Connect with us

Big Data

Success with automation and AI requires a high ‘RQ’

Published

on

Companies know that a high IQ can help drive business value. But the analyst outfit Forrester Research believes that if companies are going to successfully work side by side with artificially intelligent systems, they’re also going to need a high “RQ.”

RQ, or robotics quotient, is a measurement of how competent a company will be at automation and AI implementation. The Forrester assessment is based on three main areas: people, leadership and organizational structures. A fourth area, trust, will influence the three main categories and change depending on the type of technology being deployed.

J.P. Gownder, a Forrester analyst serving CIOs, described RQ as the “human contribution” companies need when deploying automation and AI technologies. “It’s not just about the bots; it’s not just about artificial intelligences,” he said in a July presentation at the New Tech and Innovation 2018 conference in Boston. “It’s about real people, real leaders and real organizational structures that you need to put in place to make sure you’re most likely to succeed.”

Toronto moments

Automation and AI technologies are on a spectrum from more deterministic, where A always leads to B, to more probabilistic, where A could lead to B but could also lead to C or to D.

And these probabilistic systems create a new wrinkle for companies: No matter how swanky the user interface or how cutting-edge the technology, probabilistic systems can produce incorrect — and even illogical — results that can erode the trust humans have in the machine’s abilities.

Gownder pointed to IBM Watson as an example. During its Jeopardy! debut in 2011, Watson answered a final question about U.S. cities with “Toronto,” causing the audience to gasp. When researchers did a post-mortem, it became clear that even Watson doubted the response. Using probabilistic judgement, the machine determined that Toronto had only a 30% chance of being correct, but it was the best answer it could come up with at the time.

These “Toronto moments,” as Forrester now refers to them, “teach us something about the intersection between human beings and AI and the trust that is part of this,” Gownder said.

The more probabilistic a system is, the more human intervention it might need. But designing systems and processes that strike a balance between trust and intervention will be a challenging step for companies. That’s where Forrester believes RQ will come in handy.

What is RQ?

The robotics quotient is a self-assessment that “measures the ability of individuals and organizations to learn and adapt to and collaborate with automated entities,” Gownder said. It’s composed of 39 characteristics that Forrester regards as a collection of automation and AI best practices.

Forrester Research, RQ, robotics quotient, PLOT frameworkJ.P. Gownder

The higher the score, the more prepared a company is to tackle the new challenges that come with automation and AI technologies. But RQ doesn’t just measure readiness, according to Gownder. It also enables CIOs to “identify gaps or areas where you need to prioritize resources before you make a big bet on automation and AI,” he said.

The 39 characteristics fall into one of three categories — people, leadership and organizational structure. People, for example, are measured across different dimensions — such as facilitation, which considers how effective an employee might be at communicating with an automated entity, and perception, which includes things like basic digital literacy and “constructive ambition,” or an eagerness to learn.

For leaders, the RQ highlights vision, adaptability, the ability to inspire trust and influence. The final category refers to IT employees and beyond; CIOs will need to influence the C-suite and even the board of directors to secure the budget, buy-in and support that automation and AI tools can demand. “The CIO is no longer a benign dictator who has all the power,” Gownder said. “This is the creation of an ecosystem across business units with lots of participation from the workers themselves.”

Organizational structures will also need to adapt. Automation and AI may require new titles such as bot manager, new training and mentoring opportunities for humans and machines alike, new processes that encourage human-machine team creation, and new metrics. “After all, we can have all the good intentions, and the well-educated employees and the leaders who are on board,” Gownder said, “but if we do not create structures, processes and budgets — the b word — we’re going to have a hard time getting this through.”

Don’t forget about trust

The categories of people, leadership and the organization are then measured against one final category — trust. Gownder called trust “a multiplier in this model.” Automation and AI technologies exist on a spectrum from transparent to opaque, and where the technology falls on that spectrum will influence employee trust.

“If you’re implementing something that is very transparent, that is very deterministic, your employees will bring a high level of inherent trust to the machine. They’re used to these sorts of systems,” Gownder said. “If you’re using probabilistic systems, where the machine is often uncertain of its results, then you’re going to have a higher burden of RQ investment.”

Forrester’s model breaks down the complexity of trust by providing a numeric value for how deterministic the technology is, how transparent the technology is and how much change the technology could have on the workplace.

