Data – The modern lifeblood of heavy industries in the Middle East

Data – The modern lifeblood of heavy industries in the Middle East

Geir Engdahl, Co-Founder & Chief Technology Officer, Cognite

 

Inside nearly any type of business is a treasure trove of data. It’s the companies that understand how to maximise the value of that data and use it to improve decision making, accelerate innovation, enhance the customer experience and drive operational efficiency that will have the competitive advantage. However, it’s easier said than done and companies may find extracting this data value to be challenging.

Siloed data, outdated tools and shadow IT are the most common hurdles faced by industrial businesses. These are the barriers that companies need to overcome if they aim to democratise data and analytics, streamline collaboration and accelerate time-to-insight. The global skills shortage represents another barrier and it’s clearly one that must be addressed if companies are to have access to the right talent pool to tap into that data.

 

Tackling proprietary data protocols

When looking at process-heavy industries, focusing on core operational technologies is key. Systems from multiple vendors, each paired with proprietary protocols, can lock down data, and these systems have an average lifespan of around 20 years. The impact of this mix of legacy kit, disparate control systems, non-compatible data models and communication interfaces can limit a company’s ability to collect and contextualise its data.

Cognite experienced this challenge first hand when it supported an oil and gas company that had 30 oil platforms with more than 300 wells. The operator lacked a unified overview of maintenance activities within and between all assets – ultimately a costly and ineffective way of working. As the data team coming in to fix this challenge, the Cognite focus was on ensuring that this business didn’t have too many disparate control systems using proprietary data models and communication. By bringing these systems together into a shared platform, this oil and gas operator could consequently optimise scheduling, improve communication across organisational silos and make data-driven decisions.

 

Concentrating on user needs

The secret recipe for many successful companies is to maintain a laser focus on their users and on improving their operational efficiency and their ability to make rapid and higher confidence decisions. Data plays a role here, and the work to structure an organisation’s data can bring value to multiple users. The key is understanding how people interact with data across the operation and be aware of how the data needs to be presented to the various roles in the company. By maintaining a user-centric focus and having a solid foundation of scalable data, companies can accelerate time to value.

Across industrial operations there is also a major focus on data analytics to support optimised decision making and to enhance operational efficiencies. In the future, this could lead to the adoption of AI and machine learning to intercede in the operation of industrial facilities in complex use cases, such as where Distributed Energy Resources (localised energy generation) is deployed.

Environmental impact is also something increasingly important for users. One example of this is from another Cognite customer, Aker BP. This oil and gas company used machine learning smart monitoring systems to visualise all data relevant for troubleshooting water contamination and identify factors related to high oil-in-water concentrations. This helped the company decrease its time spent on mitigating actions, a savings equivalent to an annual revenue potential of $6 million. So, concentrating on user needs not only helps to unlock the power of data, it also to drive operational resilience.

 

Using trusted data sources

 

Industrial data empowers everyone who engages with it but the analytics and applications that leverage this data will come from the end users, software providers and equipment manufacturers. When you have a trusted data source with common assets you have a very strong basis for using low code to develop in-house applications, as well as AI to enhance decision accuracy. Given the current industrial landscape, as well as greater market requirements, such as data-intensive carbon reporting and business model disruption from digital technology adoption, companies that do not focus on data as a key asset will face a significant competitive disadvantage.

In the last few years, we’ve seen digital technology adoption increase across the Middle East as businesses in the region look to industry 4.0 tools to enhance their operations and formulate better data driven strategies. A latest study by IDC forecasts enterprise IT spending in the Middle East, Turkey & Africa to grow by 2.7percent in 2022. The same report also estimates regional spending on AI to grow by 24.7percent and big data analytics to grow by 8.1percent this year. Regional businesses that can adjust their people and processes will have a first-mover advantage in this new data-driven era. Those that remain wedded to past investments will eventually have to shoulder twice the technology debt.

Unlocking the power of data will be key to ensuring companies can maintain business continuity, drive operational resilience and grab on to all the benefits they can from emerging technologies.

Technical standards have a key role in achieving the SDGs

Technical standards have a key role in achieving the SDGs

“Standards are a hidden part of the information and communications technology networks and devices we all use daily”. This is how according to Chaesub Lee the technical standards have a vital role in achieving all SDGs.
We all know that ; then this is perhaps a way out of this traumatic vicious circle.

