The AI tool, ChatGPT, has become a popular topic of discussion worldwide due to its versatility and efficiency. Since its launch on November 30th, 2022, ChatGPT has proven to be a reliable tool for completing complex tasks and making them simpler. Whether it involves cracking the UPenn Wharton MBA exam, writing admission essays for Ivy League schools, or completing basic tasks such as writing emails, posts, recipes, and more, ChatGPT can handle them all. However, there are certain professions that require traits such as creativity, empathy, critical thinking, and human interaction, which AI cannot replace.

The advanced technology of OpenAI-powered ChatGPT and the recently launched GPT-4 has created fear among people, especially IT professionals who are already experiencing mass layoffs. This has raised the question of whether ChatGPT will replace programmers and other IT professionals.

The ongoing competition among AI chatbots such as ChatGPT, Google's BARD, Microsoft's Bing, ChatSonic, and China's Baidu App-powered Ernie has increased the fear of job loss or replacement among IT professionals. In 2023 alone, 503 tech companies worldwide have laid off 1,39,165 employees, and the rise of the AI chatbot era has contributed to a certain percentage of this ongoing tech layoff.

A recent Goldman Sachs report predicted that 300 million jobs are at risk of being replaced or becoming obsolete. The report also stated that 4% of jobs in Europe and 25% of jobs in the US could be automated. With this in mind, the fear among IT professionals regarding the replacement of their jobs by advanced AI technology is valid.

AI has certainly helped to unburden many tasks and simplify workloads, but even with advanced technology, there are still some job roles that AI won't be able to replace so easily in the current and future scenario. Here are 7 IT jobs that AI can't replace:

• Prgrammers: While AI can assist in coding to a certain degree, creating complex code is still beyond its range. Programmers use AI as their assistance, but the major work needs to be done by them manually. Junior developers/SDE-1 can get replaced by AI for easier tasks, but programmers are safe as long as they upgrade their skills, understand the client and business's requirements, debug code, plan how the software should work, find and fix mistakes, test software, and improve it based on feedback.
• Hardware Technicians: While AI can provide suggestions and recommendations for hardware issues, it cannot physically repair or replace hardware components. A hardware technician diagnoses and repairs problems with computer components, such as CPUs, motherboards, and hard drives. To fix issues and ensure that the computer runs properly, they often work with specialized tools and equipment.
• Cybersecurity Analysts: AI can assist cybersecurity analysts in identifying and responding to potential threats, but it cannot replace them. Cybersecurity analysts analyze and respond to cyber threats, such as hacking attempts, viruses, and malware.
• Data Analysts: AI can assist data analysts in processing and analyzing data, but it cannot replace them. Data analysts collect, process, and perform statistical analyses of data to identify trends and insights.
• Technical Writers: AI can assist technical writers in generating reports and documentation, but it cannot replace them. Technical writers create and edit technical documentation, such as user manuals and training material
• Network Administrators: AI can assist network administrators in managing and monitoring networks, but it cannot replace them. Network administrators install, configure, and maintain computer networks and ensure network security.
• Web Developers: AI can assist web developers in designing and building websites, but it cannot replace them. Web developers create and maintain websites and web applications, ensuring they function properly and meet user needs.
• In conclusion, while AI can assist in many tasks, it cannot replace the skills and expertise of human workers in many IT job roles. Upgrading skills and focusing on tasks that require creativity, critical thinking, empathy, and human interaction can help workers stay relevant and secure in their jobs.

On 4 April, cloud services provider AWS welcomed more than 9,000 people to the Palais des Congrès in Paris for its annual event, AWS Summit. It was an opportunity to review the investments made in France and the desire to expand in Europe. The cloud giant also announced the launch of two programmes aimed at start-ups.

Amazon Web Services (AWS) was present in Paris on 4 April to give an update on its cloud solutions and to highlight its customers and partners. The American provider is making a comeback with its Summit 2023. Julien Groues, country manager of AWS France and Italy, launched the day with a keynote speech in which various customers spoke about their migration to AWS tools. For the occasion, Mai-Lan Tomsen Bukovec, VP of Technology AWS was also present in front of more than 9,000 people (8,000 entries were registered in 2022). During this morning, the testimonies were multiplied. Alix Boulnois, chief digital officer of Accor and Cédric Lewandowski, executive director and director of the nuclear and thermal park of the EDF group, spoke about the reasons that led these two large French companies to adopt AWS solutions.

