Today Information Technology and Global Businesses are correlated and most companies are depending on digital technologies to stay competitive and producing innovative products or services. IT is booming with emerging technologies that optimize remote work, automation, cloud storage, and big data processing. The economic crisis caused by the global pandemic in 2020 leads many organizations to adapt technological trends to assist them to stay active and updated.
IT industries and IT-based MNCs are still coming up with new opportunities for certified professionals in various technologies like Data Science, AI, Machine Learning, Python, and Big Data. In this blog, we are outlining technology trends that are expected to influence businesses and our lives. We are also highlighting how to prepare for worldwide opportunities according to the industry-required skills. It would be better if you focus on the skills and enhance them through continuous learning provided by Best IT Training Institutes.
Data Science
The growth of data science is tremendous and the job requirements are expected to boom by 27,20,000 in the year 2025 according to the Bureau of Labor Statistics. The demand for certified professionals rises every year for working on various profiles like Data Engineer, Data Administrator, Machine Learning Engineer, Statistician, and Data Analytics Manager, etc. Industries such as Agriculture, Healthcare, Aviation, Cyber Security, Education, and so on are employing skilled data science professionals and paying around INR 10,52,000 Per Annum.
The prime factor of this growth is due to the increased data usage through smartphones and other significant resources like healthcare procedures, education feeds, and government data. Data Science is an exciting field and it solves real-world problems through tools, technologies, and innovations. The learning of data science does not require any specific degree background but some basic knowledge in mathematics, programming, and statistics. It helps the learners to gain expertise in pattern analyzing, data manipulation, and decision-making.
Growing Trends of Data Science
The following trends of data science are the main factor of its growth and it generates numerous job opportunities for freshers and working professionals:
- Widespread automation
- Evaluation of Big Data and AI
- Augmented Analytics
- Natural Language Processing
- Conversion Analytics
- Continuous Intelligence
- Automation of Data Management
- Graph Databases
- Data Fabric
- Autonomous Things
Importance Skills to Acquire for Data Science Jobs
There are some essential skills to be obtained for becoming a data scientist, data analyst, or data engineer. Top companies like Google, Amazon, IBM, and Accenture are expecting the employees should be proficient in the following technical and non-technical skills to perform well as per their requirements
Technical Skills:
- Programming Languages such as Python, Perl, R, C/C++, Java, and SQL.
- SAS and other analytical tools
- Structured and Unstructured Data
- Non-Technical Skills
- Strong Business Knowledge
- Excellent Communication Skills
- Data Intuition
Artificial Intelligence
International Data Corporation (IDC) forecasts the growth of AI was exponential even in the pandemic situation by 12.3% which is higher than any other technologies. Businesses are investing in AI as it brings promising revenue. CRM AI applications, ERM AI Applications are the largest platforms that increase the market growth of AI by 17% than previous years. AI-enabled applications transform human risk into simplified solutions through analyzing customer purchase, suppliers selling, and competitor’s strength. It includes applications like Content Workflow, Management Applications, Collaborative Applications, and Production Applications.
Giant companies such as IBM, Accenture, Deloitte, Infosys, and CTS are providing AI services worldwide in the form of applications, products, and services. Artificial Intelligence impacts the future through technologies like robotics, IoT, and Big Data. It is implemented in sectors like transportation, manufacturing, healthcare, education, media, and customer services.
Growing Trends of AI
The following trends are growing exponentially with AI technology and it generates job opportunities worldwide to perform related tasks.
- AI Talent for enterprises
- Self-Directed IT with AI Fuels
- Unstructured Data Processing with AI Structures
- Augmented Processes
- AIOps solutions for IT operations
- Voice and Language-driven intelligence
- AI and Cloud Integration
- AI Ethics for Banking
Importance Skills to Acquire for AI Jobs
To grab an excellent AI Job, one must obtain any graduated degree with specialized certification courses. The following skills should be obtained for better jobs in the AI field.
- Strong Mathematical and Algorithms Knowledge
- Proficiency in Probability and Statistics
- Expertise in Programming Languages like Python/R/Java/C++
- Well-versed with Distributed Computing
- Efficiency in UNIX tools
- Fundamental knowledge of Advanced Signal Processing techniques
- Ability to adapt to new technologies
- Communication and Aptitude Skills
Machine Learning
The global market of Machine Learning is expected to reach $8.81 Billion by 2022 as it increases with CAGR (Compound Annual Growth Rate) 44.1% every year through technological advancement. It increases efficiency and saves costs for organizations through tremendous in-demand services. Machine Learning is used to evaluate hidden insights without human interaction for the benefit of several applications like safety and security through face detection, face recognition, speech recognition, image classification, antivirus, genetics, weather forecast, signal diagnosing, and analytics.
The impact of Machine Learning to solve real-world problems like global pandemic like Covid-19 and addresses numerous challenges in the manufacturing and healthcare industries. There is a demand for continuous customer services, increased sales revenue, and efficient operation in an organization and it is solved through the adaption of cloud-based machine learning. This adaption leads to massive investment in machine learning for producing components, hardware equipment, software applications, and services. Numerous developer and ML experts are recruited by top companies for working in various roles like Machine Learning Engineer.
