Remove Data Quality Remove Risk Remove Uncertainty Remove Visualization
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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? A data-driven approach has never been more valuable to addressing the complex yet foundational questions enterprises must answer. Create always-available and always-transparent data pipelines.

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12 Cloud Computing Risks & Challenges Businesses Are Facing In These Days

datapine

Traditional spreadsheets no longer serve their purpose, there is just too much data to store, manage and analyze. Be it in the form of online BI tools , or an online data visualization system, a company must address where and how to store its data. The next part of our cloud computing risks list involves costs.

Risk 237
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How to Build Trust in AI

DataRobot

They all serve to answer the question, “How well can my model make predictions based on data?” In performance, the trust dimensions are the following: Data quality — the performance of any machine learning model is intimately tied to the data it was trained on and validated against.

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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 176
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Data Science, Past & Future

Domino Data Lab

He also really informed a lot of the early thinking about data visualization. It involved a lot of interesting work on something new that was data management. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. You know what?

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Human-centered design and data-driven insights elevate precision in government IT modernization

IBM Big Data Hub

Government executives face several uncertainties as they embark on their journeys of modernization. and quality (how does this impact service delivery, business process and data quality?). Throughout the visual representation of the journey, pain points are plotted accordingly. frequency (how many occurrences?),

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How Intelligent is Your Financial Intelligence Process?

Jet Global

In a Deloitte survey, 67 percent of the 1,048 executives who participated said they were uncomfortable accessing data using the tools they have available. They prefer to ask an accountant or someone from IT to retrieve data for them. Worse, those consequences are now more probable with data volumes rising rapidly.

Finance 64