Connect with us

Tech Interviews

Get Set For Big Data Analytics

Published

on

From infrastructure requirements to ensuring data security, compliance with the GDPR, and getting the right talent to handle big data, Sunil Paul, Co-founder and COO, Finesse, tells The Integrator, what it takes to make the most out of Big Data Analytics.

Q 1. What measures are businesses adopting to handle big data?

A1. The amount of data, organizations capture daily, has exponentially increased.  Recently, with the policy changes implemented using GDPR, it has become critical for companies to use their data responsibly. GDPR laws have enforced that companies notify their data protection authority of any data breach within the first 72 hours when they become aware of it. Similar compliance laws have made it critical for companies to not only monitor their data efficiently, but also increase their infrastructure to store and query their data at the capture stage. Hence, businesses are moving towards tools that can facilitate such capture and query of data in large scale, as well as scale their existing infrastructure to accommodate for this.

Q2. Can businesses use old and new data simultaneously?

A2. A multi-faceted approach is essential to capturing and analyzing data. For example, a lot of security and event management tools use the Suricata engine on top of them to detect any network intrusion or threats to their network. Suricata is an open source network threat detection engine. Hence, any new network data can be compared with Suricata’s threat detection patterns, and suspicious activity can be flagged before it is too late. This kind of preventative security analytics is what most enterprises with sensitive data are implementing. To have such systems in place, it is essential to use both new and old data concurrently. Another area that businesses use old data is while launching updated and enhanced products. They can analyse past data about products and customer feedbacks. The real time (new data) shows shifts in demand and supplies, analyzes consumer needs, preferences, and buying behaviour. They can use these to better the product or launch new ones in the future.

Q3. How can businesses derive maximum benefit from Big Data Analytics?

A3. Big Data Analytics help provide business intelligence that reduces costs and improves efficiency of operations. Big Data Analytics can analyse past data to make predictions for the future. Thus, it helps the present as well as the future. Some of the areas that organizations currently use big data to derive insights include network monitoring, and security and incident management. However, lately there has been a rise in using big data to capture data related to IoT devices and monitor user behavior. These provide a better framework for decision making and risk management. All these results in giving businesses the competitive edge.

Q4. How important is infrastructure for Big Data Analytics?

A4. All businesses want to be part of the big data wave, wanting insights for better decision making. But without the right tools, they all end up wading through enormous data. Big data starts at the infrastructure level. Once the appropriate hardware is in place, businesses can focus on database and applications. Thus today’s infrastructure definitely needs not be the bottle neck, but to be able to handle enormous amounts of data – it has to be high performance in processing as well as have huge storage power. On another level, when it comes to security and event management, there has been a huge spurt in the need for the right infrastructure and tools in place to combat security and data breaches. The recent ransomware attacks, have increased the number of threats coming from unpredictable avenues such as IoT devices that may not have the same level of security protection as most computers.

Q5. What can businesses do to ensure a Big Data Analytics framework that is both agile and scalable?A5. Businesses must continue to build robust frameworks for their IT environments that are flexible for future scalability. These should be able to segment useful data from clusters of data available (both organised as well as unorganised data). This analysis needs to be done by talented personnel who have the skills to make sense out of big data. This is the reason businesses need to invest in getting the right skill set for analysis – right from recruitment to training. All these are useless unless businesses have the right infrastructure to handle and store all the big data.

Q6. What concerns must be addressed about privacy and integrity of big data?

A6. With the recent enforcement of GDPR policies, there is greater awareness of the rights of consumers. Since the advent of the internet until now, most consumers who access certain software or websites blindly think that their information has been in safe hands. But as we all know now, this hasn’t entirely been true. Sometimes, consumers have to waive away any privacy rights when they agree to the software license terms that they accept before using any software. GDPR has pushed companies to be more transparent on these policies, and be clear on how consumer data will be used or maintained by them.

Tech Interviews

INTERSEC DUBAI 2026 – AI-Powered Security Cameras: From Reactive Monitoring to Proactive Intelligence

Published

on

Rudie Opperman, Regional Manager Engineering and Training MEA at Axis Communications, professional headshot portrait

Rudie Opperman: Regional Manager, Engineering & Training – MEA at Axis Communications

  1. How is AI transforming the role of security cameras from passive monitoring tools into intelligent decision-making systems?

AI is fundamentally changing what security cameras are used for. Cameras are no longer just recording devices that capture footage for review after an incident. They are becoming intelligent sensors that can interpret what is happening in real time.

With AI built directly into the camera, systems can detect objects, recognise patterns and identify unusual behaviour as events unfold. This enables organisations to move from reactive monitoring to proactive decision-making, responding faster and more accurately without relying solely on manual observation or post-incident analysis.

