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Prioritizing AI? Don’t shortchange IT fundamentals

CIO

Fundamentals like security, cost control, identity management, container sprawl, data management, and hardware refreshes remain key strategic areas for CIOs to deal with. Data due diligence Generative AI especially has particular implications for data security, Mann says.

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Maximise productivity for employees and IT staff in the hybrid work era

CIO

For example, 40% of employees no longer have a dedicated desk, according to research from Start Standing. In addition, a study by Harvard Business Review in 2023 found senior executives expect remote and hybrid work to continue to grow over the next five years. Work has fundamentally shifted in today’s post-pandemic world.

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Streetlogic launches computer vision-based e-bike collision warning system, raises $2.1M

TechCrunch

Canada and Europe can pre-order Streetlogic’s advanced driver assistance system (ADAS) for e-bikes with a down payment of $30. The final retail price will be around $300 to $400, and the first batch of mass produced systems is expected for delivery by the end of 2022, according to Jonathan Denby, CEO and founder of Streetlogic.

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Finally leverage edge by adopting an as-a-service approach

CIO

However, many organizations simply don’t have the resources or the expertise to build or manage the complex distributed systems required for effective edge computing delivery, a distributed computing paradigm that brings computation and data storage closer to the sources of data.

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Infogrid raises $90M for its AI-driven building monitoring tech

TechCrunch

” De Gruchy — who has a fascinating history, having studied cage fighting and served as an army officer before pivoting to a quieter, white-collar career in due diligence analysis — founded Infogrid in 2018. The growing number of competitors coincides with an uptick in VC investments in IoT companies.

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StartupOS launches what it hopes will be the operating system for early-stage startups

TechCrunch

“Unfortunately, however, not every founder has the same level of empowerment and support due to their background and or geographic location. “For example, a corporate client in financial services with a StartupOS data subscription can access median revenue growth, cash burn, etc. Through StartupOS, we aim to change that.”

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What is a liquid neural network, really?

TechCrunch

Ramin Hasani’s TEDx talk at MIT is one of the best examples. MIT says, for example, that a team was able to drive a car through a combination of a perception module and liquid neural networks comprised of a mere 19 nodes, down from “noisier” networks that can, say, have 100,000. “A We want to scale down, to have fewer but richer nodes.”

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