Thank you for visiting my humble profile blogtheristo 6.0 !
My mission as an AI Engineer with the Lifetime World initiative is to fight climate change, erosion, and droughts.
Lifetime Oy Ltd. is AI innovation Go-To Powerhouse. We deliver Lifetime Firehorse Product Line, Consulting, tailored Solutions and Strategic Cloud & Sustainability Services.
Lifetime on tekoÀlyinnovaatioiden johtava asiantuntija ja edellÀkÀvijÀ. Kattavaan tarjontaamme kuuluvat Lifetime Firehorse -tuoteperhe, rÀÀtÀlâidyt ratkaisut, tekoÀlykoulutukset, asiantuntijakonsultointi sekÀ strategiset pilvi- ja vastuullisuuspalvelut.
The focus of Lifetime World and its lively community at onelifetime.world is to build and publish new solutions that mitigate the effects of climate change.
Lifetime World AI Solutions are developed using Agentic AI, Multiple Foundation Models, and Quantum Simulation, all powered by the Cloud. Solutions are built as agents, applications for iOS and Android, based on Cloud Native Application development principles and technologies.
The Software AI Engineering team at Lifetime Studios loves innovating and building software solutions for the electrification age.
Lifetime Consulting and its specialists are your corporate NIS2 compliance partner. Our specialists are available from Lifetime Consulting to advise, mentor, coach, build, and transform.
Lifetime Fleet is our human-oriented service model where we advise, mentor, coach, build, and transform one-on-one and with AI while offering you travel to your destination (for example, to the airport). While onboard, you may have a one-on-one mentoring session, a team meeting, or perhaps one of our arranged business meetings (a discussion with an investor we bring to your project).
Check out Lifetime Fleet from lifetime.fi/fleet
In the heart of nature's symphony lies the delicate balance that sustains life. Yet, human actions have disrupted this harmony, causing climate change, erosion, and drought to ravage our planet. Lifetime World is a global movement and community with Lifetime H2AIQ solutions dedicated to environmental stewardship.
Renewable energy stands as a beacon of hope, united in the mission to protect Mother Earth.
We are looking for senior professionals who share our mission. See https://onelifetime.world and join the advisors.
In the heart of nature's symphony lies the delicate balance that sustains life. Yet, human actions have disrupted this harmony, causing climate change, erosion, and drought to ravage our planet. Lifetime World, a global community with Lifetime H2AIQ solutions dedicated to environmental stewardship, stands as a beacon of hope, united in the mission to protect Mother Earth.
Aurora Foundation Model: Aurora is a large-scale foundation model of the atmosphere, trained on over a million hours of diverse weather and climate data. It produces operational forecasts for various atmospheric prediction problems, including those with limited training data, heterogeneous variables, and extreme events. Aurora can generate 5-day global air pollution predictions and 10-day high-resolution weather forecasts in under a minute, outperforming state-of-the-art classical simulation tools and specialized deep learning models.
DeepSpeed4Science: This Microsoft initiative aims to build unique capabilities through AI system technology innovations to help domain experts unlock significant scientific mysteries. It supports various scientific models, including those for climate science, energy systems, and material discovery. DeepSpeed4Science provides new training and inference technologies tailored to accelerate scientific discoveries, which could be beneficial for hydrogen renewables processes.
Scientific Foundation Model (SFM): The SFM aims to create a unified large-scale foundation model to empower natural scientific discovery by supporting diverse inputs and multiple scientific domains, including energy systems. This model can handle various computational tasks and is designed to support scientific discoveries across different fields.
ClimaX: ClimaX is the first foundation model designed to perform a wide variety of weather and climate modeling tasks. It can absorb many different datasets with different variables and resolutions, potentially improving weather forecasting. This model could be useful for predicting weather conditions that affect renewable energy production.
These models leverage advanced AI techniques and vast datasets to provide accurate predictions and insights, which can be crucial for optimizing hydrogen renewables processes.
Here is a usability summary of the foundation models relevant to transforming energy into hydrogen-based renewables:
Physics-Based Models:
Usability: These models simulate the fundamental physical and chemical processes within an electrolyzer cell. They are highly useful for optimizing cell design, predicting performance under different operating conditions, and improving efficiency. Tools: Libraries like OpenFOAM or COMSOL Multiphysics are commonly used. Strengths: Provide detailed insights into the physical and chemical processes, enabling precise optimization. Challenges: Require significant computational resources and expertise in physical and chemical modeling.
