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The Middle East is rapidly evolving into a global hub for technological innovation, with 2025 set to be a pivotal year in the regions digital landscape. Looking ahead to 2025, Lalchandani identifies several technological trends that will define the Middle Easts digital landscape.
In recent years, the United Arab Emirates has emerged as a global hub for technology and innovation. This necessitates a proactive mindset, continuous monitoring of threat landscapes, and a willingness to invest in cutting-edge security technologies. How do we CISOs adapt our strategies today?
Looking ahead to 2025, what do you see as the key technology trends that will shape the Middle Easts digital landscape? By 2025, several key technology trends will shape the Middle Easts digital landscape. Investments in healthcare technologies will grow, driven by national health strategies and pandemic-driven innovation.
Cities are embracing smart city initiatives to address these challenges, leveraging the Internet of Things (IoT) as the cornerstone for data-driven decision making and optimized urban operations. According to IDC, the IoT market in the Middle East and Africa is set to surpass $30.2 Popular examples include NB-IoT and LoRaWAN.
Real-time analytics. The goal of many modern data architectures is to deliver real-time analytics the ability to perform analytics on new data as it arrives in the environment. Modern data architectures must be designed to take advantage of technologies such as AI, automation, and internet of things (IoT).
Technology has proven important in maintaining the healthcare industry’s resilience in the face of so many obstacles. The healthcare business has embraced numerous technology-based solutions to increase productivity and streamline clinical procedures. Digital Transformation in Healthcare: Emerging Patterns.
German healthcare company Fresenius Medical Care, which specializes in providing kidney dialysis services, is using a combination of near real-time IoT data and clinical data to predict one of the most common complications of the procedure. CIO 100, Digital Transformation, Healthcare Industry, Predictive Analytics
Dan LeBlanc, the CEO and co-founder of data and analytics Daasity, has written a detailed strategy guide aimed at helping marketers boost ROI and create a cohort analysis that tracks lifetime value against customer acquisition cost. But how can brands convert shoppers who respond to a holiday promotion into repeat customers all year long?
IT or Information technology is the industry that has registered continuous growth. The Indian information Technology has attained about $194B in 2021 and has a 7% share in GDP growth. Because startups like Zerodha, Ola, and Rupay to large organizations like Infosys, HCL Technologies Ltd, all will grow at a mass scale.
Organizations look at digital transformation as an opportunity to radically improve operations and increase the value of a product or service to the customer by embedding technology into the decision-making fabric and building automation into its functions. This article was made possible by our partnership with the IASA Chief Architect Forum.
As the UAE strengthens its position as a global technology hub, 2025 will be a year filled with cutting-edge events that cater to tech leaders across various industries. Topics will include cloud computing, the Internet of Things (IoT), big data analytics, and other technologies that are driving digital change in businesses and governments.
For CISOs to succeed in this unprecedented security landscape, they must balance these threats with new approaches by performing continuous risk assessments, protecting digital assets, and managing the rapid pace of innovation in security technologies. How do we CISOs adapt our strategies today?
The high-end organic produce and fresh meats distributor envisions IT — analytics and AI, specifically — as the key to more efficient distribution logistics and five-star customer experience. The use of technology is not the differentiating factor. Baldor Specialty Foods is turning to IT to take its business to the next level.
The emergence of new age technologies like AI, Gen AI, SD- WAN is pushing the technology companies to evolve rapidly, creating technology that not only keeps pace with development but also enhances it. In 2018, Ruckus IoT Suite, a new approach to building access networks to support IoT deployments was launched.
The Middle East and North Africa (MENA) region have witnessed a remarkable surge in Information Technology (IT) spending in recent years with, for example, governments and businesses embracing technology’s transformative power to drive growth and innovation. billion USD in 2024, an increase of 5.2%
This article focuses on how these advancements are paving the way for data integration for the years to come in this ever-so-dynamic technological era. AI-powered data integration One of the most promising advancements in data integration is the integration of artificial intelligence (AI) and machine learning (ML) technologies.
We were focused all the way back then on what we now call the Internet of Things (IoT). There is still a surprising disconnect between AI technology like natural language processing and structured data. But AI is not as helpful in the business data processing domain as we might expect — at least not yet.
Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. But improved use of automation — combined with software-based advanced analytics — can help level the playing field. Prevention is key, especially in today’s complex environment.
s wholesale pivot to technology has transformed not only the automaker’s business operations but its corporate identity. “We Mike Amend, Ford’s chief enterprise technology officer, was once CTO for Dell’s global online business. Ford Motor Co.’s People don’t think of a large, 100-year-old manufacturing company as high tech.”
Under the aegis of digital transformation, IT initiatives have become more customer-centric, with a greater emphasis on people, not technology — all in an effort to redefine how the organization operates and to ensure it can keep up with the pace of change, capable of dealing with challenges and taking advantage of opportunities as they arise.
No longer a nebulous, aspirational term equated with the concept “never trust, already verify,” zero trust has evolved into a solid technology framework that enables proactive defense and digital transformation as organizations embrace the cloud and hybrid work models. But what exactly does that mean? Zero trust has come a long way.
