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Tuottavuusloikka x 2 —> Tuottavuusloikka x 10.000

Our offering is called the 10x Consultancy. Your Go-To AI Co-pilots. The Best Knowledge Wins.

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Haluan saada lisätietoa yrityksen laadukkaimman tiedon ratkaisuista.

I want to know more about the Best effiency information solutions (AI RAG).

 


The Responsible and ethical use of AI is rapidly changing working processes and enterprise roles.

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The Responsible and ethical use of AI is rapidly changing working processes and enterprise roles. 〰️


With the Responsible AI solutions implemented you can See, Understand, and Interact on the New Way. Our Advisors and Consultants you can trust are here to mentor your team. We too believe that responsible AI programs and practices afford business leaders a strategic and competitive advantage.

As a business leader, your responsible AI strategy needs a consistent set of ideas across transparency, fairness, accountability, and privacy (Google).

The business case of Responsible AI

the Economist Intelligence Unit’s report titled “Staying Ahead of the Curve. The Business Case for Responsible AI.” offer these seven outcomes:

  1. Incorporating responsible AI practices is a smart investment in product development. Organizations that incorporate responsible AI practices early can reduce development costs and avoid downstream ethical breaches.

  2. Responsible AI trailblazers attract and retain top talent. Employees are increasingly looking for employers who are committed to responsible AI.

  3. The importance of safeguarding the promise of data. Organizations need to be transparent about how they collect, use, and protect data.

  4. The importance of preparing in advance of AI regulation. Organizations that develop responsible AI can expect to experience a significant advantage when new regulations come into force.

  5. Responsible AI can improve revenue growth. For AI vendors, responsible AI can result in a larger target market, a competitive advantage, and improved engagement with existing customers.

  6. Responsible AI is powering up partnerships. Investors are increasingly looking to invest in companies that prioritize responsible AI.

  7. Responsible AI can help organizations build trust and resilience. By incorporating responsible AI practices, organizations can build trust with their customers, employees, and other stakeholders.

A Task List of responsible AI

  • Data collection: Ensure that the data used to train AI models is representative of the population and does not contain any bias.

  • Model development: Use fair and transparent machine learning techniques to develop AI models that do not discriminate against any group of people.

  • Deployment: Ensure that AI models are deployed in a way that is safe and ethical.

  • Monitoring: Monitor AI models for bias and discrimination, and take action to mitigate any problems that are found.

  • Explainability: Make AI models explainable so that people can understand how they work and make informed decisions about their use.

  • Accountability: Hold those responsible for the development and use of AI accountable for their actions.

This list is not exhaustive, but it covers some of the most important responsible AI tasks. It is important to note that these tasks are not mutually exclusive. For example, data collection and model development are often done simultaneously.

Here are some additional tips for ensuring responsible AI:

  • Involve stakeholders: Get input from a variety of stakeholders, including users, developers, and ethicists, to ensure that AI is developed and used in a way that is beneficial to everyone.

  • Be transparent: Be transparent about the data that is used to train AI models, the algorithms that are used to develop them, and the way that they are deployed.

  • Be accountable: Have a plan for how to address any problems that are found with AI models.

By following these tips, we can help to ensure that AI is used responsibly and ethically.




Yet, the climate change happens. We have set our Mission is to fight climate change, erosion and droughts through use of responsible technologies.




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Business Case: "USE OF 5G we can connect to Car IoT data into our application that can do prediction, observability, and fine-tune the car. Further we can add built-in robot for checking tiers, plugin the EV cable, guarding the car, checking the road conditions; acting as service team."

It has been said that AI will soon ten fold the productivity of an employee. But this is only the beginning towards Superintelligence. Superintelligence has promises of 10,000 times more productive than a human. This is somewhere in 2050.

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It has been said that AI will soon ten fold the productivity of an employee. But this is only the beginning towards Superintelligence. Superintelligence has promises of 10,000 times more productive than a human. This is somewhere in 2050. 〰️

 
 
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Lifetime Industrial Services

We help Industry transformation 

  • Help our enterprise customers to transform from physical products only into digital solution based subscriptions.

  • From silos into ecosystems.       

