Tech Features

Tech’s Big Bang in 2025: AI is the Spark Igniting a New Era

Published

8 months ago

January 22, 2025

By John Roese, Global Chief Technology Officer and Chief AI Officer – Dell Technologies

The year is 2025, and we’re witnessing the technological equivalent of the “big bang” with AI at the epicenter of how we live, work and play. Just as the universe expanded rapidly after its inception, technology is exploding into new realms, redefining industries and reshaping our future. Whether you’re a tech enthusiast, business professional, innovator or student, understanding these shifts is vital to navigating this brave new world.

The Rise of Agentic AI Architecture

“Agentic” will be the word of the year in 2025. The birth of agentic AI architecture marks a new chapter in human-AI interaction. Generative AI (GenAI) tools are evolving to enable AI agents, which are poised to revolutionize how we engage with AI systems.

In the consumer world, we’ve seen early agent approaches with virtual assistants, chatbots and navigation apps. In 2025, a new, more advanced set of agents will emerge. These agents will operate autonomously, communicate in natural language and interact with the world around them, including working in teams of other agents and humans. They will also be fine-tuned and optimized to perform assigned, specific skills, like coding, code review, infrastructure administration, business planning and cybersecurity.

AI agent systems will feature diverse cognitive, orchestration, and distribution architectures tailored to specific tasks. As complexity grows, multi-agent systems will emerge, requiring the rapid evolution of tech stacks to support agentic systems effectively.

To realize AI’s full potential and the rise of agentic architecture, enterprises must upgrade infrastructure – everything from data centers to AI PCs. This distributed infrastructure optimized for agentic AI can address security, sustainability and capacity considerations by distributing the AI workload across the entire IT infrastructure (cloud, data center, edge, and device).

Scaling Enterprise AI From Concept to Reality

Enterprises are poised to take AI from ideation to scale. Enterprise AI is simply the application of AI technology to a company’s most impactful processes in its most important areas to improve the productivity of the organization. It requires customers to answer two important questions:

First, what problem am I trying to solve? Developing a framework to prioritize AI efforts to the most important, impactful areas is critical.
Secondly, how do I solve that problem? AI solutions implemented as random projects on random tools do not scale. Instead, enterprises must determine the minimum set of AI systems needed to build a reusable and scalable AI foundation. This allows them to solve the first set of critical AI problems, and then leverage that investment to solve all future AI problems.

At Dell, for instance, our priority areas are our global supply chain, our services capability, our sales engine and our R&D capacity. Any impact on these areas results in significant ROI over other areas like HR, finance and facilities.

Next, enterprises should look at specific processes in its priority areas. For example, if process analysis uncovers an opportunity not in how salespeople interact with customers, but in how much time they spend gathering content for the customer meeting, that’s a clear AI project. GenAI can be used to automate and accelerate content discovery and creation work. In this case, the ROI is clear: shift sellers’ time back to customer-facing activities and increase revenue.

To execute prioritized projects, enterprises today have multiple off-the-shelf tools from which to choose. So, in 2025 the preferred path is to buy and implement AI tools in their private infrastructure. They can also buy tools that accelerate data modernization (data meshes, for example), and with the Dell AI Factory advancements over the past year, the infrastructure is now simple to adopt and implement.

In 2025, we have clear, repeatable approaches for prioritization and more turnkey and well-defined AI platforms and AI infrastructure options. 2025 is a year when it simply becomes easier to know what to do and how to do it when adopting AI in the enterprise space.

Sovereign AI Accelerates Global Adoption

Sovereign AI efforts are accelerating AI adoption worldwide. This concept revolves around a nation’s ability to create AI value and differentiation using its own infrastructure and data, designing an ecosystem aligned with local culture, language and intellectual property. In an era where data security is paramount, countries are opting for sovereign AI strategies and solutions, often with strong collaboration between the public and private sectors.

Instead of AI systems exclusive to governments, some countries are developing national AI resources to serve both government and local private industry, providing access to compute power and data capacity. Others are implementing a coherent national strategy where governments do not necessarily build new infrastructure but instead proactively and collaboratively co-design and encourage private industry to modernize and lead AI ecosystems.

