Remove Data Quality Remove ROI Remove Strategy 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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What you need to know about product management for AI

O'Reilly on Data

This means that the AI products you build align with your existing business plans and strategies (or that your products are driving change in those plans and strategies), that they are delivering value to the business, and that they are delivered on time. Machine learning adds uncertainty. AI product estimation strategies.

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What’s New and What’s Next in 2023 for HPC

CIO Business Intelligence

Deployed successfully around the globe, liquid cooling is becoming essential to future proofing data centers. Scaling out and developing large-scale systems : To meet demand, the HPC industry is developing and honing strategies to effectively scale and deploy large systems that are both efficient and reliable. IT Leadership.

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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. This figure represents how strategy and finance teams might be working hand-in-glove with other business functions to predict how the situations will evolve and impact revenue, which thereby impacts Opex. For Existing Customers.

B2B 52
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12 Cloud Computing Risks & Challenges Businesses Are Facing In These Days

datapine

We discussed already some of these cloud computing challenges when comparing cloud vs on premise BI strategies. In both cases, the return on investment (ROI) is healthy. This has increased the difficulty for IT to provide the governance, compliance, risks, and data quality management required. Lack of resources/expertise.

Risk 237
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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. Using data, user research and human-centered design to effectively address these considerations can help you develop a clear modernization strategy that objectively drives your priorities, backlogs and roadmaps.

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Product Management for AI

Domino Data Lab

The person who sets strategy, defines the rules of the market game you’re playing, and they work together with all these different teams and functions within the business to prioritize projects and execute on a roadmap to deliver those. And then you’ll do a lot of work to get it out and then there’ll be no ROI at the end.