Axis will demonstrate this shift in practice at Intersec Dubai 2026, showing how intelligence at the edge enables cameras to generate actionable insights directly at the source, supporting faster decisions, improved safety and stronger operational outcomes across complex environments.

  • How can AI in security cameras enhance operational efficiency while reducing manual monitoring costs?

AI significantly reduces the reliance on continuous manual monitoring by filtering out routine activity and directing attention to events that genuinely require action.

Instead of operators watching multiple screens or reviewing large volumes of footage, analytics highlight exceptions such as unusual movement, safety risks or policy violations. This improves response times, reduces operator fatigue and allows teams to manage larger or more distributed environments without increasing staffing levels.

For organisations operating at scale, this approach delivers measurable efficiency gains while maintaining high levels of situational awareness and control.

  • What are the key benefits of edge-based AI processing in security cameras?

Edge-based AI enables data to be processed directly within the camera rather than being sent to central servers or the cloud for analysis.

This allows insights to be generated immediately at the scene, supporting faster response and more reliable system behaviour. It also reduces bandwidth usage and storage requirements, lowering infrastructure demands and overall system complexity.

Processing data locally strengthens resilience and privacy, as systems rely less on constant connectivity and continue to function effectively even in constrained or demanding environments.

  • What industries are seeing the greatest impact from AI-enabled surveillance today?

AI-enabled surveillance is delivering the greatest impact in environments where real-time awareness, safety and operational continuity are critical.

This includes sectors such as critical infrastructure, transport and logistics, industrial facilities, smart cities and large public venues. In these settings, AI helps organisations detect issues earlier, respond more effectively and maintain smooth operations in complex or high-risk conditions.

Increasingly, security cameras are also being used as sources of operational data, supporting compliance, planning and informed decision-making beyond traditional security use cases.

  • How is Axis leveraging AI to deliver smarter, more reliable, and future-ready security camera solutions?

Axis embeds intelligence directly into its devices and designs systems around open, scalable platforms that can evolve over time.

By combining edge-based analytics, purpose-built processing technology and a strong ecosystem of partners, Axis enables customers to adapt their systems as operational needs change. This approach supports long-term reliability, cybersecurity and consistent performance across the system lifecycle.

Rather than forcing frequent hardware replacement, Axis focuses on architectures that allow intelligence and functionality to grow through software, ensuring systems remain relevant, secure and effective as technology and use cases continue to evolve.

Continue Reading

Tech Interviews

Unlocking ROI: How Sovereign AI Platforms Accelerate Innovation

Published

on

Person wearing a dark navy business suit over a white collared shirt, photographed against a plain white background. The image is a professional corporate portrait used for Enterprise DB branding

Exclusive Interview with Kevin Dallas, Chief Executive Officer, Enterprise DB

You interviewed more than 2000 senior executives across 13 countries about how they are planning for a genetic AI world. Why a genetic AI and why now?

Well, first of all there’s a large economic opportunity around AI. We forecast to be $16 trillion by 2030, and there’s about a trillion dollars that’s going to be spent in the area of AI over the next 12 months alone. So, every enterprise, every nation is investing in AI.

And when we say AI, there’s different types of AI. There’s generative AI, genetic AI, physical AI, and the time is now for that investment. You’re seeing it in the event today where many companies are making investments across the AI spectrum.

What is the data and AI sovereignty, and what happens when enterprises make it a mission-critical part of their strategy?

Well, to be able to actually run these intelligent applications, there is a need for a sovereign data and AI platform from EDB, Enterprise DB, our partners, NVIDIA, RedHat, and Supermicro. And with this new sovereign platform, we hope to deliver our customers the platform that they need to drive rapid innovation around these new AI applications.

Data sovereignty is gaining increased attention globally in the Middle East and the surrounding markets. How is EDB ensuring compliance, trust, and performance in your deployments?

Well, first of all, we’re finding that in this survey, it was very interesting, 95% of respondents are investing in a sovereign data and AI platform over the next three years.

And what they’re seeing is real benefits. They’re seeing two to three extra the velocity in terms of building out AI applications, and they’re seeing a five-fold increase in ROI. So, this is driving a lot of attention around this space.

Now, from an EDB perspective, we are delivering a standard sovereign data and AI platform that accelerates our customers to market. So, it’s a plug and play platform that resolves the security issues, compliance issues, and regulatory challenges that our customers have in a plug and play way.

How important is the UAE or the GCC region for EDB? Can you tell us about your corporate strategy in the GCC and how that aligns with the regional’s national agenda?

Well, what we found is that the biggest investments globally in sovereign data and AI are actually happening here in the region, in the UAE. There is a national vision that’s been set around open and around sovereign data and AI.

