Connect with us

AI Research

How Artificial Intelligence is Transforming Manufacturing

Published

on









How Artificial Intelligence is Transforming Manufacturing

According to a study by the World Economic Forum, more than 70% of industrial AI projects are abandoned after the pilot phase. While some companies successfully integrate artificial intelligence (AI) into their operations and achieve significant economic benefits, others face major challenges. However, many examples show that AI can be effectively used in manufacturing and has become a vital element of flexible, efficient production (Figure 1). Today, AI solutions are available that not only integrate smoothly into industrial processes but can also handle complex tasks with high efficiency.


Figure 1: Industrial AI is poised to change the way we know manufacturing and the implications of this change are vast and far-reaching.


Visual quality control


Quality assurance is a key task in industrial manufacturing. AI-powered image processing systems now make reliable quality inspections possible. One example is Inspekto, a solution for visual quality inspection that enables companies to automate product checks without needing deep AI or image-processing knowledge. The intuitive system can be ready for use in less than an hour and needs only about twenty sample images classified as “good” to deliver accurate results. Basic production knowledge of quality testing is enough—no AI expertise is required (Figure 2).

For example, the mid-sized company MTConnectivity Power2pcb uses Inspekto to inspect connectors to identify minimal deviations and slightly bent contacts. By integrating this AI-based system into its production line, the company ensures continuous quality assurance, improves reliability and shortens delivery times.


Figure 2: Inspekto from Siemens enables out-of-the-box visual quality inspection and requires no expertise in vision solutions or AI.


Generative AI in manufacturing


The application and implementation of generative AI models are more complex. Siemens’ Industrial Copilots are designed to improve human-machine collaboration and accelerate innovation across the entire value chain—from design, planning and engineering to operations and service. The Industrial Copilot for Operations is currently being piloted at customer sites and Siemens factories to test its reliability. Meanwhile, the Industrial Copilot for Engineering is already available as a finished product (Figure 3).

Thyssenkrupp Automation Engineering, a specialized machinery and equipment manufacturer, has integrated the Siemens Industrial Copilot into its systems for handling round cells used in battery inspections for electric vehicles. The Copilot automates repetitive tasks like data management, sensor configuration and detailed reporting that helps meet strict battery inspection standards. By managing routine tasks, the Copilot allows engineering teams to focus on complex, high-value activities, while solving problems in real time, minimizing downtime and ensuring smooth production.


Figure 3: Siemens’ vision of Industrial Copilots along the entire value chain aims to unlock the potential for improving human-machine collaboration and accelerating development and innovation cycles.




 


Predictive maintenance with AI


AI is also revolutionizing predictive maintenance. Instead of relying on fixed maintenance intervals or manual analysis, AI uses continuous machine data monitoring to detect early signs of wear and suggest maintenance actions. Siemens’ Senseye Predictive Maintenance solution identifies deviations in temperature, vibration and torque data to offer early warnings and recommendations (Figure 4).

Mercer Celgar, a producer of pulp and wood products, uses this technology to monitor its machinery in real time. Data from multiple production lines is combined into a central platform that provides a full overview of the manufacturing process and significantly reduces downtime.


Figure 4: Senseye Predictive Maintenance uses AI to enable asset intelligence across plants without the need for manual analysis.


Seamless integration of AI models


Even companies that have already adopted AI face challenges when scaling their solutions. Issues like time-consuming updates, poor connectivity or complex maintenance often arise. To address these challenges, the Industrial AI Suite is available. Industrial AI Suite is a platform for the smooth implementation of AI solutions on the shop floor.

These solutions are customized in close collaboration with customers to combine their existing AI expertise with Siemens’ infrastructure for scalable deployment . Depending on the use case, these solutions use edge or cloud computing to integrate services like AWS or Microsoft Azure. AI models can be trained in the cloud and then easily deployed to production floors using the AI Inference Server. The Industrial Edge application enables customers to deploy and run trained AI models in production, directly on the Industrial Edge, even with GPU-accelerated inferencing.

The Industrial AI Suite also manages the full AI model lifecycle, which allows easy updates and automatic detection of performance issues. For example, Siemens helped a food and beverage company integrate AI-based soft sensors into its production. These sensors ensure consistent product quality and taste by analyzing process parameters in real time and dynamically adjusting target values to optimize production and reduce waste.

In electronics manufacturing, Siemens’ electronics factory in Erlangen, Germany, uses machine learning models to detect errors in circuit board assembly, which improves speed and cost-efficiency with the help of the Industrial AI Suite.

