Cloudera has unveiled five major tech trends set to redefine the industry landscape by 2025, highlighting shifts in data sovereignty and artificial intelligence.
Surge in On-Premise Investments
Organizations are increasingly prioritizing the protection of their data and intellectual property. Chris Royles, EMEA Field CTO at Cloudera, anticipates a significant rise in on-premise investments.
“Next year, on-premise investments will surge as companies seek to protect their data and intellectual property. Companies are investing heavily in data and AI, developing their own IP that they want to keep secure,” Royles explained.
Businesses are opting to keep their data within their own secure environments to maintain control and ensure proprietary information remains safeguarded.
Quantum Computing Ignites a Tech Arms Race
Quantum computing is poised to overshadow artificial intelligence as the next major technological revolution. Royles predicts a fierce competition among companies to leverage quantum capabilities.
“Quantum computing is set to ignite a tech arms race,” he stated. Rapid advancements are underway, with organizations investing in next-generation data centers. These centers require ultra-cold temperatures and specialized infrastructure to support quantum systems.
The potential applications are vast:
- Accelerating drug discovery
- Advancing genetic reprogramming in healthcare
- Pushing energy closer to fusion
- Potentially rendering traditional power sources obsolete
| Technology | Current Leader | Investment Focus |
|---|---|---|
| Quantum Computing | Various global players | Specialized data centers |
| Artificial Intelligence | United States | Advanced AI research |
This table illustrates the competitive landscape, showcasing where investments are being funneled to stay ahead in the tech race.
AI Agents Redefining Decision-Making
AI is set to become an integral part of business decision-making processes. Royles introduces the concept of Agentic AI, which is expected to revolutionize real-time problem-solving.
“Agentic AI is set to drive a wave of innovation, transforming real-time problem-solving and decision-making,” Royles noted. Businesses will develop event-driven architectures allowing AI to respond instantly to real-life events.
Imagine AI systems that can adjust logistics in real-time based on traffic patterns or modify telecom strategies based on user behavior instantly. It’s a game-changer for industries like telecoms and logistics.
However, with AI becoming ‘always on,’ data management challenges are expected to resurface.
Data Management Challenges in an AI-Driven World
As AI becomes ubiquitous, the volume and variety of data generated will skyrocket. Royles warns of the complexities this poses for organizations.
“With AI everywhere, the amount of new data generated will skyrocket. This will reignite data management challenges as organizations strive to gain insight from a growing volume and variety of AI-generated data,” he commented.
Robust data management strategies will be crucial. Companies must develop systems that can efficiently handle and analyze the influx of AI-generated data to unlock its full potential.
Paul MacKay on Realistic AI Applications
Paul MacKay, Regional VP for Cloud EMEA at Cloudera, emphasizes the need for companies to demonstrate their AI capabilities realistically.
“Companies will get real with AI next year or risk losing business. After the hyperbolic narrative around AI for the last 18 months, 2025 will be the year of realism, as customers look to make AI work for them,” MacKay stated.
He underscores the importance of a defined focus in AI deployments. Companies that can prove their AI solutions will thrive, while those that merely talk about AI without delivering tangible results may disappoint their customers.
The Push for Sovereign Cloud Solutions
With the increasing focus on data sovereignty, there is a growing interest in sovereign cloud solutions. Royles points out that major hyperscalers like AWS and Microsoft are adapting their offerings.
“Hyperscalers like AWS and Microsoft have recognized that the repatriation of data will affect their business models, prompting them to offer more localized, regulatory-compliant cloud options,” he noted.
This shift ensures that businesses can comply with regional data regulations while still leveraging cloud technologies. It’s a strategic move to balance the benefits of cloud computing with the need for data control and security.
