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8 data strategy mistakes to avoid

CIO

How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Unfortunately, the road to data strategy success is fraught with challenges, so CIOs and other technology leaders need to plan and execute carefully. Overlooking these data resources is a big mistake.

Strategy 340
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Underlying challenges manufacturing enterprises face during cloud migration

Trigent

When interconnected, they struggle to deal with unstructured data and the process required to scale that solution across the enterprise. Automation technology supplier Emerson for instance, witnessed a surge in the use of sensors combined with edge gateways when manual on-site inspection became difficult. We can help you too.

Cloud 52
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The C-suite is expanding — and IT leaders are stepping up

CIO

Technology such as AI is redefining business models, requiring organizations to make the seismic shift from a novice technology organization to a mature and trusted leader,’’ says Raj Sharma, consulting vice chair at EY Americas. “As This work is critical and feeds directly into how the company uses AI.”

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CloudBank’s Journey from Mainframe to Streaming with Confluent Cloud

Confluent

This case study is based off real, concrete war stories, and will detail how Confluent Cloud was a key enabler for their digital strategy, unfolding new ways to capitalize on their product and differentiate their business, by leveraging the power of Apache Kafka and the cloud at the same time. CTO of CloudBank. CTO of CloudBank.

Cloud 87
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6 warning signs CIOs should look out for in 2024

CIO

“Readiness is determined by the ability to experiment, and the ability to scale what works — building this capacity is critical to be future-ready,” says Siim Sikkut, former government CIO of Estonia, who’s now managing partner at IT consultancy Digital Nation. I think for small and medium enterprises, it’s going to be pretty tough.”

Security 338
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Engineering dependability and fault tolerance in a distributed system

High Scalability

This is a guest post by Paddy Byers , Co-founder and CTO at Ably , a realtime data delivery platform. In practice, because from time to time individual elements will inevitably fail, this means you have to be able to continue in spite of those failures. You can view the original article on Ably's blog. Stateful services.

System 86