Day 2: Monday August 5th, 2019
8:30 am - 8:35 am Chairperson's Opening Remarks
8:35 am - 9:15 am Data Innovation in the face of Policy Updates, GDPR, CCPA, ITP & other Fun Initialisms
Data Innovation is the lifeblood of most companies in the media & ad-tech space, as they strive to build personalized, customized experiences and features for consumers, while trying to connect consumers with the most relevant and monetizable advertisements. Over time, organizations undergo shifts in their data policy, reacting not only to external events and competitive challenges, but also due to changes in risk appetite. Recently, regulations such as GDPR, CCPA - not to mention several additional states considering creating consumer data privacy laws - have further exacerbated these challenges. ITP is yet another development that portends to limit innovating with data.
In this talk, I will cover the journey Verizon Media has undergone since Verizon closed the acquisition of Yahoo. I will provide a peek into select data solutions, and discuss how we are building consumer oriented constructs and capabilities in response to the changing policy and regulatory landscape.
Varun BhagwanVice President, Product & Engineering- Data, Measurements, & Insights
9:15 am - 9:45 am The Convergence Between Data & Digital: Mapping Out a Cohesive Strategy for Maximum Impact
As we continue to shift into a data-driven digital society, it’s crucial to ensure a cohesive strategy between the Chief Data Analytics Officer and the Chief Digital Officer. In this talk, Joe Caserta will discuss the convergence between data and digital, addressing the interdependencies, ambiguities, and complications between the two. Joe will outline a cohesive strategy to enhance enterprise operations and improve your bottom line.
Joe CasertaPresident and Founder
9:45 am - 10:30 am Building an Analytics Center of Excellence & Organizational Alignment
This session will explore the role that an Analytics Center of Excellence plays in promoting enterprise-wide adoption of BI tools. Topics discussed include:
• Challenges to sharing data across departments and agencies
• Creating a 3-5 year vision to ensure enterprise-wide adoption over the medium to long term
• AI Center of Excellence
• Ideal structure of a CoE: leadership group, community practice, innovation space
Thomas DunlapChief Data Officer, Information Services Division
London Stock Exchange Group (LSEG)
10:30 am - 10:45 am Networking Break
10:45 am - 11:15 am Business Meeting
11:15 am - 11:45 am Business Meeting
11:45 am - 12:15 pm Business Meeting
12:15 pm - 12:45 pm Maximizing Efficiency through Workforce Optimization and RPA
This session will explore the ways in which RPA can be leveraged to ensure workforce optimization and realize increased efficiency while limiting expenses related to human capital. The session will also highlight ways in which RPA can be combines with ML/AI as well as NLP to generate significant value to the enterprise. This session will also cover:
• How to assess the value of IPA/RPA in your organization
• Training and development of end users on how to maximize efficiency of BI/RPA tools
• Conversational Analytics/ NLP
12:45 pm - 1:45 pm Networking Lunch
1:45 pm - 2:25 pm Practitioner Roundtable Discussions
Earlier in the Exchange, we collected your insights and challenges in the data and analytic space using the Thoughtexchange social learning tool. During this follow-up session, you’ll have dedicated time to sit with your peers and develop an action plan to improve data and analytics operations.
2:30 pm - 3:00 pm Do or Die: Data Governance/ Architecture
The move toward using predictive analytics and machine learning necessitates that organizations place a greater emphasis on the collection and management of huge swaths of both structured and unstructured data. It’s more important than ever that CDAO’s spearhead a focus on establishing robust, well-defined data governance. A new approach to data governance is currently emerging focused on enabling end users and citizen data scientists alike to take an active role in crafting business insights. This approach will require CDAO’s to re-evaluate their existing data governance approach to capitalize on the shifting landscape. Other topics to be discussed include:
• Transforming traditional data center to SD-DC
• Sampling strategy to evaluating what data is most relevant to a particular process-data migration strategy: eliminating silos
• CDM: Chief Data Management/ Single-Point Entry
• Metadata Management
• Data management automation (DatOps)
• Data Cataloguing
• Persistent Memory Servers (PMS)
• Adoptive Governance
Brainweave3:00 pm - 3:45 pm Geospatial Analytics
This session will explore some of the major challenges enterprises’ face when it comes to deploying scalable geospatial analytics.
