Name: 8th Annual Big Data & Analytics Summit Canada
Start: 22/06/2022 04:00 AM +00:00
End: 23/06/2022 09:00 PM +00:00

Strategy Institute Check-in

SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Together we can make data do amazing things.&nbsp;
SAS est le leader mondial de l&rsquo;analytique depuis 1976
SAS accompagne plus de 80 800 entreprises priv&eacute;es, institutions publiques, centres de recherche et universit&eacute;s dans 150 pays dans le monde pour exploiter les donn&eacute;es relatives &agrave; leurs activit&eacute;s, pour comprendre les comportements clients, fournisseurs, pr&eacute;dire les demandes futures, anticiper les d&eacute;faillances, octroyer des cr&eacute;dits, piloter les risques, combattre la fraude et les crimes financiers, analyser les menaces cyber, superviser la gestion des achats, des ressources humaines et accompagner le pilotage des ressources de sant&eacute; dans toute sa cha&icirc;ne de valeur. Ce n&rsquo;est pas pour rien que 88 des 100 premiers de la liste Fortune 500 de 2021 sont des clients de SAS.

Armilla AI is the first all-in-one AI governance platform that automates model testing, validation and monitoring. The Armilla quality assurance platform is fully automated, running 50+ tests on ML models at any time, and oversees the entire model creation life-cycle. Leveraging the Armilla FingerPrint&trade;&mdash;a validation framework that learns the sensitivities and riskiest parts of any system&mdash;any organization now has the tools to plan, experiment, validate and ship the most robust models.

Armilla

From smartphones to connected cars, location data is changing the way we live and the way we run businesses. Everything happens somewhere, but visualizing data to see where things are isn&rsquo;t the same as understanding why they happen there. CARTO is the world&rsquo;s leading cloud native Location Intelligence platform, enabling organizations like TELUS, Groupe Dynamite, CIBC and the NHL to use spatial data and analysis for more efficient delivery routes, better behavioral marketing, strategic store placements, and much more.
Data Scientists, Developers, and Analysts use CARTO to optimize business processes, and predict future outcomes through the power of Spatial Data Science.

CARTO

<a href="http://www.delltechnologies.com/">Dell Technologies</a> helps organizations and individuals build their digital future and transform how they work, live and play. The company provides customers with the industry&rsquo;s broadest and most innovative technology and services portfolio for the data era.
&nbsp;

Dell Technologies

Denodo est un leader en gestion des donn&eacute;es. La solution prim&eacute;e Denodo Platform est la plateforme leader en mati&egrave;re d'int&eacute;gration, de gestion et de livraison des donn&eacute;es, gr&acirc;ce &agrave; une approche logique pour permettre la BI en libre-service, la data science, l'int&eacute;gration des donn&eacute;es hybride/multi-cloud et les services de donn&eacute;es m&eacute;tiers.&nbsp;
Les clients de Denodo, des moyennes et grandes entreprises dans plus de 30 secteurs d'activit&eacute;, ont obtenu un ROI de plus de 400 % et r&eacute;alis&eacute; des millions de dollars de b&eacute;n&eacute;fices en moins de 6 mois. Pour plus d'informations, visitez <a href="https://www.denodo.com/fr">www.denodo.com/fr</a>.&nbsp;
Denodo is a leader in data management. The award-winning Denodo Platform is the leading data integration, management, and delivery platform using a logical approach to enable self-service BI, data science, hybrid/multi-cloud data integration, and enterprise data services.&nbsp;
Realizing more than 400% ROI and millions of dollars in benefits, Denodo&rsquo;s customers across large enterprises and mid-market companies in 30+ industries have received payback in less than 6 months. For more information, visit <a href="http://www.denodo.com">www.denodo.com</a> or call +1 877 556 2531 or email: info.ca@denodo.com

Denodo Technologies Corporation

Dremio is the lakehouse company. Hundreds of enterprises, including Allianz Global Investors, FactSet, and Nutanix, and more, use Dremio&rsquo;s SQL engine to deliver mission-critical BI on the lake. Dremio is on a mission to reinvent SQL for data lakes and meet customers where they are in their cloud journey.

