Artificial intelligence isn't just a buzzword, it's a reality and it has the ability to drive real business results. Hear how AI can improve your customers' experiences. Create a plan to:
Leverage your data using AI to improve the experiences of your customers.
Machine learning applies algorithms that learn as they process data. Use this technology to 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.
Most companies are sitting on mountains of data, but that data needs to be transformed into meaningful insights. Leverage your data to create a customer-centric organization. Develop a strategy to:
Better serve your customers by converting data into actionable insights.
Predictive analytics allow you to identify and exploit opportunities, while prescriptive analytics takes it to the next level: prescribing a range of actions and potential outcomes. Using these analytical tools can help you make better business decisions. Source insights to:
Leverage predictive and prescriptive analytics to make better 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.
Businesses are eager to take advantage of big data, but the legal implications are unclear to many. Understand how your organization can take advantage of big data while staying on the right side of Canadian laws and regulations. Gain insights on:
Source insights on how Canadian law treats your use of big data.
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.
Most organizations deal with internal and external data from a variety of sources. Overcome these challenges to make the most of your data. Gain insights on how to:
Use heterogeneous data to better inform business decisions.
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.
Data and analytics can provide essential insights to the wider business, but only if they are understood. Better communicate your data to support business decisions. Develop a plan to:
Inform the wider business about data and analytics to provide actionable insights.
As we enter the “Internet of Things” era, the increased availability of 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.
Spending and saving is a rich area of exploration for big data studies. What’s missing is an exploration of people’s attitudes about spending and saving, as well as their behaviours leading up to those actions. In this session, source insights on:
Source a strategy to leverage big data and behavioural science to drive business results.
Guided, self-service analytics tools put the power of analytics in the hands of business leaders – not just the data scientists. 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.
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:
Turn your data into profits by exploring the latest trends in the field.
The drive towards customer-centrification dictates the need for a technological environment that enhances customer relationships and, above all, works to strengthen customer loyalty. Monitor and track your customers' omni-channel interactions in real time to optimize the customer journey. Create a strategy to:
Create a customer-centric organization using predictive analytics.
Data, even when analyzed, is valueless, unless it can be understood and used by business leaders and frontline workers. Employ visualization to improve the way data is communicated so it can be better used across the business. Source practical tips to:
Improve the way you communicate data through visualization.
The effectiveness of a big data project depends on the support of the organization as a whole. Work with stakeholders in your organization to ensure your program’s success. Walk away with a plan to:
Ensure that your data and analytics programs are supported across the organization.
Implementing a big data program in a technically challenging undertaking. Identify common problems and work with your peers to develop solutions based on your collective experience. Work together to develop best practices for the technical side of big data programs. Source strategies to:
Gather technical insights from big data leaders.
The forecasted regulations and competition pressures enforce banks to carefully comply with risk factors. Explore how you can employ machine learning and big data methods to extract risky components. Achieve a step-by-step action plan to:
Take away experienced insights to help you make the right de-risking and onboarding decisions.
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 it grows. Source a framework to:
Improve your operations and business outcomes through an efficient, scalable and agile platform.
An effective big data program requires collaboration across business units. But unfortunately, many organizations are dealing with silos in which knowledge is not shared across units. Gain insights from your peers as you work collaboratively to identify the causes of silos and source best practices for breaking them down. Develop a plan to:
Make the most of your data with improved data sharing and collaboration.
Moving a company into Data Analytics is a monumental task. Reduce your anxiety with insights from someone who’s been down this bumpy road. Discover practical tips to:
Take away a roadmap to help begin your journey to making informed business decisions.
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.
The analytics talent race is underway. Organizations globally are competing for top-tier analytics and data science talent, and acquiring the right people for your organization can seem impossible. Learn how MLSE has built their data analytics/science practice with a focus on:
Take away specific and practical solutions for navigating the analytics talent shortage.
Many small businesses and organizations struggle to access the resources, knowledge, and infrastructure to capture, collect and analyze data in meaningful ways. Small communities may be in a better position to collaborate to fill these gaps in ways they don’t often realize.
Learn how to build a data ecosystem that:
You will discover how a small Canadian City is building on its industrial and innovative past by harnessing the power of data and partnerships.
Membership organizations have long relied on personal interactions for member engagement while employing consulting firms to perform advocacy analyses. Optimize data and analytics to increase your member value and enhance your ability to influence policy-makers. Gain insights on how to:
Take away expert perspectives to inform your own data strategy.
Blockchain – the technology behind bitcoin – is getting a lot of attention in the world of financial services, but its potential extends to virtually all industries. Explore what blockchain will mean for big data and your industry. Gain insights on:
Develop a strategy to make blockchain work for your organization.
From enhancing business intelligence to chatting with customers, AI is already transforming the way organizations operate. Take advantage of the biggest technological revolution of our lifetime to improve your business. Create a plan to:
Do more with your resources using the power of AI.
Machine learning allows computers to learn without being explicitly programmed. This can allow your computers to work independently, processing more data than you ever could manually. Develop a plan to:
Apply machine learning to improve the way you process data.
An analytics program is only as good as the team that supports it. Ensure the success of your program by assembling a team of analysts, data scientists and others with the right skill sets and develop a strategic plan to achieve results. This workshop will address the following practical topics:
Improve business results by assembling an advanced analytics team.