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.
CWI spin-off company DuckDB Labs helped create startup MotherDuck which aims to connect DuckDB to the cloud. MotherDuck sports some big names: its CEO is Jordan Tigani, founding engineer at Google’s BigQuery, Google’s fully managed data analysis platform. A big part of the $47.5 million funding comes from Andreessen Horowitz, a prominent venture capital firm, specialized in technology startups.
Breaking ground as the first international conference on Hybrid Human Artificial Intelligence, HHAI22 held its first-ever in-person meeting in Amsterdam in the summer of 2022, establishing the beginnings of an international research community. ADS contributed to the conference by hosting a Meetup around the topic of Hybrid Intelligence.
There are legal rules and ethical frameworks, but little or no practical guidance on responsible design. In her inaugural lecture “System error, please restart”, Nanda Piersma argues what ‘responsible’ means and how we can carry out the (further) development of IT systems in such a way that they earn our trust.