Big data is a fast-moving field with constant innovations and new opportunities. Stay on top of the latest trends to help your organization monetize big data. Gain insights to:
Source key insights from c-suite data leaders to transform your organization
Edge computing allows you to process the data close to its source, rather than at a centralized location. This gives you the potential to leverage the power of the Internet of Things. Create a plan to:
Process data more efficiently through the power of edge computing.
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.
Data lakes have the potential to improve access to data and increase the speed of analysis. Explore how your organization can use a data lake to turn data into actionable insight. Source an action plan to:
Analyze your data quickly and make insights accessible with data lakes.
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.
As we enter the “Internet of Things” era, the increased availability data allows you to perform maintenance proactively. Embrace predictive maintenance to maintain your productivity and avoid lost revenues. Go back to the office with strategies to:
Reduce your unnecessary downtime with predictive maintenance.
Data can provide essential insights to the wider business when employees have access to them. Empower employees by giving them access to data and analytics. Develop a plan to:
Empower employees with data to drive your organization.
As the size of the data you store increases, so does the potential damage of a breach. Develop a strategy to keep your data out of the hands of cyber attackers. Source best practices to:
Keep your data out of the hands of cyber attackers with appropriate security measures.
In order to receive support, big data programs must be able to show the value that the core business derives from them. Make the case for your big data program in cold, hard numbers. Take strategies back to your office to:
Show the costs and benefits of your big data program to develop organizational support.
Every organizations journey to AI will be different, however, key principles still exist. Collecting your data to make it simple and accessible; organizing your data so that it’s built on a trusted foundation; analyzing your data to provide the insights on demand and modernizing your data to make it ready for the Cloud and AI remains unchanged. Hear use cases on how data science, machine learning and other open source tools have been leveraged to build winning data, analytics and AI strategies. Alyse will share new ways to unlock the value of your data and accelerate your journey to AI.
Organizations today are looking into how consumer, social media, and web traffic data can help drive business. However, companies need to be aware of the backlash involved and the privacy concerns that are brought to the forefront of big data discussions:
Be proactive: create big privacy for big data.
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.
As you build your big data and analytics program, you must be prepared for your needs to change. Develop a program that can adapt as your program grows. Source a framework to:
Improve your operations and business outcomes through an efficient, scalable and agile platform.
The demand for qualified big data experts has outpaced the labour supply. Position yourself to compete for the best and brightest in the field. Create a plan to:
Develop a plan to attract and retain top big data talent.
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.
The true value of big data is found when it is applied to drive business improvements and increase revenues. Unleash the potential of big data to improve your profits. Source original strategies to:
Convert your data into profitable business intelligence.
Implementing big data and analytics is a high-level strategic undertaking. Take an enterprise-wide approach as you develop a big data and analytics strategy. Walk away with a proven plan to:
Develop your competitive advantage with a well thought-out big data roadmap.
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.
Take advantage of Canada’s strong network of data researchers to drive real business results. Source best practices to:
Partner with the academic world to drive business results.
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.
The City of Brampton has built and deployed several analytical solutions including interactive dashboards, data warehouse and master data. These solutions are bringing numerous benefits to Brampton’s constituents and staff such as more reliable public transportation, ridership increase, reduction in complains, faster service request resolution, faster response to complaints, increase in recreation programs enrolment, etc.
This session will show the journey to Brampton’s information and analytics depicting how it was done, what was done, who did it, which solutions were delivered and which tools were used.
Big data projects don’t need to be expensive. Explore cloud options to develop big data solutions that can scale.
Source insights to:
Use cloud tools as a cost effective way to test environments and deploy sophisticated big-data tools.
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.
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.