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AI adoption still in early stages

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Research released at the SAS Analytics Experience event in Amsterdam this week shows that challenges ranging from a skills gap to ethical issues are holding back AI.

The hype surrounding artificial intelligence (AI) is intense. But for most European businesses surveyed in a recent study by SAS, the leader in analytics, AI adoption is still in the early or even planning stages. The good news is, the vast majority of organizations have begun to talk about AI, and a few have even begun to implement suitable projects. There is much optimism about the potential of AI, although fewer were confident that their organization was ready to exploit that potential.

It isn’t so much a lack of available technology slowing AI adoption; most attest that there are many options available. More often, the challenges come from a shortage of data science skills to maximize value from emerging AI technology, and deeper organizational and societal obstacles to AI adoption.

These were some of the findings of the Enterprise AI Promise Study, a phone survey of executives from 100 organizations across Europe in banking, insurance, manufacturing, retail, government and other industries. The SAS study was conducted in August to measure how business leaders felt about AI’s potential, how they use it today and plan to use it in the future, and what challenges they face.

The findings were revealed at the SAS Analytics Experience 2017 conference in Amsterdam this week.

Societal challenges

Fifty-five percent of respondents felt that the biggest challenge related to AI was the changing scope of human jobs in light of AI’s automation and autonomy. This potential effect of AI on jobs includes job losses but also the development of new jobs requiring new AI-related skills.

Ethical issues were cited as the second-biggest challenge, with 41 percent of respondents raising questions about whether robots and AI systems should have to work “for the good of humanity” rather than simply for a single company, and how to look after those who lost jobs to AI systems.

Data science team and organizational readiness

Are organizations’ data scientists ready for the challenge of emerging AI? Only 20 percent felt their data science teams were ready, while 19 percent had no data science teams at all.

Recruiting data scientists to build organizational skills was the plan for 28 percent of respondents, while 32 percent said they would build AI skills in their existing analyst teams through training, conferences and workshops.

Additionally, trust emerged as a major challenge in many organizations. Almost half of respondents (49 percent) mentioned cultural challenges due to a lack of trust in AI output and more broadly, a lack of trust in the results of so-called “black box” solutions.

Platform readiness

The study also sought to assess AI readiness in terms of infrastructure required. There was a contrast between those respondents who felt they had the right infrastructure in place for AI (24 percent), and those who felt they needed to update and adapt their current platform for AI (24 percent) or had no specific platform in place to address AI (29 percent).

Oliver Schabenberger, Executive Vice President and Chief Technoloogy Officer at SAS

Oliver Schabenberger, Executive Vice President and Chief Technoloogy Officer at SAS

“We’ve seen incredible advances in making algorithms perform – with stunning accuracy – tasks that a human could do,” said Oliver Schabenberger, Executive Vice President and Chief Technoloogy Officer at SAS. “It is remarkable that an algorithm beat the best Go player in the world. We thought that the game of Go could not be computerized – by man. But now a machine did it for us. Once the system knew the rules, it learned to play, and played better than the best of our species can play. We can use this knowledge to build systems that solve business problems as well or better than the static systems in use today. We can build systems that learn the rules of business, then learn to play by the rules and are designed to then improve. That is what SAS is working on.”

 

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Huawei Mate 20 unveils ‘higher intelligence’

The new Mate 20 series, launching in South Africa today, includes a 7.2″ handset, and promises improved AI.

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Huawei Consumer Business Group today launches the Huawei Mate 20 Series in South Africa.

The phones are powered by Huawei’s densest and highest performing system on chip (SoC) to date, the Kirin 980. Manufactured with the 7nm process, incorporating the Cortex-A76-based CPU and Mali-G76 GPU, the SoC offers improved performance and, according to Huawei, “an unprecedented smooth user experience”.

