Data Science in Action @ Venture Café PHX
AZ Collab is thrilled to bring ixpantia's 'Data Science in Action: Transforming Business with AI, ML, and Analytics' workshop series to Arizona, in partnership with Venture Café PHX. This collaboration opens doors for local businesses and startups to harness the transformative power of AI, ML, and Analytics, fostering a new wave of innovation and growth within our vibrant tech community. Through these 6 biweekly sessions, participants will gain insights into building robust data infrastructures and harnessing the power of machine learning for actionable business strategies.
Location: Venture Café Phoenix
850 N 5th St, Phoenix, AZ 85004, USA
ASU Edson E+I Space | Parking is validated.
Series Highlights:
March 14 - Data Science and AI for Business
March 28 - Building Your Data Infrastructure
April 11 - Leveraging Machine Learning for Business Insights
April 25 - Optimizing AI Performance and Costs with Data Science and ML
May 9 - The Internet of Things (IoT) and Big Data Integration
May 23 - Implementing Your AI and Data Strategy
Who Should Attend?
Whether you're an entrepreneur looking to innovate, a founder or business owner eager to scale, or a professional seeking to enhance your tech skills, this series has something for everyone. If you're interested in how data science, AI, and ML can transform your business, you won't want to miss this!
How to Attend
Joining us for the workshop is easy, just follow these simple steps:
RSVP @ Luma: Secure your spot by RSVPing on this page.
First-Time VCPHX Visitors: If this is your first adventure with Venture Café, please take a moment to register on their site. It's a quick, one-time process that ensures you're all set for any future VCPHX events - it helps you check-in faster.
Arrive Early: Doors open every Thursday from 5:00 PM to 7 PM. We recommend arriving early to check in and enjoy some quality networking time. Plus, enjoy 2 free drinks and take advantage of free parking!
For more details about what Venture Café Phoenix has to offer and to get a glimpse of the vibrant community you're about to join, visit venturecafephoenix.org.
We can't wait to see you there and dive into an evening of learning, networking, and growth!
Workshop Series
Session 1: Data Science and AI for Business | March 14th, 2024
UNLOCK THE POTENTIAL OF DATA SCIENCE AND AI IN YOUR BUSINESS JOURNEY: Dive into the world of data science and AI, and discover how these powerful tools are reshaping the business landscape. This session will lay the foundation for understanding the key concepts and applications of data science and AI in solving real-world business challenges.
KEY TOPICS:
Demystifying Data Science and AI: Simplifying complex concepts for practical understanding.
Real-World Applications: Showcasing how businesses leverage data science and AI for competitive advantage.
Success Stories: Inspirational case studies from ixpantia's portfolio, demonstrating tangible benefits.
Session 2: Building Your Data Infrastructure | March 28th, 2024
CRAFTING THE BACKBONE FOR AI AND ANALYTICS SUCCESS: Learn the essentials of constructing a robust data infrastructure capable of supporting sophisticated AI and analytics projects. This session emphasizes the importance of data quality, management, and architecture in laying the groundwork for innovation.
KEY TOPICS:
Data Management Best Practices: Ensuring data quality, security, and accessibility.
Infrastructure Scalability: Designing systems that grow with your business needs.
Case Studies: Examples of effective data infrastructure from various industries.
Session 3: Leveraging Machine Learning for Business Insights | April 11th, 2024
TRANSFORM DATA INTO DECISIONS WITH MACHINE LEARNING: Explore the transformative power of machine learning in extracting valuable insights from data. This session will guide you through the process of using ML models to predict trends, behaviors, and outcomes, empowering data-driven decision-making.
KEY TOPICS:
Predictive Modeling: Techniques for forecasting future trends and behaviors.
ML in Action: Practical applications of machine learning in business analytics.
Success Framework: How to implement ML projects for maximum impact.
Session 4: Optimizing AI Performance and Costs with Data Science and ML | April 25th, 2024
ENHANCE EFFICIENCY AND REDUCE COSTS IN AI PROJECTS: Delve into strategies for using data science and machine learning to optimize the performance and cost-efficiency of AI initiatives. This session focuses on practical approaches to improving AI project outcomes through better data practices and ML models.
KEY TOPICS:
Data Quality and Preparation: The foundation of successful AI projects.
Machine Learning Techniques: Enhancing AI algorithms for better performance.
Efficiency Case Studies: Real-world examples of cost-effective AI solutions.
Session 5: The Internet of Things (IoT) and Big Data Integration | May 9th, 2024
UNLOCKING NEW OPPORTUNITIES WITH IoT AND BIG DATA: Discover how the integration of IoT with big data analytics opens up unprecedented opportunities for innovation and efficiency. This session explores the synergy between IoT devices and data analytics, illustrating the potential for transformative business solutions.
KEY TOPICS:
IoT Data Streams: Harnessing real-time data for analytics.
Integrating IoT with Big Data: Strategies for combining technologies for business insights.
Innovative Applications: Cutting-edge uses of IoT and big data in various sectors.
Session 6: Implementing Your AI and Data Strategy | May 23rd, 2024
TURNING INSIGHTS INTO ACTIONABLE STRATEGIES: Conclude the series by learning how to translate data insights into strategic actions. This session covers the essentials of developing and implementing a comprehensive AI and data strategy, ensuring your business can leverage technology for growth and innovation.
KEY TOPICS:
Strategic Planning for AI: Building a roadmap for AI and data initiatives.
Team Building and Technology Selection: Assembling the right mix of skills and tools.
Measuring Success: Key metrics and benchmarks for evaluating AI project performance.