Carbon emissions reporting solutions consultancy

Here are some of the best carbon emission reporting solutions toward 2024. These solutions enable organizations to account for and report emissions from Scope 3 activities, which include indirect emissions that occur in the value chain outside of an organization's direct control. Scope 3 emissions can be significant and account for a large proportion of an organization's carbon footprint. Reporting on Scope 3 emissions is becoming increasingly important as sustainability reporting frameworks and standards, such as the GHG Protocol and the Science Based Targets initiative, emphasize the need for comprehensive emissions reporting.

  1. Persefoni: Persefoni is a leading carbon accounting software that offers personalized support and real-time advice based on industry and region.

  2. Microsoft Sustainability Cloud: Microsoft Sustainability Cloud provides reporting and analytics features, allowing organizations to establish frameworks for carbon reduction.

  3. Net Zero Cloud by Salesforce: Net Zero Cloud offers emissions forecasting and simulations, making it a good choice for organizations looking to create action plans for carbon reduction.

  4. IBM Carbon Emissions Management: IBM's software provides comprehensive carbon footprint tracking and supports scopes 1, 2, and 3 emissions measurements.

  5. FigBytes: FigBytes is an emissions management software that offers real-time carbon emission monitoring, integrated carbon offset programs, and automation and AI-assisted data integration.

  6. Sustain: Sustain is a carbon accounting platform that focuses on sustainability and offers detailed emissions calculations.

  7. Normative: Normative styles itself as a carbon accounting engine and provides a comprehensive platform for carbon accounting

  8. Greenly: Greenly offers tailored carbon emission reduction methods and helps companies measure their carbon dioxide emissions.

  9. CarbonOps: CarbonOps software supports risk management, emissions monitoring, and automatic CO2 calculation.

  10. Sweep: Sweep is a budget-friendly option for small and medium-sized enterprises (SMEs) and offers features like risk management and emission inventory..

    It's important to note that the best carbon accounting software may vary depending on the specific needs and requirements of each organization. Contact us for evaluating solution that the Best fits your enterprise needs.

Custom Industrial Application Development

We specialize in building custom products and their teams based on project specifications.

Secure Managed Sourcing

Since every organization has unique requirements, we invest a what the organization’s needs are so that we can propose unique and innovative options for our clients.

Over the years, we have developed applications across a cross-section of business areas addressing real business development solutions and services.

  • From strategy into planning,

  • optimizing the cost with two-tier pricing.

  • Delivering advanced industry domain expertise,

  • reducing development cycles time,

  • streamlining processes with agile JIRA, SAFe.

  • Rapid demo, alpha, beta.

  • results better and faster ROI.

  • Our versatility with the usage of various development platforms gives us the edge over our competitors.

  • Lifetime™Digital Workspace 2.0 offers corporate customers 24/7 support from our Consultant base.

Consulting and advisory services

  • Guidance from experts on architecting in the AWS Cloud

  • Guidance from experts on architecting in the Private Cloud

  • Redhat OpenShift

  • IBM Cloud Pak for Data Projects

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Amazon MSK is AWS managed Service for Apache Kafka.

AWS Ready Team is available for your projects. Book free opening discussion here.


Cloudsourcing for Industrial Cloud

Cloudsourcing is a similar trend to outsourcing where an organization outsources some or all of its business processes to a third-party vendor, except that in outsourcing, the company deploys, hosts and executes a complete or vertical IT solution onto a public or private cloud provider.

With the advent in cloud computing and the increasing flexibility of different products and services offered under this technology,

Lifetime Group provides cloudsourcing as a service solution, which breaks many of the previous barriers in terms of cost, platform interoperability and scalability.

With cloudsourcing, virtually every IT requirement can be sourced on a utility computing billing model with solutions ranging from raw computing power, storage, network, software or a comprehensive enterprise IT solution.

Cloudsourcing services are typically vertical, cloud-in-a-box solutions that are designed to fulfill a specific business segment's IT needs.

Lifetime™Digital Workspace 2.0 is a cloudsourcing platform for industrial cloud, a mobile application for Corporate Customers who wish to design, deliver, lead, manage, collaborate development projects using Lifetime Certified Partners project resources targeting the hybrid cloud edge.