Discover how companies are responsibly integrating AI in production. This invite-only event in SF will explore the intersection of technology and business. Find out how you can attend here.
Data streaming company Confluent just hosted the first Kafka Summit in Asia in Bengaluru, India. The event saw a massive turnout from the Kafka community — over 30% of the global community comes from the region — and featured several customer and partner sessions.
In the keynote, Jay Kreps, the CEO and co-founder of the company, shared his vision of building universal data products with Confluent to power both the operational and analytical sides of data. To this end, he and his teammates showed off several innovations coming to the Confluent ecosystem, including a new capability that makes it easier to run real-time AI workloads.
The offering, Kreps said, will save developers from the complexity of handling a variety of tools and languages when trying to train and infer AI models with real-time data. In a conversation with VentureBeat, Shaun Clowes, the CPO at the company, further delved into these offerings and the company’s approach to the age of modern AI.
Shaun Clowes, CPO at Confluent, speaking at Kafka Summit in Bangalore
Confluent’s Kafka story
Over a decade ago, organizations heavily relied on batch data for analytical workloads. The approach worked, but it meant understanding and driving value only from information up to a certain point – not the freshest piece of information.
VB Event
The AI Impact Tour – San Francisco
Join us as we navigate the complexities of resp …
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Discover how companies are responsibly integrating AI in production. This invite-only event in SF will explore the intersection of technology and business. Find out how you can attend here.
Data streaming company Confluent just hosted the first Kafka Summit in Asia in Bengaluru, India. The event saw a massive turnout from the Kafka community — over 30% of the global community comes from the region — and featured several customer and partner sessions.
In the keynote, Jay Kreps, the CEO and co-founder of the company, shared his vision of building universal data products with Confluent to power both the operational and analytical sides of data. To this end, he and his teammates showed off several innovations coming to the Confluent ecosystem, including a new capability that makes it easier to run real-time AI workloads.
The offering, Kreps said, will save developers from the complexity of handling a variety of tools and languages when trying to train and infer AI models with real-time data. In a conversation with VentureBeat, Shaun Clowes, the CPO at the company, further delved into these offerings and the company’s approach to the age of modern AI.
Shaun Clowes, CPO at Confluent, speaking at Kafka Summit in Bangalore
Confluent’s Kafka story
Over a decade ago, organizations heavily relied on batch data for analytical workloads. The approach worked, but it meant understanding and driving value only from information up to a certain point – not the freshest piece of information.
VB Event
The AI Impact Tour – San Francisco
Join us as we navigate the complexities of resp …nnDiscussion:nn” ai_name=”RocketNews AI: ” start_sentence=”Can I tell you more about this article?” text_input_placeholder=”Type ‘Yes'”]