7:45 am
NETWORKING BREAKFAST: BUILD COMMUNITY CONTACTS
- 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.
8:45 am
OPENING COMMENTS FROM YOUR HOST
Gain insight into today’s sessions so you can get the most out of your conference experience.
9:00 am
OPENING FIRESIDE CHAT
Unlocking the Future: Capitalizing on Generative AI and ML
Ontologies play a critical role in leveraging General AI and Machine Learning for business growth. To be competitive in the digital era, transforming organizational data infrastructure to harness these key technologies is key. Adopt key strategies for:.
- Deploying these technologies in the most effective way
- Optimize data utilization to drive innovation
Utilize ontological structure and cutting-edge AI to ensure your organization stays ahead in the rapidly evolving data landscape.
9:30 am
INDUSTRY EXPERT
Bridging the Knowledge Gap: Enhancing AI Understanding Across Your Organization
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.
10:00 am
INDUSTRY EXPERT
Aligning Data Strategies with Business Objectives: Breaking Down Silos for Success
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.
10:30 am
ROUNDTABLES: DISCOVER THOUGHT-PROVOKING IDEAS
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:
- 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.
- 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.
- 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.
- 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.
- 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.
11:00 am
EXHIBITOR LOUNGE: VISIT BOOTHS & SOURCE EXPERTISE
- 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.
11:30 am
CASE STUDY
Ensuring Privacy by Design: Building Robust Data Architectures in Compliance with Stricter Regulations
Protect your brand and implement a comprehensive approach to data privacy, focusing on robust anonymization, encryption, and access controls to safeguard sensitive information. Achieve a step-by-step action plan to:
- Integrate privacy-by-design principles into existing data architectures.
- Implement effective data anonymization and encryption strategies to protect sensitive information.
- Achieve compliance with stringent data privacy regulations.
Master data privacy practices to build a resilient architecture that fosters trust and safeguards sensitive information.
11:30 am
PANEL
AI Leadership and Ethics amidst uncertainty: Navigating Governance, Innovation, and Responsibility
Balance innovation with ethical responsibility, navigate governance challenges, and ensure AI is deployed in a way that aligns with enterprise values and societal expectations. Take back to your organization strategies to:
- Establish AI governance frameworks that ensure transparency, fairness, and accountability
- Align AI initiatives with evolving policies, regulations, and public expectations
Foster responsible AI leadership
12:00 pm
PANEL
Ensuring Fairness in AI: Designing Architectures for Equity and Accountability
Protect your most valuable data. Detect and mitigating biases in data sources and AI algorithms while fostering transparency and accountability throughout the AI lifecycle. Develop a blueprint to:
- Adopt frameworks for identifying and addressing biases in data and algorithms.
- Enhance transparency and accountability in building trust in AI systems.
- Build credibility with executives, teams, and customers through fair AI practices.
Amplify innovation and brand building to foster trust and drive long-term success in your organization.
12:00 pm
PANEL
Navigating the Data Governance Tightrope: Balancing Access, Security, and Compliance
Drive innovation while enhancing privacy and security with a unified governance framework. Take back to your office strategies to:
- Adopt the key components of a unified data governance framework and understand how they interconnect.
- Align data governance with business objectives and agile practices.
- Incorporate effective change management strategies for implementing a comprehensive governance model.
Achieve better decision-making by fostering a culture of trust in data and AI.
12:30 pm
Driving Efficiency in Data Engineering through Automation
Automation is emerging as a transformative trend in data engineering, empowering organizations to adopt automated tools for building, monitoring, and managing data pipelines. Source your plan of action by:
- Identifying and implementing automated tools that streamline data pipeline processes and reduce operational overhead.
- Enhancing the reliability and performance of data pipelines through continuous monitoring and automated alerts.
- Shifting the focus from routine tasks to strategic initiatives that optimize data architecture and drive business value.
Improve efficiency and effectiveness in data engineering by leveraging automation.
12:30 pm
Beyond the Pilot: Scaling AI for Enterprise Impact
Drive AI initiatives beyond proofs of concept to achieve measurable impact at scale. Develop a blueprint to:
- Design scalable AI architectures that integrate seamlessly into existing workflows.
- Address common obstacles in data availability, infrastructure, and cross-functional collaboration for enterprise deployment.
