Tag: machine learning
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7 min read
Top 5 Real-Time Data Processing Trends of 2023
Read more: Top 5 Real-Time Data Processing Trends of 20232023 was a huge year for real-time data processing. Enterprises are more focused than ever using real-time data to guide the path forward, and things like AI are changing the game. As technology continues to evolve, real-time data processing has transformed from something closer…
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7 min read
Everything You Need to Know About AI Democratization
Read more: Everything You Need to Know About AI DemocratizationOver the last year or so, artificial intelligence (AI) has evolved from something most people consider science fiction to an increasingly accessible technology anyone can use. Thanks to the rise of tools like ChatGPT and DALL-E, AI has rapidly emerged as a transformative…
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7 min read
How Machine Learning Can (and Should) Support Real-Time Data Processing
Read more: How Machine Learning Can (and Should) Support Real-Time Data ProcessingIn the era of big data, organizations are grappling with vast amounts of information that can hold immense value if harnessed effectively. Traditional methods of real-time data processing and analysis are no longer sufficient to handle the complexity and scale of modern datasets. That’s…
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7 min read
5 Data Trends to Watch for in 2023
Read more: 5 Data Trends to Watch for in 2023As 2023 gets going, most companies are still pretty obsessed with “data”—as we are. Data is “the new oil”. You knew that already. But trends within the vast data realm come and go and some of them are clearly coming while others are clearly…
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7 min read
The Four Things You Need for Contextual Decision-Making
Read more: The Four Things You Need for Contextual Decision-MakingWhy Enterprises Need Contextual Decisioning The world today is faster-paced than ever before, and the explosive growth of both 5G and the Internet of Things (IoT) is generating a greater variety of data at extremely high velocity. As a result, enterprises are…
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7 min read
Using Data to Monetize 5G for Industry 4.0
Read more: Using Data to Monetize 5G for Industry 4.0There’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…
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7 min read
Q&A Session: Getting Specific About Details of 5G Monetization
Read more: Q&A Session: Getting Specific About Details of 5G MonetizationRecently, experts from Volt Active Data 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…
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7 min read
3 Benefits of Using a In-Memory NewSQL Data Platform for Smart Stream Processing
Read more: 3 Benefits of Using a In-Memory NewSQL Data Platform for Smart Stream ProcessingTraditional pub/sub systems such as Apache Kafka (and their numerous ever evolving stream processing avatars like Apache Samza, Apache Storm, Apache Flink, etc.) work fine for a bunch of simple use cases where there is a need for simple decisions, speed, scale…
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7 min read
Introducing VoltML – The path to operationalizing machine learning just got much faster
Read more: Introducing VoltML – The path to operationalizing machine learning just got much fasterTraditionally 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:…
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7 min read
Getting Machine Learning Into Production With Volt Active Data
Read more: Getting Machine Learning Into Production With Volt Active DataCongratulations! 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 Volt Active…
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7 min read
6 Reasons Why Your Machine Learning Project Will Fail to Get Into Production
Read more: 6 Reasons Why Your Machine Learning Project Will Fail to Get Into ProductionThere 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…
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7 min read
How Volt Active Data Serves Machine Learning Models in Real-Time
Read more: How Volt Active Data Serves Machine Learning Models in Real-TimeIn my previous blog on big data analytics, we discussed how to apply your big data analytics to real-time applications. The idea is that, if you have built analytics on your data, the next step is to use the analytics directly in the…