by Michael Reuter | 3 April 2026 | AI, Autonomous Agents, Featured
A Practical Guide for Businesses
In April 2026, two timely pieces cut through the AI hype cycle. Ethan Mollick, writing in The Economist, warned that “the IT department [is] where AI goes to die.” His core argument: AI is a profoundly odd, risky, and powerful technology, a next-word predictor that unexpectedly writes code, gives strategic advice, or shows empathy, and companies are killing its potential by trying to “de-weird” it. Traditional IT processes, risk-averse governance, standardized KPIs, and legacy systems force AI into the mold of conventional enterprise software, stifling experimentation and emergent value.
At the same time, the Financial Times published “Investors are betting on AI chaos. History suggests otherwise.” Author Richard Waters noted that markets are pricing in revolutionary disruption – new winners, old losers – but past technology revolutions (PCs, internet, cloud) show savvy incumbents often muddle through, adapt, and even thrive. The real story is rarely the total chaos investors crave.
Together, these perspectives paint a clear picture of the most likely future of AI in business: not a dystopian job apocalypse or unicorn-disrupting chaos, but a pragmatic, evolutionary integration. AI will augment human work, reshape workflows, and deliver real value, but only for organizations that treat it as the strange, probabilistic tool it is while building the right foundations. Incumbents with strong data capabilities will have the edge.
Why AI “Dies” in Traditional IT, and Why That’s the Wrong Approach
Mollick’s essay resonates because it diagnoses a widespread problem we see daily in enterprise deployments. AI isn’t deterministic software with predictable outputs. It’s generative, context-dependent, and often surprising. When companies hand it to IT teams focused on security, compliance, uptime, and cost control, the natural response is to:
- Wrap it in rigid approval processes
- Demand ROI projections before pilots
- Force it into existing tech stacks without workflow redesign
- Prioritize “safe” use cases over creative experimentation
The result? Pilots that never scale. According to recent analyses (including Deloitte’s 2026 State of AI in the Enterprise), while worker access to AI tools has surged, the number of organizations moving projects into full production remains modest. Barriers like data quality, skills gaps, infrastructure readiness, and risk management continue to stall progress.
HBR has similarly observed that many companies report “widespread AI usage but disappointing returns,” with adoption stalling at the integration stage. The problem isn’t execution – it’s treating AI like a new CRM module instead of a fundamentally new way of working.
History Shows Incumbents Can Win If They Adapt Smartly
The FT piece offers reassurance: AI won’t necessarily destroy every incumbent. Past waves of technology (from electricity to the internet) initially sparked predictions of massive disruption, yet established players who invested in complementary capabilities—new skills, processes, and organizational structures—came out stronger.
In 2026, the winners won’t be the pure-play AI startups alone. They will be enterprises that:
- Combine their domain expertise and proprietary data with AI’s capabilities
- Redesign workflows around human-AI collaboration (what some call “co-intelligence”)
- Scale from pilots to enterprise-wide agentic systems under proper guardrails
PwC’s 2026 AI Business Predictions and similar reports emphasize a “disciplined march to value”: top-down enterprise strategies, measurable business outcomes, and governance that doesn’t kill experimentation.
The Most Likely Future: Pragmatic, Data-Driven, and Agentic
By late 2026 and into 2027, we expect the following trajectory:
- From pilots to production at scale — Organizations doubling the share of AI projects in production, driven by agentic AI (autonomous agents that execute multi-step workflows).
- J-curve productivity — Initial flat or negative returns as companies rewire processes, followed by steep gains once complementary innovations (new roles, data pipelines, decision protocols) are in place.
- Governance catching up — Mature frameworks for agentic AI, data quality, and responsible use becoming table stakes. Shadow AI will decline as secure, enterprise-grade platforms mature.
- Incumbents leveraging data moats — Companies with clean, governed data and domain expertise will outperform pure AI-native players in regulated or complex industries.
This future is neither utopian revolution nor failure – it’s an evolutionary transformation, provided organizations avoid the “IT department trap.”
