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EMA Analyst Report: Enabling Real-World Business Transformation through IBM Service Management
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Unlock Your Data for Better, Faster Decision Making
With so much data being captured and consumed on a daily basis, and a staggering 35% of IT leaders unable to access their data, the burning question for organisations remains: Are you genuinely capitalising on the data you gather, or is it time for a new strategy?
In this research report, learn how businesses can harness the full potential of their data resources, while benchmarking your organisation's data strategy against industry peers.
Uncover the tools to turn data into your organisation's most powerful asset and unlock better, faster decision making.
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Going big: why companies need to focus on operational analytics
This report from Capgemini Consulting’s Digital Transformation Institute reveals the extent to which the search for competitive advantage has driven organisations to shift the focus of their analytical efforts away from customer-facing processes to back office operations, over the past three years.
Over two-thirds (70%) now put more emphasis on operational analytics initiatives than on consumer-focused processes. However, broad deployments remain limited and success even more so, with only 18% having both implemented analytics widely across operations and achieved desired objectives.
- Game Changers – 18% of organisations have integrated most of their analytics initiatives with their business processes and have realised the anticipated benefits from their analytics initiatives.
- Optimisers – 21% have typically realised early benefits from their analytics initiatives in a limited number of areas within their operations but have not yet scaled up to more complex initiatives.
- Strugglers – 20% have integrated analytics in most of their business processes but struggle to realise the benefits.
- Laggards – 41% are introducing analytics initiatives in their operations. They have mostly implemented proof of concepts but lag behind in terms of deriving benefits.
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AI: Beyond the hype
Artificial Intelligence is red hot. But what lies beyond the hype? Once it was big data, then cloud, now it is artificial intelligence, and that sub-set of it which is machine learning, that’s generating more heat than light. Is there business value here? And, if there is, is it in danger of being lost in the noise of “AI washing” – namely, rinsing already existing technologies, especially those to do with process automation, in the magic washing powder of “AI”?
A UK government-sponsored into artificial intelligence, and how it could benefit the economy, suggests there is much that could be turned to account, but that the country is in danger of squandering some comparative advantage in these advanced technologies.
In this e-guide we can see our Nordic near-neighbours demonstrating the value of AI in a couple of financial services case studies: Danske Bank and Nordea.
Balancing artificial intelligence with human intelligence is one way to possibly stoke productivity, suggests some research published earlier in 2017 by Goldsmiths, University of London. However, as a contributor from an IT vendor, Pegasystems, argues: “AI is hugely overhyped, hugely misunderstood”, and needs to be treated pragmatically, with a checklist for CIOs to keep it real. In this e-guide also, we foreground an instance of a Singapore-based start-up that is using AI to improve cyber-security, against a backdrop of other practical applications of the technology in the region.
