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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. Data Platforms. Data Integration and Data Pipelines. Data preparation, data governance, and data lineage.

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Who to Follow in 2019 for Big Data, Data Governance and GDPR Advice

erwin

With this in mind, the erwin team has compiled a list of the most valuable data governance, GDPR and Big data blogs and news sources for data management and data governance best practice advice from around the web. Top 7 Data Governance, GDPR and Big Data Blogs and News Sources from Around the Web. . —

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

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Living in a data sovereign world

IBM Big Data Hub

In addition, certain countries have privacy laws that restrict the disclosure of personal data to third parties. Data sovereignty in the EU is an evolving field. There have been calls in Europe to create a stronger European-based cloud infrastructure that can help better ensure data sovereignty within the EU’s member states.

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Themes and Conferences per Pacoid, Episode 11

Domino Data Lab

This has implications for data science work, where so much of the heavy lifting of data preparation gets done in libraries like pandas, NumPy, etc., Program Synthesis Papers at ICLR 2018 ” – Illia Polosukhin (2018-05-01). Program Synthesis is Possible ” – Adrian Sampson (2018-05-09). AutoPandas: Origins.

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How generative AI impacts your digital transformation priorities

CIO Business Intelligence

During keynotes and discussions with CIOs, I remind everyone how strategic priorities evolve significantly every two years or less, from growth in 2018, to pandemic and remote work in 2020, to hybrid work and financial constraints in 2022. Customizing and developing LLMs requires a strong business case, technical expertise, and funding.