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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, not software, determines AI competitiveness; risk management must precede deployment

Beccue argues that AI accelerators and physical data center infrastructure—not software alone—are the primary competitive differentiator in the generative AI era, making hardware investment strategically essential for organizations. He simultaneously contends that responsible AI adoption requires established risk management systems and industry safeguards before deployment, not reactive measures after problems surface.

4

major US AI firms founding collaborative safety framework

“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

Strategic imperatives for AI competitiveness

AI accelerator hardware investment9
Data center compute infrastructure upgrade9
Pre-deployment risk management systems8
Industry safety standards alignment7
Software optimization alone4

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24%AI accelerator
AI accelerator hardware investment
Data center compute infrastructure upgrade
Pre-deployment risk management systems
Industry safety standards alignment
+1 more

on-prem + cloud

both deployment models equally require AI accelerator infrastructure

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

Organizations must rethink 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

“Companies racing to deploy generative AI are discovering hardware infrastructure determines competitive winners.”

Themes:Hardware as competitive moat in generative AI eraProactive risk management and safety precedes responsible deploymentInfrastructure-first strategy reshapes on-prem and cloud parity

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