Dremio

IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world's most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world. For more information about IBM visit: <a href="http://www.ibm.com/">www.ibm.com</a>.&nbsp;
IBM est le leader mondial de la transformation organisationnelle avec sa plateforme infonuagique hybride ouverte et l&rsquo;IA, et elle dessert des clients dans plus de 170 pays. Aujourd&rsquo;hui, 47 des entreprises sur la liste Fortune 50 comptent sur IBM Cloud pour g&eacute;rer leurs activit&eacute;s et I&rsquo;IA pour l&rsquo;entreprise d&rsquo;IBM Watson est utilis&eacute;e dans plus de 30 000 mandats. IBM est aussi une des plus indispensables organisations de recherche pour les entreprises, forte de 28 ann&eacute;es cons&eacute;cutives comme chef de file en mati&egrave;re de brevets. Guid&eacute;e par les principes de confiance, de transparence et de soutien pour b&acirc;tir une soci&eacute;t&eacute; plus inclusive, IBM s&rsquo;engage &agrave; &ecirc;tre un innovateur technologique responsable et une force oeuvrant pour le bien dans le monde. Pour en savoir plus : www.ibm.com.

85% of AI projects never reach deployment.
At Kili, we believe the foundation of better AI is good data.
Kili's complete training data platform empowers large organisations such as SAP, Airbus and Capgemini to create and focus on the good data to deliver successful AI projects. This approach improves their teams&rsquo; productivity, accelerates the go-to-production cycles of their AI projects and delivers trustworthy AI.
Kili's platform is unique in combining collaborative data annotation with continuous iteration to create transformative AI &ndash; free from bias and rooted in human intelligence.

Kili Technology

KPI Digital is a consulting firm specializing in Data, Analytics, AI, Digital Experience, Application Development &amp; Performance Management. For 20 years, our clients&rsquo; objectives, ambitions and challenges have shaped our growth, pushing the boundaries of our innovation and creativity to meet &amp; exceed their needs.
Working across a range of industries, from retail to mining, banking, insurance, healthcare, consumer products and more, we aim to continuously add value to our clients by addressing their most ambitious business objectives and bridge their gaps in technology, platform, expertise, strategy, process, functionality and much more.

KPI Digital

Founded in 1997, Pythian helps organizations transform by leveraging the power of data, analytics, and the cloud. With a spectrum of solutions ranging from infrastructure modernization and data enablement to application acceleration and business collaboration, Pythian delivers full-lifecycle consulting, professional services, and managed services to create outstanding business outcomes.
 Being data-driven equates to better decision making. Pythian&rsquo;s inventory of analytics services allows you to begin the journey toward falling in love with your data. Pythian helps you determine where you are on your analytics journey. Our team meets you where you are so that you can take the next step successfully.
 We&rsquo;ve defined the four stages of the analytics maturity accordingly:
<ul>
<li>See - Deliver insights into where the business is today and was historically.</li>
<li>Predict - Project future scenarios and calculate what to do next.</li>
<li>Do - Automate and orchestrate processes by using data to improve other applications.</li>
<li>Create - Identify new opportunities by sharing analytics data with product development or external stakeholders.</li>
</ul>
As you plan your analytics journey, consider your starting point and evolution over the mid-and-long term. Looking at the bigger picture will help you create a program that works today and grows with you for tomorrow.

Pythian

SafeGraph is a geospatial data company that curates high-precision data on millions of places around the globe. Our datasets provided detailed, accurate, and up-to-date information on points of interest and how people interact with those locations. Our mission is to build the highest-quality places data and make it available to all. That&rsquo;s why leaders from large organizations like Sysco, Domino&rsquo;s, Clear Channel, and Avison Young, as well as nonprofits and universities, rely on SafeGraph data to feed their data science models, research, and decision-making. To learn more and instantly download data, visit: <a href="https://www.safegraph.com/">safegraph.com</a>
 SafeGraph&rsquo;s mission is to democratize access to high-quality data. We believe data should not be hoarded by a few organizations, and instead should be open to power analytics and decision-making for anyone who needs it. We&rsquo;re helping data scientists unlock innovation with the world&rsquo;s most accurate dataset about physical places, updated monthly to reflect a dynamically changing world.
&nbsp;

