Artificial Intelligence (AI) is a multi-disciplinary branch of computer science and technology, which intends to make machines perform tasks that only human beings could do earlier. It‘s an unlimited field, and while parts of it have been commercialized, research & development continue on its other dimensions.
There are various AI applications: robots, chatbots, machine learning algorithms, image/text recognition software, data filtering, data analytics, sales forecasting, etc.
AI provides businesses with numerous benefits, allowing them to significantly streamline operations, reduce costs, boost productivity, improve customer service, increase performance, etc. Furthermore, AI has already been employed in art and content generation. Get today, AI can paint pictures and create the most beautiful images.
- Connected cars
- Remote equipment/inventory tracking
- Traffic/environmental monitoring
- Bedside telemetry
- Remote patient health management
- Connected oil field exploration
- Construction machinery management
- Digital signage
- Supply chain traceability
- Smart home automation
Blockchain has the potential to add value to many sectors. Examples of a few blockchain use cases are as follows:
- Improving supply chain management
- Identity management, Better analytics
- Disruption through decentralization
- Securing the Internet of Things (IoT)
Cybersecurity is divided into two main categories, namely, internal and external. According to forecasts by Cybersecurity Ventures, by 2021 damage inflicted from cybercrime will cost the world $6 trillion annually, which exceeds the damage caused by natural disasters. In today’s area of cyberattacks and threats, the establishment of strong safeguards has become especially important. This encourages everyone—government entities, corporations, small/medium-sized businesses—to integrate security solutions.
The worldwide cybersecurity market will amount $248.26 billion by 2023 (Statista) and $300 billion by 2024 (Global Market Insights)—from $120B in 2017. Global spending on security digital products is anticipated to grow from $103.1 billion in 2019 to $133.8 billion by 2022 (IDC report). In order to prevent fraud, information leaks, malware, ransomware, phishing, and social engineering, different organizations across the globe are investing in cybersecurity.
Being the latest innovative wireless communication technology, 5G provides smartphone users with the best mobile broadband, improved experiences, as well as very faster download and upload speeds. By 2021, the number of 5G-enabled connections is anticipated to grow to 20-100 million (Statista). The global spending on 5G mobile infrastructure is projected to reach about $2.3B by 2021. 5G is intended to ensure enhanced data security. Furthermore, Virtual reality (VR) and Augmented reality (AR) development will also improve due to better connections, speed, and experiences, and more
As Statista reports, the worldwide big data market is expected to reach $103 billion by 2027. Just imagine: internet users generate nearly 2.5 quintillion bytes of data every day (according to Data Never Sleeps 5.0)!. Increasing big data employment is one of the top-ranking technology trends of 2020. Allowing to capture, store, analyze, and visualize large amounts of raw and unstructured data, they transform it into valuable information. Data can be taken from almost everywhere: video/audio records, emails, smart devices, web/mobile apps, social media channels, reviews, polls, surveys, transcripts, call logs, corporate sources, online archives, etc. Big Data used in various types of industries, big data processing tools can provide advantages like predictive analytics, efficient risk management, deep insights into customer behavior, enhanced lead generation, improved advertising campaigns, customer experience management, and accurate credit scoring.
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform 2020. The Big Cloud providers (AWS, Azure, GCP) hold a 56% market share whereas AWS alone holds 32.6% market share. Millions and Millions of customers in the whole world—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster. But other Cloud providers are also planning aggressively to close the gap with AWS. Microsoft has specifically targeted large enterprises. Nowadays Microsoft has pipped Amazon and got the 10 Billion USD deal from Pentagon for its cloud Project “JEDI”. Google is driving the Cloud Native Computation Foundation to standardize Cloud operations. Google’s long-term goal is to make Cloud migration easier so that companies can later move from AWS to GCP. IBM has recently bought RedHat with a whopping 36 billion to have a share in the Cloud market.
Python is a language that fits all the latest development needs. Web development, mobile development, or enterprise projects — this language can handle it all. What sets Python apart from other universal languages is its ability to allow conducting complex mathematical operations, data analysis, machine learning, and neural network building. As you can see, the language is already ranking the third one after Java and C in terms of popularity. Its growth rate is astonishing: the demand of the language increased twice. Python isn’t difficult to learn, but it can be adapted to very complex projects with advanced levels of skill.