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1 – 8 of 8Glenn Finch, Brian Goehring and Anthony Marshall
The authors show how cognitive computing offers companies an opportunity to dramatically improve the efficiency of business functions throughout the enterprise – from core…
Abstract
Purpose
The authors show how cognitive computing offers companies an opportunity to dramatically improve the efficiency of business functions throughout the enterprise – from core back office systems to critical middle office capabilities to essential front office functions.
Design/methodology/approach
Examples are given of companies that are using cognitive computing to transform the workings of individual business functions.
Findings
Cognitive systems will also create breakthrough opportunities for interactions between various functions of the organization.
Practical implications
Self–learning cognitive systems are enabling better-informed customer engagement in which the technology recognizes, learns and improves with every interaction.
Originality/value
Applied to innovation activities, cognitive computing helps organizations better formulate hypotheses, identify and validate new ideas, accelerate and refine scenario envisioning and planning. As organizations become more mature in both digital intelligence and digital re-invention, the dynamic interplay between functions will increasingly become a source of competitive advantage.
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Glenn Finch, Brian Goehring and Anthony Marshall
The authors address how a combination of artificial intelligence (AI) and cognitive computing --- adaptive data management systems that monitor, analyze, make decisions…
Abstract
Purpose
The authors address how a combination of artificial intelligence (AI) and cognitive computing --- adaptive data management systems that monitor, analyze, make decisions and learn -- will transform businesses, work and customer offerings.
Design/methodology/approach
A survey of 6,050 C-suite executives worldwide identified a small group of cognitive innovators and revealed what they are doing differently.
Findings
Cognitive innovators identify customer satisfaction, retention, acquisition and revenue growth as the primary rationale for embracing cognitive technologies.
Practical implications
Cognitive computing systems are already helping make sense of the deluge of data spawned by ordinary commerce because they are able to adapt and learn.
Originality/value
The authors offer a four-step approach to cognitive computing innovation based on their research findings.
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Cindy Anderson, Jacob Dencik, Anthony Marshall and Raj Teer
Central to the corporate response to decades of discontinuity has been a rapidly growing and increasingly impactful role of data and digital technologies. This article…
Abstract
Purpose
Central to the corporate response to decades of discontinuity has been a rapidly growing and increasingly impactful role of data and digital technologies. This article studies that co-evolution.
Design/methodology/approach
Reviewing annual and semi-annual IBM survey data from CEO interviews across the past 20 years, IBM Institute for Business Value research has gained a unique perspective on how corporate leaders have used data technology to stay at the vanguard of change.
Findings
In 2021, 62 percent of the highest performing CEOs said technology infrastructure, specifically data infrastructure, is the greatest challenge for their organization.
Practical Implications
From coping with uncertainty, change and complexity, to the need for more actionable insights, to empowering the individualization of the customer experience and engagement with ecosystem partners, data and digital technologies are now central to helping organizations address their top challenges.
Originality Value
Business leaders must think strategically about how the interplay between data, technology and business transformation will need to be shaped to catalyze even more value for the enterprise and its customers.