Skills Development
We can impart training to engineering teams in natural language processing concepts. The pre-requisite for the training would be basic mathematics, algorithms and programming skills.
It turns out that it is not very difficult to get started with statistical methods and approaches to NLP. For example, a few days of training will suffice to teach the basics of classification.
We can help you develop training modules to suit your needs in the following areas:
Classifiers
Rule-based and bayesian classifiers.
Sequential Classifiers
Training on the algorithms associated with Hidden Markov Models.
Bayesian Statistical Machine Learning Concepts
Exploring graphical models and their applications.
What We Bring
What we bring to the table is not just a passion for the subject, but also a considerable amount of resources, including corpora, software components, and learning material.
Our Philosophy
We sometimes encounter people who feel that competitive advantage can be derived simply by hoarding skills and information, and that we should therefore try and remain exclusive as the only purveyors of statistical NLP wisdom in India.
It is our belief, and perhaps our philosophy, that in reality things are a lot more nuanced and complicated. Below are some arguments that throw some light on why we are of this view:
- In a growth market like artificial intelligence, as some problems are solved, others will be created, so even if there are many more players in the field, there will be no loss to our earnings potential.
- Even were this not a growth market, sharing skills with a number of other people will allow new approaches to evolve and disruptive technologies to appear and possibly turn the market into a growth market.
- Having other players in the market helps reduce gestation times for us and for our clients, because we don't have to solve all the problems ourselves.
- More players also reduce risks all around and when there is cooperation, make it possible to undertake larger and more ambitious technology projects.
- As for competitiveness, we believe that the first player advantage, combined with the investment in components, products and branding will give us a huge advantage in attracting and retaining the best of the talent that we help create.