Our tech talent network consists of hundreds of on-site talents, off-site collaborators and top software houses. We will pick GAN superstars perfectly fitted for your company culture, industry and technology.
Our goal is not to simply deliver the project. We will help you build a hypergrowth environment around your technology and your product.
Even the best alghoritms are just a part of success. We will provide you with interdisciplinary team of tech business talents, from project managers and strategy consultants to sales and marketing experts.
We take the best principles of agile approach to software develolpment and expand it to other project's areas, to ensure the highest efficiency and transparency of our expert's work.
You tell us about your challenges and business goals.
Based on that information we provide you with top software talents perfectly matching your needs.
Together we brief the newly created team and kick-off the project.
Poof! Your tailor-made squad of experts is ready to work!
We’ve been extremely satisfied. We work with multiple partners, but they’re our main supplier because of the quality of their work.View the case study
Make your chatbots more human. With the power of GAN engineering, your customer service can be automated with chatbots that feel natural to customers and allow you to optimize costs better.
Generate graphics and copy that sells. GAN networks allow to build truly perfect content, based on tens or hundreds of thousands of examples and best practices from all around the internet.
Protect your customers and yourself better. GAN networks can help you identify weaknesses in your current cybersecurity solutions and find anomalies that might be threatening to your precious data.
Deliver offers and products perfectly tailored to your specific customers. With the help of GAN networks, you can identify the preferences of your clients and deliver them personalized offering.
Yann LeCun, Director of AI Research at Facebook and an NYU professor, wrote in 2016 that GANs are "the most interesting idea in the last 10 years in machine learning”. But what are GANs actually and why they are so revolutionary?
GANs, or generative adversarial networks, are generative models composed of two opposing (therefore „adversarial” in the name) networks. One of these networks generates new data instances (generator) and the second reviews whether these instances fit the existing data catalog (discriminator). The idea of GAN networks was introduced in a 2014 paper by a group of scholars from the University of Montreal.
GAN networks became popular among the broader public mostly thanks to the developers who used them for creative purposes — and those got quickly picked up by news outlets and websites around the world.
One of the most popular cases of using GANs was the 2018 story of the Portrait of Edmond Belamy. This work of art is a result of a collaboration of three French students who, with the help of a GAN algorithm built by Stanford’s Robbie Barrat, issued the first AI artwork to be sold at an auction house, the famous Christie’s.
As Hugo Caselles-Dupré, one of the three French students explained:
We fed the system with a data set of 15,000 portraits painted between the 14th century to the 20th. The Generator makes a new image based on the set, then the Discriminator tries to spot the difference between a human-made image and one created by the Generator. The aim is to fool the Discriminator into thinking that the new images are real-life portraits. Then we have a result.
GANs are also commonly used to generate fake news, especially in form of the infamous deepfakes — most often videos in which a virtual lookalike of a real person says something they have never said in real life.
But GAN networks can be also used for the good of your business.
GAN networks are still a relatively new branch of AI development so new ways of incorporating them into business operations are being discovered on a regular basis. At the moment, GANs are used mainly for:
In other words, GAN networks are surely useful in any type of industry and have already become an important part of machine learning and AI development world. This means that for the best results in automation and improving your data science division, you need a GAN networks expert.
GAN engineering is most often done by experienced machine learning developers focused on such networks. To excel in the role and deliver great results for your business, GAN engineers should possess a specific set of technical skills — we list the most important ones below.
As there are so many various uses of GAN networks in business, different GAN developers are experienced in different fields of machine learning. For example:
As GAN engineering is still a very new discipline, there are not that many experts in the field on the market. Because of this, you should not focus on finding people with experience in your specific industry. Of course, there is, for example, a number of GAN developers working in financial institutions that will be a great choice for fintechs. However, most organizations will benefit the most by looking into the aforementioned field fit — reviewing what your business needs GAN networks for and finding a GAN engineer who worked on similar solutions but not necessarily in the same industry as your business.
When you want to hire GAN network engineers, you should also consider specific soft skills that have a direct influence on the results they deliver. Such skills are:
GAN networks engineers are most often graduates in fields like computers science, maths, statistics, or some kind of engineering. To excel in AI and machine learning development, throughout the years of studying, they most often participate in courses on:
A technical interview allows you to assess the full scope of your candidate’s knowledge about GAN networks and other relevant concepts. If you are not a machine learning professional yourself, we highly recommend asking such an expert to assist you in running the interview.
What questions can you expect to be asked?
GAN network engineers are an incredibly valuable addition to your company, but improved efficiency and great results can be achieved by expanding your data team even more. Data scientists, data engineers, machine learning engineers, AI experts — they are all useful when it comes to innovating and automating your business.
With Ideamotive, hiring all these experts is easier than ever. We run a network of top IT talents looking for new career opportunities, including a vast pool of data and machine learning professionals. For the best results, we connect you only with candidates who perfectly match your company profile, product specification, and any other requirement you might have.
Get in touch with us today and start innovating your business with a great team.