Not everything in the Universe is continuous except change. We adopt the changes, and that is the reason world keeps developing. The same thing applies to the technology as well. Latest trends in every technology help in making the world a better place to live. Here are some of those top 10 technologies to learn in 2024.
10. INTERNET OF THINGS
IoT has become a hot topic in the present tech-driven world. A well-built framework of cloud computing, backed up by a flawless blending of sensors and actuators with the environment around us, is making this network of autonomous objects a reality. From smart wearable to smart cities, from domestic life to industries, IoT is expanding itself to different areas.
Smart security solutions, Smart home automation, Smart health care and Smart wearables are some of the applications of IoT, and by the near future we expect to see its applications. Some of the popular Development tools which can be used for IoT are Arduino eclipse and IBM Watson. So, anyone who is fascinated by the Internet and understand the basics of programming languages like C, C++, and has a general idea of embedded systems can build a career in Internet of Things.
9. CYBER SECURITY
In an increasingly digital world,the looming threat of cyber-attacks is more real than ever. These attacks are usually aimed at assessing, changing and destroying sensitive information. Thus, Businesses need specialists who can protect data, systems and digital services used on a daily basis. Therefore, it is necessary for businesses to have apt cybersecurity measures in place, to counter all of these threats. So, there is an excessive demand for skills to understand cyber issues and identify, diagnose and resolve these challenges.
Cyber Security mentions to a set of techniques which are used to protect the integrity of networks, programs and data from attack, damage or unauthorized access. Cyber Security gives the ability to defend against and recover from accidents such as hard drive failures or power outages. Some of the top trending Cybersecurity Technologies are Threat Intelligence, Risk-Based Authentication, Remediation and IoT security. These technologies are either implementing artificial intelligence(AI) and machine learning or securing new endpoints from the IoT. Some of the top Cybersecurity companies of 2018 are AppGuard, CA technologies, Cimcor, inc, CyberArk, CyberGym control. Someone with a good understanding of computer networks and HTTP communication protocol can start their career in Cybersecurity Technologies.
8. VIRTUAL REALITY AND AUGMENTED REALITY
Virtual reality refers to “the usage of computer technology to create a counterfeit environment. VR may be artificial, such as an animated scene, or an actual place that has been photographed and included in a virtual reality application. With virtual reality, you can move around and look in each and every direction–up, down, sideways and behind you as if you were physically there. You can view virtual reality through a special VR viewer, such as an Oculus Rift,Vive or Daydream view. With the help of virtual reality applications, you can explore places you have never been to, such as the surface of Mars, the top of Mt. Everest, or areas deep under the sea.
Augmented reality is defined as “an upgrade version of reality which is created by the use of technology to add digital information on an image of something. AR applications use your phone’s camera to show you a view of the real world in front of you, then put a layer of information, including text and/or images, on top of that view. Apps can use AR for fun. The best example is the game Pokemon GO, or for information, we have the app layer.
AR and VR serve the customer with an enhanced experience and this technology is applicable in various industries like gaming, entertainment, travel and education. So, if you have a basic knowledge and understanding of the OOPs concept, and if you know the different hardware used in the AR and VR ecosystem then you can develop your career in this technology.
7. DATA INTEGRATION
ETL refers to extract, transform and load, and it is generally used for data warehousing and data integration. It enables companies to transfer data from various sources, cleanse and reformat it and then load this data into a database to analyze and support business operations. It is the most crucial component in the development of business intelligence through data integration. The ETL process ensures that this data is consolidated and stored in a data warehouse in a uniform presentation.
Anyone with a basic understanding of Databases or SQL can start their career in this technology.The benefits an organization achieves with ETL tools are: Enhanced Business Intelligence, Increased Query & System Performance, Enhanced Quality & Consistency and High Return on Investment. There are many ETL tools available in market currently like Informatica, Oracle Data Integrator, Microsoft SQL Server Talend, SAP BUsiness Object, IBM Datastage and Pentaho.
Also Read : Eva – The Robot Photography
6. DEVOPS
First, Let’s make it clear that DevOps is not a technology it is a practice which seeks to bring together software developers and operations staff to work on the same project in a more collaborative manner. It is a software development method that stresses communication, collaboration and integration between software developers and (IT) operation professionals. As the name itself indicates that DevOps is a combination of Development and Operations.
There are many benefits which we receive from DevOps model such as: Speed, Rapid Delivery, Reliability, Scale, Improved Collaboration and Security. Some of the tools used in DevOps are: GIT, JENKINS, DOCKER, PUPPET, CHEF, KUBERNETES AND ANSIBLE. There are many companies which are using DevOps now, like Amazon, Facebook, netflix and Google. If you have a little bit of basic knowledge about Linux systems and have the ability to manage systems, applications and infrastructure, then you can build your career in DevOps.
