This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
In a recent interview with Jyoti Lalchandani, IDCs Group Vice President and Regional Managing Director for the Middle East, Turkey, and Africa (META), we explore the key trends and technologies that will shape the future of the Middle East and the challenges organizations will face in their digitaltransformation journey.
The next generation of successful organisations will be the ones that embrace the potential of digitaltransformation, or so it has been said with increasing frequency in the last decade. Digitaltransformation, then, is a term that reflects the new operational reality for every organisation.
In fact, as we discussed in our call, Gartner’s 2018 CEO Survey discovered that 62% of global CEOs are launching a digitaltransformation initiative. To keep pace with the increasing risk associated with digitaltransformation, organizations require an integrated approach to risk management.
One of the primary drivers for the phenomenal growth in dynamic real-time data analytics today and in the coming decade is the Internet of Things (IoT) and its sibling the Industrial IoT (IIoT). One group has declared , “IoT companies will dominate the 2020s: Prepare your resume!” trillion by 2030. trillion by 2030.”.
Their terminal operations rely heavily on seamless data flows and the management of vast volumes of data. Recently, EUROGATE has developed a digital twin for its container terminal Hamburg (CTH), generating millions of data points every second from Internet of Things (IoT)devices attached to its container handling equipment (CHE).
The race to embrace digitaltransformation is on and a lot of organizations are doing everything possible to ensure they digitize every piece of information; this is, however, putting at greater risks of cyber-attacks and data breaches. Trillion by 2024 , it’s obvious that data security challenges will hit new heights.
Digitaltransformation is a hot topic for all markets and industries as it’s delivering value with explosive growth rates. Although the controllers and devices may be connected to an OT system, they are not usually connected in a way that they can easily share the data with IT systems as well.
While digitaltransformation has been a trend for some years, emerging technologies have made this movement even more important. Companies are rethinking their business models to become more digital and competitive. Digitaltransformation is an important component of a modern organization’s business operations.
A digitaltransformation is an overhauled, digital-first approach to how a business is run. The digital world is evolving quickly with new products and digital technologies that require vigorous digitaltransformation initiatives. Why digitaltransformation?
The Edge-to-Cloud architectures are responding to the growth of IoT sensors and devices everywhere, whose deployments are boosted by 5G capabilities that are now helping to significantly reduce data-to-action latency. From my perspective, that was the single most significant data innovation trend of the year 2020.
The Future Of The Telco Industry And Impact Of 5G & IoT – Part 3. To continue where we left off, how are ML and IoT influencing the Telecom sector, and how is Cloudera supporting this industry evolution? When it comes to IoT, there are a number of exciting use cases that Cloudera is helping to make possible.
Understanding the data governance trends for the year ahead will give business leaders and data professionals a competitive edge … Happy New Year! Regulatory compliance and data breaches have driven the data governance narrative during the past few years. Constructing a DigitalTransformation Strategy.
It is a new-generation, multi-modal human-computer interaction system that can quickly create intelligent, visual, and interactive digital avatars. It facilitates enterprises’ intelligent service upgrades while supporting digitaltransformation and improving communication efficiency. About S.M.A.R.T Read more here.
Digitaltransformation remains top of mind worldwide. According to Foundry’s State of the CIO 2024 study, technology leaders will be focused on driving digital innovation, redesigning processes, and modernising infrastructure and apps in the next three years in order to stay ahead.
The right use of data changes everything. Disrupting Markets is your window into how companies have digitallytransformed their businesses, shaken up their industries, and even changed the world through the use of data and analytics. Making new connections with data. Starbucks isn’t only using data in its stores.
Companies that rely on bigdata need a reliable IT department. You have to make sure that your IT infrastructure is adequately equipped to handle the volume of data your company will be processing and that it will be properly secured. Companies that Rely on BigData Must Have a Functional IT Department.
Organizations are increasingly investing in digitaltransformation as a way to maintain or grow a competitive advantage. A tried-and-true way to approach digitaltransformation is to understand the relationship customers have with the product and the brand, where that relationship currently falls short, and how it can be improved.
The digitaltransformation journeys of enterprises have been fraught with different challenges since the early 2000s. However, the emergence of AI and its synergies with evolving technologies such as cloud computing, IoT, and bigdata analytics, have brought enterprises to a tipping point in their journeys.
Among the various changes that are taking place in the market, digitaltransformation is the biggest and fastest one. Enterprises in various industries are in a hurry to digitallytransform their business and gain an advantage over the competitors. Business Domain Transformation. Cultural Transformation.
With the aim to accelerate innovation and transform its digital infrastructures and services, Ferrovial created its Digital Hub to serve as a meeting point where research and experimentation with digital strategies could, for example, provide new sources of income and improve company operations.
Its core digital footprint is solid, having been on the cloud for some time, and employing Microsoft Dynamics ERP, HighJump supply chain management, and Orca Security services. Equipping the fleet with advanced IoT sensors and tracking devices will improve customer engagement time and reduce food waste, Parameswaran says.
