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

datapine

Instead of installing software on your own servers, SaaS companies enable you to rent software that’s hosted, this is typically the case for a monthly or yearly subscription fee. This increases the risks that can arise during the implementation or management process. The next part of our cloud computing risks list involves costs.

Risk 237
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AI dominates Gartner’s 2025 predictions

CIO Business Intelligence

By 2028, 40% of large enterprises will deploy AI to manipulate and measure employee mood and behaviors, all in the name of profit. “AI By 2027, 70% of healthcare providers will include emotional-AI-related terms and conditions in technology contracts or risk billions in financial harm.

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7 types of tech debt that could cripple your business

CIO Business Intelligence

CIOs perennially deal with technical debts risks, costs, and complexities. While the impacts of legacy systems can be quantified, technical debt is also often embedded in subtler ways across the IT ecosystem, making it hard to account for the full list of issues and risks.

Risk 123
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Big Data is Transforming the Future of WordPress Hosting

Smart Data Collective

Forbes contributor Kalev Leetaru recently wrote a fantastic article about the intersection of big data and website hosting. Leetaru notes that big data and cloud technology have led to the evolution of web hosting services. Cloud technology is changing the logistics of many traditional hosting plans. Determine Your Budget.

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Top overlooked GenAI security risks for businesses

CIO Business Intelligence

But adding these new capabilities to your tech stack comes with a host of security risks. For executives and decision-makers, understanding these risks is crucial to safeguarding your business. How should businesses mitigate the risks? Government and regulatory bodies also have a role to play in managing these risks.

Risk 126
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Weighing risk and reward with gen AI vendor selection

CIO Business Intelligence

The risk of going out of business is just one of many disaster scenarios that early adopters have to grapple with. And it’s not just start-ups that can expose an enterprise to AI-related third-party risk. Model training Vendors training their models on customer data isn’t the only training-related risk of generative AI.

Risk 131
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Why you should care about debugging machine learning models

O'Reilly on Data

1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. These recommendations are based on our experience, both as a data scientist and as a lawyer, focused on managing the risks of deploying ML. That’s where model debugging comes in. Sensitivity analysis. Residual analysis.