SafeGraph

Tricentis is the global leader in continuous testing and automation, widely credited for reinventing software testing for DevOps and agile environments. The Tricentis AI-based, automation platform enables enterprises to accelerate their digital transformation by dramatically increasing software release speed, reducing costs, and improving software quality. Tricentis has been widely recognized as the leader by all major industry analysts, including being named a leader in Gartner&rsquo;s Magic Quadrant five years in a row. Tricentis has more than 1,800 customers, including the largest brands in the world, such as Accenture, Coca-Cola, Nationwide Insurance, Allianz, Telstra, Dolby, RBS, and Zappos. To learn more, visit <a href="http://www.tricentis.com">www.tricentis.com</a> or follow us on <a href="https://www.linkedin.com/company/tricentis/">LinkedIn</a>, <a href="https://twitter.com/tricentis">Twitter</a>, and <a href="https://www.facebook.com/TRICENTIS">Facebook.</a>&nbsp;

Tricentis

The Alteryx Analytics Automation Platform delivers end-to-end automation of analytics, machine learning, and data science processes that accelerate digital transformation. Develop faster results, deeper insights, better decisions, and ultimately, a cultural shift where anyone can drive business outcomes through self-service analytics and data science.

Alteryx

AWS Data Exchange is a service enabling data consumers to find and connect to data sets from more than 250 data providers in files in Amazon S3, tables in Amazon Redshift, or APIs. Since its launch in November 2019, AWS customers across Financial Services, Healthcare &amp; Life Sciences, Media, &amp; Retail have been using AWS Data Exchange to make more informed decisions more quickly, by more easily integrating data into their analytics.

AWS Data Exchange

Dataiku is the platform for Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations. Together, they design, develop and deploy new AI capabilities, at all scales and in all industries. Organizations that use Dataiku enable their people to be extraordinary, creating the AI that will power their company into the future.&nbsp;
More than 500 companies worldwide use Dataiku, driving diverse use cases from predictive maintenance and supply chain optimization, to quality control in precision engineering, to marketing optimization, and everything in between.&nbsp;
&nbsp;
&nbsp;

Dataiku

FPT Corporation is a leading global technology and IT services provider headquartered in Vietnam with US$1.3 billion in revenue and 36,000 employees. As a pioneer in digital transformation, FPT delivers world-class services in Smart factory, Digital platforms, RPA, AI, IoT, Enterprise Mobility, Cloud, AR/VR, Business Applications, Application Services, BPO, and more. The company has served over 700 customers worldwide including more than 100 of the Fortune Global 500 companies across the Aerospace &amp; Aviation, Automotive, Banking &amp; Finance, Logistics &amp; Transportation, Utilities, and other industries. For more information, please visit <a href="http://www.fpt-software.com">www.fpt-software.com</a>.&nbsp;

FPT Software

For data-driven companies, Starburst offers a full-featured data lake analytics platform, built on open source Trino. Our platform includes the capabilities needed to discover, organize, and consume data without the need for time-consuming and costly migrations. We believe the lake should be the center of gravity, but support accessing data outside the lake when needed. With Starburst, teams can access more complete data, lower the cost of infrastructure, use the tools best suited to their specific needs, and avoid vendor lock-in. Trusted by companies like Comcast, Grubhub, and Priceline, Starburst helps companies make better decisions faster on all their data.

