Are you ready for the AI era and the challenges it brings? Understanding and adapting to AI technologies require specific professional competencies. For instance, data literacy is crucial for interpreting and leveraging data effectively. Critical thinking helps in making informed decisions and solving complex problems. Technical skills, such as programming and machine learning, are essential for developing and managing AI systems. And creativity drives innovation and the ability to think outside the box.
How can you stay efficient and aligned with the rapid pace of technological development? Continuous learning and upskilling are the key. Jiřina will share a recipe for (self)development, helping you navigate and thrive in this dynamic landscape.
Master Data Management (MDM) plays a crucial role in ensuring the success of artificial intelligence (AI) projects. It provides a solid foundation by guaranteeing consistency, accuracy, and quality in the data that AI models are built upon. This creates reliable conditions for predictions and decision-making. MDM also enables a single source of truth, improving decision-making efficiency and minimizing the risk of errors and inconsistencies. Additionally, it supports the scalability of AI projects by simplifying data integration and significantly reducing the time and costs associated with data preparation.
Tired of those sky-high data costs? Join us for a talk on how smart data governance can be the cure for your data headaches. We'll dive into the challenges of managing data in the AI era, share real-world examples, and highlight how concepts like data contracts and a semantic layer can enhance efficiency and improve data quality. We'll also discuss how treating data as a product and focusing on what's truly important can make all the difference. Don’t miss out on this chance to learn more on how to streamline your data management.
Data quality and trustworthiness. Security, privacy, disclosure, data integration. We all know we should do it, but do we? We at SAS do! For a long time now! And we have a brand new platform that combines the best of SAS' historical strengths with the latest trends in data analytics. We can look at data in a whole new way, combining the entire cycle from data governance to ModlOps in one place. And we do this for both code-positive and business users. We successfully integrate Python and R, and thanks to openness combined with enterprise robustness, we can drive innovation even where it might squeak at first. Come and see how SAS can help you!
Accelerate your path from idea to proof of concept. Our platform empowers you to build working data application prototypes at lightning speed, revolutionizing how you bring your business ideas to life. Transcend the limitations of conventional dashboards. Craft data applications with embedded logic and bi-directional control through reverse ETL.
Since the boom began in November 2022, generative AI has proven to be an excellent assistant in many areas, but most of the hyped scenarios involve working with text. In the demos, we'll see what Copilot looks like in Power BI and how generative AI can save analysts work, from writing code to working with interactive dashboards.
Artificial Intelligence (AI) is playing an increasingly important role in the digital world, but its true capabilities are often hidden behind generic definitions. During his presentation, Michal will share concrete examples of how AI is transforming daily operations at Notino. He will show how it is being used to streamline processes, improve customer experience and increase revenue. Come, be inspired and discover how AI can make your business more competitive. Don't miss this unique opportunity to learn how technology is shaping the online business landscape.
Do you know how often customers return to your store, or rather go to your competitors? How many loyal users has your app compared to the competition's? How do customers behave in shopping centres and business parks, where do they come from and how long do they stay? At O2, we need to be data experts to get our services right. But also other businesses can benefit from our approach. We'll use real-life examples to show how we can effectively select locations for stores, optimize shopping centre marketing or plan outdoor advertising campaigns. Then, in the online world, how can customers stay loyal to a brand and where they can eventually go
We will focus on the practical use of data analytics and artificial intelligence to support entrepreneurs. We will present the innovative "Where to Start a Business" platform, which uses anonymised, aggregated card transaction data to help entrepreneurs find the best locations for their business. The platform will demonstrate how a data-driven approach is transforming business strategies by improving decision-making, minimising risk and optimising resource utilisation.