Tech Features
UiPath Highlights 2025 AI and Automation Trends Set to Transform Enterprises

2025 will be the year of AI maturity in the enterprise. The evolution of AI has reached a point where increasingly, AI-powered agents will have the capabilities that make them indispensable to knowledge workers. This opens the door for Agentic Automation – a new level of AI support from which employees and companies will be able to benefit reliably for the first time.
UiPath (NYSE: PATH), a leading agentic automation and AI company, sheds light on what to expect in the coming year in its AI and Automation Trends 2025 report. UiPath’s predictions are based on extensive market analysis, current developments in AI research and experience from working with over 10,000 companies worldwide.

Area Vice President And Managing Director
UiPath Middle East and Africa
“AI has long since left the status of a trend behind. 2025 will be the year in which it establishes itself as an indispensable work tool in many industries through agent-based automation,” says Zakaria Haltout, Area Vice President MEA at UiPath. “The latest Astra Tech study reveals that in the MEA region, 65% of organizations are prioritizing AI-driven strategies, particularly in finance, government, and healthcare. As companies focus on addressing scalability and integration challenges, Agentic AI is poised to accelerate digital transformation and redefine operational efficiency.”
Autonomy within orchestration
The trends that lie ahead are undoubtedly linked to the development of technology. It is therefore a good place to start when analyzing the expected direction its use will take.
Trend I. The rapid development of AI agents that autonomously understand, plan and operate within complex workflows.
Prediction: Agent-based AI will allow companies to automate complex processes with minimal supervision, increasing productivity and opening up new opportunities for industry-specific automation solutions.
Preparation: Subject at least one process to agent automation. Passivity stifles innovation, so it is worth joining the pioneers in agentic AI or at least keeping a close eye on their activities.
Trend II. With the development of agent-based artificial intelligence, orchestration is becoming increasingly important.
Prediction: In order to realize the full potential of agentic AI, businesses will need a dynamic infrastructure that enables humans and robots to collaborate with agents. Additionally, it will need to enable their creation, deployment, as well as monitoring of their activities with transparency and compliance.
Preparation: Create a plan for the introduction and scaling of an agentic AI environment, taking into account the need for human oversight and the role of RPA robots as the ‘hands and feet’ of new agents.
New business strategies
Next year’s changes will not only affect the technology behind AI itself, but also the ways in which it can be used in a business context. Organizations will be rethinking how they approach problems such as technology debt or the lack of a concrete strategy when implementing AI.
Trend III. Executives are disillusioned with spending millions on AI without the expected results. Companies that implement AI without clear strategies to measure and demonstrate ROI will struggle to justify the costs.
Predicion: Companies need to develop procedures to track and measure the impact of AI on key business outcomes such as productivity, cost savings and revenue growth. The role of business technology providers will also increase. One of the most widespread uses of AI are ‘copilots’, which help employees with various office tasks. These are being developed by major enterprise technology providers such as Microsoft, GitHub and Google and are yielding excellent results. For example, UiPath has created Autopilot for Developers, which reduces automation development time by 75%.
Preparation: A greater focus on AI ROI measurement tools and strategies, a thorough analysis of the company’s use of the technology and training in the use of embedded tools such as copilots.
Trend IV. Heads of technical departments are turning to AIOps (Artificial Intelligence for IT Operations) tools to streamline operations, automate routine tasks and improve system reliability.
Prediction: As organisations increasingly rely on complex digital infrastructures, many are struggling with technology debt – accumulated inefficient processes and outdated systems that can slow down innovation or increase the cost of operations.
Preparation: Investing in AIOps can prove invaluable for managing technology ecosystems more effectively. This will reduce short- and long-term technology debt, while freeing up resources to drive innovation.
Regulatory landscape
Trend V. Escalating regulation: global lawmakers are working to control the power of AI.
Prediction: The AI Act introduced by the European Union could result in the first fine related to artificial intelligence. The EU is spearheading the introduction of increasingly restrictive regulations on the technology. This could discourage investment in AI within the EU and stifle growth, or alternatively become a model for legislation in the US, UK and Asia-Pacific, which the AI research communities are still waiting for.
Preparation: Implement robust data governance and adequate security measures, prioritise transparency as well as comprehensibility of AI algorithms and establish clear accountability structures for AI-related decisions.
Tech Features
Sustainable AI Practices Driving Ethical and Green Tech

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


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!

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.
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