It’s a Wrap! It has been an inspiring and exhilarating last three days at CogX 2019. We’ve thoroughly enjoyed being at the global epicenter of AI and Data, speaking to future and current industry titans at our stand and taking in an immense depth of knowledge on both highly exciting prospects and deeply pressing issues that are associated with our collective future.
Data deluge Day two of CogEx (or #SogEx as some wag has christened the event on Twitter in the aftermath of yesterday’s downpours), thankfully the skies have remained clear and positivity has shone through. This was apparent in today’s opening session on the main stage, ‘Transformation in the age of machines’ from Salim Ismail of OpenEXO.
Inspired by the seven « wastes » popularised in lean manufacturing, Artefact has adapted this concept to the field of artificial intelligence. This study is based on more than 30 artificial intelligence projects over the last three years.
The increasing understanding of and experience with artificial intelligence by organisations might seem contradictory given the lack of significant AI implementation within most enterprises.
Artefact’s Top Tips for establishing an AI lab
Artefact combines the dynamism and innovative spirit of a start-up with the professionalism of a globally active company, with a clear focus on the core topics of data and AI. We help to initiate the change process, evaluate benefits and build knowledge with our customers to create clear competitive advantages.
Fantasies are commonplace when it comes to AI. However, it is necessary to find the right environment for implementation in order to fully embed AI within the healthcare field.
This is especially true when it comes to knowing which data is most important in order to understand consumers. It is less about WHO they are, WHAT they did, and much more about HOW they behaved. The way consumers behave on an online platform will tell you more about their propensity to spend than other factors. Brands need to capture this data, and many do not.
At the origin of programmatic purchases, the promise was to rely on an algorithm to buy the right ad at the right time for the right user. How? By analyzing in real time more than 40 advertising variables in a few milliseconds. If today’s purchase orders and auctions are driven by an algorithm, what is the purpose of the media trader if not to press a button to launch a campaign?
