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Saudi Arabia has announced a 100 billion USD initiative aimed at establishing itself as a major player in artificial intelligence, data analytics, and advanced technology. This includes initiatives to adopt AI domestically and ultimately position Saudi Arabia as an exporter of AI solutions by 2030.
Pervasive BI remains elusive, but statistics on the category reveal that about a third of employees use BI tools for analytics to inform strategy. The big data and business analytics market could be worth $684 billion by 2030, according to Valuates Reports, if such outrageously high estimates are to be believed.
Digital health solutions, including AI-powered diagnostics, telemedicine, and health data analytics, 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.
In healthcare, AI-driven solutions like predictive analytics, telemedicine, and AI-powered diagnostics will revolutionize patient care, supporting the regions efforts to enhance healthcare services. The Internet of Things will also play a transformative role in shaping the regions smart city and infrastructure projects.
Data readiness and governance are critical for AI success Getting these foundational aspects of AI governance in place will be critical to successful adoption, and for unlocking an opportunity that the Tech Council of Australia estimates could contribute $45 billion to $115 billion per year to the Australian economy by 2030.
SkillsBuild courses are offered in more than 20 languages, including Spanish, covering topics such as communication, leadership skills, AI, analytics, cybersecurity, cloud, and more.
This same solution, graph databases and graph analytics, proved crucial at the height of the Covid-19 pandemic. A testament to its potential, the market for graph technology is projected to reach $11.25B by 2030. [1] Why Graph Analytics is Important for Healthcare Hospitals deal with stockpiles of data.
This is why the overall data and analytics (D&A) market is projected to grow astoundingly and expected to jump to $279.3 billion by 2030. The problem isn’t that organizations lack a wealth of data or advanced analytical tools. That failure can be costly.
Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Data science is a fast growing field, with the BLS predicting job growth of 22% from 2020 to 2030. What is a data scientist?
Oracle recently announced the opening of a new cloud region in the Kingdom , marking a significant step in its efforts to support the Saudi Vision 2030 initiative, which aims to diversify the economy and boost technological innovation.
The SAP Business Technology Platform offers in-memory processing, agile services for data integration and application extension, as well as embedded analytics and intelligent technologies. The API-based open architecture also enables partners and customers to flexibly and continuously expand their IT landscape.
In March 2021, Snap acquired Fit Analytics to further its AR-fueled move into e-commerce. trillion by 2030. At the same time, Snap had updated its Lens Web Builder that allowed brands to create shopping Lenses in a matter of minutes. In July 2021, it acquired 3D and AR commerce company Vertebrae.
In addition, the latest funding will enable SleekFlow to enhance its product development with fintech and data analytics functions, one-click checkouts via social media platforms, and easy in-chat payment integrations for online to offline (O2O) and e-commerce brands’ seamless workflow. trillion by 2030. and other countries in Europe.
It’s a monitoring and analytics product that helps you take better decisions. The global real estate sector needs to act now if it is to halve its emissions by 2030 and meet the net zero target by 2050. French startup Deepki has raised a $166 million Series C funding round (€150 million).
According to a new IDC report , 98% of business leaders view AI as a priority for their organization and the research firm expects AI to add $20 trillion to the global economy through 2030. That’s not necessarily the case, says Christina Janzer, SVP of research and analytics at Slack.
billion by 2030, forward-thinking organisations and higher education institutions are realising that IoT technologies are providing access to insights and making things possible now that were too expensive or difficult just a few years ago. . As the adoption of IoT devices is expected to reach 24.1
But with Minit, the tech giant is doubling down on a software category that could be worth over $11 billion by 2030, according to a report from Polaris Market Research. Celonis pushes into Microsoft ecosystem with $100M Process Analytics Factory acquisition.
But it has since evolved to offer other services under its platform, including HeliumPay, a billing and payments solution; a collateral-free loan product, HeliumCredit; patient-provider and revenue cycle management service HeliumDoc; and data analytics services.
It’ll certainly need a substantial war chest to compete in the growing market for data analytics products. O9 Solutions, which applies analytics to the supply chain and inventory planning and management, recently raised $295 million in a funding round that values the company at $2.7 Unsupervised, Pecan.ai
It will source 75% of electricity from renewable sources across all Dell Technologies facilities by 2030—and 100% by 2040. When it comes to infrastructure solutions, Dell offers a range of energy-efficient hardware options to help you build the most efficient infrastructure you can.
The achievement is testament to ADNOC’s longstanding strategy to develop and deploy pioneering technologies such as AI, robotic automation, and advanced data analytics. AI is also supporting ADNOC’s net zero by 2045 ambition and its target to achieve near-zero methane emissions by 2030.
million customers in New England, has an aggressive target of reaching net-zero carbon emissions by 2030. But in order to get the carbon intelligence — in order to get the best data analytics and intelligence — there is no way for you to achieve that objective without working with the supply side.”. His company, which serves 4.4
As an extension of the country’s Vision 2030, the Saudi Data and AI Authority (SDAIA) was established in 2019, followed by the release of the National Strategy for Data and AI in 2020. Canada, China, and the United States are among the countries in which many organizations began their AI journeys early, supported by government initiatives.
