Microsoft, Adobe and SAP announced the ODI a year ago, but things seemingly have gone quiet lately. What gives?
We respond to George Anadiotis’ recent take on Percona’s open source data management survey. Most respondents are still actively experimenting with new databases and are not necessarily standardizing any single platform. That same trend applies to the cloud as well. Actually, that doesn’t make them much different from the rest of their IT colleagues.
Key business areas where the outcomes of blockchain efforts can be measured.
Siren promises the benefits of knowledge graphs, without the hassle of reinventing your existing data management and infrastructure
With the launch of its national artificial intelligence (AI) strategy, alongside a slew of initiatives, the Singapore government aims to fuel AI adoption to generate economic value and provide a global platform on which to develop and testbed AI applications.
OpenText is aiming to grow organically and via acquisition as a "cloud consolidator" as it preps a broad cloud platform.
Among the hundreds of announcements coming out of last week’s Microsoft Ignite cnference, the theme that stood out was how Microsoft is extending the cloud and data footprint. But with such a rich portfolio of product offerings that often overlap, Microsoft’s challenge is getting the message clear on what’s the right fit for customers.
Salesforce CMS aims to meld content, data, personalization and an enterprise need to collapse multiple content systems lying around.
The iPhone-maker has given its privacy page a make-over, in a continuing effort to prove it's better than its rivals.
Neo4j just launched its cloud offering, which it says will make graph mainstream. We discuss the offering with CEO Emil Eifrem, and take a look at where the graph market is right now.
The graph database company's new Neo4j Aura managed service is for smaller enterprises on tighter budgets.
Ignite 2019: Microsoft says its latest collaboration with Warner Bros could help store data for generations to come.
When driving a vehicle, milliseconds matter. Autonomous vehicles are no different, even though it may be your AI that drives them. AI = data + compute, and you want your compute to be as close to your data as possible. Enter edge computing.
Ignite 2019: Microsoft is adding a new, Microsoft-Graph-powered knowledge-management service to Office 365. Here's what 'Project Cortex' is and how it will work.
Power BI adds new data protection features, that extend all the way to documents containing Power BI exports. Combined with new data lineage and recently-added dataset endorsement features, this feature puts Power BI onto the data governance on-ramp.
Not every business problem can be solved by using chatbots. Here are some inappropriate uses for the AI tool.
Traditionally, operational databases and platforms for data analysis have been two different worlds. This has come to be seen as natural, as after all the requirements for use cases that need immediate results and transactional integrity are very different from those that need complex analysis and long-running processing.
Remember how we noted data is going the way of the cloud? While there are no signs of this slowing down, there's another interesting trend unraveling, the so-called Insight Platforms as a Service (IPaaS). The thinking behind this is simple: if your data is in the cloud anyway, why not use a platform that's also in the cloud to run analytics on them, and automate as much of the process as possible?
The endless streams of data generated by applications lends its name to this paradigm, but also brings some hard to deal with requirements to the table: How do you deal with querying semantics and implementation when your data is not finite, what kind of processing can you do on such data, and how do you combine it with data from other sources or feed it to your machine learning pipelines, and do this at production scale?
The pace of change is catalyzed and accelerated at large by data itself, in a self-fulfilling prophecy of sorts: data-driven product -> more data -> better insights -> more profit -> more investment -> better product -> more data. So while some are still struggling to deal with basic issues related to data collection and storage, governance, security, organizational culture, and skillset, others are more concerned with the higher end of the big data hierarchy of needs.
As descriptive and diagnostic analytics are getting commoditized, we are moving up the stack towards predictive and prescriptive analytics. Predictive analytics is about being able to forecast what's coming next based on what's happened so far, while prescriptive analytics is about taking the right course of action to make a desirable outcome happen.
FC Barcelona is focusing on data analysis to give it an edge on the soccer field and at the bank.
Not all graphs are created similar. Here are the main differences between RDF and LPG, as presented by Jesus Barrasa, Director Telecoms Practice, Neo4j: http://bit.ly/howSemanticIsYourGraph
Facebook CEO Mark Zuckerberg has shared a series of pictures from the social network's datacenter site up near the Arctic Circle in Sweden.
Estimates peg more than one million people will visit Super Bowl City alone in the two weeks leading up to Super Bowl Sunday. No word yet on how many Instagrams of burritos and palm trees that could produce.
Ashley Madison users have many priorities. Apparently, an airtight password is not one of them.
Letter rip: Lessons any high-tech office warrior can learn from the teenage word masters of the National Spelling Bee
The annual Outside Lands music and food extravaganza marks the first occasion where AT&T is deploying all three of the biggest wireless tools in its arsenal at a single festival.
As well as acting as the hub for a grid of scientific institutions around the world, CERN's datacenter has to cope with vast amounts of raw data from its particle physics experiments.
There's no better way to put Chef Watson to the test than actually putting on an apron, heading down to the kitchen and taste whatever big data actually has to offer.
Microsoft says its latest collaboration with Warner Bros could help store data for generations to come.
Here's how to remove yourself from the Internet and hide your identity. Read more: https://zd.net/2Vq4DWE
Microsoft is staffing up a new Data Dignity team in its CTO's office which could help users to control their own personal data, ultimately to the point of buying and selling it.
eHealth NSW said it's part of a 10-year plan to deliver a citizen-centric healthcare system.
A couple of years back, even researchers would wave off using DNA to store data as something too futuristic. Today, you can run PostgreSQL on DNA. Read more: https://zd.net/2KyplhF
Yes, Facebook is a data-driven monopoly. But the only real way to break it up is by getting hold of its data and functionality, one piece at a time. Read more: https://zd.net/2Hw5EqA
ZDNet's Larry Dignan caught up with Dan Wulin, head of data science and machine learning at Wayfair to talk about how the company is using natural language processing for unstructured data and tracking returns on machine learning investment.
Mia Gaudet, ACS strategic director for breast and gynecologic cancer research, explains how machine learning techniques are advancing a research study launched in 1992 and what it took to prepare the data for analysis.
For standard invoices and reports requiring efficient delivery, PDF-eXPLODE could well be a lifesaver. It can be a bit touchy on occasion, but once your document templates are set up properly it should be plain sailing.
InterSystems launches CACHÃƒÆ’Ã¢â‚¬Â° 2007, the latest update to their post-relational database product.
IBM's DB2 database adds several powerful new tools in version 9 including native XML support and DB2 Developer Workbench, and offers serious competition to Oracle and Microsoft.