, conference chair and media resource within the AI business community. He has served in those roles for events including the AI Summits in London, Singapore, New York and Silicon Valley, IOT World, Smart Home Summit, UX Next and Telco AI Europe. Prior to joining Tractica, Mark was an independent market research analyst focused on emerging technologies. Before going independent, Mark served as in house market intelligence analyst for Syniverse, where he helped guide overall business and product line strategies. For 4 years Mark worked as a Senior Analyst for ABI Research, a global technology research firm, focusing on mobile consumer services. Prior to ABI, Mark worked for 10 years for Syniverse in product management, greenhouse innovation and marketing. Specialties: AI B2B and B2C market intelligence, analysis and insights. Natural Language AI. Operationalizing AI in the Enterprise. AI market adoption trends and issues. Strengths - AI and other technical market analysis designed for business readers, writing, thought leadership, forecasting, market sizing

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Contributor Brief·Mark Beccue · 5 articles
Updated May 14, 2024

Hardware infrastructure, not software, determines AI competitive advantage

Beccue argues that AI accelerators have become non-negotiable infrastructure investments—not optional upgrades—because data center compute demands now fundamentally drive business competitiveness in the generative AI era. He contends that organizations cannot separate their AI strategy from their hardware strategy; the winners will be those who invest strategically in accelerator infrastructure regardless of on-premise or cloud deployment models.

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major US AI firms launched Frontier Model Forum for risk management

“Hardware infrastructure, not just software, determines who wins and who falls behind.”

Strategic Investments In AI Accelerators Ensure Ongoing Competitiveness in the Generative AI Era

Key infrastructure decisions reshaping AI deployment strategies

AI accelerator investment necessity10
Data center compute demand surge9
Risk management system implementation before deployment8
On-premise vs. cloud infrastructure flexibility7

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29%AI accelerator
AI accelerator investment necessity
Data center compute demand surge
Risk management system implementation before deployment
On-premise vs. cloud infrastructure flexibility

watermarking systems

adopted by industry leaders to differentiate AI-generated from human content

Businesses must rethink their infrastructure strategy as AI workloads reshape what data centers can actually deliver.

On-Prem or Cloud? Either Way, Data Center Compute Demands Necessitate the Need for AI Accelerators [pro av]

Responsible AI adoption requires robust safeguards before deployment, not after problems emerge.

As Organizations Ask If 'Should' Launch AI Projects, A Risk Management System Becomes Essential [pro av]

“Hardware infrastructure determines competitive advantage in the generative AI era.”

Themes:Hardware-first AI strategy determines market winnersInfrastructure investment precedes successful AI deploymentRisk management systems must embed before, not after, launch

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