5 min reading
Artificial intelligence is a powerful tool that can help research and innovation professionals work differently.
What is artificial intelligence (AI)
Artificial intelligence is one of the most promising areas of technological innovation. It is the ability of a computer to perform tasks that normally require human intervention. Artificial intelligence is present in everyday life today.
For example: voice or visual recognition, translation, planning and reasoning.
App Opscidia: Graph analysing the evolution of the number of scientific publications dealing with the subjects of Artificial Intelligence between 1970 and 2021.
How AI affects the Innovation process.
AI is a powerful tool that can help companies improve their innovation processes. By automating certain tasks, it allows teams to focus on more complex problems and find more creative solutions. In addition, it can also analyse large amounts of data to identify new trends and opportunities.
There are many ways in which AI can facilitate research and innovation processes, and many examples of applications in very different fields. Some tools are mainly used in academic research, others are industrialised and used to carry out innovative projects.
Here are a few examples of applications that have impressed us, and we could cite thousands more !
Artificial intelligence is the next wave of disruptive innovation, but it raises many concerns about the possibility of replacing humans at work. The fact that some artificial intelligences can perform tasks that take a team several weeks to think about raises questions about the value of hiring when you can use artificial intelligence.
At present, the work of artificial intelligence is still too random to be self-directed without human intervention. In reality, the real value of artificial intelligence is to improve and accelerate the work of humans rather than to replace them. Several studies have shown that AI could have a positive impact on innovation and productivity. According to a study published by Mckinsey, AI could increase global productivity by 0.8 to 1.4% per year by 2025.
Why is AI so important for innovation?
Artificial intelligence (AI) is one of the most important areas of modern technology. It is essential for innovation because it allows computers to do things that were previously impossible or very difficult. For example, thanks to AI, computers can now recognise objects and images, understand natural language, learn and adapt to new situations. These capabilities have opened up new possibilities for innovation in many fields, such as medicine, education, finance and manufacturing.
Artificial intelligence is a powerful tool that enables companies to innovate more effectively. Indeed, AI allows to better target customers’ needs and to develop solutions more adapted to their demands. In addition, AI can also reduce R&D costs thanks to its ability to quickly analyse data and find innovative solutions. Today, many companies have already integrated AI into their innovation strategy. They have realised that this technology can give them a significant competitive advantage.
The ways in which AI will transform innovation
App Opscidia : Quadrant chart positions the different technologies according to the evolution of publication and publication volume in 2021
Just a few years ago, AI was considered science fiction. Today, it is at the heart of many innovations and its impact will continue to grow in the years to come.
AI is transforming the way we think about and implement innovation. It will help us better understand the data we collect, develop new concepts and implement more effective solutions. In short, it allows us to innovate faster and in a more targeted way.
AI will also play a crucial role in the next phase of innovation, helping us to identify the best ideas and implement them more efficiently. It will enable us to understand data better and make more accurate predictions. It will help us develop new products and services faster and make them more accessible to the public.
Today, AI is already boosting R&D projects at various levels.
Big Data analysis: Is a major challenge for companies and researchers, as it allows more and more data to be processed at unprecedented speed and accuracy. This opens up new perspectives for the advancement of research and development, particularly in the fields of health, climate, transport and energy.
The technologies and analytical methods used to process Big Data are extremely powerful and allow very precise results to be obtained. However, they are often complex and require specific expertise.
Example: Massive data analysis for R&D: Using databases of scientific articles, Opscidia processes 130 million scientific articles and extracts the most relevant information.
Deep learning: This is a type of structured or hierarchical machine learning algorithm. It is based on an artificial neural network and allows better prediction and classification of data.
To use a deep learning system, a human must manually categorise some data that will be used by the machine to start the learning phase. Afterwards, it will be the machine alone that will find the precise information to model the algorithms.
Example of deep learning for R&D: Opscidia analyses the flow of scientific publications in specific fields to extract predictive analyses such as emerging trends, existing trends, etc.
App Opscidia : Un graphique trie les articles scientifiques en fonction de la pertinence et du nombre de citations.
Language models: allow the distribution of word sequences in a natural language to be modelled. These models can then be used to predict the next word in a sequence of words (sentences), which is extremely useful for many applications. Language models have already proven their worth in several areas, including machine translation, speech recognition and sentiment analysis.
An example of the use of language models in R&D: A language model trained primarily on scientific papers allows the complex terms used by scientists to be understood and interpreted. One can then make coherent syntheses of several scientific articles with a few clicks.
How Opscidia uses artificial intelligence for innovation.
As we already know, most companies are looking to include artificial intelligence in their most complex and time-consuming processes
In the innovation process, the intelligence stage is an essential but very time-consuming step. However, intelligence provides essential information to launch an innovation process.
Opscidia has chosen to optimise the intelligence stage by proposing a platform that processes scientific articles with AI to provide high strategic value tools for your technological intelligence to innovate.