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RESEARCH, ANALYSIS & TRENDS
IDC’s Top10 predictions regarding impact
analytics and AI initiatives in Asia Pacific
IDC unveiled its top 10 predictions to impact analytics automation of IT operations. Other AI-led innovations
and artificial intelligence initiatives of Asia Pacific enable the end-user such as improvements in
excluding Japan (APEJ) organizations through 2023. computer interfaces, the development of affective
computing, and the rise of insights as a service. A few
Alongside strong momentum in localized data innovations are really focused on AI development – the
processing, IT operation automation and AI-enabled UI increased use of simulated data for AI model training,
redesign, there will be increased discussion and and the new discipline on AI model governance and
investment for synthetic AI training data, business management.”
process re-design, and data/model governance to make
sure these technology-driven transformations are All come together in the need to incorporate AI models
sustainable. into the business fabric of organizations, making the
technology real and relevant.
By 2022, IDC predicts that algorithm opacity, decision
bias, malicious use of AI, and data regulations will result According to Dr. Marshall, these innovations are
in doubling of spending on relevant governance and summarized in the following ten predictions impacting
compliance staff and explainability teams in APEJ. technology buyers and suppliers in Analytics and
Artificial Intelligence in Asia Pacific over the next 48
"To get beyond isolated proofs of concepts for Artificial months. The predictions are:
Intelligence, organizations in Asia Pacific need to
aggressively develop an enterprise ecosystem that #1: Insight as a Service: By 2022, commoditization of
leverages the technology innovations that are now ever higher layers of analytics and AI technology will
available," says Dr. Chris Marshall, Associate Vice result in 15% of the current spend on these items being
President for Analytics and AI Research at IDC Asia/ replaced by spend on insights as a service in APEJ.
Pacific.
#2: Process redesign: By 2023, an annual 15% rise in
Dr. Marshall continues, “Some innovations focus on AI-based IT implementation projects automation will
infrastructure such as the availability of event-driven drive a new wave of business process redesign,
architectures to support real time analytics and requiring services from firms with deep industry and
processing, the localization of computation at the edge, functional expertise in APEJ.
the emergence of multi-model databases, and AI-based
6 January 2019 - Digital Business Trends Predictions