Leveraging Deep Learning and Clinical Text to Predict Asthma Exacerbation
Take30 with a Data Scientist – 4/5/22
This talk is intended to provide a view into the process of developing risk classifiers using NLP and deep learning on clinical notes derived from electronic medical records The ultimate goal of this research effort is to develop a predictive model that could inform a clinical decision support tool to alert clinicians and patients’ families of likely impending severe asthma exacerbation. Such a tool would allow early intervention to avert severe asthma exacerbation and improve patient outcomes. Recommendations and challenges will be discussed in regard to working with this type of data, and cloud based development using Azure Databricks and TensorFlow as a technology platform
How Banks Can Utilize Data Analytics
Take30 with a Data Scientist – 12/16/21
This session will discuss how the banking industry can utilize advanced data analytics to help their business. Our experts will look into these use cases: identifying profitable customers and products, forecasting branch performance, and new site selections. This webinar will also touch on the types of external data we can leverage in addition to banks’ internal data.
AscentAI: Assessing your AI Viability in under 3 weeks
Take30 with a Data Scientist – 9/23/21
Start with a small investment and give us 2-3 weeks. We’ll come back with model prototypes that give you hard data on the gains you can expect to make as your analytics capabilities improve. Learn more about our Data Science as a Service offering.
Accelerating Data Science for Customer Insights – Ironside & Precisely
Take30 with a Data Scientist – 7/30/21
“A use case driven approach allows you to focus on the data related to the problem you’re trying to solve.”
Among the thousands of decisions being made at your organization every day, there are golden opportunities. Some are small but have an outsized impact on profitability. Others are big enough to reshape your company’s future. So, prioritizing where you apply AI and understanding the potential impact on your business, the best opportunities stand out, and so do the best ways to act on them.
How CEOs can create competitive advantage with AI – Ironside x CEO Coaching International
Take30 with a Data Scientist – 6/25/21
Leaders and organizations in every industry often seek ways to leverage Artificial Intelligence (AI).
Despite enthusiasm for these technologies, many leaders don’t know how to get started, what use cases are appropriate, or lack technology and data science skills. The perceived hurdles, investments, and risks can make the business value of AI seem like a distant reality.
In a special webcast, brought to you by our friends at the Ironside Group, you’ll learn how:
To get started without significant upfront costs while quickly achieving ROI
Organizations like yours are benefiting from machine learning
To choose the high-value use cases unique to your business
Data science, as a service, overcomes barriers, accelerates AI adoption, and protects your unique assets
Empowering Your Data Science with Data Enrichment
Transforming Data with Intelligence
Round Table with Data Scientists – 6/22/21
Accelerating Data Science in Banking
Take30 with a Data Scientist – 5/20/21
What’s Behind Developing Your AI Use Case?
Take30 with a Data Scientist – 4/29/21
What makes a good AI use case? Learn about Ironside’s approach to defining and developing AI use cases and what questions you should be asking to curate a use case catalog of your own.
Paul Hardy | VP, Advisory Services
[/av_textblock] [/av_one_half]The Power of the Snowflake Data Exchange for Analytics
Take30 with a Data Scientist – 4/8/21
More data unlocks new business insight. Join Ironside and Snowflake as we explore Snowflake data sharing, the fundamental behind how the Snowflake Data Exchange allows businesses to access and join new external data with current data to accelerate analytics and data science.
Building Trustworthy AI
Take30 with a Data Scientist – 3/11/21
How do you ensure your machine learning models aren’t biased? How can you best protect your customer’s privacy while also providing personalized solutions? And how can you deliver transparent and explainable models that end users are comfortable with? Join us for a discussion on these important topics.