Optimal Use of AI in Businesses: Five Practical Principles
Drawing from Mollick, historical lessons, and 2026 enterprise reports (Deloitte, McKinsey, PwC), here’s how forward-thinking companies are winning:
- Embrace the weirdness—experiment deliberately
Give teams space to discover unexpected uses. Mollick advocates leadership that encourages crowdsourced experimentation and “labs” to scale promising ideas. Treat AI like a creative collaborator, not just an automation tool.
- Build on rock-solid data foundations
Data quality and governance remain the #1 barrier cited across reports. Without trustworthy data pipelines, AI outputs are unreliable. This is where specialized partners excel – unifying siloed data, implementing real-time pipelines, and ensuring privacy/compliance.
- Redesign workflows and roles around human-AI co-intelligence
Don’t automate jobs – augment them. Successful organizations are re-architecting processes so humans focus on judgment, creativity, and relationships while AI handles analysis, drafting, and routine execution.
- Deploy secure, governed agentic AI
Autonomous agents are the next frontier, but they require bounded orchestration, threat modeling, and compliance-by-design. Enterprises need platforms that support multi-agent systems without introducing new risks.
- Measure what matters – and iterate
Move beyond vanity metrics. Track business outcomes (revenue impact, cost savings, customer satisfaction) and accept that ROI may follow a J-curve.
How Datarella Helps Businesses Navigate This Future
At Datarella, we’ve spent years helping organizations move beyond AI hype and pilot purgatory. Our expertise in AI agent development and security, full-stack application modernization, Web3-enabled decentralized solutions, and privacy-preserving data architectures directly addresses the challenges outlined above.
Whether you need:
- Secure, production-ready autonomous agents
- Data platforms that make AI reliable and compliant
- Integration of AI into legacy systems without the usual friction
- Or decentralized approaches that enhance trust and data integrity
We combine deep technical capability with practical business understanding to help you safely and scalably embrace AI’s weirdness.
The future of AI in business isn’t about replacing your IT department or betting everything on chaos. It’s about evolving how your organization learns, decides, and creates value—by treating AI as the strange, powerful tool it is, while building the data, governance, and cultural foundations it demands.
Ready to move from pilots to production without letting AI “die in IT”? Let’s talk. Contact Datarella to explore how we can help you capture the real, pragmatic upside of AI in 2026 and beyond.
by Michael Reuter | 8 July 2024 | AI, Blockchain, Featured
In the digital transformation era, the concept of digital twins has gained significant attention. Meanwhile, companies are creating virtual replicas of physical objects or systems, enabling real-time monitoring, analysis, and optimization. However, as the reliance on digital twins increases, it becomes clear that robust digital twin security measures are needed to ensure authenticity and trustworthiness. Consequently, our innovative approach secures digital twins with cutting-edge event-tracking technology.
Cyber-Physical Trust: The Future of M2M Communication
We’re revolutionizing the security landscape by integrating blockchain technology and M2M communication to provide trust and authenticity. In addition, blockchain technology ensures the integrity and transparency of digital twins, enabling secure interactions between machines and humans. As a result, we envision a future where cyber-physical trust becomes the standard, surpassing traditional processes. Notably, this shift will have a significant impact on the way we approach security.
Firm-Specific Track & Trace Tools
We empower companies to create applications without requiring extensive technical knowledge. Specifically, our SDK seamlessly integrates into existing infrastructure and embeds the digital twin with necessary code for secure interactions. Furthermore, we provide comprehensive setup guides and API references for smooth onboarding. Meanwhile, developers can choose their desired authentication hardware, extract the required code, and embed it into the app environment. Subsequently, our system tracks digital twin usage, maintaining high security. In the future, we plan to implement additional business logic via smart contracts, enabling data provision and payments. Additionally, event tracking creates an immutable record for decision-making.
