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.

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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.

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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.

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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

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Empowering Your Data Science with Data Enrichment
Transforming Data with Intelligence

Round Table with Data Scientists – 6/22/21

In this thought-provoking roundtable discussion, Fern Halper, Ph.D., TDWI’s VP of research and senior director for advanced analytics, Pam Askar, Ph.D., Ironside’s director of advanced analytics, and Mike Ashmore, Precisely’s director of location intelligence products, discuss the value of data enrichment for data science and best practices for getting started.

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Accelerating Data Science in Banking

Take30 with a Data Scientist – 5/20/21

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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.

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Paul Hardy | VP, Advisory Services

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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.

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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.

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Overcoming the Most Common Barriers to AI Adoption

Take30 with a Data Scientist – 2/25/21

Whether your organization is just thinking of getting involved in AI or you have several models in production, there are challenges to overcome. Join us to hear our advice to overcoming the most common challenges organizations face in AI adoption.

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