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Architectural Patterns for real-time analytics using Amazon Kinesis Data Streams, Part 2: AI Applications

AWS Big Data

Now get ready as we embark on the second part of this series, where we focus on the AI applications with Kinesis Data Streams in three scenarios: real-time generative business intelligence (BI), real-time recommendation systems, and Internet of Things (IoT) data streaming and inferencing.

IoT 91
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Supply Chain Tips for Software Companies to Avoid Data Breaches

Smart Data Collective

Whether it’s outsourced development, open-source components, or external hosting services, each can play a significant role in the efficiency of a software supply chain. 7 Connected Devices With the rise of the Internet of Things (IoT), more and more devices are being connected to corporate networks.

Software 106
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Governance and Fighting the Curse of Complexity

CIO Business Intelligence

Password strategies. There are also complex ERP and CRM solutions – as well as inputs from OT and IoT systems and devices. Here we can look at monday.com, Asana, Trello, Hive, Zoho, and a host of others. There’s the complexity of security in the organization. Incident response plans. Training and awareness. Encryption.

IoT 62
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Smart Cities Increase Efficiency, Safety and Sustainability

CIO Business Intelligence

strategy, which will focus even more on enhancing customer service on the city’s digital infrastructure. On top of a double-digit population growth rate over the past decade, the city hosts more than 40 million visitors in a typical year. Ready to evolve your analytics strategy or improve your data quality?

IoT 145
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The DataOps Vendor Landscape, 2021

DataKitchen

GitHub – A provider of Internet hosting for software development and version control using Git. AWS Code Commit – A fully-managed source control service that hosts secure Git-based repositories. Azure Repos – Unlimited, cloud-hosted private Git repos. . Cynozure – Data and analytics strategy consulting.

Testing 300
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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

In practice this means developing a coherent strategy for integrating artificial intelligence (AI), big data, and cloud components, and specifically investing in foundational technologies needed to sustain the sensible use of data, analytics, and machine learning. We are beginning to see interesting industrial IoT applications and systems.

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Accelerate Agency Missions with Data in Motion

Cloudera

It is constantly generated – and always growing in volume – by an ever-growing range of sources, from IoT sensors and other connected devices at the edge to web and social media to video and more. Agency CIOs and CDOs have plenty to consider when designing an effective data infrastructure and strategy.

IoT 88