The post ABBYY’s 2nd Annual Intelligent Automation Month Showcases AI’s Power to Speed Up Business appeared first on AiThority.

• New senior hires come on the heels of significant momentum for the business, having raised $12 billion from top tier equity and debt investors, announcing a London office and European expansion efforts.

• Chen Goldberg, Senior Vice President of Engineering, hails from Google where she played an instrumental role in building, deploying, and managing the innovative Kubernetes platforms.

• Sachin Jain, Chief Operating Officer, comes from Oracle Cloud where he led AI infrastructure and has spent more than 20 years in senior roles at Google Cloud and Amazon.

• This announcement follows recent additions to the leadership bench with top-tier talent including Chief Accounting Officer Jeff Baker from Rivian; Chief Product Officer Chetan Kapoor from Amazon Web Services; and Chief Financial Officer Nitin Agrawal from Google Cloud.

CoreWeave, the AI Hyperscaler, today announced the appointment of Chen Goldberg as Senior Vice President of Engineering, as well as Sachin Jain as its new Chief Operating Officer.

Goldberg and Jain are technology veterans with long, accomplished histories at the largest technology companies in the world.

Also Read: Humanoid Robots And Their Potential Impact On the Future of Work

Goldberg has more than 25 years of expertise leading global engineering teams, product R&D initiatives, and high-profile customer engagements with Fortune 500 enterprises. She joins CoreWeave from Google, where she worked across several roles at Google Cloud, most recently as General Manager & VP of Engineering, leading the Kubernetes and Serverless team and product portfolio. She will join the CoreWeave executive team to lead and grow engineering functions, as well as accelerate CoreWeave’s world-class product development and offerings.

Jain most recently served as Senior Vice President at Oracle Cloud, where he led the company’s AI infrastructure, data center capacity and infrastructure product teams. Prior to that, Jain held roles as Vice President at Google Cloud and Amazon. At Google, he managed the capacity planning and optimization and supply chain engineering teams, and played a central role in driving Google Cloud to profitability. At Amazon, he held leadership roles across pricing, fees, marketplace technologies, AWS  and supply chain teams – setting the strategic direction for top and bottom line growth across various businesses.

“Both Chen and Sachin are exciting and critical additions to the CoreWeave team,” said Mike Intrator, co-founder and CEO of CoreWeave. “Their vision for the future of the AI cloud is strongly aligned with what we’re building at CoreWeave – in terms of a customer-centered development philosophy and the power of automation – and their expertise is unmatched. Their contributions to our platform will take CoreWeave’s industry-leading products and operations to the next level.”

“I’ve been watching the incredible growth and customer success that CoreWeave has accomplished in such a short amount of time, and am thrilled to join this team with tremendous technical excellence,” said Chen Goldberg. “CoreWeave is light years ahead and delivering what others cannot – its modern infrastructure with unbeatable performance sets the company apart. I look forward to building the next generation of cutting-edge cloud technology alongside some of the best in the business.”

“I have been amazed and inspired by the phenomenal team at CoreWeave and what they have accomplished,” said Sachin Jain. “The fact that some of the largest enterprise companies and fast growing AI labs are choosing CoreWeave as their cloud partner is a testament to their unparalleled innovations and relentless focus on customer success. I am excited by the opportunities ahead of us and am eagerly looking forward to being part of this incredible journey.”

Also Read: Humanoid Robots And Their Potential Impact On the Future of Work

Today’s news comes on the heels of significant momentum. Between May 2023 to May 2024, CoreWeave raised a total of $12 billion from top-tier equity and debt investors. Recently, the company also announced its new London office and subsequent European expansion – creating over 120 new jobs across engineering, operations, finance and go-to-market, and a commitment to invest a total of $3.5 billion across Europe. The company also continues to grow its leadership bench with top-tier talent. Last week, CoreWeave announced its new Chief Accounting Officer, Jeff Baker, who joined from Rivian and played an essential role in its landmark initial public offering. In June, CoreWeave announced Chief Product Officer, Chetan Kapoor, who joined from Amazon Web Services where he was part of the Compute leadership team and managed the Hardware Accelerated Compute business. Earlier this year, the company welcomed Nitin Agrawal as Chief Financial Officer, who most recently served as VP of Finance for Google Cloud. With these additions, CoreWeave is fueling its next phase of growth and pushing the frontier of AI infrastructure forward. In 2023, CoreWeave more than quadrupled its data center presence, and anticipates doubling that figure globally by the end of 2024.