Other companies also shared their feedback, from a distance. These included Air Liquide, Compagnie des Alpes, eTF1 and more recent companies such as Hugging Face, Mano Mano, Metron and Swile. The objective is clear for the cloud giant: to remind people of the extent to which it is everywhere, in all sectors of activity and with ever more varied use cases. "AWS in France represents 6 billion euros of investment over the 2017-2031 period. More than 80% of the CAC40 and more than 75% of the Next40 are customers," says Julien Groues. To date, the firm has no less than 1,000 employees spread between Bordeaux, Lille, Lyon, Nantes, Paris and Toulouse and claims to have trained more than 100,000 people in the cloud.

Europe, a rapidly expanding market

At European level, the figures speak for themselves: 42% of EU companies use the AWS cloud. Defining itself as "competitive, secure and sustainable", it is not afraid to ride the green trend that is taking hold of the continent to be more attractive. "We are working hard to build a sustainable infrastructure. This includes the energy we consume. 95% of the electricity we use in Europe for our data centres is from renewable sources. Praising the savings that companies can make by switching to the cloud - in the order of "30% on average" - Julien Groues took advantage of the event to make a subtle announcement: the launch of the European Defence Accelerator for start-ups.

In its press release, the company said that "the aim of this accelerator is to support start-ups with AWS technologies to deliver energy resilience, secure information sharing, sensing and decision-making, quantum and cyber resilience solutions to support a range of customer needs"In the sights, it is the Defence and National Security sector that is obviously the end customer. In detail, the accelerator is open to start-ups from all over the world who want to do business with defence and national security organisations across Europe. The four-week programme offers a combination of technical support (including the provision of the vendor's cloud technologies), commercial support (including go-to-market advice and investment guidance) and mentoring, all in partnership with Plexal, a UK government-backed IT company. Around 15 start-ups will be selected after demonstrating the existence of customers and revenues and the ability to use AWS cloud services to solve the challenges of defence and national security missions. Applications are open until 1 July 2023.

AI is not left out

AWS has understood that artificial intelligence is on the rise, and even more so the generative version. Even though it has been working on AI and machine learning for years, it wants to stay one step ahead of the growing number of competing solutions. To this end, the firm today announced a Generative AI Accelerator, a programme aimed at helping early-stage start-ups in the generative AI sector in their development. Over the course of 10 weeks, founders of these companies will undergo a programme on go-to-market strategies tailored to generative AI, machine learning stack optimisation, and will also have access to the latest AI models and tools. Applications for the programme are open from today and will be accepted until 17 April.

No-code accelerates development while greatly reducing costs. What are the eligible use cases? Which companies use this approach? What are the obstacles to overcome? Here are some answers.

No-code is set to reshuffle the deck in development. By avoiding the use of traditional computer languages, this approach makes it possible to develop websites and web applications up to three times faster, at a cost that is at least halved.

No code is one of the answers to the shortage of developers and the desire to reduce the "time to market", a key factor in the development of new products.
"time to market", a key factor in digital transformation. It also contributes to the digitalisation of small and medium-sized businesses with limited budgets.

According to the research firm Gartner, 80% of technological products and services could be designed by non-computer scientists by 2024. From a 100% graphical interface, a
From a 100% graphical interface, a "maker" or "product builder" assembles pre-parameterised functional bricks in the manner of a Lego, establishes the workflow of the future solution, then links it to a database.

In itself, the desire to create applications using as little code as possible is not new. The phenomenon goes back a few decades with integrated development environments (IDEs) and software engineering workshops such as Microsoft's Visual Basic or WinDev.

How, then, can we explain the explosion of no code? For Maxime Topolov, co-founder of the code.store agency, "the phenomenon benefits from the multiplication of APIs allowing front end applications or dashboards to interact with the company's applications and data.

No-code: filling the gaps in CRM

What are the eligible use cases? From simple spreadsheets to custom CRM and business process automation, the spectrum is wide.

In the field of customer relationship management or e-commerce, there are many vertical niches that are not completely covered by market solutions such as Salesforce or HubSpot," continues Maxime Topolov. The no-code will, for example, allow a barber to have a dedicated CRM.

