Customer Analytics

GDPR and protecting data privacy with cryptographic pseudonyms

Within two years, most of today’s cybersecurity technologies will be obsolete. Since the beginning of 2016, hackers have stolen more than 8 billion records — more than double the two previous years combined — and that doesn’t account for unreported intrusions. The current system of patches, firewalls and blacklists isn’t working. It’s no match for […]

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Cognitive Predictions

The cognitive market is expanding at momentous speed, with the annual growth rate reaching 40%. It is no longer a question of why you should engage in cognitive technologies, but how. 2017 will result in widespread tangible implementations and achievement of real business value as the mind share in cognitive solutions changes to market share. […]

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Your Digital Reinvention journey begins here

IBM helps organizations fundamentally redesign processes, experiences and infrastructure to create new sources of value and drive greater efficiencies through Digital Reinvention™. Our consultants help you apply advanced technologies embedded with AI, automation and analytics to modernize enterprise IT infrastructure and optimize operations.

Digital Insights and Analytics Outlook for 2017

2016 was a year that saw the next wave of adopter finally moving forward with their Big Data programs. As results from early adopters and lessons are learned, organizations are moving big data and digital analytics efforts into the mainstream. We see this change accelerating in 2017 along with several other areas which include: Big […]

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IBM and SAS Analytics

It is hard to find anyone these days who needs to be sold on analytics. Everyone agrees with the promise of analytics. Yet companies experience frustrations when it comes to realizing its potential. A recent McKinsey study found that “86% of executives say their organizations have been at best only somewhat effective at meeting the […]

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Data as a Service

Big Data unlocks more information than traditional storage approaches can – relational, file stores, streaming, document repositories, unstructured and enterprise repositories all available from within the ‘data lake’ (a Big Data construct where many different types of data reside). It also enables the democratisation of analytics, whereby business users (without formal data management training) use […]

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