International Institute for Analytics

Organizations looking to migrate to the cloud have to sift through extensive vendor noise. This session will cover cloud migrations and the various cloud providers. We’ll also share the most common ways organizations fail to leverage their cloud migration to the maximum.

An analytics capability road map (ACR) defines the development of competencies and technologies over time to address known and expected business needs in a future state.

All business is digital. This is a simple matter of physics: Atoms are full of friction; bits are abundant and limitless. Analytics is the job of measuring those bits, and acting on what’s learned in ways that improve the business. That’s why companies that rely on data-driven iteration beat those who shoot from the hip.

Nobody really wants more data…they want just enough, high quality information to help them make decisions. But information is insufficient for making good decisions. Good decisions are rooted in a culture and its ethics: the way people in an organization or community relate to one another, design good decision-making processes, and develop systems of accountability. Without doing this work, it’s easy for organizations to develop what can only be called a data addiction. This session will highlight the worst ways to get your data “fix,” and the best ways to replace this addiction with a decision-making approach rooted in a shared system of values, process and accountability.​​​

Data is moving from being the source of reports to the centre of a product’s value proposition.

Products fueled by data and machine learning can be a powerful way to solve users’ needs. They can also create a “data moat” that can help stave off the competition. The lifecycle of a data product in many ways mirrors standard product development: identifying the opportunity to solve a core user need, building an initial version, and then evaluating its impact and iterating. But the data component adds an extra layer of complexity.

Founded in 2012, the ANNY has been awarded to teams in many industries who have made profound changes to their organization through analytics projects. IIA reviews all applications to select the application that best illustrates the use of advanced analytics in innovative ways to drive measurable business results.

Founded in 2012, the ANNY has been awarded to teams in many industries who have made profound changes to their organization through analytics projects. IIA reviews all applications to select the application that best illustrates the use of advanced analytics in innovative ways to drive measurable business results.

Founded in 2012, the ANNY has been awarded to teams in many industries who have made profound changes to their organization through analytics projects. IIA reviews all applications to select the application that best illustrates the use of advanced analytics in innovative ways to drive measurable business results.

Founded in 2012, the ANNY has been awarded to teams in many industries who have made profound changes to their organization through analytics projects. IIA reviews all applications to select the application that best illustrates the use of advanced analytics in innovative ways to drive measurable business results.

Inquiry:

As we work towards our goal of deploying more machine learning (ML) models into production, how do we position our MLOps needs to the organization? What needs to happen for MLOps to be successful?