2023/05/25 - Online
Companies that harness data to derive value through data-driven decisions are differentiating themselves. As companies look to modernize their data architecture, the cloud is playing a key role. The scalability and cost-effectiveness of the cloud are tremendously appealing, particularly with the rapid growth of data. However, the cloud introduces a new dimension that you must factor in when building your data strategy.
The Fast Data Strategy Summit is a virtual event that brings together industry leads to share their experience and provide actionable strategies to help you chart your path forward. Hear firsthand from industry analysts, thought leaders, and peers who have successfully modernized their data architecture to drive real business value.
Philip Russom Ph.D.Independent Industry Analyst for Data Management and Analytics
(Former analyst with Gartner, TDWI and Forrester)
Jacob LynnData & Analytics Manager
Paul MoxonSVP Data Architectures & Chief Evangelist
Who Should Attend?
Whether you are a business executive, line of business owner, architect, business analyst, data scientist, BI practitioner, developer, or any other data professional, Fast Data Strategy Virtual Summit will offer you a fresh perspective on how to utilize your enterprise data better.
Tap into rich insights, best practices, case studies, and the latest trends from industry leaders and your peers.
Connect with your peers, industry leaders, and practitioners to expand your personal network and sphere of influence.
Advance your knowledge and that of your team to drive a deeper understanding of your data and its value.
What Past Attendees Liked about the Event
The open discussion of topics between the panelists and different perspectives.
Good caliber of speakers with great content at the keynotes.
Ability to ask questions interactively with the presenters.
Welcome - Fast Data Strategy Virtual Summit
Paul Moxon, SVP Data Architectures & Chief Evangelist, Denodo
Distributed Data Across Cloud and On-Premises: Opportunities and Challenges
Philip Russom Ph.D., Independent Industry Analyst for Data Management and Analytics
Organizations today are facing an opportunity that they must seize. If they could access the full wealth of their data that is distributed across cloud and on-premises, they could leverage the data for advanced analytics and operational efficiencies, leading to faster time-to-insights and more impactful decisions. However, the greatest barrier to seizing this opportunity is the fact that valuable enterprise data is distributed across many IT systems, each with its own data models, semantics, and interfaces. Distributed data has long been a challenge to leveraging and reusing data on premises, and the distribution is broadening as organizations embrace data architectures that are hybrid or multi-cloud.
In this presentation, data thought leader Philip Russom (formerly an analyst with Gartner, TDWI, and Forrester) will explain the opportunities and challenges of today’s cloud and on-premises distributed data, while highlighting logical solutions and desirable business use cases based on data virtualization.
Square Pegs In Round Holes: Rethinking Data Availability in the Age of Automation & Artificial Intelligence
Eric Little, Industry Innovation Principal Director, Accenture
Data-led transformations are becoming more prevalent in recent years, across numerous industries. More and more senior leaders are looking for data to drive their business decisions and impact their bottom line. One key challenge facing such businesses is the ability to pivot to new technologies while maintaining investments in legacy systems they have grown to rely on. In an age where automation, internet-scale search, and advanced analytics are driving many new advances, it is important to understand that this is not only a pivot in terms of technologies, it is a pivot in terms of how we think about and utilize data of different types. Traditional systems since the 1970’s have been built around database concepts where data is physically pipelined, mapped together, statically modeled, and locked away in vaults. The types of vaults have evolved over time from basic databases, to data warehouses, to data lakes, to lake houses, and so on. The fundamental premise remains: data is placed into sealed containers, such that the critical approach is around storage, instead of being aimed at retrieval. Reversing this approach can, instead, lead to understanding data as transient, on-demand, and immediately available to end users within a certain context. This talk will discuss certain contemporary concepts that are expanding the notion of data storage devices and, instead, are moving to loosely connected data retrieval devices, or in some cases, data generation devices. We will examine this shift in approach and what it means for designing and deploying new types of technologies that can be more flexible and provide improved business value for clients in the fast-paced evolving world of Artificial Intelligence.
Transforming Data Management in the Cloud with the Denodo Platform
Paul Moxon, SVP Data Architectures & Chief Evangelist, Denodo
Data that is increasingly distributed across on-premises and multiple cloud platforms offers both opportunities and challenges for insights-driven business decision making. This is true for any industry and any organization, small or large. While modern data architectures such as data fabric or data mesh offer innovative solutions to extract maximum value from organizational data, in many instances physical replication or consolidation of data makes those solutions ineffective. In this session Paul Moxon, SVP of Data Architecture and Chief Evangelist at Denodo will present a number of customer examples illustrating how organizations have successfully implemented a logical data architecture.
|10:15 AM||NETWORKING / ASK THE EXPERTS|
Importance of a Logical First Architecture in a Cloud First Data Landscape
Inessa Gerber, Director of Product Management, Denodo
Rex Washburn, Lead Architect & Head of Portfolio, Modern Data Platforms, CDW / Jacob Lynn, Data & Analytics Manager, Textron
Modern data and analytics landscape is becoming more and more complex by the day, as data driven decision making becomes ubiquitous for every functional area within every imaginable organization. While being promising, cloud data warehouses and data lakes are falling short of solving the complex data management problem and adding to security and governance complexity. Even modern architectures like data fabric and data mesh cannot solve the problem if they are not thought through a logical first strategy.
Join this panel, where Rex Washburn from CDW, Jacob Lynn from Textron and Inessa Gerber from Denodo will discuss:
Bridging Data Gaps with a Solid Data Foundation - A Key Imperative for Today’s Financial Services Firms
Parker Thompson, VP, North America East Region, Denodo
Jason Medwid, Practice Manager, Data and Analytics, DevFacto / Greg Bowles, IT Shared Technology Services Manager, UFCU
In this session, the panel will discuss the importance of laying out a solid data foundation for everything digital for any financial institution. The panelists from UFCU and DevFacto will share their journey and agile approach toward data management in a hybrid data environment.
From this session, you will learn how:
Building a Data Fabric: Lessons Learned from the Field
Pablo Alvarez, Global Director Product Management, Denodo
Sathish TK, CTO, IQZ Systems / Jim Barnes, CTO, Primerica
The current complexities of the data landscape, often hybrid in location and distributed in nature, have catapulted the Data Fabric to the forefront of the data management industry. However, as a broad and strategic initiative, it is not always clear how to start and how to evolve it, what are the critical pieces that require more attention, and how to measure its progress and value. In this panel, we will:
Feeling the Pain in Supply Chain and Manufacturing? A Logical Data Fabric May Be the Answer.
Joanne Friedman, Ph.D., CEO | Principal, Smart Manufacturing, Connektedminds Inc
Dave Nixon, Enterprise Data Account Executive, Denodo / Derrin Joncas, Managing Partner, W5 / Sathyan Munirathinam, Ph.D., Senior Manager | CS Data and Analytics, ASML / Dimuth Samaranayaka, Executive Manager – Strategy & Centre of Excellence, Hastings Deering
In today’s turbulent economies, manufacturers and their supply chain partners know that to improve time-to-value, they need to accelerate the pace of operations and to make better, more informed decisions faster. That’s a challenge when petabytes of collected data may be trapped in disparate, siloed systems─ in the cloud, in a data center, or on an edge device. In this panel, subject matter experts will discuss how manufacturing and supply chain leaders can optimize "time", and deliver more customer value faster and at a lower cost.
|12:00 PM||NETWORKING / ASK THE EXPERTS|
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