Don’t miss this out: More than 500 AI Models Run Optimized on Intel Core Ultra Processors

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

The post CoreWeave Announces Key Senior Hires to Fuel Growth Plans appeared first on AiThority.

MuukTest, a leading provider of AI-powered test automation services, announced Amikoo, a breakthrough AI-based agent poised to transform software testing. Using AI, Amikoo analyzes an application, creates test designs, and automates entire test cases instantly, shortening what typically can take teams months of effort into just a matter of hours.

Also Listen: AI Inspired Series by AiThority.com: Featuring Bradley Jenkins, Intel’s EMEA lead for AI PC & ISV strategies

“Creating an automated regression test suite typically demands at least two types of skills (QA and Test Automation experts), leading to long timelines (8+ months for decent progress) and significant costs ($250,000+ for small teams, millions for larger ones),” said Ivan Barajas Vargas, Co-founder and CEO. “Amikoo solves this challenge by seamlessly exploring and understanding a software application, then designing and automating a regression test suite in hours, reducing the time to get complete test coverage from several months or longer to just a few hours.”

“Our experience with MuukTest was already outstanding, and with Amikoo, we anticipate an even faster test design and automation process,” said Ernie Hudson, Senior Director Product and Technology at Countertools.

Also Read: Humanoid Robots And Their Potential Impact On the Future of Work

By completely automating test creation, Amikoo leverages cutting-edge AI technology to quickly analyze applications, design detailed test cases from scratch, and automate them in Playwright or Selenium, popular open-source test automation frameworks. By simply inputting a URL, Amikoo’s AI agent evaluates your application and generates initial test cases within minutes. This feature not only saves valuable time but also ensures comprehensive coverage in hours, significantly surpassing traditional test automation, which can take months or years.

Unlike other solutions, MuukTest’s AI agents produce practical and usable test cases similar to those designed by human testers. The test cases include natural language test design explanations, ensuring clarity and ease of use. This breakthrough in test automation eliminates the initial manual effort and time-consuming processes typically associated with test design and automation, setting a new standard in software quality assurance.

“Our experience with MuukTest was already outstanding, and with Amikoo, we anticipate an even faster test design and automation process,” said Ernie Hudson, Senior Director Product and Technology at Countertools.

“For test automation, whatever tool is used needs to be easy and fast to set up and maintain,” said James Young, Program Manager at NCDEQ. “Spending time fixing broken tests due to minor changes, like an alteration in a menu item’s text, is akin to the saying, ‘too much squeeze for the juice.’ Amikoo shows a lot of promise. We ran Amikoo on our own site, and quickly, it was able to auto-create tests with no human interaction.”

Don’t miss this out: More than 500 AI Models Run Optimized on Intel Core Ultra Processors

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

The post MuukTest Unveils Amikoo: An AI Agent for Near-Instant Software Test Design and Automation appeared first on AiThority.

The new AI-driven analytics tools by LambdaTest provide QA teams with deeper insights, faster issue resolution, and improved software quality and performance

LambdaTest, a leading cloud-based unified testing platform, announces the launch of its innovative analytics features empowering QA teams with deeper insights and enhanced control over test automation. The new features leverage AI and ML to optimize software quality and performance.

Also Listen: AI Inspired Series by AiThority.com: Featuring Bradley Jenkins, Intel’s EMEA lead for AI PC & ISV strategies

“We are thrilled to introduce these cutting-edge analytics tools to our platform,” said Mayank Bhola, Co-Founder & Head of Product, LambdaTest. “Our goal is to equip QA teams with the necessary insights to swiftly identify and resolve issues, ensuring higher software quality and improved performance. These features will revolutionize how our users approach test automation.”

