Remove Data Engineering Remove Infrastructure Remove Storage Remove Transportation
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5 hot IT budget investments — and 2 going cold

CIO

Upgrading cloud infrastructure is critical for deploying broad AI initiatives more quickly, so that’s a key area where investments are being made this year. Besides surgery, the hospital is also investing in robotics for the transportation and delivery of medications.

Budget 363
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Hire Big Data Engineer: Salaries, Stack and Roles

Mobilunity

The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. Who is Big Data Engineer? Big Data requires a unique engineering approach. Big Data Engineer vs Data Scientist.

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Unlocking the Power of AI with a Real-Time Data Strategy

CIO

Supply chain With companies trying to stay lean with just-in-time practices, it’s important to understand real-time market conditions, delays in transportation, and raw supply delays, and adjust for them as the conditions are unfolding. This can only be achieved if the underlying data infrastructure is unified, robust, and efficient.

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How companies around the world apply machine learning

O'Reilly Media - Data

Data Science and Machine Learning sessions will cover tools, techniques, and case studies. This year’s sessions on Data Engineering and Architecture showcases streaming and real-time applications, along with the data platforms used at several leading companies. Here are some examples: Data Case Studies (12 presentations).

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Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. After all, machine learning with Python requires the use of algorithms that allow computer programs to constantly learn, but building that infrastructure is several levels higher in complexity. For now, we’ll focus on Kafka.

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Supply Chain Control Tower: Enhancing Visibility and Resilience

Altexsoft

If we speak about end-to-end visibility, we mean that we should be able to have a granular view of all the main components of a supply chain: transportation – which entails control over the actual delivery process, tracking shipments , predicting ETA , etc.; increase customer satisfaction by giving real-time status updates; and so on.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

Refresh your understanding of the AWS Shared Responsibility Model as it applies to infrastructure, services, and data when you build LLM solutions. AWS is architected to be the most secure global cloud infrastructure on which to build, migrate, and manage applications and workloads.