Starburst 

TigerGraph is a platform for advanced analytics and machine learning on connected data. Based on the industry&rsquo;s first and only distributed native graph database, TigerGraph&rsquo;s proven technology supports advanced analytics and machine learning applications such as fraud detection, anti-money laundering (AML), entity resolution, customer 360, recommendations, knowledge graph, cybersecurity, supply chain, IoT, and network analysis. The company is headquartered in Redwood City, California, USA. Start free with <a href="https://www.tigergraph.com/cloud/">tigergraph.com/cloud</a>.&nbsp;

TigerGraph

Since 2008, Collibra has been uniting organizations by delivering trusted data for every use, for every user, and across every source. Our Data Intelligence Cloud brings flexible governance, continuous quality and built-in privacy to all types of data. The Global 2000 relies on Collibra to create the critical alignment that accelerates workflows and delivers better results faster. &nbsp;

Collibra

Discover the World&rsquo;s First Delivery Platform. Every business is on a path to automation. For many this path can be confusing, time-consuming and cost-prohibitive. Wrk equips you with industry-best automation technology, packaged and ready to deliver your work at scale. No code, IT or costly consultancies here&mdash;just quality work delivered straight to your inbox.&nbsp;

7:30 AM REGISTRATION AND BREAKFAST
<ul>
<li>Start your day off right and make connections with data leaders.&nbsp;</li>
<li>Interact with your peers, discuss best practices and share innovative strategies.&nbsp;</li>
<li>Gather essential content and get exclusive offers at exhibit booths.</li>
</ul>
&nbsp;
8:20 AM OPENING COMMENTS FROM YOUR HOST
Gain insight into today&rsquo;s sessions so you can get the most out of your conference experience and maximize your value.&nbsp;
Jim Love, CIO, IT WORLD
&nbsp;
8:30 AM CASE STUDY KEYNOTE: BE AN AGENT FOR CHANGE
The Evolving Role of the CTO in Driving a Data-First Culture
Nastaran Bisheban, Chief Technology Officer, KFC Canada
&nbsp;
9:00 AM INDUSTRY EXPERT: ACCELERATING ANALYTICS
Ziad Al Najjar, National Director, Technology Specialists Organization, Dell Technologies
Bill Wong, Artificial Intelligence and Data Analytics Practice Leader, Dell Technologies
&nbsp;
9:30 AM CASE STUDY: AI FRAMEWORKS AND STRATEGIES
Want to Increase Client Satisfaction, Operate Efficiently, and Reduce Risk? Leverage AI in Your Operation!
Daniel Capriles, Senior Director of Data Science, National Bank of Canada
&nbsp;
10:00 AM INDUSTRY EXPERT: DATA QUALITY
&Eacute;douard d'Archimbaud, Chief Technology Officer, Kili Technology
&nbsp;
10:30 AM MORNING BREAK
<ul>
<li>Engage with conference speakers and fellow attendees. &nbsp;&nbsp;</li>
<li>Secure new business contacts and discuss crucial developments in data analytics.&nbsp;</li>
<li>Experience live demos and test drive new technology.&nbsp;</li>
</ul>
&nbsp;
11:00 AM INDUSTRY EXPERT: INDUSTRY EXPERT: ML QUALITY ASSURANCE&nbsp; 
Quality Assurance for ML: The Next Frontier in Responsible AI&nbsp;
Dan Adamson, Co-Founder and CEO, Armilla Ai&nbsp;
&nbsp;
11.30AM CASE STUDY: SMART GRID DATA ANALYTICS
A Smart Electricity Grid Requires Smart Big Data
Sorana Ionescu, Director of Smart Metering, Independent Electricity System Operator
&nbsp;
12:00 PM INDUSTRY EXPERT: DATA DEMOCRATIZATION
Evolve your Data Culture and Empower your Teams with a Strong Analytic Democratization&nbsp;
Alan Jacobson, Chief Data and Analytics Officer, Alteryx
&nbsp;
12:30 PM NETWORKING LUNCH
<ul>
<li>Expand your network and make connections that last beyond these two days. &nbsp;</li>
<li>Visit the exhibitors hall and pose your toughest questions to leading solution providers. &nbsp;</li>
<li>Enjoy great food and service while engaging with your data colleagues.</li>
</ul>
&nbsp;
1:45 PM INDUSTRY EXPERT: CLOUD MIGRATION
Deliver Cloud Migrations with Confidence
Grigori Melnik, Chief Product Officer, Tricentis
&nbsp;
2:15 PM PANEL SESSION: INTEGRATING AI INTO BI OPERATIONS
Fusing Big Data and AI to Create the Ultimate Automated Business Insight Tool
Florina Halasan, Director of Data Analytics, Electronic Arts (EA)
Vidhi Chugh, Staff Data Scientist, Market Intelligence &amp; AI Solutions Lead, Walmart Global Technology
Salman Malik, Vice President Data and Analytics, Scotiabank
Frank Bignone, Global Director of Digital Transformation (DX) Division, FPT Software
Karandeep Singh, Technical Lead Data Science &amp; Ai, Telus&nbsp;
Moderator: Daniel Capriles, Senior Director of Data Science, National Bank of Canada
&nbsp;
2:55 PM AFTERNOON BREAK
<ul>
<li>Engage with conference speakers and fellow attendees. &nbsp;&nbsp;</li>
<li>Secure new business contacts and discuss crucial developments in data analytics. &nbsp;</li>
<li>Experience live demos and test drive new technology.&nbsp;</li>
</ul>
&nbsp;
3:30 PM CASE STUDY: CYBERSECURITY Improving Support for User-Facing Cybersecurity Steven Furnell, Professor of Cyber Security, University of Nottingham
&nbsp;
4:00 PM CASE STUDY: HOME GROWN TALENT
Delivering a Digital Workforce
Qahir Rajwani, Director of Data and Analytics Solutions, Healthcare of Ontario Pension Plan (HOOPP)
&nbsp;
4:30 PM CLOSING COMMENTS FROM YOUR HOST
Review the key solutions and takeaways from the conference. Source a summary of action points to implement in your work.
Jim Love, CIO, IT WORLD
&nbsp;
4:40 PM CONFERENCE ADJOURNS

