Explainable AI is becoming increasingly important in many industries, as it allows stakeholders to understand the reasoning behind AI decisions. In this piece, we discuss five techniques that can be leveraged to achieve effective explainable AI.
Month: February 2023
Daniel Iuga, Graphic Designer, on Aligning Form and Function in Creating and Consolidating the AscentCore Brand.
When it comes to graphic design and custom illustrations, no one could make us prouder than Daniel. His background in Arts is very far from his career in Marketing, although he does acknowledge some advantages that help him in this field, as he became an expert in aligning form and function when developing the AscentCore brand. See some samples of Dani’s work and find out what makes a designer “tick” in the story of his experience here at AscentCore.
Ciprian Lupu, Senior Software Engineer, on Staying on Top of Latest Advancements in The Field
Ciprian is very passionate about Android development and loves to develop new and innovative solutions to problems he encounters in his day to day work. We sat down with him to talk about the importance of teamwork and collaboration when trying to reach common goals, some key attributes that will ensure success in the field as well as his career plans.
What Role Does Data Play in Explainable AI?
As data plays a major role in explainability, enterprises must develop a strategic approach to its management and governance to ensure that data is available, consistent, legally and ethically sourced, usable, and secure.