Industrial Artificial Intelligence: Revolutionizing Industries

Industrial Artificial Intelligence: Revolutionizing Industries

What is Industrial #AI (Artificial Intelligence)?

AI is revolutionizing industries, making them more efficient and productive. Industrial AI uses artificial intelligence in software systems across different industries to amplify human industrial knowledge and skills. Industrial AI is purpose built for highly specified industrial applications with the goal of using artificial intelligence to amplify the knowledge and skills of existing workers, allowing them to go well beyond their individual capability. By using data science, machine learning, deep learning, neural networks, natural language processing and large language networks, AI can analyze enormous amounts of data to uncover valuable insights. Successfully implementing industrial AI requires a data-driven culture with purpose-built AI-infused software designed to optimize resources, assets, and processes effectively throughout the entire value chain.

?

How is artificial intelligence transforming industry?

AI has the power to transform industries by unlocking the value of your data. First Industrial AI eliminates data silos by collecting all data into a single database. Then, Industrial AI can analyze that data, contextualize the data, and visualize key information. This empowers teams to collaborate and operate from a single source of trusted data. Implementing AI-driven solutions helps organizations achieve their bottom-line goals while advancing sustainability initiatives including:

·??????Increasing workforce efficiency

·??????Reduce energy usage while optimizing throughput

·??????Decrease downtime by increasing reliability

Industrial AI is rapidly changing sectors like manufacturing, energy, and transportation. By using predictive analytics and optimization techniques, industrial organizations optimize their processes. For example, in process manufacturing plants, AI monitors production in real-time, preemptively identifying potential issues and providing guided remediation steps to optimize overall equipment efficiency. AI also impacts supply chain management by analyzing data to optimize inventory, prevent shortages, and identify inefficiencies that affect profitability. Additionally, there are case studies where AI has been used in planning and scheduling to reduce greenhouse gas emissions, along with reduced energy emissions and increased efficiency. The sky is truly the limit.

?

What industries are most impacted by Industrial AI?

Industries worldwide are transforming due to the integration of artificial intelligence (AI), leading to improved operational excellence and business outcomes. Industrial AI impacts all aspects of the value chain, benefiting various industries. By leveraging the expertise of data scientists and specialized professionals, companies can remain competitive and enhance operational efficiency. AI-powered solutions streamline operations, optimize processes, and ensure high-quality and safe production. Process engineers can monitor equipment and manufacturing processes in real-time, thanks to machine learning algorithms.

?

What is an example of artificial intelligence in industry?

Artificial intelligence (AI) has brought significant advancements to industries, providing insights that were previously inaccessible. Predictive maintenance is a prominent application, where AI algorithms detect equipment issues before they occur, avoiding costly downtime. By analyzing sensor data, predictive models anticipate failures and enable proactive maintenance. This is especially valuable in process manufacturing, where machine downtime has financial implications.

AI is also transforming supply chain management. Predictive analytics helps identify bottlenecks and disruptions in advance, enabling timely contingency plans. Automating routine tasks enhances productivity, such as automating production line scheduling to optimize inventory levels and reduce costs.

Overall, AI reshapes the industrial landscape by improving supply chain management and offering optimization opportunities. Strategic implementation and expertise in industrial AI applications drive significant business outcomes by embracing a data-driven culture.

?

What is the future of AI in industry?

AI is revolutionizing industrial operations, delivering substantial value to organizations. Technological advancements open opportunities for digitalization, using AI-powered solutions to optimize performance and drive business outcomes.

Training machine learning algorithms will continue to be important. Collaboration between data scientists and engineers is crucial for developing smarter algorithms, requiring extensive data training, especially in optimization problems.

Automation will have a profound impact, reducing manual labor costs as process manufacturers embrace digital technologies. AI solutions that learn from past operations and predict future outcomes enable process optimization and increased efficiency.

