Introduction
New jobs are constantly being created because of the developing opportunities. As AI plays out more, more opportunities avail.
A few are:
AI/machine learning researcher - responsible for improving machine learning algorithms.
AI software development, program management, and testing - developing systems and infrastructure that can use machine learning to derive critical business insights.
Data mining and analysis - Performing in-depth investing of huge data sources, often creating and training systems to recognize patterns that will be critical to business decisions.
Machine learning applications: Responsible for applying machine learning or AI framework to a wide range of business problems, like ad analysis, fraud detection, and gesture recognition.
The Jobs Landscape in 2022
Data analysts and scientists
AI and machine learning specialists
General and operations managers
Software and applications developers and analysts
Sales and marketing professionals
Big data specialists
New technology specialists
Organizational development specialists
Information technology services
To find out which skills have the highest value, and which job roles fit you the best, analyze how your organization is changing, and what are the demands from your current role. Keep an eye out for new opportunities that are coming up in your organization. When you connect these dots, you will find that AI, automation, and machine learning are at the core of all new and in-demand opportunities. A recent study from career and hiring data firm, paysa indicates that 35% percent of the AI roles need a Ph.D., and another 26% require that candidates possess a master’s degree. Industry-specific certifications will help convince prospective employers that you have the right skills and expertise for a job and make you an in-demand professional.
How AI and automation will affect work
About half of the activities (not jobs) carried out by workers could be automated. Our analysis of more than 2000 work activities across more than 800 occupations shows that certain categories of activities are more easily automatable than others.
They include physical activities in highly predictable and structured environments, as well as data collection and data processing. These account for roughly half of the activities that people do across all sectors. The least susceptible categories include managing others, providing expertise, and interfacing with stakeholders.
Nearly all occupations will be affected by automation, but only about 5 percent of occupations could be fully automated by currently demonstrated technologies. Many more occupations have portions of their constituent activities that are automatable:
We find that about 30 percent of the activities in 60 seconds of all occupations could be automated.
This means that most workers from welders to mortgage brokers to CEOs will work alongside rapidly evolving machines. The nature of their occupations will likely change as a result.
Professions in Artificial intelligence
Professional AI skills are:
Python
C/C++
MATLAB
Career paths in Artificial Intelligence
Big data Analyst - Find meaningful patterns in data by looking at the past to help make predictions about the future.
User Experience (UX) Designer / Developer - Work with products to help customers understand their functions and use them easily. Understand how people use equipment and how computer scientists can apply that understanding to produce more advanced software.
Natural Language Processing Engineer - Explore the connection between human language and computational systems; this includes working on projects like chatbots and virtual assistants.
Researcher - Work with computer science and AI research. Discover ways to advance AI technology.
Researcher Scientist - Expert in applied math, machine learning, deep learning, and computational statistics. Expected to have an advanced degree in computer science or an advanced degree in a related field supported by experience.
Software Engineer - Develop programs in which AI tools function. The role may also be referred to as a programmer or Artificial intelligence developer.
AI Engineer - Build AI models from scratch and help product managers and stakeholders understand results.
Data Mining and Analysis - Finding anomalies, patterns, etc. within large data sets to predict outcomes.
Machine learning Engineer - Using data to design, build, and manage ML software applications.
Data Scientist - Collect, analyze, and interpret data sets.
Business intelligence (BI) Developer - Analyze complex data sets to identify business and market trends
Big data Engineer/ Architect - Develop systems that allow businesses to communicate and collect data
Computer vision Engineer - Develop and work on projects and systems involving visual data.
A Few Companies hiring AI positions
Wells Fargo
Nike
Amazon web services
Apple
Spotify
Microsoft
How to get started in AI
Understand the prerequisites - theory and algorithm, computer hardware systems, software systems, and elements
Ace AI theory
Master Data Processing
Work on AI Projects
Learn and Work with AI tools
Opt for AI courses
Apply for an internship
Get a job
AI and Design
AI in design is mostly about optimization and speed. Designers working with AI can create designs faster and more cheaply due to the increased speed and efficiency it offers. The power of AI lies in the rate at which it can analyze vast amounts of data and suggest design adjustments.
AI will not take designers' jobs. However, it will affect it in a good way
Image generation will become quicker. One of the most impressive implications of AI in designs is AI image generation software like DALL-E 2.
This innovative AI system has learned the relationship between images and the text used to describe them to create images from textual descriptions.
All you need to do to create an original, unique, realistic image is explain your idea to DALL-E in as much detail as possible, and hit ‘generate’.
Image enhancement is about to get even more impressive
Photo editing isn’t exactly a new concept.
AI can drastically simplify the process of restoring pictures and improving resolution thanks to AI-based image enhancement tools.
Background removal will no longer be a pain in the rear.
Virtual influencers might become more accessible.
Everyone will be capable of becoming an artist
The reign of design superstars will continue.
