Artificial Intelligence/Machine Learning as technology is disrupting diverse industries today. Several of these are impacting human lifestyles on a day-to-day basis.
AI contributed a massive $2 trillion to the worldwide GDP in 2018. It is projected that this could reach around $15.7 trillion by 2030. This will make it the ‘biggest commercial opportunity in the dynamic global economy’ as per the latest PwC report.
AI Patents increase manifold
According to the report of the World Intellectual Property Organization, AI patents have increased manifold in the last 5 years. The number of patents increased by around 3 times from 2013 to 2017, reaching 55,000 plus from 19,000.
The massive rise in patents implies there will be a large number of new techniques, applications, and products based on AI. These will alter the everyday human lives and also redefine human interaction with machines.
Most of the top 500 patent applicants are from the US, China, and South Korea. Just 4 are from the EU. IBM tops the list with incredible 8, 290 inventions until now. It is followed by Microsoft having 5, 930 patents to its credit.
The “New Electricity”: AI
Though every industry will not be equally impacted by AI, none will remain untouched. Andrew Ng Entrepreneur and Chinese-English Computer Scientist terms AI as the new electricity. There will be hardly any industry that will remain beyond the influence of AI, he adds.
The PwC report elaborates on the industries that have rapidly adopted AI. These include Healthcare, Financial Services, and Automotive sector.
More precise and earlier AI-powered diagnostics will imply earlier treatment for diseases that threaten lives. Upon market launch, self-driven cars will free approximately 300 hours an average American spends on driving annually. More and more individuals are now expressing faith in Robo-Advisors for their Wealth Management.
AI impact by sector
Healthcare
- Pharmacy/Life sciences providers
- Health services
- Consumer health
- Insurance
Automotive
- Component suppliers
- Aftermarket & repair
- OEM
- Personal mobility as a service
Financing
- Financial services
- Banking & capital markets
- Insurance
- Asset & wealth management
Transportation & logistics
- Logistics
- Transportation
Technology, communications & entertainment
- Entertainment, media & communication
- Technology
Retail
- Consumer products
Energy
- Power & utilities
- Oil & gas
Manufacturing
- Industrial products/ Raw materials
- Industrial manufacturing
Bright Career Prospects
AI is now in its stage of expansion. Pursuing a career in this industry assures a lucrative pay package. You will also be able to access promising opportunities for helping your career growth.
India is poised to witness 2.3 million new AI/ML jobs openings by 2020-2022. According to Payscale, the average starting salary for AI/ML professionals in India is around 7 lakhs. The salary goes higher up to 20 lakhs per year based on the brand or the company.
The demand for AI/ML professionals is high but companies need individuals who have the accurate sets of skills. Some of the leading companies recruiting AI professionals include Microsoft, Amazon, Nokia, and Google. The most sought after AI/ML roles that they are hiring include:
- Machine Learning Engineer
- Data Engineers
- Software Developer/Engineer (AI/ML)
- Data Scientist
- Data Analyst
- NLP Scientist
- Principal Data Scientist
- Human-Centered Machine Learning Designer
- Director of Analytics
- Algorithm Engineer
Skill of the Century
Several Experts consider AI/ML as the skill of the century as it has infinite applications that are ever-emerging. AI will transform the face of humanity and many of us would like to be a part of this quantum leap transformation.
AI will create innumerable and diverse job opportunities in multiple fields. Everyone must have minimum information regarding AI for remaining in the loop.
How to Get Started in AI
If you are fascinated by AI and looking for ways to launch your career in this field, you must be aware that diverse learning pathways exist for diverse professionals. These include those for who are new to the field, for programmers and those who are already working in Data Science.
Moreover, diverse skill sets are required by diverse industries. Nevertheless, all AI aspirants must possess excellent communication skills before addressing the required Computing and Math skills.
AI Experts recommend that those who are new to the field begin with Math and Machine learning online course. Further, you must also have strong computer skills if you are inclined to transition to AI/ML. Programming skills such as C++ and perception of Algorithms are also required. Most significantly, you must ensure that any training and skills that you acquire are hands-on/experiential.
EMURGO Academy India – Applied AI/ML Professional Programs
EMURGO Academy India will empower you with not just an understanding of AI/ML but also with the know-how of building it. Our following courses will enable you to comprehend AI/ML technologies and train you in developing their usage on your own:
EMURGO Applied AI/ML Professional Program – 90 Hrs
- ML Introduction
- Data preprocessing and Cleaning
- Build beautiful plots, graphs, and charts in minutes
- Accessing information from diverse sources
- Fundamental statistical analysis
- Develop your first ML model
- Docker Basics
- Dockerizing models
- API creation and design
- Model testing and deployment
EMURGO AI/ML Production Specialist Program – 60 Hrs
- Sophisticated statistical analysis
- CART based models with boosting
- End-to-end development to production of ML models
- Highly developed visualization development, plot design methodology
- Develop models using Tensorflow / Keras
- Introduction to LSTMs, RNNs, CNNs, Auto encoders
- Redefining a crisis to solve it with AI/ML
Technologies Covered in the Courses
- Python with the most vital data processing packages
- Flask
- Dockers
- Basics of Keras / Tensorflow
- MongoDB
- Any Big Data Technology as per project requirements
Project Details
- 3 complete group projects
- 1 mini project or NLP hackathon
- 1 mini project or clustering /conventional prediction hackathon
- 1 project preferably based on an NGO’s requirements
- One of the hackathons will be on Kaggle
