AI in practice - Generating value with AI - also for non-members
People and businesses have within the previous decade, been curious about artificial intelligence (AI) and its potential. However, an excess amount of opposing information and AI explanations has obscured the common understanding of AI, and only a few have figured out how to generate real and measurable value with AI.
- What is AI
- How can you generate value with AI
This webinar addresses applied AI with topics ranging from data ingestion, AI model development, deployment, as well as operation and illustrates how an AI platform lowers the barrier of entry by standardizing processes, and securing scalability of AI models across the organization. This seminar will provide insights into specific cases on how AI can improve revenue potential, increase productivity, and reduce risks within organizations.
In many organizations, the frequent problem is that you have a lot of data, but what do you get out of it? Not utilizing data often occurs due to unawareness of its advantageous applications. Since all AI algorithms are built on a foundation of data, AI can leverage data as a resource, allowing the organization to utilize data to its full potential.
Several organizations have already figured out how to do this. But at this stage, AI has yet to generate real business value. The pressing issue at this stage is that the AI algorithms are not scalable and not taken into production and operation across the organization.
When it comes to successful AI projects, model deployment (also known as productionization) is key. At this stage, the developer facilitates autonomous operability of the AI algorithms, enabling it to run and scale without intervention and thus being utilized to its full potential. Algorithmic monitoring is furthermore also enforced during deployment to ensure sustainable operability of the AI algorithms.
Achieving a successful AI project entails a broad spectrum of efforts, ranging from from data collection, on which the AI algorithms are built, to productionization, where the value of AI is generated. One important aspect to keep in mind when embarking on an AI journey is that it encompasses multiple components. Specifically, the area of intellectual interest (the agenda set by academia) as well as the actual integration, production, and operations (the agenda set by the industry) are dictating the advancements in AI. It’s in the interplay between these two fields where the real value of AI is!
The webinar will start with a short introduction followed by a presentation by the speaker. It will be possible to ask questions in the chat during the webinar.
Place: Online (Zoom platform)
Date: 25th November 2020
Duration: 1 hour
Kristoffer Gordon Clausen, Data Scientist, 2021.AI
As a Data Scientist at 2021.AI, Kristoffer has modeled multi-process manufacturing lines for pharmaceutical companies, predicted container dwell times for container port terminals, and deployed several models for telecom clients. Kristoffer is also a board member at Neural, a student-run society for AI in Denmark.
Registration: Sign up via Dansk IT: here
Registration for non-members:
Are you not a member of Finansforbundet? Participate in the webinar by writing to email@example.com with name, mobile, e-mail and company. We will call you afterwards to hear about the experience, as well as tell you about the services we provide that could be of value to you.
You will receive an email with more practical information approx. 1 week before the start of the course.
This course is offered in collaboration with DANSK IT, Denmark's largest independent association for IT professionals and IT users