This webinar will enable you to
Harness the opportunities of AI-enabled analytics
Explore the potential of prescription BI analytics with GenAI
Lean about Tableau Pulse as generative AI analytics tool of choice
Keyrus and Tableau experts Craig Andrew, Head of Data Analytics, Keyrus and Francois Zimmerman, EMEA Field CTO, Tableau, outlined the trends in AI-enabled analytics, key governance considerations, and how to strike a balance between innovation and responsible data management.
The key topics discussed included:
Progression from descriptive, diagnostic, and predictive into prescriptive BI analytics
The exciting potential of generative AI in delivering prescriptive BI analytics
How to overcome trust gaps surrounding generative AI
Introduction of Tableau Pulse as generative AI tool for analytics
Democratising data through personalised, contextual and smart data analytics
Quality control and data governance layers of Tableau Pulse providing guarantees and trust
Read the full summary of the covered topics and experts' opinions
Keyrus is a trusted partner for building sustainable, high-performing data architectures, utilising the latest technology and AI functionality. Download the complete guide to our services or contact us at sales@keyrus.co.za
The event's agenda in detail
1. Discover the trends and opportunities in AI-enabled analytics
How are data analytics and business intelligence changing with the presence of artificial intelligence? What are the key benefits, outcomes improvements, and potential threats and pitfalls of deploying AI? Most importantly, how do we prepare and embrace AI in the business intelligence world? These topics will be discussed during the webinar. Read this blog article on what AI 'thinks' of the future of AI in BI.
2. Learn how to mitigate governance risks in the new era of analytics
Data Governance emerges as paramount in the digital era marked by vast data generation and the increasing application of AI tools. It establishes practices and standards that assure data quality, security, availability, and ethical usage, especially in the light of stringent data protection laws such as GDPR and POPIA. Non-compliance or overlooking data governance can lead to risks including data breaches, legal consequences, flawed decisions, operational inefficiencies, and biases in AI systems. Tools and methods, such as data access control, authentication and authorization, and specific data governance tools like Tableau and Informatica, are vital to address these concerns. Effective data governance strategies and tools will be covered during the event. Further insights on this topic can be found in his thought leadership article.
3. Explore best practices in using Tableau Pulse advanced data analytics powered by AI
Tableau Pulse is built on underlying Tableau GPT technology, powered by Salesforce’s Einstein GPT and OpenAI’s generative AI technology. Tableau Pulse is a reimagined data experience for business users that will empower every employee with intelligent, personalised, and contextual insights delivered directly in their flow of work. Download this guide to the Features and Benefits of Tableau Pulse.
4. Find out how Keyrus and Tableau empower your data-driven enterprise
To leverage AI effectively, organisations must establish data governance frameworks with AI-specific considerations; such as defining guidelines for the responsible use of AI algorithms, ensuring the fairness, transparency, and ethical use of data, and addressing potential biases and discrimination in AI models. Importantly, data governance needs to ensure that citizen data visualisation and AI initiatives align with privacy regulations and data protection laws.
Learn how to achieve data governance best practices for robust data management that empowers employees to make informed decisions, identify patterns and trends, and uncover valuable insights that can drive efficiency, optimize operations, and enable better customer experiences. You will also discover how the right data governance framework can mitigate risks associated with data misuse, maintain data quality and integrity, and foster trust among employees, customers, and other stakeholders.