What is cloud computing and what people think about it?
Cloud Computing prediction Of 2018
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Organizations are transforming with Cloud Modernization, Big Data, Customer Centricity and Data Governance. The foundation for these initiatives is critical business data, that allows organizations...
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Here are three issues that need artificial intelligence companies need to address as the technology evolves and invades even more domains: Top 3 Challenges...
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With a few exceptions, the bulk of brands to date have mostly leveraged big data for short-term purposes. For instance, companies have learnt how...
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There are myths that cloud computing is inherently less secure than traditional approaches. This infographic explores four reasons why the Cloud is more secure than an on-premise backup, storage, and computing systems, otherwise known as...
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The promise of predictive maintenance—anticipating equipment failures before they halt production—rests on a seemingly simple foundation: data. Vast streams of sensor telemetry, vibration signatures,...
The smart factory generates a relentless cascade of data—millions of sensor readings, high-resolution camera images, robotic telemetry, and quality control metrics—all streaming from the...
Artificial Intelligence is no longer experimental in manufacturing—it is operational. From predictive maintenance to computer vision–based quality inspection and demand forecasting, AI is deeply...
Financial markets are engines of volatility, where calm can erupt into chaos in seconds, driven by news, algorithms, and global sentiment. This environment presents...
Financial AI exists at the intersection of three non-negotiable demands: the need for latency so low it makes microsecond arbitrage possible, the iron-clad compliance required to satisfy global...