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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. Operations.

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Why Finance Teams are Struggling with Efficiency in 2023

Jet Global

The Impact of Market Uncertainty This year, Finance decision-makers are feeling pressure from both internal and external sources. For example, interactive, real-time, refreshable reporting technology can save time on repetitive tasks and increase efficiency within your organization.

Finance 52
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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. Contagion Impacts – interactions of different risks and related impacts were brought into focus by the pandemic and it highlighted the area that need attention.

Risk 97
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How Remote Data Teams Are Winning in Times of COVID-19

Octopai

Some data teams working remotely are making the most of the situation with advanced metadata management tools that help them deliver faster and more accurately, ensuring business as usual, even during coronavirus. Smarter Business Intelligence is an Asset During Uncertainty.

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Integrated Customer Engagement: The Need of the Hour!

bridgei2i

The current COVID-19 pandemic has spread waves of uncertainty across businesses and their customer base. Maintain Communication: It’s crucial that customer interactions are maintained and that sales and customer success teams have joint interactions with customers to: Listen for any changes to the customer environment and resulting decisions.

B2B 52
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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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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?). frequency (how many occurrences?), time (how much time is lost?)