The Future of Trust and Authenticity in Digital Twin Security
To summarize, digital twins are essential for real-time monitoring, analysis, and optimization of physical objects. As their use increases, it becomes clear that robust security measures are needed. In response, our innovative approach secures digital twins with advanced event-tracking technology, integrating blockchain and M2M communication to ensure trust and authenticity. Moreover, we provide an SDK that integrates into existing infrastructure, allowing companies to create secure applications easily. Ultimately, our system tracks digital twin usage to maintain high security, with plans for smart contracts and payments. In conclusion, event tracking creates an immutable record for informed decision-making.
by Michael Reuter | 25 June 2024 | AI, Blockchain, Featured, Ocean Protocol
The transition from Web2 to Web3 represents a significant shift in how we manage and control information online. Web3 offers a potential solution to issues like privacy, surveillance, and misinformation by utilizing blockchain technology. This technology gives users more control over their data. Together, AI and Blockchain can be even more powerful.
However, user friction has slowed Web3’s adoption. To accelerate adoption, we can integrate AI and blockchain technology. Consequently, this integration improves the user experience and reduces user friction. Additionally, decentralized AI built on blockchain can offer users personalized online experiences while protecting their privacy and control over their data.
Blockchain and AI are complementary technologies that address each other’s limitations. Specifically, blockchain’s built-in consensus protocol ensures data accuracy and integrity because it verifies data at multiple points. When AI is trained on flawed data, it produces flawed results. Therefore, we can design blockchain platforms to distribute power more evenly, reducing the risk of a few AI companies or models making opaque but consequential decisions. To leverage the power of AI and blockchain cohesively, we must overcome technical challenges. Next, we can track the co-development of these two technologies by examining their progression in three phases:
Data, Information, and Knowledge
Meanwhile, AI can accelerate Web3 adoption by offering personalized experiences based on user prompts. For Web3 to go mainstream, the next generation of consumer-facing applications must match the user experiences of Web2. To achieve this, we must prioritize personalization, which optimizes marketing spend. Decentralized knowledge graphs – as they are developed in the Artificial Superintelligence Alliance ASI – may be the key to bringing personalized experiences from Web2 into Web3. Knowledge graphs map relationships between objects, facts, events, situations, and other data. In addition, we can make knowledge graphs more accessible and verifiable by using decentralized knowledge graphs and open, permissionless blockchain networks. By integrating AI and Blockchain, we can create a foundation for Web3 built on trustworthy data. As a result, this new decentralized internet addresses issues prevalent in our current centralized internet.
AI and Blockchain Together Improve Internet Governance
- Decentralization: Web3 is built on blockchain technology, which is decentralized and transparent. We can use AI to ensure that data is stored and processed securely and transparently, reducing the risk of a single entity controlling or manipulating data. In this way, we can promote a more democratic and equitable Internet governance.
- Trust and Transparency: AI verifies the authenticity and accuracy of data on the blockchain, ensuring that information is trustworthy and transparent. With this information, users can make informed decisions and reduce the spread of misinformation. Moreover, AI can detect and prevent malicious behavior, ensuring that the internet remains a safe and trustworthy environment.
- Autonomy and Agency: Web3’s decentralized architecture and AI’s ability to automate decision-making processes empower users to take control of their personal data and online experiences. Users can then make choices that align with their values and preferences. Consequently, users have more autonomy and agency over their online experiences.
- Security and Privacy: AI detects and prevents cyber threats, ensuring that Web3 applications are secure and private. By doing so, AI protects users’ sensitive information and prevents unauthorized access or manipulation. Additionally, AI optimizes Web3 applications, enabling them to scale efficiently and process vast amounts of data in real time.
- Scalability and Efficiency: As a result of AI optimization, the internet’s overall performance and responsiveness improve. Furthermore, AI helps design and optimize token-based incentive systems that encourage desired behavior and promote a healthier internet ecosystem.
- Data-Driven Decision-Making: AI analyzes data generated by Web3 applications, providing insights that inform data-driven decision-making. With these insights, we can make decisions based on objective data rather than personal biases or assumptions. Therefore, we can make more informed decisions that benefit users.
