Day 2

• Start your day off right and connect with big data and analytics leaders.
• Get to know your data peers and colleagues over a delicious breakfast.
• Source practical tips, discuss best practices, and prepare for the day ahead.

Gain insight into today’s sessions so you can get the most out of your conference experience.

Hybrid and multi-cloud environments are becoming essential for achieving flexible and scalable data storage and analytics. Walk away with:

• Strategies for seamlessly integrating hybrid and multi-cloud solutions into existing data ecosystems.
• Optimizing data storage and analytics performance across diverse cloud environments.
• Adopting practices for successful cloud-first implementations that enhance business agility and decision-making.

Amplify the use of cloud technologies to ensure your organization stays ahead in the rapidly evolving data landscape.

Enhance revenue and efficiency by fostering a culture of AI literacy. Empower employees and enhance the effectiveness of AI initiatives. Source practical tips to:

• Assess current employee understanding of AI and identify training needs.
• Develop effective training programs to enhance AI literacy across all levels of the organization.
• Promote a collaborative environment where employees feel comfortable engaging with AI technologies and contributing to project success.

Improve AI literacy to unlock its full potential within your organization.

Organizations often face the challenge of developing data strategies in isolation, leading to misalignment with overall business objectives and key performance indicators (KPIs).  Integrate data initiatives with business goals to drive meaningful results. Master the success factors to:

• Identify and align data initiatives with strategic business objectives and KPIs.
• Create a collaborative environment that encourages cross-functional communication.
• Use case studies to demonstrate the successful alignment of data strategies with business goals, highlighting their impact on performance.

Master a cohesive approach to data that breaks down silos and drives value.

Take a deep dive down the innovation rabbit hole in one of our roundtable discussions. Share challenges and best practices with your big data and analytics peers on a topic of your choosing:

1. Driving AI Innovation While Managing Ethical and Privacy Concerns

Explore the challenges and opportunities of deploying AI at scale, while balancing privacy, transparency, and ethical responsibilities.

2. Building a Data-Driven Culture: From Top-Down to Bottom-Up Adoption

Discuss strategies to foster a truly data-driven organization by aligning leadership vision with on-the-ground data literacy initiatives.

3. The Data Mesh Revolution: Decentralizing Data Ownership Across the Enterprise

Dive into the emerging data mesh paradigm, which decentralizes data management by assigning domain-specific ownership.

4. The Future of Real-Time Analytics: How to Drive Value from Streaming Data

Explore the growing demand for real-time analytics in industries from retail to finance, where speed of insight is critical. Topics include infrastructure considerations, use case prioritization, and overcoming the operational challenges of maintaining real-time data quality.

5. Unlocking Value with Data Democratization While Ensuring Security and Compliance

Consider the balance between empowering employees with data access and maintaining security and compliance standards.

• Explore the latest big data and analytics technology and strategies with our industry-leading sponsors.
• Share your challenges with the biggest innovators in the business.
• Schedule one-to-one private meetings for personalized advice.

• Meet interesting speakers and pick their brains on the latest data issues.
• Expand your network and make connections that last beyond the conference.
• Enjoy great food and service while engaging with your big data and analytics colleagues.

• Browse through different sponsor booths and test drive innovative technology.
• Enter your name for a chance to win exciting prizes.
• Take advantage of event-specific offers and exclusive content.

• Enjoy exclusive sponsor demos and experience the next level of big data and analytics innovation firsthand.
• Meet one-on-one with leading solution providers to discuss organizational hurdles.
• Brainstorm solutions and gain new perspectives and ideas.

Discover how to quickly ingest existing data, optimise procedures and train an interactive AI avatar while at the same time becoming compliant with Federal, UN, and EU AI policies. Optimize your AI strategy by:

• Building a framework of the possibilities and limitations of using data to create an adaptive AI representative or personal assistant for front line support
• Adapt (and sometimes ignore) key AI practices in a client first approach for truly heartfelt and inspiring outcomes.

Increase your data privacy and encourage responsible AI use to build trust, safeguard personal information, and promote sustainable growth in Canada’s digital economy.

As sustainability becomes a key focus for organizations, the spotlight is increasingly on reducing the carbon footprint associated with data operations and AI model training processes. Balance technological advancement with environmental responsibility. Adopt best practices to:

• Optimize data storage and processing to minimize energy consumption.
• Implement energy-efficient AI model training and deployment.
• Explore case studies of organizations successfully integrating sustainability into their AI strategies.

Reduce your carbon footprint while harnessing the transformative power of AI.

Review the key solutions and takeaways from the conference. Source a summary of action points to implement in your work.