Remove Data Quality Remove ROI Remove Uncertainty
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The state of data quality in 2020

O'Reilly on Data

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Adopting AI can help data quality.

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Build a strong data foundation for AI-driven business growth

CIO Business Intelligence

If the data volume is insufficient, it’s impossible to build robust ML algorithms. If the data quality is poor, the generated outcomes will be useless. By partnering with industry leaders, businesses can acquire the resources needed for efficient data discovery, multi-environment management, and strong data protection.

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Sustainability: Real progress but also thorny challenges ahead

CIO Business Intelligence

Dealing with uncertain economic environments, which can distract from sustainability issues: Energy prices, price inflation, and geopolitical tensions continue to fluctuate, and that uncertainty can impact focus on environmental sustainability. The key is good data quality. have their own additional regulations.

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What you need to know about product management for AI

O'Reilly on Data

Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. There are strategies for dealing with all of this uncertainty–starting with the proverb from the early days of Agile: “ do the simplest thing that could possibly work.” What delivers the greatest ROI?

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

datapine

Currently, 32% of businesses use multi-cloud cybersecurity tools to reduce the financially devastating risk of data breaches, while 31% of leading enterprises use direct multi-cloud cost management tools to mitigate financial efficiency across the organization. In both cases, the return on investment (ROI) is healthy.

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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. The team implemented a phased approach to the human-centered design assessment, which led to a data-driven roadmap of recommended technological enhancements. frequency (how many occurrences?), time (how much time is lost?)

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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. These could also be analyzing projected RoI vs Alignment of these initiatives to operational and strategic objectives or zero-based budgeting. Integrated Customer Engagement: The Need of the Hour! Stay safe and stay integrated!

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