Daniel Capriles

Édouard D'Archimbaud

Lori Verna

Sorana Ionescu

Mark Lyons

Alan Jacobson

Grigori Melnik

Florina Halasan

Vidhi Chugh

Salman Malik

Steven Furnell

Jim Love

Frank Bignone

Ziad Al Najjar

Nastaran Bisheban

Qahir Rajwani

Dina Hamdieh

Karandeep Singh

Dan Adamson

Bill Wong

Day 2 8th Big Data & Analytics Summit Canada

Gain insight into today&rsquo;s sessions so you can get the most out of your conference experience and maximize your value. &nbsp;
Jim Love, CIO &amp; Chief Content Officer, IT World Canada&nbsp;

Opening Comments from your Host 

The Evolving Role of the CTO in Driving a Data-First Culture&nbsp;
 There has been a recent surge in the creation and emphasis of the chief data officer role. It now involves heightened responsibility in every step of your digital transformation journey. But we must still consider the rest of the boardroom&rsquo;s role in ensuring the CDO office is a success. Achieve increased productivity and plan for the future by working with your CTO to create a thriving data culture. Walk away with an action plan to:&nbsp;
<ul>
<li>Develop effective operating models and distinguish the role of your CTO in this new culture&nbsp;</li>
<li>Create clear responsibilities for this role and department to promote consistency within employee and department structures&nbsp;</li>
<li>Adapt your business strategy and empower your CTO to make this dream a reality with data-driven product development&nbsp;</li>
<li>Achieve better customer service and retention by leveraging the voice of the customer to identify important issues and provide the right solutions&nbsp;</li>
</ul>
Become an agent for change and an industry thought leader.&nbsp; &nbsp; Nastaran Bisheban, Chief Technology Officer, KFC Canada&nbsp; &nbsp;

CASE STUDY KEYNOTE: BE AN AGENT FOR CHANGE 

Today more than ever, businesses are looking on how they can differentiate and provide more value to their customers. &nbsp;This will never happen without evolving the business into Data centric one where we look at how quick we can collect, access and transform data into insights, leveraging different technologies including Edge, where digital and physical worlds collide sparking innovation. Data life cycle, Analytics acceleration, Development and Deployment. In this session we will address:&nbsp;
<ul>
<li>Digital Transformation Journey Progress.&nbsp;</li>
<li>Data Life Cycle, Edge, security and analytics. &nbsp;</li>
<li>Unstructured Data management. &nbsp; &nbsp;</li>
</ul>
Infrastructure that is optimized to address the data lifecycle and delivering consistent operations&nbsp; &nbsp; Ziad Al Najjar, National Director, Technology Specialists Organization, Dell Technologies&nbsp; Bill Wong, Artificial Intelligence and Data Analytics Practice Leader, Dell Technologies &nbsp;

