Remove big-data-problems
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Cybersecurity: A Big Data Problem

Cloudera

All of these functions rest on technology and share a valuable commodity: data. . Data is produced and consumed in ever-increasing amounts and therefore must be protected. Government networks are managed by CIOs and CISOs, with the CDO — the newest CXO position — shaping policies to handle data in support of government missions.

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Ultimate List of CFO Blogs and Resources – 2023 Edition

Jet Global

Blogs Podcasts Whitepapers and Guides Tools and Calculators Webinars Sample Reports The Evolution of the CFO into the Chief Data Storyteller View Insight Now Our Favorite CFO Blogs The Venture CFO Blog Link: [link] Are you looking for blog posts for CFOs by CFOs? They are one of the “Big Four” accounting firms.

KPI 105
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ChatGPT, Author of The Quixote

O'Reilly on Data

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. Specific prompts seem to “unlock” training data. Generative AI Has a Plagiarism Problem ChatGPT, for example, doesn’t memorize its training data, per se. This is the basis of The New York Times lawsuit against OpenAI.

Modeling 277
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Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software

DataKitchen

Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software Lowering Serious Production Errors Key Benefit Errors in production can come from many sources – poor data, problems in the production process, being late, or infrastructure problems. Data errors can cause compliance risks.

Metrics 120
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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Second, doing something new (especially something “big” and disruptive) must align with your business objectives – otherwise, you may be steering your business into deep uncharted waters that you haven’t the resources and talent to navigate.

Strategy 289
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The Business Analyst Competency List

BA Learnings

Being a business analyst is a journey filled with challenges and triumphs, where the treasure is not just data but insights that transform businesses. Analytical Acumen: Seeing The Forest And The Trees As a BA, your analytical skills can be compared to a finely-tuned compass, guiding stakeholders through the forest of data.

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Roles of Python Developer in Data Science Teams

Smart Data Collective

Data science is a very complex field that requires the insights of professionals from many different disciplines. One of the fields of professionals that are so important for data science projects are Python developers. Why is it so important in the data science profession ? What is the Python programming language?