Agenda - Day 2

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7:30 am

7:30 am

Registration and Breakfast

8:15 am

8:15 am

Opening Remarks from the Chair

8:30 am

8:30 am

KEYNOTE

Harnessing the Potential of AI to Drive Profit

AI and ML capabilities are helping businesses drive profit and connect with consumers. Address what it takes to leverage their potential effectively, responsibly and reliably. Create a roadmap to:

  • Find profit-driven opportunities to take advantage of machine learning
  • Navigate the AI era
  • Stay safe as your company innovates

Harness the potential of AI & ML in today’s complex world of business.

9:00 am

9:00 am

INDUSTRY EXPERT: CHECKLIST FOR VENDOR SELECTION

Asking the Right Questions to Select an Appropriate External AI Vendor

Although AI offers exciting possibilities, selecting a vendor to partner with is tricky. Tackle critical questions, including who owns the data? What’s the right level of partnership with them? Understand how to set expectations and help select the right provider for your organization. Develop a blueprint to:

  • Provide the right information in your RFP
  • Understand the top considerations when choosing a provider
  • Reduce risk, complexity and cost when implementing an AI product

Succeed in your AI projects by selecting the right vendor.

9:30 am

9:30 am

CASE STUDY: ROI

Unlocking the ROI of Artificial Intelligence: Key Considerations for Business Leaders

Most business investments are approved based on predicted returns; however, estimating future returns for AI projects can be challenging. Transform how you identify ROI metrics to understand the return generated from AI projects. Create a roadmap to:

  • Measure AI ROI
  • Assess ROI in phases
  • Budget for AI projects and determine the level of investment

Unlock the ROI of AI for your business.

10:00 am

10:00 am

Morning Break

10:30 am

10:30 am

CASE STUDY: DIGITAL CULTURE

Creating the Right Culture and Gaining Buy-In from Employees

Employees often feel threatened by new technology and it’s potential to streamline processes to a point where staff are redundant. Gain buy-in from employees by helping them understand the benefits of AI and how it will help improve the business. Master the success factors to:

  • Persuade employees of the benefits of AI
  • Use AI for employee collaboration
  • Engage employees with insights from AI systems

Drive revenue by engaging employees with AI.

11:00 am

PANEL DISCUSSION: PLATFORMS

Utilizing Data Platforms for Systems and Process Improvements

There is a growing demand for better use of data analytics to improve services. Use managed data platforms as a foundation for Business Intelligence, data mining, and advanced analytics. Source practical tips to:

  • Implement best practices of bridging the data gap to improve system performance
  • Harness the power of machine learning and predictive analytics
  • Ensure the proper governance of your data

Leverage your data platforms for process improvements.

11:00 am

PANEL DISCUSSION: LEGACY VS ML SYSTEMS

Overcome Legacy Infrastructure Challenges to Streamline your ML Implementation

Large enterprises often have legacy systems which pose a challenge to ML implementation. Overcome the hurdles traditional infrastructure presents to streamline your ML journey. Take back to the office strategies to:

  • Identify the challenges legacy systems pose to your ML roll-out
  • Implement best practices to accelerate machine learning models
  • Overcome common hurdles in upgrading your legacy systems

Transform your enterprise with machine learning infrastructure.

11:45 am

INDUSTRY EXPERT: INTELLIGENT AUTOMATION

Utilizing Intelligent Automation to Increase Business Agility

Robotic Intelligent Automation provides businesses with the capability to operate more efficiently. Do more with less by adopting intelligent automation in your organization. Talk away with an action plan to:

  • Raise operational efficiency
  • Improve product quality and service
  • Power new business process models

Increase your business agility with intelligent automation.

11:45 am

INDUSTRY EXPERT: PREDICTIVE MAINTENANCE

Employing Predictive Maintenance with Big Data to Avoid Costly Downtime

Unplanned downtime impacts the bottom line. Harness AI to perform maintenance proactively and reduce cost. Go back to the office with strategies to:

  • Integrate IoT data sources to improve maintenance decisions
  • Monitor equipment and facilities in real time to anticipate maintenance needs
  • Establish a maintenance policy based on data

Reduce your unnecessary downtime with predictive maintenance.

12:15 pm

12:15 pm

Networking Lunch

1:30 pm

1:30 pm

AFTERNOON KEYNOTE

Laying the Groundwork for a Successful Data Strategy to Maximize the Value of AI

A fundamental component of ensuring that your data supports your organization’s AI goals is having the correct data fed into ML & AL processes. Perfect your strategy and programs to provide useful data to AI systems. Develop a blueprint to:

• Creating data strategies necessary to support your business strategies
• Developing strategies for the best use of legacy data with quality defects
• Understanding the limitations with your data (bias, ethical and regulatory)

Maximize the value of AI with a successful data strategy.

2:00 pm

2:00 pm

INDUSTRY EXPERT

Utilizing AI Data Visualization Tools to Better Understand your Business Insights

Data needs to be understood by almost all employees in an organization, from leaders to front line workers. Employ practical visualization tools to improve the way data is understood it can be better used across business units. Source practical tips to:

  • Transform complicated data sets into easily understood graphics
  • Easily tell the story of the data with clear visualizations
  • Uncover hidden insights from text content

Leverage data visualization tools to better communicate your business insights.

2:30 pm

2:30 pm

Afternoon Break

3:00 pm

3:00 pm

CASE STUDY: THE HOSPITAL FOR SICK CHILDREN

Leveraging AI Model Development to Create Meaningful Insights to Improve Organizational Outcomes

Incorporating ML into traditional data infrastructure is becoming widespread throughout multiple industries. Create meaningful and accurate insights from your data with machine learning. Source practical tips on:

  • Proper methods to evaluate your machine learning models
  • Identify model bias and the potential impact it has on your models’ performance
  • The pre-emptive measures to take to ensure your model is delivering the right results

Create meaningful and accurate insights with proper AI model development.

3:30 pm

3:30 pm

CASE STUDY: LG ELECTRONICS

Avoid AI Failure by Implementing an AI Transformation Playbook

Developments in AI are pushing digital enterprises to become intelligent enterprises. Avoid the pitfalls of implementing a flawed AI transformation in your organization. Take away an action plan to:

  • Mitigate the complex journey of why AI transformations fail
  • Deal with the AI transformation playbooks
  • Undertake a successful AI Transformation

Successfully plan and implement your organization’s AI & Digital Transformation.

4:30 pm

4:30 pm

Closing Remarks from Chair

4:35 pm

4:35 pm

Conference Adjourns

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