Category: Machine Learning

Using Data to Monetize 5G for Industry 4.0

5G whitepaper banner

There’s a lot of buzz around how 5G will impact industry 4.0, but there’s not a whole lot out there about why it’s important to consider upgrading to 5G to benefit your company’s bottom line. Seeing this gap, we worked with experts at FierceWireless to help shape a new whitepaper, “Using Data to Monetize 5G […]

Q&A Session: Getting Specific About Details of 5G Monetization

5g Monetization Cloud Computing BSS Q&A-session
Recently, experts from VoltDB presented a webinar, 3 Keys to Unlock 5G Monetization: Real-time Data, Automated Decisions, BSS Modernization. The webinar focused on the ways that moving to 5G monetizes for the company making that technology investment. Attendees asked a couple of excellent questions during the presentation and we’ve highlighted those questions and their answers [...]

7 FAQs for the Experts: “Effectively Target Micro-Moments with Real-Time Decisioning and Machine Learning”

Realtime Analytics Blog
Comviva, a global leader in the digital transformation space, has long been known for their innovative solutions and services. Within their MobiLytix Customer Value Management (CVM) suite of solutions, Comviva uses advanced Machine Learning for real-time decisioning, which allows users of the MobiLytix platform to target and provide the right experience to customers at their [...]

Introducing VoltML – The path to operationalizing machine learning just got much faster

Machine Learning Blog Header
Traditionally advanced analytics was utilized primarily to gain an historical understanding of business performance. Data scientists spent countless hours mining, munging, and model building; wasting expensive resources and valuable time only to get a rear view understanding of business performance. Starting Now: Use Models to Automate Real-time Decision-making Until recently it was just not possible [...]

Using VoltDB to Get h20 into Production

In my previous article I discussed the broad problems you face when you try to commercialize machine learning. In this one I’ll go through the specific steps you’ll need to get everything to work. There are two ways to integrate h20 generated classes. The first, and most obvious is to reference it from inside a [...]

Getting Machine Learning Into Production With VoltDB

Machine Learning and VoltDB
Congratulations! You’ve mastered machine learning and can now generate a model that will help your enterprise succeed. There’s just one problem. Or rather several, actually. Below we discuss the challenges you face getting an ML model into production and how VoltDB can help. For the purposes of this article let’s assume that your model’s job [...]

Extracting Value from Insights in “The Last Mile”

transactional insights in the last mile with VoltDB
Recently, I read the McKinsey article “Breaking away: The secrets to scaling analytics.” The article discussed their findings on the importance of analytics to a company’s success. Unsurprisingly, they found that the most successful companies spend more money and effort on analytics, specifically embedded analytics. Two thirds of what they deemed “breakaway companies” spent at [...]

What Is Thought-Provoking to Our Readers?

VoltDB Thought Leadership
Database Blog Trends, First Half 2018 Looking back over the first half of the year, we notice three trends in reader interest with our blog posts. They are: Defining the real-time database market How to compare database technologies, and How cloud database migration. In this post, we’ll give an overview of the posts most read [...]

6 Reasons Why Your Machine Learning Project Will Fail to Get Into Production

Reasons Machine Learning Projects Fail

There is a massive difference between generating the input data needed by a Machine Learning model once (to prove a concept), and doing it continuously, indefinitely, at scale, and within short time periods. Years of experience working with disparate and imperfect data sets lead me to suspect that people trying to move desktop scale ML […]

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