One of the first no-code projects that Christelle Curcio, co-founder and chief makers officer of the Alegria group, worked on was also a CRM for a law firm.
"The idea was to determine the three most relevant prospects to invite to lunch during the month. No software on the market answered this question.

The no-code also makes it possible to overcome the functional shortcomings of business software packages and other ERPs.

"To fill in the gaps in the data, operational staff use Microsoft Excel or Google Sheets," notes Maxime Topolov.

Christelle Curcio agrees. "An off-the-shelf solution does not cover 100% of a company's needs and the company only really uses 10% of its functionalities. The publisher follows its product roadmap and cannot afford to do customisation.

The use of no-code also favours the automation of all manual processes, particularly in the support functions of finance, marketing, communication, IT or HR. For example, a company will have a tool for booking meeting rooms or an internal workflow for validating expense reports.

"This allows both productivity gains and the release of energy by relieving employees who were carrying out these repetitive and time-consuming tasks," observes Christelle Curcio.

Maxime Topolov cites as another example the case of an application developed to manage breakfasts within a hotel chain. "Instead of printing out an A4 sheet every morning and crossing out the names of the guests present, the hotel staff use a tablet. The guest's name and room number are automatically transferred from the ERP system.

Co-founder and CEO of Cube, Pierre Launay started working with Airtable and Make (formerly Integromat) precisely because he wanted to maximise the processes of his agency. "I quickly saw the value of these tools. Once you've had a taste of no code, you try to optimise all the low value-added tasks such as reconciling an invoice and a quote.

He also believes that no-code can be used to test a new market's appetite for a product or service. He cites the case of the temporary employment agency Gojob, which wanted to export its model. "It was quickly able to see that the American market responded favourably to its offer, but not the British market. More generally, Christelle Curcio believes that the no-code culture frees up the potential for creativity. "How many times have I heard: if I knew how to code, I would do a lot of things? As a trained designer, I was personally frustrated by having to stop at the mock-up stage. Today, I can go to the end of my ideas without depending on the IT department. In this sense, the no-code represents, in his eyes, a real technological and societal revolution. "Engineers are no longer the only ones to govern the digital world. Everyone can become an actor in their digital life. However, no-code is not intended to replace hard coding, but to complement it. There will always be a need for traditional developers, if only to maintain critical systems such as ERP, based on a strong legacy.

Setting a governance framework

Today, it is advisable for a company to establish rules of governance. Which projects are eligible or not for low code-no code, depending on the existing situation and the level of integration with the information system?

To answer this question, the Colas Group has set up a dedicated centre of excellence and opened a development factory dedicated to low code-no code alongside those for the PHP and . Net environments. At the same time, Colas is pursuing a policy to promote citizen developers, these business experts who, thanks to low code-no code, are able to create their own applications.

The world's leading construction company identifies employees who have designed applications used by more than one person in order to support them, guide them in their choices, but also make them aware of the risks. "When an application becomes critical, we need to be able to take it over centrally in order to maintain it in the event of the creator's departure or leave," says Jean-Michel Maillet.

A low-code-no-code project remains a project like any other with its quality and maintainability requirements.

The Californian publisher gives in to the temptation of generative AI. Einstein GPT combines Salesforce's proprietary AI for CRM with that of OpenAI. Its model is trained with public data, but companies can feed it with their own data.

Salesforce took advantage of its Trailblazer DX developer conference in San Francisco on 6 and 7 March to announce its generative AI. Einstein GPT is, as its name suggests, a combination of the editor's proprietary Einstein technology and ChatGPT-type models. The Californian company will enter into partnerships with various suppliers, starting with the best-known, OpenAI, the originator of ChatGPT, Dall-E and Whisper.

Salesforce has integrated Einstein GPT into its business applications for sales, service, marketing, sales and IT. The solution is already interfaced with Mulesoft, Tableau and Slack. For example, a sales team will use it to identify new prospects and relevant people to contact, whether or not they are already in the company's CRM. The AI will then suggest to the sales team that they start a conversation with their target by email, based on previous exchanges, among other things. Employees can directly edit these pre-written texts, but can also ask the AI to rewrite its messages in a lighter tone, for example. Unlike consumer AI such as chatGPT, interactions between "humans" and Salesforce's generative AI are integrated directly into the user interface of business applications,

A human in the loop

The trauma of cognitive bias in AI does not spare Salesforce. Clara Shih, corporate vice president and general manager of Service Cloud, was quick to quote the now hackneyed Spiderman line: "With great power comes great responsibilities". The Einstein GPT teams are working closely with the publisher's ethics department, without giving further details. Moreover, Jayesh Govindarajan, senior vice-president of AI and machine learning, has repeatedly stressed the importance of systematically keeping a "human in the loop". This is as much about ethics as it is about the ability to verify the ownership of the data used or the relevance of the results of queries sent to Einstein GPT.