Power System Modeling Tools:
Usability: These tools simulate the integration of variable renewable energy sources (like wind and solar) with hydrogen production systems. They help ensure grid stability and optimize hydrogen production based on renewable energy availability. Tools: DER-CAM (Distributed Energy Resources - Customer Adoption Model) or PLEXOS. Strengths: Useful for planning and optimizing the integration of renewable energy with hydrogen production. Challenges: Can be complex to set up and require detailed input data for accurate simulations.
Time Series Forecasting Models:
Usability: These models predict future renewable energy production (wind, solar), which can be used to optimize hydrogen production scheduling and grid integration. Tools: TensorFlow or PyTorch. Strengths: Capable of handling large datasets and providing accurate forecasts. Challenges: Require expertise in machine learning and access to historical data for training.
Hydrogen Infrastructure Models:
Usability: These models simulate the transportation and storage of hydrogen, helping to design efficient and cost-effective hydrogen distribution networks. Tools: GAMS (General Algebraic Modeling System). Strengths: Useful for planning and optimizing hydrogen distribution networks. Challenges: Require detailed input data and expertise in modeling transportation and storage systems.
Aragon Hydrogen Foundation:
Usability: Showcases projects involving modeling and automation for optimized hydrogen production and distribution. Website: Aragon Hydrogen Foundation Strengths: Provides practical examples and case studies. Challenges: May require adaptation to specific project needs.
These models provide a robust starting point for addressing various challenges in hydrogen renewables.
Data Availability: Ensure you have access to high-quality, relevant data for training and validating your models. This includes historical weather data, energy production data, and operational data from hydrogen production and storage systems.
Computational Resources: Foundation models often require significant computational power. Ensure you have access to adequate computational resources, such as cloud-based platforms or high-performance computing clusters.
Model Usability: Choose models that are user-friendly and can be easily integrated into your existing systems. This includes considering the ease of setting up and running simulations, as well as the availability of documentation and support. Model Adaptability: Ensure the models you choose can be adapted to your specific needs. This may involve fine-tuning pre-trained models or developing custom models tailored to your specific use cases.
Ethical AI: Consider the ethical implications of using AI in your solutions. This includes ensuring fairness, transparency, and accountability in your models and their outputs. Societal Impact: Evaluate the potential societal impact of your solutions, particularly in terms of how they affect different communities and stakeholders. This includes considering issues of equity and access, especially for marginalized communities.
Interdisciplinary Collaboration: Engage with experts from different fields, including environmental science, engineering, and social sciences, to ensure a holistic approach to your solutions. Research and Development: Stay updated with the latest research and developments in the field of foundation models and renewable energy. This includes participating in academic conferences, workshops, and collaborative research projects.
Performance Evaluation: Regularly evaluate the performance of your models using relevant benchmarks and metrics. This includes assessing their accuracy, robustness, and efficiency. Continuous Improvement: Continuously improve your models based on feedback and new data. This may involve retraining models, updating algorithms, and incorporating new techniques and methodologies.
By considering these factors, the team can build robust, efficient, and ethical Lifetime H2AIQ solutions, for example, transforming energy into hydrogen-based renewable solutions and services.
Since our inception, Lifetime World has embarked on a journey of environmental conservation, fueled by a profound belief in the interconnectedness of all living things. We recognize that our planet is not merely a resource to be exploited but a sanctuary to be cherished.
Combating Climate Change: A Top Priority
Climate change looms as the most pressing threat to our planet's future. Rising temperatures, extreme weather events, and melting glaciers are just a few of the consequences of our carbon emissions. Lifetime World is committed to mitigating climate change by promoting renewable energy sources, enhancing energy efficiency, and advocating for sustainable practices.
Erosion: A Silent Threat
Erosion, the gradual wearing away of land, is a silent yet devastating force. It threatens fertile soils, disrupts ecosystems, and contributes to flooding. Lifetime World works tirelessly to combat erosion by promoting soil conservation techniques, planting trees, and restoring degraded landscapes.
Drought: A Parched Planet
Drought, characterized by prolonged periods of insufficient rainfall, is a growing concern, affecting millions of people around the world. Lifetime World is at the forefront of drought resilience, promoting water conservation, developing drought-resistant crops, and implementing rainwater harvesting systems.
Our Path Forward: A Collaborative Research Effort
We recognize that the challenges we face are too immense to be tackled alone. Lifetime World fosters partnerships with individuals, communities, businesses, and governments, creating a united front to address environmental issues. Feel free to discuss intern opportunities to learn together.
