talk-data.com

Date&time: November 30, 2023, 15:00-17:40

Venue: Vilnius Tech Park, Antakalnio 17, Building No.3 (follow Qlik Meetup directions) Format: Live meeting with snacks&drinks Dedicated to: Qlik developers, data architects Event languages: English

Agenda:

15:00-16:00 Qlik Guest Track (60 min). Utilizing Qlik AutoML: How to enable new business cases with machine learning and AI. Guest speaker: HANNU RANTA, Qlik Nordics (in English)

16:00-16:40 Track of Analytics in Cloud (40 min): Accelerate and Automate: Discovering Qlik's Automation Capabilities through use cases. Speaker: ARTJOMS TUKUMS, Infotrust (in English)

16:40-17:25 Data Management Track (45 mins): Snowflake. Speaker: MĀRIS SVILĀNS, Infotrust (in English)

17:25-17:45 Understanding Qlik's Licensing Structure: a short summary for successful Qlik Cloud adoption (20 min) Speaker: MĀRIS SVILĀNS, Infotrust (in English)

Follow us here and see an updated information. Many thanks.

Any questions: [email protected]

Date&time: November 29, 2023, 15:00-17:40

Venue: Rixwell Konventa Seta Design Hotel (Kalēju iela 9/11, Riga) Format: Live meeting with snacks&drinks Dedicated to: Qlik developers, data architects Event languages: Latvian, English

Agenda:

15:00-16:00 Qlik Guest Track (60 min). Utilizing Qlik AutoML: How to enable new business cases with machine learning and AI. Guest speaker: HANNU RANTA, Qlik Nordics (in English)

16:00-16:40 Track of Analytics in Cloud (40 min): Accelerate and Automate: Discovering Qlik's Automation Capabilities through use cases. Speaker: ARTJOMS TUKUMS, Infotrust (in Latvian)

16:40-17:25 Data Management Track (45 mins): Snowflake. Speaker: MĀRIS SVILĀNS, Infotrust (in Latvian)

17:25-17:45 Understanding Qlik's Licensing Structure: a short summary for successful Qlik Cloud adoption (20 min) Speaker: MĀRIS SVILĀNS, Infotrust (in Latvian)

Any questions: [email protected]

Machine Learning with Qlik Sense introduces practical applications of machine learning within the Qlik platform. Through this book, you will gain a thorough understanding of fundamental ML concepts, learn to apply these within Qlik Sense, and see how to use predictive analytics to solve real-world problems. The hands-on examples ensure you can translate learnings into actionable insights. What this Book will help me do Understand the key principles of machine learning and how to apply them using the Qlik platform. Develop skills in data preprocessing and analysis to prepare datasets for machine learning models. Learn to validate and interpret machine learning models and evaluate their performance. Master advanced visualization techniques for presenting insights derived from data. Apply newfound knowledge to practical business problems through real-world use-case examples. Author(s) Hannu Ranta is an expert in data analytics and has extensive experience utilizing the Qlik platform to derive actionable insights from data. With years of practical exposure and a focus on teaching, Hannu brings a clear and structured approach to using machine learning for analytics. His writing seeks to empower readers to achieve practical solutions using Qlik's powerful tools. Who is it for? This book is perfect for data analysts, data scientists, or anyone working in data analytics who wants to incorporate machine learning into their skill set. It is especially suited to those with a basic familiarity with Qlik tools or data analysis concepts. Beginners in machine learning can also benefit because the book starts from foundational concepts and builds step-by-step.