The Dinis Guarda Digital Twin delves into the transformative world of Industrial AI in the latest episode of Techabc, a technology-based podcast series under the flagship of Dinis Guarda YouTube channel. The episode provides a comprehensive exploration of the applications, impacts, and ethical considerations of Industrial AI, highlighting how this technology is revolutionising industries and shaping the future of our society.
Techabc is a dynamic series that caters to tech enthusiasts, professionals, and anyone with a curiosity for the digital world, offering in-depth insights into technology, software, and the latest industry developments. Covering everything from cutting-edge artificial intelligence breakthroughs to advancements in smart gadgets and revolutionary software solutions, Techabc ensures its audience stays informed about the innovations shaping our world. One of its standout features is its focus on practical application, providing not just a glimpse into technological marvels but also exploring how these innovations can be applied in real-world scenarios.
Highlighting the fundamental of Industrial AI, Dinis says:
“It is the application of artificial intelligence in an industrial context 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.”
Industrial AI versus Generative AI
Industrial AI refers to the application of artificial intelligence specifically within industrial environments, where it is used to enhance efficiency, productivity, and decision-making processes. Unlike Generative AI, which aims to mimic human intelligence, industrial AI is focused on solving specific challenges within industries. From optimising processes to predicting maintenance needs and improving quality control, industrial AI is driving digital and sustainability transformations at an unprecedented speed and scale.
“Industrial AI is fundamentally different from Generative 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.”
Integration of Industrial AI in process management
Dinis highlighted in the Techabc episode that companies like ServiceNow are utilising AI-powered automation to achieve nearly 20% case avoidance through their Now Assist platform. “This is just one example of how industrial AI is streamlining operations and delivering tangible benefits across various industries“, says Dinis.
“The widespread adoption of artificial intelligence is shaping the entire world; this is however just the beginning. Today, many companies are deeply integrating AI into their processes as a way to accelerate KPIs, infrastructure and business and operations models. With time, the entire framework of businesses will be radically transformed by automation and innovation coming from industrial AI at large.”
He also cited that companies like Palo Alto Networks have successfully reduced processing costs by embedding AI into their operations, while Klarna, a Swedish fintech company, reported over $40 million in run rate savings by incorporating AI into their customer support functions.
The widespread impact of Industrial AI
From heavy industry to data and analytics UX and UI reimagined around the capabilities of AI in any department or systems around.
“Previous waves of tech innovation — networking, the internet and mobile — have largely been communication revolutions. AI promises to be something different — a productivity revolution, more akin to the personal computer, which shaped the future of business and industry.
The impact of industrial AI extends across various sectors. HubSpot, a giant in marketing and data, has successfully scaled its customer support through AI. Meanwhile, OpenAI with a valuation of $86 billion counts Morgan Stanley and the government of Iceland among its clients. Companies like DataBricks provide AI deployment software to Shell and the United States Postal Service.
Siemens is at the forefront of this transformation, particularly in Europe, where its global AI research centers are anchored. The company is driving the development of industrial grade AI, setting new standards for innovation and operational excellence.”
Realising the potential of Industrial AI
Generative AI extends beyond simple text or code generation to agents’ interactions. With time, this will be more important and impactful in big industries. Just as the rise of the PC and then the smartphone drove demand for internet bandwidth to transmit data, the evolution of AI agents will drive demand for new industrial AI products and infrastructure to support ever more powerful computation and innovation and disruption crosstalk. As Dinis says:
“We expect to see entire industries and sectors integrate Industry AI and the full spectrum that comes with it. Replicating existing functions better and cheaper, will be followed by evolving entirely new user industrial applications and interfaces to deliver valuable new experiences, to optimise, scale and measure all aspects as businesses.
Imagine a world where companies are smaller more agile and faster to form, thanks to AI. but 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.”
Challenges in Industrial AI adoption
“While AI presents a $1 trillion opportunity for industries, many decision-makers are still uneducated or unsure about how to apply AI solutions effectively. This uncertainty has led to slower adoption rates, hindering the full realisation of AI’s potential.
Nevertheless, companies that embrace AI are poised to lead a new industrial revolution, one that could drastically reduce costs in critical areas such as healthcare and education, making these services more accessible and affordable. However, to truly harness the potential of AI, it is essential to address the ethical and societal implications of these technologies“, says Dinis.
Preparing for the future with Industrial AI
Industrial-grade AI is not just about technological advancements; it is about preparing humanity for the future. As we move forward, the key to unlocking AI’s potential lies in our collective understanding and strategic implementation of these technologies. Industrial AI has the power to reshape industries and, by extension, our society, making it a pivotal force in the development of our new civilisation.
Dinis concludes: “Industrial AI is the alpha of our new civilisation – a powerful force that will reshape industries and, by extension, our society.” The future of industry, and indeed society, depends on our ability to integrate AI in ways that drive innovation while maintaining the values that define our humanity.”
With a driving passion to create a relatable content, Pallavi progressed from writing as a freelancer to full-time professional. Science, innovation, technology, economics are very few (but not limiting) fields she zealous about. Reading, writing, and teaching are the other activities she loves to get involved beyond content writing for intelligenthq.com, citiesabc.com, and openbusinesscouncil.org
