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Artificial intelligence is an area which has seen rapid growth across a variety of industries in recent years not least among power industry operations and technologies companies.

Figures show that the number of new artificial intelligence roles being advertised for these companies has increased in recent months with firms across the industry looking to expand their capabilities.

The number of newly advertised roles stood at 1,471 in Q1 2021. Thats up from 861 in Q4 2020 and up from 775 in Q3 2020.

The figures are compiled by GlobalData, which tracks the number of new job postings from key companies in various sectors over time. Using textual analysis, these job advertisements are then classified thematically.

GlobalData's thematic approach to sector activity seeks to group key company information by topic to see which companies are best placed to weather the disruptions coming to their industries.

These key themes, which include artificial intelligence, are chosen to cover "any issue that keeps a CEO awake at night".

By tracking them across job advertisements it allows us to see which companies are leading the way on specific issues and which are dragging their heels - and importantly where the market is expanding and contracting.

Where are companies hiring for artificial intelligence careers in power?

Looking across key power industry operations and technologies companies tracked by GlobalData, the US is currently seeing the largest number of artificial intelligence job advertisements. Last quarter the country saw 357 advertisements - up from 253 in Q4 2020 and 328 in Q3 2020.

On a city level, Pune (India) had the most newly advertised artificial intelligence roles in Q1 2021 with 50, followed by Bengaluru, (India) with 43, and Bratislava, (Slovakia) with 26.

Where is seeing the most growth for artificial intelligence roles in power?

The biggest growth area has been in Romania - which saw six job adverts for artificial intelligence in Q4 2020, increasing to 233 in Q1 2021.

In terms of cities, firms are increasing artificial intelligence hires in Iasi - with 22 roles in the latest quarter - up from zero in the previous one.

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Are you considering the relevance of AI to your business?GlobalDatas report can help you understand the bigger picture by analyzing AI-related filing trends across the Power sector in 2021. Uncover overarching company sentiment and underlying patterns hidden in vast amounts of financial and non-financial data to get a grasp on the outlook for the technology theme and its evolution in view of major market events like COVID-19. Read the report to see how AI can help drive your business forward today.

Is AI a key part of your companys future?GlobalDatas report can help you understand the bigger picture by analyzing AI-related social media sentiment across the Power industry in 2021. Understand which aspects of AI are keeping digital thought leaders and tech giants talking on Twitter and spot trends relevant to your own uses of the technology.Read the report and elevate your AI investment strategy today.

Are you worried that your company is falling behind when it comes to AI? GlobalDatas report can help you understand the bigger picture by analyzing AI-related job trends across the Power sector in 2021. Identify and leverage the hiring patterns of Power giants to transform potential risks into opportunities when it comes to the disruptive technology. Read the report and gain a competitive edge today.

Are you looking to expand your AI-related research and innovation?GlobalDatas report can help you understand the bigger picture by analyzing AI-related intellectual property landscape across the Power industry in 2021. Pinpoint the top players, inventions, and trends to determine research and development strategies with a competitive edge. Read the report and gain a competitive edge today.

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The artificial intelligence hiring focus of power industry operations and technology companies - Power Technology

RALEIGH, N.C., Aug. 3, 2021 /PRNewswire/ -- The Robotics industry has witnessed significant growth in demand as it has become a key strategy in the implementation of Industry 4.0. The shortage of human resources in developed countries, the need to adopt labor safety standards, and the emergence of Artificial Intelligence (AI) are the influencing factors in the growth of the Robotics industry.

"From a business strategy standpoint, access to technological advancements and the ability to optimize cost through improving productivity and efficiency are key factors to improve business sales. The development of the robotics market can be attributed to the demand in end-use sectors such as automotive, defense, medical, space, and entertainment," said Vignesh Premkumar, Research Analyst at Beroe. "Despite the booming growth of robots, high initial investments, combined with high-tech research and development cost, has constrained industry growth."

The robotics market witnessed significant growth during 2017-19, primarily owing to the industrial, automotive, defense, and medical sectors. The market is expected to grow from $43 billion in 2018 to $70.84 billion in 2021 at a CAGR of 10.5 percent. The Asia-Pacific region tops in overall demand for robotics at 39 percent, followed by Europe at 25 percent, and the Americas at 24 percent. Major players in the robotic industry are involved in the production of high-performance and highly competitive robots. Optimization of design enables manufacturers to offer competitive prices and increase market share.

The factors pushing demand for robotics are demand from electronics, electric vehicle market, and automotive industries in Asia, automotive and manufacturing industries in Europe, and the demand for automation in the Americas due to these industries relying on newer technologies in the race toward Industry 4.0.