 

Opinion: Technical standards have a key role in achieving the SDGs

By 

Devex, 7 July 2022
Technical standards have a key role in achieving the SDGs
Technical standards can help address some of the most pressing needs of the planet. Photo by: Matthew Horwood / Alamy

Standards are a hidden part of the information and communications technology networks and devices that we all use every day. Though rarely perceived by users, they are vital in enabling the interconnection and interoperability of ICT equipment and devices manufactured by hundreds of thousands of different companies around the world.

For example, 95% of internet traffic is on fiber, built on standards from the International Telecommunication Union, a specialized agency of the United Nations for ICT. ITU has also played a leading role in managing the radio spectrum and developing globally applicable standards for 5G cellular networks.

But while technical standards are clearly indispensable for business and society to work in our industrialized world, it is also becoming clear that technical standards have a key role in addressing the Sustainable Development Goals.

Indeed, the focus of the recent ITU Global Standards Symposium, which brought together more than 700 industry leaders and policymakers, was how standards can help address some of the most pressing needs of the planet, such as eradicating poverty or hunger and mitigating climate change.

To address SDGs 1 and 2 on ending poverty and hunger, an ITU focus group on “Artificial Intelligence (AI) and Internet of Things (IoT) for Digital Agriculture” is working toward new standards to support global improvements in the precision and sustainability of farming techniques.

Under ITU and the World Health Organization, a focus group on “Artificial Intelligence for Health” aims to establish an “open code” benchmarking platform, highlighting the type of metrics that could help developers and health regulators certify future AI solutions in the same way as is done for medical equipment. Also, standards for medical-grade digital health devices — such as connected blood pressure cuffs, glucose monitors, or weight scales — are helping prevent and manage chronic conditions such as diabetes, high blood pressure, and heart disease.

Standards are helping bring broadband to rural communities with lightweight optical cable that can be deployed on the ground’s surface with minimal expense and environmental impact. The installation of ultrahigh-speed optical networks typically comes with a great deal of cost and complexity. Standards can change that equation by providing a solution able to be deployed at low cost with everyday tools.

To address SDG 11 on sustainable cities and communities, more than 150 cities around the world have started evaluating their progress toward smart-city objectives and alignment with the SDGs using so-called key performance indicators based on tech standards. These cities are supported by United for Smart Sustainable Cities, an initiative backed by ITU and 16 other U.N. partners.

 

International standards, recognized around the world, are essential for making technologies … accessible and useful to everyone, everywhere.

 

Addressing SDGs related to climate action and green energy, ITU standards for green ICT include sustainable power-feeding solutions for 5G networks, as well as smart energy solutions for telecom sites and data centers that prioritize the intake of power from renewable energy sources. They also cover the use of AI and big data to optimize data center energy efficiency and innovative techniques to reduce energy needs for data center cooling.

Financial inclusion is another key area of action to achieve SDG 1 on ending poverty. Digital channels are bringing life-changing financial services to millions of people for the very first time. Enormous advances have been made within the Financial Inclusion Global Initiative and the associated development of technical standards in support of secure financial applications and services, as well as reliable digital infrastructure and the resulting consumer trust that our money and digital identities are safe.

However, the complexity of global problems requires numerous organizations with different objectives and profiles to work toward common goals. Leading developers of international ICT standards need to work together to address the SDGs, using frameworks such as the World Standards Cooperation, with the support of mechanisms such as the Standards Programme Coordination Group — reviewing activities, identifying standards gaps and opportunities, and ensuring comprehensive standardization solutions to global challenges.

Including a greater variety of voices in standards discussions is crucial. It is particularly important that low- and middle-income countries are heard and that a multistakeholder approach is made a priority to have a successful and inclusive digital transformation.

Uncoordinated and noninclusive standardization can spell lasting harm for countries that already struggle to afford long-term socioeconomic investments. Without global and regional coordination, today’s digital revolution could produce uneven results, making it imperative that all standards bodies work cohesively.

Sustainable digital transformation requires political will. It was notable that last year in Italy for the first time, leaders from the G-20 group of nations used their final communiqué to acknowledge the importance of international consensus-based standards to digital transformation and sustainable development.

This important step could not have been made by one standards body alone.

Cities, governments, and companies face a significant learning curve while adopting new tech as part of low-carbon, sustainable, citizen-centric development strategies to meet the challenge of addressing the SDGs. International standards, recognized around the world, are essential for making technologies in areas like digital health and 5G — combined with bigger and better data use — accessible and useful to everyone, everywhere.

