Enterprise-wide AI programs are no small investment. Ensure meaningful returns on this investment with a strategy to support AI and machine learning. Develop a plan to:
Make your AI and machine learning program a success with a strategic plan.
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.
Recent advances in AI and ML have led to the development of innovative solutions and capabilities for a variety of sectors such as Sales and Marketing, Financial Services, Automotive Industry and Healthcare Providers. Common goals and objectives pertaining to these domains are, respectively, ‘I want to make more money,’ ‘I want to have more clients,’ I want to develop a self-driving car,’ ‘I want to improve the health of my patients.’ Achieve these goals by:
Create autonomous business solutions with the support of AI and ML.
AI and ML research is advancing at a steady clip, but organizations often struggle to put these theories into practice. Create a plan to transform theory into profitable projects. Source insights to:
Make AI and machine learning a profitable part of your business strategy.
AI and ML programs can only succeed if your organization buys into them. Launch your programs with proper organizational support to ensure long-term success. Create a plan to:
Create a successful AI/ML program by developing organizational buy-in.
Financial data offers incredible insights into your business operations, but only if you can process it into meaningful information. Use AI to process this data more efficiently to uncover valuable strategic information. Leverage AI to:
Make better business decisions by extracting meaningful information from financial data with AI.
As more data is put into autonomous applications, it raises concerns about data security and privacy. Ensure that your data is protected. Sources expert insights to:
Ensure the protection of data and privacy of individuals when using AI.
Companies that are quick to respond to government policy changes, domestically or abroad, can gain a first mover advantage. Apply machine learning to predict policy changes before they happen, to create a competitive advantage. Develop a method to:
Develop a competitive advantage by anticipating government policy changes.
To impact your bottom line, AI projects should have clear financial targets. Develop and monitor targets to make the most of your AI investments. Create a plan to:
Improve the ROI of your AI investments to ensure they’re generating value.
Making the move from analytics to AI isn’t without its challenges. Hear how one organization has successfully made this transition. Create a roadmap to:
Develop a plan to successfully make the journey from analytics to AI and machine learning.
Each and every day, millions of people on Twitter reach out to brands looking for help. The opportunity to answer questions, engage in conversations, and respond to concerns in real time, 24/7 demands a new approach to customer care. Consumers insist on speed, transparency, and accuracy but that’s not easy at scale. Today, only 40% of Canadians say they see good customer service on social media, yet nearly 2/3 say the service they receive impacts their future purchase behaviour. This session will share:
Leverage chatbots to meet consumer’s needs and improve customer engagement.
AI and machine learning can be expensive investments, but they needn’t be. Identify low-cost initiatives that can make an impact on your business. Develop a strategy to:
Develop affordable AI/ML projects to drive business results.
Many non-profit regulatory bodies face a pressure of being an effective and efficient regulator but having limited funding. In order to achieve its organizational objectives and meet KPMs, organizations must take advantage of collected data and use machine learning to identify trends, patterns and certain indicators that are crucial in making informed decisions about the future. Take back to your office strategies to:
Take away practical ideas that you can apply to your organization on how to introduce proactive approach toward regulation and foster a data-driven culture.
Chatbots have the ability to improve customer experience and free up employees, but only if they are highly functional. Improve the way your chatbots function with better NLP. Gain insights to:
Develop better chatbots with the aid of improved natural language processing.
Canada’s AI strategy places a strong emphasis on collaboration with research institutions. Take advantage of Canada’s strong network of AI researchers to drive real business results. Source best practices to:
Take advantage of Canada’s AI research leadership to drive business results.
Passenger air travel is expected to double across the globe over the next 20 years. How can airlines plan for this increased demand, while both controlling costs and providing innovative solutions that truly make air travel better. Learn how airlines can invest in Artificial Intelligence technologies to meet this demand. Look at Artificial Intelligence technologies to:
Apply AI to improve guest experience, increase revenue and improve productivity.
By one estimate, there are only 10,000 people in the world with the expertise to create machine learning systems. Overcoming the shallow AI/ML talent pool requires creativity. Gain expert insights to:
Give your AI/ML strategy a proper foundation by building a strong team to support it.
The mineral exploration business is data-rich. But the industry is currently frozen by the thought of what to do with it. Hear how a leading company is using big data in the mineral exploration process by interconnecting traditional geoscience and machine learning. Source expert insights on:
Explore less and find more through the power of machine learning.
The legal landscape in a fast-moving field like AI can be unclear. Get the clarity you need to make business decisions. Gain insights to:
Gain an understanding of the legal landscape for AI in Canada to inform business decisions.
Today, experiential learning doesn’t apply just to humans — machines are increasingly able to sense, reason, act and adapt based on learned experience. Create a framework to teach your AI to be smarter. Develop a plan to:
Develop better AI by teaching machines using psychological principles.