The different types of robots available in the market include articulated, cylindrical robots, SCARA, and Cartesian robots. Among industrial robots, the highest share is occupied by articulated robots. They have high payload capacity and working efficiency. They are currently used in many operations such as welding, assembly, material handling, packaging, and casing. Robotics finds greater applications in automotive, electronics defense, aerospace, metals, chemicals, and food industries. In these industries, customized robots have already been deployed as per their requirement. The Automotive industry accounts for 41 percent of industrial demand, followed by electrical and electronics at 20 percent, the metal industry at 13 percent, and chemical, rubber, and plastics industries at 9 percent. Robots are now widely used in the manufacturing sector where they play an important role in assembling, welding, and material handling of automotive parts with the objective of reducing labor power.

"The Robotics market is witnessing phenomenal growth. More companies are developing partnerships with other players that offer the Internet of Things and Artificial Intelligence. Moreover, the competition among manufacturers will further bolster the adoption of robotics," said Vignesh Premkumar, Research Analyst at Beroe. "In all this, artificial intelligence is expected to play a critical role. As with anything, the robotics market isn't perfect. There are gaps that restrict its growth and adoption rate. AI can play a game-changer in addressing the key constraints and filling the gaps."

For more such market insights, procurement intelligence, supplier analysis, price, and cost benchmarking, please log on to Beroe LiVE.Ai: https://www.beroeinc.com/beroe-live-ai/

About Beroe Inc

Beroe is the world's leading provider of procurement intelligence and supplier compliance solutions. We provide critical market information and analysis that enables companies to make smart sourcing decisions leading to lower costs, greater profits, and reduced risk. Beroe has been providing these services for more than 15 years and currently works with more than 10,000 companies worldwide, including 400 of the Fortune 500 companies. For more information about Beroe Inc., please visit https://www.beroeinc.com/.

Media Contact: Debobrata Hembram [emailprotected]

SOURCE Beroe Inc.

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Artificial Intelligence and Automation to Lead Robotics Market Growth, says Beroe Inc - PRNewswire

Yes, robots could be used to write press releases, but this isn't the future of the industry.

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August1, 20215 min read

Opinions expressed by Entrepreneur contributors are their own.

While the human touch will always prevail, you should know that there are many ways in which we can all utilize artificial intelligence (AI) wisely in order to run more efficient and effective PR campaigns.

As technology continues to evolve, many companies are turning to artificial intelligence as a means to help streamline repetitive processes and find efficiencies where they can.

The public relations sector is no different, with PR firms looking for ways to use artificial intelligence for certain aspects of the business that can benefit from AI functions.

The idea of using AI can be worrisome for people working in PR as they are concerned about their jobs being replaced by programmable technology, but that is not the case.

Related:How to Write a Press Release Reporters Will Actually Read

Public relations firms can benefit from the use of AI, particularly when it comes to the sheer volume of information they need to sort through.

PR firms need to always be on top of the latest trends and news, which can be a tedious task for employees with information getting missed due to the sheer volume of information available or getting bogged down by irrelevant material.

By using artificial intelligence, firms are able to search through all of the information available across any digital platform at lightning speed and pull out any content that is relevant to their clients by programming the bot to search out specific words or phrases. This will ensure that only the content that is important gets flagged to the PR firm.

AI can also be used to monitor media coverage of competitive products and clients competitors to ensure that their clients are reacting as needed or getting their fair share of media coverage with their own campaign. AI bots can be used to track media impressions for a PR firmss own clients as well as their clients competition.

Not only can artificial intelligence be used to track media coverage for your clients by scanning news coverage, but it can also track any trends in topics that the PR firm may want to get ahead of. With its automated process of scanning information, artificial intelligence will be able to determine the best time of day for press releases, social media posts and other avenues of engagement with their target audience, based on when people are interacting with the information and what platform or means of communication receives the most interaction. This will provide data that the PR firm can use going forward to ensure they are reaching their target customer in a way that makes sense. The data captured can help PR professionals with recommendations as far as what channels to push their message through, how the content should be built and even what type of content to include.

Related:8 Ways to Prepare forPublic Relations

Artificial intelligence has many more uses with public relations, other than information scanning and data sorting. It can be used to write up preliminary press releases and even build websites by programming the bot using predetermined algorithms for the gathering and compilation of data. Through data analysis, AI can determine the most relevant information to include in a press release, based on audience interaction and tailor future press releases to capture and keep the audiences attention. The benefits of AI in PR are enormous, with new uses being discovered all the time as the technology continues to advance and evolve based on the industrys needs.

