Optimized Data & Analytics

Chairpersons welcome and opening remarks.

In this session, the panelists will talk about the real-world applications of data science in airspace operations. AI/ML can improve the ground and airspace operations by enhancing the accuracy of current decision-making tools used by the airlines and the Federal Aviation Administration (FAA) to manage traffic on the ground and in the air. Huge amount of data gets collected during a flight. AI/ML methods can extract information from this data and provide valuable insights to make better operational decisions. NASA is working with FAA and airlines and has successfully demonstrated the benefits of using AI/ML in real world environment by reducing delays and optimizing ground operations at the US airports. In 2022 itself, NASA demonstrated real-world benefits (over 24K lbs. of fuel savings, over 76.6K lbs. CO2 emission savings, and several hours of delay savings) by deploying ML based prediction models to optimize ground operations at Dallas/Fort Worth International and Dallas Love Field Airports in Texas. We will share insights and learnings from this research initiative.

In this talk Taylor will discuss the applied AI journey that has been seen in the platform space, starting with early heroics and now ending up with wide-scale democratization. Taylor will share perspective and successful processes learned at Dataiku that have enabled companies like GE Aviation and many others to deploy 1000s of models responsibly. Towards the end of the talk Taylor will show off some of the latest breakthroughs with generative algorithms and discuss what this means for platform companies and the future of work.

• Identifying and breaking down silos across departments and business data stacks.  
• How to maximise data sets and data pipelines.    
• Aligning data with specific business goals – making use of insights for targeted business e.g. seasonal buying cycles and customer demand. 
• Collection, storage, exchangeability and security – how to ensure optimised processing of data for optimum response and actions.  

• How GPT and other LLMs can be leveraged to create a conversational AI assistant for data analysis 
• Empowering business users to unlock valuable insights from your data – both structured and unstructured 
• Using generative AI and automated analytics to create a continuous cycle of data-driven insights for your organization 
• See a live demo of these concepts in action!  

To follow soon …

• Uncovering business opportunities through competition monitoring facilitated by public web data intelligence.
• An effective top-down strategy for data operations that maximizes value and yields insights into the competitive landscape.
• How machine learning is changing core data collection processes and solves the most pressing data collection issues.
• An in-depth look at the pros and cons of using in-house versus outsourced data collection tools and the rationale behind each approach.

• The world of data is rapidly changing, and using predictive AI across your organization is essential to staying ahead of the curve.
• In this revolution, your data is your competitive edge, and now is the time to take advantage of it by using AI to leapfrog the competition.
• Discover how AI can empower anyone to prepare, explore, and build ML models with their data – increasing productivity and informed decision making.
• Using employee attrition as a demo, we will showcase how predictive AI can be used to predict and prevent employee turnover, saving your organization time and money while improving employee satisfaction.

• What types of external data are in use today.
• How firms are finding the right data in real-time.
• How firms manage all their data and ensure it gets into the hands of end users to make smarter decisions.
• How ChatGPT and AI are driving demand for external data.

• How to get the most out of real time intelligence – what process need to be in place to aid this?
• Tackling the issues around legacy systems and the lack of available data for intelligent decision making – what are the current market solutions that can help?
• How being adaptable can lead to optimised services, reduced downtime and in some industries, help save lives.
• Taking the next steps to semi and fully autonomous systems enabling advanced analytics.