The digitaltransformation of the Middle East’s retail sector in the last five to seven years has brought immense value in crafting more agile supply chains that accommodate demand. It would be naïve to underestimate the pandemic’s influence on many companies’ digitaltransformation,” says Sunil Nair, Group CIO at GMG.
IoT is basically an exchange of data or information in a connected or interconnected environment. As IoT devices generate large volumes of data, AI is functionally necessary to make sense of this data. Data is only useful when it is actionable for which it needs to be supplemented with context and creativity.
When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. There’s always more data to handle, much of it unstructured; more data sources, like IoT, more points of integration, and more regulatory compliance requirements.
German healthcare company Fresenius Medical Care, which specializes in providing kidney dialysis services, is using a combination of near real-time IoTdata and clinical data to predict one of the most common complications of the procedure. CIO 100, DigitalTransformation, Healthcare Industry, Predictive Analytics
Cloudera’s customers and partners are among the corporations that are successfully implementing digitaltransformation initiatives with sustainability in mind. This IoT platform is being implemented for a variety of use cases including the following: Determining crop production, fertilizer usage, and yield rates on large farms.
Now get ready as we embark on the second part of this series, where we focus on the AI applications with Kinesis Data Streams in three scenarios: real-time generative business intelligence (BI), real-time recommendation systems, and Internet of Things (IoT) data streaming and inferencing.
One of the most substantial bigdata workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco BigData: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.
As a result, Huawei knows first-hand the challenges a manufacturer faces along the different stages of its digital journey. When it faces a challenge in its own digitaltransformation, it takes lessons from itself on how to increase operational efficiency while ensuring quality.
Otis One’s cloud-native platform is built on Microsoft Azure and taps into a Snowflake data lake. IoT sensors send elevator data to the cloud platform, where analytics are applied to support business operations, including reporting, data visualization, and predictive modeling. based company’s elevators smarter.
So, what was it about Telkomsel’s head-on approach to digitaltransformation that caught the judges’ attention? Telkomsel – 2020’s Industry Transformation award winner . A telco undergoing digitaltransformation. And how has the story progressed a year on? Let’s explore….
Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain. DigitalTransformation is not without Risk.
Organizaciones expertas en el negocio turístico, la personalización de la experiencia del viajero, la transformación del espacio turístico, la digitalización, las plataformas inteligentes que integran datos, el desarrollo de software sectorial, el bigdata y las soluciones IoT y de sensorización conforman este nuevo hub.
One of the most promising technology areas in this merger that already had a high growth potential and is poised for even more growth is the Data-in-Motion platform called Hortonworks DataFlow (HDF). CDF, as an end-to-end streaming data platform, emerges as a clear solution for managing data from the edge all the way to the enterprise.
Digital infrastructure, of course, includes communications network infrastructure — including 5G, Fifth-Generation Fixed Network (F5G), Internet Protocol version 6+ (IPv6+), the Internet of Things (IoT), and the Industrial Internet — alongside computing infrastructure, such as Artificial Intelligence (AI), storage, computing, and data centers.
In today’s digitaltransformation environment, companies need their solutions to evolve with them and enable real-time insight throughout an organization. iVEDiX helps harness, understand and use that data with its configurable IOT engine, powerful configuration tools and an imaginatively interactive visualization platform.
The industrial landscape is undergoing a digitaltransformation at a breakneck speed. Prominent entities across a myriad of sectors are preparing for the digital revolution by integrating a host of technologies such as IoT, AI, BigData, digital twins, and robotics, in their processes, products, and workflows.
According to an International Data Corporation (IDC) report (link resides outside ibm.com), worldwide spending on public cloud provider services will reach $1.35 Here, we explore 10 top business use cases that reveal how a public cloud helps form the foundation for modern business and fuels ongoing digitaltransformation.
Data Lifecycle Management: The Key to AI-Driven Innovation. In digitaltransformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven.
BigData” became a topic of conversations and the term “Cloud” was coined. . As businesses began to embrace digitaltransformation, more and more data was collected and stored. In 1991, the World Wide Web (WWW) launched, and distributed computing in the form of the client-server model started to take shape.
In 2020, during the COVID-19 pandemic, businesses accelerated their cloud adoption to provide remote access to data, storage and operations so they could maintain business continuity during lockdown. Each service facilitates data flow over the internet between front-end clients and back-end cloud systems provided by a cloud service provider.
In Part Two they will look at how businesses in both sectors can move to stabilize their respective supply chains and use real-time streaming data, analytics, and machine learning to increase operational efficiency and better manage disruption. The 6 key takeaways from this blog are below: 6 key takeaways. Brent Biddulph: .
La adopción de tecnologías como la realidad aumentada, la inteligencia artificial (IA), el bigdata o la constante disrupción a través de plataformas de comercio electrónico ha propiciado que la moda se convierta en una de las industrias más dinámicas y pioneras a los cambios tecnológicos”.
But digitaltransformation programs are accelerating, services innovation around 5G is continuing apace, and results to the stock market have been robust. . The Cloudera Data Platform (CDP) enables modern data architectures with data anywhere at the telco scale. The challenges.
We organize all of the trending information in your field so you don't have to. Join 42,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content