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  • Writer's pictureMeirav Peleg Landau

Bridging the Gap and Turning Potential into Practice with Advanced Technologies

Updated: Jan 23

MPL Innovation work

Let’s start with a well-known example: email communication. In the early days of email, while the underlying infrastructure and protocols existed, email needed to be implemented within software applications to provide a user-friendly interface and enable the exchange of messages. The technology itself was not sufficient on its own to facilitate communication between individuals and organizations.

Applications like Eudora, Outlook, and Lotus Notes were developed to effectively utilize email technology. These software applications provided the necessary functionality to compose, send, receive, and organize email messages. They integrated email technology, making it accessible to users and allowing them to harness its benefits for communication purposes.

In today's technological landscape, terms like Artificial Intelligence (AI), Blockchain, and Quantum Computing have become commonplace. However, many people still hold misconceptions about these technologies, often perceiving them as standalone entities with inherent powers. In reality, AI, Blockchain, and Quantum Computing, all examples of advanced technologies, are tools that need to be properly implemented within applications and software to unlock their true potential. This article aims to explain to non-technical individuals from the financial and insurance industries, how these technologies operate in conjunction with relevant use cases, shedding light on their practical applications.

Artificial Intelligence (AI)

AI refers to the simulation of human intelligence in machines, enabling them to learn, reason, and make decisions. It encompasses various subfields such as machine learning, natural language processing, and computer vision. However, AI alone cannot function without being integrated into specific applications and software. Here are a few examples of AI in action:

a. AI-powered chatbots and virtual assistants provide personalized customer service, answer inquiries, and assist with basic transactions.

b. Financial institutions employ AI-powered systems to detect and prevent fraudulent activities by analyzing patterns and anomalies in transaction data.

c. AI algorithms can streamline and automate the claims processing workflow by analyzing documentation, validating information, and expediting the settlement process, leading to improved customer experience and reduced costs.


Blockchain is a decentralized and transparent digital ledger that securely records transactions across multiple computers. It can resist unauthorized modifications, alterations, or tampering and verifiable record of data. However, blockchain technology is not an end in itself but rather a foundational technology with numerous applications:

a. Blockchain technology can streamline and enhance the efficiency of finance trade transactions. In international trade, various parties are involved, including buyers, sellers, banks, and customs authorities. By implementing blockchain, a decentralized and transparent system, trade finance processes like letters of credit, documentation, and payments can be automated.

b. Insurance Claims Management

Implementing blockchain in insurance claims management can provide a secure and immutable ledger for recording and verifying insurance claims. All relevant parties, including insurers, policyholders, and third-party service providers, can access and update the claims data in real time, reducing fraud risks, enhancing transparency, and expediting claims settlement.

c. Know Your Customer (KYC) Processes regulations require financial institutions to verify and validate the identity of their customers. Implementing blockchain can create a shared and distributed ledger that securely stores customer identity data. This shared platform can streamline the KYC process by allowing institutions to access verified customer information, reducing duplication of efforts, and enhancing customer onboarding procedures.

Quantum Computing

Quantum computing maximizes the principles of quantum mechanics to perform complex calculations and solve problems that are beyond the reach of classical computers. However, quantum computers are still in their early stages of development and require practical implementation:

a. Quantum computing's ability to perform complex calculations can enhance risk modeling and enable more accurate scenario analysis, helping financial institutions make informed decisions and manage risk effectively.

b. Quantum computing's computational power can accelerate actuarial calculations and enable a more precise analysis of insurance risks and pricing models.

c. Traditional portfolio optimization involves complex calculations to determine the optimal allocation of assets in a portfolio. Quantum computing's ability to handle large-scale computations and analyze multiple variables simultaneously can provide more efficient and accurate optimization strategies, leading to improved investment decisions and potentially higher returns.

The Takeover

It is essential to understand that AI, Blockchain, and Quantum Computing are not standalone technologies with inherent capabilities. Rather, they are tools that thrive when integrated into specific applications and software systems. By recognizing the practical implementations of these technologies, we can appreciate their transformative potential in the finance and insurance sectors. Embracing these technologies with relevant use cases will drive innovation and shape our future in profound ways.


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