Most large and medium-sized organizations will be starting or have started their Digital Transformation journey and process automation that will be the mantra in the year 2023.
People will be working on exception handling while robotics driven through AI and ML will drive the processes on the floor. Decisions will always be data backed and companies will make investment decisions to help improve efficiencies and reduce cost and dependency on people.
The customers and workforce across the globe are becoming younger and engaging millennials through Super Apps that will be a trend to watch out for. Hybrid work cultures will result businesses in monitoring people and efficiencies through these apps and also use this to keep engagement almost real-time and monitor buying trends of the users.
This will provide a lot of insight into trends and also using AI predict how well we are engaging the millennial workforce and create retention tools.
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As AI evolves, businesses will automate more digital processes and make informed business decisions based on data analytics insights. One report highlights that the execution of more than 85% of digital ads will be done through automation in the foreseeable future.
Web3 and the metaverse
Put simply, the digital world is in the early stages of an evolution, and eventually the metaverse and Web3 will become critical components of how enterprises orchestrate their digital strategies. The online footprints that companies have built over the past decade will be reimagined, from which services are sold and which data is accessible to how advertising is conducted and content generated.
What do you think is going to be the user interface in the coming decade?
It definitely won’t be a user sitting on the desk while using the screen or a smartphone in the pocket. We are already a part of the augmented and virtual reality world. In the coming years, we will be in real-world technology while mixing the physical and digital world.
Extended Reality will diminish the line and enhance the quality of the digital world with technology. However, many people are not even aware of mixed reality, forget about extended reality XR.
Automation remains the buzzword among industries worldwide. The concept has helped robots and autonomous systems achieve unprecedented growth. Robotics technicians, engineers, and scientists have achieved high salaries, funding opportunities and unlocked new research capabilities in the past few years. Other professionals have managed to introduce unique ventures due to immense innovation and growth in this field.
Artificial intelligence (AI) is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. In simpler terms, it is making computers think like humans. The term is used to describe machines that mimic cognitive functions such as learning and problem-solving.
The current AI job outlook is quite promising. The US Bureau of Labor Statistics expects computer science and information technology employment to grow 11% from 2019 to 2029. This will add about 531,200 new jobs in the industry. This, it appears, is a conservative estimate. ‘AI and Machine Learning Specialists’ is the second on the list of jobs with increasing demand as per the World Economic Forum.
As the industry matures, jobs in AI will not only grow in number but also complexity and diversity. This will open doors for various professionals—junior, senior, researchers, statisticians, practitioners, experimental scientists, etc. The outlook for ethical AI is also looking up.
What skills are needed for AI, ML, and DL jobs?
As a job seeker, you should present yourself as a possible candidate to the employer. To succeed, you must have a thorough understanding of Algorithms, Applied Mathematics, Statistics, Probability, and Programming languages, as well as analytical and problem-solving abilities.
As reported by PayScale, a first-year machine learning engineer with less than one year of experience gets an average total compensation of $93,678 per year. A machine learning specialist can make up to $1 million per year in salary and benefits.
In the end you will know that Upskilling and reskilling is essential to stay ahead of changing market demands, as many roles are being outsourced, automated and eliminated, which may include your core skills as well. In order to stay on top of market trends and discover where your core skill is heading, you need to know and explore what you can do to have a leading edge on the next wave of change, through upskilling and reskilling, and having a voice in the advancement of your area of expertise.