Agenda

May 26-27, 2020



Cloud Data Summit is a virtual conference where you will meet peers and other professionals face to face, in group mastermind sessions, roundtables, and panels.

Our Speakers

Susan Walsh

Susan Walsh

Founder, The Classification Guru

Susan Walsh is the founder of The Classification Guru, fixer of dirty data and a specialist in data classification, supplier normalisation, taxonomy development and data cleansing. She brings clarity and accuracy to data and helps procurement and data teams to work more effectively and efficiently, finding cost savings through spend and time management and supporting better, more informed business decisions, delivering a strong ROI.


After eight years of working with data, Susan has developed a methodology to accurately and efficiently classify, cleanse and check data for errors which will help prevent costly mistakes from happening and save hours, if not days of laborious data cleansing and classifying by in-house teams.


Susan is passionate about highlighting awareness and the value around addressing the issues of “dirty data” and it’s consequences in an entertaining and engaging way through her YouTube channel, LinkedIn, webinars and speaking engagements.


Patricia Delafuente is part of the adjunct Graduate Data Science Faculty with the University of Maryland Baltimore County and the Senior Director of Data Science for NewWave Telecom & Technologies. 

She is a Data Scientist with over twenty years of database engineering, business intelligence, and analytics experience.

She holds a Master of Science in Analytics from Texas A&M University and a Bachelor/Master of Science in Information Systems.

She has numerous IT certifications to include Microsoft Certified Application Developer and Microsoft Certified Database Administrator. 

She is a University Ambassador for Nvidia and is certified to teach several Nvidia Deep Learning Institute courses.

She is a frequent guest speaker at community data science related events. 

Her interests are machine learning, text mining, and using GPUs/distributed processing to improve the performance of analyzing and processing big data.

Patty Delafuente

Sr. Director Data Science at NewWave Telecom & Technologies, Inc.


Rob Gould

Rob Gould

Director Business Analytics at CBRE | FacilitySource

Rob Gould, Director of Business Analytics for CBRE FacilitySource.Rob has been working in Business Analytics for 9 years, working in SQL, Tableau, and Python, and he is presenting on how to use data to tell a story. Some Background on FacilitySource: FacilitySource works to optimize the facilities maintenance space by using data to drive day-to-day decisions.


Rob will be discussing how aspects of dashboard design such as color, shape, position, and more can influence the ability to understand data. He will dive into how to use various tools like Excel, Tableau, Qlik, Looker, and more can be used for effective data storytelling.



Scott Taylor, The Data Whisperer, has helped countless companies “calm data down” by enlightening business executives to the strategic value of master data and proper data management. He focuses on business alignment and the “strategic WHY” rather than system implementation and the “technical HOW.”


He acts as Principal Consultant for MetaMeta Consulting – A Data Story Boutique


An avid business evangelist and original thinker, he continually shares his passion for the strategic value of master data through industry events, public speaking opportunities, blogs, videos, whitepapers, podcasts, cartoons, puppets shows and all forms of thought leadership. He lives in Bridgeport, CT where he often kayaks in Black Rock harbor. He can also juggle pins and blow a square bubble.

Scott Taylor

Scott Taylor

The Data Whisperer & Principal Consulting


Brrent Dykes

Brent Dykes

Chief Data Story TellerAnalytics Hero

Brent Dykes is the author of Effective Data Storytelling: How to Drive Change with Data, Narrative, and Visuals. Brent has more than 15 years of enterprise analytics experience at Omniture, Adobe, and Domo. His passion for data strategy and data storytelling comes from consulting with many industry leaders including Nike, Microsoft, Sony, and Comcast. He is a regular Forbes contributor and has written more than 35 articles on different data-related topics.

In 2016, Brent received the Most Influential Industry Contributor Award from the Digital Analytics Association (DAA). He is a popular speaker at conferences such as Strata, Web Summit, Shop.org, Adtech, Pubcon, RISE, Crunch, and Adobe Summit. Brent holds an MBA from Brigham Young University and a BBA in marketing from Simon Fraser University.


Mark Chamberlain is the vice president global head of infrastructure at ADP. With revenues of $13.3 billion in 2018 and 57,000 employees worldwide, ADP is a leading global technology company providing human capital management (HCM) solutions. ADP provides comprehensive payroll services and human resources management solutions for businesses of all sizes by offering companies recruit-to-retire services and solutions that help them build the teams necessary to succeed.


A 26-year veteran within the world of technology, spanning from programming to infrastructure, Mark is responsible for ADP’s global infrastructure, which supports the company’s global hosting businesses and millions of end users. In this capacity, he provides global leadership and vision for infrastructure and platform architecture. In addition, he is responsible for developing a global infrastructure strategy to align ADP’s architecture across the enterprise.