Like OpenAI, Einstein GPT trains with public data. But not only that. It can also draw on databases that companies subscribe to. As Jayesh Govindarajan explained at the press conference, Einstein GPT will use "large language models (LLMs) such as GPT-3, applied to semi-public paid databases, such as weather for example". But above all, following on from Einstein, which has been available since 2016, it is a generative AI optimised for CRM that Salesforce has developed.

Training the model with the company's data

A company can therefore choose to train the AI with its own data from the Salesforce Data Cloud. This is a way of obtaining personalised content, adapted to the specific context of the company. "Customers can connect this data directly to OpenAI's advanced AI models or opt for another external model and use a natural language prompt directly from Salesforce CRM to generate content that can be adapted in real time to the increasingly changing behaviours of consumers," explains Salesforce in its press release.

Automatically supplementing developers' code

In addition to its business applications, Salesforce is also making its generative AI available to developers. According to the publisher, its AI will draw its knowledge from a company's "in-house" programming by training its model on the lines of code already written in the company. "The principle is the same as Google's auto-complete suggestions," noted Jayesh Govindarajan. Einstein GPT will offer the developer a portion of code to continue their programme.

The Californian also took the opportunity of its announcement to confirm the integration of ChatGPT into Slack (see below). "This app includes AI-based conversation summary creation, search tools on any and all, and message writing assistance." Finally, Salesforce is creating a new $250m Salesforce Ventures fund to support "generative AI startups and create a responsible ecosystem in the field".

45 years is a good age for a company. For its anniversary, Aveva is launching a new version of its PDMS plant design solution, combining innovation and continuity for a community of users who are not inclined to technological breakthroughs.

A company of engineers serving engineers

Everything3D (E3D) is the new face of PDMS, the plant design software developed by Aveva. The editor's flagship tool needed a serious facelift to bring it up to market standards. But it was a gentle facelift, as CTO Dave Wheeldon explains, "It's about innovation without technological disruption. Our customers need to maintain full data compatibility from one version to the next. They also need to be able to customise their solutions, integrate their own developments or off-the-shelf software, without calling in IT specialists. This is why the software is always based on the same proprietary database and design mechanisms. This is a must in an industry where projects are constantly growing in size and where the development time can be several years.

This is an obligation in an industry where projects are constantly growing in size and where the development time can be several years.

So, how does this change in continuity translate? During the presentation of its new software to the press, the editor remained particularly vague about the new features introduced in "E3D". It was the concept of "Lean" that was emphasised, with the corollary of the need for work teams to be able to communicate information on the progress of projects with each other, and this from anywhere in the world. Dave Wheeldon says, "It's about responding to three major trends that we're seeing with our customers, plant designers and operators, ship designers: the widespread use of cheap 3D acquisition systems, mobile computing and cloud computing. Techniques that allow operators on construction sites to send crucial information back to the design teams in real time via updates and laser-scanned data, allowing corrective action to be taken without running out of time. "We can add a sociological trend: the new expectations of young engineers with regard to the IT tools of their daily lives, more fun, ease of use and responsiveness," continues Dave Wheeldon.

Cloud, mobility and point cloud

On a practical level, we were able to glean some information. First and foremost, the software retains its relational database architecture, a provision that allows it to handle large projects with multiple stakeholders. To facilitate the use of point clouds used for maintenance or revamping operations, E3D has new as-design/as-built comparison tools. For example, Bubble View allows you to position yourself at a precise point in the model to visualise the point cloud with a high degree of precision, without necessarily using a specific point cloud processing tool. The point cloud can also be used for clash detection.

To facilitate collaborative work, the network aspect, check-in/check-out, caching of data on workstations, etc. have been optimised. Engineers can thus work simultaneously on the same project from different locations, with a gain in performance, but lower bandwidth. A system of tokens allows the company to use its licences as if it were an internal SaaS and therefore to distribute them dynamically according to its needs.

