In-Memory Computing Blogs and Events

I recently sat down to talk with Drex DeFord, President of Drexio Digital Health, to discuss where health care currently stands on patient engagement and collaborative care. As DeFord looked back on his 30-year history in health care, he’s seen firsthand the massive growing pains we’ve experienced as we’ve moved from essentially a sick care ...continue reading Finding the Real Key to Success with Collaborative Care
The post Finding the Real Key to Success with Collaborative Care appeared first on IT Peer Network.
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One of the main themes at DockerCon 2017 was the challenge of migrating legacy applications to containers. At MemSQL, we’re early adopters. We are already into our third year of running Docker at scale in production for our distributed software testing regime, where the performance, isolation, and cost benefits of containers are very attractive.

The Challenge

Before I take you through our journey to containers, let me start by outlining some of the general challenges of testing a distributed database like MemSQL. Our solutions are built for real-time data warehousing. Databases are really difficult to test — especially when they are designed to be distributed, real-time, and scalable. At MemSQL, we have millions of unique queries to test, highly variable runtimes, and some tests take hours of 100 percent CPU usage. We have over 10,000 unique tests, not to mention the number of test transformations, which may multiply that number by one hundred again.
Our tests…

When I’m bumper-to-bumper in a sea of exhaust fumes and distracted drivers, it seems like autonomous driving can’t get here fast enough. Nor can the potential rewards that come along with fully autonomous vehicles, like far fewer accidents and mobility … Read more >
The post Building the Best Autonomous Brain appeared first on [email protected].
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The post Building the Best Autonomous Brain appeared first on [email protected].

We talk a lot about how businesses can survive in the digital economy – by embracing bi-modal IT, investing in new technologies, etc. But customer service is still paramount to any good business, and part of that is to simply listen to your customers. Our customers were telling us a few things: that to plan, adopt and innovate, we needed to provide them with longer term maintenance cycles and less frequent releases. They spoke, and we listened.
Today I’m proud to announce important improvements that address both those concerns. We have updated our release strategy in several key ways:

• SAP HANA 1.0 Support Package Stack (SPS) 12 end of maintenance will be extended until May 2021 from May 2019
• SAP HANA will have one on-premises SPS release per year starting with SAP HANA 2.0 SPS 03 in Q2 2018 instead of two per year
• Starting with SPS 02, each SPS release will have a…

This post originally appeared on Kyle Davis’ Medium.

Have you heard? Redis 4.0 is out. That means modules. Not just in the theoretical, shouldn’t-run-in-production sense. It means primetime. Throw’em on your production server and go.
Note: Redis (the database) and Node.js (the JS runtime) both use the term “module” for different concepts — the language herein has to be a bit laboured to be clear and differentiate.
Recently, I wrote about Reds, the Node.js/Redis search engine module. Reds is quite good — I’ve built entire web services around it and they run really quickly. However, Node.js is Javascript, and Javascript, while decently speedy, is still interpreted and is on an entirely different layer from the database (Redis). Modules, however, are built in a compiled language and without a…

Continuous innovation is a key component of the SAP HANA release strategy.  SAP HANA 2.0 SPS 01 was released in April, 2017.  As such, this SPS 02 release is a minor release that focuses delivering continuous innovation through:

• Increased automation and better business continuity with enhancements in workload management, system replication, dynamic tiering, and active/active read-enabled.
• Usability enhancements to improve ease of use, by simplifying data movement modeling, tenant management, encryption, and user group management.
• Enhanced SAP HANA analytics with Google TensorFlow integration for Machine Learning, and added improvements in Text analysis, Graph…

Esport events like Intel Extreme Masters Shanghai create a positive buzz for gaming in China, a nation once resistant to online games. Zhou “iAsonu” Hang hoped to become a professional esport athlete, but his parents had different expectations. They wanted him to earn a degree in robotic automation at Huazhong University of Science and Technology, … Continued
The post Esports on the Rise in China with IEM Shanghai appeared first on iQ by Intel.
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The post Esports on the Rise in China with IEM Shanghai appeared first on [email protected].