Empowering Future Generations
Education is the cornerstone of environmental stewardship. Lifetime World equips young minds with the knowledge and skills to become responsible stewards of our planet, ensuring a sustainable future for generations to come.
Our Impact: A World in Harmony
With each tree planted, every watt of renewable energy generated, and every drop of water conserved or produced from hydrogen, we are weaving a tapestry of environmental restoration.
Lifetime World envisions a world where nature thrives, communities flourish, and humanity lives in harmony with its surroundings.
Together, we can create a world where climate change is a distant memory, erosion is a relic of the past, and drought is a forgotten nightmare. Together, we can make our planet a beacon of hope for generations to come.
Lifetime World Advisors are champions for Earth's health and stewards of a sustainable future.
Connect with the Founder of Lifetime World
CV.
β Lifetime Digital Workspace for intelligent industries
β¨ Lifetime Digital Workspace for intelligent industries
β¨ Lifetime Oy
TBA: A global industrial map application similar to a COVID map. An application that shows every carbon-emissive device operating in real-time. An app that shows a dashboard and a 'wall' of carbon emission reductions and improvements on a map, displaying the local situation. A virtual reality platform (DWS) can address this need.
- Consumer competitions will be available,
- Environmental prizes,
- A wall of fame for cities, companies, products, people, and more. Because your device's operation and emissions are the problem, it will be addressed soon. What is measured and monitored is sooner fixed. Let's make this a fun journey! π₯°ππππππ Achievements work better than restrictions. Use of an intelligent building ecosystem with 5G/IoT sensors (Wirepas) and a fuel cell ecosystem.
βοΈ Climate Tech, Hydrogen PoCs, AI Agents
βοΈ Generative AI βοΈ Microsoft AI Studio βοΈ Foundation Models and their services
βοΈ Cloud Security as Cloud Architect role
βοΈ .NET MAUI Multi-Platform development with Blazor
βοΈ Oqtane is an open-source CMS and Application Framework that provides advanced functionality for developing web, mobile, and desktop applications on .NET. It leverages Blazor to create a fully dynamic digital experience. Whether you are looking for a platform to accelerate your web development efforts or are simply interested in exploring the anatomy of a large-scale Blazor application, Oqtane provides a solid foundation based on proven enterprise architectural principles and patterns.
βοΈ Blazor is an open-source and cross-platform web UI framework for building single-page applications using .NET and C#. Blazor applications can be hosted in a variety of ways. Blazor Server uses SignalR (WebSockets) to host your application on a web server, providing a responsive and robust development experience. Blazor WebAssembly relies on Wasm, an open web standard that does not require plugins for applications to run natively in a web browser. Blazor Hybrid is part of .NET MAUI and uses a WebView to render components natively on mobile and desktop devices. Razor components can be shared across all hosting models without any modification.
Blazor is a feature of ASP.NET, the popular cross-platform development framework from Microsoft that provides powerful tools and libraries for building modern software applications.
βοΈ Microsoft Azure
βοΈ Microsoft Visual Studio & Visual Code
βοΈ Serverless .NET MAUI on AWS with Visual Studio Code
βοΈ Data and Video Streaming Services
βοΈ Robotics, edge, AI, satellite
βοΈ Data Warehouse as a Service
βοΈ Data Lakehouse Implementations
βοΈ Containers, GitHub Workspaces, CI/CD
βοΈ Big Data
βοΈ Data Science and Analytics
βοΈ Artificial Intelligence
βοΈ Machine Learning
βοΈ Insight Engines
βοΈ Business Intelligence
βοΈ AWS βοΈ Microsoft Azure Marketplace solutions βοΈ Amazon API Gateway βοΈ AWS Amplify Studio βοΈ Amazon Aurora Serverless βοΈ AWS IAM βοΈ AWS IAM Identity Center βοΈ Amazon Cognito βοΈ Amazon Comprehend βοΈ Amazon DynamoDB βοΈ Amazon DocumentDB βοΈ Amazon ECS for Kubernetes βοΈ Amazon Redshift βοΈ Amazon SageMaker Studio βοΈ AWS CloudFormation βοΈ AWS CodeCommit βοΈ AWS CodePipeline βοΈ AWS CodeStar βοΈ AWS CodeDeploy βοΈ AWS CodeBuild βοΈ AWS CloudTrail βοΈ AWS Organizations βοΈ AWS Control Tower βοΈ AWS QuickSight
β (LI Article) What is Superintelligence? β (LSJ) The Kubernetes Engineering #cloudnative #containerization β (LSJ) Cloud servers, bare metal, and storage - Vultr.com β (LSJ) My Journey to Becoming a Certified Cloud Solutions Architect and Developer
Risto is a Senior Full-Stack Developer with a solid knowledge of how to build and develop cloud-native, microservices-based solutions using containers (K8s/Docker) on multi-cloud architectures.
