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Gen AI Perspectives from Industry Leaders Shaping the Future

Snowflake

This generative powerhouse has fueled vertical integration, giving rise to industry-specific solutions that harness the full potential of generative capabilities and unlocked the imagination of many. This blog highlights three key gen AI trends the two AI leaders see emerging. That day, you should know, has passed.”

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Harness the Power of Pinecone with Cloudera’s New Applied Machine Learning Prototype

Cloudera

The use of Pinecone’s technology with Cloudera creates an ecosystem that facilitates the creation and deployment of robust, scalable, real-time AI applications fueled by an organization’s unique high-value data. We invite you to explore the improved functionalities of this latest AMP.

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Top 10+ IoT Research Topics for 2024 [With Source Code]

Knowledge Hut

In this blog, we will discuss the top 10 Internet of Things research topics and ideas for 2024. Soil monitoring can help farmers make informed decisions about crop management and reduce the amount of water and fertilizer used. This can include features such as smart grids, renewable energy sources, and energy-efficient buildings.

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Achieving Trusted AI in Manufacturing

Cloudera

While AI stands to drive smart intelligent factories, optimize production processes, enable predictive maintenance and pattern analysis, personalization, sentiment analysis, knowledge management, as well as detect abnormalities, and many other use cases, without a robust data management strategy, the road to effective AI is an uphill battle.

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The Future Is Hybrid Data, Embrace It

Cloudera

Only a fraction of data created is actually stored and managed, with analysts estimating it to be between 4 – 6 ZB in 2020. Sure we can help you secure, manage, and analyze PetaBytes of structured and unstructured data. We do that on-prem with almost 1 ZB of data under management – nearly 20% of that global total.

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1. Streamlining Membership Data Engineering at Netflix with Psyberg

Netflix Tech

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. Given our role on this critical path, accuracy is paramount.

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Analysis of Confluent Buying Immerok

Jesse Anderson

. […] Our investment in ksqlDB positions us to succeed in this emerging area as it gains adoption with customers. […] We believe our investment in ksqlDB positions us to capture this shift and use it to fuel further growth.” This comparison seems like a clear point that Flink will be the system of choice.

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