Data Science / AI
Data Science leverages data and uses the most advanced technologies and algorithms to create knowledge and drive predictions. By developing analytical models, it makes possible to explain, predict and automate decisions.
Data Science is the root for Artificial Intelligence and its uses are exploding. There are many disciplines that are related to Data Science: Artificial Intelligence, which includes Machine Learning and Deep Learning, Statistics, Data Preparation, Data Visualisation (Dataviz).
Integrating AI and Data Science
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Green AI: Responsible artificial intelligence is also frugal
When it comes to Artificial Intelligence, it’s not only about improving performance at any costs. Its benefits along its adoption requires AI to be responsible by also including an environmental...
AI Industrialization: the key steps to a MLOps approach
The industrialization of artificial intelligence - one of the 7 hot data topics for 2022 requires the implementation of MLOps. This approach includes some necessary steps, including a common platform...
PODCAST | Data Science applied to Vertical Farming: the future of sustainable farming
By 2050, there will be over 6.5 billion people living in urban spaces according to a United Nations report, making it a real future challenge to feed them all. Vertical...
WHITEPAPER | Data Ethics/AI Ethics: the 2 faces of a responsible future
Artificial Intelligence is at the heart of all attentions and concerns right now. Did you know that the real difficulty with Artificial Intelligence is not the algorithms, nor the design...
WHITEPAPER | Artificial Intelligence: Stay in control of your future!
If there is one topic that really ignites passion and fuels all ideas and discussions in the world of new technologies, it’s Artificial Intelligence. What are the opportunities for enterprises?...
Statistics versus Machine Learning: should they really be opposed?
This "seemingly" old debate deserves to be revisited with fresh perspective. Data Science (such as Big Data) is a constantly evolving field with nowadays proven applications namely in the fields of customer knowledge and marketing… Statistics...
The 5 key Data Science practices
In the wake of Big Data, many companies embarked on the Data Science journey, the field having established itself as the inescapable route towards Big Data transformation into knowledge and...
The key to Data Science success is the CRISP methodology
The CRISP methodology (originally known as CRISP-DM), first developed by IBM in the 60s for data mining projects, remains, today, the only truly efficient process used for Data Science projects… CRISP methodology: User guide The CRISP methodology includes 6 steps that range from business understanding to deployment...
Data Science and AI: how to properly scope your business projects?
An increasing number of companies are opting for data-driven strategies and embarking on marathon Data Science and Artificial Intelligence projects, in the hope of sharing the benefits of new technologies...
How is the Port of Antwerp optimising logistics with data science?
Looking for fast, intelligent exploitation of its mass of data, the Port of Antwerp turned to Business & Decision to optimise and secure the safety and efficiency of its maritime...
CRM and artificial intelligence: how to develop and optimise your data
We are launching a series of three articles setting out our current vision of digital projects connected with customer relations. In this first article we will investigate the current trends...
Artificial intelligence, machine learning, data science: are these terms interchangeable?
Many writers talk about AI, machine learning and data science, as if these terms were broadly interchangeable. What’s going on exactly?
![[EXPERT DISCUSSION] Artificial Intelligence in 7 key points](https://en.blog.businessdecision.com/wp-content/uploads/2017/06/debat-intelligence-artificielle.jpg)
[EXPERT DISCUSSION] Artificial Intelligence in 7 key points
Artificial Intelligence (AI): these two words are on everyone’s lips at the moment. They carry both hope for unprecedented development and fears revealed by the greatest science-fiction writers.
VIDEO: Soccer Player Predicted As Top Rising Star - Back In November
Did you know that Big Data can help us predict who the future soccer stars will be? This is precisely what happened in Riyad Mahrez’s case, PFA Player of the...
Understanding AI and Data Science
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REPLAY | #Data / #AI: our experts analyze the trends for 2022
In 2022, data and AI are more than ever a key priority for companies. For the sixth consecutive year, Business & Decision is presenting the key trends in Data and...
PODCAST | Artificial Intelligence to better protect us in times of pandemics
Artificial Intelligence & Machine Learning technology are playing a key role in better understanding pandemics. More specifically, AI can support decision makers in taking the right actions to handle a...
Can a whole Data Science project be done using R or Python?
For several years now, many Data Scientists have found themselves turning to "language" command line tools, such as R and Python, to deal with Big Data. But can you really undertake a whole Data...
Does Auto-Machine Learning (AutoML) really exists?
Automated machine learning (AutoML) has existed since 1990, it was considered as a silent revolution in the Artificial Intelligence (AI) field. When we analyze the term AutoML, we see that...
Data Science: the 4 obstacles to overcome to ensure a successful project
The last five years we have seen the number of Data Science projects carried out by Business & Decision in various sectors, such as the oil industry, telephony, retail and...
Data Engineer: which training programs to choose?
To all those young people wishing to embark on a career in Data Science, my advice was to begin with a Data Engineering job rather than directly as a Data...
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