 


Making AI accessible and practical


These real-world examples show that AI plays a crucial role in modern industry. Embedding AI systems into products hides the complexity from users and makes AI accessible and usable for everyone. The key to success lies in flexible infrastructures that allow companies to tailor AI solutions to their specific needs.

Industrial AI is no longer a futuristic vision—it is already delivering real competitive advantages today.

Images courtesy of Siemens.

This feature was originally posted on ISA Interchange blog and also appeared in the June/July issue of Automation.com Monthly.



About The Author


Dr. Matthias Loskyll is the senior director of Software, Virtual Control & Industrial AI at Siemens. He is a leader with a passion for customer-centric innovation and management of interdisciplinary teams of experts. He has more than 16 years of experience and background in AI methods, software development, industrial production, automation systems, Industry 4.0, industrial operations and manufacturing execution systems.



Download the June/July issue of Automation.com Monthly


Did you enjoy this great article?

Check out our free e-newsletters to read more great articles..

Subscribe









Source link

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

AI Research

Study reveals why humans adapt better than AI

Published

on


Humans adapt to new situations through abstraction, while AI relies on statistical or rule-based methods, limiting flexibility in unfamiliar scenarios.

A new interdisciplinary study from Bielefeld University and other leading institutions explores why humans excel at adapting to new situations while AI systems often struggle. Researchers found humans generalise through abstraction and concepts, while AI relies on statistical or rule-based methods.

The study proposes a framework to align human and AI reasoning, defining generalisation, how it works, and how it can be assessed. Experts say differences in generalisation limit AI flexibility and stress the need for human-centred design in medicine, transport, and decision-making.

Researchers collaborated across more than 20 institutions, including Bielefeld, Bamberg, Amsterdam, and Oxford, under the SAIL project. The initiative aims to develop AI systems that are sustainable, transparent, and better able to support human values and decision-making.

Interdisciplinary insights may guide the responsible use of AI in human-AI teams, ensuring machines complement rather than disrupt human judgement.

The findings underline the importance of bridging cognitive science and AI research to foster more adaptable, trustworthy, and human-aligned AI systems capable of tackling complex, real-world challenges.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!



Source link

Continue Reading

AI Research

Josh Bersin Company Research Reveals How Talent Acquisition Is Being Revolutionized by AI

Published

on


  • Jobs aren’t disappearing. Through AI, talent acquisition is fast evolving from hand-crafted interviewing and recruiting to a data-driven model that ensures the right talent is hired at the right time, for the right role with unmatched accuracy

  • Traditional recruiting isn’t working: in 2024, only 17% of applicants received interviews and 60% abandoned slow application processes

  • AI drives 2–3x faster hiring, stronger candidate quality, sharper targeting—and 95% candidate satisfaction at Foundever, from 200,000+ applicants in just six months

OAKLAND, Calif., Sept. 16, 2025 /PRNewswire/ — The Josh Bersin Company, the world’s most trusted HR advisory firm, today released new research showing that jobs aren’t disappearing—they’re being matched with greater intelligence. The research, produced in collaboration with AMS, reveals major advances in talent acquisition (TA) driven by AI-enabled technology, which are yielding 2–3x faster time to hire, stronger candidate-role matches, and unprecedented precision in sourcing.

The Josh Bersin Company (PRNewsfoto/The Josh Bersin Company)

The global market for recruiting, hiring, and staffing is over $850 billion and is growing at 13% per year, despite the economic slowdown, though signs of strain are evident. This means TA leaders are turning to AI to adapt, as AI transforms jobs, creates the need for new roles, new skills, and AI expertise.

According to the research and advisory firm, even without AI disruption, over 20% of employees consider changing jobs each year, driving demand for a new wave of high-precision, AI-powered tools for assessment, interviewing, selection, and hiring. Companies joining this AI revolution are hiring 200-300% faster, with greater accuracy and efficiency than their peers, despite the job market slowdown.

According to the report, The Talent Acquisition Revolution: How AI is Transforming Recruiting, the TA automation revolution is delivering benefits across the hiring ecosystem: job seekers experience faster recognition and better fit, while employers gain accurate, real-time, and highly scalable recruitment.

This is against a context of failure with current hiring. In 2024, less than one in four (17%) of applicants made it to the interview stage, and 60% of job seekers, due to too-slow hiring portals, abandoned the whole application process.

The research shows how organizations are already realizing benefits such as lower hiring costs, stronger internal mobility, and higher productivity. AI-empowered TA teams are also streamlining operations by shifting large portions of manual, admin-heavy work to specialized vendors.

