“ To be a good Chief Data Officer is a true craft ”
— Inderpal Bhandari , Global Chief Data Officer , IBM
Next , the focus rested on consolidating critical enterprise data and making it available as a service . Rapid integration of critical data into a single , consolidated data platform can bring unprecedented connection and is the moment , Bhandari says , where a data strategy ‘ really comes alive .’ He adds that a unified data platform is the fundamental enabler of advanced AI solutions in an organisation , and brings new business capabilities , drives efficiency and top-line improvement .
“ Our aim was to transform IBM into a Data and AI enterprise ,” he notes . According to Bhandari , AI systems – all of which are underpinned by data – have four main attributes : they learn from data , they support forms of expression more natural for human interaction , their primary value is their expertise , and their learning evolves continuously as they encounter new information or scenarios .
IBM ’ s Data and AI Blueprint encompasses technology , organisational considerations , data , and business process transformation . For example , cognitive services give the ability to see and contextualise across all data as well as infuse insights into the workflow of business processes . Hybrid cloud solutions encompassing public cloud , private cloud and on-premise environments , provide enterprise cloud container support while implementing and enforcing security standards and privacy policies . Further , the convergence and curation of data that would have previously been siloed and fragmented across an organisation , to create a reliable and trusted source that AI systems can build upon .
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