Top 5 Machine Learning Trends to Watch in 2019
Machine learning is a new science which permits computers to work without being explicitly programmed. The modern-day technology extends algorithms that can guide and improve on the data that is supplied to them.
The extension of machine learning is making business and revenues to new heights. Machine learning is the buzz of the tech generation; here are the top 5 machine learning trends of 2019:
1. Data Scientist Jobs Will be Up for Grabs
Machine learning jobs are in hot demand. Data scientist tops the job chart with the huge gap in demand and supply of resources. There is a wide skill gap between the qualified machine learning professionals and the job market potential. You can fill this gap by joining Machine Learning Training Course in Noida. Education certifications on machine learning will be in huge demand as hiring issues will remain to escalate without proper educational skill sets.
2. New Approaches to Cyber security
The development and growth of data accessibility have led to progressive hacking techniques. Machine learning in cyber security works both ways, if used by potential hackers it can result in stronger attacks while if deployed by cyber security firms it can increase the level of security. Since machine learning is a readily available technology, it is best if the defenses to cyber security are fortified in anticipation of the potential security threats.
3. Robotic Process Automation Will Rule the World
The human adaptability to machine learning has led to a heavy reliance on robotic process automation with intelligent drones and robots dominating the technological revolution space. The deployment of robotic process automation extends to finance, health and even manufacturing processes where robots make the task easier.
4. Improved IT Operations
InfoTech is creating extensive data within log files, status reports and error records. Not all the information is fit as inputs to machine learning standards. Machine learning capture, refine data and creates intelligent business insights to make an IT business become proactive rather reactive. Machine learning algorithms support IT operations teams to obtain the root cause of problems, supported by predictive analytics for enhanced operations.
Must read: What Is Machine Learning And How Does IT Work?
5. Transparency in Decision-Making
The influence of machine learning models in industries like retail, medicine, healthcare, and logistics has been frequently felt. Machine learning with the help of predictive models brings transparency in decision-making in the various domains. Machine learning is an effective tool in transparent decision-making where laws and regulations come into the picture.
To conclude, 2019 holds a promising opportunity for technological innovations. The new exciting technological developments will witness faster and more accurate machine learning algorithms. The exponential improvement of machine learning technologies will open up new avenues for Internet of Things, NLP, and self-teaching AI to lead a change in the business industry and our everyday life.
