Machine learning is much more than just a buzzword. In fact, it has become a part of our everyday lives – sometimes without even noticing. With 75% of executives believing that artificial intelligence (AI) will enable their companies to move into new businesses, and 85% believing AI will allow their companies to obtain or sustain a competitive advantage, Artificial Intelligence is redefining the enterprise.

With benefits that are far-reaching and quantifiable, AI is enabling companies in every industry to more accurately and quickly arrive at strategic insights, make smarter, data-driven decisions, and enhance operational efficiency.

The Promise of Machine Learning

Machine learning is an application (or subset) of AI, through which computers can learn from data, and extract insights without being explicitly programmed. By automating analytical model building, machine learning enables autonomous decision making. Furthermore, by continuously learning and accumulating experience, machine learning enables ever more accurate decisions, insights, and recommendations.

For businesses, machine learning provides a smarter, faster, automated way to get insights about strategic KPIs, such as churn prevention, online campaign personalization, demand forecasting, fraud detection, predictive maintenance, and more.

Yet, with all this promise, most companies are finding it difficult to tap into the potential.  Leveraging the many benefits made possible by machine learning can be a challenge. Where, most companies need to follow specific steps but do not necessarily have the requisite infrastructure, nor capabilities to make it happen.

We have created an eBook to help you learn more about the Machine Learning revolution and how you can gain value from Machine Learning. In this eBook, we:

  • Discuss the promise of machine learning and data science
  • Review the main hurdles to extracting value from machine learning
  • Suggest a simplified architecture that can help organizations become insight-driven
  • Review use cases for telecommunications, retail, financial trading, insurance, risk management, fraud detection, IoT, healthcare and more
  • Present how GigaSpaces InsightEdge Platform operationalizes Machine Learning and accelerates business value

Get your copy of our Machine Learning eBook here:

Machine Learning eBook

GigaSpaces helps organizations leverage the full benefits of machine learning with the InsightEdge Platform, powered by our XAP In-Memory Data Grid, a fast data in-memory computing platform which converges analytical and transactional workloads in a unified open-source based software stack.

To learn more about the GigaSpaces approach to Machine Learning and the advantages of a unified architecture visit here. You can also catch our talk at Intel® AI DevCon 2018 in San Francisco on May 24th, where we will be discussing How to Operationalize AI for Instant Business Impact with Hybrid Transactional and Analytical Processing.

How to Operationalize Machine Learning and Accelerate Business Value with Insight Platforms and In-Memory Computing
Dana Meschiany on LinkedinDana Meschiany on Twitter
Dana Meschiany
Marcom Manager @ GigaSpaces
Dana is a content wizard, a lover of words and a tech geek at heart. When she's not planning events or tweetin' about them, you can find her doing her pilates exercises or catching up on the latest Netflix series.
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