Sovereign AI empowers nations to increase accessibility, protect critical infrastructure, drive economic growth, and enhance global competitiveness. By fostering the development of AI, it accelerates its adoption. We’re seeing growing investments directed toward infrastructure, data management, talent cultivation, and ecosystem development – and we fully expect to see this trend continue in the years ahead.

AI and the Fusion of Emerging Technologies

AI’s true potential lies in its connections with other emerging technologies. While AI itself is transformative, its impact multiplies when combined with quantum computing, intelligent edge, Zero Trust security, 6G technologies and digital twins, to name a few. This fusion creates a dynamic environment ripe for innovation and addressing existing challenges.

For instance, quantum computing in collaboration with AI will significantly impact most industries by providing the computing capability needed to scale AI to domains where classical computing struggles – likecomplex material science, drug discovery and complex optimization problems.

AI and telecom are already coming together to transform how cellular networks operate and how fundamental elements of these systems, like spectrum optimization, work. Even the future of the PC is influenced by AI, as we now see the AI PC not just as a client device but part of the end-to-end AI infrastructure. With agentic architectures, we expect to shift agents out of the data center and onto the edge or to the AI PC.

Zero trust security and AI also are intersecting. Zero trust architectures are the best path to a better, more secure world and implementing zero trust in brownfield legacy IT is hard. In contrast, AI infrastructure is new and greenfield. We expect customers to adopt zero trust by default in new AI factories for optimal security. Given the criticality of AI, that is a good thing for all of us.

AI Becomes an Essential Skill for Everyone

AI will become an indispensable tool across professions and industries. Much like past technological advancements, AI is poised to transform the job market. Routine, task-oriented roles may diminish, but new opportunities will arise, such as software composers, AI content editors and prompt engineers.

Recent surveys reveal 72% of IT leaders identify AI skills as a critical gap requiring immediate attention. Organizations must invest in developing their workforce’s AI fluency. AI skill development will be focused on defining the AI/human relationship where AI completes more of the tasks, but people define what needs to be done. This allows professionals to focus on higher-level tasks, critical thinking and complex problem-solving.

With AI, it’s not just about the work that goes away, it’s about the new roles humans play in shaping, directing and leading AI work. AI-enabled businesses can use the evolution of the human-machine relationship to accomplish tasks in different ways and expand the art of the possible.

AI is Tech’s Grand Evolution

Just as the Big Bang set the stage for the development of galaxies, stars and planets, the rapid growth of AI is creating new opportunities, industries and ways of living and working.

As we approach 2025, we predict enterprise AI adoption will accelerate dramatically in the coming year. We’re seeing better processes, better tools and a stronger ecosystem. At Dell, our initial AI projects have scaled successfully and demonstrated the potential for ROI is real. We predict the rest of the enterprise ecosystem will quickly follow suit.

For CIOs, staying informed and adaptable will be essential. Organizations must prioritize AI fluency, invest in talent development and explore innovative solutions to remain at the forefront of this tech revolution.

The future belongs to those who can harness the power of AI. Whether you’re a business executive, tech enthusiast, or innovator, the time to act is now. The impact will be profound.

Tech Features

Sustainable AI Practices Driving Ethical and Green Tech

Published

1 month ago

August 12, 2025

Integrator Web-Editor

By Mansour Al Ajmi, CEO of X-Shift

Sustainable AI practices are no longer optional—they are essential for shaping technology that benefits both people and the planet. As artificial intelligence transforms industries from healthcare to transportation, the challenge is to ensure its growth is ethical, environmentally responsible, and socially inclusive. This means addressing not only energy efficiency and carbon reduction but also governance, fairness, and long-term societal impacts.

Why Sustainable AI Practices Go Beyond the Environment?

AI is now deeply embedded in investment strategies, medical diagnostics, media platforms, and public infrastructure. While reducing energy usage is vital, true sustainability also requires ethical governance and the elimination of bias.

For example, biased training datasets can unintentionally reinforce social inequality. Studies, such as those from the MIT Media Lab, have shown that some AI systems perform poorly with diverse populations, highlighting the risk of discrimination. Addressing this means conducting regular algorithmic audits, enforcing transparency, and ensuring diverse representation in AI development teams.