So, we’re very aligned in terms of our approach here. And the region, it’s very much like a Silicon Valley of sovereign data and AI, where there’s a lot of rich discussion around new use cases that our partners and our customers want to enable today versus tomorrow. So, it’s here and now in the region.

Looking ahead, six to 12 months from now, what is your message to the enterprises, governments, and other organizations who are considering or already on the AI journey?

I think in the next six to 12 months, focus on building your own sovereign data and AI platform. By doing this, it’s going to have a fivefold increase in your ROI and certainly increase your velocity to market.

But there is also, I think, a misconception. When we talk about sovereign, we talk about the benefit of secure, we talk about the benefit of compliance and regulatory requirements. Meeting those criteria, in some cases, can be viewed as slowing down the rate of innovations.

The opposite is true with our platform. By using a platform that has this capability built in, you’re able to accelerate your time to market.

How does EDB Postgres AI support data sovereignty in practice?

From a sovereign data and AI platform perspective, there are five key criteria that our customers need in the platform. One, open source based. This guarantees interoperability, access to talent, and it avoids vendor lock-in. This is something that even at a national level is important, open source based.

Second, the need to support multiple workloads, transactional, analytics, and AI workloads on one unified platform. Not three, but one. Third, there’s a need for a low-code, no-code application development environment. An environment that accelerates your time to market, an environment that democratizes AI for all.

So, you don’t have to be a developer, you can be a business decision maker and still create applications. Fourth, there needs to be a single pane glass view across the estate so you can monitor, secure, and drive compliance and meet those regulatory requirements across your entire estate. And then last, but by no means least, you need to be able to deploy in a hybrid fashion, meaning it’s not all about running workloads in the cloud.

You need to be able to run workloads on-prem, in the cloud, or in a dedicated system. So Sovereign is really those five things. It’s the ability to deploy in a hybrid manner.

It’s the ability to view your estate through a single pane of glass. It’s the ability to be able to run in a rich and dynamic low-code, no-code app environment, run multiple workloads, and of course, being open source.

Continue Reading

Tech Interviews

Regional Enterprises Lead Global Push for Data and AI Sovereignty

Published

on

A person wearing a dark navy textured blazer over a white dress shirt, seated against a plain white background. The blazer features a small lapel pin with a blue and white design

Exclusive interview with Kash Rafique, Vice President and GM Middle East and Africa, Enterprise DB

What are your top priorities and what do you want the region to see from EDB that’s new and different at this year’s GITEX?

I think certainly from a messaging point of view, there’s no doubt that sovereignty is the new intelligence on how we move forward in this market. I think what we’re seeing is that our customers are looking for speed, they’re looking for control of their data within their boundaries, and this is making a big difference really to customers and enterprises in the region. I think that’s where we come in as a trusted player, a partner in the region.

What you’re seeing here at the stand today at EDB is really an alignment of that, the immersive experience here we’re giving to our customer to help them understand some of the solutions that we’re able to provide so far as speed is concerned, control of their data within that sovereignty realm is really something that we are showcasing here.

Can you walk us through to the Sovereignty Matters report, which is quite interesting. What are the biggest takeaways for local enterprises?

First of all, I think we should be very proud, of UAE and the Kingdom of Saudi Arabia, because really they’ve come on top of a global report across 13 economies, across 2,000 enterprises, right the way across the globe. I think what is really appealing or revealing from the report is that 17% of organizations in this region are deeply committed to both data and AI, and this is a significant amount. Compare that to what we are seeing globally, which is 13%, or compare it to the UK, which is 10%, this is significantly higher.

It shows real intent and focus on the sovereignty areas, and I think that’s a big thing. The other thing that we see is the 5x return that enterprises are getting from that commitment that they’ve made. I think this is also very, very testimonial on the kind of return that we’re able to see from the sovereign AI solutions that clients are adopting in this region.

And the third one is 2 ½ x are very confident that they will be leading their industries within their respective areas within the next three years. I think this is a fantastic finding. Again, I think the region should be very, very proud of these results.

How is EDB preparing to lead and support its customers through your local office?

So, the local office is there as a hub to support a very important omnichannel of our business here, and that is related to the partners, the alliances, and the ISVs that are regionally based. The office will be used for workshops, training, engineering, and client innovation centers that we’re planning to build as we move through this year.

We certainly looking forward to is building our relationships even further with key partners such as NVIDIA, IBM, Supermicro, Red Hat, and also many of our local partners. We call them our boutique partners, but they’re also equally important. So, from this perspective, it’s a very important base for us.

It provides a hub, it shows investment, and it shows real commitment in the sovereignty space that we’re actively involved with here in the region.

Continue Reading

Trending

Copyright © 2023 | The Integrator