5.DATA ANALYTICS AND VISUALIZATION
We are witnessing a quantum leap in data produced by multiple sources but all the data in the world is useless if you can’t understand it. Data Analytics and Visualization is about how to present your data, to the right people, at the right time, in order to enable them to gain insights most effectively.With the help of analytics and a right visualization tool, Organizations can identify future opportunities and an optimal solution for their existing problems.
Companies like Google, Facebook, Amazon, Appe, Netflix and Twitter, all are making better business decisions with the help of data visualization. Some of the most amazing data analytics and visualization tools are Tableau, Microsoft Intelligence, QlikView, PowerBI, Oracle Business Intelligence MicroStrategy, SAP Business Object and SAS. If you have an analytical bent of mind with basic knowledge of mathematics and have the ability to understand data and find patterns in it then you should start your career in Data Analytics and Visualization.
4. BIG DATA
Big Data has been getting a lot of attention over the last few years. Big Data refers to that the main problems that are connected with processing and storing different types of data. Most of the multi giant companies today, rely on big data analytics to gain huge perception about their: customer. product research and marketing initiatives. There are several trends and innovations and changes happening in this space. Industry experts are suggesting that big data in the future will not be about what data to use rather about what data to ignore. The focus will be more on data quality.
Some of the trendy big data technologies that you can use to promote your business are: Hadoop, Apache Spark, Apache Flink, NiFi, Kafka, Apache Samza and NoSQL. With these tools the power of big data and mobility can truly promote businesses to new levels. Using big data, Telecom companies can predict customer churn in a better way; Retail industries can predict what products to sell; Insurance companies understand how well their customers actually drive; and even government election campaigns can be modified using big data analytics.
Yes, of course, there are so many applications of big data and there will be many new classifications as the tools become more widespread. So, if you have good knowledge of Java, SQL and Linux, and you’re interested to work with large amounts of structured and unstructured data then surely you should accelerate your career in this space.
3. CLOUD COMPUTING
Cloud computing is the delivery of computing services such as servers, storage, databases, networking, software and analytics over the Internet i.e.”the cloud”. Companies that offer computing services are called cloud providers and typically charge for cloud computing services based on usage, similar to how you are billed for water or electricity at home. There are several advantages of cloud computing like Less costs, 24 X 7 Availability, Scalable and Better Security.There is a lot of competition out there in the market.
Some of the famous cloud computing companies are: Amazon Web Services, SalesForce, Microsoft Azure, IBM Cloud and Google Cloud. If you have a basic knowledge on virtualization technologies and networking then it would be good to have a great career in this booming technology.
2. BLOCK CHAIN
It is the future of the Internet. LIke the name indicates, A blockchain is a continuously growing list of records, called blocks that contain information for the understanding of a common man, which are linked and secured using cryptography. It is the leading digital virtues platform which records and controls the monetary information. Blockchain is the technology that runs Bitcoin and Bitcoin is the world’s first and finest cryptocurrency and it is the future of the economy. In case you looking to trade and learn for cryptocurrency exchanges like bybit vs bitmex.
There are many advantages of using blockchain like it provides Transparency because anyone with access to a blockchain can view the entire chain. It also provides Immutability, once a data/transaction is recorded on the blockchain, it cannot be reversed, there are no practical ways of going back and changing or editing any data that has been recorded on the blockchain. It also provides better security against data being stolen or being misused. Without data being available in one place, transaction can take place at a faster pace. It reduces cost as well.
Beyond just financial services, Blockchain technology has many probable applications in governance, insurance, retail and healthcare. The use of the blockchain is growing, and businesses are in need of skilled professionals to gain a competitive edge. So, to become a developer, you need a little bit of basic knowledge of OOPs distributed systems. And even a non-technical person with basic knowledge of Banking and Finance can start their career in Blockchain.
1. ARTIFICIAL INTELLIGENCE AND DATA SCIENCE
There is a lot of buzz about artificial intelligence and data science in the current market. Data Science skills are increasingly being used in the domain of Artificial Intelligence. Machine Learning which is a subset of the Artificial Intelligence field needs a lot of the skills that a Data Scientist possesses like sata cleansing, data wrangling, data parsing, building mathematical models, working with algorithms and so on.
So Data Scientists are being much sought-after in the Artificial Intelligence domain to build complex data models, train the machine learning systems with the right data, work with algorithms and make mathematical calculations. Data Scientists can also fine-tune the conclusion of Deep Learning systems using statistics, probability and automation approaches.
AI & DS is applicable and best suited in manufacturing, retailing, transportation, finance, health care and nearly in every other industry. If you’re evaluating career options in this emerging field, then you should have a basic knowledge of Mathematics and Probability with basic level programming experience on any language. And if you have experience in Python then it would be added advantage as nowadays Python is majorly used in all AI projects.
