AI For Leaders: A Better Way – Practical AI Implementations for Productivity Optimization

  • 11-19-2024
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Join us for an exclusive online seminar, “AI For Leaders: A Better Way”, where industry leaders will share practical insights on how AI is transforming businesses to optimize productivity, enhance efficiency, and drive growth. This seminar is designed for C-level executives, Medical Professionals and decision-makers looking to leverage AI for strategic advantage.

Schedule:

9:00 am - 9:05 am

Welcome

Simone Pasmore Simone Pasmore
9:05 am - 9:20 am

Co-Pilot for Productivity

Focus: How Microsoft Copilot can revolutionize daily productivity tasks. • Email Management: Demonstrate how Copilot can assist in streamlining inbox management by prioritizing important emails, summarizing long threads, and even drafting responses. • Daily Planning and Task Automation: Show how Copilot helps with planning the day efficiently by auto-scheduling tasks, setting reminders, and providing a summary of daily or weekly goals based on email or calendar activity. • Document Creation: Examples of how Copilot assists in drafting reports, presentations, and managing team collaboration through Microsoft Office tools
Annitra Boodoo Annitra Boodoo
9:20 pm - 9:35 pm

3. Copilot in Business Analytics

Focus: Using Microsoft Copilot for business analytics by leveraging internal company data. • Internal Data Analysis: Showcase how Copilot can analyze internal data such as sales reports, customer data, and financials to offer actionable insights without needing deep technical skills. • Predictive Models: Discuss Copilot's capability to create predictive models based on existing internal data, improving decision-making in areas like marketing, sales, and inventory. • Real-World Application: Share examples of how businesses have successfully utilized internal data with Copilot for making faster, data-driven decisions.
Paul Marshall Paul Marshall
9:35 am - 9:50 am

What is Custom AI in Productivity Optimization?

Explanation of AI in the context of automating and optimizing workflows Key productivity challenges businesses face today How custom AI solutions can transform routine operations to improve efficiency
Rory Burchenson Rory Burchenson
9:50 am - 10:05 am

Breakout Session 1: Identifying Bottlenecks in Productivity

9:50 am - 10:15 am

Short Break

10:15 am - 10:30 am

Demand Forecasting: The Power of Historical Sales Data & External Data Sources

o Why accurate demand forecasting is crucial for profit Margins & Supply Chain o Using historical sales data to build AI models o Real-world case study on how businesses improve forecasting precision
Simone Pasmore Simone Pasmore
10:30 am - 10:45 am

Breakout Session 2: Demand Forecasting Accuracy & Challenges

10:45 am - 11:00 am

AI-Driven Decision Making: Productivity & Efficiency

o How AI-based recommendations can streamline operations and boost productivity o Automating decision-making with AI for inventory management, staffing, and resource allocation o Case studies demonstrating productivity gains through AI-driven solutions
Zia Paton Zia Paton
11:00 am - 11:15 am

AI & Contracts: Where is the dotted line

o Automated Contract Drafting: the risks and opportunities o Navigating the assignment of liability & indemnities in contracts for AI-based products & services o Legal considerations when delegating AI-managed obligations between parties o Embedding ethical considerations in contract
Rachel Welch-Philips Rachel Welch-Philips
11:15 am - 11:45 am

Break out Session 3: Building an AI Strategy for Productivity Optimization

11:15 am - 11:30 am

Breakout: AI for Medical Practice

Jennifer Gogova Jennifer Gogova
11:30 am - 11:45 am

Breakout Activity: AI for Medical

Jennifer Gogova Jennifer Gogova
11:30 am - 12:10 pm

Questions And Answers

Zia Paton Zia Paton
Annitra Boodoo Annitra Boodoo
Rory Burchenson Rory Burchenson
Rachel Welch-Philips Rachel Welch-Philips
Paul Marshall Paul Marshall
Simone Pasmore Simone Pasmore
12:10 pm - 12:20 pm

Conclusion & Resources

Speaker

Jennifer Gogova

Msc. Information Tecnology - Digital Transformation of Health Care using AI

Zia Paton

Digital Services Leader - PWC

Annitra Boodoo

Solution Area Specialist - Microsoft

Rory Burchenson

Chief Data and Privacy Officer Grace Kennedy Financial Group

Rachel Welch-Philips

Head of Legal and Corporate Secretary - Ansa Merchant Bank

Paul Marshall

CEO JP Marshall Associates

Simone Pasmore

MSc. Computer Science - CEO Webstylze Ltd

frequently asked questions

Who Should Attend?

CEOs, COOs, and CTOs Business Development Leaders Medical Practitioners and Clinic Managers IT Executives and Managers This is a must-attend event for business leaders aiming to harness the power of AI to transform their organization’s efficiency and productivity.

Event Highlights

Expert Presentations: Hear from industry experts and AI specialists who have successfully implemented AI to optimize business operations. Interactive Breakout Sessions: Collaborate with peers in breakout discussions focused on real-world applications of AI in productivity, demand forecasting, healthcare, and governance. Q&A and Networking: Engage directly with AI leaders and fellow executives during the Q&A session and network with professionals across industries.

Key Topics

Custom AI for Productivity Optimization: Learn how AI can streamline operations and automate routine tasks, boosting productivity. Demand Forecasting with AI: Discover how AI models use historical sales data and external databases to deliver more accurate demand forecasts. AI for Medical Practitioners & Clinics: Explore the role of AI in enhancing patient care, streamlining appointments, and supporting clinical decisions. AI Governance: Understand the ethical considerations, governance frameworks, and regulatory best practices for implementing AI responsibly. AI Co-Pilot for Everyday Use: Discover practical applications of AI in day-to-day business activities, such as summarizing emails, identifying key action points, and optimizing workflows in tools like Microsoft Word.

Organizer:

Simone Pasmore

  • Time : 9:00 am - 12:20 pm (UTC-4)
  • Registration Deadline : 11-19-2024

Registration Deadline Expired!!