The Business of Data Science

Together, we will explore how Business Professionals, CEO’s, Executives, can forge the path towards modernity, adapting and incorporating data science for business efficiency and profitability as a goal, however building a data scientist mind-set to start build modern data business units and organizations, following the four pillars. 

Intuition, comes when we make the complex, easy. Therefore, the audience will be explained the foundational knowledge needed to understand data science and AI. Covering its components in a tangible easy to understand way. This keynote session delves into strategies for navigating the complexities of data collection, data science models and model processing, analytics and predictive analytics.  You will discover how your business can use data, apply AI and data science to become a powerful force for positive change for an entire business, business unit or organization.

Real world applications, are crucial for helping business professionals understand the power of data science. This keynote therefore provides real world examples in which data science has been used for business purpose successfully. Providing a view to technical results, as well as team management, project planning, and pricing projects. 

Technicality, takes the center stage next, highlighting the details of how AI and its model work in the inside. Explore the different model approaches technically, and how AI reaches the result it reaches. We ‘pop the hood’ and demystify artificial intelligence which bases itself in data science models of advanced statistics and machine learning to leverage data effectively. 

Business profit, becomes the cornerstone in our journey, fostering a culture of transformation, openness and due diligence to make data modernity concepts real for business. Uncover the transformative impact of data practices, ensuring that insights are based on accurate organized data and how transformation happens. 

Finally, explore the ethical dimensions of data in business, challenging biases, and embracing a commitment to truthfulness. Through thought-provoking insights, we will redefine the boundaries of ethical data usage...