Last updated on April 6th, 2024 at 07:15 pm
The leaps and bounds that technology has taken since artificial intelligence's inception in the 1950s are impressive. And it happened in the absence of the internet. Experts in the period between 1957 to 1974 derived the proof of principle for AI. They visualised a system that could recognise spoken language with the help of data processing. This technology has grown exponentially to reach the era of "big data." This is where a large amount of data is processed in minutes. The future of AI looks promising. From translating languages in real-time to self-driven cars, it's everywhere. A PG in Data Analytics helps you start a successful career in this promising field.
The following section will help you explore the scope of Deep Learning in the future.
Importance of Deep Learning for the Future through Examples
Almost all companies in the world are leveraging AI and ML-based machines. So, knowing how this technology is being used is important. The examples listed below discuss Deep Learning implementation in real-world scenarios. We also explore the scope of future improvements in DL-based technologies. This will help you understand the need for a Deep Learning course in the future.
Machine Translation: Assistants like Siri, Google Assistant, and Alexa have changed our mundane routine around the globe. These assistants are trained using Deep Learning algorithms to generate the fastest and the most appropriate responses to human queries. They translate spoken language to machine language to process natural language instantly.
Additionally, assistants and software like Google Translate perform another type of machine translation. They efficiently translate the words spoken by a person in one language into another in real-time. In the future, this technology will improve multifold to translate more than one language as the speakers speak. If you are a technology enthusiast, get a PG in Data Analytics now! You can be a part of the ongoing technology revolution.
Mobile AI: Several AI-based applications are available in the market today. However, the lack of computing space and memory in mobile phones stops this technology from reaching larger audiences. In the future, most of us will leverage deep compression technology to reduce the size of applications. These applications could be developed for laptops, tablets, or phones.
Research: Deep Learning is not only for delivering comfort and luxury. It also delivers on bigger responsibilities like saving lives. Medical researchers have teamed up with IT professionals to create systems for detecting life-threatening cells (cancerous) in the human body. We have indeed used diagnostic systems assisted by computers for a long time. But the introduction of deep learning has changed the game in medicine.
Data processing is used for detecting hazardous cells in the human body. However, many challenges in this field are yet to be solved. Hundreds of medical imaging devices generate images based on varying principles. Technology has not developed at a pace to understand this level of variation. You can join the healthcare field with a PG in Data Analytics.
Employee Retention: Companies are bombarded with large volumes of employee data that require daily processing. To retain employees by providing the best satisfaction level, companies' HR department must link their employee information with different categories. These categories are compensation management, onboarding procedures, and incentive management. In the future, Deep Learning can be paired with blockchain to get better results. Also, the process of training and employee reviews could be automated using Deep Learning. A Deep Learning course can help you understand the new HR-related tools. Most of them are AI and DL based.
Customer Support: Today, this technology is used to improve the performance of chatbots. They work with inputs from words, audio, images, and videos to generate the desired output. In the coming years, this technology will expand its scope to include various facets of customer support. You can check out the Data Analytics course with placement options. This would help you set foot in the field fast.
Defence: The Defence ministries of many countries are leveraging deep learning to detect hazardous and safe areas for their naval, air, and ground soldiers. In the coming years, these algorithms can diversify to automate the responses of missile systems against an incoming threat.
Kickstart your career with a Data Analytics course with Placement opportunities
The knowledge of Deep Learning or neural networks can help you explore a career in various IT roles. These include the positions of Data Engineer, Software Developer, Research Analyst, Bio Information, and Data Engineer. Generally, Machine Learning and Deep Learning come under the umbrella term of Artificial Intelligence (AI). According to the study by The International Data Corporation, the financial value of AI is expected to reach $7.8 billion. Imarticus Learning offers a job-ready Data Analytics Course with placement for fresh graduates and professionals with 0-5 years of experience.
Imarticus Learning offers a job-ready curriculum for fresh graduates and professionals early in their careers. You can learn more about the PG In Data Analytics program on the official website. Call their professional support, or use chatbots to resolve your queries.
