Launch of the Multipersona Data Science and Machine Learning Platform Market Guide
Data Science and Machine Learning are evolving rapidly with trends such as vision augmentation and data democratisation. Dataiku has released an open report to facilitate those with technical and non-technical roles with the application of multipersonal DSML platforms.
- Multipersona data science and machine learning (DSML) platforms democratise the use of data science, bringing its value to an ever-larger audience of less technical experts.
- Increasingly, multipersona platforms incorporate analytics and business intelligence functionality, covering the analytics spectrum from descriptive and diagnostic to predictive and prescriptive.
- Expert data science, citizen data science and other approaches have clearly distinguished themselves and are thriving in separate but also combined initiatives, making DSML more a multidisciplinary group effort.
- The responsible use of DSML is critical for business and society. Governance and risk management are required to meet the growing regulatory pressure regarding privacy protection, bias avoidance and transparency. Governance is also needed considering the business-criticality of DSML in digital transformation and decision automation.
Read more about this open report here.
Recap Knowledge Session on urgent questions about ChatGPT
Pascal Wiggers, Frank Kresin and the Digitial Society School recently organized a knowledge session to discuss the possibilities and dangers of ChatGPT for education with teachers.
ROBUST AI programme receives additional €25 million in funding from Dutch Research Council
ROBUST, a new initiative by the Innovation Center for Artificial Intelligence (ICAI).
UvA Impact Stories presents first edition on Smart Cities
UvA’s new segment called Impact Stories just released its first edition which will focus on Smart Cities. Learn more about cameras, AI and the use of your data in the smart city here. In this piece, UvA researchers Cees Snoek and Heleen Janssen are examining the massive potential, pitfalls and impact of all this knowledge on our society.