Data Extraction in 2020: In-depth guide for business users

The dramatic increase in the volume of unstructured and semi structured data has made data extraction vital. This is because structured data can be processed and analyzed more accurately than other types of data since it is machine-readable.

Automated data extraction software helps companies to automatically pull data from various sources. Automated data extraction enables businesses to save time & costs, reduce manual errors, improve their decision-making processes and save employees from mind-numbing repetitive work. Read more

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AI in Automation: Which tasks can we automate in 2020?

The advances in AI since the rise of deep learning can usher a new age of automation as machines go beyond human capabilities in a wide range of tasks.

The jobs that can be mostly automated include

  • predictable physical labor
  • white-collar back-office work: data collection and processing

Machines can now perform the activities involved in these jobs better/cheaper than humans. These activities include tasks that involve manipulating tools, extracting data from documents and other semi-structured data sources, making tacit judgments and even sensing emotions. In the next decade, driving is likely to become automated as well, enabling one of the most common professions to be automated. Read more

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Optical Character Recognition (OCR) in 2020: In-depth Guide

Imagine you want to edit a printed document like a book, a magazine article or a printed contract. You need to spend hours to type the document from the beginning and be careful about the mistakes. Or you can use an Optical Character Recognition (OCR) tool to scan the printed document and digitize the whole text.

OCR is a great solution for converting human-to-human communication but falls short when converting more structured documents such as forms that need to be processed by machines.

Human-to-human communication is mostly in the form of free text like the one you are reading now. Such documents are called unstructured data and while they are great for human-to-human communication but they are hard for machines to understand. OCR converts the text in unstructured data into machine readable text so it can be searched and therefore more easily consumed by humans. Read more

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100+ AI Use Cases / Applications in 2020

AI is becoming more integrated into our lives with more AI use cases emerging. This leads to increased interest in AI, its subdomains and related fields such as machine learning and data science: 

Google Trends showing increased interest in AI, ML and data science

According to a recent Gartner survey, 37% of organizations are still looking to define their AI strategies. To integrate AI into your own business, you need to identify how AI can serve your business, possible use cases of AI in your business. This article gathers the most common use cases covering marketing, sales, customer services, security, data, technology, and other processes: Read more

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Advantages of AI in 2020 according to top practitioners

Alternatives to modern AI approaches including machine learning include rule based systems and manual labor. AI systems can surpass both alternatives in terms of cost, speed and effectiveness in many areas.

Rule based systems are better than modern AI solutions where it is possible to formulate a fixed set of rules to solve a problem/make the optimal decision.

Manual labor is more preferable to modern AI solutions where AI solutions do not yield a sufficient ROI. This is likely to happen in cases where Read more

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