The changes that automation and AI will have on the workplace could be a sensitive area for leaders, especially as automation and AI instigate changes in the workforce. “As you might imagine, when employees are losing their jobs as part of a deployment of automation, you magnify the mistrust among remaining employees,” Gownder said. “It raises the bar for the change management.”

But the efforts could be worthwhile. As repetitive tasks become automated, job satisfaction generally goes up, Gownder said. And although AI remains in its early stages, it is poised to transform how companies operate and interact with customers.

Whether companies choose Forrester’s RQ method or not, Gownder argued that an organizational competency in AI and automation is needed.

“If you want to be successful in creating a mixed workforce that incorporates digital workers, human workers, lots of automated processes, lots of probabilities, lots of real-time data and AI, you’re going to have to measure your people, your leaders, your organization and the inherent trust that is associated with technology,” he said.

Source: https://searchcio.techtarget.com/feature/Success-with-automation-and-AI-requires-a-high-RQ

Big Data

If you did not already know

Published

on

Data Archaeology google


Data archaeology refers to the art and science of recovering computer data encoded and/or encrypted in now obsolete media or formats. Data archaeology can also refer to recovering information from damaged electronic formats after natural or man made disasters. …

UR-FUNNY google


Humor is a unique and creative communicative behavior displayed during social interactions. It is produced in a multimodal manner, through the usage of words (text), gestures (vision) and prosodic cues (acoustic). Understanding humor from these three modalities falls within boundaries of multimodal language; a recent research trend in natural language processing that models natural language as it happens in face-to-face communication. Although humor detection is an established research area in NLP, in a multimodal context it is an understudied area. This paper presents a diverse multimodal dataset, called UR-FUNNY, to open the door to understanding multimodal language used in expressing humor. The dataset and accompanying studies, present a framework in multimodal humor detection for the natural language processing community. UR-FUNNY is publicly available for research. …

Firebreak Decision Problem google


Suppose we have a network that is represented by a graph $G$. Potentially a fire (or other type of contagion) might erupt at some vertex of $G$. We are able to respond to this outbreak by establishing a firebreak at $k$ other vertices of $G$, so that the fire cannot pass through these fortified vertices. The question that now arises is which $k$ vertices will result in the greatest number of vertices being saved from the fire, assuming that the fire will spread to every vertex that is not fully behind the $k$ vertices of the firebreak. This is the essence of the Firebreak decision problem. …

Stochastic Substitute Training google


It has been shown that adversaries can craft example inputs to neural networks which are similar to legitimate inputs but have been created to purposely cause the neural network to misclassify the input. These adversarial examples are crafted, for example, by calculating gradients of a carefully defined loss function with respect to the input. As a countermeasure, some researchers have tried to design robust models by blocking or obfuscating gradients, even in white-box settings. Another line of research proposes introducing a separate detector to attempt to detect adversarial examples. This approach also makes use of gradient obfuscation techniques, for example, to prevent the adversary from trying to fool the detector. In this paper, we introduce stochastic substitute training, a gray-box approach that can craft adversarial examples for defenses which obfuscate gradients. For those defenses that have tried to make models more robust, with our technique, an adversary can craft adversarial examples with no knowledge of the defense. For defenses that attempt to detect the adversarial examples, with our technique, an adversary only needs very limited information about the defense to craft adversarial examples. We demonstrate our technique by applying it against two defenses which make models more robust and two defenses which detect adversarial examples. …

PlatoAi. Web3 Reimagined. Data Intelligence Amplified.
Click here to access.

Source: https://analytixon.com/2021/07/28/if-you-did-not-already-know-1460/

Continue Reading

Big Data

If you did not already know

Published

on

Data Archaeology google


Data archaeology refers to the art and science of recovering computer data encoded and/or encrypted in now obsolete media or formats. Data archaeology can also refer to recovering information from damaged electronic formats after natural or man made disasters. …

