Helping AI Developers Monetize Their Work

The industry is structured today, with current best-in-class AI enablement platforms. Despite this, AI developers and data scientists face many challenges when trying to monetize their work and bringing their research and value-added projects to the market. This is a significant waste of talent, and set drawbacks to the application of AI in real life.

Thus, Openfabric is on a mission to help AI researchers, developers, and their projects. They aim to do this by monetizing their work and reaching end-users who can benefit from cutting-edge advances in AI technologies.

Do you want to know how? Then, read this article.

A quick search of AI projects on GitHub yields almost half a million results. Unfortunately, for the most part, the vast majority of these projects will never reach the market. Few of them will be used in or integrated with real products or services. Though many of them may have the potential to bring about meaningful change and drive new advances in the way the world works.

This is a major problem that Openfabric has set out to overcome.

Current Challenges to AI Developers

Building AI capabilities into business offerings is a necessary yet difficult step for many companies. The latest research suggests that a lack of big data is not the problem. The problem is actually a combination of complexity and consumer outreach in the form of usable data and applications.

Overcoming Complexity

Choosing from hundreds or even thousands of available AI applications by end-users is tasking. It can make it difficult for them to choose the application that is right for them. However, if we can overcome the challenges of complexity, can quickly find answers, make decisions, and reach markets. All of the things that AI promises to do.

That is why choosing an AI solution for a given problem should be as easy as conducting a basic query. This can be followed by finding the right application, and launching it or integrating it into your application, all with a few clicks.

Consumer Outreach/Application Usability

AI developers need to create applications that are usable and consumer-friendly. They need to be useful, accessible, and intuitive to laypeople. AI applications that are difficult to use will quickly fall out of favor with users and will not gain the traction and widespread adoption needed to reach critical mass.

Monetizing AI Research: A Real Life Application of AI

The challenges of finding the right AI applications and making them quick, easy, and hassle-free to use don’t just end there. In addition, AI researchers, projects, and companies typically only have two channels via which they can monetize their work.

Indirect Monetization

The first is indirect monetization. Here, built-in AI capabilities improve the overall value of a product or service. However, these are not the only source of the value of that product or service. For example, an AI chatbot or recommended products on Amazon or Netflix are examples of AI capabilities that add value to an existing product or service.

Indirect monetization can be very difficult unless you have the networks and business leverage needed to have your product or service integrated with another product. It can also be difficult to keep a fair share of the surplus value you generate for the end product. Then, contractual and distribution issues can also arise.

Direct Monetization via AI-as-a-Service

Like IBM’s Watson and Salesforce’s Einstein, AI-as-a-Service offerings provide on-demand AI capabilities to the end-user with minimal investment. They are able to do this via a subscription or usage-based setup. Doing this, however, can be difficult unless you have the financing, teams, and ancillary resources needed to develop a comprehensive solution that has real-world utility. These are things that the average AI researcher — even well-funded AI startups — do not have.

Openfabric and the Future of AI: Helping AI developers

The Openfabric platform was designed from the ground up to help AI developers and researchers overcome these problems. It was designed to help AI researchers, developers, and companies;

• Monetize their work
• Reach new markets, and
• Integrate their solutions with new products and services.

We can use Airbnb and Uber as analogies for how Openfabric can transform the AI landscape. Without an app such as Airbnb, it would be very difficult — if not impossible — for a small, private homeowner to rent out their property. In return, monetize their real estate assets. Similarly, we have a smooth, performant, easy-to-use ridesharing app that connects drivers and customers. Without it, it would be difficult for private vehicle owners to make money from providing transportation services.

AI researchers and developers face similar challenges today. They have a great deal of value to share with the world in the form of new, creative, and innovative AI solutions. Though, they are simply unable to connect to the markets and end-users who can benefit from them.

Openfabric AI has a team of AI developers that are creating a reliable AI ecosystem. In this ecosystem , everyone has quick, easy, low-cost, and hassle-free access to powerful AI algorithms and services. These algorithms and services can quickly and easily be integrated with new products and services to improve offerings and create markets for new products. Another efficient real life application of AI.

To do this, Openfabric has built a secure, scalable, interoperable, and decentralized platform. The platform makes it easy for AI developers and researchers to connect to consumers and businesses that need AI capabilities. It will help anyone who wants to tap into the vast potential of AI algorithms and applications to do so and to create AI-powered products, services, and solutions of their own.

Conclusion

Openfabric AI platform will help AI developers, researchers, and companies monetize their work. To learn more about how will create a seamless, effective, integrated, and hassle-free AI platform please visit us.