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Author: Marketing Desk

Posted On Apr 21, 2016   |   2 Mins

We have moved from the age where organizations had to jump through hoops to get relevant data about their customers, business segments, market, etc. With the onset of massive digitization across the business world, getting and collecting information is no longer a challenge, but processing them into meaningful insights is.

Enterprises in this competitive business landscape are focusing towards an integrated data driven approach to enable rapid and accurate decision making. Machine learning, no longer lying in the realms of sci-fi, with its multi-faceted applications and benefits is emerging as a front-runner to overcome this challenge.

Enterprises implementing machine learning can easily get new market insights, predict customer behavior or preferences, and reduce operating costs by improving the effectiveness and efficiency of the business processes. Thus, resulting in overall improvement in both top line and bottom line margins.

Harbinger Systems hosted an insightful webinar “Discover the Potential of Your Data with Machine Learning” on May 12, 2016. Attendees gained insights on how to use machine learning on enterprise data, along with the tools and technologies needed and some interesting real world use cases.

KEY TAKEAWAYS

  • What is machine learning? How can machine learning add value to your business?
  • Using machine learning on enterprise data:
    • Types of business problems machine learning can solve
    • How to categorize a problem- Regression, Clustering, and Classification
  • Implementing machine learning – Overview of key algorithms, tools, and technologies
  • Walk-through of real-world use cases

Thank you for the overwhelming response to the webinar.

You can view the presentation and the webinar video here.

Forward-Deployed Engineering

Additional Perspectives on the FDE Model

Forward-deployed engineering is gaining attention as a way to bring engineers closer to customer problems and real-world implementation. Several organizations describe this model as a way to align engineering work with customer needs, systems, and workflows. Here are a few resources that offer additional perspectives on the FDE model:https://www.griddynamics.com/glossary/forward-deployed-engineering

https://miragemetrics.com/guides/forward-deployed-engineering

https://www.cognizant.com/us/en/glossary/forward-deployed-engineer

https://fde.academy/blog

About Harbinger Group

Harbinger Group is a global Advisory-Led Performance Enablement company. For more than three decades, we’ve partnered with organizations in the people business, helping Enterprises, B2B SaaS vendors, and Digital Publishers close the gap between where workforce and learning performance is today and where it needs to be.
We work across Workforce Technology and Digital Learning domains. In each, we diagnose the friction limiting performance first, then engineer the fix, combining strategic advisory with digital product engineering and eLearning content development to deliver solutions built around the workflows, metrics, and outcomes each workforce owns.
Our pedigree in product engineering and digital learning has built a culture of continuous learning. We apply technologies like Agentic AI where they deliver measurable performance gains for our customers not because they’re new, but because they close the gap.

Why Harbinger is Your Trusted AI Solutions Partner?

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30+

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1000+

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500+

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115+

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100+

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Successful AI Implementation Use Cases

200+

Apps and Platforms Integrated

30+

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