In terms of drawing, a major phase of development, Everything3D benefits from the integration of an AutoCAD clone and, in passing, a modern interface based on Windows 7 standards. Finally, with E3D, PDMS moves from an OpenGL graphics base to DirectX, which is more powerful.

On the cloud side, things are not set in stone. At the press conference, Aveva's technical director presented a 3D digital model of a factory on a Windows touchscreen tablet, with the possibility of moving around within it, but this was a prototype. Data hosting in the cloud? On the customer's server? Only downloaded to the tablet? Use of 4G? These are elements that will not be defined before the end of 2013 within a commercial solution. For the moment, E3D runs on the client's servers, but allows for the integration of a Cloud architecture.

Microsoft has announced the availability of Azure OpenAI. It allows companies to integrate services such as GPT, Dall-E or Codex into their cloud applications. The highly publicised ChatGPT should arrive soon.

It was Satya Nadella, CEO of Microsoft, who announced in a blog the general availability of Azure OpenAI. It must be said that the subject is trendy with the recent media coverage of ChatGPT and the financial interest of the Redmond firm in the start-up. In concrete terms, Azure OpenAI has been in testing for a year and offers companies the opportunity to integrate OpenAI tools into their cloud applications.

Among these services, companies will be able to use GPT version 3.5, which is the generative AI engine used by ChatGPT and PowerBI. There is also Codex, the basis of Copilot, GitHub's code completion solution and Dall-E, an AI-based image generator. Among the uses, the Microsoft boss highlights some feedback from test customers such as Al Jazeera, which works with Azure OpenAI on content extraction, translation and topic scheduling. For its part, KPMG relies on the tool to make "significant gains" on its CSR tax system.

ChatGPT will arrive soon

However, ChatGPT is not yet included in the Azure OpenAI package. In his presentation Satya Nadella indicated that this service would arrive soon. Microsoft believes in the potential of the conversational assistant to the point of wanting to integrate it into several services such as the search engine Bing or in several programs of the Office suite (Word, PowerPoint and Outlook). At the Davos forum, the executive said that tools like ChatGPT are needed to boost productivity. "We need something that really changes the productivity curve, to have real economic growth," he said.

Lastly, the availability of the service is announced as general by Microsoft. But our colleagues at The Register have noted that the service is available in four American regions and one in Western Europe. It is likely that the announcement effect is spread over time on the deployment and that Azure OpenAI will be fully operational for all in a few days.

As a long-standing partner, Renault is strengthening its ties with Google Cloud around two axes: connected vehicles by creating a specific OS based on Android and the extension of digital twins to all of the automotive group's activities to develop future uses.

New technologies sequence for Renault, which yesterday unveiled its strategic plan by highlighting advanced partnerships including with Google Cloud around the connected vehicles of tomorrow via its subsidiary Ampere (electric vehicle and software), but also on the digital transformation of the company. The two companies know each other well and have been working together since 2018 with a first agreement on the Android Automotive OS integrated into cars (including the Mégane E-Tech). In 2020, it had been strengthened around a particular business need: paint optimization on vehicles. The automotive group used Google's computing power and artificial intelligence and machine learning processing to meet this task. The result was expected to be energy savings of 10 to 20%.
The creation of a dedicated and standardized OS

Today, the partnership is moving up a notch around two pillars: the vehicle and the company's digital transformation. On the first point, "we want to go further than just integrating Android Automotive by creating a real operating system for the vehicle," says Frédéric Vincent, Renault's CIO. He adds, "There is very little standardization in this area. Today, we have to deal with 80 to 60 ECUs and 5 to 7 domain controllers. For each new service, we have to make changes to the hardware. For example, it takes two years to create a virtual key.

Hence the idea of having a standardized and open digital architecture that the manufacturer calls SDV (Software Defined Vehicle). The Android-based platform will manage the middleware and applications. "The specifications are demanding, the platform must be long term with support over ten years, scalable to accommodate future services, open to facilitate the connection with the data and be offered to other OEMs," continues the CIO. The first results of the partnership, which also includes Qualcomm on the component part around Snapdragon, are expected by 2026 with the release of FlexEVan.

A generalization of digital twins

Obviously this pillar could not work without the help of the second axis of the agreement around the continuation of the carmaker's digital transformation and in particular digital twins and the cloud. "On the digital twin, we started on the production plants and this has proven to be a great asset to adapt the lines according to the shortage of components. We now need to go further by creating digital twins for all the group's activities," says Frédéric Vincent. To achieve this, the manufacturer will accelerate its "move to cloud" strategy initiated in 2017.