AI designer
AI designers are professionals who collaborate with engineers to create systems that facilitate the efficient and straightforward collection of high-quality data through annotation. Providing AI with high-quality data to learn from is a crucial aspect of building AI technology.
AI designer job role
Designing AI prototypes
Developing new technologies
Developing products based on AI
Data collection for AI learning
Designing AI development tools
Difference between Artificial Intelligence and Machine Learning
Artificial intelligence is the development of computer systems able to perform tasks that usually require human intelligence, such as visual perception, speech recognition, decision-making and language translation. Machine learning: Algorithms whose performance improves as they are exposed to more data over time.
Machine learning: It is a subfield of artificial intelligence and computer science that allows software applications to be more accurate in predicting results. Deep learning is a subfield of machine learning and is what powers the most human-like artificial intelligence.
Virtual reality (VR) is an artificial, computer-generated simulation or recreation of a real-life environment or situation. Augmented reality (AR) is a live direct or indirect view of a physical, real-world environment whose elements are ‘augmented’ by computer-generated sensory input.
Mixed reality merges real and virtual worlds to produce new environments and visualizations where physical and digital objects co-exist and interact in real-time. Augmented reality is a live direct or indirect view of a real-world environment whose elements are ‘augmented’ by computer-generated sensory input
How Artificial intelligence is improving accessibility
Artificial intelligence has the power to revolutionize accessibility for persons with disabilities. People with any disability can benefit from using artificial intelligence and machine learning to make things more inclusive and easy to use for all. Here we take a look at some of the ways AI can help improve accessibility
For persons with visual impairment
Persons with a disability may sometimes face difficulties in staying connected with others. In such cases, artificial intelligence can be invaluable in helping them stay connected. For digital connectivity, users with visual impairments can benefit from AI-powered solutions. VoiceOver provides a powerful screen reading feature for reading text and email messages, but it can also describe phone battery levels, icons, and images. People with visual impairment can also use AI-supported voice assistants such as Siri, Cortana, or Google Assistant to use voice commands for specific tasks.
For persons with hearing impairment
AI-driven transcribing apps enable easy transcription of conversations. Ava is one such example. The algorithm powering these apps adds punctuation, the name of the person speaking, and necessary vocabulary.
This can be useful for persons with hearing impairment, as it allows them to follow conversations without having to lip-read. RogerVoice is another such transcription app. It is mostly used for French, but it is available in 90 languages and works similarly to Ava.
For persons with speech impairment
Artificial intelligence-based technologies can be pivotal to providing better accessibility for persons with speech impairment. At present, AI-based digital apps such as Voice it can understand persons with speech impairment or those with Parkinson’s or brain injuries where speech has been affected. In such cases, the app normalizes speech and reproduces it as audio or text so that users can communicate more comfortably and stay connected with the world.
For persons with mobility impairment
There are several AI-powered voice assistants available these days, including Google Voice Access, Google Assistant, and Siri. Persons with reduced mobility can easily use these assistants to deliver voice commands to complete certain tasks.
IFTTT is an app that can be used to set up automation through connections between different apps and devices. Users with limited dexterity can customize how they access all of their smartphone functionalities to perform any number of tasks from sending tweets to reading emails aloud.
Improvement of web accessibility
There are many ways artificial intelligence can improve web accessibility for persons with disabilities. For example, a website can replace CAPTCHAs which persons with disabilities can often struggle with. With facial recognition software.
AI-powered speech recognition technologies use vocalizations to navigate the internet. This can be very useful for persons with speech impairment. Microsoft Translate can provide translations and captions of videos online for persons with hearing impairment.
Better mobility and navigation
Persons with mobility difficulties can also benefit from artificial intelligence. Wheelchair users may sometimes face barriers to moving around a city independently. AI-backed navigation apps can be helpful in such cases.
Google Maps is one of the most popular GPS apps in the world. Wheelchair users can use Google Maps to preview their trip and find the best mode of transportation. The app has a ‘wheelchair accessible’ option that allows users to find elevators and ramps in their city.
Accessible places’ are another feature in the app that provides the layout of public facilities, showing restrooms, parking spots, entrances, and seating arrangements. Other apps with similar functionality include Moovit, wheelmap, and Soundscape.
Living with independence
For many people with disabilities, living independently at home can become a challenge. AI can improve accessibility within the home. For example, using smart speakers such as Amazon Echo with Alexa and Google Home with Google Assistant, persons with disabilities can control things at home using voice commands. Be it switching on lights, listening to music, or setting up alarms; these smart speakers can do it all.
Devices within the home can be connected using these smart speakers. For example, some appliances can be set up using Alexa or Google Assistant while away from home.
Persons with disabilities can also set up their home systems to prepare for emergencies. For example, in the case of a fall, the emergency system can be triggered, enabling easy and timely help.
Artificial intelligence holds the potential to make tools and services more accessible to everyone and help create a more inclusive and productive world.
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