The new 40W Huawei SuperCharge, 15W Huawei Wireless Quick Charge, and large batteries work in tandem to provide users with improved battery life. A Matrix Camera System includes a  Leica Ultra Wide Angle Lens that lets users see both wider and closer, with a new macro distance capability. The camera system adopts a Four-Point Design that gives the device a distinct visual identity.

The Mate 20 Series is available in 6.53-inch, 6.39-inch and 7.2-inch sizes, across four devices: Huawei Mate 20, Mate 20 Pro, Mate 20 X and Porsche Design Huawei Mate 20 RS. They ship with the customisable Android P-based EMUI 9 operating system.

“Smartphones are an important entrance to the digital world,” said Richard Yu, CEO of Huawei Consumer BG, at the global launch in London last week. “The Huawei Mate 20 Series is designed to be the best ‘mate’ of consumers, accompanying and empowering them to enjoy a richer, more fulfilled life with their higher intelligence, unparalleled battery lives and powerful camera performance.”

The SoC fits 6.9 billion transistors within a die the size of a fingernail. Compared to Kirin 970, the latest chipset is equipped with a CPU that is claimed to be 75 percent more powerful, a GPU that is 46 percent more powerful and an NPU (neural processing unit) that is 226 percent more powerful. The efficiency of the components has also been elevated: the CPU is claimed to be 58 percent more efficient, the GPU 178 percent more efficient, and the NPU 182 percent more efficient. The Kirin 980 is the world’s first commercial SoC to use the Cortex-A76-based cores.

Huawei has designed a three-tier architecture that consists of two ultra-large cores, two large cores and four small cores. This allows the CPU to allocate the optimal amount of resources to heavy, medium and light tasks for greater efficiency, improving the performance of the SoC while enhancing battery life. The Kirin 980 is also the industry’s first SoC to be equipped with Dual-NPU, giving it higher On-Device AI processing capability to support AI applications.

Read more about the Mate 20 Pro’s connectivity, battery and camera on the next page. 

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Epic Games brings a
Nite-mare to Android

Epic Games’ decision to not publish games through Google Play inadvertently opens a market to Android virus makers, writes BRYAN TURNER.

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Epic Games, the creator of Fortnite, decided to take the high road by skipping Google Play’s app distribution market and placing a third-party installer for its games on its website. While this is technically fine, it is not recommended for the average user, because allowing third-party installers on one’s smartphone opens up the possibility of non-signed and malicious software to be run on the smartphone. 

In June, malware researchers at ESET warned Android gamers that malicious fake versions of the Fortnite app had been created to steal personal information or damage smartphones. A malware researcher demonstrated how the fake applications works in the Tweet below.

While the decision to bypass Google Play was a bold move on Epic Games’ part, it has been a long time coming for app developers to move their premium apps off Google’s Play Store. The two major app distributors, Google Play and Apple’s App Store, take a 30% cut of every purchase made through their app distribution platforms. 

The App Store is currently the only way to get apps on a non-modified iOS device, which is why Epic Games had no choice for Fortnite to be in the App Store. On the other hand, Android phones can install packages downloaded through the browser, which makes the Play Store almost unnecessary for the gaming company. 

The most interesting part of this development is that Google is not the “bad guy” and Epic Games is no saviour to other game developers. Epic Games is a company with a multi-billion dollar valuation and has resources like large-scale servers to distribute and update its games, a big marketing budget to ensure everyone knows how to get its games, and server security to protect against malware. 

Resources of this scale allow the game company to turn a cold shoulder to Google’s Play Store distribution and focus on its own, in-house solution. 

That said, installing packages without the Google Play Store must be done carefully, and it is essential to do homework on where a package is downloaded. Moreover, when a package is installed outside of the Google Play Store, a security switch to block the installation of third party apps must be turned off. This switch should be turned back on immediately after the third party package is installed. 

This complex amount of steps makes it less worthwhile to install third party apps, in favour of rather waiting for them to reach the Play Store.

From a consumer perspective, ESET recommends not installing packages outside of the Google Play Store and to ignore advertisements to download the game from other sources.

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