Also Read: Humanoid Robots And Their Potential Impact On the Future of Work

Key features include:

• AI Copilot Dashboard simplifies data analysis by allowing users to easily interact with data using natural language queries and receive actionable insights. It offers predictive analytics and intelligent recommendations, helping teams make data-driven decisions efficiently.
• AI-powered Flaky Test Analytics shares invaluable insights into test suite behavior, enabling teams to reduce test execution time and improve software quality significantly with decreasing the release cycle time. By identifying and prioritizing flaky tests based on their impact, teams can optimize debugging efforts, accelerate testing cycles, and increase test reliability.
• LambdaTest’s Command Logs Analytics provides granular insights into test execution, enabling QA teams to pinpoint issues and optimize test scripts without stale elements. By analyzing command-level data, users can identify performance bottlenecks, troubleshoot test failures effectively, and proactively address potential problems for each session run.
• Test Case Insights simplifies the analysis of test automation execution on LambdaTest at each step of the test session. These insights help in test case health analysis, displaying success versus failure rates, and analyzing test cases by group to identify frequently failing tests.
• Allure Test Insights with HyperExecute provides a time-series analysis of test execution results using Allure reports. Users can track test status, duration, and suite details, assess suite health, analyze test status ratios, and evaluate the average test durations of the test suites with multiple custom filter options.

These features are available globally to all LambdaTest users, addressing common test automation challenges and providing detailed insights into test cases and execution trends.

Don’t miss this out: More than 500 AI Models Run Optimized on Intel Core Ultra Processors

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

The post LambdaTest Unveils AI-Driven Analytics Tools to Enhance Test Automation Insights and Performance appeared first on AiThority.

The post Scamnetic Launches AI-Based Scam-Detection Solution appeared first on AiThority.

The post Apromore Receives $15 Million in Series B-1 Round to Accelerate AI-Driven Process Mining appeared first on AiThority.

Figure, an AI robotics company, unveils its second-generation humanoid, Figure 02, and introduces the highest performing humanoid robot to market. Figure’s robot combines the dexterity of the human form with advanced AI to perform a wide range of tasks across commercial applications and, in the near future, the home.

Also Read: Building a Content Supply Chain in the Era of Generative AI

Figure’s best-in-class engineering and design teams completed a ground-up hardware and software redesign to achieve Figure 02. Technical advancements were made on critical technologies including AI, computer vision, batteries, electronics, sensors, and actuators.

A few key features include:

• Speech-to-speech: Figure 02 is capable of speech-to-speech conversation with humans through onboard mics and speakers connected to custom AI models trained in partnership with OpenAI.
  
  
• Onboard VLM: Figure 02 has an onboard vision language model that enables fast common-sense visual reasoning from robot cameras.
  
  
• Battery: 2.25 KWh custom battery pack in the robot torso delivers 50%+ more energy to maximize robot runtime.
  
  
• Integrated wiring: integrated cabling for power and compute communication allows for concealed wires, higher reliability, and tighter packaging.
  
  
• Cameras: Figure 02 perceives and understands the physical world through its AI-driven vision system powered by 6 onboard RGB cameras.
  
  
• 4th generation hands: the latest human-scale hands are equipped with 16 degrees of freedom and human-equivalent strength which enables a wide range of human-like tasks.
  
  
• CPU/GPU: Figure 02 has 3x the computation and AI inference available on-board compared to the previous generation. This enables real-world AI tasks to be performed fully autonomously.

Figure 02 recently tested these new capabilities at BMW Manufacturing, where it performed AI data collection and use case training.

Also Read: AI and Big Data Governance: Challenges and Top Benefits

In addition to Figure’s partnership with BMW Manufacturing, the company has announced several significant achievements since being founded in 2022, including a recent Series B raise of $675M and a collaboration agreement with OpenAI.