Early successes are striking: after deploying conversational AI, a major U.S. resort operator increased scheduled interviews by 423% in 12 months while reducing candidate drop-off by 85%. A new AI TA process at Foundever hit 95% candidate satisfaction rating from over 200,000 applicants in just six months, while a leading global automotive company reported $2 million in savings in its first year using AI-powered interview scheduling.

The research highlights how AI is helping TA overcome frustrations like vague job descriptions, inconsistent interviews, and labor-intensive processes.

HR teams now use AI to automate tasks from profiling and sourcing to screening, scheduling, interviewing, and negotiating offers. Companies showcasing these successes include major international brands spanning the hospitality, food, healthcare, and technology sectors, such as Fontainebleau Las Vegas and Compass Group.

Some organizations are using AI-powered recruiting assistants to manage routine communication and negotiations. Recruiters set parameters for salary, benefits, and start dates, while the AI answers questions, updates offers, and proposes alternatives in real time. By automating tasks and personalizing the experience, AI shortens turnaround times and frees recruiters to focus on strategy.

The vendor market is transforming, with SAP acquiring SmartRecruiters and Workday acquiring Paradox to stay competitive. Innovations include AI agents enabling automation of the full hiring journey (Eightfold AI, Maki People) conversational AI for candidate engagement (Glider AI, Paradox, Radancy), AI-driven assessments (CodeSignal, HireVue, TaTiO), and platforms that benchmark roles against labor market data (Draup, Galileo, Lightcast, Reejig, SeekOut, TechWolf).

Report author and Josh Bersin Company Industry Analyst & Senior Research Director, Stella Ioannidou, says:

“For decades, TA has been viewed as a cost center, focused on using applicant tracking systems to manage incoming candidates and relying on recruiters to screen and interview. This process was slow, expensive, and delivered a poor experience for job seekers.

“Today, by leveraging AI-powered platforms and integrated data, TA teams can identify, attract, and engage the best talent in the market with unparalleled precision, often before competitors even know those candidates are available—resulting in a proactive, data-driven approach that enables organizations to respond quickly to changing business needs, seize new opportunities, and fuel growth from within.”

Chief Executive Officer at AMS, Gordon Stuart, says:

“This research paper captures the urgency and scale of the AI revolution which is transforming TA. It doesn’t just reflect what’s happening now, it helps us understand what’s next. Candidates want speed, clarity, and connection. Recruiters need tools that free them to focus on strategy and relationships. And businesses must rethink how talent acquisition fits into their broader growth agenda. AI is not just automating tasks, it’s redefining roles, workflows, and expectations across the board. The cumulative power of people, process, data and technology is heralding a new era for talent acquisition.”

Global industry analyst and Josh Bersin Company CEO, Josh Bersin, says:

“AI is expected to provide CHROs with a data-rich view of talent comparable to an integrated supply chain, enabling them to track and analyze every detail of each hire with the same precision a luxury Swiss watchmaker applies to every component and its origin.

“This transition transforms HR from handcrafted processes to precision, dynamic hiring—something once unattainable without AI.

“The implications are significant for all stakeholders, particularly CEOs. Organizations that lacked a precision hiring process have historically faced millions in lost revenue, high turnover, and misaligned talent—but those days are now coming to an end.”

This new research follows previous Josh Bersin Company findings demonstrating how AI is transforming another core HR function: Learning & Development.

The Josh Bersin Company’s Galileo Suite delivers both strategic guidance and hands-on tools through its AI Agent for HR, as well as hyper-personalized learning through the exclusive Galileo Learn certificate course, AI-First TA Transformation. The full report is available to download here.

About AMS
AMS is a leading global provider of talent acquisition and consulting services, providing unrivalled experience, driven by technology and underpinned by innovation. We help our clients to attract, engage and retain the talent they need for business success.

We have three core areas of service: acquisition, advisory and digital, mainly delivered as an outsourced model, and spanning our clients’ permanent and contingent workforce, and internal mobility requirements.

Our dedicated teams of experts are deeply embedded with our global blue-chip clients, enhancing talent acquisition processes and driving projects which align with overall strategic objectives. This relationship-driven approach is supporting our clients to redefine how they hire and retain top talent. For more, go to www.weareams.com/

About The Josh Bersin Company

The most trusted human capital advisors in the world. More than a million HR and business leaders rely on us to help them overcome their greatest people challenges.

