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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 today and tomorrow, also bought Zepl, the data science notebook startup founded by the backers of Apache Zepplin. 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 (CAE) design software–from a single platform. Read more…

Drowning In a Data Lake? Gartner Analyst Offers a Life Preserver

Gartner this week convened its annual Data and Analytics Summit Americas conference, which was held online again due to the coronavirus pandemic. From the role of AI in data management to avoiding data lake failures, Gartner analysts shared a host of useful knowledge. Read more…

A Decade of Datanami: 2011-2021

2013 – The Flourishing Open Source Ecosystem

By 2013, big data wildfire was sweeping the computing world, and open source software was the fuel helping it to grow. Apache Hadoop, based upon Google technology that Doug Cutting and Mike Cafarella re-created in Java and implemented at Yahoo, was among the first and the most influential of the open source big data projects. Read more…

Matillion Solution Channel

Matillion ETL Weekly Live Demo

COVID has created a stampede to the cloud. Recent IDC research revealed that 68% of respondents are accelerating their cloud migrations as a result of pandemic influences.1

Organizations around the world are racing to update their operations, modernize their experiences, and inject desperately needed intelligence to compete in a digital-native world. Read more…

Cloud Analytics Firm StarTree Receives $24 Million in Series A Funding

Even coming off the momentum of 2019, 2020 turned into a stunning turning point for the cloud takeover of AI and analytics (our own editor Alex Woodie described it as “the great cloud migration [starting] to look like a stampede”). 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, Lightmatter’s CEO said. Read more…

50 Years Of ETL: Can SQL For ETL Be Replaced?

It’s hard to imagine data warehousing without ETL (extract, transformation, and load).  For decades, analysts and engineers have embraced no-code ETL solutions for increased maintainability. Does this mean that Structured Query Language (SQL) for ETL workflows is not used anymore? Read more…

Performance, Complexity Dog K8S Growth

A new survey from Pepperdata shows that Kubernetes is doing what it was predicted to do: Becoming the de-facto standard for big data runtimes, such as Spark, Kafka, and Presto. However, customers are still having issues with complexity and management of K8S environments, the survey found. 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. Read more…

AI Bias Problem Needs More Academic Rigor, Less Hype

Let’s face it: We’re infatuated with AI. From smart chatbots to image recognition to self-driving cars, we’re absolutely enamored with the superpower-like abilities it gives us. But unless we incorporate stronger processes to identify and remediate biased data and biased algorithms, experts say, we run the risk of automating bad decisions at a truly ghoulish scale. 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 prep? NLP? Oracle has it all–plus a new mobile app–in the new release. Read more…

Spark NLP Crosses Five Million Downloads, John Snow Labs Announces

Enterprise AI applications are booming, and the pandemic seems to have only accelerated their growth. Today, John Snow Labs – which primarily develops AI and NLP tools for healthcare applications – is announcing that its flagship NLP library, Spark NLP, has crossed five million downloads, having doubled its growth over the last four months. Read more…

Cohesity Plots Data Biz Expansion from a Backup Base

Cohesity, ostensibly, is a backup and recovery company. That was the first flag planted by its CEO, Mohit Aron. But that’s just a starting point, as the company, which was recently valued at $3.7 billion, has its sights set on expanding its offerings into the wide open expanses of hybrid data management. Read more…

U.S. Army Employs Machine Learning for Deepfake Detection

Chances are, you’ve heard about deepfakes: convincing and easy-to-manufacture facial imposition and manipulation tools that allow even moderately tech-savvy individuals to, for instance, falsify realistic video clips of politicians saying things they’ve never said. Read more…

Combating Workplace Video Fatigue with AI

The COVID-19 pandemic has accelerated the transition of enterprise video conferencing from a “nice-to-have” to a necessity. According to a Zoom blog post, their platform skyrocketed to 300 million daily meeting users in April 2020, up from 10 million in December 2019. Read more…

Spring Conference Season in Full (Virtual) Swing

May is traditionally a big month for tech conferences, and 2021 will be no different. The big change, of course, is that companies will be holding their tech conferences virtually.

That’s good news for folks who want to go broad and experience many different conferences, since most of them are free of charge. 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 startup Monte Carlo, it’s all about being able to trust the data. Read more…

Future Proofing Data Pipelines

Data pipelines are critical structures for moving data from its source to a destination. For decades, companies have used data pipelines to move information, such as from transactional with analytic systems. However, as the needs of companies change over time, they might find their data pipeline requirements also change. Read more…

Hyper-Personalization and AI Critical for Growth in Financial Services, Study Says

More than four out of five of senior executives in financial services companies say AI will be the key competitive driver for success over the next few years. In particular, financial institution are looking to AI technology and differentiated data to drive “hyper personalization” of services, the NTT Data survey said. Read more…

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