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Salesforce Research: Knowledge graphs and machine learning to power Einstein
Explainable AI in real life could mean Einstein not just answering your questions, but also providing justification. Advancing the state…
Business
Open or closed? On graph database access, query languages, community building, and TigerGraph
Having an entry path, as well as a strong community, is important for any solution,…
Business analytics: The essentials of data-driven decision-making
Data shows that data-driven organizations perform better. But what does it take to get there?…
GDPR in real life: Transparency, innovation, and adoption across borders and organizations
Part two: Auditing data on premise and in the cloud, spurring innovation in machine learning…
GDPR in real life: Fear, uncertainty, and doubt
Part one: Why are most organizations still not ready for GDPR? And what are the…
Modernizing Hadoop: Reaching the plateau of productivity
What’s new in Hadoop, and how is vendor dynamics and strategy evolving? Hadoop is not…
Technical
Graph Therapy. The Year of the Graph Newsletter Vol. 20, June / May 2020
Parts of the world are still in lockdown, while others are returning to some semblance…
Data Lakehouse, meet fast queries and visualization: Databricks unveils Delta Engine, acquires Redash
Data warehouses alone don’t cut it. Data lakes alone don’t cut it either. So whether…
Streamlit wants to revolutionize building machine learning and data science applications, scores $21 million Series A funding
Streamlit wants to be for data science what business intelligence tools have been for databases:…
Another globally distributed cloud native SQL database on the rise: Yugabyte Raises $30 million in Series B Funding
Your good old on-premise SQL database is in terminal decline. Being a pure-play open-source cloud-native…
Compute to data: using blockchain to decentralize data science and AI with the Ocean Protocol
The conflict between access to data and data sovereignty is key to understanding how AI…