"We are clearly committed to a cloud first approach, there is no new development today that is not done in the cloud. But Renault is a 120-year-old company with a significant application heritage. We are therefore remaining pragmatic about this migration," says the CIO. He adds, "the challenge for the company is to get rid of the skills on the infrastructure, both on the network and on the storage. Hence the preferred partnership with Google Cloud. The IT teams of the manufacturer prefer to focus on the development of new services from the collection and analysis of data. "The first work is focused on predictive maintenance of vehicles," says Thierry Cammal, general manager of Renault Software Labs. But the group is looking at other uses, such as bridges with insurance companies, which can adapt their offers according to driving data. Renault will therefore provide information on drivers, who will see their premiums rise or fall.

A recent study predicts increases next year in most digital occupations in France. Among the roles that are expected to benefit, developers, network administrators, product designers and cyber specialists rank high due to higher demand.

On the occasion of the publication of its 2023 Salary Guide, the recruitment firm Robert Half expects salaries to increase compared to the current year for most IT and digital jobs. In this French ranking, five functions stand out in the information systems, digital and commercial categories. Code professionals are always in high demand and will still be in a strong position during salary negotiations. As a result, an entry-level development engineer will earn €40,000 in gross annual compensation in 2023 and up to €60,000 if he or she has advanced expertise. Lead developers are expected to do even better, with salaries ranging from €55,000 (low end) to €80,000 (high end) next year.

Robert Half also forecasts salary increases in systems and network administration and product design (between €40,000 and over €55,000 respectively, depending on the degree of expertise). The same is true for the IT security sector, where the pay slip shows €50,000 for a cyber specialist at the beginning of his or her career and up to €70,000 for an experienced profile. In the sales disciplines, IT sales managers (or sales executives) will also be among the 5 best valued professions with an average salary of between €45,000 gross per year (for a junior profile) and €70,000 (for a senior profile).
IT projects at the heart of priorities

After the economic situation of companies plummeted at the beginning of the health crisis, the recovery seems to be here. Thus, CIOs show a high level of optimism supported by the investment in IT projects and their deployment over the past two years. 73% are more confident about their company's growth prospects for the coming year than they were last year (compared to 60% in 2021).

Increased financial resources and budgets (49%), increased headcount (42%), and expanded business opportunities (40%) explain this paradigm shift. Against this backdrop, 89% of IT departments plan to recruit in the coming months, and nearly a third (31%) anticipate creating new positions. However, they say they are held back by a shortage of technical profiles, leading to increased competition.
Recruitment difficulties set to continue

Indeed, 90% of CIOs expect it to be as difficult or more difficult to recruit in 2023 than in 2022, while 49% believe it will be more difficult. 68% are concerned about their ability to attract the best candidates. The salary criterion cited by 40% of respondents is the number one concern when it comes to attracting talent. Their main concern? Seeing their best talent being poached (36% of respondents). Logically, CIOs' recruitment challenges focus on their ability to identify and secure the most qualified profiles. As evidence of this, 34% cite finding talent with the right skills as the number one issue. Another 31% cite the ability to compete.

One of the highest turnover rates in the market

When asked which categories are the most difficult to find, 36% of IT managers mention cybersecurity, 34% cite network management, while 33% point to cloud and infrastructure. CIOs are also looking for the soft skills needed to drive and advance projects. The preferred qualities are teamwork (31%), as well as motivation and adaptability (26% respectively). For Quentin de Beaufort, Director at Robert Half France, IT specialists will continue to be under pressure in 2023, as the shortage of profiles is still strong, as are the needs of companies. Not to mention the fact that this field is not spared by a phenomenon of high turnover.

"More than a third of CIOs (34%) have seen an increase in turnover over the past year," says the executive. "The importance given to recruitment strategies will be essential to attract and retain talent, he recommends. It will be necessary to play on the salary criterion of course, but also to meet the requirements of candidates in terms of flexibility, but also of corporate culture, which are particularly strong for these profiles," he concludes.

