Bots built upon machine learning need long training processes to have the ability to hold a meaningful conversation with real people. Training data becomes, therefore, a diamond in the rough; all companies need such input for their bots. Until now, this data was generated in a slow manual way. However, speeding up your bot training can now come true with artificially generated data.
Scientific language knowledge is a complement, or an alternative, to statistically-only motivated language analysis, that is why Bitext comes up as the right framework to use for Machine Intelligence.
2016 has been a very successful year for Artificial Intelligence and for Machine Learning, however both fields have an incredible potential to grow, and that is what we expect to see in this newly started year.
In the last three years, data seems to be everywhere – there is no one who hasn’t heard about “Big data”. However, the key is not how large your datasets are, but the quality of the information you can extract from them.
The increase of online shopping is not something new, from 5 years until now it has been growing exponentially and it is expected to keep doing it, after all around 41% of total population with internet access has made at least one purchase online. According to Statista from 2012 till 2018, e-commerce sales are expecting to increase 123% achieving a total value of 2,356$ billions. Considering this value, who doesn’t want to be a part of it?