NEWS
Nutanix signs MoU with Digital Government Authority in Saudi to accelerate digital transformation
Nutanix , a vendor in hybrid multicloud computing , announced the signing of a Memorandum of Understanding , with the Digital Government Authority , in Saudi Arabia . The aim is developing mechanisms for government agencies to benefit from cloud services , explore digital business opportunities and intensify ways of cooperation to accelerate innovation and digital transformation in Saudi Arabia .
The memorandum was discussed in New York City , during a meeting involving a highlevel delegation from the Authority , headed by His Excellency Eng Ahmed Alsuwaiyan , Governor of the Digital Government Authority , with representatives of Nutanix , Pai Venugopal , Chief Customer Experience Officer , and Talal Al-Saif , Nutanix ’ s Sales Director for Saudi Arabia , Bahrain , Qatar , and Egypt . The agreement was signed in Riyadh .
HE Eng . Ahmed Alsuwaiyan said that this memorandum supports the Authority ’ s initiatives aimed at accelerating the adoption of cloud computing services , and applying international best practices in various fields related to digital government , in order to enhance the Saudi Arabia ’ s digital leadership , localise the technology industry , provide the necessary support for the process of adopting cloud computing services , and raise the quality of digital services .
This is in line with the strategic directions of the digital government and achievement of the goals of Saudi Vision 2030 .
Talal Al-Saif added that the Nutanix platform enables hybrid cloud computing for public sector agencies by allowing them to run and manage workloads and applications across on-premises datacentres , public and private clouds , multiple hypervisors , and containers as a single cohesive infrastructure .
Under this agreement , Nutanix strengthens its cooperation with the Authority and approved XSP service providers , to develop skills and expertise , by providing resource enablement as part of Nutanix ’ s pre-sales activities , in addition to supporting government and public institutions to adopt public cloud computing services , by creating smooth , fast and scalable methods .
SAS Innovate stages in Riyadh to demonstrate decisions based on AI and analytics
SAS Innovate , the global event series visited Riyadh in
September , to demonstrate how Saudi Arabian businesses can make data-driven , faster , and unbiased decisions based on AI and analytics . Held at the Crowne Plaza , the Riyadh edition of SAS Innovate on Tour featured engaging sessions tailored to inspire regional business leaders into the future of analytics and the immense business opportunities they present .
As data and AI are essential components of the Saudi Arabia ’ s Vision 2030 , Riyadh was one of the most significant stops for SAS Innovate . Notably , 66 out of 96 direct and indirect objectives of the nation ’ s ambitious blueprint are related to data and AI .
Bader Bahaian , Country Manager , Saudi Arabia at SAS , said : “ With a National Strategy for Data and AI in place and the ambition to establish Saudi Arabia as the global hub where the best of data and AI is made a reality , SAS strategy is aligned with the country ’ s visionary leadership .”
One of the conclusions from the event was that AI should not only deliver automation but also speed , integration , and confidence across the entire AI and analytics lifecycle .
In light of the exponential growth in data volumes and the emergence of new forms of data , SAS experts shared practical examples of how businesses can alleviate the burdens of data overload and complexity and stimulate faster innovation . For SAS , it all comes down to the fundamental pillars of a modern AI analytics platform : productivity , performance , and trust .
A new benchmarking study by The Futurum Group has revealed that the SAS Viya artificial intelligence , AI and analytics platform is , on average , 30 times faster than commercial and open-source alternatives . Experts also highlight the significance of integrating bias detection and explainability into analytics platforms to ensure that business decisions are transparent , trustworthy , and unbiased . p
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