Figure’s goal is to create robots that will not only enhance productivity and efficiency but also improve the quality of life for humans. The advanced capabilities of Figure 02 bring the company one step closer to achieving that vision.

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

The post Figure Unveils Figure 02, Its Second-Generation Humanoid, Setting New Standards in AI and Robotics appeared first on AiThority.

Seeq, a leader in industrial analytics, AI, and monitoring, announced today it has closed a $50 million Series D funding round led by leading global investment firm Sixth Street Growth, with participation from existing investors including Insight Partners, Altira Group, Second Avenue Partners, and Saudi Aramco Energy Ventures. This round brings Seeq’s total funding to approximately $165 million. Nari Ansari, Managing Director at Sixth Street Growth, will join Seeq’s Board of Directors.

Also Read: AI Inspired Series by AiThority.com: Featuring Bradley Jenkins, Intel’s EMEA lead for AI PC & ISV strategies

Founded in 2013, Seeq serves hundreds of customers in energy, chemicals, pharmaceuticals, utilities, mining and materials, and other industrial sectors in 36 countries.

“Seeq has become the industry leader in industrial analytics through continuous, customer-inspired innovation, including its newest product, Seeq Vantage for Industrial Enterprise Monitoring,” said Dr. Lisa Graham, CEO at Seeq. “This investment bolsters Seeq’s ability to support our customers’ critical industry needs. We are excited to continue our growth with a stronger balance sheet and partnership with Sixth Street.”

“Seeq is uniquely positioned to build the next generation of technologies, especially AI, to optimize manufacturing and operational processes across multiple industries,” said Ansari. “Seeq brings together a company’s disparate time-series operational data sources with other structured and unstructured data to enable unique insights into understanding both the best and most challenging aspects of their operations.”

“Every company wants to identify key improvements through use cases like golden batch, emission reduction, energy utilization, asset optimization, and predictive maintenance,” added Claire Zhang and Chris Perron, Vice Presidents at Sixth Street Growth. “We are confident Seeq will continue to transform the way organizations unlock the power of their people and data to drive consistent, sustainable business results.”

Also Read: Extreme Networks and Intel Join Forces to Drive AI-Centric Product Innovation

“Seeq enables us to make data-driven decisions across many use cases that have delivered fast, quantifiable, real value,” said Dr. Sami Bahroun, Head of Industrial Data Science and Advanced Automation at Syensqo, formerly Solvay. “The new GenAI, advanced machine learning, and industrial monitoring capabilities fulfill unmet needs in addressing today’s workforce upskilling and operational challenges. We look forward to continuing to accelerate our digital transformation efforts and gain more value across the enterprise with Seeq.”

Also Read: More than 500 AI Models Run Optimized on Intel Core Ultra Processors

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

The post Seeq Announces $50 million Series D Funding Round Led by Sixth Street Growth appeared first on AiThority.

The humanoid robot market, valued at $1.8 billion in 2023, is set to surge past $13 billion within the next five years. This growth is driven by breakthroughs in AI and the increasing incorporation of human-like features. Notably, Tesla’s Optimus robot, designed to tackle “dangerous, repetitive, and boring tasks,” underscores the escalating interest and investment in this field. Elon Musk even predicts that the market value of Tesla’s humanoid robots may eventually exceed that of its electric vehicles.

Amid this growing market, the partnership between OpenAI and the robotic startup Figure represents a significant leap forward. With robust venture capital backing, Figure aims to integrate humanoid robots into both professional and personal environments, bringing the vision of human-like robots closer to reality.

“Robotics are beginning to cross that line from absolutely primitive motion to motion that resembles animal or human behavior.” ~J. J. Abrams

Despite their potential, humanoid robots face considerable implementation challenges. Unlike traditional robots, which are engineered for specific tasks, humanoid robots must achieve versatile and reliable movements, which involves intricate engineering. Advances in AI, particularly in computer vision and natural language processing, are crucial in overcoming these obstacles.

Once relegated to science fiction, humanoid robots are on the edge of transforming the workplace. These advanced machines, designed to replicate human movements and interactions, promise to reshape work environments and users’ engagement with technology.