- Align AI projects with business objectives to ensure long-term value and secure organizational support.
Amplify the impact of AI at scale and turn promising pilots into enterprise-wide success stories.
1:00 pm
NETWORKING LUNCH:DELVE INTO INDUSTRY CONVERSATIONS
- 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.
2:00 pm
EXHIBITOR LOUNGE: VISIT BOOTHS & WIN PRIZES
- 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.
2:30 pm
CASE STUDY
Empowering Data Leadership: Personal Branding and Culture Transformation in the Age of AI
Understanding the intersection of personal branding and cultural transformation is essential for effective leadership in today’s data-driven world. A strong personal brand is not just an asset but a strategic necessity for navigating digital challenges and opportunities. Leave with valuable strategies that:
- Engage teams and stakeholders effectively, driving collaboration across the organization.
- Embed data literacy and analytics into the organizational culture to fuel performance and innovation.
- Build an influential personal brand that resonate within and beyond your organization.
2:30 pm
CASE STUDY
Driving Innovation through Strategic Vendor Partnerships in Data and Analytics
Harness the best tools by navigating an intricate eco-system of vendors that provide platforms and capabilities at scale while meeting your unique organizational needs. Achieve a step-by-step action plan to:
- Influence vendors to align their product development pathways with your organizational needs.
- Facilitate collaboration between vendors to drive interoperability and key functionality.
- Harness external expertise to introduce innovative solutions that enhance data capabilities and analytics outcomes.
Transform your organization’s data and analytics innovation journey through strategic vendor partnerships.
3:00 pm
Building a Modern Data Strategy: Aligning Business Goals with Analytics Excellence
Create a future-ready data strategy that aligns with your business goals, ensures scalability, and fosters innovation. Take back to your organization strategies to:
- Harness the power of cloud first strategies
- Modernize data infrastructure to enable real-time insights and scalability
- Implement governance frameworks to ensure data quality, security, and compliance
Empower your organization to thrive in the digital era with a data strategy that turns challenges into opportunities.
3:00 pm
CASE STUDY
Bridging the Gap: Balancing Technical Expertise and Business Acumen in Data-Driven Strategies
Building successful data and analytics initiatives requires more than technical skills alone. Balancing deep technical expertise with strong business knowledge can drive more relevant and impactful analytics, fostering data-driven decision-making. Adopt best practices to:
- Structure cross-functional teams that integrate data science and business expertise.
- Cultivate a shared language and approach for data projects that align with core business goals.
Bolster your strategic impact and organizational buy-in to drive sustainable growth and alignment with long-term business objectives.
3:30 pm
CASE STUDY
Measuring the Value of Data, AI, and Digital Investments: From Hype to Impact
Adopt the leading frameworks and best practices for evaluating the success of your digital initiatives. Take back to your organization strategies to:
- Define meaningful KPIs to measure the business impact of data and AI investments
- Move beyond vanity metrics to assess tangible value creation and competitive advantage
- Align digital investments with strategic goals to maximize long-term returns
Ensure your organization is equipped with the right metrics and methodologies to justify and optimize AI and digital transformation efforts.
3:30 pm
PANEL
Elevate Your Leadership Brand: Strategies for Transitioning from Technical Management to Strategic Leadership
Strengthen your leadership brand by leveraging your technical background to influence business-wide decisions and drive organizational success from a strategic perspective. Take back to your office strategies to:
- Develop executive presence and communication skills that resonate with C-suite stakeholders.
- Shift from managing projects to defining vision and setting strategic priorities.
- Align data initiatives with broader business goals to foster innovation and drive growth across the organization.
Advance your progress from technical management to strategic leadership to drive transformative change and influence key business outcomes.
4:00 pm
EXHIBITOR LOUNGE:ATTEND VENDOR DEMOS & CONSULT INDUSTRY EXPERTS
- 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.
4:30 pm
CASE STUDY:
CASE STUDY: DATA COLLECTION
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.
5:00 pm
CASE STUDY
Sustainability in AI: Reducing the Carbon Footprint of Data Operations
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.
5:30 pm
CLOSING COMMENTS FROM YOUR HOST
Review the key solutions and takeaways from the conference. Source a summary of action points to implement in your work.
5:45 pm