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The Impact of Embedded Insurance on InsurTech

Embedded insurance is reshaping the insurance industry, integrating coverage seamlessly into product purchases for enhanced convenience and simplicity.
This model offers customers insurance as part of a single transaction rather than through standalone policies, benefiting both consumers and insurers.
Embedded insurance expands distribution channels, reduces costs, and enhances customer experience through tailored solutions.
This trend promises to redefine the insurance landscape, driving market penetration and fostering innovation.
Technology plays a key role in enabling the integration of embedded insurance, with advancements like open APIs, AI, and cloud infrastructure driving efficiency and scalability.
Examples of embedded insurance implementation include partnerships in travel and hospitality, automotive innovation, adventure sports, and the electric vehicle industry.
AI-driven software in embedded insurance streamlines operations, enhances personalization, and optimizes customer experiences for greater efficiency and satisfaction.
As embedded insurance continues to evolve with AI integration, consumer demands will shape a new standard for innovation and operational excellence.
Collaborations between non-insurance players and insurers are expanding the reach of embedded insurance across various industries, transforming how insurance is delivered.
Embedded insurance is revolutionizing the insurance buying experience by simplifying procedures, increasing convenience, and aligning with consumer expectations.
Key technologies like open APIs, AI, and IoT integration are driving the growth of embedded insurance models, enabling insurers to deliver personalized and efficient services.

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Hackernoon

392

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AI Wants to Fix Your Network Before It Breaks—But Can You Trust It?

AI revolution is changing network management by automating decision-making and optimizing infrastructure.
AI in networks enables predictive maintenance, anomaly detection for security, and dynamic QoS for traffic prioritization.
In data centers, AI optimizes cooling, resource allocation, self-healing, and service establishment for increased efficiency.
Edge computing is gaining importance for AI workloads to reduce latency and bandwidth costs.
Challenges with AI implementation include data quality, complexity, and security risks like adversarial attacks.
Future trends include AI-native networking, optimized chips, and carbon-neutral data centers using AI scheduling.
AI is enhancing networks and data centers to be more efficient, but human supervision is still essential.
The future vision includes AI-driven architecture, self-healing systems, and AI-first chipsets.

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Digitaltrends

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Microsoft patches an ‘extraordinary’ number of zero-day security vulnerabilities

Microsoft has released a security update to address a number of zero-day vulnerabilities.
The patch covers Windows 10, Windows 11, and Windows Server, fixing six already exploited vulnerabilities and six critical flaws.
The vulnerabilities allow remote code execution and data access, with some requiring user interaction to exploit.
Microsoft advises system admins to urgently apply the patch, as the number of exploited bugs is considered 'extraordinary'.

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TechBullion

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Revolutionizing Enterprise Data Workflow Automation with AI and Cloud Computing

Enterprises are turning to workflow automation with AI and cloud computing to enhance efficiency and drive operational excellence.
AI-driven automation reduces manual processing time, improves process accuracy, and enables scalability in modern enterprises.
Cloud platforms play a critical role in enterprise automation by offering scalable infrastructure and real-time processing capabilities.
AI-driven security frameworks enhance data encryption efficiency and reduce cybersecurity threats in automated workflows.

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Dev

402

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Unlocking AI Power with DeepSeek on Amazon Bedrock Easily

AWS has introduced DeepSeek-R1 to Amazon Bedrock, a fully managed and serverless model for generative AI.
DeepSeek-R1 offers exceptional accuracy and contextual understanding with cost-efficiency, making it accessible for startups and large organizations alike.
The model can be easily integrated with Bedrock's unified API or customized further with SageMaker.
Use cases for DeepSeek-R1 include code generation, decision support, and data analysis.

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Medium

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Can Cloud Gaming Replace Traditional GPUs?

Cloud gaming offers the promise of making high-quality gaming more accessible by streaming games from remote servers.
The Graphics Processing Unit (GPU) in traditional gaming setups is responsible for rendering high-quality graphics and smooth frame rates.
Performance and customization are key areas where traditional GPUs have an advantage over cloud gaming.
Cloud gaming excels in cost-effectiveness and accessibility, while traditional GPUs can be expensive and consume a lot of power.

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3 Likes

Silicon

1.2k

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China Creates High-Tech Fund To Support AI, Tech Innovation

China has announced the creation of a state-backed fund to support AI, tech innovation, and emerging industries.
The fund, called the 'state venture capital guidance fund,' will focus on cutting-edge areas like AI, quantum technology, and hydrogen energy storage.
With a potential funding of nearly 1 trillion yuan ($138 billion) over 20 years, the fund aims to attract capital from local governments and the private sector.
China's move comes in response to mounting pressure from American tech restrictions and is seen as a step towards achieving semiconductor self-sufficiency.

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Digitaltrends

203

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Water-cooled ‘laptop’ can house desktop parts, because why not

A new Kickstarter project, Ultra High Performance Integration Liquid Cooled Laptop (UHPILCL) T1000, is aiming to redefine high-performance mobile computing.
The UHPILCL T1000 is designed to house standard desktop components such as mini-ITX motherboards, desktop-grade processors, and full-sized graphics cards.
It features a fully integrated open-loop liquid cooling system capable of dissipating up to 720W of thermal output.
The T1000 provides modularity, allowing users to swap out components and upgrade hardware for long-term viability.