Part 1: The Need for Composable Infrastructure
New approaches to infrastructure design are required for businesses to keep up with the amount of data that is generated, and whose timely analysis is of paramount importance for the business to remain competitive in the digital economy. Newer approaches to infrastructure must focus on efficiency to

If you work for -- or are interested in -- the telecommunications industry, then be sure to register for tomorrow’s (July 25) webinar, “Take Telecom to the Next Level with In-Memory Computing.” It starts at 11 a.m. Pacific and 2 p.m. Eastern time.

By the end of the hour, you’ll understand how GridGain’s in-memory computing platform helps telcos provide faster service at greater scale.

In my last blog, I shared how the release of Cloud Foundry-based services offers SAP partners pivotal features such as portability, enterprise grade capabilities, and openness. For this post, let’s focus on how a vibrant and diverse partner ecosystem is critical to the success of SAP Cloud Platform.
To understand the importance of the ecosystem, we need to start by exploring the industry trend towards bi-modal IT and why it is preferable to a traditional monolithic stack approach. Secondly, we need to articulate the business benefits it will bring our customers if successfully adopted. Finally, we need to hypothesise what success might look like and why the ecosystem is a critical success factor.
So, what is bi-modal IT and why is it…

Companies and business leaders are increasingly realizing the advantages and opportunities provided by implementing real-time decision making and action on streams of data. Joe McKendrick, writing for the DBTA thought leadership series, sees the trend as well — and has the evidence to prove it. He notes that a Unisphere/Information Today, Inc. survey “found that … 57%” of data executives and professionals “are seeing a strong demand for real-time information”. The speed of real-time can enable innovative and competitive applications, such as real-time fraud detection, IoT, and even, “healthcare [where] the ability to monitor … data in real time can be a life-or-death matter.” Even for less dramatic uses, such as insight generation, real-time offers a lot. McKendrick observes that the survey “found…

On a mission to reimagine the construction industry from end-to end, KATERRA strives to optimize efficiency in building development, design, and construction—all without sacrificing quality or sustainability. 

An SAP customer early on, in-memory capabilities are the centrepiece of KATERRA’s technology platform, allowing the vertically integrated company to design, supply and assemble construction projects at scale, with utmost efficiency. Seeking a solution to integrate all of their complex business processes, the startup chose to implement …

Despite widespread interest in machine learning (ML), using it effectively in a real-time environment is a complex problem that hasn’t been given enough attention by framework developers. Nearly every language has a framework to implement the “learning” part of machine learning, but very few frameworks support the “predict” side of machine learning.
Once you’ve trained an ML model, how can you build a real-time application based on that model? With many toolkits, you have to build your own application. We are just starting to see frameworks focused on the prediction side of machine learning.
An earlier post provided an overview of the features available in the Redis-ML module, so in this post, we’re going to dive deeper into machine learning – explain some of the techniques in an accessible way and show how you can augment a machine learning pipeline with Redis. As an example, we will walk through the code for…

Customer-centric solutions demand empathy. But, how we employ this principle within design thinking is as critical—if not more—as what we do in the process. Certain slices can be easily repeated—that’s the science part. However, not everything fits neatly into a template. More than anything else, we rely on our creativity to accurately frame a problem ...continue reading The Art And Science Of Customer Empathy In Design Thinking
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Digital innovation and investment are growing by leaps and bounds – and so is the data created and consumed by them. While experts acknowledge that analysis of structured and unstructured information, Internet of Things, and all forms of artificial intelligence is taking advantage of the availability of extensive data sets, it’s becoming evident that these capabilities are also adding even more information to already overwhelmed business systems.
Many companies believe that replacing traditional data warehousing tools with in-memory databases, Big Data architectures, and cloud service providers will calm the…