INDUSTRY EXPERT: ACCELERATING ANALYTICS 

Want to Increase Client Satisfaction, Operate Efficiently, and Reduce Risk? Leverage AI in Your Operation!&nbsp;
 In operations with a lot of complexity, where data is not typically label as it is in other environments like digital marketing, it is not always easy to see all the potential and different applications. Maximize efficiency and client satisfaction by exploring new possibilities and solve old problems with innovative approaches. Develop a roadmap to:&nbsp;
<ul>
<li>Heighten operational efficiency and client experience while reducing risk &nbsp;</li>
<li>Leverage frameworks to accomplish actual improvements&nbsp;</li>
<li>Generate new insights and capabilities to obtain greater influence across your organization&nbsp;</li>
</ul>
Maximum impact at a minimum cost&nbsp; &nbsp; Daniel Capriles, Senior Director of Data Science, National Bank of Canada&nbsp;

CASE STUDY: AI FRAMEWORKS AND STRATEGIES 

Immature AI fails, it misses your business needs and damages your brand. We now know that the failure of AI comes from the quality of data. Discover more about data-centric AI and where good data is at the core of your AI strategy. Take back strategies to:&nbsp;
<ul>
<li>Leverage quality data from clean and diverse datasets&nbsp;</li>
<li>Focus on rare events, create your 2.0 stack, and much more!&nbsp;</li>
<li>With data-centric AI, you will boost your model performances, reduce your development time, and achieve your business targets.&nbsp;</li>
</ul>
Harness data-centric Ai to achieve quality insights&nbsp; &nbsp; &Eacute;douard d'Archimbaud, Chief Technology Officer, Kili Technology&nbsp;

INDUSTRY EXPERT: DATA QUALITY 

Quality Assurance for ML: The Next Frontier in Responsible AI&nbsp;
 With the increasing focus on developing models with transparency, accuracy, robustness, and security, organizations are faced with the challenge of operationalizing the responsible development of their ML systems. Traditional software development practices of quality assurance and test automation ensure the development of robust software. Model development methods need to mature to incorporate similar practices to ensure we avoid the negative consequences of poor model development standards. 3 key take aways from your session:&nbsp;
<ul>
<li>Automating quality assurance in the model development process&nbsp;</li>
<li>Scaling test automation to ensure the development of high-quality models and avoid the unintended consequences presented by ML systems. &nbsp;</li>
<li>Implementing best practices in the model development process achieve faster time to market with high quality models.&nbsp;</li>
</ul>
Implement responsible Ai with ease&nbsp; Dan Adamson, Co-Founder and CEO, Armilla Ai&nbsp;

INDUSTRY EXPERT: ML QUALITY ASSURANCE 

Building Better Leadership Diversity&nbsp;
 Despite an industry-wide push in recent years to boost female representation in IT there is still a long way to go to reach a culture that cultivates equality and diversity. Remedy your skill shortage by tapping into the underutilized female talent pool. Walk away with strategies on:&nbsp;
<ul>
<li>Effective policies that help women rejoin the workforce after taking a break due to family responsibilities&nbsp;</li>
<li>Breaking the glass ceiling: Navigating the best leadership strategies for women on a male-dominated executive board&nbsp;</li>
<li>Promoting opportunity in career advancement and eliminating the gender pay gap&nbsp;</li>
</ul>
Inspire female leaders and grow underrepresented talent in the digital workforce.&nbsp; &nbsp; Lori Verna, Senior Director for Colleague Solutions, Loblaw Companies Limited&nbsp; Dina Hamdieh, Director of Data Acquisition and Data Engineering, Loblaw Companies Limited&nbsp;