Applications of Humanoid Robots Across Industries

Education and Research

Humanoid robots can be used in education in tailoring learning. This implies acting as interactive tutors that will use customized lessons to incorporate the students and adjust accordingly. In research, these robots have contributed a great deal in the understanding of human behavior, cognition, and social interaction. Imitating human motion and expressions makes it easier to make useful conclusions about human psychology and social dynamics.

Healthcare and Rehabilitation

There is huge potential for humanoid robots in healthcare: they can support caregivers in patient care, become companions for the elderly, or even support people with disabilities in daily tasks. Such robots can be equipped with advanced sensors and dexterity to make them capable of supporting delicate procedures, such as assisting surgeons in an operation or carrying out physical therapy with a patient. They may also take care of checking vital signs, alert patients to take medication, and help in telemedicine consultations, therefore supporting remote healthcare services.

Entertainment and Social Interaction

Other applications of humanoid robots include the entertainment sector. The robots can be used to create complex dance routines, interactive performances, or even film acting in movie and show productions. Further, they act as companions to man, providing both emotional support and social interaction. With their unmatched sense of understanding and response to human emotions, they offer companionship in a meaningful sense in every possible setting.

Customer Service and Hospitality

Humanoid robots are making a difference in customer service and hospitality. They act as ambassadors and guides in shopping malls, hotels, and airports. Typically, they are programmed to make announcements, provide recommendations, and help customers in need. Equally important is handling routine tasks like checking in, room service, or at the concierge desk, freeing human personnel for more complex interactions. The ability of these robots to understand languages and gestures makes them superb at bridging communication gaps and meeting the diversified needs of different customers.

Manufacturing and Industrial Automation

In manufacturing, humanoid robots offer new ways of automation. They help in repetitive, physically burdensome tasks such as assembly, picking and packing, and quality control. Their advanced sensors and machine learning capabilities help them work with precision in dynamic environments. The integration results in higher productivity, lower costs, and improved safety for workers.

Human-Robot Collaboration and Interaction

Military Robots: The US Army deploys the RoMan robot to detect and overcome obstacles in its way, which can include improvised explosive devices. RoMan uses 3D sensor data for the identification of potential threats and obstacles. It is fitted with mantis-like arms developed by NASA’s Jet Propulsion Laboratory and powered by deep learning algorithms.

Manufacturing Robots: This means that robots have come back to their roots in manufacturing, a great deal more advanced than the early models used by General Motors back in 1962. Symbio Robotics supplies its robots to leading car manufacturers like Ford and Toyota, which are fielded for much more than just welding and spray painting. It includes component installation, part picking, system testing, fault detection, and final assembly. This has also been the most challenging phase of manufacturing, being complex and needing tight control; recent advances in robotic dexterity have helped here too.

Kitchen Robots: Fast-food chains are rapidly implementing automation in an effort to raise the speed of service while reducing costs. Miso Robotics has developed a kitchen robot that Caliburger and Walmart have tested, as well as at Dodger Stadium, called Flippy, that assists human chefs by flipping burgers and frying chicken. It can also run continuously for 100,000 hours.

Healthcare Robots: Moxie is a cobot from Diligent Robots that supports non-clinical tasks, such as deliveries to the hospital, restocking, and collection of samples. Moxie integrates with electronic healthcare records to be proactive, leaving human staff to focus on providing care and compassion to patients.

Agricultural Robots: The robots do hazardous or tedious work in agriculture. Independent flying robots plant seeds, spray fertilizers and pesticides, monitor for invasive species. Burro, a US-based startup, is working on “people-scale” collaborative robots that use computer vision and GPS to assist agricultural workers. The agricultural robotics market will reach up to $11.58 billion by 2025.

Warehouse Robots: Amazon’s warehouse robots show how humans and machines can work together. Known as robotic pick assistants, the machines bring items to human pickers to package and label, toting along entire shelving units without bumping into anything. A new model, called “Bert,” that’s being tested will roam the factory floor more freely. Since putting in the robots in 2012, Amazon has created more than a million human jobs.