- Accountability and Governance: AI ensures accountability and transparency in Web3’s decentralized governance models by detecting and preventing malicious behavior. As a result, the internet remains a safe and trustworthy environment.
In conclusion, by combining AI and Web3, we can create a more decentralized, transparent, and secure internet that prioritizes user autonomy, privacy, and agency. We can make decisions based on objective data and respond more effectively to the needs of users. Ultimately, this new decentralized internet can promote a healthier and more equitable online ecosystem.
by Kira Nezu | 25 April 2024 | Blockchain, Featured, Track and Trust
In this article, we explore how the Track & Trust system ensures predictive maintenance in offline environments, enabling organizations to maintain equipment efficiently even without internet connectivity.
In today’s industrial landscape, predictive maintenance is crucial for efficiency and reducing downtime. However, challenges arise when equipment operates in areas with limited or no internet. This is where Track & Trust steps in, enabling predictive maintenance online, even in offline environments.
Bringing Predictive Maintenance Online, Anywhere
Track & Trust uses a mesh network to collect data from sensors and machinery in offline environments. Once collected, the system sends this data to a device with internet connectivity. From there, it integrates into the operational data infrastructure. As a result, organizations can access real-time insights despite any connectivity challenges.
Enhancing Asset Reliability and Efficiency
Track & Trust enables predictive maintenance in offline environments, helping organizations reduce breakdowns. Moreover, it minimizes reactive maintenance for machinery without internet access. This is particularly beneficial in industries like smart mining, asteroid mining, and smart farming. In these industries, connectivity limitations are common. With Track & Trust, organizations can proactively address equipment issues, reduce downtime, and optimize operational efficiency.
Empowering Industries to Thrive
Track & Trust acts as a catalyst for industries aiming to enhance their capabilities in offline environments. In addition, it bridges the gap between offline monitoring and online systems. Therefore, organizations can make data-driven decisions and improve overall asset reliability.
Key Takeaways
In an era where connectivity is not always guaranteed, Track & Trust offers a reliable solution for bringing predictive maintenance online, even in offline environments. Through its seamless integration of offline monitoring with online systems, organizations can gain real-time insights. Consequently, they can drive operational efficiency even when facing connectivity challenges. As industries continue to evolve, Track & Trust helps them stay ahead of the curve, maximizing operational performance.
Track & Trust is funded by the European Space Agency. It is a joint development project by Ororatech, Weaverlabs, and Datarella.
by Kira Nezu | 8 April 2024 | Blockchain, Featured, Gaia-X, Partnerships, SSI, Track and Trust
Datarella’s Blockchain Solutions for Supply Chain Management: Streamlining CSDDD Compliance
Datarella has been at the forefront of deploying blockchain solutions for supply chain management. The introduction of the European Union’s Corporate Supply Chain Due Diligence Directive (CSDDD, or CS3D) presents a significant regulatory milestone. This article examines the directive’s implications and showcases how Datarella’s blockchain technology offers a streamlined path to compliance for businesses.
What is the EU Corporate Supply Chain Due Diligence Directive (CSDDD)?
The CSDDD is a critical component of the EU’s strategy to enhance supply chain sustainability and ethics. It mandates companies to actively prevent human rights and environmental abuses within their supply chains. The directive sets forth a phased compliance timeline, with larger corporations facing earlier deadlines. By 2028, entities with over 1,000 employees and a net worldwide turnover exceeding 450 million EUR must adhere to the directive. Non-compliance penalties could reach up to 5% of global turnover.
Navigating CSDDD Compliance with Blockchain Technology
Many companies are uncertain about how to address these new requirements. The answer lies in robust reporting, backed by verifiable data. Traditional compliance methods might overwhelm businesses with paperwork and lead to inefficiencies. However, blockchain technology presents a solution: by digitizing and securely logging every transaction and document in the supply chain, blockchain can simplify the compliance process.
