7:45 am
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
8:45 am
OPENING COMMENTS & ICE BREAKER FROM YOUR HOST
Gain insight into today’s sessions so you can get the most out of your conference experience.
9:00 am
9:00 am
C-Suite PANEL
DeepSeek and the Rise of Agentic AI: Redefining Autonomy in Artificial Intelligence
Argentic AI offers a transformative approach to leveraging big data, enabling organizations to tackle complex challenges and enhance decision-making. Take back to your team strategies to:
- Adopt Argentic AI that will seamlessly integrate with analytics and big data to create flexible, scalable solutions. Build successful projects that blend data, AI agents, and analytics.
- Evaluate and enhance the flexibility of your analytics infrastructure for AI implementation
- Address data imperfections with Argentic AI to improve data quality and outcomes
- Position and structure data teams to drive success in projects that combine big data, analytics, and AI
Unlock the potential of Argentic AI to create smarter, more resilient data ecosystems and achieve breakthrough results.
9:30 am
9:30 am
KEYNOTE
Driving Towards the Democratized Age: Balancing innovation and security
Democratize information responsibly and innovate faster than your competitors. Take back to your office strategies to:
- Establish frameworks that grant greater control to users without compromising data security or privacy.
- Navigate the complexities of AI ethics while empowering teams to drive innovation and efficiency.
- Align data democratization with compliance requirements and mitigate risks associated with widespread data access.
Find the cutting edge between innovation and responsible data and AI use.
10:00 am
10:00 am
INDUSTRY EXPERT
How Synthetic Data Fuels AI Innovation and Reduces Bias
Synthetic data generation is emerging as a powerful solution to build fair and equitable AI systems. Source practical tips to:
- Use synthetic data as an effective solution to challenges of bias and underrepresentation in traditional datasets.
- Optimize Generative AI technologies by leveraging synthetic data.
- Enhance ethics and governance in AI development with synthetic data.
Advance the privacy, ethics, and reliability of data driving your AI with synthetic data
10:30 am
10:30 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.
11:00 am
11:00 am
KEYNOTE
GenAI for Business: Build, Scale, and Beyond
Generative AI (GenAI) is reshaping industries, offering unprecedented opportunities to innovate and drive value. Align with the technical advancements to:
- Identify and develop high-impact GenAI use cases tailored to your business needs
- Overcome challenges in deploying and scaling GenAI solutions across your organization
- Foster leadership alignment to maximize the strategic value of GenAI investments. Discover the pivotal role of strategic and business leadership in achieving GenAI success
Unlock the full potential of GenAI by integrating technical expertise with visionary business leadership.
11:30 am
11:30 am
INDUSTRY EXPERT
Empowering Innovation: Democratizing AI and Analytics with Low-Code/No-Code Platforms
Low-code and no-code platforms are transforming data and AI capabilities. Enable employees across various roles to build, deploy, and manage analytics models without extensive technical expertise. Adopt best practices to:
- Identify use cases where low-code/no-code solutions can maximize team productivity and speed up deployment.
- Implement workflows that simplify data integration, model building, and visualization for non-technical users.
- Foster a culture of data-driven decision-making by empowering employees across all departments with accessible AI tools.
Achieve innovation at scale to drive accessible AI adoption across your organization and accelerate business growth.
12:00 pm
12:00 pm
PANEL
Unlocking New Revenue Streams: Monetizing Your Data Assets
Monetize data assets effectively, transforming raw information into valuable, revenue-generating offerings. Create a roadmap to:
- Identify high-value data assets and assess their monetization potential within your industry.
- Develop data products and services that meet customer needs while enhancing competitive advantage.
- Implement frameworks for data governance and compliance to protect and maximize data value.
Increase strategies to turn your data into a strategic business asset to unlock new revenue opportunities and foster long-term growth.
12:30 pm
12:30 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.
1:30 pm
1:30 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.
