internet of things

Top 8 Technology Trends and Jobs 2021 Will Bring

Technology is developing at staggering speeds, and it is only getting faster. This evolution enables faster change and progress. Careers in tech industry do not follow as fast, but they do evolve. IT professionals tend to recognize their new or expanded roles, as they constantly learn because they both want and need. Everyone should always stay in touch with the modern technology trends today. You need to set your eyes on the future and realize which skills you will need for jobs you want to do.Let us explore eight technology trends for the year 2021, as well as the jobs they will create.

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8. Artificial Intelligence (AI)

Artificial Intelligence has undoubtedly already received great attention and continues to be a trend to watch. It more and more effects how we live, work and play, and yet it is only in the early stages of development. Other AI branches also appeared as well. AI are computer systems that mimic human intelligence. They perform tasks like recognizing images, patterns or speech, and they also make. AI can actually do these tasks much faster and more accurately than humans can.

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7. Machine Learning

Machine Learning is one of the newer branches of AI. Here, computers are programmed in a way to learn how to do something they are not programmed to do. This basically means that they learn more by discovering patterns and exploring data. There are supervised and unsupervised learning, while Machine Learning also has subsets that include neural networks, natural language processing (NLP), and deep learning. Each offers different opportunities for specializing in career fields that constantly grow and improve.

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6. Robotic Process Automation (RPA)

Process Automation is another technology developed to automate jobs. Essentially, it is the use of software to automate business processes like processing transactions, interpreting applications, dealing with data, and replying to emails. RPA serves to automate repetitive tasks people used to do, to give them more time to do more important work. However, not just menial tasks are automated, as 45 percent of activities we do could potentially be automated, like the positions of financial managers, CEOs and doctors.

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5. Blockchain

Here, most people will think in relation to crypto currencies like Bitcoin. Blockchain however offers useful security in different ways. It is the data you can only add to, but not change in any other way.The fact that you cannot change it is why it is so secured.These are also consensus-driven so that nothing else can control the data. With blockchain, you do not need a third party to validate or even oversee any of your transactions.

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4. Edge Computing

Cloud computing is currently mainstream, with giants like Amazon Web Services, Google Cloud and Microsoft Azure dominating the market today. Cloud computing and its adoption are still growing, with more and more businesses moving to their solutions. It is no longer an emerging technology, because Edge is. It is practically designed to bypass latency that cloud computing causes and get data to a data center for processing. In other words, it exists “on the edge,” or closer to where the computing needs to be. Edge can process time-sensitive data in very remote locations with little to no connection to one centralized location.

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3. Virtual Reality (VR) and Augmented Reality (AR)

VR immerses the user in a virtual environment, while AR enhances the actual environment. VR has is at the moment mostly used for gaming and training. The popular Pokemon Go game is a great example of AR. Both have huge unexplored potential in education, training, entertainment, marketing, and perhaps even rehabilitation. They both could be used to train doctors, offer museum tours and experiences, enhance the theme parks and marketing, etc. The potential is next to limitless here.

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2. Cyber Security

Cyber security is around for a while, and is evolving just as any other technology. There are always new threats, so security has to keep up. The hackers want to access all sorts of data illegally, and they will not stop, but continue to develop their skills to bypass the toughest security measures. Most new technology comes with enhanced security, for example hardware authentication, cloud technology and deep learning. Data loss prevention and behavioral analytics are also great ways of security in the cyber world. As long as hackers are active, cyber security will evolve and develop to defend us against them.

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1. Internet of Things

Internet of Things (IoT) is the future. A lot of “things” are have WiFi connection, meaning that they could easily be connected to the Internet, as well as to each other. This is what IoT stands for. It enables cars, devices, home appliances, and everything else to be connected together and among themselves and exchange data over the Internet. Currently, we are in the beginning stages of IoT. The number of devices capable of this was 8.4 billion in 2017. It is actually expected for it to rise to a staggering 30 billion by the end of 2021. That is a lot of smart devices.

5 Data Analytics Trends That You Should Know This 2020

It was once said that humans are not only creatures of emotion but also creatures of logic. Because of our intelligence, we can reach logical conclusions without losing our cool. When it comes to running a business, creating strategies, and attracting leads, data analytics helps you make better decisions. According to the 2020 Global State of Enterprise Analytics Report, 94% of business professionals agree that data analytics is essential to their business’ growth. With the tools they use to gather information, 45% of companies concede that they were able to innovate their existing business models. More and more, we are seeing businesses gain enthusiasm and find the means for making better-informed decisions with the rise of digital data analytics.