The views in this opinion piece do not necessarily reflect Devex’s editorial views.
.
About the author
Technical standards have a key role in achieving the SDGs

Chaesub Lee

Chaesub Lee is the director of the Telecommunication Standardization Bureau at the International Telecommunication Union, a specialized agency of the United Nations for ICT. Lee has contributed to ICT standardization for over 30 years, specializing in areas such as integrated services digital networks, global information infrastructure, internet protocol, next-generation networks, internet protocol television, and cloud computing.

.

.

Developing countries are being left behind in the AI race

Developing countries are being left behind in the AI race

Developing countries are being left behind in the AI race in spite of what is constantly vented out by the local media in the MENA region.

Developing countries are being left behind in the AI race – and that’s a problem for all of us

By Joyjit Chatterjee, University of Hull and Nina Dethlefs, University of Hull

Artificial Intelligence (AI) is much more than just a buzzword nowadays. It powers facial recognition in smartphones and computers, translation between foreign languages, systems which filter spam emails and identify toxic content on social media, and can even detect cancerous tumours. These examples, along with countless other existing and emerging applications of AI, help make people’s daily lives easier, especially in the developed world.

As of October 2021, 44 countries were reported to have their own national AI strategic plans, showing their willingness to forge ahead in the global AI race. These include emerging economies like China and India, which are leading the way in building national AI plans within the developing world.

Oxford Insights, a consultancy firm that advises organisations and governments on matters relating to digital transformation, has ranked the preparedness of 160 countries across the world when it comes to using AI in public services. The US ranks first in their 2021 Government AI Readiness Index, followed by Singapore and the UK.

Notably, the lowest-scoring regions in this index include much of the developing world, such as sub-Saharan Africa, the Carribean and Latin America, as well as some central and south Asian countries.

The developed world has an inevitable edge in making rapid progress in the AI revolution. With greater economic capacity, these wealthier countries are naturally best positioned to make large investments in the research and development needed for creating modern AI models.

In contrast, developing countries often have more urgent priorities, such as education, sanitation, healthcare and feeding the population, which override any significant investment in digital transformation. In this climate, AI could widen the digital divide that already exists between developed and developing countries.

The hidden costs of modern AI

AI is traditionally defined as “the science and engineering of making intelligent machines”. To solve problems and perform tasks, AI models generally look at past information and learn rules for making predictions based on unique patterns in the data.

AI is a broad term, comprising two main areas – machine learning and deep learning. While machine learning tends to be suitable when learning from smaller, well-organised datasets, deep learning algorithms are more suited to complex, real-world problems – for example, predicting respiratory diseases using chest X-ray images.

Many modern AI-driven applications, from the Google translate feature to robot-assisted surgical procedures, leverage deep neural networks. These are a special type of deep learning model loosely based on the architecture of the human brain.

Crucially, neural networks are data hungry, often requiring millions of examples to learn how to perform a new task well. This means they require a complex infrastructure of data storage and modern computing hardware, compared to simpler machine learning models. Such large-scale computing infrastructure is generally unaffordable for developing nations.

A robot assistant holds a tablet.
The developed world has an inevitable edge in the AI revolution. MikeDotta/Shutterstock

Beyond the hefty price tag, another issue that disproportionately affects developing countries is the growing toll this kind of AI takes on the environment. For example, a contemporary neural network costs upwards of US$150,000 to train, and will create around 650kg of carbon emissions during training (comparable to a trans-American flight). Training a more advanced model can lead to roughly five times the total carbon emissions generated by an average car during its entire lifetime.

Developed countries have historically been the leading contributors to rising carbon emissions, but the burden of such emissions unfortunately lands most heavily on developing nations. The global south generally suffers disproportionate environmental crises, such as extreme weather, droughts, floods and pollution, in part because of its limited capacity to invest in climate action.

Developing countries also benefit the least from the advances in AI and all the good it can bring – including building resilience against natural disasters.

Using AI for good

While the developed world is making rapid technological progress, the developing world seems to be underrepresented in the AI revolution. And beyond inequitable growth, the developing world is likely bearing the brunt of the environmental consequences that modern AI models, mostly deployed in the developed world, create.

But it’s not all bad news. According to a 2020 study, AI can help achieve 79% of the targets within the sustainable development goals. For example, AI could be used to measure and predict the presence of contamination in water supplies, thereby improving water quality monitoring processes. This in turn could increase access to clean water in developing countries.

The benefits of AI in the global south could be vast – from improving sanitation to helping with education, to providing better medical care. These incremental changes could have significant flow-on effects. For example, improved sanitation and health services in developing countries could help avert outbreaks of disease.

