How hybrid by design can help tech architectures accelerate business outcomes
Tech architecture: Moving from back-office to boardroom
Flashy acquisitions and headline-grabbing initiatives dominate corporate narratives, but a quieter revolution is brewing behind the scenes. Traditionally relegated to IT specialists, technology architecture is emerging as a strategic cornerstone for CEOs seeking a sustained competitive edge. We’re not talking about the latest trendy programming language. It’s about harnessing the power of technology to meet core objectives that define success: efficiency, scalability, and agility.
As gen AI proliferates, C-suites are embracing its promise. Sixty-two percent of business leaders believe generative AI is more reality than hype—up from only 33% a year ago.1 And generative AI has boosted overall AI ROI from 13% in 2022 to 31% today.2 While 31% may seem high at this stage in the AI game, organizations that have the highest maturity in gen AI capabilities are focusing on only a few high-value projects (those most likely to be successful) so it makes sense that early ROI is substantial.
But for many organizations, it’s not always smooth sailing. As they move to broader and deeper applications of gen AI—and begin to scale—they run into challenges. Specifically, they often overlook a key obstacle to ROI: their current technology architecture.
Thirty-eight percent of organizations think they have already designed the tech architecture needed to implement AI business solutions at enterprise scale.3 Based on IBM consulting experience, however, 38% appears high; these organizations may be underestimating what they’ll need from their architecture to scale gen AI.
How hybrid by design can help tech architectures accelerate business outcomes
Tech architecture: Moving from back-office to boardroom
Flashy acquisitions and headline-grabbing initiatives dominate corporate narratives, but a quieter revolution is brewing behind the scenes. Traditionally relegated to IT specialists, technology architecture is emerging as a strategic cornerstone for CEOs seeking a sustained competitive edge. We’re not talking about the latest trendy programming language. It’s about harnessing the power of technology to meet core objectives that define success: efficiency, scalability, and agility.
As gen AI proliferates, C-suites are embracing its promise. Sixty-two percent of business leaders believe generative AI is more reality than hype—up from only 33% a year ago.1 And generative AI has boosted overall AI ROI from 13% in 2022 to 31% today.2 While 31% may seem high at this stage in the AI game, organizations that have the highest maturity in gen AI capabilities are focusing on only a few high-value projects (those most likely to be successful) so it makes sense that early ROI is substantial.
But for many organizations, it’s not always smooth sailing. As they move to broader and deeper applications of gen AI—and begin to scale—they run into challenges. Specifically, they often overlook a key obstacle to ROI: their current technology architecture.
Thirty-eight percent of organizations think they have already designed the tech architecture needed to implement AI business solutions at enterprise scale.3 Based on IBM consulting experience, however, 38% appears high; these organizations may be underestimating what they’ll need from their architecture to scale gen AI.
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