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Pace of Tech Demands a Smarter Learning Approach. Bring On Community-Driven Learning

CIO Business Intelligence

Other companies try to jump-start knowledge by bringing in consultants, but this risks only temporarily plugging the gaps. They recognize the wealth of knowledge held by individuals in their teams, and create an agile, natural process to share this knowledge via hands-on workshops.

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How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

Cloudera

But it’s also fraught with risk. This June, for example, the European Union (EU) passed the world’s first regulatory framework for AI, the AI Act , which categorizes AI applications into “banned practices,” “high-risk systems,” and “other AI systems,” with stringent assessment requirements for “high-risk” AI systems.

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Decide to Decide Digitally: New Forrester Research

Decision Management Solutions

Most organizations have many such decisions they could usefully digitize but many struggle to identify them ( get in touch if you are interested in our remote decision discovery and decision value assessment workshops). Identify the predictions that would change and improve your decision-making.

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Business process reengineering (BPR) examples

IBM Big Data Hub

Technologies such as supply chain management software (SCM), enterprise resource planning (ERP) systems, and advanced analytics tools can be used to automate and optimize processes. Frustrated customers were left stranded in call lines and Bouygues at risk of being replaced by its competitors. The result?

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Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

Trying to dissect a model to divine an interpretation of its results is a good way to throw away much of the crucial information – especially about non-automated inputs and decisions going into our workflows – that will be required to mitigate existential risk. Jupyter Community Workshop , Jun 22-23, Córdoba. Because of compliance.

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Data Science, Past & Future

Domino Data Lab

You know, case in point, if you were to talk about predictive analytics 20 years ago, the main people in the field would have laughed you out of the room. Predictive analytics, yeah, not so much.” You see these drivers involving risk and cost, but also opportunity. It changes how we have to respond to it.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

Some data is more a risk than valuable. What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer? Risk Management (most likely within context of governance). Note: Delivery of data, analytics solutions and the sustainment of technology, data and services is a question.