The transformative potential of generative AI (GenAI) has sparked significant interest and growth across various industries. In 2023 alone, the number of public GenAI projects on GitHub surged by 248%, highlighting the increasing adoption of AI technologies. In our latest Research Brief, we explore the challenges enterprises face in deploying AI workloads and how HPE’s Private Cloud AI addresses these challenges. It emphasizes the importance of hybrid/private cloud solutions over public cloud options for AI implementations, highlighting specific challenges and providing recommendations for optimizing AI deployments.
The Futurum Group’s Research Brief, Unlocking AI Potential: How HPE Private Cloud AI Accelerates AI Deployment and Innovation, completed in partnership with HPE and NVIDIA, delves into the complexities of AI deployment and the solutions offered by HPE. It examines how enterprises struggle with defining use cases, protecting IP, scaling AI efforts, optimizing technology, and ensuring efficient data processing and inference.
Key takeaways in this brief include:
- The challenges in defining, developing, and operationalizing AI use cases that deliver tangible business value for enterprises today.
- Maximizing the impact of AI while safeguarding intellectual property poses significant concerns for enterprises.
- Scaling AI initiatives without incurring exorbitant costs and optimizing technology for specific use cases remain ongoing challenges.
This Research Brief is crucial in the current technology landscape as it sheds light on the complexities and challenges of AI deployment faced by enterprises. By providing insights into the benefits of hybrid/private cloud solutions like HPE Private Cloud AI, it equips organizations with valuable recommendations to optimize their AI deployments, ensuring they can harness the transformative potential of AI while managing costs, maintaining security, and achieving scalability.
If you are interested in learning more, be sure to download your copy of Unlocking AI Potential: How HPE Private Cloud AI Accelerates AI Deployment and Innovation today.
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Author Information
Regarded as a luminary at the intersection of technology and business transformation, Steven Dickens is the Vice President and Practice Leader for Hybrid Cloud, Infrastructure, and Operations at The Futurum Group. With a distinguished track record as a Forbes contributor and a ranking among the Top 10 Analysts by ARInsights, Steven's unique vantage point enables him to chart the nexus between emergent technologies and disruptive innovation, offering unparalleled insights for global enterprises.
Steven's expertise spans a broad spectrum of technologies that drive modern enterprises. Notable among these are open source, hybrid cloud, mission-critical infrastructure, cryptocurrencies, blockchain, and FinTech innovation. His work is foundational in aligning the strategic imperatives of C-suite executives with the practical needs of end users and technology practitioners, serving as a catalyst for optimizing the return on technology investments.
Over the years, Steven has been an integral part of industry behemoths including Broadcom, Hewlett Packard Enterprise (HPE), and IBM. His exceptional ability to pioneer multi-hundred-million-dollar products and to lead global sales teams with revenues in the same echelon has consistently demonstrated his capability for high-impact leadership.
Steven serves as a thought leader in various technology consortiums. He was a founding board member and former Chairperson of the Open Mainframe Project, under the aegis of the Linux Foundation. His role as a Board Advisor continues to shape the advocacy for open source implementations of mainframe technologies.
Daniel is the CEO of The Futurum Group. Living his life at the intersection of people and technology, Daniel works with the world’s largest technology brands exploring Digital Transformation and how it is influencing the enterprise.
From the leading edge of AI to global technology policy, Daniel makes the connections between business, people and tech that are required for companies to benefit most from their technology investments. Daniel is a top 5 globally ranked industry analyst and his ideas are regularly cited or shared in television appearances by CNBC, Bloomberg, Wall Street Journal and hundreds of other sites around the world.
A 7x Best-Selling Author including his most recent book “Human/Machine.” Daniel is also a Forbes and MarketWatch (Dow Jones) contributor.
An MBA and Former Graduate Adjunct Faculty, Daniel is an Austin Texas transplant after 40 years in Chicago. His speaking takes him around the world each year as he shares his vision of the role technology will play in our future.