How Blockchain Simplifies Compliance
Unlike traditional methods reliant on paperwork, blockchain ensures secure, transparent tracking of transactions. This technology can reduce the compliance burden by offering secure data storage and easy accessibility. Since records on the blockchain cannot be modified, it ensures data integrity and accurate documentation for compliance purposes. Integrating blockchain with digital identity solutions like the vLEI and the EU Digital Identity Regulation further strengthens this process. Companies can easily verify responsibilities and transactions, making blockchain an essential tool for CSDDD compliance.
Datarella’s Expertise in Blockchain for Supply Chain Management
Datarella has an impressive track record in implementing blockchain solutions to address complex supply chain challenges. From facilitating blockchain-based document handovers in humanitarian contexts to ensuring the integrity of 3D-printed parts for global suppliers, Datarella’s innovative projects demonstrate our expertise. Our involvement in initiatives like the Gaia-X consortia (ESCOM and Cosmic-X) and the European Space Agency’s Track & Trust initiative shows our commitment to advancing blockchain technology for supply chain management.
Partnering with Datarella for CSDDD Compliance
As the EU moves toward greater supply chain accountability, partnering with Datarella can help businesses navigate the complexities of CSDDD compliance. With our blockchain solutions, we not only help companies meet regulatory requirements but also drive efficiency and transparency. Choosing Datarella means collaborating with a leader in blockchain innovation, ready to transform today’s challenges into tomorrow’s successes.
The Future of Supply Chain Management with Blockchain
The CSDDD represents a pivotal shift towards responsible supply chain practices within the EU. For companies aiming to align with these new regulations, Datarella’s blockchain solutions offer a practical and efficient path to compliance. As the regulatory and business landscapes evolve, Datarella remains dedicated to empowering companies with the technology and expertise they need to thrive in this new era of supply chain management.
Interested in simplifying your CSDDD compliance with blockchain technology?
Contact us to learn more.
*On Feb. 29, 2024, the EU voted positive on the Digital Identity Regulation, paving way for EU citizens to truly own and control their data – a step towards secure, decentralized applications within the EU.
by SPR | 25 August 2023 | Autonomous Agents, Blockchain, Events, Featured, moveID, Partnerships, SSI
The Convergence of AI and Web3 in Decentralized Mobility Solutions
As noted by the venture capital firm Andreessen Horowitz, AI and Web3 are converging technologies that leverage decentralized networks, self-sovereign identities (SSI), autonomous agents, and machine learning. These innovations enable new business models and streamline business processes, particularly in the realm of decentralized mobility solutions. A crucial success factor lies in integrating these technologies with existing business processes. Collaboration between innovative AI and Web3 startups and established industry leaders is essential for driving impact and fostering innovation.
At IAA Mobility, AI and Web3 startups collaborate with industry players and universities in the moveID consortium. They are showcasing a state-of-the-art smart city solution called MOBIX Park & Charge. To meet the project’s goals, positioning innovative cutting-edge solutions is vital. These solutions leverage data to redefine the technological landscape, heralding a data-driven revolution. The synergistic trio of Fetch.ai, a long-time partner of Datarella, along with peaq and Ocean Protocol as moveID partners, is making significant strides forward. This initiative is further supported by solution providers and integrators like Datarella, DeltaDAO, 51Nodes, and university teams from htw saar and Zeppelin University.
Fetch.ai: Bridging AI and Blockchain
Datarella partner Fetch.ai seamlessly combines artificial intelligence (AI) with blockchain technology, unlocking new possibilities across various sectors. These possibilities include autonomous machine economies, smart cities, and efficient resource management. The Fetch.ai platform provides a decentralized infrastructure for Microagents capable of executing tasks autonomously.
In the context of MOBIX Park & Charge, Microagents act as bridges between different software components on edge devices. This setup enables autonomous control over various systems, such as traffic lights.