CASE STUDY: WOMEN IN TECHNOLOGY

A Smart Electricity Grid Requires Smart Big Data &nbsp;
 Explore the deep transformational forces shaping the energy sector (electrification, decarbonization, digitalization) and the importance of a holistic data strategy towards enabling an effective smart grid transformation. Discover how big data applications are shaping the future of the energy industry. Gain key insights into: &nbsp;
<ul>
<li>Building a good data governance foundation and practices&nbsp;</li>
<li>Creating an enduring roadmap for big data driven modernization &nbsp;</li>
<li>Utilizing big data to enable smart grid decisions &nbsp;&nbsp; </li>
</ul>
Sorana Ionescu, Director of Smart Metering, Independent Electricity System Operator&nbsp;

CASE STUDY: SMART GRID DATA ANALYTICS 

Building the Open Data Lakehouse&nbsp;
 Developing analytics and getting them into production takes weeks to months, and data tied to proprietary formats makes it difficult to support different types of analytics, such as BI and data science. Data consumers need data for BI and analytics to make business decisions but for most organizations, their current data infrastructure isn&rsquo;t keeping up with demand. Simplify complexities and make life easier for your data teams with a data lakehouse. Discover why more organizations are moving their analytics and BI to an open data lakehouse:&nbsp;
<ul>
<li>Devise a successful lakehouse strategy to improve your turnaround time and reduce your costs.&nbsp;</li>
<li>Build on an open data architecture which enables data users to access data in their data lake directly via SQL queries.&nbsp;</li>
<li>Avoid common struggles with brittle data pipelines and stale data&nbsp;</li>
</ul>
Keep up with your companies demand for data with an open data lakehouse infrastructure&nbsp; &nbsp; Mark Lyons, VP Product Management, Dremio &nbsp;

INDUSTRY EXPERT: DATA LAKEHOUSE 

Evolve your Data Culture and Empower your Teams with a Strong Analytic Democratization &nbsp;
 Some of the largest transformations in business and in the world are being driven by analytics. And these analytics, are frequently not highly complex, and they are not being done by IT or Data Scientists, but instead are frequently being led by domain experts. How do you ensure your knowledge workers are able to participate and leverage modern analytic techniques in your operations? &nbsp;How do you adapt your organization to leverage best-in-world examples? &nbsp;Walk away with a plan to:&nbsp;
<ul>
<li>Adapt your organizational culture and smash silos by upskilling knowledge workers across the organization to create their own analytical insights &nbsp;</li>
<li>Create a fool-proof business case for your team and company to generate C-Suite buy in&nbsp;</li>
<li>Achieve higher quality insights that fit business needs and free up data science teams to tackle the most impactful digital transformation projects&nbsp;</li>
</ul>
Reinvent your organizational culture and unlock the full potential of your data!&nbsp; Alan Jacobson, Chief Data and Analytics Officer, Alteryx&nbsp;

INDUSTRY EXPERT: DATA DEMOCRATIZATION 

Deliver Cloud Migrations with Confidence&nbsp;
 Moving to the cloud can be both high risk and high reward, and this is where a disciplined and systematic testing approach can pay huge dividends in minimizing the risk. Migrating your applications to the cloud can be accomplished in many ways but how do you know that you&rsquo;ve succeeded to the point that your system can go live? Develop a blueprint to:&nbsp;
<ul>
<li>Combat the challenges of on-prem legacy applications and the loss of key people that understood the initial design challenges and compromises built into the system.&nbsp;</li>
<li>Develop right testing approach, including a good alignment with the Dev and Ops teams, automation in both process and tooling.&nbsp;</li>
<li>Gain an analytical understanding of your test coverage so that cloud migration projects can be brought online with confidence.&nbsp;</li>
</ul>
Effortlessly deliver cloud migrations through your company &nbsp; &nbsp; Grigori Melnik, Chief Product Officer, Tricentis&nbsp;

