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You are here: Home / Archives for AI

AI

Top Strategic Technology Trends for 2021

November 13, 2020 by Julie McGrath

Gartner produces one of the most comprehensive lists of the trends that CIOs and other senior executives should be paying attention to. This year, Gartner vice president Brian Burke presented the Top 10 strategic technology trends for 2021, grouping the main trends into “people centricity,” “location independence,” and “resilient delivery.” People centricity carries over from last year’s list but you can certainly see the increased emphasis on location independence and resilient delivery as a reaction to the pandemic, something no one saw a year ago.

Burke said 2020 has seen huge upheaval driven by the pandemic and its related economic impacts, and this sets the stage for a major change in the IT landscape. “CIOs must now strive to rapidly adapt to changing conditions to compose the future business. This requires the organizational plasticity to form and reform dynamically as business conditions change.”

 

People centricity highlights the way technology impacts stakeholders across the ecosystem, focusing on how people’s behaviors, experiences, and privacy will change. Location independence recognized that employees, suppliers, and customers can be anywhere and that the pandemic has accelerated the use of remote channels. Distributed cloud, anywhere operations, and new security paradigms drive this theme. Resilient delivery creates a technology organization that can rapidly adapt to overcome new challenges and support new operations. This includes creating a composable business architecture (which was the theme of this year’s IT Symposium/Xpo conference keynote), supported by AI engineer and hyperautomation technologies.

Note this list is separate from Gartner’s top predictions.

The top strategic technology trends for 2021 are below.

People Centricity

  1. Internet of Behaviors

Within the people centricity label, Burke started out by describing the Internet of Behaviors, which he said combines existing technologies that focus on the individual directly – facial recognition, location tracking and big data for example – and connects the resulting data to associated behavioral events, such as cash purchases or device usage.

He talked about how our ability to capture behaviors has improved, and we now can process behavioral events to do things such as measure driving performance to change insurance rates, or to create credit scores. He noted that while more things based on events are technically possible, there will be extensive ethical and societal debates about the different approaches employed to affect behavior.

By the end of 2025, he said, over half of the world’s population will be subject to at least one Internet of Behaviors program, whether private, commercial, or governmental.

 

  1. Total Experience

Burke said the second trend is “total experience,” which builds on last year’s “multi-experience” trend, talking about how organizations need a strategy that connects customer and employee experiences. This includes a range of interlocked experiences from the actual user experience of the product to interaction, participation, and advocacy.

He said Gartner predicts that by 2024, organizations providing a total experience will outperform competitors by 25 percent in satisfaction metrics for both customer and employee experience.

 

  1. Privacy-Enhancing Computation

Privacy is becoming a bigger issue, and new regulations will force organizations to be more concerned about privacy protection. Burke discussed new methods for delivering privacy such as differential privacy, homomorphic encryption, and trusted execution environments now offered on some CPUs and by the major clouds. He talked about being able to do things such as search on encrypted data; and protecting data when outsourced providers are using it or when sharing with untrusted partners.

Gartner believes that by 2025, half of large organizations will implement privacy-enhancing computation for processing data in untrusted environments and multiparty data analytics use cases.

Location Independence

  1. Distributed Cloud

New regulations, data residency requirements, and technologies such as edge computing are beginning to move many workloads away from central clouds to a more distributed environment. In this process, computing takes place at different physical locations, while the operation, governance, and evolution of the services remain the responsibility of the public cloud provider. Today we’re already seeing the big cloud providers creating “edge clouds” designed for Internet of Things (IoT) application, he said, with other models such as a metro area community cloud, 5G mobile edge cloud, and network edge cloud emerging.

He said there will be two paths for organizations to get there—one in which all the services are part of a single ecosystem, which typically includes the most features and integration; or portable applications and services, which gives you more ability to use different providers but typically offers fewer features.

Gartner says that by 2025, more than half of organizations will use a distributed cloud option at the location of their choice, enabling transformational business models.

  1. Anywhere Operations

In the new world, organizations have customers everywhere, employees everywhere, and a variety of services that again can be anywhere. Burke said we need an IT operating model that embraces remote operations and things such as virtual delivery. The key ideas here, Burke said, are digital first, remote first; digitally enhanced physical spaces, and distributed business capabilities.

By the end of 2023, Gartner predicts 40 percent of organizations will blend virtual and physical experiences leading to increased workforce productivity and customer reach.

 

  1. Cybersecurity Mesh

Burke noted that most organizational assets are now outside the traditional physical and logical security perimeters. Therefore he said, we need a “cybersecurity mesh” that enables anyone to access any digital asset securely, no matter where the asset or person is located. This would decouple policy enforcement from policy decision making via a cloud delivery model and allows identity to become the security perimeter.

 

Gartner predicts that by 2025, the cybersecurity mesh will support over half of digital access control requests.