In the rise of big data, cloud storage, the Internet of Things, and artificial intelligence, experts at Quanthub say that companies big and small today tend to hire those with data engineer skills. As we go through the second quarter of 2020, here are five of the many trends that are taking the analytics world by storm:

1. Tools That Have Augmented Analytics

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This type of analytics uses automation instead of manual configuration. Without regular monitoring needed, automated Customer Relationship Management software or CRMs are able to gather essential insights without needing other software integrations. Through the help of machine learning and artificial intelligence, these tools can observe data and pose relevant queries that may affect the bottom line of the company. By crunching the numbers and recognizing patterns quickly, AI and ML augment our problem-solving skills and helps us solve any potential problems before they even happen.

In line with this, Explainable and commercial AI and ML are starting to fill the market. As open-source platforms have been developing these, businesses are now providing avenues to connect to these platforms and make them available to the general public. By making sure that each model comes with descriptions of their capabilities and behaviors, businesses can help higher institutions regulate these technologies.

2. Data Analytics and blockchain

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In recent years, blockchain has been associated with cybersecurity because of its advanced encryption technology. This has been used to securely track assets and transactions to provide transparency for all the parties involved while making sure third parties are kept out. While it is not yet available to the market, there is a growing need to integrate the data stored on blockchain systems to streamline management and recording.

As blockchain technology continues to evolve, businesses and customers are starting to combine data security and analytics. Today, we are not only looking for clean data but also high-quality and GDPR-compliant ones.

3. Internet of Things and predictive analytics

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Internet of Things or IoT allows different devices to receive and send data to other smart appliances via the Internet. In 2020, IoT solutions providers might be able to create a more holistic approach and combine different channels of IoT analytics into a single stream.

As analytics is also shifting towards future conditions and trends, tools that help businesses forecast these will become more popular. When this IoT and predictive analytics go hand-in-hand with automation, companies will be able to create personalized strategies for their target market based on their current behavior. Not only will this streamline decision-making processes within different organizations but also keep KPIs timely, accurate, and precise.

4. Introduction of persistent memory technology

As opposed to the most common database management systems (DBMS), persistent memory servers allow businesses to export insights from existing data without waiting for the server to load. While it is not yet out to the market, companies are eyeing this type of technology to deal with the disadvantages of in-memory database structures. With more information being stored in servers, the lack of memory and speed can ultimately affect business performance.

By using persistent memory, businesses can access large, complex data sets and environments that are otherwise sensitive to downtimes caused by system crashes or power failures. This means that with persistent memory, there will be no more need to reload data from disks or to cache company data in memory throughout the lifetime of a company’s server. Moreover, by using persistent memory for their servers, businesses will only have to store their data and use them as necessary.

When this is paired with real-time intelligence, companies can improve on decisions and strategies as current trends dictate without their processor failing on them. According to Gartner, it is expected that more than 50% of startups will be using “continuous intelligence” by 2022.

5. Increased Use of Graph Analytics

Source:towardsdatascience.com

As data analytics grows more complex, business owners often find themselves asking more complicated questions that they couldn’t answer with unorganized data. Because organizations use different tools to measure engagement, conversion, and nurturing, there is a growing need to simplify complex information. People are now turning to graph analytics to present correlations and predictions easily. By using different charts, maps, and infographics, data are visually crunched to be more palatable to the eyes and mind. According to Gartner, this type of process will increase a hundredfold every year to aid data science.

Graph analytics are mostly used and applied for marketing, business operations, healthcare, and even national security. Each of these sectors makes use of one of the four main types of graph analytics, namely: centrality analysis, community detection, connectivity analysis, and path analysis.

Such analyses are performed with the help of graph database tools that connect nodes and create relationships in the form of graphs, which can then be easily interpreted by its users. Some of these popular tools are Amazon Neptune, ArangoDB, Cayley, Data Stax, Titan, FlockDB, Neo4j, OrientDB, and many more.

Whether you are a business owner or consumer, it is essential to recognize the technological changes around us. The possibilities seem endless. With the continuous growth and development of technology, we can expect both digital disruption and opportunity. As the speed of innovation increases, businesses of today must meet and keep up with the customers of tomorrow to stay ahead of the curve.