INDUSTRY EXPERT: CLOUD MIGRATION 

Fusing Big Data and AI to Create the Ultimate Automated Business Insight Tool&nbsp;
 AI is now more than just a buzzword &mdash; it is consistently applied to technologies and programs within all businesses and can provide greater clarity by way of strategic direction. Enrich your data insights and better analyze your consumer behaviours to uncover hidden opportunities. This will enable you to avoid inaccurate interpretations and stimulate economic growth. Develop a blueprint to:&nbsp;
<ul>
<li>Build your customer service strategy around data insights to recognize consumer behaviours in real time and deliver personalized customer experiences&nbsp;</li>
<li>Invest in an omnichannel experience and scale out access to support through several platforms&nbsp;</li>
<li>Automate workflows to allow employees additional time to solve problems in other areas of service and operations&nbsp;</li>
</ul>
Strengthen your data insights with AI to drive your decision making.&nbsp; &nbsp; Florina Halasan, Director of Data Analytics, Electronic Arts (EA)&nbsp; Vidhi Chugh, Staff Data Scientist, Market Intelligence &amp; AI Solutions Lead, Walmart Global Technology&nbsp; Salman Malik, Vice President Data and Analytics, Scotiabank&nbsp; Frank Bignone, Global Director of Digital Transformation (DX) Division, FPT Software&nbsp; Karandeep Singh, Technical Lead Data Science &amp; Ai, Telus&nbsp; Moderator: Daniel Capriles, Senior Director of Data Science, National Bank of Canada&nbsp;

PANEL SESSION: INTEGRATING AI INTO BI OPERATIONS 

Improving Support for User-Facing Cybersecurity&nbsp;
 While our need for cyber security becomes ever more extensive and pervasive, there is still the tendency to deliver technologies to users and just expect them to get on with it. Enhance your protection against data breaches by adapting your approaches to better support the user. Leave with practical tips to: &nbsp;
<ul>
<li>Understand user needs and perceptions around cybersecurity&nbsp;</li>
<li>Identify where people are likely to need support&nbsp;</li>
<li>Ensure a more holistic approach to the adoption of new technologies &nbsp;</li>
</ul>
Heighten your user satisfaction with greater support.&nbsp; &nbsp; Steven Furnell, Professor of Cyber Security, University of Nottingham&nbsp;

CASE STUDY: CYBERSECURITY 

Delivering a Digital Workforce&nbsp;
 With digital transformation comes the acquirement of new technologies and software, which has caused the digital skills gap to widen even more. Improve your business results by applying new approaches to upskill existing employees with the right knowledge and tools. Create a roadmap to:&nbsp;
<ul>
<li>Examine how digitalization and technological innovation are transforming team skill sets &nbsp;&nbsp;</li>
<li>Foster a supportive environment to cultivate a strong digital workforce with continued learning to meet the challenges and needs of new technologies&nbsp;</li>
<li>Attain a steady balance between employee upskilling and procurement of new technologies to complement not overshadow one another&nbsp;</li>
</ul>
Upskill your existing workforce and plan for the digital future.&nbsp; &nbsp; Qahir Rajwani, Director of Data and Analytics Solutions, Healthcare of Ontario Pension Plan (HOOPP)&nbsp;

CASE STUDY: HOME GROWN TALENT 

Review the key solutions and takeaways from the conference. Source a summary of action points to implement in your work.&nbsp;
Jim Love, CIO &amp; Chief Content Officer, IT World Canada&nbsp;

Video Archive

Speakers.css-1f6omqm{margin:0;font-size:1.4rem;font-weight:500;line-height:1.5;color:#5d5d5d;font-family:'Poppins',sans-serif;margin-left:0.8rem;}44 Speakers

Lynda Partner

Édouard D'Archimbaud

Grigori Melnik

Mark Lyons

Nastaran Bisheban

Satyam Priyadarshy

Steve Hoskin

Nitin Mathur

Steven Furnell

Josh Hamilton

Helen Poletes

Iyyad Jariri

Daniel Capriles

Ryan Drew

Lori Verna

Dina Hamdieh

Carine Botturi

Jeff Ho

Vidhi Chugh

Florina Halasan

Frank Bignone

Nabarun Lahiri

Dustin Johnson

Dr Rex Davis

Alan Jacobson

Kimberly Nevala

Sorana Ionescu

Qahir Rajwani

Colleen Tartow

David Kerner

Richard Langlois