Remove use-case streaming-applications
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Machine learning model serving architectures

Xebia

In this blog we will discuss the most common serving architectures 1 ; batch predicting, on-demand synchronous serving and streaming serving. A prediction is as stale as the input data and model used to compute it. A higher ingestion frequency means more time sensitive use cases can be addressed.

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The use cases for a private wireless networks are many and increasing

CIO

Whether an enterprise’s use cases demand 4G LTE connectivity or the unprecedented speed and low latency of 5G, private wireless networks are helping keep devices, networks, and people connected and able to share and access data in real or near-real time. “We Their new private 5G network completely eliminated that issue.”

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Inferencing holds the clues to AI puzzles

CIO

As with many data-hungry workloads, the instinct is to offload LLM applications into a public cloud, whose strengths include speedy time-to-market and scalability. Data-obsessed individuals such as Sherlock Holmes knew full well the importance of inferencing in making predictions, or in his case, solving mysteries.

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Decoding Salesforce’s plausible $11 billion bid to acquire Informatica

CIO

Salesforce’s reported bid to acquire enterprise data management vendor Informatica could mean consolidation for the integration platform-as-a-service (iPaaS) market and a new revenue stream for Salesforce, according to analysts. This challenge requires tools with capabilities outside of what MuleSoft and Tableau can offer,” Park explained.

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

CIO

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. It’s streaming data that’s collected, processed, and analyzed on a continuous basis.

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The New Way Companies are Harnessing Data at the Edge for Value Added in Real-Time

CIO

Imagine an airport that uses computer vision to track errant luggage in real time, or a commercial kitchen able to detect refrigeration conditions and prevent spoilage. In each case, they are taking strategic advantage of data generated at the edge, using artificial intelligence and cloud architecture.

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Activeloop snags $5M seed to build streaming database for AI applications

TechCrunch

Activeloop , a member of the Y Combinator summer 2018 cohort , is building a database specifically designed for media-focused artificial intelligence applications. He came up with the idea for streaming the data while working on large amounts of data at the neuroscience lab at Princeton.