Featured: AI News’ list of innovative companies to watch in 2021

Companies around the world have ramped up their AI deployments over the past year. As with any emerging technology, AI has brought significant opportunities but also its fair share of challenges.

In this feature, AI News takes a look at some of the most innovative companies leading the way in maximising the opportunities while minimising the challenges of artificial intelligence deployments. In alphabetical order:

Affectiva

Affectiva is an MIT Media Lab spin-off...

3 March 2021 | Big Data

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

ai software development artificial intelligence developer here

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...

3 March 2021 | Deep Learning

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...

3 March 2021 | Adoption

From experimentation to implementation: How AI is proving its worth in financial services

For financial institutions, recovering from the pandemic will put an end to tentative experiments with artificial intelligence (AI) and machine learning (ML), and demand their large-scale adoption. The crisis has required financial organisations to respond to customer needs around the clock. Many are therefore transforming with ever-increasing pace, but they must ensure that their core critical operations continue to run smoothly. This has sparked an interest in AI and ML solutions, which...

15 December 2020 | Adoption

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,...

10 December 2020 | Adoption

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,...

9 December 2020 | Amazon

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...

19 November 2020 | Apple

NVIDIA DGX Station A100 is an ‘AI data-centre-in-a-box’

NVIDIA has unveiled its DGX Station A100, an “AI data-centre-in-a-box” powered by up to four 80GB versions of the company’s record-setting GPU.

The A100 Tensor Core GPU set new MLPerf benchmark records last month—outperforming CPUs by up to 237x in data centre inference. In November, Amazon Web Services made eight A100 GPUs available in each of its P4d instances.

For those who prefer their hardware local, the DGX Station A100 is available in either four 80GB A100...

16 November 2020 | Hardware

Synthesized’s free tool aims to detect and remove algorithmic biases

Synthesized has launched a free tool which aims to quickly identify and remove dangerous biases in algorithms.

As humans, we all have biases. These biases, often unconsciously, end up in algorithms which are designed to be used across society.

In practice, this could mean anything from a news app serving more left-wing or right-wing content—through to facial recognition systems which flag some races and genders more than others.

A 2010 study (PDF) by...

12 November 2020 | Ethics

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,...

5 November 2020 | Machine Learning