For the second dimension, innovate, we assessed revenue uplift (the margin impact of revenue increases) and cost savings from business operations. We quantified the potential value of more than 700 use cases involving advanced analytics, IoT, and automation. Here, we categorized use cases as not requiring public cloud and as accelerated or unlocked by public-cloud technology, attributing respective share of value to public cloud. The output was a detailed estimate of value by dimension, benefit driver, and industry.
Cloud accelerates and, in some instances, unlocks implementation of the latest technological and digitization solutions in the back office, such as analytics-driven accounting and talent management. Organizations that shift to public cloud unlock additional value by repurposing and reskilling their workforce to focus on higher-value tasks, such as developing products and services that address customer demands. Cloud can allow a reduction in manual effort through API-based models, standardization, and automation (for example, IaC).
The next dimension involves harnessing cloud to accelerate or enable innovation using technologies such as advanced analytics, IoT, and automation at scale. These provide companies with ways to pursue innovation-driven growth and optimize costs for business operations. The range of potential value is large and reflects the fact that not all organizations have the cloud maturity to achieve a similar degree of innovation. We analyzed 700 use cases to determine the impact of cloud in unlocking value. The value was allocated across a range from 100 percent in select cases, 30 percent in the bulk of cases, and null in a small number of cases (Exhibit 4).
A business case for cloud should be grounded in a clear understanding of cloud economics across cost savings (rejuvenate) and business acceleration (innovate). It should be adjusted to transformation risks and prioritized by business domain, and it should include the required resource allocations and sequencing of tasks. One effective approach in developing business-innovation cases is to analyze and articulate the value that can be unlocked or accelerated by cloud. For example, the business-innovation case for an insurer that can refresh its analytical underwriting models twice as fast on public cloud as on a traditional, on-premise infrastructure should calculate both the improvements in return on investment and the value of freeing up capacity for additional innovation. Although the details will vary by organization, we find a holistic, hard-headed business case can help companies gain consensus across functions and build organizational momentum to hit targets within two years.
The emerging technologies, especially machine learning and artificial intelligence, will critically underpin future products and services across different sectors, from manufacturing to retail and public sector services. More firms are looking for innovative ways to implement the innovations, pushing massive growth in the global AI market, which is anticipated to reach up to US$9880.4 million by 2023, confirmed Techradar.
Taking the Next StepNot every organization will need the power, capacity and speed of the organizations cited in this article. But virtually every organization will need to have a plan and strategy to use their data efficiently, comprehensively and intelligently to empower business innovation and digital transformation. To learn more about how your organization can unlock the value of your data, please visit Hewlett Packard Enterprise.
Accelerating digital innovation across business functions requires foresight and agility to navigate dynamic market conditions. Enterprises must unlock processes and data in their applications and enable users to personalize their work in context. In addition, having the right content available to customize cloud applications is a must. These elements are critical to evolve operating models.
The pace of innovation increases because more people can contribute to it. Plus, you can take advantage of proven cloud application best practices to unlock the value of SAP data and accelerate outcomes without compromising security and compliance. You can also gain the flexibility to run confidently on leading public clouds with SAP managing your installations for reliability and peace of mind.
\"As enterprises look to adopt a hybrid cloud strategy, the mainframe has a key role to play. This announcement highlights the collaboration of Kyndryl and Microsoft and brings together the world's largest provider of hosted mainframe services and a market-leading public cloud provider to unlock new ways for mainframe clients to drive innovation and bring value to customers,\" said Steven Dickens, Senior Analyst, Futurum Research.
Businesses are under constant pressure to grow and innovate and are relying on and demanding more of their cloud solutions. Critical requirements are evolving rapidly from all layers in the stack. Complex infrastructures must be transformed to optimize workloads, secure data, and deliver services at scale. Intel is at the forefront of innovation with cloud solutions to enable transformations and create top and bottom-line value in every industry. Intel's developer first approach, focused on open ecosystems, choice, and trust, empowers developers to unlock the cloud's full potential.
