Dinis Guarda Digital Twin Highlights Industrial AI Applications And Impacts In Techabc

Techabc, a sub series in the Dinis Guarda YouTube channel, highlights the latest innovations in the field of technology, their impact on humanity, and expert insights on the co-existence of technology and humanity. In this episode of techabc, the Dinis Guarda Digital Twin provides a comprehensive overview of the impact, potentials, and ethical and regulatory aspects of Industrial AI.

Industrial AI is redefining how industries operate, driving efficiency, productivity, and innovation at an unprecedented scale. As Dinis highlights:

“The application of artificial intelligence, in an industrial context, is designed to meet the rigorous demands of industrial environments. From handling vast amounts of data generated by machines to detecting complex patterns, industrial AI is supercharging digital and sustainability Transformations at unprecedented speed and scale.”

Explaining the fundamental difference between Generative AI and Industrial AI, Dinis says:

“Industrial AI is fundamentally different from General AI, which focuses on creating systems with humanlike intelligence; instead, Industrial AI is concerned with applying AI to solve specific industrial challenges - whether it's improving customer value, increasing productivity, or reducing costs. Consider the case of service now which uses AI powered automation to achieve nearly 20% case avoidance with their now assist platform. This is just one example of how AI is being used to streamline operations and enhance decision- making across Industries.”

Industrial AI integration in processes and workflows

The inception of artificial intelligence is shaping the entire world, and we are beginning to see what AI-infused companies and their respective companies are changing the world, our society and what the future and present are and will look like. Dinis says:

“In recent years, AI and machine learning have become key enablers in the industrial sector. Thanks to several factors - the proliferation of affordable sensors and automated data acquisition combined with more powerful computation capabilities has allowed industries to process and analyse vast amounts of data at unprecedented speeds. 

Companies like Palo Alto Networks have reduced processing costs by integrating AI into their operations, while Klarna, a Swedish fintech company, recently announced over $40 million in run rate savings by embedding AI into their customer support functions. These are the tangible benefits that AI brings to industrial processes.”

Industrial AI Impacts

Industrial AI is one of the top performing technologies being adopted 360. From heavy industry to data and analytics UX and UI reimagined around the capabilities of AI in any department or systems around.

Dinis puts a spotlight on some of the successful integrations of Industrial AI across multiple sectors: “The impact of Industrial AI is far-reaching, extending across various sectors and revolutionising traditional industries. For instance, HubSpot, a giant in marketing and data, has successfully scaled its customer support through AI, showcasing how these technologies can significantly enhance operational efficiency.

OpenAI, with a valuation of $86 billion, serves clients like Morgan Stanley and the government of Iceland, highlighting the broad adoption of AI in both private and public sectors. Companies such as Databricks, which provides AI deployment software to Shell and the United States Postal Service, further illustrate how AI is reshaping industries on a global scale. Siemens, particularly in Europe, is leading this transformation, driving the development of industrial-grade AI and setting new standards for innovation and operational excellence.”

How Industrial AI is shaping the future of humanity?

“As we look to the future, the potential of Industrial AI seems boundless”, says Dinis. Industrial AI has the potential to lead to better education, healthier populations and more productive people by abstracting away mundane work and allowing us to focus our attention on more important issues and better tools for the future. It can free up more people to tackle more problems to create a better society.

“However, this shift will require new infrastructure, advanced enterprise products, and a reimagining of knowledge management and content generation to meet the unique needs of these AI-driven organisations”, warns Dinis.

Highlighting the challenges, he says:

“Despite the $1 trillion opportunity that AI presents for industries, many decision-makers remain uneducated or unsure about where to apply AI solutions for real impact. This hesitation has led to slower adoption rates.

To truly harness the potential of AI, we must also address the ethical and societal implications of these technologies.”

He concludes:

“Industrial-grade AI is not merely about technological advancement; it is about preparing humanity for the future. As we move forward, the key to unlocking the full potential of AI lies in our collective understanding and strategic implementation.

As we step into this new industrial era, the challenge lies in guiding this transformation responsibly, ensuring that AI serves to amplify human ingenuity and creativity, rather than diminish it.”