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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

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SHARED INTEL: VCs pumped $21.8 billion into cybersecurity in 2021 — why there’s more to come

The Last Watchdog

Among them: an expanding digital footprint, growing attack surfaces, and increasing government regulation. Securing APIs. The SolarWinds attack made API supply chain security a front-page story in 2020. Given all of this newfound concern for API supply chain security, where are the tools for solving this problem?

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Big Data Hub

This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML).

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Building your enterprise AI governance roadmap in our AI-powered world

Collibra

As organizations increasingly embrace AI, understanding and implementing effective enterprise AI governance is becoming more and more critical to sustaining AI success and mitigating risk. Today, AI-driven organizations can leverage AI governance to mitigate risk, adhere to legal requirements and protect privacy.

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Data Governance for Smart Data Distancing

erwin

During this coronavirus emergency, we are all being deluged by data from politicians, government agencies, news outlets, social media and websites, including valid facts but also opinions and rumors. On a business level, decisions based on bad external data may have the potential to cause business failures.

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How to improve AI governance in healthcare with Collibra Data Intelligence Cloud

Collibra

Since AI relies heavily on data, the integrity and quality of the underlying data upon which AI models are trained is critical to ensure accuracy and remove the risk of model bias and opacity. Training data can fast become a problem without proper controls in place.

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Microsoft helps close the UK digital skills gap

IT Governance

The event programme includes keynote presentations and technical workshops aimed at business leaders, IT professionals, HR/training managers and students. With up to 82% of UK job roles requiring digital skills , the UK government has long recognised the need to support the growth of digital careers at all stages.