Using AI to reduce time and costs in marketing

As technology develops faster and faster, AI becomes more and more ubiquitous in modern society. The definition of AI is that AI(Artificial Intelligence) is a branch of computer science that focuses on developing intelligent machines capable of performing tasks that would typically require human intelligence. It enables computers to simulate human cognitive processes such as learning, reasoning, problem-solving, and decision-making.

AI has already been applied in many fields, including healthcare, education, finance, transportation, entertainment, and more.

One of the most obvious advantages of AI is that it can help us reduce time and cost. So in this blog, we'll discuss the pros and cons of AI, and introduce the 10 best AI tools for you.

Pros of AI

1. Helpful in repetitive work

Unlike humans, machines don't need rest from the exhaust to enhance their productivity. In daily life, humans sometimes need to finish a lot of repetitive work. When continuously doing the same job, humans' productivity will decrease, that's also one of the reasons why humans can be productive only for 8-10 hours per day.

However, machines don't need rest. They can work all day long without reducing productivity. So AI can help us finish those repetitive work, and then we'll have enough time and energy to do those more sophisticated tasks.

2. 24/7 available

Just like what's mentioned above, humans can be productive only for 8-10 hours per day, but machines can work for 24 hours a day. One of the most representative examples is AI-based chatbots. Chatbots can handle multiple queries at a time, round the clock. In addition, AI can provide services without any delay. Nowadays, AI-based chatbots have already been applied in many fields, including eCommerce apps, e-learning websites, educational institutes, and so on.

3. Processing with fewer errors

Sometimes, people are prone to making errors when doing a specific task. That's probably because of the variation in individuals' intellectual abilities. However, if we use AI tools, we will finish our specific tasks based on the program. Therefore, the accuracy of tasks depends on the level of the design and program of the machines. Fewer errors also mean higher efficiency. The application of AI in all fields helps reduce those unnecessary errors and losses.

4. Digital assistance

Nowadays, most organizations use digital assistants to finish automated tasks, which helps save human resources. What's more, the application of digital assistants also changes the healthcare industry thoroughly. For instance, doctors can make diagnoses and take care of patients based on real-time data on patients, which is provided by digital assistants.

Cons of AI

1. Lack of creativity

AI is bound to rules and algorithms, so it can't be as creative as humans. Artificial intelligence can make learning from data easier for machines, but it can't exactly duplicate the human brain and abilities. The level of analytics employed by the designer will determine how accurate the findings produced by an AI-powered system will be. Nothing can be invented by artificial intelligence.

2. Privacy risks

As of 2019, the AI doorbell provider Ring had partnerships with more than 400 police agencies, enabling the authorities to request video from subscribers' doorbell cameras. Although consumers had the option to restrict access to any film, privacy experts worry that Ring's tight ties to the authorities may compromise customer privacy, especially given how frequently the doorbells capture the private property of others.

3. No Human Replication

Although they can develop to a very high level, AI cannot act or think like humans. Though considered clever, machines lack the capacity for moral judgment since they lack ethical or moral awareness. If the machines encounter a circumstance for which they were not designed, they will malfunction or produce unexpected effects.

4. Unemployment

Human interference is decreasing as robots take over the majority of repetitive chores and other jobs, which will have a significant impact on employment standards. Every firm aims to replace the bare minimum of skilled workers with AI robots that are more effective at performing the same tasks. Unemployment not only affects livelihoods but also destroys the meaningful relationship and sense of community brought by employment.

10 Best AI Tools

1. Scikit Learn

A well-regarded Artificial Intelligence (AI) program called Scikit-Learn makes difficult machine learning tasks simple. It has a straightforward and user-friendly interface that accommodates learners with all levels of expertise. Numerous functions, including those for data preprocessing, model selection, and evaluation, are offered by Scikit-Learn. Scikit-Learn gives users the tools they need to build and apply machine learning models with ease by utilizing its extensive documentation and powerful toolkit.

2. TensorFlow

TensorFlow is now the most popular deep-learning library. This Google machine learning framework is an open-source Python library. It is one of the top AI development tools that makes numerical computation easier and more accurate for creating predictions in the future.

3. PyTorch

Popular open-source machine learning framework PyTorch was created for Python. It is renowned for having a dynamic computation graph that enables developers to quickly build and alter neural networks. PyTorch is adaptable for a variety of machine learning tasks since it provides both high-level and low-level APIs.

4. CNTK

This is a Microsoft Cognitive Toolkit, which is similar to TensorFlow in design but is less straightforward to use. It mainly concentrates on building deep-learning neural networks and provides a wider range of APIs, including Python, Java, C, and C++.

5. Caffe

This University of California-developed open-source offers a Python user interface. The best uses for it are in industrial settings and scholarly study. It is one of the best artificial intelligence tools available. This is explained by the fact that it processes more than 60 million photos daily.

6. Apache MXNet

Amazon has chosen to use this artificial intelligence tool as its deep learning framework on AWS. This is not directly owned by a large firm, which creates a favorable climate for an open-source framework, unlike other tools.

Multiple GPUs and machines can execute it without any issues. a variety of APIs, including Python, C++, Scala, R, JavaScript, Julia, Perl, and Go, are also supported.

7. Keras

The AI tool Keras is well known for being straightforward and efficient when it comes to creating and refining neural networks. It enables users to build effective models for applications like image recognition and natural language processing with an intuitive interface and pre-built layers.

It is a well-liked option due to its usability and accessibility, which enables people to explore the fascinating world of deep learning with ease and confidence.

8. OpenNN

OpenNN is an Artificial Intelligence (AI) application that enables users to efficiently design and use neural networks. It has a user-friendly interface and a variety of capabilities, making it simple for researchers and students to use. Utilizing OpenNN's strong capabilities and tools, users can explore the enormous potential of neural networks across a variety of fields.

9. AutoML

One of the best AI resources currently available to machine learning engineers is this one. It uses machine learning techniques to automate the steps needed in formulating a real-world problem. This enables a data scientist to refocus his attention from menial, repetitive chores like modeling to solving the current challenge.

10. H2O

This deep learning platform is an open-source artificial intelligence solution for business. It aids in using the data at hand to make wise business decisions. Java is used to write H2O, which also has interfaces for R, Python, Java, Scala, CoffeeScript, and JSON. Predictive modeling, risk analysis, healthcare analytics, and insurance analytics are all fields where the technology is useful.

Conclusion

In conclusion, artificial intelligence (AI) has become a transformative force across various industries, offering numerous benefits and challenges.

In summary, while AI presents both advantages and disadvantages, the continuous advancements in AI tools have paved the way for innovation and progress. By understanding the pros and cons and leveraging the best AI tools available, we can harness the potential of AI while addressing ethical concerns and ensuring the responsible and beneficial use of this transformative technology.