Industrial AI fosters a data-driven culture within organizations. Collaboration between data scientists, engineers, and operators unlocks value through data utilization. While successful in healthcare and finance, AI's full potential has not been realized in the industrial sector,

Adopting industrial AI brings undeniable benefits, providing numerous opportunities for process optimization throughout the value chain. It is essential for businesses striving for long-term sustainability and competitiveness in their industries.

?

What current AI trends will transform industry the most?

AI is a vast field with various branches, and one of its most impactful subsets is machine learning, which emerged about 20 years ago and has revolutionized businesses. Additionally, deep learning and reinforcement learning have already made significant transformations in industries like finance, operations, medicine, and cybersecurity. In sectors such as manufacturing, process, and power industries, AI is now being integrated into crucial areas like design, construction, operation, maintenance, and optimization. The rise of the Internet of Things (IoT) and the abundance of data have fueled the concept of the Digital Twin, where AI-driven insights are built upon a foundation of data.

A notable trend in AI today is generative AI, exemplified by Large Language Models like GPT (Generative Pre-Trained Transformer), made accessible by OpenAI. This technology is rapidly advancing, giving rise to innovative ideas and tools like Microsoft's Copilot and competing offerings from companies like Google. As AI progresses, we envision a future where software collaborates with humans, gradually assuming more tasks and responsibilities, eventually leading to fully autonomous operations. Currently, we are transitioning from task-based AI to objective-driven AI with human supervision. This shift offers significant benefits for businesses as AI sets goals, dynamically links information and knowledge, autonomously identifies and solves problems, while human supervisors focus on strategic decision-making. However, we have only scratched the surface of AI's vast capabilities and potential as a crucial asset in business operations.?


How will generative AI impact various industries?

Generative AI is poised to revolutionize industries, bringing about significant and ongoing transformations. The development of advanced language models like GPT-3, 3.5, and 4 marks a game-changing breakthrough. However, the true power lies in combining these models with real-time industrial data and additional AI technologies. This integration allows for tailored solutions that go beyond mundane tasks and instead focus on achieving specific objectives, aligning with the unique needs of different industries.

The impact of generative AI is profound and far-reaching. By leveraging real-time data and advanced AI capabilities, businesses can unlock enhanced efficiency, sustainability, and innovation. Just imagine the possibilities of optimizing asset performance and operational control to minimize greenhouse gas emissions. Generative AI not only aims to support human supervision but also drives us towards a future of full autonomy. This transformative technology reshapes how businesses operate, paving the way for intelligent and adaptive systems that redefine industry norms.?


Will low-code, no-code accelerate the democratization of AI?

Low code and no code platforms have the potential to democratize AI, making it more accessible to a wider range of people. These platforms simplify the development and access to AI capabilities, allowing individuals with limited coding knowledge to create and deploy AI solutions using user-friendly visual interfaces. This democratization is a two-way street, as AI itself also plays a role in democratizing access to low code, no code tools. Generative AI, powered by large language models, can automatically generate code based on user input, making it easier for individuals to leverage these platforms. This creates a positive feedback loop where AI empowers people to use low code, no code tools, and these tools, in turn, make AI more accessible.

As AI continues to evolve, we anticipate a shift from task-based AI to objective-driven AI. This shift emphasizes the importance of AI aligning with specific objectives and goals. However, it also raises concerns about the need for safeguards and oversight to ensure responsible and ethical use of AI technologies. Nevertheless, the advancements in AI and its accessibility through low code, no code platforms hold enormous potential for improving sustainability and enhancing overall quality of life across different industries.


Are all Industrial AI vendors the same?

Not all industrial AI vendors are the same, and it is important to consider key factors when choosing one. One crucial factor is whether the vendor offers comprehensive software that covers the entire enterprise. This type of software seamlessly integrates with different systems and departments, enabling a comprehensive approach to industrial AI implementation.

With such software, organizations can make data-driven decisions throughout their value chain, leading to optimized operations, increased productivity, and operational excellence.

Another important aspect to consider is the vendor's ability to create robust custom-built models for data analysis. Each organization has unique requirements and datasets that require analysis to derive meaningful insights. A vendor that can develop customized models tailored to specific needs is highly valuable. These customer-built models enable deeper analysis, providing accurate and relevant insights. By leveraging these models, organizations can make informed decisions, identify trends, patterns, and uncover opportunities for improvement.

