ArtificiaI Intelligence (AI) Archives - The EE

Lessons from AI deployments today point to a rosy future

Transforma Insights’ examination of real-world artificial intelligence (AI) deployments shows that most today are focused on mundane applications delivering cost savings, rather than being truly transformational. However, rapid pay-back and high levels of automation bode well for more widespread adoption in innovative fields. Matt Hatton, co-founder of Transforma Insights reports.

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IoT can get you back to work

The City of London usually welcomes around 550,000 workers daily. Today that number is closer to 15,000. Why? Because the majority of City workers have to commute by public transportation train, tube or bus to get to work. In the past, says Bart Schouw, chief evangelist at Software AG, this meant sitting or more likely standing in a crowded, hot space with no air conditioning (and not enough people wearing masks).

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How AI enhances connected device manufacturers’ fraud detection and prevention

As sure as the sun rises in the east, when money is actively exchanging hands, scammers will shortly get a whiff and show up to take what they can. And so, says Judd Bagley, VP of marketing at Everise, it is in the market for connected devices, where Statista reports that in 2019, new smart phone and smart home product revenues in the US alone combined to reach just under $160 billion (€135.23 billion) – which is more than the GDP of Ukraine.

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Navigating ‘Big Tech’ threat in banking; Banks can learn from fintech

In 2017, the World Economic Forum (WEF) released a report which cited ‘Big Tech’ as a greater threat to banks than fintech. Three years later, says Eelco-Jan Boonstra, managing director of EMEA at Mambu, this continues to hold true as we’ve seen technology giants such as Google, Apple and Facebook move deeper into the world of finance.

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VIDEO: We are at a pivotal point in AI. How will data bias affect future decisions?

In the world of AI and machine learning, it’s common to hear fear-based statements about what the poor decisions unchecked algorithms might make.

What most people rarely hear about are the actual challenges that cause AI practitioners to worry.

FICO’s Chief Analytics Officer, Scott Zoldi sat down with Kate Crawford, a Distinguished Research Professor at NYU and a Principal Researcher at Microsoft Research, to discuss how unconscious data bias and untrained data scientists poses risks to AI models and the trust we place in business decisions derived from them.

Why you should watch their candid conversation:

  • How will data bias affect future decisions?
  • How unconscious data bias and untrained data scientists poses risks to AI models
  • How data bias and machine learning are remapping our society
  • The real problems with AI that keep data scientists up at night
  • What businesses and data scientists need to do to ensure ethical AI
  • How to avoid introducing gender bias and other forms of bias into AI models

Register to watch the video >>

Industries revolutionised by smart technologies

When we think about rapid developments in terms of wireless technology, we often automatically assume it’s in regard to telecommunications. However, with so many alternative industries taking advantage of the offerings that wireless technology and connectivity provides, this couldn’t be further from the truth, says Sam Taylor, marketing executive at Nomad Digital.

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AI-based marketing capabilities for CSPs developed by Veego

Veego Software, that aims to perfect the internet experience in the connected home through the application of AI and other innovative technologies, has released its latest solution. Smart Marketing, is said to enable communication service providers (CSPs), media providers, smart device manufacturers, and app creators to understand and personalise the experience of every internet user.

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Technical AI talent has grown to 477,000 globally with emerging hot spots taking larger share, study shows

Jean-Francois (JF) Gagne, CEO and founder of Element AI, a global developer of artificial intelligence-powered (AI) solutions and software, today announced the release of the third annual Global AI Talent Report. The 2020 report examines the most current global patterns for the worldwide AI talent pool. 

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MEC adoption parameters proposed for enterprise and CSP consideration

Multi-access edge computing (MEC), formerly called mobile edge computing, is an ETSI-defined network architecture concept that enables cloud computing at the edge of a network. In layman’s terms it brings cloud advantages at the edge of the network or closure to customer services outside regular cloud deployments hereby reducing latency and bringing in efficiency.

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Knowledgehook raises £13.5mn as demand for math learning surges

Knowledgehook, a mathematics learning platform, has raised UK£13.5 milion Series A equity funding. The round has been led by a UK-based EdTech investment fund with participation from Mesoamerica’s Alexandria Corp., Nelson Education, Ideal Ventures, and Nicoya Ventures. This financing follows Knowledgehook’s 2016 seed round that included John Abele’s North Point Ventures.

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New industrial AI solutions to accelerate self-optimising plant

Aspen Technology, Inc., a global provider of asset optimisation software, has announced the general availability of the aspenONE V12 software release, which embeds artificial intelligence (AI) across the portfolio. It also uses the cloud for delivery of enterprise-wide analytics and insights for increased safety, sustainability, and improved margins.

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