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How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the dataanalytics 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. trillion by 2030. trillion by 2030.”.
What you need to know about IoT in enterprise and education . In an era of data driven insights and automation, few technologies have the power to supercharge and empower decision makers like that of the Internet of Things (IoT). . As the adoption of IoT devices is expected to reach 24.1 billion by 2029.
The energy sector, driven by sustainability goals such as Saudi Arabias Vision 2030 and the UAEs Net Zero 2050, will see a surge in investments in smart grids, renewable energy, and AI-powered energy efficiency solutions. The Internet of Things will also play a transformative role in shaping the regions smart city and infrastructure projects.
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.
Big data has become more important than ever in the realm of cybersecurity. You are going to have to know more about AI, dataanalytics and other big data tools if you want to be a cybersecurity professional. Big Data Skills Must Be Utilized in a Cybersecurity Role. Brilliant Growth and Wages.
Big data technology is shaping the future of healthcare. Global healthcare companies are projected to spend over $105 billion on big data by 2030. One of the biggest benefits of big data in healthcare has been in the field of virtual healthcare. Big data technology is helping make this new field even more promising.
In last year’s Digitization of African Agriculture report, which the ACP compiles, it details how 33 million small-scale farmers and pastoralists registered with Digital for Agriculture (D4Ag) solutions across the continent in 2019, adding that it’s expected to rise to 200 million by 2030.
We collect lots of sensor data on machine performance, vibration data, temperature data, chemical data, and we like to have performative combinations of those datasets,” Dickson says. Dickson says that DS Smith also plans to use virtual private clouds for some corporate data, giving it flexibility and control.
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.
billion by 2030. Integrating conversational AI into the Internet of Things (IoT) also offers vast possibilities, enabling more intelligent and interactive environments through seamless communication between connected devices. AI will increasingly make conversations indistinguishable from those with humans.
In the 2010s, the growing scope of the data landscape gave rise to a new profession: the data scientist. This new role, combined with the creation of data lakes and the increasing use of cloud services, created new employment opportunities in dataanalytics, data architecture, and data management.
The growth of edge computing The proliferation of IoT devices has generated demand for processing power and dataanalytics capabilities as close as possible to where that data is created. Another wrinkle is the AI-in-a-box offering that enables CIOs to deploy turnkey, prebuilt AI packages.
Digital health solutions, including AI-powered diagnostics, telemedicine, and health dataanalytics, will transform patient care in the healthcare sector. 2025 AI and machine learning are expected to evolve significantly in the GCC, driven by national strategies like Saudi Arabias Vision 2030 and the UAEs AI Strategy.
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