Resilient Delivery

  1. Intelligent Composable Business

Recapping some of the theme’s from the conference’s keynote at this year’s IT Symposium/Xpo conference, Burke talked about the importance of having an intelligent composable business that radically re-engineers decision-making by accessing better information and responding more nimbly to it. He discussed how data, analytics, or applications need to work together to create more plasticity, and how organizations will need a data fabric and an application composition platform.

By 2023, Gartner predicts that organizations that have adopted a composable approach will outpace the competition by 80 percent in the speed of new feature implementation.

  1. AI Engineering

Gartner research shows that only 53 percent of projects make it from artificial intelligence (AI) prototypes to production. To create sustainable AI operations at scale, Burke said organizations will require AI engineering, which he said is based on three pillars: development operations (DevOps), model operations, and data operations. He said organizations should use DevOps principles to develop Ai projects more collaboratively, getting all the stakeholders involved; and said they must design these projects with more governance, and more explainability upfront. He said AI will improve over multiple disciplines, including Model Ops, compositive AI, and generative AI. Together, this will allow CIOs and developers to create AI models faster, and these models then to evolve dynamically.

By 2023, Gartner predicts at least half of IT leaders will struggle to move their AI predictive projects past proof of concept to a production level of maturity.

  1. Hyperautomation

Business executives are demanding excellence in digital operations and this is driving a need for automation, Burke said. This manifests itself in increasing requests for speed, efficacy, and capacity, which requires intelligent automation. This has been trending for a while, but the pandemic heightened demand with the requirement for everything to be “digital first.”

 

By 2024, Garter says organizations will lower operational costs by 30 percent by combining hyperautomation technologies with redesigned operational processes.

  1. Combinatorial Innovation

These were the main themes, and Burke concluded by talking about how “these trends combine and reinforce one another to create the digital world.” CIOs should explore combining these trends to lower costs and create value, and make it a strategic priority to improve the plasticity of business models and their supporting IT technology.

 

 

uk.pcmag.com

Filed Under: Business Updates Tagged With: #jobs #design #engineer #AI #business #technology #talent #design #work #employees, AI, location independence, people centricity, resilient delivery, technology, trends tech

Google Duplex, a new AI software that talks eerily like a human!

May 14, 2018 by Julie McGrath

At Google’s biggest event of the year, CEO Sundar Pichai introduced Google Duplex, a new AI software that talks eerily like a human, and even uses realistic stammers like “um” and “ahh.”

Google Duplex is designed to make phone calls for the user, and demonstrations implied that the humans on the other end of the phone calls didn’t realize they were speaking with software, causing an uproar of ethical criticism.

Google confirmed that Duplex — which is not yet widely available — will be able to identify itself on the phone, and that “transparency” is a high priority for the future of the product.

Google introduced their newest jaw-dropping feat at the I/O conference this week: a hyper-realistic sounding chatbot that will be able to make phone calls for you.

The demonstration received both praise and skepticism, with some calling in to question the ethics of an AI that cannot easily be distinguished from a real person’s voice.

Today, a Google spokesperson confirmed in a statement to Business Insider that the creators of Duplex will “make sure the system is appropriately identified” and that they are “designing this feature with disclosure built-in.”

In a demonstration of the software, called Google Duplex, the voice used human-like stammers such as “um,” and sounded so realistic the humans on the other end of the line seemed to be completely unaware they had actually been chatting with an AI, causing many tech influencers to debate on Twitter and elsewhere whether Duplex and other chatbots should be required to identify themselves to humans.

Here’s the full statement from Google:

“We understand and value the discussion around Google Duplex — as we’ve said from the beginning, transparency in the technology is important. We are designing this feature with disclosure built-in, and we’ll make sure the system is appropriately identified. What we showed at I/O was an early technology demo, and we look forward to incorporating feedback as we develop this into a product.”

Google CEO Sundar Pichai preemptively addressed ethics concerns in a blog post that corresponded with the announcement earlier this week, saying:

“It’s clear that technology can be a positive force and improve the quality of life for billions of people around the world. But it’s equally clear that we can’t just be wide-eyed about what we create. There are very real and important questions being raised about the impact of technology and the role it will play in our lives. We know the path ahead needs to be navigated carefully and deliberately—and we feel a deep sense of responsibility to get this right.”

In addition, several Google insiders have said that the software is still in the works, and the final version may not be as realistic (or as impressive) as the demonstration.

You can watch the full Google Duplex demonstration here:

If you are interested in Software Development and want to take on a new challenge, please get in contact with one of our consultants for some free confidential advice.
You can also check out some of our other featured Jobs here now.

