R&D Engineer in Artificial Intelligence and NLP M/F

It is within the framework of its annual conference cycle that we will visit the premises of the school Supinfo Paris to present the subject of our professional conference.
On November 09 at 5:10 pm, El Hassane Ettifouri – Doctor in AI & Software Engineering and Sanoussi Alassan – Data Scientist at Novelis will present to the students on one of our favorite topics – automation – by answering the following question: can software engineering be automated?
They will also address the topics of Low Code, No Code and Artificial Intelligence.
Smart Automation represents RPA technology enriched by the power of AI. Smart Automation = RPA + AI
On the conference agenda:
➡️The Low / No code revolution
➡️A path to artificial developers
➡️The AIDA artificial developer
➡️Demonstration
Artificial intelligence or AI is a multidisciplinary computer science that can predict conclusions without any direct human intervention.
To do this, it needs :
AI was primarily designed to provide solutions to complex problems that humans are not 100% capable of solving.
How has AI made its way into medicine today and how will it revolutionise the world tomorrow?
AI is now being used in a number of areas ranging from agriculture to automotive, medicine and healthcare services. It took several years before AI and e-health knowledge engineering could be proven in medicine and biology. Some AI-based projects related to healthcare have even attracted more investment than those in other sectors of the global economy.
40% of pharmaceutical and life sciences companies say they have already deployed AI technologies and are satisfied with the results.
Quite encouraging.
But what is the reality? Hospitals and clinics often have vast amounts of medical data at their disposal. But how do we process all the data intelligently without the risk of missing out on information that is crucial to the quality of care?
When confronted with too much information, information overload leads to misinformation and this can lead to dysfunctional decision-making throughout the organisation.
AI will thus be able to intervene in the process by modelling and analysing data to predict diseases and find cures, notably thanks to: innovative treatment materials; the estimation of life expectancy; the speed of diagnoses; and finally the rapid understanding of correlations between certain factors and our health conditions.
From the data and with the help of Deep & Machine Learning, AI-based computing power can predict significant trends.
AI-based solutions in the medical field are growing rapidly and are above all very diverse. Here are some classic examples:
Let’s focus on the 4 main applications of AI in medicine today, which have been very successful in recent years:
The healthcare sector is evolving as AI and Machine Learning gain popularity. Studies show that spending on AI in the medical sector is expected to increase by 48% at an annual rate between 2017 and 2023.
Several predictions can be made about the impact that AI will have on healthcare in the near future. Here are some of them:
According to BMC Medical Informatics and Decision Making, an AI was able to analyse the clinical notes of 55,516 EHRs comprising 150,990 notes and identified 3,138 prostate cancer patients in just 8 seconds. 8 seconds! Imagine how long it would take a human to achieve the same result?
The next few years will be crucial for Artificial Intelligence and medicine. If technical advances continue to progress at this rate, the growth of innovative technologies in medicine will be pharaonic!
Today we present you a transcript of an interview conducted by NICE welcoming Olivier Chosson, COO & founder of the company Novelis (www.novelis.io) – consultants in technological integration (Automation, OCR, NLP, IA, micro-services, development of business applications) – who discussed a question relevant to key decision-makers: how to accelerate my digital transformation projects with RPA technologies?
NICE: Hello Olivier, so how did this confinement period go for Novelis and how is the recovery going?
Olivier Chosson : Hello everyone. I think Novelis lived through this period much like most companies in the sector. Project stoppages in March and April, and now an intense recovery, especially around automation issues.
We also took advantage of this rather quiet period to reflect on our support strategy for the coming quarters, review priorities, and initiate new projects. I also want to say that during this period, working from home allowed us to increase empathy with our contacts, whether in the private or public sector. The relevance of Novelis has further increased.
NICE: At Novelis, how do you see the topic of RPA for the coming quarters?
To answer the question, the topics on automation will continue to progress in the coming months. The challenge is to go beyond the few robots in the accounting and finance back-office and to manage systematically other departments. For example, a large American pharmaceutical group has taken it to the next level by automating more than 450 processes. At NICE, they support large international groups in deploying thousands of robots. It is, therefore, possible and it works from the moment when we follow a relevant methodology, whether we know how to identify the eligible processes no matter how complex they might be. It is important to go beyond the short-term dimension and be able to offer business models at the organizational level. Otherwise, this technology would only be a functional “add-on” in the IT architecture of the organization.
NICE: How do you address this problem of identifying eligible processes to propose a roadmap that is both ambitious and realistic?
We have two approaches. The first is our Process Assessment offer. It is the ability to mobilize our best experts in business analysis to identify, alongside our customers, the processes that can be automated. To do this, we apply a methodology combining interviews with business executives, shoulder surfing the employees accomplishing the tasks, and analyzing intrinsic data linked to each process: duration, applications involved, nature of the technologies used, structured, or unstructured data. Following this qualification audit, a decision-making summary is presented to our client, in which we prioritize processes to be automated by their complexity and associated ROIs. By integrating this general vision, decision-makers have the means to make the right choices.
At Novelis we are also primarily technical architects. These recommendations are made in compliance with urbanization rules and with the concern of building maintainable and scalable solutions and architectures. With this in mind, IT Departments who lack the technical expertise must not be omitted from these projects.
The second approach is technological and based on artificial intelligence. By installing a solution such as NICE’s Automation Finder, we can get extremely precise insights of processes, but even more so, of tasks that can be automated.
This technology is very helpful for accelerating an automation roadmap within a company!
