RESEARCH REPORT

In brief

In brief

  • An IDG Research Survey, sponsored by Accenture, showed heavy public Cloud adopters report increased data monetization, operational efficiency and innovation.
  • Three subsequent articles dive into the business drivers and challenges of using emerging technologies for security, data analytics/AI and serverless.
  • A fourth article focuses on the Life Sciences industry benefits of the journey to Cloud along with tips to support product innovation.


Serverless—Amplify Cloud benefits with next evolution in computing

Serverless computing–where Cloud providers handle provisioning/managing servers, automated scaling and high availability–offers real business benefits, including reduced operating costs, improved agility and enhanced innovation. It also enables development teams to focus on coding and building scalable, reliable systems more quickly and easily.

To adopt serverless computing, companies must consider several key areas, starting with breaking down monolithic applications into discrete components that can be developed, scaled, run and maintained independently. Consulting partners can help organizations realize the full potential of serverless computing and provide technical expertise for architecting serverless compute environments, including a standardized approach for continuous integration and continuous delivery (CI/CD).

READ "SERVERLESS COMPUTING: THE RIGHT ARCHITECTURE FOR AGILE INNOVATION"

80%

of Accenture clients are estimated to be exploring serverless computing architectures as part of their Cloud optimization strategies.

Security—Leverage external integration expertise to realize Cloud benefits faster

Migration to the Cloud is growing rapidly as organizations turn to the robust security protections available in public Cloud versus what is found in typical internal IT departments. But integrating data security is complex when deploying applications, especially across multiple Cloud environments. Plus, it can be hard to find in-demand skillsets to get the job done. Our findings show companies are engaging third-party providers to address Cloud security challenges and access critical expertise.

READ "CLOUD OPTIMIZATION SHINES SPOTLIGHT ON NEED TO INTEGRATE SECURITY MEASURES"

74%

of survey respondents are confident in the security capabilities of public-Cloud services, saying they trust their Cloud-based data to be secure.

98%

agree they would benefit from third-party expertise in at least one aspect of Cloud security.

"Cloud infrastructure and Cloud security are the things that I outsource. I know my business, I know my app stack, and I need to be responsible for the deployment and maintenance of that app stack. The rest of it, I have a partner do."

– CIO for a health, physics, and safety company

Data Analytics and AI—Optimize through Cloud to attain business goals and seize new opportunities

Monetizing data is one of the top business drivers fueling public Cloud migration. Our survey results show companies journeying to the Cloud can more easily adopt data analytics. That makes it easier to analyze a wide variety of data sources and make business decisions that enable innovation. The same holds true for Cloud-based Artificial Intelligence (AI) technologies, which companies can use to automate processes or adjust faster to fluctuating customer preferences.

Both data analytics and AI need access to sophisticated infrastructure to store, process and serve large amounts of data faster and more efficiently. Companies can outsource this infrastructure from Cloud providers and even access skilled teams to run, manage and support it.

READ "CREATING NEW BUSINESS INSIGHTS WITH AI AND DATA ANALYTICS"

51%

of respondents report that public Cloud has eased adoption of big data and analytics technology.

43%

say the ability to monetize data is a top measure of success with respect to Cloud deployments while 39% indicate Cloud enables the use of AI.

Life Sciences—Embracing Cloud’s scalability to fast-track product innovation

Fostering transformation, focusing on core products (not IT deployments) and conducting experimentation cycles are key reasons Life Sciences companies are making the Cloud migration journey. In addition, Cloud serves as an intermediary platform for collaborating with an extended partner ecosystem, which is essential for developing innovative therapies and accelerating the drug discovery process using AI technologies like machine learning.

But managing costs and integrating data security are still big hurdles. Savvy Life Sciences firms are overcoming these issues by applying enterprise governance and controls to Cloud implementations, engaging with third-party partners for security integration skills, committing to DevOps practices and maximizing collaboration opportunities.

READ "LIFE SCIENCES COMPANIES SEE THE CLOUD AS A PATH TO INNOVATION"

53%

of life sciences firms cite agility and faster time-to-market as the leading measurements for success with Cloud.

35%

of respondents in this sector have already moved IT infrastructure and application workloads to the public Cloud.

43%

are embracing DevOps for at least half of their application projects.

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