As an extension of the country’s Vision 2030, the Saudi Data and AI Authority (SDAIA) was established in 2019, followed by the release of the National Strategy for Data and AI in 2020. Canada, China, and the United States are among the countries in which many organizations began their AI journeys early, supported by government initiatives.
Fusion Data Intelligence — which can be viewed as an updated avatar of Fusion Analytics Warehouse — combines enterprise data, ready-to-use analytics along with prebuilt AI and machine learning models to deliver business intelligence.
It was a brilliant move by AWS, because it immediately lowered the bar for a small company to start doing analytics. The cloud in 2030. One way to tell the story in 2030 looking backwards is that the cloud vendors needed software running on top of it, so they had to provide that themselves first, in order to drive cloud adoption.
In healthcare, AI-powered diagnostics, telemedicine, and health data analytics will revolutionize patient care, while the financial services industry will experience rapid digitalization through advancements in digital payments, open banking, and Central Bank Digital Currencies (CBDCs).
Why the synergy between AI and IoT is key The real power of IoT lies in its seamless integration with data analytics and Artificial Intelligence (AI), where data from connected devices is transformed into actionable insights. In Asia, Singapore aims to green 80% of its buildings by 2030 as part of its sustainability initiative.
billion investment to boost the country’s cloud capacity in line with Saudi Vision 2030 To meet the rapidly growing demand for its AI and cloud services, Oracle announced the opening of its second public cloud region in Saudi Arabia. Located in Riyadh, the new cloud region will be part of a planned USD 1.5
The platform provides various tools and apps for accomplishing different tasks across freight procurement, trade and transport management, freight audit and payment and document management, as well as dispatch planning and analytics. Customers can customize the tools and apps or build their own using Pando’s APIs.
will total $100 billion by 2030 — a figure that will cover both large enterprises and SMBs, which is one reason that investors are interested. . “Underwriting cyber insurance for SMEs is a more dire prospect than for large enterprises,” he said.
The migration, still in its early stages, is being designed to benefit from the learned efficiencies, proven sustainability strategies, and advances in data and analytics on the AWS platform over the past decade. Dickson says that DS Smith also plans to use virtual private clouds for some corporate data, giving it flexibility and control.
We started on our digital transformation over the course of the last year or two and are working to reduce our digital sprawl and towards a singular ecosystem that allows us to have a complete view of our systems and our data, with a focus of being digitally capable and ready by 2030, Cook says.
Roger Magoulas recently sat down with Rob Thomas and Tim O’Reilly to discuss Thomas’s AI framework called the AI Ladder, which, according to his recent paper , is a framework that describes “the increasing levels of analytic sophistication that lead to, and buttress, a thriving AI environment.” It’s hard to overlook numbers that big.
To illustrate, Farys expects a 20% cost reduction potential due to increased efficiency in administration and business operations as a result of integration between all components, one source of truth, and extensive analytics, with the ability to unlock artificial intelligence (AI) and machine learning (ML). More than 2.7
According to Forrester , GenAI will have an average annual growth rate of 36% up to 2030, capturing 55% of the AI software market. Integrating with the cloud offers advanced analytics capabilities that can help organizations extract the most valuable insights from their data with AI in a secure environment.
A recent McKinsey report found that, although up to 30% of Americans’ work could be automated by 2030 , GenAI will be an enhancement to humans, not a replacement. EXL’s BA CoPilot, for instance, leverages clean, comprehensive datasets across all aspects of the SDLC, ensuring accuracy in requirement gathering and defect prediction.
This event underscores our dedication to shaping the future of IT in alignment with the Kingdom’s ambitious Vision 2030, where artificial intelligence will undoubtedly play a pivotal role and local talent will drive the change. It’s an honor to contribute to discussions that will define the technological landscape of tomorrow.”
Unlike traditional forms of encryption, which make using encrypted data impossible without decryption, homomorphic encryption allows software to perform computations, searches or analytics as if the data wasn’t encrypted. Global Market Insights predicts the industry could be worth $300 million by 2030.)
billion by 2030. The controllers with AI/ML enabled network analytics and assurance, which automatically alert IT to network anomalies and offers actionable insights to fix those before they become service affecting. Estimates show that the Wi-Fi 7 Global Market Size will be US$ 24.2
To achieve all that, I’ll follow your ambition — 10 technology companies that are worth €100 billion or more by 2030,” Macron said. Tech giants tend to control a large chunk of their tech stack, including in areas such as cloud hosting, payments, analytics, advertising and artificial intelligence. or in China.
As an example, the US Navy set a vision for 2030 related to the future of naval information warfare, creating a Hollywood-produced video, which became a north star for the organization, unlocking millions in funding for AI. The focus and types of innovation and thought leadership you pursue are important, too.
They expect that by 2030, this number will jump to one in every four firms. With these dual pressure points, there is an opportunity to generate outsized operational efficiency and value creation driven by data analytics and AI. Thats still a stretch for many firms.
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