Predictive Analytics and AI in Excel

Overview:

Predictive Analytics and AI in Excel is designed to revolutionize your approach to data analysis by integrating advanced augmented analytics tools directly into your familiar spreadsheet environment. This webinar delves into the transformative power of AI within Excel, illustrating how features like the Analyze Data tool, XLMiner add-in, and optical character recognition can significantly enhance your ability to manage and interpret complex data sets. You'll explore how to overcome the limitations of traditional Excel, such as handling large, unstructured, or real-time data, by leveraging AI and machine learning technologies.

Participants will gain hands-on experience in using these powerful tools to generate AI-driven insights, build predictive models, and perform sentiment analysis. You'll learn how to convert image-based data into editable formats, apply Azure Machine Learning for text data evaluation, and understand the critical role of data schema for AI effectiveness. By the end of this webinar, you'll be equipped to make more informed business decisions, enhance your strategies, and stay ahead in a competitive market by fully utilizing the AI-enhanced capabilities of Excel.

Why you should Attend:

In an increasingly data-driven world, failing to leverage the full potential of tools like Excel can put your business at a severe disadvantage. Traditional Excel skills are no longer enough to keep up with the complexity and volume of today's data. By not adopting augmented analytics and AI capabilities within Excel, you risk falling behind competitors who are using these advanced features to gain critical insights and drive their decision-making processes. Imagine missing out on valuable opportunities because your data analysis methods are outdated and inefficient.

Attending this webinar on Predictive Analytics and AI in Excel is not just an option-it's a necessity. Without understanding how to use AI-powered tools such as the Analyze Data feature, XLMiner, and Azure Machine Learning, you may find yourself overwhelmed by the sheer volume of data your business generates. This could lead to missed trends, poor decision-making, and ultimately, a loss of competitive edge. Don't let your business be left in the past; join us to equip yourself with the knowledge and skills needed to navigate and thrive in the evolving landscape of data analytics.

Areas Covered in the Session:

By the end of this webinar, you’ll understand:

• The concept of augmented analytics and its role in the future evolution of Excel in a data-driven world
• How the growing complexity of data impacts the functionality and applicability of Excel in business and analytics
• The limitations of traditional Excel in handling large, unstructured, or real-time data and the importance of AI and machine learning in overcoming these challenges
• The enhancements brought by augmented analytics features like the Analyze Data feature, XLMiner, and optical character recognition in Excel
• The process of conducting sentiment analysis within Excel using Azure Machine Learning and the implications of AI integration in traditional spreadsheet software

• Use augmented analytics tools within Excel to handle and analyze complex data sets more efficiently
• Apply the Analyze Data feature in Excel to generate AI-powered insights from structured data
• Build predictive models using the XLMiner add-in, understanding its interface and capabilities within Excel
• Utilize optical character recognition to convert image-based data into editable spreadsheet formats for further analysis
• Perform sentiment analysis using Azure Machine Learning to evaluate text data directly within Excel, understanding the importance of data schema for AI effectiveness
• Assess and interpret the output from these AI-enhanced tools to make informed decisions and enhance business strategies

Who Will Benefit:

• Data Analysts
• Business Analysts
• Financial Analysts
• Data Scientists
• Marketing Analysts
• Operations Managers
• Project Managers
• IT Professionals
• System Administrators
• HR Analysts
• Sales Analysts
• Strategy Consultants
• Supply Chain Analysts
• Product Managers
• Research Analysts