Microagents in Action
Fetch.ai Microagents serve as multifunctional intermediaries. They communicate and initiate processes in external systems, handling complex tasks like:
- Managing crypto wallets
- Ensuring secure payment transfers
- Verifying events
- Controlling access to hardware such as gates, traffic lights, and chargers
In essence, Fetch.ai Microagents automate tasks on behalf of human clients, streamlining processes and enhancing efficiency. These functionalities contribute significantly to the development of decentralized mobility solutions.
peaq: Empowering the Economy of Things
As automation surges, the peaq network emerges as a key player in sharing its benefits with everyone. It fosters the Economy of Things by establishing a crucial layer-one blockchain infrastructure for decentralized mobility applications.
Peaq’s technology stack and economic incentives enable the development of applications for machines in this emerging economy. For instance, it powers electric vehicle (EV) charging applications. The peaq token fuels the entire ecosystem, facilitating digital identities for machines and enabling seamless payments.
In MOBIX Park & Charge, peaq allows communication with charging points, using peaq tokens to initiate and pay for EV charging processes.
Ocean Protocol: A New Data Economy
Ocean Protocol aims to unleash its potential for individuals and organizations alike. It empowers secure data sharing (Compute-to-Data), selling, and monetization while ensuring control and privacy. Users retain the power to determine who accesses their data and how it is used.
This establishes a novel paradigm in the data economy, especially for AI models in the mobility sector. In MOBIX Park & Charge, Ocean Protocol integrates its decentralized data marketplace technology. This facilitates sovereign and privacy-preserving data exchange within mobility applications.
Key Components of Ocean Protocol
Key components of Ocean’s data pricing mechanisms include Compute-to-Data and a Gaia-X-compliant Self-Sovereign Identity (SSI) approach. Additionally, Ocean solution provider DeltaDAO collaborates to implement the Ocean Tech Stack. In future versions of MOBIX Park & Charge, the goal is to simplify data sales for IoT devices. These devices will automatically sell data directly on the Ocean Marketplace or through Compute to Data. Fetch.ai agents possess built-in intelligence, allowing IoT devices in cars to decide when and how to post data to the Ocean Marketplace based on traffic situations.
Conclusion: Paving the Way for a Data-Driven Future
The versatile infrastructure of peaq, the automated decision-making capabilities of Fetch.ai’s Microagents, and Ocean Protocol’s sovereign data exchange mechanism synergistically converge to facilitate MOBIX Park & Charge. As we stride toward a data-driven future, these technologies pave the way for decentralized mobility solutions that could profoundly reshape mobility.
by Martin Schäffner | 3 August 2023 | Blockchain, Featured
Datarella is happy to announce that Deniz Yavas is joining as a Blockchain Working Student. He is a technology enthusiast with a keen interest not only in the technologies themselves but also in their broader societal, environmental, and economic implications. Please welcome him on August 1st, 2023 as part of the Datarella team.
Deniz Yavas: “Hi everyone! My name is Deniz, and starting in August 2023, I am thrilled to join Datarella as a working student.
In today’s world, trust seems to be lacking due to non-transparent processes and companies. It is disheartening to witness instances where power is misused, and user/consumer privacy is not given the importance it deserves. That is why I am a staunch advocate of blockchain technology.
Blockchain presents an extraordinary opportunity to shape a future that is more efficient, transparent, and decentralized. It has the potential to revolutionize business operations, making them more streamlined and secure. Additionally, blockchain empowers individuals and consumers to reclaim control over their privacy. What’s more, it enables democratization, ensuring equal access and opportunities for all. However, we have only scratched the surface of blockchain’s potential, and its full capabilities are yet to be realized.
Working with Datarella and their impressive portfolio of projects, I am eagerly looking forward to expanding my knowledge in this domain. Being part of their team will provide me with invaluable hands-on experience and exposure to the forefront of blockchain innovation.
I am excited to embark on this journey with Datarella and contribute to their remarkable work in shaping a better future.”
by Rebecca Johnson | 2 August 2023 | Autonomous Agents, Blockchain, Featured, Ocean Protocol
Big data has broken privacy. We’ve built a way to solve this problem and create business intelligence while preserving user privacy. This post dives into how we are automating private business intelligence.