UR-FUNNY google


Humor is a unique and creative communicative behavior displayed during social interactions. It is produced in a multimodal manner, through the usage of words (text), gestures (vision) and prosodic cues (acoustic). Understanding humor from these three modalities falls within boundaries of multimodal language; a recent research trend in natural language processing that models natural language as it happens in face-to-face communication. Although humor detection is an established research area in NLP, in a multimodal context it is an understudied area. This paper presents a diverse multimodal dataset, called UR-FUNNY, to open the door to understanding multimodal language used in expressing humor. The dataset and accompanying studies, present a framework in multimodal humor detection for the natural language processing community. UR-FUNNY is publicly available for research. …

Firebreak Decision Problem google


Suppose we have a network that is represented by a graph $G$. Potentially a fire (or other type of contagion) might erupt at some vertex of $G$. We are able to respond to this outbreak by establishing a firebreak at $k$ other vertices of $G$, so that the fire cannot pass through these fortified vertices. The question that now arises is which $k$ vertices will result in the greatest number of vertices being saved from the fire, assuming that the fire will spread to every vertex that is not fully behind the $k$ vertices of the firebreak. This is the essence of the Firebreak decision problem. …

Stochastic Substitute Training google


It has been shown that adversaries can craft example inputs to neural networks which are similar to legitimate inputs but have been created to purposely cause the neural network to misclassify the input. These adversarial examples are crafted, for example, by calculating gradients of a carefully defined loss function with respect to the input. As a countermeasure, some researchers have tried to design robust models by blocking or obfuscating gradients, even in white-box settings. Another line of research proposes introducing a separate detector to attempt to detect adversarial examples. This approach also makes use of gradient obfuscation techniques, for example, to prevent the adversary from trying to fool the detector. In this paper, we introduce stochastic substitute training, a gray-box approach that can craft adversarial examples for defenses which obfuscate gradients. For those defenses that have tried to make models more robust, with our technique, an adversary can craft adversarial examples with no knowledge of the defense. For defenses that attempt to detect the adversarial examples, with our technique, an adversary only needs very limited information about the defense to craft adversarial examples. We demonstrate our technique by applying it against two defenses which make models more robust and two defenses which detect adversarial examples. …

PlatoAi. Web3 Reimagined. Data Intelligence Amplified.
Click here to access.

Source: https://analytixon.com/2021/07/28/if-you-did-not-already-know-1460/

Continue Reading

Big Data

Sony’s PS5 outstrips predecessor with 10 million units sold since Nov launch

Published

on

By Sam Nussey

TOKYO (Reuters) – Sony Group Corp said on Wednesday its PlayStation 5 (PS5) gaming console has sold more than 10 million units since launching last November, outstripping sales of its predecessor even as the Japanese firm grapples with a global chip shortage.

The PS5, which offers cutting edge graphics and faster loading times than the PS4, is in short supply as the COVID-19 pandemic strains global semiconductor supply chains while demand has risen amid a gaming boom with more people staying indoors.

“We’ve built more PlayStations faster than we ever have before which makes me happy. But on the other hand, we’re some time from being able to meet all the demand that’s out there, which makes me feel bad,” Sony Interactive Entertainment CEO Jim Ryan told Reuters via email.

“Our partners are performing really well for us, but the chip shortage is definitely a challenge that we are all navigating,” Ryan said.

Boosted by exclusive games likes Marvel’s Spider-Man: Miles Morales, which has sold more than 6.5 million copies, PS5 sales have outstripped the PS4.

It took Sony around nine months to sell 10 million units of the PS4, which had a staggered launch. More than 100 million units of the console have been sold since November 2013.

Electronics makers warn of deepening semiconductor shortages, with Apple on Tuesday saying the shortfall is affecting iPhone production.

“Sony’s deep expertise in supply chain management for consumer electronics has enabled it to weather the worst impacts of the pandemic even during the launch of a new product,” said Piers Harding-Rolls, head of games research at Ampere Analysis.

Sony sees demand for the PS5 continuing even as vaccinations spur easing of curbs on going out, Ryan said.

A strong games slate will be crucial to maintain momentum amid competition from Microsoft’s rival Xbox device, analysts say.

Another first-party title for Sony, Ratchet & Clank: Rift Apart, has sold more than 1.1 million copies since its release last month. First-party titles refer to games from companies that are owned by the firm making the console.

The group forecasts PS5 hardware sales of at least 14.8 million units in the year through March.

(Reporting by Sam Nussey; Editing by Himani Sarkar)

Image Credit: Reuters

PlatoAi. Web3 Reimagined. Data Intelligence Amplified.
Click here to access.

