Evaluation techniques for ML algorithms – Balance accuracy with business value and performance ML for small data
Take30 with a Data Scientist – 10/29/20
How Snowflake Breaks the Chains Holding Your Data Science Team Back
Take30 with a Data Scientist – 9/10/20
Data Science as a Service: Leverage Expertise and Data Enrichment to Optimize AI Value
Reduce risk, lower costs and realize business value faster with a stepwise approach to data-enriched AI.
This eBook looks at how to discover the potential AI use cases for your business and alternatives for their implementation. It describes a flexible, customized data science as a service approach, developed by Ironside, that reduces the risk of getting started with AI and addresses the role that data enrichment can play in delivering more value from your AI investments.
Download this 10 page eBook to learn more about:
- The importance of starting with the right use case
- How to choose the right AI approach
- The value of Ironside’s AscentAI — a flexible, customized
data science as-a-service, progressive 4-Step solution - How to increase the business value of AI investments by adding
feature-rich location-based data to your internal datasets - Advantages of Ironside & Precisely’s approach for AI data enrichment
Fill in the form below to get your copy of Data Science as a Service.
Why Ironside and AscentAI
Ironside has years of proven experience helping organizations successfully launch their AI journey. Our highly skilled data science team understands the common pitfalls and how to pivot around them. You can depend on Ironside to consistently offer a valuable point of view on AI/ML technology and infrastructure options and to understand that many organizations can’t jump in feet first and need a way to prove value quickly and easily with rapid cost-effective sprints before they begin to think about hiring and/or making large technology purchases. That is why we created AscentAI.
To learn more about AscentAI, visit IronsideGroup.com or you can email us at HelloAI@Ironside.com.
About Ironside
Ironside was founded in 1999 as an enterprise data and analytics solution provider and system integrator. Our clients hire us to acquire, enrich and measure their data so they can make smarter, better decisions about their business. No matter your industry or specific business challenges, Ironside has the experience, perspective and agility to help transform your analytic environment.
Industry Focus: Insurance
Take30 with a Data Scientist – 8/13/20
Get an Inside Look at Sagemaker Studio
Take30 with a Data Scientist – 7/7/20
In this session, we’ll discuss and answer questions about Sagemaker Studio. It’s 6 months since its launch – can it provide for your AutoML needs?
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Leveraging Data for Predicting Outcomes in Higher Ed
Take30 with a Data Scientist – 6/30/20
Join us as we discuss our work with Higher Education clients using predictive modeling to identify high-risk students to improve retention, improve student acceptance rates, and identify donor trends. And, we will discuss the impact of COVID-19 on these models.
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Get your Models Out of Training & Into the Workforce
Take30 with a Data Scientist – 6/23/20
Join us for a demo of DataRobot’s MLOps, and see how it allows a data science team to easily deploy, monitor and refresh a multitude of machine learning assets.
Jake Snyder | Data Scientist, DataRobot
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AI & ML Intro for Business Leaders
Take30 with a Data Scientist – 6/16/20
Explore the highlights of AI and see how businesses are implementing it.
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Data Science Best Practices: Feature Stores
Take30 with a Data Scientist – 6/9/20
Feature stores are an optimal way to minimize rework and accelerate data science efforts, but needs to be well thought out and carefully governed. In this session, we’ll discuss some of the approaches and considerations when establishing this key component of an AI habitat.
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Building Your AI Strategy
Take30 with a Data Scientist – 6/2/20
We’ll talk about how to establish a solid foundation for your AI habitat, the options available for skills and technology, and the pitfalls to avoid, as your organization navigates the world of AI.
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