Opinion: Best practices for building an AI serving engine

One of the most critical steps in any operational machine learning (ML) pipeline is artificial intelligence (AI) serving, a task usually performed by an AI serving engine.

AI serving engines evaluate and interpret data in the knowledgebase, handle model deployment, and monitor performance. They represent a whole new world in which applications will be able to leverage AI technologies to improve operational efficiencies and solve significant business problems.

Best...

Five common use cases where machine learning can make a big difference

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While many industries are struggling amid the coronavirus pandemic, both the IT industry and the broader trend of transition to remote work have revealed many areas where traditional approaches to managing businesses create unnecessary waste. Still, data science and its subdivision - machine learning - reveal that such expansion is nearly limitless.

Machine learning uses powerful algorithms to discover insights based on real-world data that can then be used to make predictions...

Algorithmia’s latest tools aim to solve ML governance challenges

Algorithmia is today debuting new reporting tools which aim to solve machine learning (ML) governance challenges.

Research conducted by the company found that the number one challenge organisations are facing with their deployments is governance.

56 percent of the IT leaders surveyed by Algorithmia ranked governance, security, and auditability issues as a major concern. 67 percent report having to comply with multiple regulations—of which the penalties of failing to do...

Algorithmia: AI budgets are increasing but deployment challenges remain

A new report from Algorithmia has found that enterprise budgets for AI are rapidly increasing but significant deployment challenges remain.

Algorithmia’s 2021 Enterprise Trends in Machine Learning report features the views of 403 business leaders involved with machine learning initiatives.

Diego Oppenheimer, CEO of Algorithmia, says:

“COVID-19 has caused rapid change which has challenged our assumptions in many areas. In this rapidly changing environment,...

AWS announces nine major updates for its ML platform SageMaker

Amazon Web Services (AWS) has announced nine major new updates for its cloud-based machine learning platform, SageMaker.

SageMaker aims to provide a machine learning service which can be used to build, train, and deploy ML models for virtually any use case.

During this year’s re:Invent conference, AWS made several announcements to further improve SageMaker’s capabilities.

Swami Sivasubramanian, VP of Amazon Machine Learning at AWS,...

TensorFlow is now available for those shiny new ARM-based Macs

A new version of machine learning library TensorFlow has been released with optimisations for Apple’s new ARM-based Macs.

While still technically in pre-release, the Mac-optimised TensorFlow fork supports native hardware acceleration on Mac devices with M1 or Intel chips through Apple’s ML Compute framework.

The new TensorFlow release boasts of an over 10x speed improvement for common training tasks. While impressive, it has to be taken in the context that the GPU...

Algorithmia announces Insights for ML model performance monitoring

Seattle-based Algorithmia has announced Insights, a solution for monitoring the performance of machine learning models.

Algorithmia specialises in artificial intelligence operations and management. The company is backed by Google LLC and focuses on simplifying AI projects for enterprises just getting started.

Diego Oppenheimer, CEO of Algorithmia, says:

“Organisations have specific needs when it comes to ML model monitoring and reporting.

For example,...

NVIDIA chucks its MLPerf-leading A100 GPU into Amazon’s cloud

NVIDIA’s A100 set a new record in the MLPerf benchmark last month and now it’s accessible through Amazon’s cloud.

Amazon Web Services (AWS) first launched a GPU instance 10 years ago with the NVIDIA M2050. It’s rather poetic that, a decade on, NVIDIA is now providing AWS with the hardware to power the next generation of groundbreaking innovations.

The A100 outperformed CPUs in this year’s MLPerf by up to 237x in data centre inference. A single NVIDIA DGX A100...

Microsoft’s new AI auto-captions images for the visually impaired

A new AI from Microsoft aims to automatically caption images in documents and emails so that software for visual impairments can read it out.

Researchers from Microsoft explained their machine learning model in a paper on preprint repository arXiv.

The model uses VIsual VOcabulary pre-training (VIVO) which leverages large amounts of paired image-tag data to learn a visual vocabulary.

A second dataset of properly captioned images is then used to help teach the...

AI is helping mobile operators to cope with pandemic demand

Artificial intelligence is helping telecoms operators to boost the RAN capacity of their 4G networks by 15 percent.

More people than ever are relying on telecoms networks to work, play, and stay connected during the pandemic. Operators are doing all they can to ensure their existing networks have enough capacity to cope with demand.

Gorkem Yigit, Principal Analyst at Analysys Mason, said:

“Video streaming continues to experience high year on year growth and...