 

  • Business Insider

Filed Under: Latest Industry News Tagged With: AI, chatbot, duplex, google, Software Development

5 Major Tech Giants collaborate in Future of AI

October 8, 2016 by Julie McGrath

The world’s biggest technology companies are joining forces to consider the future of artificial intelligence (AI).

Amazon, Google’s DeepMind, Facebook, IBM and Microsoft will work together on issues such as privacy, safety and the collaboration between people and AI.

Dubbed the Partnership on Artificial Intelligence, it will include external experts.

One said he hoped the group would address “legitimate concerns”.

“We’ve seen a very fast development in AI over a very short period of time,” said Prof Yoshua Bengio, from the University of Montreal.

“The field brings exciting opportunities for companies and public organisations. And yet, it raises legitimate questions about the way these developments will be conducted.”

Bringing the key players together would be the “best way to ensure we all share the same values and overall objectives to serve the common good”, he added.

One notable absentee from the consortium is Apple. It has been in discussions with the group and may join the partnership “soon”, according to one member.

The group will have an equal share of corporate and non-corporate members and is in discussions with organisations such as the Association for the Advancement of Artificial Intelligence and the Allen Institute for Artificial Intelligence.

It stressed that it had no plans to “lobby government or other policy-making bodies”.

“AI has tremendous potential to improve many aspects of life, ranging from healthcare, education and manufacturing to home automation and transport and the founding members… hope to maximise this potential and ensure it benefits as many people as possible,” it said.

It will conduct research under an open licence in the following areas:

  • ethics, fairness and inclusivity
  • transparency
  • privacy and interoperability (how AI works with people)
  • trustworthiness, reliability and robustness

Microsoft’s managing director of research hailed the partnership as a “historic collaboration on AI and its influences on people and society”, while IBM’s ethics researcher Francesca Rossi said it would provide “a vital voice in the advancement of the defining technology of this century”.

Mustafa Suleyman, co-founder of Google’s artificial intelligence division, DeepMind, said he hoped the group would be able to “break down barriers for AI teams to share best practice and research ways to maximise societal benefits and tackle ethical concerns”.

And Amazon’s director of machine learning, Ralf Herbrich, said the time was ripe for such a collaboration.

“We’re in a golden age of machine learning and AI,” he said.

“As a scientific community, we are still a long way from being able to do things the way humans do things, but we’re solving unbelievably complex problems every day and making incredibly rapid progress.”

Artificial intelligence is beginning to find roles in the real world – from the basic AI used in smartphone voice assistants and web chatbots to AI agents that can take on data analysis to significant breakthroughs such as DeepMind’s victory over champion Go player Lee Sedol.

The win – in one of the world’s most complex board games – was hailed as a defining moment for AI, with experts saying it had come a decade earlier than anyone had predicted.

DeepMind now has 250 scientists at its King’s Cross headquarters, working on a variety of projects, including several tie-ins with the NHS to analyse medical records.

In a lecture at the Royal Academy of Engineering, founder Dr Demis Hassabis revealed the team was now working on creating an artificial hippocampus, an area of the brain regarded by neuroscientists as responsible for emotion, creativity, memory and other human attributes.

But as AI has developed, so have concerns about where the technology is heading.

One of the most vocal and high-profile naysayers is Tesla’s chief executive, Elon Musk, who has tweeted the technology is “potentially more dangerous than nukes [nuclear weapons]” and expressed concerns humans were “just the biological boot loader for digital super-intelligence”.

In order to combat this fear, Google are developing their own AI kill switch which will always allow humans to maintain control over AI machines.

Last year, Mr Musk set up his own non-profit AI group, OpenAI.

It is not, at this stage, part of the Partnership on AI.

If you found this article interesting, check out more similar content by visiting our latest industry news page. You can access it by following this link!

 

– Jane Wakefield

Filed Under: Latest Industry News Tagged With: AI, artificial, computers, deepmind, development, Facebook, future, google, IBM, intelligence, microsoft, robots

World’s First Driverless Race Car

September 11, 2016 by Julie McGrath

‘Driverless’ cars are being developed in every corner nowadays, but could we see the same concept applied to a Race Car?

Can a race car do without its driver? You’d think not, but a British company is aiming to prove otherwise with a new racing prototype.

It’s called the DevBot, and as its name suggests, it’s been built with the specific aim of allowing development on a race series of robotic, self-driving cars.

Roborace, the company behind the series, has created the DevBot as a prototype, in order to show what driverless racing cars can do. It plans to stage a series of races with the cars, which will take place as part of the 2016/17 Formula E Championship for manually driven electric cars.

The DevBot’s form is rather different to the finished cars’, as it incorporates a standardised, safety-compliant cabin in order that a person can ride aboard or even take control.

Roborace says this will enable engineers to gain a better understanding of the way the computers “think” as the car drives itself around a track.

The rest of the car is entirely custom-built, and features the same electric powertrain, sensors, computer “brains” and communication technology as the finished product, which is set to be revealed later this year.