But if we want to achieve the true value of “good AI”, equitable participation in the development and use of the technology is essential. This means the developed world needs to provide greater financial and technological support to the developing world in the AI revolution. This support will need to be more than short term, but it will create significant and lasting benefits for all.

Joyjit Chatterjee, Data Scientist (KTP Associate), University of Hull and Nina Dethlefs, Senior Lecturer in Computer Science, University of Hull

This article is republished from The Conversation under a Creative Commons license. Read the original article.

The Conversation

Look out for these physical security trends in 2022

Look out for these physical security trends in 2022

Hassan El-Banna, Sr. Business Development Manager Middle East, Turkey & Africa (META) at Genetec gives us in AMEInfo, a Look out at these physical security trends in 2022.

Standardization of open and interoperable solutions across smart cities, faster hybrid cloud adoption, and a tighter focus on supply chain risks are some of the top physical security topics to keep an eye on

  • Organizations are employing spatial analytics data to cut wait times
  • Video analytics apps will be easier and more cost-effective to implement at scale
  • Smart city investments would reach $203 billion by 2024

The long-term impacts of the pandemic and other geopolitical events will generate new technical developments and considerations in 2022. Standardization of open and interoperable solutions across smart cities, faster hybrid cloud adoption, and a tighter focus on supply chain risks are some of the top physical security topics to keep an eye on.

Top physical security trends in 2022

Monitoring occupancy and space usage will continue to be a significant focus.

Occupancy tracking is still expanding nearly two years after the pandemic began, as businesses see value in the data collected. Organizations are employing spatial analytics data to cut wait times, manage staff scheduling, and improve company operations, in addition to safety goals.

Corporate organizations are also figuring out how to make their workplaces more efficient by splitting their work time between the office and home. The use of data on space utilization translates to increased operational efficiency, better resource management, and significant cost savings.

Large-scale deployments of video analytics will become more feasible.

Video analytics solutions have been in high demand in recent years. More companies are keen to invest as AI techniques such as machine learning, and deep learning continues to increase the power of analytics. However, complex video analytics still necessitate extremely powerful servers for appropriate data processing, making them impractical for large-scale adoption.

We predict that by 2022, video analytics apps will have matured to the point that they will be easier and more cost-effective to implement at scale.

Cybercrime will continue to evolve, requiring new approaches.

According to an analysis by Cybersecurity Ventures, global crime expenditures are expected to exceed $10.5 trillion annually by 2025. This is the most significant transfer of economic wealth in history, with a growth rate of 15% per year. According to the EMEA Physical Security in 2021 survey results, with the rise of work-from-home and the growing adoption of IoT, 48% of MEA respondents believed in the prioritization of the implementation of better business continuity plans. Against this backdrop, 67% of respondents planned to prioritize the improvement of their cybersecurity strategy in 2021. Cybersecurity concerns will continue to be a priority in 2022, with companies needing new approaches to face the growing cybercrime risks.

Businesses will need to be agile and sensitive to the expanding threat landscape as more devices come online and data processing becomes vital to operations. Customers want companies to keep their data safe and secure. Thus businesses must provide more openness. This will bring in a new cybersecurity model based on continuous verification rather than network and system hardening, alongside an increased focus on choosing partners who offer better degrees of automation.

The smart city movement will be aided by open architecture.

Smart city investments would reach $203 billion by 2024, according to a report titled IDC FutureScape: Worldwide Smart Cities and Communities 2021 Predictions. These smart towns are gathering massive amounts of data and seeking to improve urban safety and liveability. According to the IMD-SUTD Smart City Index 2021, the UAE ranks 29th amongst the world’s smart cities, with 78.5% of the respondents believing in the importance of data-driven physical safety procedures such as facial recognition as a part of necessary processes to improve law enforcement.

The ecology of the smart city also includes intelligent structures. Various businesses are attempting to evaluate data from different sensors and automate procedures. The problem is that this necessitates a shift away from proprietary solutions by cities and corporations. Human and data silos are inherently created by the closed-architecture concept, which stifles growth prospects.

By focusing on open and interoperable solutions, decision-makers will get the most out of their current technology investments by improving data sharing and collaboration. Longer-term, they’ll become more adaptable to changing requirements and more self-sufficient in data unification and ownership.

Adaptable access control technology will continue to be adopted by businesses.

Today’s businesses want more from their access control systems. They desire more flexibility in hardware choices, streamlined processes, and increased convenience for those who pass through their buildings daily.

