News room

How IoT Will Drive the Fourth Industrial Revolution

Paul Appleby, CEO of Kinetica, said some of the top IoT trends are grids or networks as ecosystems, not monostacks, as well as smart wearables and using smart home devices to monitor energy usage and improve the environment.
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Kinetica Launches Industry-First Active Analytics Platform

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Job Role: Data Engineer

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TDGlobal expands international footprint, brings new data and digital technologies to Africa

TDGlobal has partnered with Kinetica to bring advanced data processing and analytics technologies to the market. This is the first time these solutions are available in South Africa.
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GPU Powered: 8 Startups You Won’t Want to Miss at GTC

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Women in Product Management: Irina Farooq, Chief Product Officer at Kinetica

An interview with Irina Farooq, Chief Product Officer at Kinetica
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Data Driven and AI Powered Marketing in 2019 and Beyond

In this article, Daniel Raskin, CMO of Kinetica, the insight engine for the Extreme Data Economy, discusses his predictions for how the world of marketing in 2019 will be shifting towards being data-driven, due to new advances in technologies such as real-time customer analytics, location-based intelligence and artificial intelligence (AI).
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Kinetica #6 on the insideBIGDATA IMPACT 50 List for Q1 2019

Kinetica moves up one spot to #6 on the top 50 list.
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Kinetica 2019 Predictions: Informing The Enterprise Through Data

Here is what executives at Kinetica see coming in the enterprise data space for 2019.
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Predictions for the State of Enterprise Applications in 2019

Demand for smart analytical applications will redefine enterprise data practices.
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“Above the Trend Line” – Your Industry Rumor Central for 12/31/2018

Data engineers will find themselves in high demand – they specialize in translating the work of data scientists into hardened, data-driven software solutions for the business.
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Data Science: What to Expect in 2019

In 2019, the world of AI and analytics will need to converge in order to drive more meaningful business decisions.
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Under the Tree for 2019: AI Edition

In 2019, AI will be an essential part of the marketing strategy.
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Leveraging the Cloud to Better Mine Data in the Extreme Data Economy

Enterprises which integrate advanced analytics and machine learning and the cloud into their data analytics and insights programs are reaping the most from their data.
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120 AI Predictions For 2019

"2019 is the year of the data engineer. Data engineers will find themselves in high demand—they specialize in translating the work of data scientists into hardened, data-driven software solutions for the business."
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AI/ML 2019 Predictions

The rise of the data engineer brings AI to the forefront of the enterprise.
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10 Features to Look for in Visualization Tools for Big Data

As data sets have grown, rendering large amounts of data with traditional architectures has become harder, said Nima Negahban, CTO and co-founder at Kinetica. GPUs used with direct memory access can help crunch large volumes of data faster and more efficiently. This makes it easier to build high-definition visualizations on the server side that simply get served by the application via a web application.
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Independent Research Finds Traditional Analytical Platforms Struggle to Quickly Deliver Data Insight

Forrester studied 105 data analytics decision-makers across the US, and the challenges they face with increasingly complex and massive data sets, and solutions they are...
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