Top Examples of Humanoid Robots Used 

#1 ARMAR-6 (Karlsruhe Institute of Technology)

Developed by researchers at the Karlsruhe Institute of Technology in Germany, ARMAR-6 is a humanoid robot designed for industrial applications. It can use tools such as drills and hammers and is equipped with AI technology to learn how to grasp objects and hand them to human colleagues. ARMAR-6 can also perform maintenance tasks like wiping surfaces and can request assistance when necessary.

#2 Digit (Agility Robotics)

Digit, a humanoid robot from Agility Robotics, is designed to perform tasks such as unloading trailers and moving packages. It features fully functional limbs that enable it to crouch and squat to pick up objects, adjusting its center of gravity based on size and weight. Surface plane-reading sensors help Digit find the most efficient path and avoid obstacles. In 2019, Agility partnered with Ford to test autonomous package delivery. In 2022, the company raised $150 million from Amazon and other investors to facilitate Digit’s integration into the workforce.

#3 Jiajia (University of Science and Technology of China)

Developed by researchers at the University of Science and Technology of China, Jiajia is the first humanoid robot from China. Researchers spent three years creating Jiajia. Chen Xiaoping, the lead developer, announced during Jiajia’s 2016 unveiling that future developments would include the ability to cry and laugh. Jiajia’s human-like appearance was modeled after five USTC students.

#4 NAO (Softbank Robotics)

Softbank Robotics’ first humanoid robot, NAO, serves as an assistant across various industries, including healthcare and education. Standing 2 feet tall, NAO is equipped with two 2D cameras for object recognition, four directional microphones and speakers, and seven touch sensors to interact effectively with people and its environment. Capable of speaking and conversing in 20 languages, NAO aids in creating content, teaching programming in classrooms, and serving as an assistant and patient service representative in healthcare settings.

Differences Between Humanoids and Traditional Robots

Manufacturers globally have invested billions in traditional industrial robots, including Cartesian, SCARA, and six-axis machines. Transitioning to humanoid robots will be gradual rather than immediate.

Traditional robots excel in navigation and transport tasks, whereas humanoids provide a broader range of functions requiring complex manipulation and interaction in human-centered environments. Humanoids can perform tasks independently and bring adaptability and intuitive operation due to their human-like form.

Despite promising pilot projects, widescale deployment of humanoids in assembly plants is expected within three to five years. Labor shortages have spurred interest in humanoid technology. Joe Liu, managing director at Accenture, invested in Sanctuary AI, a developer of a general-purpose humanoid robot called Phoenix, which envisions humanoids working alongside AMRs and cobots in factories. Humanoids will automate tasks that traditional robots cannot, complementing and collaborating with human workers.

Also Read: Generative AI in Healthcare: Key Drivers and Barriers to Innovation

How AI Enhances Humanoid Robots

AI integration, particularly through advanced language and vision models, significantly enhances humanoid robots’ capabilities. By leveraging AI-powered reasoning and planning algorithms, these robots can interpret and respond to complex commands and scenarios, mimicking human-like behavior.

For instance, a humanoid robot’s ability to understand natural language commands, such as “I’m hungry,” and respond by offering food demonstrates its reasoning and inference capabilities enabled by AI. While current models may not achieve full artificial general intelligence, they represent significant progress toward more sophisticated reasoning and decision-making.

AI models like GPT-5 and advanced vision systems contribute to the multi-modality of humanoid robots. These models enable robots to perceive and interact with their environment more effectively. The fusion of language understanding, visual perception, and motor skills enhances the versatility and adaptability of humanoid robots in various workplace scenarios.

Also Read: Generative AI and Modern Advertising: Things to Keep in Mind

Future Trends and Developments in Humanoid Robotics for the Workplace

Advancements in Artificial Intelligence and Machine Learning

Artificial Intelligence (AI) is driving the future of humanoid robotics in the workplace. Expect substantial advancements in AI algorithms that enhance robots’ abilities to understand natural language, recognize facial expressions, and learn from interactions. Machine learning will allow robots to autonomously adapt to new tasks and environments, continually improving their performance and efficiency.