Roborace says it has already undertaken secret trials of the DevBot on airfields and racing circuits around the country, during one of which the car drove itself around Silverstone’s International Circuit.

It adds that it has already received applications from “a large number of technology, motorsport, research laboratory and university teams” to take part in the series, all of whom will be given time with the car over the next six months before the race series commences.

Ten teams in total will be allowed to enter two cars each into the races, which will last one hour and take place just before each Formula E round, and on the same circuits – including the London round.

All the teams will use the same car with the same hardware beneath the skin, but the skill will be in the software engineering, as teams will be allowed to make changes to the complex programming installed in the car to try and improve its performance on the track.

Roborace says the aim of the series is to show off autonomous car technology, in order to improve their public perception, and to further the abilities of the technology through competition.

DevBot took part in its first public demonstration at the Formula E open practice sessions, which was held at Donington Park on August 24.

– Alex Robbins

Filed Under: Latest Industry News Tagged With: AI, automation, car, DevBot, Driverless, race, Roborace, technology

Incredible House-Building Robot

August 14, 2016 by Julie McGrath

A new robot builder can construct an entire house in two days – and never needs a tea break.

Hadrian X is a giant truck-mounted robot that can lay up to 1,000 bricks an hour using a 30-metre arm, meaning it can stay in a single position throughout.

Bricks are fed on to a conveyor belt which sends them along the robot’s long arm – otherwise known as a telescopic boom.

At the end of the boom is a hand which grabs and arranges the bricks, securing them with construction glue instead of cement.

It is smart enough to leave spaces in the brickwork for wiring and plumbing, and can even cut and shape bricks to size.

The robot was created by Australian firm Fastbrick Robotics, and founder Mark Pivac told Perth Now: “People have been laying bricks for about 6,000 years and ever since the industrial revolution, they have tried to automate the bricklaying process.

“We’re at a technological nexus where a few different technologies have got to the level where it’s now possible to do it, and that’s what we’ve done.”

The robot took 10 years to create, and has cost about £4.5m in research and development so far.

Mr Pivac insists he has “nothing against bricklayers”, but says he just wants to streamline the construction process.

The prototype needs no human intervention once the process begins.

Fastbrick Robotics says it will take about a year before the robot is ready to hit the market.

https://www.youtube.com/watch?v=l8Q0j3UwjnQ

– SkyNews

Filed Under: Latest Industry News Tagged With: AI, artificial, automation, building, gear, house, intelligence, robot, technology

AI Fighter Pilot wins in Combat Simulation

July 10, 2016 by Julie McGrath

An artificially intelligent fighter pilot system has defeated two attacking jets in a combat simulation.

The AI, known as Alpha, used four virtual jets to successfully defend a coastline against two attacking aircraft – and did not suffer any losses.

Alpha, which was developed by a US team, also triumphed in simulation against a retired human fighter pilot.

One military aviation expert said the results were promising.

In the simulation, both attacking jets – the blue team – had more capable weapons systems.

But Alpha’s red team was able to dispatch the enemy planes after performing evasive manoeuvres.

‘Deadly opponent’

In their paper, researchers from the University of Cincinnati and defence company Psibernetix describe Alpha as “a deadly opponent”.

Reporting on simulated assaults against retired US Air Force colonel Gene Lee, the researchers wrote: “Not only could he not score a kill against it, he was shot out of the air by the reds every time after protracted engagements.”

Alpha uses a form of artificial intelligence based on the concept of “fuzzy logic” – in which a computer considers a wide range of options before making a decision.

Because a simulated fighter jet produces so much data for interpretation, it is not always obvious which manoeuvre is most advantageous or, indeed, at what point a weapon should be fired.

Fuzzy logic systems can weigh up the significance of these individual pieces of data before making a broader decision.

The researchers’ key achievement here was to do this in real-time with computational efficiency.

“Here, you’ve got an AI system that seems to be able to deal with the air-to-air environment, which is extraordinarily dynamic, has an extraordinary number of parameters and, in the paper, more than holds its own against a skilled and capable, experienced combat pilot,” said Doug Barrie, a military aerospace analyst at think tank IISS.

“It’s like a chess master losing out to a computer.”

Ethical questions

But Mr Barrie also stated it might not be easy or appropriate to translate the system to real-world combat environments.

If such a system were ever used in a live setting and decided to attack a non-military target, the results could be dire, he said.

“The public furore about that would be immense,” he said.

However, at the very least, Mr Barrie said, Alpha had potential as a simulation tool or as a device to help develop better systems for assisting human pilots in the air.

– Chris Baraniuk

Filed Under: Latest Industry News Tagged With: AI, artificial, combat, fighter, intelligence, military, pilot, robot, simulator, Software, technology

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