Machine Learning (ML) vs. Artificial Intelligence (AI) — Crucial Differences

Artificial intelligence and Machine Learning are the part of computer science that are correlated with each other. These two technologies are the most trending technologies which are used for creating intelligent systems.

Although these are two related technologies and sometimes people use them as a synonym for each other, but still both are two different terms in various cases.

On a broad level, we can differentiate both AI and ML as:

Artificial Intelligence vs. Machine Learning: Required Skills

Because artificial intelligence is a catchall term for smart technologies, the necessary skill set is more theoretical than technical. Machine learning professionals, on the other hand, must have a high level of technical expertise.

Artificial Intelligence Skills

People pursuing a career in artificial intelligence must have a foundation in:

1. Algorithms, and techniques for analyzing them
2. Machine learning and how to apply techniques to draw inferences from data
3. The ethical concerns in developing responsible AI technologies
4. Data science
5. Robotics
6. Java programming
7. Programming design
8. Data mining
9. Problem-solving

Machine Learning Skills

People pursuing a career in machine learning must have a foundation in:

1. Applied mathematics
2. Neural network architectures
3. Physics
4. Data modeling and evaluation
5. Natural language processing
6. Programming languages
7. Probability and statistics
8. Algorithms

The Future is now with AI and ML 

So, by now, you’ve learned the basic differentiating factors between ML and AI. Machine learning uses past experiences to look for learned patterns, while Artificial Intelligence uses the experiences to acquire knowledge and skills, then applies that knowledge to new scenarios.

It’s clear that both AI and machine learning have valuable business applications, empowering companies to respond quickly and accurately to changes in customer behavior and solve critical business problems.

As the adoption of AI and ML become more commonplace, namely predictive analytics and data science will see a massive uptake in virtually all industries across the marketplace.

Reference Link:

https://www.charterglobal.com/machine-learning-vs-artificial-intelligence-whats-the-difference/

https://www.charterglobal.com/ai-machine-learning/

Top Technology Trends Moving into 2021

 Artificial Intelligence as a Service

Artificial Intelligence or AI is the most revolutionary technology trend going on. It is a computerized system built to mimic human behavior and intelligence to perform tasks such as image recognition, speech with decision making, and finding patterns. AI can do these more accurately and faster than humans!

AI has received a lot of buzz in recent years, and it continues to be a 2021 trend because of the way it affects how we live our lives.

Read more: https://www.charterglobal.com/defining-artificial-intelligence-ai/

Machine Learning:

Machine learning or ML is a central element of Artificial Intelligence, but there are many divisions in the world of machine learning, including graphic models, natural language processing (NLP), and deep learning.

ML is capable of turning a vision of self-driving cars into reality, machine learning has already proven to be revolutionary for the transportation industry. Even the most conventional and traditional businesses such as the supply chain have been able to transform to a turbo speed with the help of machine learning.

This technology trend is also helping people to lead safer lives by carrying out jobs that could be extremely dangerous, like drones, and robots powered by ML have taken over highly risky tasks like bomb-defusing and testing gas pipelines.

Read More: https://www.charterglobal.com/machine-learning-solutions/

Edge Computing:

Edge computing assists computation and data storage together closer to the collection device, instead of depending on one major location that can be miles away.

It is done so that real-time data, does not suffer storage issues that can affect an application’s performance and output. It also helps companies save money by allowing the processing done locally, deducting the amount of information that needs to be processed in a cloud-based location.

Read More: https://www.charterglobal.com/7-iot-trends-on-the-rise/

Conclusion:

These top technology trends are going to be the center of attention for the tech world as we expect 2021 to be a year of innovations and possibilities.

Hopefully, these new trends will bring positive and valuable results, offering promising career potential now and for the coming future.

Further reads: https://www.charterglobal.com/top-3-new-technology-trends-for-2021/

3 Ways Artificial Intelligence (AI) Services will Impact the Economy in 2020 and Beyond

1) Increasing efficiency and accuracy in our everyday work.

It’s tempting to believe that artificial intelligence services can do just about anything. If tech experts are to be believed, artificial intelligence (AI) has the potential to transform the world. Tech entrepreneur, Elon Musk, says this would be a threat to humanity and life as we know it.

Even though thinking among AI researchers has evolved over the years, the future impact of AI is strongly debated among experts.

Currently, AI and machine learning solutions power self-driving cars, complex ad-tech audience optimization, and a host of intelligent agents such as Alexa, Cortana and Siri. At the same time, leading AI experts, business owners, and analysts caution against an overly rosy view of its current capabilities.

The hype surrounding AI’s potential has misled many into overlooking its current utility. Eventually, AI will redefine industries and build technologies we never thought possible. However, business leaders and AI experts say the real value in today’s AI lies in increasing efficiency and accuracy in our everyday work.

2) Preparing for The Future – The Government’s Role

Artificial Intelligence (AI) Solutions holds the potential to be a major driver of economic growth and social progress. If industries, society, government, and the public work together to support development of this technology with thoughtful attention to its potential and managing its risks, then everyone will benefit.

The U.S. government has several roles to play. Participation in conversations about important issues is key; this is to help set the agenda for public debate. In fact, this initiate can monitor the safety and fairness of applications as they develop, and adapt regulatory frameworks to encourage innovation while protecting the public.

Another utility the government can provide is public policy tools to ensure that disruption in the methods of work enabled by AI increases productivity while avoiding negative economic consequences for certain sectors of the workforce. Not only this, but the government can support basic research and the application of AI to public good. One of those features is to support development of a skilled, diverse workforce.

Government can apply AI to serve the public faster, more effectively, and at a lower cost. Many areas of public policy, from education, to defense, to environmental preservation, and criminal justice, will see new opportunities and new challenges driven by the continued progress of AI.