BNP Paribas embarked on a major leg of its digitization journey in 2013, when it built a private cloud. Its initial role was to provide secure access to computing and storage. In 2017, however, the bank realized its private cloud structure was hindering the rapid development of digital banking features. Competitive benchmarks showed that enterprises using public clouds could obtain new computer servers and storage to develop apps in minutes, says Christophe Boulangé, the global cloud director at BNP Paribas. But it was taking the bank several weeks to secure similar resources, he says.
\"Policy Intelligence\" streamlines a big data, AI-assisted policy modelling approach to improve human judgment for evidence-informed policy making. Advances in computational power (HPC, European Open Science Cloud, commercial clouds), combined with the unprecedented volume and variety of data from the Research & Innovation (R&I) domain, the public sector information (PSI) and the web, have created ideal conditions for the development and application of AI techniques (e.g., Natural Language Processing, Machine Learning, data mining) and modelling approaches to improve the design and implementation of STI policies.
Baidu World 2022 featured numerous examples of how AI Cloud solutions have helped unlock new possibilities in traditional sectors including energy, manufacturing, public services, and agriculture. Today, Baidu's AI solutions for thermal power plants are helping to reduce coal consumption, opening a path towards reducing carbon emissions by 6 million tons a year in China. In Shandong province's Shouguang county, one of the biggest vegetable supplying regions in China, Baidu AI Cloud has helped to achieve a 10% increase in vegetable cultivation yield.
But right now, the United States does not have a coherent national data strategy. There are few protocols for promoting research access or platforms that make it possible to gain new insights from proprietary data. It is not always clear who owns data or how much belongs in the public sphere. These uncertainties limit the innovation economy and act as a drag on academic research. In the following section, we outline ways to improve data access for researchers.
Yet the manner in which AI systems unfold has major implications for society as a whole. It matters how policy issues are addressed, ethical conflicts are reconciled, legal realities are resolved, and how much transparency is required in AI and data analytic solutions.74 Human choices about software development affect the way in which decisions are made and the manner in which they are integrated into organizational routines. Exactly how these processes are executed need to be better understood because they will have substantial impact on the general public soon, and for the foreseeable future. AI may well be a revolution in human affairs, and become the single most influential human innovation in history.
Companies with large investments in data centers often want to extend their existing applications and services into the cloud rather than replace them with cloud services. All the major cloud vendors now offer ways to accomplish that, both by using specific hybrid services (for example, databases that can span data centers and clouds) and on-premises servers and edge cloud resources that connect to the public cloud, often called hybrid clouds.
For data governance, you must strike a proper balance in the decentralized world of a data democratization. If you enforce governance too strictly, you can stifle innovation. However, if you don't have at least some core principles and processes in place, you're likely to end up with data silos. These silos can damage your organization's reputation and potential revenues. A holistic data governance approach is fundamental for you to unlock the strategic value of your data in a consistent manner.
At Level 3, the organization unlocks digital innovation from both data estate and application development standpoints. Foundational data services are in place, including data lakes and shared data services.
Consistent policy-based controls across private and public clouds are required for both hybrid success and portable data and services. A unified data fabric, powered by Cloudera SDX, orchestrates disparate data sources intelligently and securely, maintaining lineage across all analytics. SDX facilitates self-service access to trusted data while maintaining accountability and ensuring regulatory compliance.
In Boston, we have the opportunity to leverage our high concentration of world-class hospitals, computational resources, and commitment to public good to pioneer this transformation. Focused on the larger public good, we can do this in a way that leaves hospitals and patients in control of their own data and which encourages innovation in computation on this data. We propose a technical solution for creating a regional hub where hospital data can be stored and shared and where tightly-coupled computation services allow rapid Big Data analytics on that data. This hub will reduce hospital costs for secure storage and computation, simplify collaboration and democratize healthcare application development, and provide startups access to data while providing hospitals continued control over their data and value (e.g. revenue) for the data they choose to share. 153554b96e