Future of People Analytics for Businesses Summit 2024 | Group Futurista | 9 April 2024 | TBA, Austin, Texas, USA

This summit is a cutting-edge event that highlights the latest trends and developments in people analytics. The primary objective of the event is to integrate the best business practices into everyday operations. Renowned experts from international brands will share their insights into a cohesive set of capabilities that enable organizations to accurately achieve their goals, overcome uncertainty, and act with integrity. The summit serves as a platform for industry leaders to discuss and showcase the trending points in people analytics, providing a valuable opportunity for businesses to learn and implement the latest strategies and advancements in their daily operations.

• Explainable Ai and Interpretability
Explainable AI (XAI) and interpretability have emerged as critical topics in predictive analytics. As machine learning models become more complex, there is a growing need to understand and interpret their decisions, especially in high-stakes applications such as healthcare and finance. Explainable AI focuses on developing techniques and tools that make the decision-making process of AI models transparent and understandable to users. This topic addresses the need for model transparency, enabling stakeholders to comprehend how predictions are made and ensuring that the models' decisions align with ethical and regulatory standards. By enhancing interpretability, organizations can build trust in AI systems and improve the accountability of predictive models.
• Ai Ethics and Bias Mitigation
With the widespread adoption of AI and predictive analytics, the ethical implications of these technologies have come to the forefront. AI ethics and bias mitigation in predictive analytics involve addressing the ethical considerations and potential biases that can arise within predictive models and algorithms. This includes developing frameworks and guidelines to ensure fairness, transparency, and accountability in predictive analytics. Techniques for identifying and mitigating biases in data and algorithms, as well as promoting responsible and ethical use of predictive analytics, are essential components of this topic. By prioritizing AI ethics and bias mitigation, organizations can build more trustworthy and inclusive predictive models while meeting regulatory and social responsibility standards.
• Time Series Forecasting and Predictive Maintenance
Time series forecasting and predictive maintenance have gained prominence as critical applications of predictive analytics, particularly in industries such as manufacturing, energy, and transportation. Time series forecasting involves using historical data to predict future trends and patterns, enabling organizations to make informed decisions and plan for the future. Additionally, predictive maintenance utilizes predictive analytics to anticipate equipment failures and schedule maintenance proactively, reducing downtime and optimizing asset performance. Leveraging advanced techniques, including deep learning and recurrent neural networks, organizations can enhance their ability to forecast and manage time-dependent data, leading to improved operational efficiency and cost savings.

Why Attend:
• Comprehensive agenda
Innovative keynotes delivered by the industry's true heavyweights, covering practical challenges and subjects which are exclusively entailed in our agenda. Gain subject matter expertise, network, and collaborate to explore solutions that shed light on future business models impacting revenue inflows.
• Boost Your Business
Futurista Start-up Elevate is a dedicated platform for Startups and VCs. We offer industry-specific startups a showcasing opportunity, enabling them to connect with corresponding VCs and Mentors. A win-win dynamic is created to attain the desired exposure for startups who are looking forward to scaling up their businesses.
• Intelligent Event Experience
A smart application will help you connect with key decision makers, share files, brainstorm ideas, and have a seamless networking experience. A comprehensive module covering the entire event, compiled for training purposes, to be made available post-conference, exclusively for the attendees.

Who Should Attend:
• CXO, VP, Director, and Head of:
• People Analytics
• People Analytics & Strategy
• People Insight and Analytics
• People Strategy
• Workforce Planning & Analytics
• Success Analytics
• People Analytics and System
• People Analytics Reporting & BI
• HR
• Culture
• Strategy
• Analytics and Operations
• People Engagement
• People Operations
• Talent & Organizational Development
• People Development & Learning
• Simplicity & Analytics

Topics we cover:
• Predictive Modeling
• Employee Sentiment Analysis
• Diversity Metrics
• Workforce Planning
• Machine Learning
• Performance Analytics
• Talent Optimization
• Natural Language Processing
• Organizational Network Analysis
• Predictive Retention
• Hr Data Visualization
• Employee Engagement
• Succession Planning
• People Risk Management
• Behavioral Economics
• Compensation Analytics

2024 Speakers

Michael "Andy" Nanasi
Global Director People Analytics, Caterpillar Inc.

Andrew Westbay
Director of People Analytics, BDO USA

Helen Castor
Talent Intelligence Director (Talent Mgmt)/People Analytics, Softtek

Whitney (Youzva) Michel
Director, HRIS & People Analytics, Fay Financial

Melissa Lee
Director People Analytics, AT&T

Nick Echevarria
People Analytics Director, Ericsson