We have seen how data analytics & AI (Artificial Intelligence) have changed the way businesses operate. These technologies enabled them to study customer needs, improve their performance & plan for future growth. On top of that, how to react to a crisis like the COVID-19.
As the data landscape has evolved, companies today handle a vast amount of structured, semi-structured & unstructured data. Hence, a surge in the jobs for data professionals is likely to happen in the upcoming years.
If you want to pursue your career as a Data & AI specialist, look at the latest trends in data analytics and Artificial Intelligence below,
1. Conversational UI
We all know how Linux’s command-specific syntax worked without GUI (Graphical User Interface). It was gloomy & dull for many of us. The introduction to GUI enabled us to interact with the system in a comfortable & engaging way. Conversational UI with the AI evolution allows users to take their experience to the next level.
The emerging trends in artificial intelligence, such as chatbots & voice assistants, allow people to make oral communication with the system. It does not need a mouse or keyboard to interact with such smart machines. For example, many of us are already using the services of Siri, Cortana and OK Google! This results in the need to process a massive amount of audio & text data.
2. Increase in IoT Adoption
Many people today use devices & apps to control refrigerators, ACs, TVs, furnaces and other home appliances. We can consider these as examples of mainstream IoT (Internet of Things) technology. According to the recent IDC report, global spending on IoT is expected to reach at least $1.1 trillion in 2023. It shows an evident growth in the use of smart & connected devices.
Amazon Alexa, Google Assistant & other smart devices would have even more influence in automating most everyday tasks at home in 2021 & beyond. It covers but is not limited to news updates, online shopping, real-time temperature monitoring and switching on or off appliances.
3. Hybrid Workforce
With the increasing adoption of AI trends & automation, you may worry that there is no or limited scope to get a job in this field. Even a report by Gartner shows that AI will eliminate 1.8 million jobs this year.
However, this study also indicates that AI will create around 2.3 million jobs by the end of 2020. That means a new hybrid workforce era will soon become a business normalcy where humans & AI would work together. The digital workers may handle the tedious and repetitive roles. At the same time, humans would take care of tasks that require critical thinking skills & creativity. It will help companies to speed up processes and minimize operational costs.
4. Predictive Analytics
It is one of the most sought after data analytics trends. It helps businesses to predict future outcomes based on historical data about customer behavior and buying patterns. It also uses techniques such as statistical modeling, machine learning and more to perform this task.
When you implement AI algorithms in the predictive analytics model, it helps differentiate and form the data sets depending on various factors. It can be a specific product sold more in a season. The number of users who bought a particular item, a precise combination of products people liked the most, or any other pattern or behavior.
Using AI with predictive analytics helps companies carry the right data sets while dealing with diverse info. It enables them to provide an improved user experience and fuel their growth.
As the year 2021 is about to start, we expect further adoption in these AI & data science trends. Still, most organizations find it challenging to extract, manage & govern desired value from big data. For that, they need data professionals with Natural Language Processing (NLP) expertise.
If you want to learn or improve your skills as a data scientist or data engineer, join our data analyst training program today. We offer a complete, career-oriented & practically driven course designed by industry experts. It will help you clear the concepts about data analytics & AI and add that X-factor to your professional skills.