Many companies want to launch artificial intelligence projects. To be effective, it is important to choose the right use cases, approach and solutions. There is no shortage of dedicated solutions on the AI market. The platforms promise to facilitate access to artificial intelligence with a variety of arguments that are sometimes rather subjective and not very concrete.
This is why we propose to guide you in this choice and to give you our arguments in favour of the papAI platform.
#1 - To save time.
Artificial intelligence projects are known to be complex and time-consuming. This is why many CDOs are reluctant to deploy this type of technology to enhance the value of their company’s data. The lack of qualified human resources in AI is also an obstacle.
Thanks to the multiple algorithms available in the papAI platform and the possibility to reuse already developed projects, your teams save time and can work on more projects. Moreover, papAI is an all-in-one platform: data collection, preparation, analysis and interpretation of results are all done in the same environment. There is no need to juggle multiple tools.
#2 - For ease of use.
The lack of collaboration between IT, the CDO and his team is one of the obstacles to the success of artificial intelligence projects. This is often due to the complexity of using AI solutions, which require solid knowledge in terms of codes, data manipulation and interpretation.
Businesses must then call upon data scientists or the IT department for their simulations.
The papAI platform is a no-code solution, offering a range of pre-configured algorithms, which makes it easy to learn and easy for users to use. The processing workflows are described in an intuitive way on a graphical interface. This means that business teams can test algorithms, run simulations and visualise results to adapt analyses without the need for systematic recourse to data scientists.
By having visibility on projects, they are more involved and the chances of success increase. In turn, data teams can develop the models they want much more quickly, with only a few days of training delivered by Datategy.
#3 - To take advantage of innovation.
Many artificial intelligence solutions are limited to proven algorithms and technologies focused on known problems. Many emerging or special needs cannot be covered by these technologies. Exploring new decision-making capabilities therefore requires a significant amount of research and development that not all companies can provide, and this can become costly.
The papAI platform offers a wide range of pre-programmed and scalable algorithms.Datategy’s AI developers are constantly innovating to provide customers with technologies that address a wide range of issues.
The goal is to remain at the cutting edge of artificial intelligence.Datategy’s AI developers are constantly innovating to provide our customers with technologies that address a wide range of issues. To achieve this, they deploy numerous innovative algorithms on the classic families of data science:
- Time series
#4 - For more sustainability.
Artificial intelligence solutions are perceived as complex to develop, deploy and maintain.
This complexity raises issues of reliability and consistency. Imagine an organisation that uses machine learning to guide product placement on its e-commerce site (by analysing the content of shopping carts), and can no longer use it because the algorithm has changed or is no longer supported.
Marketing teams then lose all useful information and have to return to a manual, time-consuming and approximate analysis.
papAI is a no code / low code platform, which reduces maintenance issues. The solution requires little specific development and is more easily maintainable.
#5 - To benefit from assistance.
For many artificial intelligence solutions, the editor’s support stops at the deployment of the solution. There is no follow-up, no additional development possible, or it is necessary to take out an additional support and training package.
Datategy offers, in addition to the papAI artificial intelligence platform, a follow-up before, during and after deployment to guide you throughout the use of the solution. If you do not have the resources available for your projects, Datategy offers the profiles of its Centre of Excellence (Data Scientists, Data Analysts, etc.) adapted to your needs.This gives you access to the expertise you need to get the most out of your business intelligence analyses.
#6 - For the interpretability of results.
How to determine the influence of a data item on a prediction? How to interpret the results of an analysis? The main pitfall of AI is precisely its opacity. Because, unlike a deterministic approach, its approach is not logical. This is the “black box” phenomenon. Although the results are satisfactory, it is not possible to explain them.
Thus, it is not possible for businesses to clearly and easily identify the factors that influence certain results or behaviour, which limits the quality of their decisions and the value of their data. In addition, the European Union plans to regulate artificial intelligence by requiring the results produced by AI to be intelligible in sensitive sectors or for the general public. The European regulator wants to leave a primordial place to humans in the decision making process to avoid bias and to provide transparency on the causes that led to the results.
Transparency and interpretability of predictions are strong points of papAI. The platform offers the possibility to highlight and visualise which data and which rule led to the result, whether it is an automated analysis, the detection of a particular behaviour or a prediction. You can quickly run simulations to see the impact of each change and define the most effective and relevant AI models.
#7 - For a "green by design" solution.
Artificial intelligence generates a significant volume of data to be stored because of the various intermediate calculations to be performed. For example, training a deep learning model for natural language processing emits as much as a human being for 57 years, or as much as five cars during their lifetime. To circulate and store the data, thousands of calculations and server farms are needed, with a more than significant impact on the environment. However, some market players are making efforts to offer more energy-efficient applications.
At Datategy, we have integrated a tool into our solution that measures the carbon impact of the models generated: the equivalence in terms of CO2 emitted and the renewable energy required to perform each intermediate calculation. This makes it possible to make developers aware of the impact of their work on the environment and thus reduce the number of time-consuming processes that are not useful for the result. It is also possible to aggregate small processes to reduce computation time and intermediate data generation. In conclusion, the papAI platform allows to simplify processing flows, reduce data generation and storage, as well as computation time.
Equipping yourself with the papAI platform means freeing up time for the CDO and the Data Scientists’ teams, it gives the businesses the possibility to evolve their processes, it means having a reliable and hosted solution as the company wishes… In a few words, it means deploying Artificial Intelligence to make it as accessible as possible and profitable for the company.
The impact of Artificial Intelligence on the environment:
- 3% of greenhouse gas emissions come from digital technologies.
- 14% of these emissions come from data centres:
- They account for 1% of global electricity consumption
- This consumption is increasing by 9% per year
Interested in discovering papAI?
Our commercial team is at your disposal for any question