Power BI can also do Machine learning, and it doesn’t have to be hard. 

The easiest way to get started is with Power BI Auto ML, but you can also write R or Python directly in Power BI, although the best solution for organizations that want to do governed ML with reliable ML pipelines, or even ML-Ops is Azure Machine learning service.

With Azure Machine learning service, you can both train ML models with auto ml, notebooks or use the interactive ML designer with prebuild modules. You can use many different languages, such as python, R & SQL. When the ML models are trained, they can be published into production and be used directly in Power BI, pretty cool. 
We will cover many options in this webinar, so of course we will add plenty of links to learning resources for deep dives.

Contents with agenda

ML in Power BI

• Auto ml in Power BI
• Python & R in Power BI

 Azure Machine Learning Service

• AutoML
• Notebooks
• Designer
• Pipelines
• Deployment & use in Power BI

Emilie Lundblad

Managing Director of Data & AI at Amesto Nextbridge
Speaker at Make Data Smart & Genesis Conference
12 Microsoft Data & AI certifications
Minor in Machine learning & AI from MIT (Guest lecturer fall 2022)

Writing master thesis in AI on Executive master of IT Management at ITU (Guest lecturer fall 2022)

Candidate in quantitative finance & econometrics
12+ years' experience with data & analytics, 6 of them in Data & AI consulting.

Startup entrepreneur & data nerd.

Laura Frølich
Lead Data Scientist at Amesto NextBridge Denmark. Previously, Laura applied data science in the water sector and supervised MSc students at DHI, did consulting at Teradata and researched non-specific effects of vaccines at the Danish SSI.

Laura holds a PhD in machine learning from DTU.