1:45 pm
CASE STUDY
Building Agility in Data Science: From Experimentation to Scalable Platforms
Empower your teams to deliver superior results in data-driven initiatives through data science platforms. Adopt practical steps to:
- Achieve better outcomes by leveraging data science and AI at scale
- Transition from individual experiments to a platform model that enables multiple agile models
- Build a reliable engineering backbone to ensure scalability, consistency, and success
Empower your teams to innovate and scale efficiently with a data science platform designed for agility and impact.
1:45 pm
1:45 pm
TRACK 2: ANALYTICS & BICASE STUDY
Driving Transformation with an Analytics Maturity Model: Lessons from Three Organizations
Adopt an analytics maturity model that has been implemented across three leading organizations, helping you elevate your data and analytics capabilities. Take back key frameworks to:
- Apply an actionable analytics maturity model to assess and evolve your organization’s data capabilities
- Drive measurable business impact through data-driven decision-making and advanced analytics
- Engage executives and foster alignment between data teams and business leaders
Explore the future of data, AI, and the evolving role of the Data & Analytics function as critical enablers of organizational growth and innovation.
1:45 pm
1:45 pm
TRACK 3: AICASE STUDY
Scaling AI with AI Ops: Automating and Optimizing ML in Production
As organizations expand their AI initiatives, ensuring efficient management, retraining, and optimization of models in production has become essential. Implement AI Ops to support continuous model performance and scalability. Source practical tips to:
- Automate the monitoring and retraining of AI models to maintain accuracy and relevance over time.
- Design robust AI Ops frameworks that proactively detect and address performance issues.
- Integrate AI Ops into existing workflows for seamless, optimized model management at scale.
Amplify AI scalability with AI Ops tools to ensure continuous model optimization and alignment with business goals.
2:15 pm
ROUNDTABLE DISCUSSION
Accelerating Collaboration with DataOps: Bringing Agility to Data Engineering
DataOps promotes continuous integration, delivery, and monitoring of data flows to improve team collaboration and accelerate insights. Adopt best practices to:
- Implement agile DataOps practices that promote teamwork and reduce pipeline bottlenecks.
- Establish automated monitoring and feedback loops to ensure data accuracy and flow efficiency.
- Align DataOps with business goals to create a responsive, data-driven culture.
Optimize your DataOps environment to support agile data engineering, ensuring a resilient and efficient data infrastructure for your organization
2:15 pm
2:15 pm
TRACK 2: ANALYTICS & BIROUNDTABLE DISCUSSION
Scaling Predictive and Prescriptive Analytics: From Insights to Action
Adopt strategies for expanding analytics infrastructure, integrating with existing systems, and overcoming barriers to adoption. Achieve a step-by-step action plan to:
- Build scalable data pipelines that support predictive and prescriptive analytics across diverse use cases.
- Develop frameworks to ensure analytics outputs are actionable and aligned with business objectives.
- Encourage cross-department collaboration to foster an analytics-driven culture and seamless implementation.
Amplify your analytics initiatives with practical insights and peer-driven strategies that deliver real business impact across your organization.
2:15 pm
2:15 pm
TRACK 3: AIROUNDTABLE DISCUSSION
The Deepseek Edge- Harnessing Open Source for Accelerated AI Development
Execute these tools effectively and navigate the complexities of security, scalability, and integration within your enterprise environment. Create a roadmap to:
- Adopt best practices for using open-source AI tools while maintaining robust security protocols.
- Develop strategies for ensuring scalability and seamless integration of open-source solutions into existing infrastructures.
- Build a culture of collaboration and continuous improvement through community engagement and contribution.
Bolster innovation in your AI projects by fully leveraging open-source resources.
3:00 pm
PANEL
Building a Scalable Data Engineering Practice for the Modern Enterprise
Create resilient, future-proof data engineering frameworks capable of evolving with business needs. Master the success factors to:
- Architect flexible pipelines that support high-volume, high-variety data ingestion and transformation.
- Enable real-time data processing and analytics for faster, more responsive decision-making.
- Optimize integration with legacy systems while preparing for future data sources and analytics demands.
Perfect a comprehensive roadmap for establishing a robust engineering practice to ensure seamless scalability and optimize data integration.
