Artificial Intelligence (AI) is helping businesses streamline their processes, procedures, productivity and customer experience – giving customers more individualized interactions.
But AI systems today suffer from data centralization and opaque decision-making models that raise trust and security concerns. Blockchain networks offer a way out by dispersing AI’s power across their network while creating immutable records that enable safe computing practices.
Real-time Monitoring of Perishable Goods
Blockchain is a distributed ledger technology that has transformed data security and transparency. Since its application to various industries, its market size has far outshone that of cryptocurrency.
AI refers to computing systems that emulate human intelligence by mimicking learning behaviors and recognizing patterns within data, making decisions or predictions based on this analysis.
Blockchain and AI enable businesses to track perishable products from end-to-end, including berries, seafood, pharmaceuticals, medical devices and chemicals – from production all the way through delivery – so as to monitor and protect investments while guaranteeing customer satisfaction.
Blockchain’s immutable records can also provide AI models with extra layers of protection, increasing trust in their decision-making processes and results.
Smart Contracts
Insurers can expand their product offering with smart contracts – programs stored on blockchain that automatically execute when certain conditions are met and provide a verifiable record of transactions – by taking advantage of smart contracts. Smart contracts allow insurers to offer affordable contingency-based insurance policies for risks which would otherwise be too costly to cover individually.
AI and Blockchain combine to streamline claims processing, minimizing delays and disputes while increasing customer satisfaction and building trust. Intelligent chatbots powered by AI-powered chatbot technology can handle complex queries instantly providing instantaneous support to customers.
As well, machine learning algorithms can quickly process vast data sets from telematics, IoT devices, social media sites such as Facebook or Instagram, drones, third-party external systems such as MIB or DMV to perform effective fraud detection. All this information is then stored on Blockchain technology which prevents information being deleted or edited by unintended parties – an improvement over existing methods which rely heavily on human intervention which may lead to errors and bias.
Trust and Security
Blockchain technology enables an immediate, shared, transparent exchange of encrypted data to multiple parties simultaneously – creating new efficiencies and opportunities within supply chains. For example, loan applications submitted digitally may benefit from sharing their information within a blockchain that all parties trust – streamlining the process as part of the loan application.
AI algorithms can analyze data to detect any suspicious activities; for instance, if an investor suddenly invests ten times more than usual, the AI would recognize this suspicious behaviour and take preventative steps accordingly.
Insurance firms that implement a strategic plan to leverage these technologies and transform their business will find success, but this requires an extensive cultural shift which relies heavily on senior leadership commitment to innovation. They should have an established roadmap and prioritize adopting these technologies across functions such as HR and learning and development to maximize their value.
Data Sharing
As Blockchain and AI come together, businesses find it easier to share data without relying on intermediaries – helping ensure all parties involved work with accurate, up-to-date information.
As an example, when perishables travel from farm to supermarket, any changes in temperature or humidity will set off an alert in the chain, ensuring their products stay in optimal conditions during transit and allowing end consumers to track where their food is and identify any problems along its journey.
Insurers can utilize machine learning and AI technologies such as generative AI to streamline compliance monitoring and fraud detection processes, increasing productivity while decreasing costs in highly regulated industries like insurance. Blockchain provides immutable data sources that prevent bias within AI models; this enables more factually accurate decisions and leads to new business models.