One of the greatest fears with automation and the use of artificial intelligence in any company and industry is of course the fear that this will put people out of jobs. While artificial intelligence may seem like it would eliminate the employees, that isnt the case in the pubic relations industry.

This industry still very much relies on the human touch for face-to-face client interactions, social networking and in providing insights and recommendations on how to use the data captured through AI for the best outcome for the client. In fact, artificial intelligence will enable public relations professionals to focus on tasks that cant be automated such as brainstorming creative ideas, determining what steps they want to take for their clients and working closely with the client, as opposed to performing repetitive tasks that currently take away from client interactions.

Artificial intelligence isnt something to shy away from in PR. It is a tool to embrace to provide efficiencies in data gathering so that employees are able to focus on their clients and the creativity of their industry.

The future is all about technology, so use it wisely to help grow your clients' brands.

Related:What is Authentic Marketing, and How Is It Different From Public Relations?

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How to Leverage Artificial Intelligence in Public Relations - Entrepreneur

ALISO VIEJO, Calif.--(BUSINESS WIRE)--BrainChip Holdings Ltd (ASX: BRN), (OTCQX: BRCHF), a leading provider of ultra-low power high performance artificial intelligence technology, today announced that Rob Telson, VP Worldwide Sales and Marketing, will be a featured presenter at the AI Hardware Summit at 1:25 p.m. PDT, September 13th. This hybrid event will be in-person and virtual with the BrainChip session streamed live. The company will also have an in-person demo booth at the Computer History Museum in Mountain View, California on September 14-15.

Telson will present Intelligent AI Everywhere, which will address how attendees can easily apply efficient AI in edge devices for many applications by implementing Akida IP into a system on a chip (SOC) or as standalone silicon. BrainChips Akida neural processor unit brings intelligent AI to the Edge everywhere, leveraging advanced neuromorphic computing as the engine to solve critical problems of privacy, security, latency and low power requirements with key features, such as one-shot learning and computing on the device with no dependency on the cloud. The presentation will also feature real-life examples of on-chip and on-device functionality. Demonstrations of Akidas abilities will also be on display at the BrainChip booth throughout the summit.

Sensors at the edge require real-time computation and managing both ultra-low power and latency requirements with traditional machine learning is extremely difficult when it comes to empowering smart intelligent edge devices, said Telson. I look forward to sharing with those attending AI Hardware Summit both in-person and virtually how BrainChip is delivering on next-generation demands by achieving efficient, effective and easy AI functionality everywhere.

BrainChips Akida brings artificial intelligence to the edge in a way that existing technologies are not capable. The solution is high-performance, small, ultra-low power and enables a wide array of edge capabilities. The Akida (NSoC) and intellectual property, can be used in applications including Smart Home, Smart Health, Smart City and Smart Transportation. These applications include but are not limited to home automation and remote controls, industrial IoT, robotics, security cameras, sensors, unmanned aircraft, autonomous vehicles, medical instruments, object detection, sound detection, odor and taste detection, gesture control and cybersecurity.

AI Hardware Summits mission is to help those who are accelerating AI workloads in the cloud and at the edge. With a theme of systems-level AI acceleration, this years event is lifting the hood on how to make AI fast, efficient and affordable. The three-day hybrid event features a virtual component September 13-15 with in-person attendance September 14 and 15. Additional information about AI Hardware Summit is available at https://aihardwaresummit.com

About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF)

BrainChip is a global technology company that is producing a groundbreaking neuromorphic processor that brings artificial intelligence to the edge in a way that is beyond the capabilities of other products. The chip is high performance, small, ultra-low power and enables a wide array of edge capabilities that include on-chip training, learning and inference. The event-based neural network processor is inspired by the spiking nature of the human brain and is implemented in an industry standard digital process. By mimicking brain processing BrainChip has pioneered a processing architecture, called Akida, which is both scalable and flexible to address the requirements in edge devices. At the edge, sensor inputs are analyzed at the point of acquisition rather than through transmission via the cloud to a data center. Akida is designed to provide a complete ultra-low power and fast AI Edge Network for vision, audio, olfactory and smart transducer applications. The reduction in system latency provides faster response and a more power efficient system that can reduce the large carbon footprint of data centers.

