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Data movement from the plant to the cloud service, especially when it is owned and operated by a third-party business, may violate regulatory compliances.
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The real challenge for organizations is trusting those managing their cloud services, especially when sensitive data could circulate in the hands of multiple third-party businesses.Ĭyber regulatory compliance has its own complexity making sure that compliance programs evolve with cloud deployment, infrastructure, environments, and applications, and various cloud services and applications are configured securely. Moreover, data sovereignty provides customers with a mechanism to prevent the cloud provider from accessing their data, designating access only for specific purposes.
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Software sovereignty ensures that the customer can control the availability of its workloads and run them without being dependent on or locked into a single cloud provider. Operational sovereignty provides customers with assurances that those working for a cloud provider cannot compromise a customer’s workloads. Therefore, ensuring data security in this dynamic environment is crucial for enterprises.ĭigital sovereignty, which refers to the level of control over the data, hardware, and software that a company relies on to operate, is another challenge facing the enterprise. Data breaches can be caused by a simple misconfiguration or internal insider threats and can be hard to avoid when part of the IT infrastructure is outsourced to a third-party business. Moving data out of the plant increases the number of potential cyber-attack vectors. More businesses are shifting their confidential information to the Cloud, and data breaches targeting cloud-based infrastructures increased by 50% from 2019 compared to 2018 (see Verizon Business 2020 Data Breach Investigations Report). For any business, it is important to consider whether the benefit of achieving lower latencies is greater than the cost of acquiring the necessary network bandwidth, which in some cases is not possible due to infrastructure constraints.Īnother challenge is the increased cyberattack surface. Response latency is seen as a constraint or an obstacle for a business that is performing critical operations and trying to run its assets efficiently and effectively.
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The first critical decision is how to transfer data and the cost of doing so. Organizations face challenges relating to response latency data security data management cyber regulatory compliance implementation cost retaining employee knowledge as well as inference at the edge. In fact, enterprise cloud spend is significant and growing quickly, compared to previous years, and more organizations are leveraging public cloud services (for example, AWS, Azure, and Google), private ones, or both (hybrid model).ĭespite the accelerating adoption rate of cloud services, many enterprises are still not running their applications in the cloud. According to Flexera 2021 State of the Cloud Report, the pandemic has accelerated cloud plans and spend. This generates rising demand for data storage and computing resources among organizations. The volume and rate of data accumulation, especially for capital-intensive industries, increases exponentially, as more devices become internet-enabled each year. Scaling AI means that diverse teams, departments, and individuals across the enterprise realise the value of AI and utilize it in their work processes to achieve efficiency and business advantages. Majority of top managers strongly agree that leveraging artificial intelligence (AI) is necessary to achieve their growth objectives, while acknowledging that scaling AI at the enterprise level is a real challenge. “Innovation distinguishes between a leader and a follower,” pronounced the iconic Steve Jobs.In 2019, Accenture conducted a global survey with 1,500 C-level executives across 16 industries, titled “Scaling to new heights of competitiveness”. By Analytics Insight DecemWhat is intelligent edge and why is it important to win in industrial AI?