Join this session to learn about:
- How to find the right specialized storage database solution capable of handling swaths of high velocity data.
Strategies to leveraging GPU’s to deliver ROI and valuable business insights
Masterclass3:00 pm - 3:45 pm Powering the Data Economy: Persistent Memory Servers & Emerging Concepts in Storage Architecture
This session will explore the ways in which enterprises are transforming their existing storage architecture to fit the substantial influx of data powered through IoT, AI, and edge computing.
Join this session to explore:
· The importance of developing solutions that maintain business continuity
· How to reduce latency and move processes close to the edge to expand the breadth of data
· NAND Flash Memory
Leveraging GPU’s in combination with traditional CPU architectures
3:45 pm - 4:25 pm Blockchain: From Adoption to Enterprise- Wide Integration
This panel will be centered on the challenges and successes that early adopters have experienced with the use of blockchain technology. Many organizations that have pioneered a “middle ground” approach have found increasing success. An emphasis on the early applications in supply chain optimization and in the financial services industry will allow the panel to focus on end user use cases and the benefits of a “niche” approach to enterprise-wide adoption. Key points of discussion include:
• How to recruit and develop skilled engineers who are able to help move blockchain beyond proof of concept.
• When and how blockchain interoperability will occur
• Benefits of adopting a collaborative approach built on consortiums
• Viability of trade-finance blockchain solutions (they stand most poised to benefit from improved efficiencies)
4:25 pm - 5:15 pm Finding the Needle in the Haystack: Streamlining and Optimizing Data Lakes/ Identifying Data Silos
Companies continue to struggle to develop and deploy a scalable Mature Data Quality model in which previously unstructured and unstructured data can both be analyzed in order to provide context and clearer insights. This session will explore the challenges that many organizations face when building a data lake and some of the technology (automated data processing and management) that are being used to leverage this asset to create relevant insights and create value. Discussed topics include:
• Strategies for maximizing insights drawn from wide, contextual breadth of new data provided by “data lake”
• Necessity of wide-ranging depots of data even if a company is trying to target a barely-detectable minority of shoppers
• Cost savings from traditional data management methods
• Identifying alternative sources of data increasingly important
• Data curation, SQL execution, data acceleration key focus areas for DaaS
• Data governance plays a huge role in building a quality, trustworthy data quality framework
5:15 pm - 6:30 pm Networking Break
6:45 pm - 7:30 pm Unlocking the Potential of “Digital Twins”
This session will focus on the concept of the digital twin and the underlying technical infrastructure needed to achieve scalability.
Use cases will be focused on its predicative capabilities as well as marketing applications.
• Application in predicative analysis
• Warehouse robotics
• Increasing Reliance on microlocation
• Organizations are still in the process of defining the value of this concept and on building model of virtual product/workload/etc.
• Advanced analytics role in creating actionable human persona.
6:45 pm - 7:30 pm Harnessing the Power of Real Time Data Analytics
The proliferation of connected devices and improved connection speeds has allowed the emergence of real-time analytical capabilities. Enterprise-wide adoption of robust real-time analytics allows end users to incorporate more agility into their decision making process.
• Real-time feedback for DevOps pipeline
• Challenges related to building an architecture able to handle the spikes and volatility of real-time data
• Keeping sight of offline analytics capabilities requirements and building a data architecture that can reconcile online and offline computing needs.
6:45 pm - 7:30 pm Data: The Next Frontier
Explore opportunities to build on the analysis we already do (using new data or gaining additional insights from existing data) and identify actions we can take beginning tomorrow.
Michael RobertsDirector of Customer Engagement