Introduction to Ocean Protocol’s decentralized data marketplace
The Ocean Protocol is a decentralized data exchange protocol that aims to unlock the value of data and enable secure and privacy-preserving on-chain data sharing and monetization ⛓️. It provides a framework for building data-centric applications that facilitate the exchange of data assets while ensuring data privacy, security, and compliance.
The Ocean Protocol marketplace is the heart of the entire Ocean Protocol ecosystem. These data sets can be bought and sold along with access to computation on those data. What Uniswap did for Finance, Ocean Protocol is doing for data. Ocean goes beyond just merely trading data in the clear though and makes it possible to order computation on data you never see and get actionable results while maintaining data privacy and secrecy. That in many ways is the holy grail of data privacy and security!
The Ocean Protocol approach to data markets is already gaining substantial traction in industries through the MoveID consortium and GAIA-X where Datarella is a partner. Specifically, there are already industry focused GAIA-X compliant Marketplaces utilizing Ocean protocol already released in the wild (see Pontus-X)
Fetch.ai Agents + Ocean Protocol: A Perfect Match
Switching gears, you may have also heard of Fetch.ai. It provides a next-generation protocol enabling a digital world where Autonomous Economic Agents and Microagents can perform proactive economic activity. AEAs have some unique attributes. Fetch Agents (AEAs) can find resources on their own, they have private keys so they can transact autonomously, and, more importantly, they can decide to execute business logic autonomously based on their programmed skills and behaviors. AEAs are perfect for delegating on-chain tasks that you need to make sure actually happen technically but don’t want to have to handle manually. A great example of this is the stop loss agents that Fetch.ai has released in order to allow people to provision liquidity on DeFi protocols autonomously. Another real-life use case is the kind of behavior that we demonstrated with MOBIX at the International Automobile Show (IAA) in 2021.
In that context, we demonstrated how an Autonomous Economic Agent, running on an edge device and accessible through a specialized version of the MOBIX app, could enable privacy-preserving ad workflows. That sounds super complicated, but its utility is really simple.
Smart Recommendations without Data-Lake-Honeypots
Consumers have come to expect really smart recommendations in their apps based on their current context and previous actions. We’ve come to take this for granted everywhere. It extends from the autocomplete suggestions in your search field to Netflix recommendations to mobility recommendations embedded in scooter rental apps. There’s a shadow side of this intelligence though. Simply put, in order to offer that kind of intelligence someone is invariably building a vast data lake full of your user data to power those convenient algorithms. We all know that this kind of data accumulation has massive privacy ramifications, not to mention the security risks associated with those giant data-lake-honeypots. By connecting Fetch.ai Autonomous Economic Agents with Ocean Compute to Data workflows and the Ocean Marketplace we are laying the cornerstone for enabling that kind context aware convenience without sacrificing any user privacy.
Moreover, outside of the consumer sector in the world of IoT devices, this code makes it really convenient for any number of machines to automatically sell their data either directly on the Ocean Marketplace or via Compute to Data! AEAs have a certain amount of built-in intelligence. This enables IoT devices from cars to weather stations to decide, based on their situation, when and how to post the data to the Ocean Marketplace for sale. Additionally, it allows consuming devices to autonomously search out and purchase the data that they need. Together, this approach provides the basis for autonomous adaptive machine learning without having to own your own ample data sets.
Privacy-Preserving Prediction Engines
TLDR: By enabling Fetch Agents to post data to Ocean Marketplace Compute to Data recommendation engines can be driven without violating privacy.
Datarella has joined forces with Fetch.ai and Ocean protocol over the last few months to build an Ocean Connection Agent to take private data available to itself, store it confidentially, and then spin up a fixed-rate exchange on the Ocean Market or with compute to data enabled as shown in the previous figure. You can imagine that in the near future, this might be your current location data or data about your preferences or searches performed locally within an app (the MOBIX app for example). This data never leaves the sovereign control of the user and the user doesn’t have to worry about handling or organizing or authorizing the data because the AEA does that on behalf of the user well, autonomously! The same applies to companies running AEAs on IoT devices too. You might be asking now why this is even beneficial. It’s useful because it solves the problems associated with those vast data lakes that are driving the recommendation engines behind all sorts of “smart” services.
