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The Data Integration Solution Checklist: Top 10 Considerations

Precisely

Key Takeaways: Data integration is vital for real-time data delivery across diverse cloud models and applications, and for leveraging technologies like generative AI. They continue to seek new ways to add value and stake out a leadership position as new technologies emerge.

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Solving Complex Telecom Challenges with Data Governance and Location Analytics

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Telcos constantly seek innovative new ways to gain market share, increase efficiency, improve service, and optimize network investments. You need to make the most out of your location data to accelerate network planning and performance and achieve higher levels of customer satisfaction.

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Location APIs: Powering Greater Accuracy and Context for Your Business Applications

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According to the 2023 Data Integrity Trends and Insights Report , data quality is the #1 barrier to achieving data integrity. And poor address quality is the top challenge preventing business leaders from effectively using location data to add context and multidimensional value to their decision-making processes.

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Understanding The Phenomenal Impact of Social Data on B2B Funnels

Smart Data Collective

We recently talked about the benefits of using big data in marketing. We even discussed some tools that leverage big data to get more value out of marketing strategies. At the top of the funnel (TOFU) are fresh new leads who are just discovering your offerings. These are all great reasons to use big data in marketing.

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Monitoring Machine Learning Models in Production

Heartbeat

It involves collecting and analyzing data on various aspects of the model’s performance, including its accuracy, precision, recall, and F1 score, as well as its bias , fairness , and stability. There are several aspects to model monitoring, including data monitoring, model performance monitoring, and feedback monitoring.

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Why a Streaming-First Approach to Digital Modernization Matters

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Data is one of the most valuable assets in most modern organizations. In today’s world, data comes from diverse sources, in different types and formats, and at varying speeds. Those systems are ill-suited to keep pace with businesses that need to ingest and analyze data in real time.

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Text Summarization for NLP: 5 Best APIs, AI Models, and AI Summarizers in 2024

AssemblyAI

Text Summarization can be applied to static, pre-existing texts, like research papers or news stories, or to audio or video streams, like a podcast or YouTube video, with the help of Speech-to-Text APIs. These are sometimes referred to as AI summarizers. 31:42: 90% of Americans now live within 5 miles of a vaccination site.

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