Additional information is available at https://www.brainchipinc.com

Follow BrainChip on Twitter: https://www.twitter.com/BrainChip_inc Follow BrainChip on LinkedIn: https://www.linkedin.com/company/7792006

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BrainChip Demonstrates that Intelligent AI is Everywhere at AI Hardware Summit 2021 - Business Wire

Before innovating any product or solution, it is essential to understand the pain points or challenges of the audience. Conversations with people in the audience help towards that goal, and the Samsung SDS team actively seeks them out to learn from them. Often, the challenge becomes clearer only when one understands the practical daily life of the users.

Patrick Bangert is the Vice President of Artificial Intelligence at Samsung SDS, America. He mentions that once, he was asked to construct a damage forecasting model for a certain kind of pump to lower maintenance costs. At that time, he lacked experience and was asked to do a three-day internship with the maintenance crew to find out. They took him along, and he performed the work with them; all the while experiencing what they go through. In the end, he had a clear picture of where the problem lay and then could solve it much more easily.

Patrick started his career as an Assistant Professor of mathematics at a new university that had only existed one year before he started working there. There was no curriculum set up for the courses that he was supposed to teach. So he started by putting together a coherent end-to-end program and then explaining it to a large audience of undergraduates. It was a difficult lesson that forced him to explain things in simple terms. The dual skill of making a complex subject accessible in simple terms and breaking it down into digestible pieces are crucial to leadership and inevitable sales and marketing function as a leader.

His challenges did not end there. Patrick explains how at the beginning of his journey, he did not know where to begin and lacked a clear vision of where he wanted to end up.

With hindsight, I recognize that having a vision of where you want to be in your own life at an older age is a boon because it acts as a guiding principle in decision-making.

Patrick recalls several people guiding him and offering him suggestions to do this and not do that. He followed the advice most of the time because he respected them but did not necessarily understand why, except for short-term tactical reasons. Naturally, this led him to make a few costly mistakes, the worst being choosing the wrong business partner in founding his startup company. He did not know how to perform proper due diligence and did not do it. His partner was unable to fulfill his responsibilities, creating a profoundly serious problem for the business. Subsequently, he was forced to change his role and fulfill both leadership functions at the same time. For him, this was an existential challenge, but he learned a great deal.

Currently, under his leadership, Samsung SDS is leveraging disruptive technologies to give the company a competitive edge in the market. These technologies make it easier and faster to innovate and enable several innovations themselves. Recently, Patrick has been working on using AI to diagnose diseases based on medical images. He says that creating these models is very effortful, particularly annotating the images to generate the dataset; on which to train the models. Using AI to help the annotators, the company could lower the labor by over 80%, making it significantly faster and cheaper to make models. The company is calling this technology AI2 since it is using AI to create more AI.

If we categorize human history by its most influential tool into stone, copper, bronze, and iron ages, then the current time has sometimes been called the information age. While the information itself is an asset, it is only really the conclusion of an analysis that adds value. So, currently, we live in the analytics age with a ubiquitous impact on further innovation, he said.

According to Patrick, there have been many changes to human society in recent centuries. The current AI-driven transition is the so-called fourth industrial revolution. There is some fear attached to the inherent change, as in any transition can make some jobs less needful, but other new job functions usually take their place. There is less and less need, at a grand scale, for manual labor. In the industry overall, the transition towards using AI is still in its early days. AI is mature only in the retail industry and in some isolated applications elsewhere. There is a long way to go to adopt the analytics we have. Those who have developed the analytics must work on making them better. The primary directions are AI ethics, explainability, and the challenge of small data.

As a large IT services company, Samsung SDS is the chief player in this transition and the importance of analytics grows both internally and externally. The company will keep developing new tools and models to serve the needs of the global business community. At present, it is actively focusing on the challenge of small data: the fact that often the dataset has a limited size and cannot be increased readily, so AI must make do. A host of new algorithms are needed to make good quality models once the standard quality improvement mechanismget more databecomes impossible.

As a Ph.D. mathematician, Patrick started to work in academia as a Professor in Germany and proceeded to found a startup in the field of machine learning as applied to the oil and gas and chemicals sector. During this time, he led projects all over the world to do predictive maintenance and process optimization for almost all the major oil companies. Having grown that company to maturity, he was hired as the VP for AI at Samsung SDS, the IT company of Samsung Group.

At Samsung SDS, he leads three teams. AI Engineering makes software tools for data scientists, primarily in speeding up the process through distributed training and AutoML. AI Sciences does the model building within Samsung Group and for outside customers. The third team does the sales and marketing for the other two teams. Besides the companys regular work in natural language processing, computer vision, and time-series modeling, it has recently shifted its focus to medical imaging.

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Patrick Bangert- Leading the Artificial Intelligence Industry with Disruptive Innovation - Analytics Insight