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Cost of Blockchain Implementation

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Blockchain has emerged as a highly leveraging technology leaving a great impact in the new digital economy. With the promising use-cases, the technology still thrives on flourishing for maximum optimization and effective business transformation. Governing the major implications, the industry experts expect that the investment in blockchain will grow significantly. According to Markets and Markets, the global size of the blockchain market is predicted to rise from 3 billion USD in 2020 to 39.7 billion USD by 2025, with a CAGR of about 67.3%.

While developing blockchain-powered solutions and apps, it is not easy to estimate the return on investment (ROI) of blockchain development. However, estimation assumes a different dimension of importance in the case of blockchain implementation. For ensuring effective blockchain development, businesses must share their findings optimally among the team. 

It would be inappropriate to know the actual cost of blockchain implementation due to their diverse implications across different industries like healthcare, finance, insurance, agriculture, retail, etc. Let us walk you through the factors that can have a tremendous impact on the overall cost. These factors help determine the project’s budget and give a quick estimate regarding the overall development cost. 

1. Process

The cost of developing a blockchain-based solution depends upon numerous factors like many functionalities, implementation complexity, types of platforms and technology stack. The following development phases involved in the process directly influence the blockchain development strategy and the overall implementation cost.

  • Design

This phase incurs the cost for system blueprint, user interface design consisting of wireframes, high-fidelity and low-fidelity designs with a prototype and app flow.

  • Development

The cost-incurring traits in the development phase include coding and application testing.

  • Deployment

It refers to deploying the application on delivery models or cloud platforms.

  • Migration

It refers to the moving of existing solutions to the blockchain platforms.

  • Maintenance 

It refers to the maintenance cost for the new up-gradation and updation and testing of the application to ensure smooth functioning.

  • Third-party tool integration

The cost may rely on integrating the following third-party tools for hosting, storing, notifying, and collaborating services such as :
Amazon Web service: This tool is essential for cloud computing, storage, and delivery services. The cost may vary between $100 to $1000, depending upon the number of users.

Bug tracking tools: These tools assist in reporting and removing live bugs. Their cost can fluctuate from 10 to 100 $.

Monitoring service: Applications like uptime robots help to send real-time notifications for downtime, whose cost varies from $10 to $50.

Notification services: The notification service tools like Kumulos, Twilio, Amazon SNS will cost about $10 to $50.

Analytics with mixpanel: This tool conducts application data analysis, funnel reporting, insight generation, which incurs the cost of around $10 to $ 150.

2. Complexity

The cost of blockchain implementation depends upon the complexity of the project or application. Numerous factors like t define the complexity of a project, the purpose, problems associated with the end-users, the need for the existing solutions to the problems and the requirement to invest in blockchain development.

Based on the application complexity, the cost for blockchain app development can be categorized as:

  • Low complexity level

These include payment apps, smart contract development apps, which cost between $15000 to $ 40000.

  • Average complexity level

The distributed applications (DApps) with average complexity incurs the cost between $ 30000 to $90000.

  • High complexity level

The enterprise blockchain application from scratch or complete decentralized network for a sophisticated project will cost above $130000.

3. Development Resources

Blockchain project implementation involves an ample amount of effort and time to execute the algorithms effectively. While approximating the budget of blockchain-based applications, it is essential to consider the following development resources.

  • In-house app development group for building blockchain solutions, estimating the cost around ($500,00 to $2000,000).
  • Hiring service providers like freelancers would incur expenses between $30,000 to 90,000.
  • Hiring blockchain app development companies or agencies for supervising the application’s progress, whose cost estimation varies between $150,000 to $500,000.

Working with an in-house team is very expensive, but it offers effective tracking of blockchain app development. On the contrary, if you are outsourcing the project or hiring offshore developers, it could be the least expensive measure but could involve risks.

It is always preferable to go with a software development company possessing in-depth knowledge about the languages, app development contexts, tools, and other prerequisites required for successful implementation. You may also opt to hire freelancers if blockchain app development seems risk-free because the risk factors increase with the project’s scope over time.

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Microsoft Expands Copilot Voice and Think Deeper

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Microsoft Expands Copilot Voice and Think Deeper

Microsoft is taking a major step forward by offering unlimited access to Copilot Voice and Think Deeper, marking two years since the AI-powered Copilot was first integrated into Bing search. This update comes shortly after the tech giant revamped its Copilot Pro subscription and bundled advanced AI features into Microsoft 365.

What’s Changing?

Microsoft remains committed to its $20 per month Copilot Pro plan, ensuring that subscribers continue to enjoy premium benefits. According to the company, Copilot Pro users will receive:

  • Preferred access to the latest AI models during peak hours.
  • Early access to experimental AI features, with more updates expected soon.
  • Extended use of Copilot within popular Microsoft 365 apps like Word, Excel, and PowerPoint.

The Impact on Users

This move signals Microsoft’s dedication to enhancing AI-driven productivity tools. By expanding access to Copilot’s powerful features, users can expect improved efficiency, smarter assistance, and seamless integration across Microsoft’s ecosystem.

As AI technology continues to evolve, Microsoft is positioning itself at the forefront of innovation, ensuring both casual users and professionals can leverage the best AI tools available.

Stay tuned for further updates as Microsoft rolls out more enhancements to its AI offerings.

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Google Launches Free AI Coding Tool for Individual Developers

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Google Launches Free AI Coding Tool for Individual Developers

Google has introduced a free version of Gemini Code Assistant, its AI-powered coding assistant, for solo developers worldwide. The tool, previously available only to enterprise users, is now in public preview, making advanced AI-assisted coding accessible to students, freelancers, hobbyists, and startups.

More Features, Fewer Limits

Unlike competing tools such as GitHub Copilot, which limits free users to 2,000 code completions per month, Google is offering up to 180,000 code completions—a significantly higher cap designed to accommodate even the most active developers.

“Now anyone can easily learn, generate code snippets, debug, and modify applications without switching between multiple windows,” said Ryan J. Salva, Google’s senior director of product management.

AI-Powered Coding Assistance

Gemini Code Assist for individuals is powered by Google’s Gemini 2.0 AI model and offers:
Auto-completion of code while typing
Generation of entire code blocks based on prompts
Debugging assistance via an interactive chatbot

The tool integrates with popular developer environments like Visual Studio Code, GitHub, and JetBrains, supporting a wide range of programming languages. Developers can use natural language prompts, such as:
Create an HTML form with fields for name, email, and message, plus a submit button.”

With support for 38 programming languages and a 128,000-token memory for processing complex prompts, Gemini Code Assist provides a robust AI-driven coding experience.

Enterprise Features Still Require a Subscription

While the free tier is generous, advanced features like productivity analytics, Google Cloud integrations, and custom AI tuning remain exclusive to paid Standard and Enterprise plans.

With this move, Google aims to compete more aggressively in the AI coding assistant market, offering developers a powerful and unrestricted alternative to existing tools.

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Elon Musk Unveils Grok-3: A Game-Changing AI Chatbot to Rival ChatGPT

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Elon Musk Unveils Grok-3: A Game-Changing AI Chatbot to Rival ChatGPT

Elon Musk’s artificial intelligence company xAI has unveiled its latest chatbot, Grok-3, which aims to compete with leading AI models such as OpenAI’s ChatGPT and China’s DeepSeek. Grok-3 is now available to Premium+ subscribers on Musk’s social media platform x (formerly Twitter) and is also available through xAI’s mobile app and the new SuperGrok subscription tier on Grok.com.

Advanced capabilities and performance

Grok-3 has ten times the computing power of its predecessor, Grok-2. Initial tests show that Grok-3 outperforms models from OpenAI, Google, and DeepSeek, particularly in areas such as math, science, and coding. The chatbot features advanced reasoning features capable of decomposing complex questions into manageable tasks. Users can interact with Grok-3 in two different ways: “Think,” which performs step-by-step reasoning, and “Big Brain,” which is designed for more difficult tasks.

Strategic Investments and Infrastructure

To support the development of Grok-3, xAI has made major investments in its supercomputer cluster, Colossus, which is currently the largest globally. This infrastructure underscores the company’s commitment to advancing AI technology and maintaining a competitive edge in the industry.

New Offerings and Future Plans

Along with Grok-3, xAI has also introduced a logic-based chatbot called DeepSearch, designed to enhance research, brainstorming, and data analysis tasks. This tool aims to provide users with more insightful and relevant information. Looking to the future, xAI plans to release Grok-2 as an open-source model, encouraging community participation and further development. Additionally, upcoming improvements for Grok-3 include a synthesized voice feature, which aims to improve user interaction and accessibility.

Market position and competition

The launch of Grok-3 positions xAI as a major competitor in the AI ​​chatbot market, directly challenging established models from OpenAI and emerging competitors such as DeepSeek. While Grok-3’s performance claims are yet to be independently verified, early indications suggest it could have a significant impact on the AI ​​landscape. xAI is actively seeking $10 billion in investment from major companies, demonstrating its strong belief in their technological advancements and market potential.

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