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12 Cloud Computing Risks & Challenges Businesses Are Facing In These Days

datapine

billion and is expected to expand at a rate of 15.7% (CAGR) between now and 2030. This increases the risks that can arise during the implementation or management process. The risks of cloud computing have become a reality for every organization, be it small or large. Cost management and containment.

Risk 237
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2025 Middle East tech trends: How CIOs will drive innovation with AI

CIO Business Intelligence

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. As digital transformation accelerates, so do the risks associated with cybersecurity.

IoT 105
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The case for predictive AI

CIO Business Intelligence

According to Forrester , GenAI will have an average annual growth rate of 36% up to 2030, capturing 55% of the AI software market. It aids decision-making processes, allowing businesses to optimize operations, identify potential risks, and develop data-driven strategies.

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Microsoft joins SAP, Oracle in setting sunset date for legacy ERP support

CIO Business Intelligence

Dynamics 365 Business Central is Microsoft’s flagship SMB ERP product, optimized to help businesses thrive in a new world of cloud and AI computing,” Morton said in a blog post announcing the end of support. What it calls an “offboarding phase” will be followed by optional extended maintenance until the end of 2030.

Risk 130
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AI Is Changing the Automotive Industry Forever

Smart Data Collective

billion last year , but it is projected to be worth nearly $20 billion by 2030. From autonomous vehicles to predictive maintenance and optimized production processes, AI is revolutionizing every aspect of the automotive industry. AI can even be used for insurance programs that monitor driver behavior to calculate risks and costs.

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Defining a new era of exponential companies

CIO Business Intelligence

The businesses of 2040 or 2050 will have more in common with the operating models built for 2030 than they will with those in 2020. And to do that, new operating models must be fashioned to become AI-native and optimized. Evolve: Identify literacy, skills, and technologies needed to execute (automate, optimize and augment).

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Determining the best architecture for your CX platform

CIO Business Intelligence

Yet this acceleration can aggravate business management and create fundamental business risk, especially for established enterprises. The cloud is the way to innovate at scale and speed, but enterprises need to move tactfully to strike the optimal balance between control, security, and scalability.