The power of AI & automation: Productivity and agility
To perform at its peak, automation requires incessant data from across the organization and partner ecosystem.
Innovation begins with automation. Forward-thinking executives are harnessing data-driven innovation to improve performance. In this data story IBM looks at research that shows how leading companies are using data as an asset.
It reveals how they are using intelligent automation to grow and generate operational advantage. Executives told us that intelligent automation is transforming their businesses.
Almost half have introduced new automation technologies to make operations more predictable, flexible, and intelligent—especially when automating proactive customer and employee experiences.
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AI isn’t making work easier, it’s intensifying it – researchers say teams are now facing 'unsustainable' workloads, cognitive strain, and higher levels of burnoutNews While workers report productivity gains with AI, that means they’re faced with bigger workloads
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Lloyds Banking Group wants to train every employee in AI by the end of this year – here's how it plans to do itNews The new AI Academy from Lloyds Banking Group looks to upskill staff, drive AI use, and improve customer service
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CEOs are fed up with poor returns on investment from AI: Enterprises are struggling to even 'move beyond pilots' and 56% say the technology has delivered zero cost or revenue improvementsNews Most CEOs say they're struggling to turn AI investment into tangible returns and failing to move beyond exploratory projects
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Companies continue to splash out on AI, despite disillusionment with the technologyNews Worldwide spending on AI will hit $2.5 trillion in 2026, according to Gartner, despite IT leaders wallowing in the "Trough of Disillusionment" – and spending will surge again next year.
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MoD and Oracle forge closer ties as IT modernization acceleratesNews The UK’s defence ministry will move legacy systems to Oracle Cloud Infrastructure as part of the expanded agreement
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A new study claims AI will destroy 10.4 million roles in the US by 2030, more than the number of jobs lost in the Great Recession – but analysts still insist there won’t be a ‘jobs apocalypse’News A frantic push to automate roles with AI could come back to haunt many enterprises, according to Forrester