The Environmental Impact of AI

Training advanced AI models consumes enormous computational resources. The process can generate carbon emissions equivalent to hundreds of long-haul flights. To counter this, tech leaders are investing in renewable energy and designing energy-efficient processors and cooling systems.

However, sustainable AI practices should become the default, not the exception. From sourcing materials responsibly to rethinking hardware infrastructure, the focus must be on green innovation by design.

Embedding Sustainability at the Strategic Core

Sustainable AI practices work best when integrated into an organization’s core strategy. Aligning AI solutions with the UN’s Sustainable Development Goals (SDGs) can directly support climate action, reduce inequalities, and promote responsible consumption.

In the Middle East, initiatives like Saudi Arabia’s Vision 2030 and the UAE Strategy for Artificial Intelligence demonstrate how sustainability and AI can align with national priorities. These strategies not only meet ethical standards but also deliver competitive advantages, building consumer trust and fostering innovation.

Governance for Responsible AI

Strong governance is key to ensuring sustainable AI practices are upheld. Regulatory frameworks, such as the European Union’s AI Act, guide transparency, accountability, and fairness.

Governance should enable innovation while preventing harm. Public-private partnerships, global cooperation, and industry alliances are critical to creating ethical, scalable, and resilient AI ecosystems.

Preparing the Workforce for the AI Era

McKinsey estimates that AI adoption could displace up to 800 million jobs by 2030. Sustainable AI practices must include reskilling and upskilling initiatives to ensure inclusive economic growth.

By investing in training programs, organizations can help employees transition to new roles in AI-related fields. This proactive approach strengthens workforce agility and supports long-term resilience.

Leadership’s Role in Driving Sustainable AI Practices

AI can significantly advance sustainability goals, from optimizing supply chains to reducing environmental waste. Companies like Unilever are already using AI to achieve greener operations, proving its real-world potential.

Yet leadership commitment is essential. Executives must set measurable goals, model ethical behavior, and integrate sustainability into company culture. This ensures that sustainability is not a side project but a core business value.

The Shared Responsibility for a Sustainable AI Future

Creating a sustainable AI future requires collaboration between individuals, corporations, and governments. Citizens should stay informed and question how AI affects them. Companies must embed sustainability into their AI strategies, while governments need to establish policies that encourage responsible innovation.

By acting now, we can ensure AI evolves as a force for good—advancing technology without sacrificing ethics, equity, or environmental stewardship.

Check out our previous post on WHX Tech 2025 to Drive Global Digital Health Transformation

Tech Features

Epicor CMO Kerrie Jordan to Drive Global Marketing Growth

Published

1 month ago

August 12, 2025

Integrator Web-Editor

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Kerrie Jordan - Epicor — Kerrie Jordan – Epicor

Epicor CMO Kerrie Jordan has been appointed to lead the company’s global marketing strategy. This move marks a pivotal moment in the enterprise software leader’s expansion. Epicor, known for its industry-specific solutions for the make, move, and sell economy, announced the news on August 12, 2025, in Dubai.

Jordan brings a rare combination of senior product innovation and strategic marketing expertise. She will strengthen the Epicor brand, expand market reach, and deepen customer engagement worldwide.

Epicor CMO Kerrie Jordan Brings Product and Market Expertise Together

Vaibhav Vohra, Epicor President and Chief Product & Technology Officer, eVaibhav Vohra, Epicor President and Chief Product & Technology Officer, emphasized the importance of the appointment.

“Kerrie’s ability to connect product strategy with market execution makes her an ideal fit. Her leadership has already shaped our Cognitive ERP vision, and we’re excited to see her bring that same energy and insight to our marketing efforts.”

Since joining Epicor in 2023 as Group Vice President of Product Management and ISV Partner Programs, Jordan has advanced the company’s Cognitive ERP roadmap. This AI-driven approach turns ERP from a system of record into a system of action and insight, empowering supply chain businesses to operate smarter and faster.

A Vision for Accelerated Innovation and Growth

In her new role, Jordan will unite product innovation, analytics, and go-to-market strategies to accelerate customer time-to-value. She will also foster innovation and support Epicor’s global expansion.

