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The Foundations of a Modern Data-Driven Organisation: Change from Within (part 2 of 2)

Cloudera

The report classified employees’ reasons for leaving into six broad categories such as growth opportunity and job security, demonstrating the importance of using performance data, data collected from voluntary departures and historical data to reduce attrition for strong performers and enhance employees’ well-being.

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5 key areas for governments to responsibly deploy generative AI

IBM Big Data Hub

In 2024, the ongoing process of digitalization further enhances the efficiency of government programs and the effectiveness of policies, as detailed in a previous white paper. Two critical elements driving this digital transformation are data and artificial intelligence (AI).

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Five Ways AI Can Help States Solve Their Hardest Problems (Part 4): Super-Charge the Public Sector Workforce with Intelligent RPA

DataRobot

In the hiring process, traditional RPA accomplishes two tasks: job applicant data collection (e.g., After an applicant accepts an offer, RPA can automate the process to collect and update information within a company’s existing HR systems. As more data is trained and examined, the intelligence of the system evolves and improves.

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Responsible AI Relies on Data Literacy

DataRobot

Because of the multidisciplinary nature of AI products, stakeholders across an entire organization must share a common understanding of each project’s scope, deployment, governance , impact, and projected risk. Achieving that level of governance at scale requires a common understanding of AI and data concepts. WHITE PAPER.

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Can Machine Learning Address Risk Parity Concerns?

Smart Data Collective

Here at Smart Data Collective, we have blogged extensively about the changes brought on by AI technology. One of the most important changes pertains to risk parity management. We are going to provide some insights on the benefits of using machine learning for risk parity analysis. What is risk parity?

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10 Fundamental Web Analytics Truths: Embrace 'Em & Win Big

Occam's Razor

Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization. It is faster to fail and learn then wait for an "industry case study" or find relevancy in a "industry leader white paper" I met a small group of top companies in London recently.

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Transfer Pricing Methods and Best Practices

Jet Global

This is especially true given the guidance from OECD BEPS, scrutiny from Revenue Authorities, along with increased public scrutiny and the reputational risk that comes with transfer pricing that appears to be blatantly tax-avoidant. Transfer pricing solutions like Longview allow you to effectively manage large volumes of data.