Confluent Unveils New Capabilities to Apache Flink Offering to Simplify AI and Bring Stream Processing to Workloads Everywhere

Confluent Unveils New Capabilities to Apache Flink Offering to Simplify AI and Bring Stream Processing to Workloads Everywhere

Confluent, Inc. (NASDAQ:CFLT), the data streaming pioneer, announced AI Model Inference, an upcoming feature on Confluent Cloud for Apache Flink®, to enable teams to easily incorporate machine learning into data pipelines. Confluent introduced Confluent Platform for Apache Flink®, a Flink distribution that enables stream processing in on-premises or hybrid environments with support from the company’s Flink experts. Confluent also unveiled Freight clusters, a new cluster type for Confluent Cloud that provides a cost-effective way to handle large-volume use cases that aren’t time-sensitive, such as logging or telemetry data.

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TechEdge AI Interview with Arnd Baranowski, CEO, Oculeus

With a successful track record of 30 years in technical and software development, please share your journey and lessons learned along the way? Our journey at Oculeus has certainly been an exciting one. We started out as a consulting firm serving telecoms operators in our local market. With time, we developed a strategic portfolio of…

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Audience Intelligence Company Tunnl Announces Reach & Frequency, Linear TV Measurement Solution

Tunnl Introduces Reach & Frequency: Transforming Audience-Based Linear TV Advertising

Tunnl, a leader in AI-powered audience intelligence, unveils Reach & Frequency, an innovative solution reshaping audience-based linear TV exposure measurement and optimization. Sara Fagen, Tunnl’s Co-founder & CEO, highlights the challenge of reaching saturation amidst media fragmentation and unbalanced ad exposure.

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Headphones 3.0: A first look

Headphones 3.0: A first look

In the rapidly evolving world of consumer electronics, the ability to anticipate and adapt to changing consumer demands is a significant and ongoing challenge for manufacturers. It’s often a catalyst for innovation, highlighting the need for agility and flexibility when it comes to new product offerings.
Real-time speech-to text transcription is on the rise, having a profound impact on various industries. However, it does come with its own set of challenges, especially when we talk about accuracy. Let us deep dive and explore the future potential and implications of real-time transcription.

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