He has Associate Architect-level knowledge of:
- Amazon Web Services
- β Service Delivery and Service Mesh: AWS Cloud Map, AWS App Mesh.
- β Amazon Elastic Container Service on Fargate compute engine.
- β Management (deployment, scheduling, scaling, and management of containerized applications).
- β Hosting (where containers run): Amazon EC2, AWS Fargate.
- β Image Registry (container image repository): Amazon Elastic Container Registry.
- IBM Cloud/Watson/Data Science.
- VMware Foundation/Virtualization.
- Google Cloud Code Development.
- Microsoft Azure IAM & migration deployments.
- Azure DevOps.
Developer stack: Go, C#, Python, React, JavaScript, Dapr, Solidity, NoSQL, YAML, JSON, GitHub Actions, MySQL, Kubernetes, AWS EKS Anywhere, Docker, Helm, Jupyter Notebooks.
Risto Anton has created successful market-entry strategies, product roadmaps, and investor decks for various product lines, and has ideated and built innovative solutions, including their software architecture planning and CI/CD.
He is an engineering team/project leader and software architect with an associate/professional level of software experience, with proven expertise in building startups and working with large companies.
Risto Anton has built, scaled, and led high-performing consulting teams to deliver world-class SaaS solutions.
He has helped connect software businesses worldwide with industry leaders in the Lifetime Certified Partner Consortium.
With 30 years of experience, Risto Anton advises the software technology industry on building solutions that help customers succeed.
I believe in hard work, commitment, and dedication, as well as in leadership, kaizen flow, and continuous improvement. Age is not just a number; with this attitude, it provides a strong advantage to any customer.
The technology stack expertise:
β Public Clouds: Amazon Web Services, Microsoft Azure, Google Cloud Code, IBM Cloud Data Science, VMware Foundation, Terraform
β Container Management: Docker, Docker Swarm, Kubernetes, Helm, Terraform, AWS ECS, AWS Beanstalk, AWS EKS Anywhere
β Monitoring: Elasticsearch, Logstash, Kibana, Grafana, Prometheus, AWS CloudWatch
β Deployment: YAML, JSON, Helm, Vault, Consul, Vagrant, Terraform
β IaC: Terraform, Consul
β Delivery: GitLab for CI/CD/K8s Cluster Management, Azure DevOps, GitOps with Argo CD
β Cloud Security: ISO 27001, vulnerability scanning, penetration testing, due diligence, Quality Assurance, GDPR.
Understands governance, risk, and compliance (GRC) strategies from an integrated security solution in the cloud perspective. Topics include: π zero trust, shift-left security, identity access management (IAM), security information and event management (SIEM), extended detection and response (XDR), Kestrel, threat hunting, threat analytics, security modernization, application and infrastructure security, container lifecycle security management, and security automation technologies.
β Data Security
π understands
- _encryption techniques,
- securing data at-rest, in-motion, and in-use best practices and their tooling (TX).
- Keep Your Own Key (KYOK) capabilities, quantum-safe cryptography, confidential computing, and fully homomorphic encryption (FHE)._
β AWS Beanstalk β Microsoft .NET Aspire β NodeJS β Docker
β Microservices & Agentic AI Dapr is a portable, event-driven runtime for building distributed applications across the cloud, edge, and different languages.
β Frontend/Backend Application Tools: Visual Studio Code, Android Studio, Xcode for Mac
β Databases: Amazon DynamoDB, MongoDB, Amazon Elasticsearch, Amazon RDS, MySQL
β API: JSON, YAML, REST, GraphQL, gRPC, Azure Application Gateway
β Messaging: Amazon SQS/SNS
Project Management
β Microsoft Azure DevOps/Atlassian
β GitHub Kanban
Customer Engagement Management
β Insightly CRM
β Microsoft Dynamics 365
Business Automation
β Cursor AI, Claude, Gemini Pro, AWS AI
π In his free time, Risto Anton is passionate about gym training and running.
- Half-Marathon PB 1:22.20
- Marathon PB 3:41:00
Risto Anton likes to play guitar with friends and enjoys a cup of dark-roasted coffee with colleagues whenever available.