How techies can use artificial intelligence to protect careers
There is no doubt that “automation,” “artificial intelligence (AI)” and other “technological innovations” are changing the nature of business and work. It can be said that the world has experienced a combination of growth and uncertainty in recent years. One side of the world faces the rise of evolving roles with ambitious futures, while the other side faces massive layoffs and upheaval.
Considering the current employment situation in the technology industry, news of large-scale layoffs has attracted everyone's attention. A clear description of the scenario means technicians with traditional and outdated skills can easily be replaced by skilled technicians. Significant concerns about job uncertainty in the tech industry are limited to one solution – “AI-proof tech workers.”
In the process of automation, we have all experienced a gradual shift towards artificial intelligence and its application in various fields. Employees in the technology industry, regardless of their job role, are beginning to worry about their future and fear of being replaced by artificial intelligence. In fact, high-tech companies around the world have begun massive layoffs, laying off 201,776 employees so far.
However, a clear note states that skilled workers with limited skills face the threat of unemployment as they pose a burden to entities. Therefore, it is important to remember that not all technologies can be replaced by AI innovations. Conversely, those with careers that are not affected by AI can see an evolving future.
Skills and expertise will never be behind the times!
Skills and expertise drive popular technology roles; therefore, anyone who proves a mismatch with the industry will always be eliminated. To survive in the ever-changing technology industry, learning is a key weapon. Upskilling with cutting-edge technology is a proven growth aid that every technician must go through in his or her lifetime. Not only is the chance of redundancy reduced, but a lucrative phase of career development is also seen.
Given the continued advancement of the AI job market, some of the following professional skills are in demand:
- Improving programming and coding skills
- Adaptability and flexibility
- Develop interdisciplinary skills
- Understand the pros and cons of artificial intelligence development
- Ethical considerations for establishing and promoting the development of artificial intelligence using data
Required for careers in artificial intelligence Some popular skills:
- Artificial Intelligence and Machine Learning (ML): Upskilling with artificial intelligence and machine learning algorithms will solidify expertise in technology-driven industries. With the help of artificial intelligence, technicians can provide personalized and innovative solutions to industry problems.
- Data Science & Analytics: Every technology professional has basic programming or coding skills, but there is an advanced version to view complex data sets and create meaningful, complete insights from unstructured data sets The insights turned out to be a special kind of career specialization.
- Software Development and Cloud Computing: Comprehensive programming knowledge helps in processing big data and creating best-in-class software programs. Mastering the skills of both technical terms can be a valuable career aspect.
- Network security and information security: The increase of data in the industry also highlights the importance of data security. To do this, human experts must create robust security measures capable of detecting vulnerabilities and reducing the rise of emerging threats.
Upskilling is a powerful way to secure your future
Upskilling is a powerful strategy that can help us keep up with current technology trends and career opportunities. The following points demonstrate how you can leverage advancements in artificial intelligence to upskill yourself:
- Stay informed about job opportunities: Upskilling helps create awareness about upskilling unique knowledge and skills in the job market. As your skills continue to grow, you can put yourself in a safe position and reduce the risk of being replaced by artificial intelligence. Can quickly adapt to changes in employment opportunities and trends across industries.
- Participate and collaborate in AI development: Contributing to AI-based technologies and building effective collaborations in the field of AI can stay ahead of the competition. Developing skills that complement AI, such as problem solving, decision-making, critical and creative thinking, can help achieve better outcomes in the future.
- Close the skills gap: Artificial intelligence-based technologies are taking hold, creating numerous job opportunities for workers with critical expertise that complements artificial intelligence. Continuous upskilling and enhancement can fill skills gaps in the professional workforce that require both technical and human skills.
In short, AI-based technology has created huge hype in the market. But in the face of advanced technology, technicians can still prove their careers through artificial intelligence. By continuously upskilling, AI professionals can easily maintain and create careers that are not affected by AI. Additionally, by understanding the potential impact of AI, professionals can strategically position themselves in the AI market for the long term.
The above is the detailed content of How techies can use artificial intelligence to protect careers. For more information, please follow other related articles on the PHP Chinese website!
Hot AI Tools
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
Undress AI Tool
Undress images for free
Clothoff.io
AI clothes remover
AI Hentai Generator
Generate AI Hentai for free.
