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A majority (74%) of tech companies have considered repatriating or have repatriated workloads from the public cloud back to private or on-premise clouds to improve data security/compliance (63%), cost savings/budget constraints (53%), infrastructure/customization control (39%) and better integration (39%). Most of those that have moved digital workloads report success with performance/data sovereignty (92%), integration (90%), cost savings/budget constraint (87%), data security/compliance (84%) and unexpected cloud service downtime/reliability (73%).
Challenges to Aligning AI Strategy with Revenue Goals
The leading challenges to aligning AI strategy with revenue goals in the tech sector are lack of cross-functional collaboration (43%), resistance to change in revenue-generating units (36%), inadequate data or technology infrastructure (34%) and insufficient resources or budget (31%).
What Technologies Will Be Most Important to Tech Companies Near-Term?
When asked what tools, platforms or methodologies are most critical to IT operations in the next year or two, data security/compliance platforms topped the list (55%), followed by:
DBaaS (database as a service for scalable data management) (48%)
Hybrid cloud for multi-environment deployment (39%)
PaaS for app development and deployment (39%)
AI/ML platforms for intelligent app development (36%)
Edge computing for distributed apps (26%)
Integration platforms for data transformation (23%).
It is worth noting that data security/privacy/compliance scored high among tech companies throughout the survey in terms of:
a key driver for adopting edge computing (62%)
great current importance (53%)
difficulty keeping up with cloud technologies (46%)
a significant resource gap in managing cloud (45%)
anticipated challenge in aligning with cloud strategy (45%)
