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Building Extraordinary Customer Experiences Across The Digital And Physical Data Omniverse

We have moved beyond the big data era into the Extreme Data Economy. In this new world, businesses need to translate massive volumes of complex data at unparalleled speed into omnichannel insight, with streaming data analysis, visual foresight and streamlined machine learning.
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Interview with Paul Appleby, CEO at Kinetica

I am passionate about aligning technology to solving the business problems that matter. To me, this is about turning real-time analytics from a science experiment into technology businesses can immediately put to use and understand.
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Kinetica Accelerates Australia Expansion with New Partnerships

Kinetica, provider of the instant insight engine for the Extreme Data Economy, today announced its formal launch into the Australian market. Powered by IBM Power Systems and NVIDIA,...
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insideBIGDATA Special Report: Reinventing the Retail Industry through Machine and Deep Learning (Part 3)

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Kinetica Accelerates Australia Expansion with New Partnerships

Kinetica, provider of the instant insight engine for the Extreme Data Economy, today announced its formal launch into the Australian market.
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Thriving In The Extreme Data Economy

The data-powered business operates at hyper scale, with hyper complexity and at hyper speed.
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The Future of Big Data: Next-Generation Database Management Systems

As data from the Internet of Things (IoT) increased, businesses started dealing with the challenge of analyzing streaming data in real time. At present, GPUs offer the most cost-effective solution for large amounts of data being streamed in real time
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Game Changed: New Possibilities with Artificial Intelligence

AI now pervades the world of big business, and is kickstarting new business models, and whole new ways of getting jobs done. How can your organization benefit?
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Why GPU-Optimized Databases Are Such a Game Changer for Machine Learning and AI

With a GPU-accelerated database, you can use both simple and complex machine learning and deep learning algorithms on one platform.
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5 artificial intelligence trends that will dominate 2018

Enterprises have spent the past few years educating themselves on various AI frameworks and tools
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5 artificial intelligence trends that will dominate 2018

Negahban predicts 2018 will see an increase in investments in AI life cycle management, and technologies that house the data and supervise the process will mature.
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Kinetica and UClick Partner to Solve Data Challenges of South Korean Enterprises

Kinetica, provider of the world’s fastest next-generation analytics database, today announced its official entry into the South Korean market through a partnership with UClick, a...
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Kinetica Predicts Ai, Iot Use Cases Will Drive Demand For Next-Gen Databases

As AI goes mainstream, it will move beyond small-scale experiments to being automated and operationalized.
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Kinetica Predicts AI and IoT Use Cases will Drive Demand for Next-Gen Databases in 2018

Kinetica’s CTO and Cofounder Nima Negahban has come out with his top technology predictions for 2018.  Today’s analytical workloads require faster query performance, advanced analysis...
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ProgrammableWeb’s best cognitive, analytics, development APIs of 2017

ProgrammableWeb, the site that tracks all things API, has published its list of the most compelling APIs released in 2017.
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Kinetica CTO releases top predictions

It is the beginning of the end of traditional data warehouses
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What Will AI Bring in 2018? Experts Sound Off

Just as organizations struggled to move big data projects out of the experimentation phase and into production, they’re finding it difficult to get AI running.
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Moving from AI Science Experiment to Operationalized Pipeline

To integrate data-driven AI into operationalized pipelines, organizations will need a single platform capable of streamlining, automating and managing the entire Machine Learning and Deep Learning lifecycles.
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