The combination of comprehensive software covering the entire enterprise and the ability to create customer-built models for data analysis is a powerful proposition for industrial AI vendors. It allows organizations to fully utilize their data and gain actionable insights that drive business outcomes. Choosing the right vendor means implementing industrial AI solutions that align with specific requirements, maximizing efficiency, and gaining a competitive edge.

A key question you need to ask is if vendors are just providing AI for the sake of checking a box for marketing collateral. Those vendors will not provide as much customer value as the vendors who infuse AI into their existing products. That is where the value of industrial AI comes from. The sum is greater than the value of the individual parts.

?

What is AVEVA Doing for Industrial AI?

AVEVA is the ultimate choice for organizations seeking an AI provider that truly excels in industrial applications. As a global leader, #AVEVA empowers process manufacturers with unparalleled technological solutions that optimize operations and drive remarkable growth. Their expertise lies in delivering a seamless experience that enhances productivity, reduces costs, and improves overall efficiency.

With AVEVA's Industrial AI solutions, organizations can streamline their processes by harnessing the power of data analysis from sensors. This results in increased output, reduced waste, and a remarkable improvement in product quality. By providing real-time visibility into the entire value chain, AVEVA enables informed decision-making regarding inventory levels, order fulfillment, and transportation planning. The outcome? Cost reduction and enhanced customer satisfaction.

AVEVA goes above and beyond by offering comprehensive training programs for both technical personnel and end-users. They ensure that their customers have the necessary skills to effectively leverage AI technologies, maximizing the benefits derived from their solutions. By infusing AI into their existing product portfolio, AVEVA covers the entire value chain, delivering unparalleled value to their customers.

To witness the transformative power of AVEVA's Industrial AI, I highly encourage you to visit our dedicated webpage . There, you will discover a wide range of AI-infused products that have already revolutionized industries. You will also witness the incredible value that emerges when these products interact and collaborate, surpassing the initial expectations and providing significant additional benefits.

Choose AVEVA as your AI provider and unlock the full potential of industrial AI to drive your organization's success.

?

Conclusion

The implementation of industrial AI has revolutionized industries, plays a crucial role in achieving operational excellence by leveraging data insights, optimizing processes, and accelerating problem-solving. Industrial AI boosts productivity, reduces costs, and improves decision-making.

Industrial digitalization has transformed all aspects of modern industry, with artificial intelligence being a vital component. AVEVA leads the way, providing comprehensive end-to-end solutions for industrial AI. Their AI-powered solutions, like Predictive Maintenance and AVEVA Insight, enable organizations to proactively optimize production performance and minimize downtime.

Industrial AI is a dynamic field with enormous growth potential. Its predictive maintenance and optimization capabilities revolutionize industries. By automating manual processes, it enhances efficiency and allows human workers to focus on specialized tasks. Learn more here.

?

Joseph McMullen

Driving Positive Change through Responsible Energy Transition | Environmental Stewardship

1 年

Here is a link to the short promo video I created. https://youtu.be/VeDqMsC1F9w?si=JlSLeDi1eY0fDPjv

回复
Joseph McMullen

Driving Positive Change through Responsible Energy Transition | Environmental Stewardship

1 年
回复
Stephany Romanow

Technical Writer| Editor| Strategic Planning| Media| Corporate Communications |Spokesperson| Website Content| Researcher

1 年

This article is most insightful. AI will be part of industrial knowledge management and decisionmaking.

Ran Yosef

VP of Marketing @Glassix ?? + ?? | The 'Glassix Spotlight' Podcast Host | B2B SaaS Growth Marketer | Demand Gen & Mops Leader | Foodie

1 年

Very insightful post, Joseph McMullen! I was happy to learn about industrial AI and how it helps reshaping various industries.

要查看或添加评论,请登录

社区洞察

其他会员也浏览了