Consulting companies are integrating machine learning and deep learning solutions within their service portfolio. Many of them are following an AI and automation first strategy: for every business problem they encounter, they look at how AI and automation can fix it.
Next, we list our solutions for Consulting and Professional Services enterprises.
More and more companies are realizing the importance of having an AI strategy. At Prometeo,
we can help build an AI roadmap and work with your company's Data Scientist and Engineers to
help you implement machine learning and deep learning end-to-end systems.
One of the main potentials of chatbots is their ease of use and that they’re platform agnostic.
These digital assistants are able to send texts, images, audios, links and messages in real
time as responses to queries from users. Bots can be used to
improve customer service, help customer to make better decisions or automatize claim
Optical Character Recognition (OCR) technologies allows to read and process text from different
sources. It can be used to manage invoices, process forms and digitalize documents. Other
technologies within the spectrum of Natural Language Processing (NLP) can help on classifying
legal documents and control regulatory compliance.
Knowledge management is one of the most difficult problems to solve
in a company. With more and more data created every day, it is quite
difficult to know what is happening inside the company and where to
find past documents and resources. Intelligent knowledge summarization
uses Natural Language Processing (NLP) techniques to perform intelligent
searches across unstructured data. It can also be used to summarize
documents, selecting the most meaningful sentences in an article and
arranging them in a comprehensive manner.
Currently, many financial forecasting and planning processes are manually intensive and suffer
from inherent human biases. Machine Learning and Deep Learning are used to improve predictive
(what will happen) and prescriptive (the best course of
action) financial forecasting processes. Cash-flow forecasting, revenue forecasting, cost and
expense planning, and balance-sheet planning are all areas of predictive financial analytics
that will benefit from AI technologies.
AI is reinventing critical HR responsibilities, including operations,
talent acquisition, and talent development. AI algorithms can reduce
human bias, by removing skewed human perspectives in the decision-making
process, improve the efficiency of candidate screening, by analyzing massive
amounts of data very quickly to help HR professionals take the best decisions,
or predicting the employee likelihood of leaving the company.