State of ModelOps: 90% expect a dedicated budget within 12 months, 80% say risk-management is a key AI barrier

The first annual State of ModelOps report highlights some interesting trends about the real-world adoption of AI in enterprises.

Independent research firm Corinium Intelligence conducted the study on behalf of ModelOp and aims to summarise the state of model operationalisation today.

Stu Bailey, Co-Founder and Chief Enterprise AI Architect at ModelOp, said:

“As the report shows, enterprises increasingly view ModelOps as the key to ensuring operational...

IBM aims to boost AI hardware performance with new Composer tool

IBM’s new AI Hardware Composer tool aims to boost the performance of analog AI hardware.

The tool is being released on the second anniversary of the IBM Research AI Hardware Center. IBM’s pioneering centre launched in 2019 with the aim of improving AI hardware compute efficiency by 2.5 times every year for a decade.

(Credit: IBM)

AI Hardware Composer claims to help both novice and experienced developers to create neural networks and tune analog devices to build...

EU regulation sets fines of €20M or up to 4% of turnover for AI misuse

A leaked draft of EU regulation around the use of AI sets hefty fines of up to €20 million or four percent of global turnover (whichever is greater.)

The regulation (PDF) was first reported by Politico and is expected to be announced next week on April 21st.

In the draft, the legislation’s authors wrote:

“Some of the uses and applications of artificial intelligence may generate risks and cause harm to interests and rights that are protected by Union law....

Machine learning expert Jordan bemoans use of AI as catch-all term

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A pioneer in machine learning has argued that the technology is best placed to augment human intelligence and bemoaned 'confusion' over the meaning of artificial intelligence (AI).

Michael I. Jordan, a professor in the department of electrical engineering and computer science, and department of statistics, at the University of California, Berkeley, told the IEEE that while science-fiction discussions around AI were 'fun', they were also a 'distraction.'

"There's not been...

Affectiva receives six new patents for using AI to analyse vehicle occupants

Human perception AI pioneer Affectiva has been granted six patents for detecting the awareness and emotions of vehicle occupants.

Affectiva Automotive AI combines deep learning with computer vision – using in-vehicle cameras – to analyse the states of the driver and other vehicle occupants in a cabin in real-time.

Dr Rana el Kaliouby, Co-Founder and CEO of Affectiva, said:

“Over the last decade, Affectiva has continuously pursued new patents as we have...

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...

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...

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...

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...