GenAI and Hybrid Cloud: A Powerhouse for Business Transformation
December 11, 2023
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Generative AI has rapidly climbed the ranks of strategic priorities for enterprises worldwide. Its applications in customer service, coding, automation, and various other business cases are undeniable. However, leveraging this transformative technology requires massive data volumes, powerful computing, advanced security, and swift scalability. Thankfully, hybrid cloud provides all these proven advantages.
In fact, 68% of hybrid cloud users have implemented organization-wide policies or approaches for generative AI utilization.
Despite the potential, challenges remain that hinder full generative AI implementation. Cybersecurity and data confidentiality concerns plague 45% of executives involved in cloud initiatives. This insecurity drives 61% of cloud leaders to move specific workloads from public clouds to private or on-premises environments.
These concerns vary globally. In Singapore, the percentage of cloud executives expressing high security concerns jumped from 43% in 2022 to a staggering 68% in 2023. Similarly, German cloud executives reporting security concerns rose by 25 percentage points in just a year, reaching 71% in 2023.
Beyond addressing these concerns, generative AI holds immense potential for threat detection and security automation, offering a powerful counterpoint to security anxieties.
But generative AI isn’t the only consideration for cloud strategy. Sustainability initiatives also rely heavily on a robust cloud infrastructure. Over a third of global leaders managing sustainability goals internally or for third parties, believe cloud technology will have the biggest impact on their sustainability strategy.
Hybrid cloud proves crucial for both generative AI adoption and achieving sustainability objectives. However, the lack of cloud-skilled employees hinders progress. On average, 58% of global decision-makers consider cloud skills a significant challenge. This highlights the need for extensive upskilling initiatives to equip employees with the necessary expertise to leverage hybrid cloud and generative AI tools effectively.
By embracing generative AI and the power of hybrid cloud, enterprises can unlock unprecedented transformation while ensuring security, sustainability, and workforce development goals are met. To learn more and unlock this powerful combination, download the data story.
Source: https://www.ibm.com/thought-leadership/institute-business-value/en-us/report/data-story-hybrid-cloud-ai
The rise of generative AI and its reliance on hybrid cloud infrastructure presents significant implications for the cloud computing industry
Increased demand for hybrid cloud solutions: As businesses adopt generative AI, the demand for hybrid cloud solutions that combine the flexibility and scalability of public cloud with the security and control of private cloud will increase significantly. This trend will benefit cloud service providers who offer comprehensive hybrid cloud solutions and expertise.
Growth in data storage and computing services: Generative AI requires massive volumes of data and powerful computing resources. This will drive demand for data storage services, high-performance computing solutions, and cloud infrastructure that can support these demanding applications. Cloud providers who can offer flexible and cost-effective data storage and computing solutions will stand to benefit.
Focus on security and compliance: Cybersecurity and data confidentiality concerns are major hurdles in generative AI adoption. Cloud providers will need to invest heavily in advanced security features and compliance certifications to address these concerns and gain the trust of enterprises.
Upskilling and workforce development: The adoption of generative AI and hybrid cloud technologies will require a workforce with specialized skills. Cloud providers need to invest in upskilling programs and educational initiatives to help businesses address the talent gap and create a workforce equipped to handle these cutting-edge technologies.
Sustainability considerations: Cloud providers will need to focus on building sustainable cloud infrastructure and services to meet the growing demand for environmentally responsible IT solutions. This includes leveraging renewable energy sources, optimizing energy efficiency, and reducing carbon footprint.
Competition and innovation: The increasing adoption of generative AI and hybrid cloud will intensify competition within the cloud computing industry. Cloud providers will need to innovate and differentiate themselves by offering unique features, competitive pricing, and strong customer support to maintain their market share and attract new customers.