Enhanced Human-Robot Interaction

Future developments will focus on refining Human-Robot Interaction (HRI) to make workplace robots more intuitive and effective. Innovations will improve robots’ ability to interpret and respond to human gestures, voice commands, and facial expressions. This will facilitate more natural and seamless interactions between robots and human colleagues, enhancing workplace productivity and collaboration.

Expanding Applications Across Industries

Humanoid robots are set to transform various workplace environments:

• Healthcare: Robots will assist in patient care, rehabilitation, and provide companionship in hospitals and eldercare facilities, improving both patient outcomes and staff efficiency.
• Retail and Hospitality: In these sectors, humanoid robots will enhance customer service by guiding patrons, providing information, and managing transactions, thereby elevating the overall customer experience.
• Education: Robots will support educators by offering personalized learning assistance, helping students with special needs, and providing supplementary educational resources.
• Manufacturing: In industrial settings, humanoid robots will work alongside human operators, handling tasks that require precision and dexterity, thus optimizing assembly line operations.

Technological Integration and Connectivity

The future of humanoid robots in the workplace will see increased integration with cutting-edge technologies:

• IoT and Connectivity: Robots will leverage the Internet of Things (IoT) to interact with other devices and systems, enhancing their ability to share data and perform collaborative tasks.
• 5G and Edge Computing: The implementation of 5G networks and edge computing will enable faster data processing and reduced latency, significantly improving robots’ real-time responsiveness and operational efficiency.

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

The post Humanoid Robots And Their Potential Impact On the Future of Work appeared first on AiThority.

Availability of Phrase Platform on AWS Marketplace simplifies procurement, enhances global content strategies, accelerates international growth

Phrase, a global leader in AI-based localization technology, today announced it has launched its cloud-based Phrase Localization Platform on AWS Marketplace. AWS Marketplace is a digital curated catalogue that simplifies software provisioning, saving businesses valuable time and resources.

It provides an expansive selection of software listings, with flexible pricing models and quick deployment options that make it easy for customers to find, try, and deploy business-critical solutions that run on AWS.

Also Read: Appdome Unveils GenAI-Powered Mobile Threat Resolution

As Phrase is formally launched on the AWS Marketplace, it will also participate in the ISV Accelerate program. This co-sell program connects independent software vendors (ISVs) with AWS customers and the AWS sales organization to drive new customer acquisition.

Phrase is recognized by global enterprises for its advanced localization platform, which combines sophisticated AI-powered automation and translation management tools, underpinned by unique quality assurance capabilities. Phrase ensures that multilingual content—from websites and digital content to service communications, user-generated content, and localized products—is delivered with consistent accuracy, speed, and scalability.

As a world leader in AI-led translation and localization technology, Phrase can now provide AWS customers with fast and immediate access to its robust Localization Platform. This helps businesses to enhance their global content strategies, eliminating any lengthy financial or administrative hurdles.

“We are excited that the Phrase Localization Platform is now available in the AWS Marketplace. It allows us to provide fast and secure access to our best-in-class translation technology for the many AWS customers around the world.” said Georg Ell, CEO of Phrase. “Our goal is to make it easy for brands to engage with customers in any language, enter new markets and accelerate global growth. Our availability on the AWS Marketplace delivers on this promise.”

Also Read: AI and Big Data Governance: Challenges and Top Benefits

With Phrase now accessible through AWS Marketplace, customers can set up their localization operations more quickly and efficiently. By accessing flexible and scalable translation technology through AWS Marketplace, the procurement process is simplified with consolidated b****** and potential cost savings. This allows AWS customers to make the most of their existing budgets and resources.

To benefit from advanced translation and localization technology, customers can simply activate the Phrase Localization Platform through AWS Marketplace.

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

The post Phrase Launches AI-Led Translation Platform on AWS Marketplace appeared first on AiThority.