Thanks to Artificial Intelligence (AI), marketers have a massive opportunity to engage with the next generation of tech-inclined consumers. Clarify how AI is changing the way consumers interact with products and what this means for your company. Source practical tips to:
• Understand the hyper-customization of products
• Drive efficiencies in product development with AI
• Clarify how AI is aiding customer decision making
Leverage the future of AI to maintain your competitive advantage.
AI is changing the way companies operate. Technology strategy is directly tied to the mission and values of the enterprise. Attain practical strategies to embrace AI technologies in your organization amid changing market expectations. Master the success factors to:
Innovate your organization with AI solutions.
There’s a lot of hype surrounding AI. Get beyond the hype and find out what practical effects AI can have on your organization today. Gain expert insights to:
Identify real applications that AI can have on your organization today and in the near future.
Engage with leaders in the field of talent acquisition to expand your network and gain new perspectives. Quick rotations will help you break the ice as you get to know your fellow delegates. Bring your business cards, make new connections, and build your knowledge!
Implementing AI involves many departments, resources and people. As you embark on this essential journey, understand and mitigate the risks involved to ensure its success. Source practical tips to:
Protect your business by confronting the risks of AI.
A fundamental component of ensuring your data supports your goals is feeding the correct data into ML & AI processes. Perfect your strategy to provide useful data to AI systems. Develop a blueprint to:
Maximize the value of AI with a successful data strategy.
Manufacturing has been adept in embedding ML into processes. Avoid costly downtime by successfully deploying ML in your organization. Walk away with an action plan on:
Avoid costly downtime in your production pipelines with a successful ML deployment.
Machine learning applies algorithms that learn as they process data. Uncover hidden insights that your systems have not been expressly programmed to find. Create a plan to:
Reveal hidden insights in your data with the power of machine learning.
Guided, self-service analytics tools put the power of analytics in the hands of business leaders. Identify the tools you need to put the power of analytics in the hands of key decision-makers. Develop a plan to:
Maximize your ability to leverage data with self-service analytics.
Navigating the demands for qualified talent continues to be a challenge. Position yourself to compete for the next generation of skilled workers. Create an action plan to:
Develop a plan to attract and retain top AI talent
Chatbots have the ability to improve customer experience, but only if they are highly functional. Improve the way your chatbots interact with better NLP. Take away specific solutions to:
Develop better chatbots with the aid of improved natural language processing.
AI is being used by leading customer experience teams to transform personalization. Deliver real-time personalized experiences to your customers, informed by customer data. Master the success factors to:
Use AI to create a personalized customer experience.
Big Data and AI have become mainstream. Now, employees must develop the ability to communicate and understand conversations about data. Improve data literacy in your organization to maximize the business value of AI. Adopt best practices to:
Champion data literacy in your organization to become a data driven business.
AI is fundamentally changing the way we live and work. Move your AI adoption from start to scale to help your company maximize revenue, reduce costs and mitigate risk. Achieve a step-by-step action plan to:
Realize the benefits AI by mitigating risk.
Our reception gives delegates a final opportunity to mingle and network freely. The reception kicks off after the last session of the evening, a hugely popular social and networking event to meet your peers and share your industry insights.
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:
Harness the potential of AI & ML in today's complex world of business.
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:
Succeed in your AI projects by selecting the right vendor.
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:
Unlock the ROI of AI for your business.
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:
Drive revenue by engaging employees with AI.
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:
Leverage your data platforms for process improvements.
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:
Increase your business agility with intelligent automation.
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:
Transform your enterprise with machine learning infrastructure.
Unplanned downtime impacts the bottom line. Harness AI to perform maintenance proactively and reduce cost. Go back to the office with strategies to:
Reduce your unnecessary downtime with predictive maintenance.
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.
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:
Leverage data visualization tools to better communicate your business insights.
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:
Create meaningful and accurate insights with proper AI model development.
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:
Successfully plan and implement your organization’s AI & Digital Transformation.