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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.
How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. A lot has changed in those five years, and so has the data landscape. Now things are the Internet.”. trillion by 2030.
For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. Together, these capabilities enable terminal operators to enhance efficiency and competitiveness in an industry that is increasingly datadriven.
In at least one way, it was not different, and that was in the continued development of innovations that are inspired by data. This steady march of data-driven innovation has been a consistent characteristic of each year for at least the past decade.
Digitaltransformation is a hot topic for all markets and industries as it’s delivering value with explosive growth rates. This is the first in a six-part blog series that outlines the data journey from edge to AI and the business value data produces along the journey. Fig 1: The Enterprise Data Lifecycle.
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.
Il digitale è riconosciuto come forte leva di business”, conferma Alessandra Luksch, Direttore dell’Osservatorio DigitalTransformation Academy e dell’Osservatorio Startup Thinking del Politecnico di Milano, che dal 2016 mappa i trend della spesa ICT delle organizzazioni in Italia.
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%
The partners say they will create the future of digital manufacturing by leveraging the industrial internet of things (IIoT), digital twin , data, and AI to bring products to consumers faster and increase customer satisfaction, all while improving productivity and reducing costs.
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.
It’s certainly no secret that data has been growing in volume, variety and velocity, and most companies are overwhelmed by managing it, let alone harnessing it to put it to work. quintillion bytes of data every day, and 90% of the world’s data volume has been created in the past two years alone. Where is the data?
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.
Behind the scenes, data augmented with artificial intelligence deliver insights to help enhance energy efficiency and promote sustainable urban development. For these cities, fortifying Internet of Things (IoT) sensor and device vulnerabilities to combat cyberthreats is a key concern.
The use of digital and machine learning processes has helped foster a revival among the titans of energy through connecting and modernizing older systems, incorporating innovative technologies, and leveraging data in new ways. With digitaltransformation, organizations can streamline these workflows and automate the processes.
At the same time, the sheer volume and velocity of data demand high-performance computing (HPC) to provide the power needed to effectively train AIs, do AI inferencing, and run analytics. We’re seeing HPC-enabled AI on the rise because it extracts and refines data quicker and more accurately. billion market in 2024.
Experts agree that edge computing will play a key role in the digitaltransformation of almost every business. The first wave of edge computing: Internet of Things (IoT). For most industries, the idea of the edge has been tightly associated with the first wave of the Internet of Things (IoT).
And the key to success is having data that can be analyzed for actionable insights. But until recently , gathering accurate and timely data from multiple sources had been challenging for the local island governments because of a lack of equipment, process and format standardization, technology, and human resources.
Fueled by cloud Ford’s cloud journey, which began roughly a decade ago, continues to this day, Musser says, as the automaker seeks to take advantage of advances in the key technologies fueling its transformation, including the internet of things (IoT), software as a service, and the latest offerings on Google Cloud Platform (GCP).
In fact, the days of task-driven technology have vanished, replaced by technology as a vehicle for business growth. While enterprise transformation is driven by customer and business needs, technology can be the catalyst for large transformational change. Protiviti Managing Director, DigitalTransformation.
Thanks to cloud, Internet of Things (IoT), and 5G technologies, every link in the retail supply chain is becoming more tightly integrated. Cloud Computing, DigitalTransformation, Retail Industry
Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years. Customers have too many options.
But outsourcing operational risk is untenable, given the criticality of data-first modernization to overall enterprise success. Therefore, it’s up to CIOs to do due diligence about what sort of security controls are in place and to ensure data is well protected in an [as-a-service] operating model. HPE GreenLake: Security by Design.
In especially high demand are IT pros with software development, data science and machine learning skills. Government agencies and nonprofits also seek IT talent for environmental data analysis and policy development.
While CIOs and CTOs play critical roles in a company’s digitaltransformation efforts , only about half of them are part of their organization’s sustainability goal leadership team , and even fewer are assessed on a company’s achievement of its sustainability goals. Data: Use data to share information around sustainability efforts.