Prior to joining ADP in February 2016, Mark was the global head of infrastructure at Bloomberg L.P. were his focus was on servers, storage, databases, virtualization, procurement and infrastructure workflow globally, along with the management of the global infrastructure budget. Mark began his 21-year career at Bloomberg as a software developer and moved into other roles, including database engineering, backend programming, user interface design, infrastructure and automation.

Mark Chamberlain

Mark Chamberlain

VP Global Head of Infrastructure ADP


Kurt Cagle

Kurt Cagle

CEO of Semantical LLC, Contributor to Forbes and Managing Editor of Cognitive World

Kurt Cagle is focusing on future technologies, science, enterprise data management, and technology ethics.

He also runs his own consulting company, Semantical LLC, specializing on Smart Data.

Kurt Cagle is an author, information architect and journalist, writing under #theCagleReport. He's written for a number of publications including Forbes, Medium, O'Reilly, and has worked with multiple Fortune 100 companies and national and international agencies on issues of data management.


Michael is an IT enthusiast with a long-held experience leading enterprise scale projects across several industries.

He has worked in the US and in Europe, and as a Senior Project Manager at OpenNebula, where he is responsible for the delivery of open source cloud and edge technology solutions to meet quickly evolving business needs in the marketplace.

It is the innovation and drive to bring new capabilities to market that makes his work most exciting.

Michaelabdou Opennebula

Michael Abdou

Senior Project Manager OpenNebula


Imran Ahmed

Imran Ahmed

Director of Product Marketing, ADP

Imran Ahmed oversees Product Marketing for ADP DataCloud, an award-winning, people analytics solution, designed to give organizations an edge delivering actionable insights. Imran plays a pivotal role in helping businesses understand the value of data analytics and how best to leverage them to improve outcomes.

His expertise has placed him among the top experts driving others to leverage data and analytics as a foundational approach. His accomplishments as a thought leader have helped to elevate business strategy at well-established HR and Tech companies throughout his professional career. After spending more than 12 years in Product Management & Product Marketing, Imran brings passion to the message that Artificial Intelligence and Machine Learning not only help reduce administrative tasks, but also help to attract top talent, which is vital in today’s diverse labor market.

He brings this philosophy to life… strong technology in the hands of a strong partnership will ultimately drive business success for any organization. At ADP – Imran’s understanding of ADP DataCloud has been a key to enabling others to harness the power of data. ADP DataCloud has garnered multiple awards, including Best Advance in HR Predictive Analytics Technology and Ventana Research Technology Award.


Farhan Abrol is Head of Machine Learning Products at Pure Storage where he oversees the development and execution of Meta, a machine learning engine that uses IoT data to optimize the customer experience.

Farhan has successfully led engineering teams in enhancing data resiliency, streamlining management operations, and improving customer experience.

Farhan is also passionate about shaping the future of the industry and is an active mentor for future IT leaders.

Farhan Abrol Headshot

Farhan Abrol

Head of Machine Learning Products, Pure Storage 


Eric Axelrod

President & Chief Architect, DIGR

Founder, Cloud Data Summit

Eric is a passionate leader with demonstrated success leading, planning, and executing world-class analytical solutions which revolutionize business.

Eric has helped companies bring new data driven products to market, drive efficiency out of their supply chain, execute strategic plans, and drive top line and bottom line growth by enabling every business function with actionable analytics.

Executive Advisor at 1ox Factory & AdvisoryCloud and Executive Client Advisor at AlphaSights.


Our Sessions

The Dangers of Dirty Data, and it's Consequences

Susan Walsh

Founder, The Classification Guru


What is dirty data, and what are the consequences?


Susan Walsh, The Classification Guru has spent 8 years classifying spend data and will share with you the importance of data accuracy and examples of how this affects the end-user in terms of supplier normalisation and data classification within analytics and AI/automoation and she will show you how to make quick spot checks of your data to find these and ensure data accuracy for your data moving forward.


Artificial Intelligence is a way to use machines to improve or emulate human or biological performance. A subcategory of that is machine learning which leverages both data and analytic algorithms to build models that when trained on existing data, can be used to make inferences based on new data. Analytics can provide powerful prescriptive information inform company and organizational decision making.  In today’s technological climate, we now have the perfect convergence of technology, data availability, and computing power to understand and shape our world in unlimited ways. A core essential ingredient to effective implementation of AI is a solid data infrastructure. Data must be available and in a format that can be analyzed. Even a company with an amazing team of analytic staff and powerful machine learning software will face barriers to innovation the team does not have the required data for building and training analytic models. 

In this presentation, we will discuss ways that one can analyze and prepare their data infrastructure to enable and make effective use of Artificial Intelligence and Machine Learning. Data capture, transformation techniques, data base products, and modern cloud data sharing platforms will be discussed.

Enable Data Infrastructure for Artificial Intelligence and Machine Learning

Patty Delafuente

Sr. Director Data Science at NewWave Telecom & Technologies, Inc.