To enable these policies, it’s crucial for the U.S. government to understand and adapt to these changes.

3) Economic and Social Morality

As the technology of AI continues to develop, practitioners must ensure that AI-enabled systems are governable. This is to ensure they are open, transparent, and understandable. In essence, AI must work effectively with people, so that their operation will remain consistent with human values and aspirations.

Researchers and practitioners have increased their attention to these challenges, and should continue to focus on them.

Developing and studying machine learning development services can help us better understand and appreciate our human intelligence. Used thoughtfully, AI can augment our intelligence and help us to chart a better and wiser path.

Charter Global offers AI resources to a variety of different types of projects. Consult us for expert help, and learn more about what we can do to achieve your AI goals.

Read More:

https://www.charterglobal.com/artificial-intelligence-impact/

https://www.charterglobal.com/ai-machine-learning/

Understanding the Difference Between Machine Learning vs. Artificial Intelligence | Charter Global

Machine Learning Development Service

ML is technically a subset of AI. Essentially, ML provides systems the ability to automatically learn and improve from experience without being explicitly programmed; focusing on the development of computer programs that can access data and use it learn for themselves.

In other words, Machine Learning Development Service relies on processing big datasets, while detecting trends and patterns within that data and essentially “learning” about these trends along the way.

Like people, machines have the ability to “learn,” acquiring knowledge and/or skills through their unique experiences. For example, say you have an ML program with lots of images of skin conditions, along with what those conditions mean.

The machine learning algorithm examines the images and identifies patterns, allowing it to analyze and predict skin conditions in the future.

When the machine learning algorithm is given a new, unknown skin image, it will compare the pattern in the current image to the pattern it learned from analyzing past images. In the instance of a new skin condition, however, or if an existing pattern of skin conditions changes, the algorithm will not predict those conditions correctly.

This is because one must feed in all the new data so that the algorithm can continue to predict skin conditions accurately.

Artificial Intelligence (AI)

Unlike machine learning services, AI learns by acquiring and then applying knowledge. The goal of AI is to find the most optimal solution possible, by training computers a response mechanism equal to or better than that of a human being.

In the instance of adaptation in new scenarios, Artificial Intelligence services is perhaps the most ideal.

Let’s take a simple video game, for example, where the goal is to move through a minefield using a self-driving car. Initially, the car does not know which path to take in order to avoid the landmines.

After enough simulated runs, large amounts of data are generated concluding which path works and which paths do not. When we feed this data to the machine learning algorithm, it is able to learn from the past driving experience and navigate the car safely.

But, what if the location of the landmines has changed? The machine learning algorithm does not know these individual landmines exist, rather, it only exclusively knows the all it knows the pattern resulting from the initial data.

Unless we feed the algorithm the new data so it can continue learning, it will continue to guide along that (now incorrect) path.

Enter, AI – capable of analyzing new data in an algorithm to determine multiple factors; answering questions like, why did the paths change? Which direction is most ideal, given the new circumstances, and where are the new hot-spots? It will then codify rules of those hot-spots where the land mines exist.

Slowly, AI will begin to avoid them altogether by following the new trails – just like people, learning and adapting to new boundaries and environmental challenges.

The Future is Now with AI and ML

So, by now, you’ve learned the basic differentiating factors between ML and AI. Machine learning uses past experiences to look for learned patterns, while Artificial Intelligence services uses the experiences to acquire knowledge and skills, then applies that knowledge to new scenarios.

It’s clear that both AI and machine learning have valuable business applications, empowering companies to respond quickly and accurately to changes in customer behavior and solve critical business problems.

As the adoption of AI and ML become more commonplace, namely predictive analytics and data science will see a massive uptake in virtually all industries across the marketplace.

For More Information, Please visit our website:

https://charterglobal.com/technology-solutions/machine-learning/

The Future Impact of Artificial Intelligence (AI) | Charter Global

Preparing for The Future – The Government’s Role

Artificial Intelligence Services holds the potential to be a major driver of economic growth and social progress. If industries, society, government, and the public work together to support development of this technology with thoughtful attention to its potential and managing its risks, then everyone will benefit.

The U.S. government has several roles to play. Participation in conversations about important issues is key; this is to help set the agenda for public debate. In fact, this initiate can monitor the safety and fairness of applications as they develop, and adapt regulatory frameworks to encourage innovation while protecting the public. Another utility the government can provide is public policy tools to ensure that disruption in the methods of work enabled by AI increases productivity while avoiding negative economic consequences for certain sectors of the workforce. Not only this, but the government can support basic research and the application of AI to public good. One of those features is to support development of a skilled, diverse workforce.

Government can apply AI to serve the public faster, more effectively, and at a lower cost. Many areas of public policy, from education, to defense, to environmental preservation, and criminal justice, will see new opportunities and new challenges driven by the continued progress of AI. To enable these policies, it’s crucial for the U.S. government to understand and adapt to these changes.

AI Morality

As the technology of Artificial Intelligence continues to develop, practitioners must ensure that AI-enabled systems are governable. This is to ensure they are open, transparent, and understandable. In essence, AI must work effectively with people, so that their operation will remain consistent with human values and aspirations. Researchers and practitioners have increased their attention to these challenges, and should continue to focus on them.

Developing and studying machine intelligence can help us better understand and appreciate our human intelligence. Used thoughtfully, Artificial Intelligence can augment our intelligence and help us to chart a better and wiser path.

Charter Global

Charter Global offers AI resources to a variety of different types of projects. Consult us for expert help, and learn more about what we can do to achieve your Artificial Intelligence goals.

Read More: https://www.charterglobal.com/artificial-intelligence-impact/