Growing Trends of Machine Learning
The following are specialized technological trends that growing through Machine Learning Concepts and it gives way for increased revenue of businesses and tremendous job opportunities for learners.
- Framework Development Competition
- Business Forecasts with Machine Learning Process
- Reinforcement Learning integrated with AI
- Bio-Metric and AI-Driven Security Solutions
- Automated Machine Learning
- Explainable AI with ML algorithms
- Conversational Machine Learning Techniques with AI
- Generative Adversarial Networks
- Convergence of IoT through AI and ML
- Cybersecurity Applications and Advancement
- Intersection of AI, ML, and IoT
- Effective Digital Marketing
- Voice Assistance through Machine Learning
Importance Skills to Acquire for Machine Learning Jobs
The rise of Machine Learning Implements gives the way for learners to bridge the knowledge gap which is increasing in the IT and MNC industries. They are employing candidates who have certification in Machine Learning with the following in-demand skills:
- Any Degree in Computer Science, Mathematics, Statistical, and other related streams.
- Statistical skills such as linear algebra, Bayesian, Calculus, Median, Variance, and Mean.
- Strong data modeling and data architecture skills.
- Programming Language Expertise in Python, Java, R, and C++.
- Big Data Frameworks such as Hadoop, Spark, Hive, Flume, and Pig.
- Strong expertise in ML libraries like TensorFlow, Scikit learn, Theano, Matplotlib, and Keras.
- Excellent Communication Skills and Interpersonal Skills.
Python
Python is a popular programming language that grows rapidly with 17 Million active users worldwide. Familiar websites and applications like Netflix, Amazon, Dropbox, and Facebook are implementing Python for various purposes. Python is the top choice of developers as it simplifies the deployment of automation in web development. It will be used for various purposes such as application development, scientific computing, and automation. Python is a versatile and multipurpose language used for machine learning concepts.
Python Programming Language grows tremendously as it has innumerable libraries such as Pandas, NumPy, and Matplotlib to simplify the data science process. It is implemented by beginners for web development through frameworks like Django and Flask. Python is used to develop algorithms for the machine learning process and simplified through convenient usage. It has large communities for helping beginners to grow up with new technology advancements.
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Growing Trends of Python
Python is used to deliver applications faster with flawless implements of coding, libraries, and frameworks. The following trends are improving through Python programming and generate more job opportunities for freshers and experienced professionals.
- Technology Integration like Artificial Intelligence, Data Science, Big Data, and Machine Learning.
- Consistent integration with other programming languages
- Cloud Computing Implementation with empowered technologies.
- Expanding way in education for designing perfect course materials.
- Automation-flexibility and Data Analysis
Importance Skills to Acquire for Python Jobs
The rising popularity of Python creates more job opportunities for freshers and experienced professionals and it requires the following sought-after skills to get placed in top companies.
- Expertise in Python Development
- Good knowledge of web frameworks
- Proficiency in Object Relational Mapping
- Understanding of Data Science Implementation
- Integration of Machine Learning and Artificial Intelligence
- Well-versed in deep learning and multi-process architecture
- Strong analytical, design, and communication skills.
Big Data
Big Data is increasing rapidly in volumes, data complexity, cloud-computing implementation, AI-Driven applications, and IoT adoption. It is expected to reach $105 Billion by 2027 with a CAGR of 12.3%. Big Data encompasses structured and unstructured information to derive useful insights for businesses. It creates 8 Million jobs for learners to perform various tasks with field-proficiency. IT services and Media are the biggest sources of big data and they should be analyzed for future decisions.
The companies are adapting to Big Data processing for faster outcomes that helps the organization with accurate decision-making. It is implemented through popular tools like Apache Hadoop, Cassandra, Knime, MongoDB, Datawrapper, Lumify, Xplenty, and so on.
Growing Trends of Big Data
The following trends are improved through Big Data Processing and it increases the investment opportunity at the global level that leads to new recruitments for skilled workers.
- Multi-cloud and Hybrid cloud technologies
- Actionable data flow
- Continuous intelligence
- Machine Learning Processes
- In-Memory Computing
- Integration with IoT
- Digital Transformation
Importance Skills to Acquire for Big Data Jobs
Big Data Processing has become inevitable today with digital technologies. It is a must for all businesses for making strategic decisions. Top companies are employing people who have the following in-demand skills to land in perfect big data positions:
Analytical Skills
- Data Visualization Skills
- Business Acumen
- Expertise in Big Data Tools
- Programming Skills
- Problem Solving Skills
- Database application skills
- Data mining skills
- Familiar with technology updates
- Well-versed in the public cloud and hybrid cloud
- Hands-on exposure on projects.
- Excellent communication skills
Conclusion
IT and MNCs are growing exponentially with technology innovations and it requires innumerable skilled professionals to perform various tasks that simplify human efforts through automation, development, and decision-making. Learn the in-demand skills in data science, artificial intelligence, machine learning, python, and big data to bridge the knowledge gap of global industries with certifications. Enhance your foundation knowledge as per the requirements and prepare yourself with future-ready skills through available IT courses and certifications.