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Dev

261

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AWS Multi-Account IaC Sandwich: Terragrunt, Terraform, CloudFormation

The article discusses creating a secure AWS multi-account management approach using Terraform, Terragrunt, and AWS CloudFormation StackSets.
It highlights the need for central IAM role provisioning across AWS accounts for infrastructure automation with strict security controls.
The solution involves CloudFormation StackSets for pre-provisioning IAM roles before using Terraform/Terragrunt for infrastructure deployment.
The article emphasizes a GitOps folder-based approach for environment structuring and role assumption using a layered strategy.
Key aspects include the structured IaC setup with organization-level management, environment-specific infrastructure, and shared variables.
The Terragrunt pathing pattern follows a structured model for environment-specific modules.
IAM roles are provisioned using CloudFormation StackSets, ensuring secure role assumption across different AWS Organizational Units.
Environment-specific configurations are managed in infrastructure-live, dynamically mapping account settings for seamless role assumption.
Terragrunt's DRY approach allows dynamic mapping of environments and automatic IAM role assumption based on folder structures.
Executing Terraform/Terragrunt involves assuming the correct IAM role for infrastructure provisioning and following best practices for security.

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15 Likes

Digitaltrends

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Google is getting serious about smart glasses, again

Google is in advanced discussions to acquire AdHawk Microsystems, a company specializing in eye tracking technology for smart glasses.
AdHawk's investors include Essilor Luxottica, the parent of Ray-Ban, as well as HP, Samsung, and Intel.
Eye tracking is a core component of XR gear like augmented reality glasses, and Google aims to incorporate this technology into its smart glasses.
Google's potential acquisition of AdHawk Microsystems signals its renewed commitment to developing smart glasses and competing in the market.

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Dev

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Implementing Chat History for AI Applications Using Azure Cosmos DB Go SDK

This article details the implementation of a chat history system using Azure Cosmos DB for Go applications with langchaingo.
Chat history is essential for storing and retrieving conversations, providing context for AI models like LLMs.
The chatbot application showcases basic operations like read, upsert, and integration with Azure Cosmos DB emulator for testing.
langchaingo framework offers pluggable APIs for various components including chat history, enhancing AI application development.
The backend of the chat application exposes operations via a REST API and incorporates chat history for LLM processing.
Azure Cosmos DB integration for chat history involves methods like AddMessage, Messages, and Clear for managing conversations efficiently.
The article also discusses testing procedures with Azure Cosmos DB emulator using testcontainers-go for quicker and cost-effective tests.
Proper data modeling is crucial for chat history requirements, considering aspects like metadata storage, data retention, and analytics.
Users are encouraged to explore the sample chatbot application and share their feedback on leveraging Azure Cosmos DB for Go applications.
Adhering to best practices in data modeling is advised, with references provided for further guidance on Azure Cosmos DB data partitioning.

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Digitaltrends

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The MacBook Air proves you don’t need AI to create a world class laptop

The review of the M4 MacBook Air indicates it is one of the best laptops available, scoring full marks and a five-star rating for its impressive features.
Despite lacking a standout AI system, the MacBook Air excels in areas like performance, build quality, quiet operation, keyboard, and trackpad.
The MacBook Air challenges the AI trend in laptops by showcasing excellence without relying on a cutting-edge AI platform.
Apple's Apple Intelligence is perceived as inferior to competitors like OpenAI’s ChatGPT and Microsoft’s Copilot.
The MacBook Air's success without a top-tier AI system defies the prevalent belief that AI is essential in creating exceptional user experiences.
The emphasis is placed on getting the fundamental aspects right in laptops, such as performance, longevity, build quality, rather than solely focusing on AI capabilities.
The lesson from the MacBook Air is that prioritizing core principles over flashy AI features leads to a better user experience in laptop usage and longevity.
Users are encouraged to assess whether a laptop meets their needs, affordability, and longevity, rather than being swayed by AI functionalities that may not significantly impact their everyday computing tasks.
The article suggests that Apple should continue concentrating on what users value most in laptops, emphasizing that excellent laptops can be created without sacrificing core features for AI innovation.
The M4 MacBook Air underlines the importance of considering practical requirements over AI hype when selecting a laptop that aligns with user needs and preferences.

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4 Likes

Digitaltrends

293

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Windows 10 security risks are now more of a reality for users

The percentage of Windows 10 usage has dipped below 60% for the first time.
Windows 11 usage is slowly increasing, with 38.2% of global users running the OS.
Windows 10 reaching end of life leaves devices vulnerable to cybersecurity threats.
Microsoft plans to offer a 12-month security extension for Windows 10 at a cost of $30.

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Tech Radar

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I test AI agents for a living and these are the 5 reasons you should let tools like ChatGPT Deep Research get things done for you

Deep Research by ChatGPT is a feature that gathers and analyzes information in detailed and insightful ways, offering tailored insights to user queries over time.
It excels in vacation planning, providing curated itineraries with hidden gems and local experiences, and offers specialized health information along with lifestyle and hobby guidance.
The tool simplifies complex subjects like quantum computing and historical influences like the printing press, catering to both curious learners and inquisitive minds.
Deep Research also aids in decision-making by comparing products like robot vacuums or offering beginner's guides to hobbies, making online shopping and skill acquisition less overwhelming.
While not free of errors and limitations due to internet dependencies, the tool stands out for its practical value and ease of use in navigating an overloaded digital landscape.
In a world of information overload, having a reliable assistant like ChatGPT Deep Research offers a valuable solution for accessing trustworthy and in-depth insights effectively.

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Digitaltrends

112

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The M5 iPad Pro launch may have less focus on feature upgrades

The M5 iPad Pro launch may have less focus on feature upgrades.
Upgrades for the upcoming M5 iPad Pro are expected to primarily come down to the M5 chip.
Apple is anticipated to save bigger feature overhauls for subsequent generations of the iPad Pro.
The launch of the M5 iPad Pro may be delayed until after the announcement of the M5 MacBook Pro.

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