Before we talk about how our partner ecosystem is using, deploying, investing in, and even protecting companies from generative AI, we should all be on the same page about what this technology is and how it works. It is recommended that you have
At the highest level, generative AI is a type of artificial intelligence (AI) that trains machine learning models to create or update content similar to or inspired by existing data. It is included. Generative AI models can create just about anything from text to images, music, videos and even his 3D model.
Generative AI algorithms typically use a form of deep learning called generative adversarial networks (GANs) or variational autoencoders (VAEs). A GAN consists of her two neural networks, a generator that creates new data and a discriminator that evaluates whether the generated data is realistic. VAE uses a different approach of encoding input data into a low-dimensional latent space and decoding it back into new data. These two approaches are valuable, but they often apply to different use cases. The end result is newly generated text, code, videos, visuals, designs, etc.
Generative AI has many applications such as art and design, content creation, marketing, recruitment, and even medicine, but there are also concerns about its potential for abuse, such as creating fake news, flawed data, and deepfakes. is occurring.
Now that we’ve covered the basics, let’s talk about how this transformative technology can impact our ecosystem of partners.
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How our technology partners use generative AI
First, it is important to note that as a new technology, generative AI has a limited impact on the channel today compared to within a few years. That said, its impact is being felt in many ways.
One of the key benefits of generative AI is that it enables companies to create new products and services that could not previously be developed using traditional programming techniques. For example, as a player in the technology ecosystem, we haven’t had enough programming skills to customize applications for every customer, even every industry.
With generative AI, that has changed. Partners can use generative AI to recreate common code in each customer configuration as needed. After that, the partner only needs to check the correctness of the code. This saves hundreds, if not thousands, of programming hours, allowing you to develop bespoke applications with limited programming investment. It really is a game changer.
Generative AI enables companies to train models to generate content and data that can be used to create products and services. For example, a technology partner can use generative AI to create unique designs for common processes and services, or to generate personalized services for a customer’s contact center or her website. No need to invest in customization.
Generative AI also enables partners to automate complex tasks that previously required human expertise. For example, many partners are starting to use generative AI as a help desk aid by allowing them to “put” AI into their chat functionality. This reduces the need for humans by making it easier to find answers to common problems than previous generation chatbots. Alternating current.
In addition, generative AI is creating new opportunities for companies to collaborate on developing new products and services. For example, a company specializing in generative AI for healthcare can partner with a company that manufactures healthcare software to create new products that use AI-generated healthcare analytics, record keeping, or diagnostic support. increase. This creates a whole new ecosystem of partners dedicated to specific solutions in vertical markets.
As a result of these developments, the technology partner ecosystem has expanded to include a new generation of companies that specialize in developing generative AI models and applications. These companies are partnering with traditional technology vendors to integrate their AI technology into existing systems and processes.
Finally, partners are beginning to use generative AI to uncover risks not only for specific use cases like code mapping and code analysis, but also for risk management and many other applications.
Conclusion
Overall, generative AI creates new opportunities for collaboration and innovation, empowering companies to create new products and services that could not previously be developed through traditional programming methods, thereby expanding the ecosystem of technology partners. is rebuilding. We are at the very beginning of the curve, but this technology presents a huge opportunity for the technology ecosystem.
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