Location data is complex and can be overwhelming. How can you effectively leverage this privacy-compliant location data to enhance your customer insights? In this session we’ll share several use cases to demonstrate how organizations are applying mobile analytics to answer key business questions. These applications will highlight:
• The unique characteristics of mobile analytics that make it a highly valuable and exciting resource for generating consumer insights—whether you have customer data or not
• How mobile analytics can help retailers, shopping centres, municipalities and others better understand their consumers without the need for implementing costly loyalty programs
• New techniques to gain insights on the competition and how their customers differ from your own
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.
Capital Markets Trade Surveillance relies mainly on human judgment and manual processes to identify potential fraudulent activities. To overcome these challenges and inefficiencies, Alithya proposed CIBC adopt a machine learning (ML) approach for their trade surveillance. In 2018, CIBC’s Advanced Trade Surveillance system was completed, and representatives from both Alithya and CIBC will share:
The manual processes within the financial industry will be transformed by the power of artificial intelligence.
Learn about the challenges and benefits of adopting machine learning to augment your manual processes.
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.
Artificial intelligence (AI) has received a lot of attention over the years. Most AI schemes depend on the availability of big data. However, using AI algorithms on large datasets requires a good understanding of their requirements and limitations. In this talk, we will explore the potentials and challenges of AI technologies in order to attain a realistic grasp on how we could employ them for real problems efficiently.
The City of Brampton has build 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 enrollment, etc.
By using leading edge tools and systems, the City has been able to deploy an impressive cloud based information hub allowing to rapidly consolidate applications and data and build dashboards and analytics with more agility and flexibility. We collect, clean, match and merge data from over 20 difference sources and persist them into Enterprise Data Warehouse and Master Data Management.
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.
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 new research insights and tips and tricks for how to improve engagement with your customers, including a consumer-focused deep dive into the world of chatbots - how they can help and what impact they have on customer care.
Today, the financial industry is undergoing tremendous changes due to the rapid advancement of technology. Numerous financial innovations are enabled by emerging technologies like Artificial Intelligence, Blockchain, cloud-computing and etc. Digital finance is considered to be the next-generation finance ecosystem, and digital transformation has become a top priority. For financial institutions, digital transformation involves not only digitizing existing services or products but also developing relevant capabilities to generate new digital services. To measure company’s efforts in generating digital services options and examine the impact of digital transformation on service performance, we are launching a global survey, entitled Innovation in Digital Services. This survey will explore the extent to which retail banks are investing in, developing and delivering digital services over time, and how well they are performing against customer expectations. Trending topics, such as digital service development, digital culture, digital trust and confidence, FinTech competition and collaboration, and etc., will be covered. Results from this survey are expected to inform banking executives on key drivers and best practices for undertaking in and delivering digital transformation and help retail banks to better seize digital moments
Artificial Intelligence and Machine Learning are disrupting the way we do business and implementations are exploding as we race to reap the benefits. Leapfrog over the challenges of deploying AI to experience new growth, optimized business models, and increased customer engagement.
Every organization's 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. Deborah 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.
Mike explores the requirements for artificial neural networks, including traditional Convolution Networks (CNNs), Recurrent Neural Networks (RNNs) and Generative Antagonistic Neural Networks (GANs), factors that limit scalability at the host, network and filesystem layers and provides best practices for circumventing limitations and potentially accelerating training and scaling inference predictively.
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.
Artificial Intelligence is the science of training systems to emulate human specific tasks through learning and automation. An AI application serves to automate and accelerate work that would otherwise take human resources and time. Machine Learning provides the intelligence that powers the AI application. We present an example of an AI app: a website where applicants can simply add house location and attributes to estimate home value for a mortgage application. A machine-driven estimate and decision are returned instantly. We will uncover the process of building this app--from Data Preparation and Machine Learning to Deployment.
There is a growing demand for better Healthcare IT and Analytics to drive better patient care services and business decisions. Analytics require managed data platform as a foundation for Business Intelligence, Data Mining and Advanced Analytics with modern data visualization. Data Management is an essential process that provides data governance, data modeling, and data visualizations.
In this session, I will share how we are developing an Enterprise Data Management Platform and build a better innovative analytical program to introduce new technologies that help in solving complex business issues.
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.
Recent breakthroughs in the domain of Artificial Intelligence applications have brought Machine Learning to the forefront of new generations of data analytics. In this workshop, we will present the practice and design trade-offs of building Machine Learning applications for production data and workflow on Big Data platforms.
Join us as we:
Walk away with a preliminary plan to better understand your data and the impact it will have in your Machine Learning use case.
The event is designed to educate, inform and inspire organizations across all verticals. We look forward to seeing you there!
Users of all skill levels can visually explore data and create analytically driven visualizations while tapping into powerful in-memory technologies for faster computations and deeper discoveries. This easy-to-use, self-service data visualization and analytics software can handle all your data, putting approachable and deep analytics in the hands of all users.
Facilitated by SAS experts, this 3- hour workshop is designed to teach you to uncover hidden opportunities, identify key relationships and make more precise decisions to drive success.
In this hands-on workshop, you will learn how to: