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The Pain of Watching AI Become A Pawn in the Geopolitical Fray

The Pain of Watching AI Become A Pawn in the Geopolitical Fray

Artificial intelligence (AI) has been a predominantly transnational phenomenon for most of this decade.

Radical cross-border openness has been a central driver of the AI revolution. Read more…

Big Data Career Notes

Big Data Career Notes

In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the big data community. Read more…

MongoDB Cloud Cases: Three Studies

MongoDB Cloud Cases: Three Studies

During the recently MongoDB World conference, Datanami was invited to talk shop with three customers – Braze, Ticketek, and Longbow Advantage – that have implemented the NoSQL database in production cloud environments. Read more…

How the Machine Learning Catalogs Stack Up

How the Machine Learning Catalogs Stack Up

You can’t do anything with data – let alone use it for machine learning – if you don’t know where it is. Read more…

July 17, 2018

July 16, 2018

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July 12, 2018

July 11, 2018

July 10, 2018

Center Stage

Revving up HPC Workloads with FPGAs

Sponsored Content by Dell EMC

In enterprise data centers, big data just keeps getting even bigger — and that’s a good problem to have. There is a tremendous amount of potential business value in the flood of data flowing from the Internet of Things, social media, customer information systems and other pipelines filled with incoming bits and bytes. The trick is to capture value from all of that data — and that takes ever-faster computing systems.

Read more...

Datanami Headlines

Transforming ‘Data Swamps’ into Data Lakes

Data lakes and the growing number of analytics tools emerging to access their contents are expanding the universe of business users able to reap insights via what a new survey calls “point-and-click” accessibility.

The vendor survey of more than 500 business users released on Tuesday (July 17) by visual analytics specialist Arcadia Data found that 72 percent use data lakes to gather business intelligence. Read more…

Anaconda Enterprise Now Supports GPU Clusters

Organizations that need to train machine learning models on massive amounts of data may be interested in the latest release of Anaconda Enterprise, which adds support for training on GPU clusters.

Customers running Anaconda Enterprise 5.2 will be able to take their Python- or R-based machine learning models directly from the laptop and deploy them on big GPU clusters without making changes to the code or fiddling about with command lines, says Mathew Lodge, SVP of products and marketing for Anaconda. Read more…

Agile Integration Comes to Microservices

As enterprises shift from the “waterfall” software development model to agile microservices architectures, integrators are offering new frameworks for easing the transition. Among them is WSO2, the open source integration vendor that this week released the latest version of its platform designed to hasten the implementation of microservices used to roll out distributed applications. Read more…

Ecosystem Play to Generate $100T by 2028, Accenture Says

Digital disruption can be a scary thing. You either innovate by building a digital platform that leverages big data and emerging tech like AI, blockchain, and the Internet of Things, or you get disrupted by somebody who can. Read more…

Tamr Preps for Growth with $18M Round

Tamr today announced that it has raised $18 million in venture capital to help it grow its business, which is focused taking a “machine-driven, human-guided” approach to taming messy data.

The funding round, which was Tamr‘s fourth, brings the five-year-old Cambridge, Massachusetts company’s total funding to $59.4 million, according to Crunchbase. Read more…

Thwart Breaches by Taking an Operational Approach to Cybersecurity Data

Cybersecurity threats are a constant concern for every modern business. Countless examples of breaches make headlines regularly, and they seem to be increasing in number. The 2018 Thales Data Threat Report found that over one-third of global organizations were breached in 2017, a 10% increase than 2016. Read more…

Why Innovation Chains Require a Tech-First Approach

During the heyday of the big data hype bubble, companies would invite criticism by spending large sums on emerging tech, such as Hadoop clusters, graph databases, and streaming analytics, before they had devised solid business plans around them. Read more…

Drone Data Ecosystem Growing Fast, Report Says

The ecosystem that’s emerged around the collection and analysis of data from drones is growing very quickly, according to a new report issued by DroneDeploy, one of the companies operating in the space.

According to DroneDeploy‘s “2018 Commercial Drone Industry Trends” Read more…

Neustar Finds the ‘Last Mile’ for Hadoop Analytics

Like many companies in the marketing analytics business, Neustar uses Hadoop to store and process large amounts of highly granular data on behalf of its clients. In fact, the company has used Hadoop for over a decade, a success story in its own right. Read more…

California’s New Data Privacy Law Takes Effect in 2020

California Governor Jerry Brown last week signed one of the toughest data privacy laws in the nation. The new law, California Consumer Privacy Act of 2018, has been compared to the European Union’s General Data Protection Regulation (GDPR), and goes into effect in 2020. Read more…

AI, You’ve Got Some Explaining To Do

Artificial intelligence has the potential to dramatically re-arrange our relationship with technology, hearkening a new era of human productivity, leisure, and wealth. But none of that good stuff is likely to happen unless AI practitioners can deliver on one simple request: Read more…

Baidu, Intel partner on AI workloads

Intel Corp. is teaming with Chinese e-commerce giant Baidu on a batch of AI projects spanning FPGA-backed workload acceleration, a deep learning framework based on Xeon scalable processors and implementation of a vision processing unit for retail applications. Read more…

Will Privacy Kill Innovation?

It’s a tug of war. On one side: fast-moving technologies, new business practices, new digital behaviors, the democratization of analytics and the massive adoption of artificial intelligence (AI) and machine learning technologies. On the other side: Read more…

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