3:00 pm
3:00 pm
TRACK 2: ANALYTICS & BIPANEL
Overcoming Barriers to Real-Time Analytics: Scaling for Success
Harness cutting edge insights by mitigating infrastructure limitations and overcoming the complexity of integrating data from multiple sources in real-time. Develop a blueprint to:
- Evaluate and upgrade infrastructure to support real-time data processing and analytics.
- Develop integration frameworks that streamline the ingestion and processing of data from diverse sources.
- Implement best practices for ensuring data quality and reliability in real-time analytics initiatives.
Impact real-time analytics for enhanced decision-making and business agility.
3:00 pm
3:00 pm
TRACK 3: AICASE STUDY
Trustworthy AI: Overcoming Bias, Enhancing Explainability, and Managing Risk
Develop critical strategies for ensuring AI remains reliable, ethical, and effective. Take back to your organization strategies to:
- Address hallucination and bias in Generative AI to ensure fair and accurate outcomes
- Improve explainability in predictive models within highly regulated industries
- Develop risk mitigation strategies that align with ethical AI principles and compliance requirements
Ensure your AI initiatives are built on a foundation of trust, accountability, and responsible innovation
3:30 pm
3:30 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.
4:00 pm
4:00 pm
TRACK 1: PRACTICALWORKSHOP
Bridging the Gap: Transforming Complex Data Insights into Compelling Business Narratives
Translate intricate analytics into impactful stories that resonate with stakeholders and drive decision-making. Create a storyboard to:
- Distill complex data into clear, actionable insights that align with business priorities.
- Leverage visualization and storytelling tools to enhance data presentation.
Heighten your organization’s impact through the power of data-driven storytelling.
4:00 pm
WORKSHOP- DATA LEADERSHIP
You the Data Leader- Past, Present and Future – A Journey Through Playmobil
Connect with other data leaders in a colourful, co-created session designed to help you generate new insights about how to think about, talk about, and plan for the future of data leadership. Source practical tips to:
- Identify critical skill sets and mindsets to integrate into your leadership development plan.
- Enhance your continuous learning and adaptability to stay ahead in the dynamic data landscape.
4:30 pm
4:30 pm
TRACK 1: PRACTICALWORKSHOP: MACHINE LEARNING
Enhance memory for Large Language Models (LLMs), and adopt advanced strategies to minimize memory usage effectively. Gain practical techniques to:
- Uncover the typical memory footprint of core Machine Learning data structures and algorithms, and understand memory allocation and deallocation during model training.
- Apply memory-saving techniques such as data quantization, model pruning, and efficient mini-batch selection to conserve memory without compromising model performance.
- Address unique challenges of LLM memory demands during inference, exploring model architecture, input sequence length, and vocabulary size impacts on memory.
- Implement strategies like model distillation, dynamic memory allocation, and efficient caching to optimize memory usage during LLM inferencing.
Empower your organization to deploy ML models effectively while navigating the complexities of memory consumption in large-scale ML deployments
4:30 pm
4:30 pm
TRACK 2: EXPERIENTIALWORKSHOP
Bridging the Gap- Connecting Coders and Non-Coders for Business Success
Break down silos, improve communication, and align technical execution with business goals. Take back to your organization strategies to:
- Foster collaboration between data teams and business stakeholders to accelerate innovation
- Implement tools and processes that make analytics accessible to non-technical users
- Bridge the skills gap with training, shared frameworks, and cross-functional teams
Unlock the full potential of your data initiatives by creating a culture where coders and non-coders work together seamlessly.
5:30 pm
5:30 pm
CLOSING COMMENTS FROM YOUR HOST
Review the key solutions and takeaways from today’s sessions. Source a summary of action points to implement in your work. Discuss tomorrow’s highlights!
5:45 pm
5:45 pm
EVENING RECEPTION: ENJOY GREAT CONVERSATION, MUSIC, & NETWORKING
- Relax and unwind with tasty cocktails after a long day of learning.
- Don’t miss your chance to win fun prizes at our Reception Gift Giveaway.
- Make dinner plans with your new connections and enjoy the best of what Toronto nightlife has to offer. Just be sure to set your alarm for Day 2!
6:00 pm
6:00 pm