Source: https://datafloq.com/read/sonys-ps5-outstrips-predecessor-10-million-units-sold-since-nov-launch/16704

Continue Reading

Big Data

U.S. senators urge barring Huawei, ZTE from $1.9 trillion gov’t funding measure

Published

on

By David Shepardson

WASHINGTON (Reuters) -Two U.S. senators on Wednesday said they are introducing a measure to prohibit funds in a $1.9 trillion government funding measure from being used to purchase Chinese telecommunications equipment from Huawei, ZTE and other companies deemed U.S. security threats.

Senators Tom Cotton, a Republican, and Mark Warner, a Democrat, said the funds that were approved in March in a law known as the American Rescue Plan should not be used to potentially undermine U.S. telecommunications networks.

“With states across the country mapping out their plans for quality and affordable high-speed internet as a result of historic funding from the American Rescue Plan, we’ve got to make sure no community is sacrificing network security,” said Warner.

Huawei and ZTE did not immediately comment.

“The U.S government must take strong action to cut the Chinese Communist Party out of our networks. Americans deserve both reliable and secure telecommunications technologies,” said Cotton.

Earlier this month, the U.S. Federal Communications Commission (FCC) voted unanimously to finalize a $1.9 billion program to reimburse mostly rural U.S. carriers for removing equipment from telecommunications networks from Chinese companies like Huawei and ZTE.

Last year, the FCC designated Huawei and ZTE as national security threats to communications networks – a declaration that barred U.S. firms from tapping an $8.3 billion government fund to purchase equipment from the companies. The FCC in December adopted rules requiring carriers with ZTE or Huawei equipment to “rip and replace” that equipment.

The FCC in September 2020 estimated it would cost $1.837 billion to remove and replace Huawei and ZTE equipment from networks.

(Reporting by David Shepardson in WashingtonEditing by Jonathan Oatis and Matthew Lewis)

Image Credit: Reuters

PlatoAi. Web3 Reimagined. Data Intelligence Amplified.
Click here to access.

Source: https://datafloq.com/read/us-senators-urge-barring-huawei-zte-19-trillion-govt-funding-measure/16703

Continue Reading
Esports4 days ago

Teppei Genshin Impact Voice Actor: Who is it?

Esports4 days ago

Who won Minecraft Championships (MCC) 15? | Final Standings and Scores

Esports4 days ago

All ranked mode rewards for Pokémon UNITE: Season 1

Aviation3 days ago

Legendary F-14 Pilot Dale ‘Snort’ Snodgrass Dies In A Tragic Plane Crash

Cleantech4 days ago

Form Energy Reveals Iron-Air 100 Hour Storage Battery

Esports4 days ago

Sakura Arborism Genshin Impact: How to Complete

Esports5 days ago

Here are the results for the PUBG Mobile World Invitational (PMWI) West 2021

watch-live-russias-pirs-module-set-to-depart-space-station-today.jpg
Aerospace2 days ago

Watch live: Russia’s Pirs module set to depart space station today

Esports5 days ago

Here are the results for the PUBG Mobile World Invitational (PMWI) East 2021

Techcrunch4 days ago

This Week in Apps: Clubhouse opens up, Twitter talks bitcoin, Snap sees record quarter

best-gengar-build-in-pokemon-unite.png
Esports4 days ago

Best Gengar build in Pokémon UNITE

Cyber Security5 days ago

Threat Actors are Abusing Argo Workflows to Target Kubernetes

Esports4 days ago

Are there ranked rewards in Pokémon UNITE?

Cyber Security5 days ago

What Programming Language Should I Learn for CyberSecurity?

Esports4 days ago

Best Garchomp build in Pokémon UNITE

Blockchain4 days ago

Canadian Border Town Halts Crypto Mining to Draw Up Regulations

Esports4 days ago

How to unlock Pokémon in Pokémon UNITE, all Unite License costs

AR/VR4 days ago

Warplanes: WW1 Fighters to See Official Oculus Quest Store Launch This Week

AI4 days ago

What is the Freedom Phone and Should You Buy It?

Crowdfunding4 days ago

Calgary, Alberta’s Allied Venture Partners Confirms they’ve Invested $1M+ into Early-Stage Tech Firms

Trending