Boston CDAO Virtual Executive Summit

AI is increasingly used to drive innovation and efficiency; however, concerns remain, largely, how do we trust AI when it comes to decisions that directly impact customers and consumer outcomes? For AI and ML to be successfully deployed, it needs to overcome mistrust and bias.

This session will broadly discuss:

• How usage of AI has advanced and transformed industries
• Ideas and strategies for increasing trust and minimizing bias
• Use cases for strategic AI initiatives throughout the enterprise

Meet virtually for in-depth conversations with your colleagues

Studies show that a mere 10% of direct organizations achieve financial benefits with AI. The reason: businesses often unwittingly deploy a set of tactics with their AI that’s in conflict with their overall strategic objectives. That can result in AI that actually destroys value. The solution: Strategy-first AI. To ensure payback, AI must take into account your strategic intent upfront. Deploy a portfolio of AI models that deliver recommendations that align to your overarching strategy, while optimizing your actions and reactions based on market shifts, cost-benefit tradeoffs, and capacity constraints. That way, the AI is always trained on your strategic intent, adjusts to changes, and continuously delivers value.

Join Aible to learn:

• Why 90% of AI projects fail to deliver value and how you can reverse that equation
• How the tactics of an AI can directly contradict the strategy that your organization is trying to pursue and how to prevent that
• How both large and small organizations have successfully gotten to multi-million-dollar benefits in the first month of using strategy-first AI technology

In the wake of a worldwide disruption, there is a sense of uncertainty for many organizations. Data is moving faster than ever and it is critical for organizations to increase agility and make smarter business decisions to maintain their competitive advantage.

In this session you will discuss:

• Exploiting new business opportunities while focusing on the most valuable investment priorities
• Methods for managing disruptive forces and changing market conditions to better serve customers and collaborate more effectively with strategic partners
• Tactics for moving beyond center-out strategies to create agile data and analytics strategies to deliver a competitive advantage

Data leaders have immense quantities of data at their fingertips; but the volume, variety and speed of which data sources continue to grow make it impossible to manage manually, leading to necessary automation for effective data management. Enriching traditional data catalogs with automation and machine learning capabilities enable CDOs to champion successful data management strategies.

In this session, you will discuss:

• Empowering collaboration and trust in data through strategic data stewardship
• Best practices for cleaning the data environment to reduce risk and the cost of storing data
• Methods for utilizing ML & AI to create a comprehensive data environment for data intelligence

Every successful enterprise understands the urgency of digital transformation. 2020 shifted focus to and highlighted the need for improved data management. The influx of new and large volumes of data requires synchronizing legacy systems with emerging technologies for improved data management and increased revenue.

This keynote will delve into:

• Communicating data management and governance demands and strategies
• Leveraging data lakes or warehouses to support the business at scale
• Creating a culture of self-service to develop workflows that generate high performance models

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