Many businesses had to get innovative to comply with increased health and safety regulations during the pandemic. Regardless of where they are on the return-to-work spectrum, organizations today recognize that the new normal necessitates agility. This is why they’re investing in PIAM systems (physical identity access management).

Businesses may automate employee and guest access requests and remotely alter access rights for all employees using a self-service PIAM system, ensuring greater safety and compliance. Additionally, by combining access control and PIAM systems, onsite movement may be tracked, making it easier for businesses to spot possible COVID-19 transmission. We expect this trend toward more modern and adaptive access control systems to continue as the new year progresses.

Supply chain operations will receive more attention and emphasis.

Organizations are under pressure to evaluate their entire supply chain ecosystem as cyber threats get more sophisticated and global disruptions influence supply management everywhere. During the SolarWinds Attack, a flaw in its own IT resource management system exposed over 18,000 customers to malware, including Fortune 500 firms and US government agencies.

More enterprises and government agencies will widen the scope of their cybersecurity policies to create baseline security criteria for the products they acquire and the vendors they engage with, in a world where organizations no longer have clearly defined network perimeters.

Any supply chain issues in obtaining physical security equipment will encourage firms to become less reliant on proprietary solutions from a single provider. Should product availability, best practices, or lack of transparency for a specific vendor be questioned, decision-makers will be able to browse different vendor options and easily change out system components.

More businesses will migrate to the cloud and use a hybrid deployment model.

 The adoption of cloud computing is increasing. While many businesses aren’t ready to make the entire leap to the cloud, many are looking to the hybrid cloud deployment approach as a way to try out new apps.

As more physical security teams begin to experiment with cloud apps, the advantages of hybrid cloud will become clear. This will propel the use of cloud technology even further forward this year.

2022 Technology predictions from Veeam

2022 Technology predictions from Veeam

This AMEinfo’s article covered the views of 2 major personnel on their 2022 Technology predictions from Veeam Software, a privately held US-based information technology company.

Danny Allan, Chief Technology Officer and Senior Vice President of Product Strategy at Veeam, and Claude Schuck, Regional Director, Middle East at Veeam, offer their outlook for the technology sector in 2022

  • AI and automation will replace entry-level jobs in the finance, healthcare, legal and software industries
  • Privacy-focused legislation will shift attention to data sovereignty clouds
  • Digital transformation powers ahead thanks to containers

Danny Allan, Chief Technology Officer and Senior Vice President of Product Strategy at Veeam, and Claude Schuck, Regional Director, Middle East at Veeam, offer their outlook for the technology sector in 2022.

We start with Danny Allan with his 6 technology product predictions:

1- Acquisitions will stagnate as company valuations outstrip available assets

In 2021, global M&A activity reached new highs aided by low-interest rates and high stock prices. In 2022, we will see that momentum shift. Larger acquisitions will be few and far between as company valuations continue to rise. Only well-established, cash-rich companies will have the money required to make new purchases. The higher purchase threshold will make it harder for medium- and small-sized companies to grow and evolve, giving the advantage to larger, established firms.

2- AI and automation will replace entry-level jobs in the finance, healthcare, legal and software industries

The talent shortage will leave many jobs unfilled, making way for the advancement of artificial intelligence and automation to fill new roles. We have seen technology begin its takeover in the service industry with the introduction of robotic waiters during the pandemic. In 2022, we will see AI and automation capable of filling positions in other hard-hit sectors like the finance, healthcare, legal and software industries. These developments will mostly affect entry-level positions, like interns, making it harder for recent graduates entering the workforce to gain job experience in the future.

3- CI/CD will stabilize and standardize to become an IT team requirement

The Bill Gates memo in 2001 became the industry standard in how to design, develop and deliver complex software systems – and today it feels like there has been no standard since then. IT teams and developers fell into habits of adopting “known” technology systems, and not standardizing in new spaces, like continuous integration and continuous delivery (CI/CD). In 2022, we’re going to see a shift towards more stability and standardization for CI/CD. IT leaders have an opportunity to capitalize on this high-growth and high-valuation market to increase deployment activity and solve the “day two operations problem.”

4- Tech’s labor market will be met with big money and big challenges  

The COVID-19 economy – and the subsequent great resignation – throughout the last two years certainly made its mark in the tech industry. As we continue to see turnover and lower employee retention, tech salaries will begin to grow in 2022 to incentivize talent to stay. I see this causing an interesting dynamic, presenting bigger challenges, especially to the folks in the startup and VC world. The bigger tech giants are the ones who can meet the high dollar demand and deliver benefits for a competitive workforce. It will be interesting to see in the years ahead what this does for innovation, which tends to come from the hungry startups where people work for very little for a long time. We could very well see a resurgence of tech talent returning to the “old guard” companies to meet their needs for stable (and large) salaries, forgoing the competitive, hard-knocks of startups that could cause a skill and talent gap that lasts for years to come.

