How to Boost Your Productivity Using AI

What is AI?

Technology has had a huge impact on our society and the way we do things. It has also improved how machines work and the services they offer through Artificial Intelligence (AI). Generally, AI describes a task that is performed by a machine that would previously require human intelligence. 

AI is defined as machines that respond to stimulation that is consistent with traditional responses from humans. AI makes it possible for machines to learn from experience and adjust to new inputs. That is possible since it uses technology that uses a large amount of data and recognizes data patterns.

Give A.I. Long Boring Jobs

Though some believe AI will take over their jobs, some are happy with this technology in the workplace. The reason being AI helps in creating a more diverse work environment, and it will do long, boring, and dangerous jobs. Thus, this will give humans ample time to continue being humans.

The use of AI has a huge impact in various sectors from healthcare, education, manufacturing, politics, and many more. Since AI can infiltrate almost any industry, it should be trained to handle boring tasks. By doing this, humans will be in a position to handle higher-level tasks.

Tools for Better Productivity on an AI Basis

AI machines are known to offer efficiency and can be used by businesses to improve efficiency. But for the tools to work, people need to learn how to make use of the AI Learning tools to improve performance. Learn about the tools that can save time and help to increase productivity.

  • Neptune: This is a lightweight but powerful metadata store for MLOps. The tools give you a centralized location you can use to display your metadata. By doing so, you can easily track the learning experience and results of your machine. The tool is flexible, and it is easy for you to integrate it with other machine learning frameworks.
  • Scikit-Learn: This is an open library source with a wide collection of tools to build machine learning models and solve statistical modeling problems. Using this tool will be easy for you to train your database on any desired algorithm. Thus, this will save you from the frustration of building your model from scratch.
  • Tensor flow: With this tool, you can build, train, and deploy models fast and easily. It comes with a comprehensive collection of tools and resources that can build ML-powered addition, their applications. This tool will be easy for you to build and deploy deep learning models in different environments.

Audio To Text Converter That Will Help You Work Faster

Transcribing audios can be a tedious task in your workplace. But with AI, that does not have to be the case. As long as you select the right tools, they will convert your audio to text and save you the time you used to do it manually. Here is a look at some tools you can use.

Audext.com: This is web software that you can use to transcribe your videos automatically. Audext is affordable and fast. Some features you will get when you use this software are:

  • Speaker Identification
  • Built-in editor
  • Various audio formats
  • Timestamps
  • Voice recognition

Descript.com: The software will offer you accuracy as well as perfect transcription each time. The system will keep your data safe and private. Some features you will get when you use this software are:

  • Sync files stored in the cloud
  • Can add speaker labels and timestamp
  • Import already done transcription for no charges 

Otter.ai: With this software, you can record audio from your phone or browser and then get it to convert it then and there. With otter, you will get automatic transcription, and it is easy for you to group and add members to it. Some features you will get from this software are:

  • Searching and jumping to the keywords within the transcript
  • Can speed up, slow down, or jump the audio
  • Can train the software to recognize certain voices for fast referencing in the feature

Future of AI

AI is working all around us by impacting how we live our lives, search engines, and dating prospects. It is hard to imagine AI getting any better. According to research, Ai will continue to drive massive innovation that will help in fueling many industries. In addition, it will have the potential to create many new sectors for growth. Thus, this will lead to the creation of more jobs.

Conclusion

Whether we fight it or not, AI is here to stay. For that reason, companies and industries should stop fighting this technology and start embracing it. The best way of doing this is by being aware of it and adapting it to the new technology.

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