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Decision Making with Uncertainty Requires Wideward Thinking

Andrew White

COVID-19 and the related economic fallout has pushed organizations to extreme cost optimization decision making with uncertainty. As a result, Data, Analytics and AI are in even greater demand. So conventional wisdom (see second example below) was that you needed to focus heavily on a broad data quality program.

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Optimizing Risk and Exposure Management – Roundtable Highlights

Cloudera

In this session we explored what firms are doing to approach the uncertainty with more predictability. One participant emphasized their firm’s focus on the foundational aspects of data first before applying AI recognizing if data quality is not good the application of AI/ML won’t be applied with accuracy.

Risk 99
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Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability

DataKitchen

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability In a world where 97% of data engineers report burnout and crisis mode seems to be the default setting for data teams, a Zen-like calm feels like an unattainable dream. What is Data in Use?

Testing 169
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Avoid generative AI malaise to innovate and build business value

CIO Business Intelligence

However such fear, uncertainty, and doubt (FUD) can make it harder for IT to secure the necessary budget and resources to build services. Ensure that data is cleansed, consistent, and centrally stored, ideally in a data lake. Data preparation, including anonymizing, labeling, and normalizing data across sources, is key.

Data Lake 124
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Data Equals Truth, and Truth Matters

erwin

In these times of great uncertainty and massive disruption, is your enterprise data helping you drive better business outcomes? Optimizing data management across the enterprise delivers both tactical and strategic benefits that can mitigate short-term impacts and enable the future-proofing required to ensure stability and success.

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Boost Data Literacy to Overcome Skills Shortages

Jet Global

Enabling your existing workforce to be more productive with data is key to increasing quality and speed of output. When you consider it from that perspective, it makes sense to invest in optimizing the processes and tools that build data literacy across the organization.

Finance 52
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How data, automation and AI are transforming Business Process Outsourcing into a competitive advantage

IBM Big Data Hub

Technology-enabled business process operations, the new BPO, can significantly create new value, improve data quality, free precious employee resources, and deliver higher customer satisfaction, but it requires a holistic approach. “Modern BPO is a creator of growth, differentiation and competitive advantage,” Manik says.