To become an enterprise that is truly ready for all the possibilities and benefits that come with Artificial Intelligence, some preparations are in order.
Actuellement, deux types d'entreprises génèrent de la valeur pour leurs parties prenantes : les innovateurs et les entreprises “data driven”, celles qui fondent la création de valeur sur l’exploitation systématique des données.
Currently, 2 types of companies generate value for their stakeholders: innovators and data-driven businesses.
These successful businesses combine a data-centric approach with Artificial Intelligence (AI) and Machine Learning capabilities. To increase their agility to maximum levels, they bring it all to the Cloud. But of course, having all these strategies, platforms and mind-blowing capabilities wouldn’t lead to anything without having the right talent and skills on board.
According to research done by Gartner Inc., only 47% of data science projects were fully deployed with 29% being partially deployed and 24% not being deployed.
This indicates a significant amount of projects that are not reaching the final stages of deployment.
The main difficulty business face comes from the actual deployment into business processes and applications.
Below you can find an overview based on data from research done by Gartner, Inc. on the main barriers companies face trying to deliver business value.
Surprisingly so lack of support from internal management and the lack of skills are the second and third main reasons why these projects seem to fail at an alarming rate.
As we mentioned before, the companies that currently manage to succeed in their data science projects are either data-driven or innovators. But what if we told you, it’s not about being either one of those but combining both and using Artificial Intelligence to do so.
That’s right, you can become an innovative business that’s truly data-centric. But how?
Artificial Intelligence can create strong business outcomes for your business. However, AI will only generate even better business outcomes for established businesses when:
1. Companies adapt their organizational models to valorize their data.
2. Companies build an enterprise data platform enabling operation Data Governance
3. Companies enhance data science skills with data engineering
Making sure these 3 pillars are put in place correctly is how we’ll ensure your company becomes a true data-centric organization.
The possibilities to innovate business models with AI are almost endless, so what are you waiting for? The experts at Micropole are ready to help you become an AI-ready enterprise and deliver actual, strong business outcomes.
Read this use case on a Belgian Health Insurance Fund that dramatically reduced after-call work for call-center agents and provided a real-time overview of the current sentiment of customers and where to find the pain points in their customer’s journey.
Sounds like something you could use? Create the ideal experience for your customer and become aware of what they are thinking and doing in real-time with the help of Artificial Intelligence.
It's actually quite simple: we know what needs to be done beforehand so you have every chance at successfully deploying data science projects in your line of business.
How can we be so sure? We have the talent, the innovative spirit and the proven knowledge/use cases to back it up. That's right, we what we're talking about.
Discover why we are the perfect fit for your business needs:
OUR OFFER TO BECOME AN AI-READY ENTERPRISE
Micropole is one of the leading companies helping businesses to imagine and implement their data and digital strategies.
OUR DISTINCTIVE ADDED VALUE FOR YOUR BUSINESS
We understand your business needs and issues.
INNOVATION IS IN OUR DNA
We create innovative and technological experiences.
WE HAVE THE OPERATIONAL PERFORMANCE TO GET THINGS DONE
We execute and deliver with agility and proximity.
For many of our clients, the use of Machine Learning and Cloud has proven to accelerate their business by turning their data into actionable insights.