Thanks to our understanding of workplace issues, informed by the largest and most up-to-date data sets on workers and employees, we give leaders the confidence to make decisions in line with the latest thinking and evidence about work and the workplace. We’re great listeners, too. There’s no one like us, who understands this area so comprehensively and without bias.

Our offerings include the industry’s leading AI-powered HR expert assistant, Galileo®, fueled by 25 years of in-depth Josh Bersin Company research, case studies, benchmarks, and market information.

We help CHROs and CEOs be better at delivering their business goals. We do that by helping you to manage people better. We are enablers at our core. We provide strategic advice and counsel supported by in-depth research, thought leadership, and unrivaled professional development, community, and networking opportunities.

We empower our clients to run their businesses better. And we empower the market by identifying results-driven practices that make work better for every person on the planet.

Cision
Cision

View original content to download multimedia:https://www.prnewswire.com/news-releases/josh-bersin-company-research-reveals-how-talent-acquisition-is-being-revolutionized-by-ai-302557505.html



Source link

Continue Reading

AI Research

Causaly Introduces First Agentic AI Platform Built for Life Sciences Research and Development

Published

on

By


Specialized AI agents automate research workflows and accelerate
drug discovery and development with transparent, evidence-backed insights

LONDON, Sept. 16, 2025 /PRNewswire/ — Causaly today introduced Causaly Agentic Research, an agentic AI breakthrough that delivers the transparency and scientific rigor that life sciences research and development demands. First-of-their-kind, specialized AI agents access, analyze, and synthesize comprehensive internal and external biomedical knowledge and competitive intelligence. Scientists can now automate complex tasks and workflows to scale R&D operations, discover novel insights, and drive faster decisions with confidence, precision, and clarity.

Industry-specific scientific AI agents

Causaly Agentic Research builds on Causaly Deep Research with a conversational interface that lets users interact directly with Causaly AI research agents. Unlike legacy literature review tools and general-purpose AI tools, Causaly Agentic Research uses industry-specific AI agents built for life sciences R&D and securely combines internal and external data to create a single source of truth for research. Causaly AI agents complete multi-step tasks across drug discovery and development, from generating and testing hypotheses to producing structured, transparent results always backed by evidence.

“Agentic AI fundamentally changes how life sciences conducts research,” said Yiannis Kiachopoulos, co-founder and CEO of Causaly. “Causaly Agentic Research emulates the scientific process, automatically analyzing data, finding biological relationships, and reasoning through problems. AI agents work like digital assistants, eliminating manual tasks and dependencies on other teams, so scientists can access more diverse evidence sources, de-risk decision-making, and focus on higher-value work.”

Solving critical research challenges

Research and development teams need access to vast amounts of biomedical data, but manual and siloed processes slow research and create long cycle times for getting treatments to market. Scientists spend weeks analyzing narrow slices of data while critical insights remain hidden. Human biases influence decisions, and the volume of scientific information overwhelms traditional research approaches.

Causaly addresses these challenges as the first agentic AI platform for scientists that combines extensive biomedical information with competitive intelligence and proprietary datasets. With a single, intelligent interface for scientific discovery that fits within scientists’ existing workflows, research and development teams can eliminate silos, improve productivity, and accelerate scientific ideas to market.

Comprehensive agentic AI research platform

As part of the Causaly platform, Causaly Agentic Research provides scientists multiple AI agents that collaborate to:

  • Conduct complex analysis and provide answers that move research forward
  • Verify quality and accuracy to dramatically reduce time-to-discovery
  • Continuously scan the scientific landscape to surface critical signals and emerging evidence in real time
  • Deliver fully traceable insights that help teams make confident, evidence-backed decisions while maintaining scientific rigor for regulatory approval
  • Connect seamlessly with internal systems, public applications, data sources, and even other AI agents, unifying scientific discovery

Availability

Causaly Agentic Research will be available in October 2025, with a conversational interface and foundational AI agents to accelerate drug discovery and development. Additional specialized AI agents are planned for availability by the end of the year.

Explore how Causaly Agentic Research can redefine your R&D workflows and bring the future of drug development to your organization at causaly.com/products/agentic-research.

About Causaly

Causaly is a leader in AI for the life sciences industry. Leading biopharmaceutical companies use the Causaly AI platform to find, visualize, and interpret biomedical knowledge and automate critical research workflows. To learn how Causaly is accelerating drug discovery through transformative AI technologies and getting critical treatments to patients faster, visit www.causaly.com.

Logo – https://mma.prnewswire.com/media/2653240/Causaly_Logo_Logo.jpg



Source link

Continue Reading

Trending