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Tag: machine learning

Deep Learning Is Our Best Hope for Cybersecurity, Deep Instinct Says

Thanks to the exponential growth of malware, traditional heuristics-based detection regimes have been overwhelmed, leaving computers at risk. Machine learning approaches can help, but the bottleneck presented by the feat Read more…

Drones Put the AI into Aerial Intelligence

Advances in machine learning, data management, and cloud computing are having a significant impact on the market for drone-based mapping and intelligence gathering. Even as satellite-based imaging gains steam, drones app Read more…

Neo4j Sees Graph Data Science Taking Off Following $325 Million Round

Operational use cases such as fraud prediction and recommendation engines have dominated in Neo4j’s existence up to this point. But following today’s announcement of a $325-million funding round that values the graph Read more…

Companies Going ‘All In’ on AI, Appen Study Says

AI budgets are up significantly over the past year as companies compete to survive and grow market share during the global pandemic, according to Appen, which published its State of AI and Machine Learning report this we Read more…

Open Data Hub: A Meta Project for AI/ML Work

Open source software is a critical resource in data science today, but integrating the various open source products together can be a complex task. This is what drove Red Hat to develop Open Data Hub, which brings over t Read more…

In Search of Data Science Talent with Dr. Kirk Borne

We have gobs of data, nearly limitless cloud compute, and ever-improving machine learning algorithms, so what on earth is holding companies back from succeeding with big data? “Talent, talent, talent,” says Dr. Kirk Read more…

Confluent S-1 Reveals ‘Reimagining of Business’ Theme

Kafka-backer Confluent yesterday published its S-1 with the SEC, which it previously kept confidential when it originally filed to go public back in April. The 198-page document reveals some details about Confluent, as w Read more…

Databricks Unveil New Machine Learning Solution

Databricks today unveiled a new cloud-based machine learning offering that’s designed to give engineer everything they need to build, train, deploy, and manage ML models. The new offering is designed to bridge the g Read more…

Databricks Unveils Data Sharing, ETL, and Governance Solutions

Databricks’ primary objective is to build the world’s first enterprise AI platform, which is a noble goal and a work in process. But first things being first, the data is a mess, and it needs some work. To that end, Read more…

Bridging the Gaps in Edge Computing

Aside from the lure of the public clouds, which got bigger and stronger in 2020 amid the COVID-19 scourge, the world of data and analytics became a lot more distributed last year. While it seems clear that most AI models Read more…

Alteryx Dips Analytics Tools Into Machine Learning Waters

Alteryx arguably is best known for its desktop-based, self-service analytics product, Designer, which is also regarded for its data blending and prep capabilities. Today at its Virtual Global Inspire conference, the comp Read more…

Google Cloud Overhauls AI with Vertex Launch

Google Cloud today unveiled Vertex AI, a fundamental redesign of its automated machine learning stack. In addition to integrating the individual components of the stack more closely together, Vertex AI also introduces ne Read more…

DataRobot Refreshes AI Platform, Nabs Zepl

DataRobot unveiled several enhancements in its automated machine learning platform today, including the introduction of features like composable ML and continuous AI. The company, which is holding a virtual conference to Read more…

Altair Launches Unified Environment for HPC, Analytics, CAE, and AI

Altair today launched Altair One, a new cloud offering that gives customers access to its entire product suite--including AI, data analytics, high performance computing (HPC) resources, and computer aided engineering (CA Read more…

Lightmatter Raises $80M for Photonic AI Chips

Lightmatter got a big boost in its effort to develop photonic AI chips instead today when it announced a Series B round of $80 million. The money will help the company bring its first round of products to market, Lightma Read more…

Aerospike Turbocharges Spark ML Training with Pushdown Processing

Companies that need to access a lot of data in a hurry, such as retraining a machine learning model in Spark, have traditionally had to move that data from the edge to a central repository, such as a cloud data lake. But Read more…

Oracle Analytics Cloud: Everything But the Kitchen Sink

Oracle is taking a “more is more” approach with the latest release of Oracle Analytics Cloud, its do-everything analytics and ML platform. Need explainable machine learning? How about graph analytics? Automated data Read more…

In Search of Data Observability

The concept of “observability” is well understood as it pertains to DevOps and site reliability engineering (SRE). But what does it mean in the context of data? According to Barr Moses, the CEO of data observability Read more…

Toloka Expands Data Labeling Service

Data labeler Toloka is heading to India to tap into the subcontinent’s vast pool of English-speaking workers. The firm, which was founded in Russia and is incorporated in Switzerland, says the expansion will grow its n Read more…

GridGain Claims Huge Performance Boost with Intel Optane PMem

Companies running the in-memory computing platform from GridGrain Systems will see their machine learning, HPC, and analytics applications’ performance increase by 10x to 100x as a result of the use of Intel Optane per Read more…

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