“I’m honored to expand my role at Epicor,” Jordan said. “Epicor is at the forefront of enabling essential businesses to thrive through AI-driven, connected technologies. I look forward to amplifying our impact, building stronger relationships with customers and partners, and driving growth across global markets.”

A Career Built on Technology Leadership

Before joining Epicor, Jordan served in senior product marketing positions at Oracle. She developed strategies for enterprise software solutions and helped drive adoption. Earlier in her career, she led strategic marketing programs for technology clients during her consulting roles at global marketing firms.

Jordan is a recognized voice in cloud ERP, digital transformation, and supply chain innovation. She hosts Epicor’s “Manufacturing the Future” podcast, which features industry leaders discussing trends shaping manufacturing and supply chain sectors. She is also a Forbes Tech Council contributor. Jordan holds a Bachelor of Science in Marketing from Santa Clara University in California.

Epicor’s Commitment to Industry-Focused Growth

Epicor has served customers across automotive, building supply, distribution, manufacturing, and retail for more than 50 years. The company’s solutions are tailored to industry needs and adaptable to fast-changing market conditions.

Check out our previous post on WHX Tech 2025 to Drive Global Digital Health Transformation

Tech Features

In-Hand Comfort Meets Elegant Design – A UI You’ll Love and Performance You Can Count On– Meet Oppo’s Reno 14 Series!

Published

1 month ago

August 11, 2025

Integrator Web-Editor

Oppo Reno 14 Series promotional collage highlighting design and performance

Reviewed By Srijith KN
Device Reno 14F 5G

In today’s crowded smartphone market, very few devices make a lasting impression from the first hold. The Oppo Reno 14 Series does exactly that. Its rounded front design, sharp edges, and striking Iridescent Mermaid finish give it a premium look that stands out. At just 7.42 mm thick and 187 g, with aluminium-framed edges, it feels light yet sturdy in the hand.

The 6.57-inch LTPS OLED display offers a 120 Hz Full HD+ experience with HDR10+ support and a peak brightness of 1,200 nits. While the brightness could be slightly higher, the rich colour tones make it ideal for streaming and gaming. The high refresh rate ensures smooth scrolling and responsive visuals.

Display & Performance in the Oppo Reno 14

Powered by the Snapdragon 6 Gen 1 mobile platform, paired with 12 GB of RAM and 512 GB of UFS 3.1 storage, the Oppo Reno 14 Series delivers fluid performance. Everyday tasks, multitasking, and gaming feel effortless. Even after a month of use, there’s no lag, and the phone remains cool under pressure.

The signal reception is equally reliable, performing well even in remote mountain regions. For gamers, the combination of smooth frame rates and strong connectivity makes it a dependable choice.

Camera Setup Built for Creativity

The Oppo Reno 14 Series brings a 32 MP front camera and a triple rear camera system (50 MP + 8 MP + 2 MP). It supports 4K 60 fps HDR video recording, delivering sharp and vibrant footage. Oppo’s image processing handles lighting well, although the AI can occasionally produce slightly artificial tones. When it dials back the processing, the results are impressively natural.

Selfies from the front camera are detailed, making it a strong option for content creators. AI-powered tools such as AI Eraser, AI Reflection Remover, AI Unblur, AI Recompose, and AI Perfect Shot add versatility. Beyond photography, features like real-time translation and cloud-based voice transcription offer extra value.

Battery Life & Charging Speed on the Oppo Reno 14

Battery performance is one of the standout features. The massive 6,000 mAh battery easily lasts over a day of heavy use. Paired with 80 W fast charging, it goes from 0% to 100% in just 40–50 minutes, reducing downtime significantly.

Software and User Experience

Running on ColorOS 15, the interface is polished and responsive. The design is intuitive, though it comes with pre-installed apps that many users may want to remove for a cleaner setup. The combination of IP69 water and dust resistance, strong haptics, and a promised five years of major updates enhances its long-term value.

Verdict: A Strong Contender in Its Price Range

The Oppo Reno 14 Series blends premium design, solid performance, long battery life, and camera versatility into a package that offers excellent value. Whether for everyday use, creative projects, or gaming, it meets a wide range of needs without compromise.

For readers who enjoyed this review, check out our previous feature on Sustainable Tech: How Globant Shapes a Greener Tomorrow to see how innovation is shaping the tech industry.