The pandemic may be receding, but emergent situations like fires, hurricanes, and other events disruptive to business continue to arise frequently. The impact on business is significant, and it all amps up the need for organizations to be agile in a data-driven manner. Meanwhile, the data and analytics world has many segments, islands of functionality, areas of innovation, and ecosystems within ecosystems. That makes data technology-rich, but it can also slow down data-driven progress. To fix this, we must take an end-to-end approach to analytics.
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Delivering on the promise of 5G is a common dilemma faced by mobile network operators and site location aggregators. Comprehensive insights, when combined with location intelligence, are critical for optimal planning and decision making yet achieving this is no easy feat.
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Hydro One transitioned its entire IT infrastructure to the cloud while also implementing organization changes to support the new technology.
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Working on the cutting edge of low latency networks brings a constant need to go even “faster”. Global financial institutions and financial services firms deploying extremely fast Layer 1 switching have a significant technology challenge to interconnect key systems and in-network applications deployed on FPGAs and, at the same time, eliminate as much latency as possible. As you add capacity the scale of the ultra-high performance network systems has become constrained by both device density and overall solution complexity.
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