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Agenda

The AI Pivot: From Products to [Life Management] Ecosystems in the Next Digital Epoch

The AI Pivot: From Products to [Life Management] Ecosystems in the Next Digital Epoch

Combined Session
Thursday, June 06, 2024 14:30—15:30
Location: B 05

"The AI Pivot" session at EIC 2024 offers a deep dive into the transformative journey from traditional product- and vendor-centric (digital) business models to robust, networked and agents based platform ecosystems in the AI-driven digital landscape. This transition marks a critical inflection point, heralding a new era where the confluence of technology, data, privacy and network effects reshapes industry paradigms and redefines the way we interact with the world.

12 years ago, KuppingerCole launched a Research Note decribing "Life Management Platforms" (LMP) as user-centric tools to support every-day tasks such as storage for sensitive documents and information, personal finance, investment and insurance management with high privacy and security standards. LMPs by definition were able to manage permissions and gave users control over their information sharing.

Since then, a number of such platforms were launched by different vendors and organizations covering parts or the whole set of features described in KuppingerCole´s research. Meeco has been and still is one of the first vendors of LMPs with a focus on financial applications.

A lot has changed since release of the KuppingerCole LMP paper: Decentralized Identity, Gen AI, Wallets, GDPR, eIDAS (2)... and more technologies, standards, governance frameworks and legislation came up since then and is about time to rewrite this profound part of research in the area of human-digital interaction.

Today we describe the former LMP concept as multi-agent based life management ecosystems that help us humans in all aspects of our daily life. They store our documents, buy our food online, navigate our vehicle, help us reducing the our CO2 footprint to a minimum, help us to stay healthy and to get wealthy, be productive at work or in school, manage our calendars propose holiday destinations and make appointments. We talk about agents we let do things for us within such Life Management Ecosystems in a privacy-by-design, secure by default, decentralized, vendor agnostic way. Globally.

A rough description of such an Ecosystem:

Decentralized and Self-Sovereign

Decentralization is a key aspect of these ecosystems, ensuring that no single entity has control over the entire system. This is achieved through the use of multi-agent systems, where multiple autonomous entities (agents) interact with each other to achieve their goals
These agents can share resources, including knowledge, information, contracts, trust, benefits, and goals
Self-sovereignty is another important aspect, where individuals have control over their own data. This is in line with the privacy-by-design principle, which ensures that privacy considerations and protections are embedded into the design and operation of the system

Multi-Agent AI and Edge AI

Multi-agent AI systems are used to simulate the simultaneous operations and interactions of multiple agents in an attempt to recreate and predict complex phenomena
These systems are used in many scientific domains including biology, ecology, and social science
Edge AI refers to the process of moving AI algorithms from the cloud and implementing them locally on a hardware device. The algorithms are run locally on the hardware device, allowing for real-time processing and decision-making, which is crucial for many applications in a life management ecosystem.

Wallets

(Global) Wallets are digital wallets that allow users to store and manage their digital identities, assets, and data. These wallets are designed to be secure and privacy-preserving, aligning with the principles of privacy-by-design and secure by default.

Privacy-by-Design

Privacy-by-design is a principle that ensures privacy is seamlessly integrated into products, services, and system designs by default
It promotes transparency about data usage, fostering accountability for how user data is collected, processed, and stored
This approach aligns with ethical principles by respecting user autonomy and promoting responsible data usage

Secure by Default

Secure by default means that products are resilient against prevalent exploitation techniques out of the box without added charge
These products protect against the most prevalent threats and vulnerabilities without end-users having to take additional steps to secure them
Vendor Agnostic
Being vendor agnostic means that the ecosystem is designed to work with technologies and applications from any vendor
This ensures interoperability, where multiple departments, systems, technologies, and applications work together for the same goal

eIDAS 2 Compliance

eIDAS 2 is a set of regulations in the European Union that govern electronic identification and trust services for electronic transactions. Compliance with eIDAS 2 ensures that the ecosystem adheres to the highest standards of security, privacy, and trust.

In conclusion, a multi-agent based life management ecosystem leverages a combination of advanced technologies and robust governance principles to provide a secure, privacy-preserving, and efficient system that can assist humans in various aspects of their daily life.

Katryna Dow
CEO & Founder
Meeco
Katryna Dow is the founder and CEO of Meeco; a personal data platform that enables people to securely exchange data via the API-of-Me with the people and organisations they trust ...
Martin Kuppinger
Principal Analyst
KuppingerCole
Martin Kuppinger is Founder and Principal Analyst at KuppingerCole, a leading analyst company for identity focused information security, both in classical and in cloud environments. Prior to...
John Wunderlich
Chief Privacy Officer
JLINC Labs
John Wunderlich is a data protection professional and expert witness who has worked and consulted about privacy, data protection, and security for over 20 years in multiple jurisdictions. He has...
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