5- New privacy-focused legislation will shift attention to data sovereignty clouds

With increased focus on General Data Protection Regulation (GDPR) regulating data protection and privacy in the EU and the California Consumer Privacy Act (CCPA) enhancing privacy rights and consumer protection for Californians, other states and countries are facing pressure to enact comprehensive data privacy legislation. As this continues in 2022, I expect we’ll see much more focus on data sovereignty clouds to keep data within nations or within a certain physical location. This is a far more specified cloud model that we’re starting to see in EMEA with Gaia-X. Some will see this as an obstacle, but once implemented, this will be a good thing as it puts consumer privacy at the core of the business strategy.

6- Containers will become mainstream to support the cloud explosion of 2021

Businesses wrongly predicted that employees would return to the office, as normal, in 2021. Instead, remote working continued, and companies were forced to develop long-term remote working strategies to ensure efficiency, sustainability and to retain employees seeking flexibility. This remote work strategy demanded cloud-based solutions, resulting in an explosion of cloud service adoption. To meet this moment, containers will become mainstream in 2022, making the generational shift to cloud much easier and more streamlined for organizations.

Next, we go with Claude Schuck with his 4 security predictions

 Every enterprise in the Middle East looking to build a strategy around Modern Data Protection should keep the three important pillars in mind – Cloud, Security, and Containers. Businesses need to have a good understanding of what the cloud brings to an organization and why it is important. Secondly, before the pandemic, we had a centralized office where employees were all in one place. With decentralization now, the boundaries of the organization have become invisible. Data is all over the place, necessitating a need for a comprehensive security strategy to safeguard all entry points. And finally, we see an increased interest in Kubernetes as a critical piece of an enterprise’s cloud infrastructure. This has created a new area around container-native data protection that needs addressing.

1- Accelerated adoption of Cloud technologies

Although the cloud is not yet mainstream in the region, adoption is expected to witness significant growth in the Middle East as enterprises begin to “trust” in-country offerings with the big public cloud players like Microsoft Azure and Amazon Web Services having opened data centers in the Middle East. Gartner forecasts end-user spending on public cloud services in the MENA region to grow 19% in 2022. Another big trend we see is that many governments across the Middle East are creating their own ‘Government Cloud’ in order to have control over their data and not letting it reside in the public realm. With this acceleration, Veeam is investing in more headcount in the region to be able to assist organizations as they transition to the cloud.

2- Security: cybercrime

In the Middle East, security will always be a top priority. Not only can cyberattacks affect day-to-day business, impact revenue, and create other problems, but above all, it affects the brand reputation and workforce. Enterprises will continue to invest and safeguard themselves against the ever-growing increase in cyberattacks, especially ransomware. Although organizations in the Middle East, in general, spend a lot on security technologies, there is a huge gap when it comes to planning and executing a security strategy. This mainly boils down to the complexity of the IT environment. There are still a lot of legacy systems. Protecting these complicated environments is a big challenge and becomes even more so in the transition phase of moving to the cloud. Regional CISOs need to have a stringent security program in place which includes important elements like stress testing of IT Systems, backups, a disaster recovery strategy, and educating employees to become the first line of defense for improving organizational resilience.

3- Security: data privacy and protection

In early September 2021, the UAE announced the introduction of a new federal data protection law. With this, data privacy and security are set to take center stage as consumers demand transparency and their “right” to be forgotten. By having the option of opting out, consumers can ensure that their data is being handled in a correct way and they are not targeted by organizations. But more importantly, international corporations that are based in the UAE and the Middle East can be assured that policies are being applied when it comes to data in-country – whether it be in terms of the way data is stored, IP is managed, or how customer and consumer data is protected.

4- Digital transformation powers ahead thanks to containers

The rapid adoption of Containers in enterprises, the need for on-demand resources, and the flexibility of workloads will drive digital transformation. The Lack of skilled resources and understanding around the technology is a big challenge for enterprises in the Middle East. Veeam, through its acquisition of Kasten, is simplifying container strategy and delivering the industry’s leading Cloud Data Management platform that supports data protection for container-based applications built-in Kubernetes environments.

.

%d bloggers like this: