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Transforming AI Models into Real-World AI Applications: Harnessing Intelligence for Significant Impact

Blog Post Contribution by Praneet Brar

Transforming AI Models into AI Solutions: Converting Intelligence into concrete Results
Transforming AI Models into AI Solutions: Converting Intelligence into concrete Results

Transforming AI Models into Real-World AI Applications: Harnessing Intelligence for Significant Impact

Praneet Brar, a developer, AI builder, and digital product creator, has made a name for himself in the tech world with his innovative approaches to AI productization and visibility. His portfolio includes MakeMyPlan, ContractAura, Aura++, and various SEO services available via praneetbrar.com.

Productizing AI Models

In a bid to bridge the gap between AI and tangible value, Brar has developed platforms that explore AI productization. To effectively productize AI models, Brar emphasizes a structured workflow that separates experimentation and production, with Data Scientists focusing on rapid prototyping and experimentation, while Software Engineers manage a separate, stringent production repository with clear code standards.

Moreover, grounding AI in trusted, domain-specific data is crucial, especially for professional or critical applications. Models should be built on curated, authoritative data sources to ensure accuracy, reliability, and trustworthiness. Continuous monitoring and iterative improvement are also essential to keep AI products relevant and effective.

Building Visibility for AI Tools

To build visibility for AI tools, Brar suggests focusing on strategic use cases that solve real, critical problems. This approach, exemplified by companies like RELX, ensures adoption by embedding AI into existing professional workflows where trust and accuracy are paramount.

It's also important to clearly articulate and deliver outcomes rather than just automating tasks. Start with the desired business or user outcomes and demonstrate how AI reshapes processes to achieve them. Using targeted messaging around trust, reliability, and domain expertise can also help differentiate AI tools from generic solutions.

Discoverability and SEO

Discoverability is a significant challenge in the AI ecosystem, with countless innovative apps often remaining hidden due to lack of SEO or distribution. To tackle this problem, Brar has developed Aura, a discovery platform for creators to showcase websites, apps, and digital products, particularly beneficial for early-stage tools and SaaS apps seeking initial traction.

SEO is crucial for AI builders, as it can significantly improve organic reach due to the trending nature of AI keywords and high competition. To enhance a site's domain authority and rankings, Brar offers The Backlink Bundle, a comprehensive SEO package. Additionally, the Backlink Exchange Marketplace, a service where creators can swap high-quality, relevant backlinks, can also boost a site's visibility.

In summary, successful productization balances rapid AI innovation within disciplined engineering workflows, grounds AI models in trustworthy data for domain-specific use, and applies AI-driven insights throughout product strategy and customer engagement to build visible, impactful AI tools in the real world.

  1. Praneet Brar, in his venture to enhance the lifestyle integration of AI, has developed Aura, a discovery platform that aids creators in showcasing their websites, apps, and digital products, particularly beneficial for early-stage tools and SaaS apps striving for initial traction.
  2. As part of his commitment to boost the visibility of AI tools, Praneet Brar offers The Backlink Bundle, a comprehensive SEO package, to elevate a site's domain authority and rankings, capitalizing on the trending nature of AI keywords and high competition in the home-and-garden, technology, and artifical-intelligence sectors.

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