Ionut Bardasu
IT Area Lead | MBA
Ionut believes that by choosing to work within IT, you are in fact choosing to work in the most dynamic industry and you are building the next big thing. In IT, something is happening each and every moment and if you are not fascinated by the latest trends, you cannot succeed in the long journey.
He found his passion in Machine Learning while doing his MBA, and from that moment he knew that this is the “next great thing” and this is where he has to invest more and more.
So, he decided to conclude his MBA with a Thesis about how to introduce machine learning into the banking sector.
He thinks that we are seeing more and more developments in the AI world, and this will bring a lot of disturbance to every industry. AI is the future.
Since then, he coordinated and promoted AI implementations in the Financial Industry and worked with several partners to do his part for future mankind’s progress.
He also enjoys giving back what he learned along his journey and he is spending a lot of time coaching, mentoring, listening to colleagues, and understanding every situation, with the sole purpose of trying to add value and see how AI can help. There is no right or wrong approach and it is his belief that we can all learn something from each and every interaction.
He gets excited about new challenges where he can use his experience to build new cool things that can help him and the company in getting closer to customers by listening and acting on their behalf.
Presentation : The Lifecycle of AI Projects in the Enterprise
Enterprises are looking at AI as the main catalyst for their digital transformation journey and as such started allocating more resources to this focus area in recent years. Nevertheless, most AI projects never go past the conceptualization or PoC phases. Thus, it’s important to apply a holistic approach when it comes to conceptualizing, designing, implementing and scaling AI projects. In this presentation, we want to share with you our experience when it comes to the end-to-end lifecycle of implementing AI projects for enterprises.
Debate: AI in the Wild: Benefits and Challenges of Implementing Real-World Use Cases
Even though AI has been around for a while, it still continues to amaze us by continuously expanding to new areas, and addressing increasingly complex challenges. However, AI algorithms and capabilities are not meant to be leveraged in a vacuum – they are meant to address real world challenges and deliver value through their application to tangible use cases. In this session, we want to share our knowledge and expertise related to applying AI to real-world challenges. As you will see, technology in general is just one component of many complex interacting parts in the overall value creation chain that are ultimately influenced and guided by people and processes when it comes to generating value through AI.