Hot Article
Hot Tools
Notepad++7.3.1
Easy-to-use and free code editor
SublimeText3 Chinese version
Chinese version, very easy to use
Zend Studio 13.0.1
Powerful PHP integrated development environment
Dreamweaver CS6
Visual web development tools
SublimeText3 Mac version
God-level code editing software (SublimeText3)
Hot Topics
1386
52
Bytedance Cutting launches SVIP super membership: 499 yuan for continuous annual subscription, providing a variety of AI functions
Jun 28, 2024 am 03:51 AM
This site reported on June 27 that Jianying is a video editing software developed by FaceMeng Technology, a subsidiary of ByteDance. It relies on the Douyin platform and basically produces short video content for users of the platform. It is compatible with iOS, Android, and Windows. , MacOS and other operating systems. Jianying officially announced the upgrade of its membership system and launched a new SVIP, which includes a variety of AI black technologies, such as intelligent translation, intelligent highlighting, intelligent packaging, digital human synthesis, etc. In terms of price, the monthly fee for clipping SVIP is 79 yuan, the annual fee is 599 yuan (note on this site: equivalent to 49.9 yuan per month), the continuous monthly subscription is 59 yuan per month, and the continuous annual subscription is 499 yuan per year (equivalent to 41.6 yuan per month) . In addition, the cut official also stated that in order to improve the user experience, those who have subscribed to the original VIP
Context-augmented AI coding assistant using Rag and Sem-Rag
Jun 10, 2024 am 11:08 AM
Improve developer productivity, efficiency, and accuracy by incorporating retrieval-enhanced generation and semantic memory into AI coding assistants. Translated from EnhancingAICodingAssistantswithContextUsingRAGandSEM-RAG, author JanakiramMSV. While basic AI programming assistants are naturally helpful, they often fail to provide the most relevant and correct code suggestions because they rely on a general understanding of the software language and the most common patterns of writing software. The code generated by these coding assistants is suitable for solving the problems they are responsible for solving, but often does not conform to the coding standards, conventions and styles of the individual teams. This often results in suggestions that need to be modified or refined in order for the code to be accepted into the application
Can fine-tuning really allow LLM to learn new things: introducing new knowledge may make the model produce more hallucinations
Jun 11, 2024 pm 03:57 PM
Large Language Models (LLMs) are trained on huge text databases, where they acquire large amounts of real-world knowledge. This knowledge is embedded into their parameters and can then be used when needed. The knowledge of these models is "reified" at the end of training. At the end of pre-training, the model actually stops learning. Align or fine-tune the model to learn how to leverage this knowledge and respond more naturally to user questions. But sometimes model knowledge is not enough, and although the model can access external content through RAG, it is considered beneficial to adapt the model to new domains through fine-tuning. This fine-tuning is performed using input from human annotators or other LLM creations, where the model encounters additional real-world knowledge and integrates it
Seven Cool GenAI & LLM Technical Interview Questions
Jun 07, 2024 am 10:06 AM
To learn more about AIGC, please visit: 51CTOAI.x Community https://www.51cto.com/aigc/Translator|Jingyan Reviewer|Chonglou is different from the traditional question bank that can be seen everywhere on the Internet. These questions It requires thinking outside the box. Large Language Models (LLMs) are increasingly important in the fields of data science, generative artificial intelligence (GenAI), and artificial intelligence. These complex algorithms enhance human skills and drive efficiency and innovation in many industries, becoming the key for companies to remain competitive. LLM has a wide range of applications. It can be used in fields such as natural language processing, text generation, speech recognition and recommendation systems. By learning from large amounts of data, LLM is able to generate text
Five schools of machine learning you don't know about
Jun 05, 2024 pm 08:51 PM
Machine learning is an important branch of artificial intelligence that gives computers the ability to learn from data and improve their capabilities without being explicitly programmed. Machine learning has a wide range of applications in various fields, from image recognition and natural language processing to recommendation systems and fraud detection, and it is changing the way we live. There are many different methods and theories in the field of machine learning, among which the five most influential methods are called the "Five Schools of Machine Learning". The five major schools are the symbolic school, the connectionist school, the evolutionary school, the Bayesian school and the analogy school. 1. Symbolism, also known as symbolism, emphasizes the use of symbols for logical reasoning and expression of knowledge. This school of thought believes that learning is a process of reverse deduction, through existing
To provide a new scientific and complex question answering benchmark and evaluation system for large models, UNSW, Argonne, University of Chicago and other institutions jointly launched the SciQAG framework
Jul 25, 2024 am 06:42 AM
Editor |ScienceAI Question Answering (QA) data set plays a vital role in promoting natural language processing (NLP) research. High-quality QA data sets can not only be used to fine-tune models, but also effectively evaluate the capabilities of large language models (LLM), especially the ability to understand and reason about scientific knowledge. Although there are currently many scientific QA data sets covering medicine, chemistry, biology and other fields, these data sets still have some shortcomings. First, the data form is relatively simple, most of which are multiple-choice questions. They are easy to evaluate, but limit the model's answer selection range and cannot fully test the model's ability to answer scientific questions. In contrast, open-ended Q&A
SOTA performance, Xiamen multi-modal protein-ligand affinity prediction AI method, combines molecular surface information for the first time
Jul 17, 2024 pm 06:37 PM
Editor | KX In the field of drug research and development, accurately and effectively predicting the binding affinity of proteins and ligands is crucial for drug screening and optimization. However, current studies do not take into account the important role of molecular surface information in protein-ligand interactions. Based on this, researchers from Xiamen University proposed a novel multi-modal feature extraction (MFE) framework, which for the first time combines information on protein surface, 3D structure and sequence, and uses a cross-attention mechanism to compare different modalities. feature alignment. Experimental results demonstrate that this method achieves state-of-the-art performance in predicting protein-ligand binding affinities. Furthermore, ablation studies demonstrate the effectiveness and necessity of protein surface information and multimodal feature alignment within this framework. Related research begins with "S
SK Hynix will display new AI-related products on August 6: 12-layer HBM3E, 321-high NAND, etc.
Aug 01, 2024 pm 09:40 PM
According to news from this site on August 1, SK Hynix released a blog post today (August 1), announcing that it will attend the Global Semiconductor Memory Summit FMS2024 to be held in Santa Clara, California, USA from August 6 to 8, showcasing many new technologies. generation product. Introduction to the Future Memory and Storage Summit (FutureMemoryandStorage), formerly the Flash Memory Summit (FlashMemorySummit) mainly for NAND suppliers, in the context of increasing attention to artificial intelligence technology, this year was renamed the Future Memory and Storage Summit (FutureMemoryandStorage) to invite DRAM and storage vendors and many more players. New product SK hynix launched last year
