How network APIs are transforming telcos [Q&A]
As network Application Programming Interfaces (APIs) unlock more advanced capabilities like Quality on Demand, Device Location, Number Verification, and SIM Swap, they will also support cutting-edge solutions like private 5G networks using network slicing, which grants enterprises greater autonomy and control over their wireless networks.
We spoke to Doug Makishima, advisor to the Mobile Ecosystem Forum, to discuss the impact of network APIs as well as how mobile network operators (MNOs) are moving from being 'data pipes' to adopting Network-as-a-Service (NaaS) models and what this means for the industry
Why using AI as a replacement for junior developer talent is a mistake [Q&A]
By 2026 it's estimated the IT skills shortage will affect nine out of 10 organizations, an issue that will only be exacerbated by the growing 'silver tsunami' of seasoned professionals retiring from the industry.
This shortage presents a challenge to almost every organization, especially as IT professionals are being asked to usher their company into the digital age and incorporate new technology into existing workflows.
The impact of AI in the legal sector [Q&A]
AI is changing many industries. In the legal sector it's altering how businesses operate, automating routine tasks and boosting productivity for lawyers.
We spoke to Alon Shwartz, CTO and founder of Trellis AI, to find out more about AI’s transformative effect on the legal world.
How cognitive load measurement can increase trainee performance [Q&A]
Proper training is vital to success in pretty much any job. That's even more true in complex and stressful environments.
How much the brain can cope with at any time, or 'cognitive load' is an important part of the process. We spoke to Nial Campion, co-founder of virtual reality training specialist VRAI, who believes that managing cognitive load is critical for developing the skills and resilience necessary for effective performance in high-stress environments.
Combating misinformation with AI document management [Q&A]
Many organizations rush to implement AI chatbots without addressing their document management issues first, but when these systems deliver incorrect information it can create significant risks.
But while AI is part of the problem it can also be part of the solution. We spoke to Stéphan Donzé, CEO of AODocs, to find out more.
The challenges of using AI in software development [Q&A]
Artificial intelligence has found its way into many areas, not least software development. But using this technology isn't without problems around security, code quality and more.
We talked to Vibor Cipan, senior manager -- developer relations, community and success at AI coding agent Zencoder to find out more about the challenges of AI development and how to address them.
Cloud waste -- why it's a problem and how to tackle it [Q&A]
In recent years, businesses have stampeded to move systems to the cloud. But in doing so they often unwittingly introduce multiple layers of virtualization which means they can be paying to run the same processes multiple times.
Can optimization techniques help to improve performance and cut cloud costs? We spoke to Dr. Ignacio M Llorente, CEO and founder of OpenNebula Systems to find out more.
Navigating data privacy and security challenges in AI [Q&A]
As artificial intelligence (AI) continues to reshape industries, data privacy and security concerns are escalating. The rapid growth of AI applications presents new challenges for companies in safeguarding sensitive information.
Emerging advanced AI models like Deepseek, developed outside the US, underscore the risks of handling critical data. We spoke to Amar Kanagaraj, CEO of Protecto -- a data guardrail company focused on AI security and privacy -- to get his insights on the most pressing AI data protection challenges.
The in-demand AI job roles and what they mean for business [Q&A]
As artificial intelligence finds its way into more and more areas there are concerns around accuracy, security, jobs and more.
Addressing these means organizations will need to fill some new roles. To find out what they are and what impact they will have we spoke to Aimei Wei, chief technical officer and co-founder of Stellar Cyber, to get her views on the AI hiring market.
Identity verification shifts in 2025 and what they mean for business and consumers [Q&A]
Generative AI is already defeating traditional identity verification (IDV) methods like knowledge-based authentication, 2FA, and more.
This shift is likely to see the acceleration of new forms of IDV in 2025 that place a greater emphasis on ensuring they're both more secure and easy for people to use. This will result in a convergence of customer identity and access management (CIAM) which essentially gives customers more control over their identity and verification.
What compliance with PCI DSS 4.0.1 means for businesses [Q&A]
The latest revision to the PCI DSS standard for protecting payment data, PCI DSS 4.0.1, was announced last year and came into force last month.
But what do these new requirements mean for businesses? We spoke to Simon Wijckmans, CEO at web security platform c/side, to find out.
How agentic AI takes GenAI to the next level [Q&A]
Agentic AI has been in the news quite a bit of late, but how should enterprises expect it to impact their organizations?
We spoke to Mike Finley, CTO of AnswerRocket, to discuss Agentic AI's benefits, use cases and more.
How software engineering can tackle performance challenges [Q&A]
Software engineering organizations often grapple with challenges that hinder their output -- including productivity blind spots, duplicate work, deadlines that don't stand a chance, burnout, and other hidden costs that eat up time and energy.
And while metrics can signal a problem, they don't always uncover the root cause or -- more importantly -- how to fix it. To explore this, we spoke to Joe Levy, CEO of Uplevel, an engineering optimization system helping developers independently measure the ROI of AI adoption.
Reskilling IT for AI and machine learning environments [Q&A]
As AI and machine learning technologies rapidly evolve, IT professionals must continuously adapt their skills to stay competitive in the workforce. This requires not only technical expertise but also a commitment to lifelong learning, including earning relevant certifications and developing crucial soft skills like communication and adaptability.
Companies can support this growth by fostering a culture of continuous learning, offering reskilling and upskilling opportunities, and providing tailored training paths for their employees. By prioritizing ongoing development, businesses can ensure their workforce remains at the forefront of emerging technologies, preparing them for the challenges of the AI-driven future.
How AI-enhanced cyberattacks are redefining the modern threat landscape [Q&A]
Despite still being in its infancy, it would be hard to overstate the impact that AI has already had on the cybersecurity landscape.
Not only has AI made it infinitely easier and faster to develop a wide range of traditional attacks -- such as phishing, business email compromise and malware -- it has also opened the door to novel strategies and threats. Worse yet, they allow threat actors to develop significantly more targeted and sophisticated attacks, regardless of their knowledge level or skill.
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