During the last decade, I have led digitaltransformation initiatives which added two lac hours of productivity for various organizations. What are some of the unique data and cybersecurity challenges that Havmor faces as a vast customer-centric business? Data and cybersecurity issues challenge every IT leader.
Welcome back to our exciting exploration of architectural patterns for real-time analytics with Amazon Kinesis Data Streams! Before we dive in, we recommend reviewing Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1 for the basic functionalities of Kinesis Data Streams.
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.
Evolving technologies and an increasingly globalized and digitalized marketplace have driven manufacturers to adopt smart manufacturing technologies to maintain competitiveness and profitability. These features use data from multiple machines simultaneously, automate processes and provide manufacturers more sophisticated analyses.
Unexpected, unprecedented and disruptive, 2020 required radical transformation – within global organizations and our day-to-day lives. Our predictions for 2021 are rooted in what we’ve learned from the past year and the relevance of data in getting us to where we are and where we need to go.
That’s when P&G decided to put data to work to improve its diaper-making business. Data-driven diaper analysis During the diaper-making process, hot glue stream is released from an automated solenoid valve in a highly precise manner to ensure the layers of the diaper congeal properly.
But outsourcing operational risk is untenable, given the criticality of data-first modernization to overall enterprise success. Therefore, it’s up to CIOs to do due diligence about what sort of security controls are in place and to ensure data is well protected in an [as-a-service] operating model. Leech cautions that the No.
What Is Data Intelligence? Data Intelligence is the analysis of multifaceted data to be used by companies to improve products and services offered and better support investments and business strategies in place. Data intelligence can encompass both internal and external business data and information. Healthcare.
With the ability of manufacturers to store a huge volume of historical data, AI can be applied in general business areas of any industry, like developing recommendations for marketing, supply chain optimization, and new product development. Advanced technologies are only part of the digitaltransformation story.
In today’s data-driven world, organizations are continually confronted with the task of managing extensive volumes of data securely and efficiently. A common use case that we see amongst customers is to search and visualize data. A common use case that we see amongst customers is to search and visualize data.
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. Invest in data, invest in your company. Making new connections with data.
There is a coherent overlap between the Internet of Things and Artificial Intelligence. 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.
Manufacturing has undergone a major digitaltransformation in the last few years, with technological advancements, evolving consumer demands and the COVID-19 pandemic serving as major catalysts for change. Here, we’ll discuss the major manufacturing trends that will change the industry in the coming year. Industry 4.0
If you’ve felt like new reports of data hacks and security breaches are becoming more common, it’s not your imagination. The rise of the Internet of Things (IoT) as one of the fastest-growing device categories today means that securing your IoT data is more important—and difficult—than ever. What is zero trust?
For example, while your organisation may already have tapped the power of the Internet of Things and edge computing (perhaps even enhanced by the speed and stability of private 5G in the quest for digitaltransformation, this does not automatically make you future-proof.
If you’ve felt like new reports of data hacks and security breaches are becoming more common, it’s not your imagination. In fact, many organizations have begun adopting zero-trust IoT security strategies to protect their IoT data from potential breaches. Protection is now needed where those applications, data, users and devices live.
If you are experiencing inefficiencies, bottlenecks, quality control challenges or compliance issues in your production processes, an MES can provide real-time data and performance analysis across production lines to identify and address these issues promptly. Adequate training for your team members is crucial for successful adoption.
A handful of businesses are already doing so as they transition from just adopting digitaltransformation to embodying what it means to be a digital business. Whereas digitaltransformation in its earliest iteration—digitaltransformation 1.0—focuses
Big data, artificial intelligence (AI), distributed cloud computing, mobile devices, and the Internet of Things inundate companies with more information than ever before in history. percent of the executives who responded are actively investing in big data and AI to fuel insights. Broader Use of AI.
Big data, artificial intelligence (AI), distributed cloud computing, mobile devices, and the Internet of Things inundate companies with more information than ever before in history. percent of the executives who responded are actively investing in big data and AI to fuel insights. Broader Use of AI.
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