In the knowledge age, information management poses a major challenge. Companies have more information than ever, but they cannot take full advantage of it with traditional tools. The solution lies in intelligent systems that are able to fit each user's needs.
Reports, articles, tweets, summaries, news, budgets, emails, handbooks, invoices, briefings, presentations ... In most companies, huge amounts of valuable content are created, consumed and stored on a daily basis. Are these resources available to every employee who needs them? Are they easy to find? Are they shared to avoid redundant efforts? Thinking about these questions is the way to find the answer to this article’s title.
The concepts of Artificial Intelligence, Machine Learning, Deep Learning and Big Data have become increasingly important. However, these terms are often confused.
We are going to explain the differences between these buzzwords in a simple way. First, we will clarify the concepts and then we will focus on their differences.