Vlad Zamfirescu
Chief AI Architect EMEA
Vlad is the Chief AI Architect EMEA for IBM Consulting and is part of the Global AI & Analytics Center of Competence (CoC).
The Global AI & Analytics CoC is the recognized leader for delivering solutions to clients across all industries and verticals. We combine the latest technologies with the technical depth of IBM and our extensive network of partners to design and implement innovative solutions for IBM clients.
In this global team that contains some of IBM’s biggest analytics experts, Vlad helps IBM clients break new ground using data science, machine learning, and cognitive computing technologies as a hands-on practitioner with multiple delivered projects for some of the biggest enterprises across different industries.
As Chief AI Architect EMEA, Vlad is directly responsible for providing technical leadership to international clients and IBM practitioners alike through the conceptualization and implementation of highly scalable reference architectures that leverage innovative methodologies and technical accelerators. Furthermore, he is actively contributing to the strategy, innovation, architecture, and code deliverables for the IBM Consulting Offerings and Methodologies that are leveraged by IBM clients globally to achieve their business and technical goals.
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.
Panel Discussion: 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.