Besides, its implementation is really simple because it only requires installing an application on the team’s workstation. This approach respects all security constraints for personal life through observed applications’ white- and blacklists and the fact that the compiled data is not integrated within the apps’ unitary origins.
After a period of 15 to 20 days, the data is consolidated and analyzed by the solution using artificial intelligence. It is then possible to identify the tasks that can be automated. The solution summarizes the following:
To our point of view, starting with the first phase of process evaluation and then launching an automatic detection initiative seems to be the best approach.
NICE: Can you tell us about an Automation Finder project and what it helped you bring to your client?
Often when trying to automate tasks, the stages of a process in which human insights are involved can be complex because it usually requires human validation, which is a big responsibility. However, some steps in this process can be optimized and automated.
This is why we carried out this project with our client and the results were very relevant. We have identified the following processes:
Beyond these benefits linked to saving time, securing data, and the ability to deliver an optimal customer experience, the quality of the employees’ work has also improved: unnecessary and uninteresting tasks are entrusted to the Desktop Automation part.
NICE: In terms of time and budget, where do you stand?
This is also what’s interesting with RPA technology. Implementation budgets are manageable. Projects are set up quickly and ROIs are as measurable as heavy ERP migrations, and yet faster to achieve. This is not a quick fix. But as the London School of Economics recalled at an English fair about automation: RPA is the technology that offers the highest ROI compared to all other observed technologies.
At Novelis, our consultants and engineers are pragmatic. Indeed, organizations need new strategies, a roadmap, and principles of governance, but above all, they need to maintain common sense and to be operational with the delivered quality and the provided value. Automation Finder has been designed to trace facts and quantified data. Such a solution is clearly the second stage of the RPA rocket.
Thank you to the NICE team for this interview!
On March 29, 30 & 31, come and hybridize your customer relationship and reimagine the field of possibilities of intelligent automation with Novelis.
This reference event on customer relationship will allow professionals to go further in their reflections and to discover in a concrete way the contribution that automation, AI and RPA can have on a large number of companies.
Novelis will be present to showcase its expertise in customer relationship management.
The Stratégie Clients exhibition is 3 intense days to optimize your customer relationship. The crisis of the Covid-19 has severely impacted all sectors of activity and the customer relationship has not been spared, it has been totally transformed: more hybrid, digital and agile.
Customer service has evolved a lot in the last few years. At a distance, the relationship is often governed by algorithms and voicebots and the need for more human relationship is felt.
The customer now wants to benefit from the efficiency and high availability of machines and at the same time from the sensitivity and finer appreciation of their requests by humans. Clearly, today’s customer wants a hybrid relationship to make the most of both worlds.
The customer strategy of companies must evolve at the same pace as the expectations of their customers and we believe that Artificial Intelligence and the automation of processes by robots is the solution.
This exhibition is the ideal moment for all those who wish to discover these new ways to hybridize customer relations, improve their uses, enrich their strategy, exchange with their peers and find innovative solutions.
As a Pure Player in business process efficiency, we use automation as a lever to boost call center productivity and improve the customer experience.
We support our customers in their intelligent business process automation projects with Smart Automation. We enable companies to transform the experience of their customers and employees.
To learn more: discover our Business Case “Automation at the service of the customer experience“
On 28 & 29 September, come and unleash the full power of your data and re-imagine the realm of possibility of Artificial Intelligence with Novelis.
This leading European event on Big Data & Artificial Intelligence will allow professionals to go further in their thinking and to discover in a concrete way the contribution that Big Data & AI can have on a large number of businesses.
As a sponsor of the event, Novelis will welcome visitors on stand S25 in the Startup village to present its work and expertise in Artificial Intelligence.
The result of the merger between two key tech events in France and Europe, Big Data Paris and AI Paris have become one and the same, given the close links between the Big Data and Artificial Intelligence markets.
This event dedicated to the advances in AI and Big Data has been concentrating for 10 years a set of quality contents thanks to the intervention of important actors of the sectors and the sponsorship of innovative companies, such as Novelis. Indeed, more than 150 companies representing Big Data & AI, large accounts as well as young companies and innovative start-ups, will be present to challenge each other during conferences and workshops on various subjects: feedback, expert courses, demonstrations of innovative solutions, current and future Tech-oriented sessions.
More than 15,000 professionals will also be present. This is a great opportunity to exchange with various profiles during networking, to create partnerships or to spot potential talents.
Once again this year, the event will focus on Artificial Intelligence and it is on this point that Novelis will intervene and bring its expert view.
At Novelis we believe in scientific research to advance new technologies and for this we invest up to ¼ of our turnover in R&D. It is in this sense that our R&D Lab continues to make progress on disruptive technologies as part of our partnership with the AI Laboratory of the Ecole Polytechnique de Paris.
During a 30-minute conference, Mehdi Nafe, CEO of Novelis, and Abdelkader Rhouati, PhD Researcher and Software Architect, will speak about the challenges of Artificial Intelligence and its advances by presenting one of the works of our R&D Lab: AIDA (Artificial Intelligence for Development Assistant) – a smart-programming solution integrating AI & NLP.
What if 60% of your IT projects were automatically generated thanks to Artificial Intelligence? AIDA is the first squad of smart agents to support developers in their daily work.
The solution is capable of exchanging in natural language with developers to generate code and thus create applications.
Extract from the conference:
In this session, come and discover the first squad of smart agents to support developers in their daily work. Based on the model of an IT team, our specialised agents are materialised in micro-services to collaborate with developers and simplify their development tasks based on human language specifications. AIDA assists developers in four areas: application architecture, front-end development, back-end development and database development.