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Blockchain, AI and Sustainability: How Emerging Technologies Converge

December 6, 2024
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Exponential Science
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The convergence of technologies is no longer a distant vision but a present reality reshaping industries, altering economies and redefining human experiences today. 

The fusion of innovations such as artificial intelligence (AI), blockchain, machine learning (ML), the internet of things (IoT), digital twins, the metaverse and distributed ledger technology (DLT), and other technologies that fall under the deep tech category creates interconnected systems that amplify their individual capabilities. 

But what are the key drivers behind technologies converging? What are some of the most impactful technologies in the world right now, and are there any real-life examples of their application, intertwined applications and how can they drive progress in the future?

What Are the Key Emerging Technologies?

To understand the power of the convergence of technologies, it is essential to understand the main technologies pushing this transformation:

But what is deep tech? Deep technology or hard tech, is an area of business or research that uses advanced science and technology to provide solutions for complex problems. Apart from those listed above, other innovations such as quantum computing, robotics, virtual reality (VR), augmented reality (AR), sustainable energy, and clean technologies are also included.

Where Technologies Meet: Transformative Synergies

Several technological advancements have led to the rapid emergence of radical innovations that are not fully understood or regulated. While challenging to govern, these emerging technologies have the power to change lives and accelerate the green and digital transition, profoundly impacting areas such as healthcare, climate change, sustainable energy, monetary systems, and AI's transforming industries.

Blockchain & AI

Combining blockchain and AI strengthens transparency and trust in automated systems. Blockchain’s immutable nature ensures the integrity of the data AI analyses, remaining secure and tamper-proof, while AI enhances the utility of blockchain by processing vast datasets for real-time insights.

This synergy is transforming industries like supply chain, finance, and healthcare by securing data flows and enabling autonomous decision-making. For instance, IBM’s Sterling Supply Chain Suite integrates these technologies to optimise operations, leveraging AI for predictive analytics and real-time visibility, and blockchain to secure data, enhance traceability, and streamline global supply chains.

Blockchain & Metaverse

Blockchain serves as the backbone of the metaverse, enabling secure ownership of digital assets and decentralised transactions. Its transparency ensures confidence in user interactions and virtual asset management.

This intersection creates new commerce, entertainment, and identity management opportunities in immersive digital spaces. Unlike traditional gaming platforms, which rely on centralised servers to manage user accounts, in-game economies, and asset ownership, blockchain-based platforms decentralise these aspects.

For example, in Decentraland, the first decentralised metaverse, blockchain ensures that digital assets such as land parcels and items are user-owned and freely tradeable, eliminating reliance on a central authority. This contrasts with traditional platforms where assets are controlled by the company, limiting user ownership and portability.

Taken from 'Get To Know Decentraland, The Most Popular Metaverse And How To Play It,' by VOI, 2022 (https://voi.id/fr/teknologi/131501).

Blockchain & IoT

By decentralising IoT networks, blockchain enhances their resilience and safeguards against tampering. Blockchain technology also verifies data integrity, creating a trustworthy foundation for the massive streams of IoT-generated information.

This integration facilitates trust in connected ecosystems, particularly in supply chains and utilities. It is the case with Samsung SDS’s Cello Trust, a blockchain-based logistics platform, leverages blockchain and IoT to monitor real-time supply chain data, ensuring secure, traceable, and optimised logistics operations.

AI & IoT

The convergence of AI and IoT drives the development of intelligent systems capable of real-time decision-making. AI processes vast amounts of data collected by IoT sensors, enabling smarter and more adaptive technologies. Together these two are now referred to as the Artificial Intelligence of Things (AIoT), which works on five elements: data, connectivity, insight, action and things. 

Bill Gates was already a visionary, when, back in 2004, during a visit to universities aimed at encouraging students to pursue careers in computing, he highlighted the transformative potential of AI. When asked if another technology company could ever match Microsoft's success, Gates responded,

‘If you invent a breakthrough in artificial intelligence, so machines can learn, that is worth 10 Microsofts.’

This synergy powers applications ranging from industrial automation to customised consumer experiences. One such use case is Tesla’s self-driving cars, which use IoT devices to collect sensor data and AI algorithms to process the information for real-time navigation, collision avoidance, and route optimisation, creating safer and more efficient autonomous systems.

Blockchain Boosting Innovation

Blockchain technology plays a crucial role in these technologies’ convergence, amplifying their capabilities by addressing critical challenges like data integrity, transparency, and decentralisation. 

Blockchain technology ensures interoperability across platforms, provides tamper-proof datasets for AI systems, enhances IoT resilience by eliminating single points of failure, and fosters trust in AI systems by enabling auditability and accountability in decision-making processes. The potential of blockchain in integrating with other technologies is enormous, with many opportunities yet to be fully explored.

Applications of the Future

The convergence of technologies such as blockchain, AI, ML, IoT, digital twins, the metaverse, DLTs, and more- paves the way for potential use cases across various industries. While many of these applications are in the early stages, they offer a glimpse into game-changing possibilities: 

  • Healthcare: IoT devices may collect patient data, which AI could analyse to generate diagnostic insights while the blockchain secures their medical records for privacy and authenticity.
  • Predictive Maintenance: ML algorithms are able to analyse data from IoT-connected machinery to predict and prevent failures.
  • Energy: IoT-enabled smart grids aim to use blockchain to manage energy transactions securely and efficiently, decentralising energy systems.
  • Smart Cities: AI can process data from IoT sensors for traffic management, resource optimisation, and energy efficiency, while blockchain would secure data shared across platforms.
  • Supply Chain: IoT sensors track products in real time and the blockchain could provide data authenticity and transparency in every stage of the supply chain.
  • Finance: AI has the potential to detect fraud through pattern recognition whereas the blockchain provides an immutable decentralised record of transactions.
  • Gaming and Digital Assets: the blockchain can verify ownership of players' in-game assets in the metaverse, and the IoT devices could enhance interactions within immersive environments.

Unlocking Technology’s Full Potential

The synergies between blockchain, AI, IoT, digital twins, the metaverse, and other technologies have the potential to create systems greater than the sum of their parts. These convergences push innovation forward across industries, from healthcare, manufacturing and urban development to immersive digital spaces or finance.

Embracing these integrated solutions is increasingly becoming a necessity for businesses to stay competitive in an interconnected world. However, this rapid technological convergence presents significant challenges for regulators and governments, who must address critical issues such as data privacy, cybersecurity, ethical AI usage, and the environmental impact of these technologies.

The global appetite for AI and blockchain solutions is evident, as society steadily demands their integration into everyday life. Tech giants like Google, Meta, Samsung, Microsoft, Amazon and Visa are investing in these technologies to offer seamless, secure, and efficient solutions for consumers. Whether it is blockchain-backed digital payments, AI-driven personalisation, or IoT-enhanced devices, these innovations are gaining momentum because people want them and businesses are racing to meet those expectations.

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