In terms of popularity, Python, Java and C++ still occupy the top three spots in Anywr's ranking of the most used computer languages. But with the arrival of low/no-code technologies, this ranking could change rapidly, driven by the challenges of the developer deficit and the ecological transition

ompanies will place more and more importance on no-code technologies to cope with the shortage of developers and energy challenges. This is the main finding of Anywr (formerly Cooptalis) in its latest barometer of the most in-demand IT languages. To carry out this survey, the platform specialising in the recruitment and placement of candidates analysed a sample of more than 1,000 international job offers in the IT professions between January and September 2022. The results reveal two trends. On the one hand, a concentration of companies' needs and projects around a few languages and uses. On the other hand, recruiters are increasingly interested in automation platforms. In this ranking, it appears that the six languages that came out on top, namely Python, Java, C++, Javascript C and PHP, alone represent 50% of the job offers analysed. As a reminder, according to the State of the Octoverse report published by Github every year, there are 370 computer languages commonly used in the world and to which developers regularly contribute. The concentration phenomenon is therefore particularly marked here.

A timid but noticeable arrival of Rust

However, the study indicates that despite its number one position, Python is regularly singled out as a major resource consumer. As a result, it could give way to certain outsiders, notably Rust, which came in 22nd position and is considered to be high-performance and less memory-hungry. In addition, the trend towards low or no code technologies, which allow applications to be developed without mastering the usual computer languages, is likely to gain ground given the growing shortage of developers. This phenomenon could turn this ranking upside down in the years to come, warns the recruitment platform.

In the meantime, Python remains the big winner in terms of popularity, despite its low speed and high memory consumption. The reasons for its success are its numerous development possibilities in machine learning, AI, big data, data science, video games, robotics and cybersecurity. Ease of use and learning, various frameworks and a very active community also explain its growth. In this trifecta, we find Java in second place. The native language of Android has been in the top three for a very long time. For its part, C++ has made a strong comeback, reaching third place in the ranking, where it has been in the top 10 computer languages since 1986.

Still a strong need for IT development

After the leading group of general-purpose languages, come the technologies associated with more specific uses - SQL and NoSQL for databases, HTML, CSS or JavaScript for hypertext - and those more recent and particularly recommended by certain operating systems for coding native applications, such as Kotlin for Android. For the time being, before these possible changes, the continuing digital transformation of companies and the persistence of needs for website development (back and front end), web and mobile applications, combined with the acceleration of IT projects linked to the exploitation of data, explain the order of appearance of programming languages in this ranking.

Source: www.lemondeinformatique 

The BMW Group and AWS (Amazon Web Services) today announced a strategic partnership that will see the two businesses together develop cutting-edge cloud technologies with the goal of fully using the data potential of upcoming car generations. Additionally, the two businesses are working together to create commercial, ready-to-use cloud solutions for safely handling car data. Like in all prior cooperation, the BMW Group maintains complete and sole control over data and complies with local market-specific data protection laws.

Currently, the linked fleet of BMW Group vehicles transmits upwards of ten billion inquiries each day to the "backend," as the IT infrastructure in the cloud is known, which is used to operate and manage the connected vehicle operations. Customer functions like the My BMW App, driver assistance features, charging-optimized route advice, and hazard identification on the road are all based on vehicle data and how it is connected to the cloud. Vehicle data is crucial to the business as well because it is used for certain duties including enhancing customer services, quality management, and after-sales procedures.

The BMW Group established a common access point for internal users of vehicle-generated data in 2017 in order to keep up with the constantly expanding number of linked vehicles. The firm did this by taking steps to ensure that customer data is protected and securely processed in compliance with data privacy standards - across all markets in which the firm operates. The BMW Group will once again own sole ownership of the data in this most recent agreement. Without having access to or knowledge of the data produced by the fleet of connected vehicles owned by the BMW Group, AWS offers cloud infrastructure and services.

Future BMW Group developers will be able to quickly and easily get the required data while working on data-driven improvements to consumer operations thanks to a self-service portal. The BMW Group's engineers and data experts will be able to completely concentrate on the content and quality of the data because the portal will run smoothly and efficiently thanks to the usage of AWS services and dependable infrastructure. Additionally, with the customer's permission, data is also made accessible to third parties for potential applications.

Source: https://www.press.bmwgroup.com/global/article/detail/T0404359EN/bmw-group-collaborates-with-aws-to-bring-new-cloud-technologies-for-fast-and-reliable-availability-of-digital-innovations?language=en