Data-driven insights are only as good as your data Imagine that each source of data in your organization—from spreadsheets to internet of things (IoT) sensor feeds—is a delegate set to attend a conference that will decide the future of your organization.
As operational technology (OT) environments undergo rapid digital transformation, so do their security risks. Operational technology environments are becoming increasingly complex and interconnected, making them more susceptible to cyberthreats.
The dashboard now in production uses Databricks’ Azure data lake to ingest, clean, store, and analyze the data, and Microsoft’s Power BI to generate graphical analytics that present critical operational data in a single view, such as the number of flights coming into domestic and international terminals and average security wait times.
At the recent 2024 Tencent Global Digital Ecosystem Summit, Tencent Cloud, the cloud business of the global leading technology company Tencent, announced a strategic partnership with the S.M.A.R.T This technology is widely applied in scenarios such as online classes with educators, news anchoring, customer service, and voice assistance. “We
However, now the technical team and business need to align to drive process innovation and automation into the business, using technology to drive down cost and improve delivery times for customers. In the earlier phases, digital transformation centered on exploring and investing in novel technologies,” Musgrove says.
Implementing AI algorithms directly on local edge devices, such as sensors or Internet of Things (IoT) devices, enables local processing and analysis for real-time decision-making, and models can continue to function even when connectivity is lost. The ability to simplify management as operations scale is essential.
Emerging technologies are transforming organizations of all sizes, but with the seemingly endless possibilities they bring, they also come with new challenges surrounding data management that IT departments must solve. This limits both time and cost while increasing productivity, allowing employees to make stronger analytical decisions.
Until recently, software-defined networking (SDN) technologies have been limited to use in data centers — not manufacturing floors. Our concept was to use data center technologies and bring them to the manufacturing floor,” says Rob Colby, project lead. blueprint, unveiled in 2021, the Santa Clara, Calif.-based
Unfortunately, the road to data strategy success is fraught with challenges, so CIOs and other technology leaders need to plan and execute carefully. Building a successful data strategy at scale goes beyond collecting and analyzing data,” says Ryan Swann, chief data analytics officer at financial services firm Vanguard.
Al detalle La Guía de Gasto en Edge segmenta el gasto para más de 500 casos de uso empresarial relacionados con seis dominios – inteligencia artificial (IA), Internet de las Cosas (IoT), realidad aumentada (RA), realidad virtual (RV), drones y robótica- desbloqueando oportunidades significativas en varias industrias.
Most CEOs (72%) continue to prioritize digital investments, according to the 2022 CEO Outlook report from KPMG, in part due to concerns about emerging and disruptive technology, a top three risk to organizational growth. Digital transformation is the integration of digital technologies into all aspects of business operations.
The integration of edge AI into enterprise ecosystems is not merely a routine technology upgrade, it’s a strategic imperative. Healthcare monitoring: Edge AI facilitates remote patient monitoring, predictive analytics and faster diagnostics, revolutionizing healthcare delivery and patient care.
As part of these efforts, he and his team focus on putting data and the right digital technologies to work to improve things like traffic management. Enabled by a private 5G network , the solution includes LiDAR sensors and advanced analytics tools.
RMIT University is a center point of technology and design based in Melbourne, Australia. On aligning with the mission: Technology underpins and enables the university strategy, based on knowledge with action. So we look at our students as lifelong learners fully connected in our ecosystem.” It’s a significant footprint and scale.
As part of its transformation, UK Power Networks partnered with Databricks, Tata Consulting Services, Moringa Partners, and others to not only manage the cloud migration but also help integrate IoT devices and smart meters to deliver highly granular, real-time analytics.
AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. Retail stores and smart homes can use AI at the edge technology to personalize user experiences. billion in 2027 with a compound annual growth rate (CAGR) of 86.1% But this is just the beginning.
For example, manufacturers should capture how predictive maintenance tied to IoT and machine learning saves money and reduces outages. Risk reduction metrics can focus on security, business continuity, and compliance functions impacted by technology, data, and process improvements.
In addition to protecting the organization from cyber threats, this senior executive now plays a strategic role in ensuring that data assets and technologies are well-protected while supporting business innovation and growth. Evolving Role and Responsibilities of CISOs The role of the Chief Information Security Officer is expanding.
Some hyperscalers offer tools and advice on making AI more sustainable, such as Amazon Web Services, which provides tips on using serverless technologies to eliminate idle resources, data management tools, and datasets. For example, using ML to route IoT messages may be unwarranted; you can express the logic with a rules engine.”
Everyone is running around trying to apply this technology that’s moving so fast, but without business outcomes, there’s no point to it,” says Redmond, CIO at power management systems manufacturer Eaton Corp. “We The question is whether people will be willing to trust the technology enough to give up doing the work themselves.
The edge is the new battlefield in the field of digital infrastructures, and its technological capabilities will be greatly accelerated and expanded by AI,” says Luis Fernandes, research director of the European infrastructure strategy area at IDC. From there, insights can be extracted.
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