The Solution for Automating Private Business Intelligence
Ocean Marketplace is an open-source decentralized market that you can fork to develop your own marketplace. It comes equipped with all the features right out of the box. The “Compute to Data” part enables the person, or in this case, AEA is posting the data to stipulate that it cannot be downloaded in the clear – but rather that you’re selling the results of selected algorithms which you or your agent will run (automatically) against the private data on behalf of a purchasing entity (person or AEA). They get the results of the computation – the basis for those context-aware recommendations, but they don’t have the opportunity to abuse the data because they never actually see it despite gaining actionable business intelligence based on the contents of said data. That’s what we mean by “Automating Private Business Intelligence”.
The world we’re building is one where your data remains yours but the results of computations on your data will enable a host of new context-aware smart services that respect your privacy by design but still feel like magic. Bringing the unique properties of the Ocean Marketplace together with Fetch.ai Agents means for the everyday person that it’s increasingly going to be possible that you can have your cake and eat it too. You won’t have to choose between amazing functionality and privacy – you’ll be able to have both – and get paid for it. Your data – your profits!
Developer Resources
If you’re a developer and want to dive into the code there are two spots you’ll want to check out. First of all, you’ll find the code open-sourced on github here. Additionally, if you’re already an AEA developer you’ll want to check out the package in the AEA registry. In the near future, we’re also planning to release the Storj AEA but for now, you can take any S3-compatible storage you choose. Let’s start automating private business intelligence generation!
by Michael Reuter | 24 July 2023 | Blockchain, Featured, Gaia-X, moveID, SSI
moveID, the identity-focused project within the Gaia-X 4 Future Mobility family, unveils the MOBIX app, its live demonstrator at the IAA MOBILITY 2023. MOBIX allows for peer-to-peer parking and EV charging and IAA Mobility visitors can experience a first glimpse of its vision of a decentralized mobility service ecosystem.
The demonstration involving Tesla and Jaguar electric vehicles will allow the visitors to experience the moveID’s vision of a vendor-neutral open ecosystem of data-driven mobility services with integrated payment capabilities. The live demo will show how autonomous transactions between connected devices streamline expenses and add new revenue streams.
In preparation for the big event, several moveID consortium members, namely BOSCH, DENSO, ITK Engineering,peaq, htw saar, Ocean, and 51Nodes, have met for integration workshops in the Datarella offices in Munich. The goal of the first integration workshop was to connect the different software and hardware components provided by the partners and test the first set of workflows for the IAA demo from a user’s perspective. Datarella was entrusted with the planning and organization of the event as well as the integration of the different workflows into a seamless user experience via the MOBIX app.
The critical path that was completed, included three workflows, namely issuance of a Verifiable Credential to a vehicle, access to a parking space via a Verifiable Presentation to a Signal Head, and checkout of a parking space via a Verifiable Presentation to a Signal Head. The workflows are enabled by state-of-the-art Self-Sovereign Identity (SSI), Vehicle-to-Everything (V2X) as well as Fetch.aI micro-agent technology, all controlled via the MOBIX mobile application.
“Leveraging our long-time partner Fetch.ai’s micro-agents to connect different technologies and seeing the distilled result of the agent’s work in our MOBIX app is living proof of the power of the moveID tech stack,” says Datarella CEO Michael Reuter.
While the demonstration focuses on the mobility industry, the business model behind it can be implemented in a wide array of industries, such as Public-to-Private power grid interplay and smart supply chain management. The moveID project invites all stakeholders in the EV charging ecosystem to participate and make their charging solution part of the overall charging network. If you are interested in test drives, please contact our IAA Mobility team!
