Data Science Dojo

OCTOBER 10, 2023

These events are more than just webinars and presentations; they’re a vibrant marketplace of ideas, where professionals from various facets of AI converge, explore collaborations, and even stumble upon new career paths. However, in previous iterations of the summit, speakers have included prominent voices in data engineering and analytics.

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Snorkel AI

JUNE 22, 2023

Jacomo Corbo is a Partner and Chief Scientist, and Bryan Richardson is an Associate Partner and Senior Data Scientist, for QuantumBlack AI by McKinsey. They presented “Automating Data Quality Remediation With AI” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022. That is still in flux and being worked out.

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Data Quality AI AI ML 52

ODSC - Open Data Science

JANUARY 18, 2024

Cybersecurity Measures to Prevent Data Poisoning Bad actors always look for ways to twist AI algorithms into something more sinister, making data poisoning a serious issue that you should be prepared for. Check out ODSC’s Ai X Podcast, a new series where we take deep dives into the data science topics you care about.

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Precisely

SEPTEMBER 26, 2024

Key Takeaways: Trusted AI requires data integrity. For AI-ready data, focus on comprehensive data integration, data quality and governance, and data enrichment. Building data literacy across your organization empowers teams to make better use of AI tools. The impact?

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IBM Journey to AI blog

OCTOBER 2, 2024

These professionals encounter a range of issues when attempting to source the data they need, including: Data accessibility issues: The inability to locate and access specific data due to its location in siloed systems or the need for multiple permissions, resulting in bottlenecks and delays.

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Business Intelligence Business Intelligence Power BI Data Quality 58

Dataconomy

JULY 25, 2023

Diverse job roles: Data science offers a wide array of job roles catering to various interests and skill sets. Some common positions include data analyst, machine learning engineer, data engineer, and business intelligence analyst.

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Snorkel AI

JULY 5, 2023

Organizations struggle in multiple aspects, especially in modern-day data engineering practices and getting ready for successful AI outcomes. One of them is that it is really hard to maintain high data quality with rigorous validation. More features mean more data consumed upstream.

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