Data Viz best practices

Rob Gould

Director of Business Analytics for CBRE FacilitySource

As our understanding and access to data grows, so too does the need for great Data Visualization. Data Visualization is the process of taking data and information and presenting it in a graphical format. By using items like line and bar graphs, scatterplots, tables, and other charts, we aid our audience in quickly identifying trends and patterns, outliers, or leading indicators.


The ability to tell a story using data is becoming an increasingly in demand skill, with some roles being created and dedicated to it. In today's session, we will review those skills and how you can effectively format data to present to any audience and leave behind the message you intend to. The practices covered during this session apply to some of the most common tools used today: Tableau, Excel, Power Bi, and more. This session is great for anyone who builds presentations or dashboards regularly, and is looking to improve their skills or see how others in the field are doing it.


Data Management is the Foundation of Digital Transformation

Scott Taylor

The Data Whisperer & Principal Consulting, MetaMeta Consulting


Effective Data Storytelling: How to Turn Insights into Action

Brent Dykes

Chief Data Story TellerAnalytics Hero

The primary purpose of analytics is to help organizations discover meaningful insights that will inform better decision making. Unfortunately, too many insights fail to translate into action. In the very last mile of the analytics process, insights are squandered when they aren’t communicated effectively.


To avoid this recurring problem, data storytelling can help make your insights more engaging, persuasive, and memorable. In this session, Brent will share valuable frameworks and practical tips from his new book, "Effective Data Storytelling: How to Drive Change with Data, Narrative, and Visuals" (Wiley). He’ll give you a deeper understanding of the art and science behind data storytelling, which is an essential skill that everyone must learn and master in today’s data economy.


The need for companies to move their customer-facing products from private clouds and data centers to the public cloud has become increasingly apparent in 2020. Enterprises are developing “living” technology that is more cloud-native, making their data much more accessible—and scalable. In fact, global spending on enterprise software is expected to grow 9% this year, driven primarily by cloud-based subscriptions.


However, as companies across the globe begin embracing this transition, they are facing ramifications after this shift in technology takes place. Ultimately, the demand is affecting enterprise cloud infrastructure and the how organizations are developing new technology to support the growing move to the public cloud—with the biggest challenge being data gravity.


How “Data Gravity” Could Impact your Cloud Strategy – The Journey to the Public Cloud

Mark Chamberlain

VP Global Head of Infrastructure ADP


Project Management in a data world

Kurt Cagle

CEO of Semantical LLC, Contributor to Forbes and Managing Editor of Cognitive World

Twenty years ago, a group of developers and project managers met in Snowbird, Utah to create what would become known as the Agile Manifesto. While this approach has been very successful in shifting the way that development is accomplished, over the years it has had at best only moderate success in the face of increasingly data centric applications where the overwhelming majority of people involved are not in fact programmers but rather subject matter experts, analysts, curators, data story-tellers, and others. Agile, even in various incarnations such as kanban, generally fails to focus on this role. In my presentation, I'd like to focus on what I'm calling the Studio Method, which I believe is a broader approach to the methodology of creating intellectual property, making critical decisions, or even designing products. It subsumes Agile in part, but it also re-examines such things as data federation, data quality and assurance, the role of automation (machine language and IoT) and other factors in the modern business process.


Edge cloud computing is becoming increasingly popular because of its benefits in security, latency and user experience. OpenNebula is a leading open source IaaS platform to build elastic Private Clouds and manage data center virtualization, combining technologies like VMware vCenter, KVM, LXD system containers, and Firecraker micro-VMs. OpenNebula is now developing an innovative open source edge computing platform, which will include a public catalog of public cloud and bare-metal providers and their available global edge resources. This talk introduces OpenNebula's OneEdge R&D initiative and explains the project’s journey—from managing corporate data center infrastructures to its new features for serverless computing and distributed edge cloud deployments.

Edge cloud computing

Michael Abdou

Senior Project Manager OpenNebula


Optimizing Data and AI in Times of Change

Imran Ahmed

Director of Product Marketing, ADP

Even before global events shifted the world and the workforce, winning business strategies were built on data-based decisions. A recent global survey found companies that harness big data saw as much as an 8% increase in revenue and a 10% reduction in costs. Today, leveraging decision-quality data and artificial intelligence are more important than ever.


This session will demystify data and reveal its true potential as a resource to help organizations navigate today’s landscape. Beyond the average insights, AI can provide businesses with access to recommendations that help simplify complex decisions around how scarce resources should be allocated, how to schedule tasks and how to deal with constraints.



The hype around artificial intelligence and machine learning’s potential to improve infrastructure monitoring continues to grow, as does enterprise investment. However, it is hard to separate the signal from the noise when it comes to these trending technologies.

Farhan Abrol, Head of Machine Learning Products at Pure Storage outlines three key areas within monitoring that are being transformed by AI, how to best leverage their capabilities, and what you can expect for the future of AI in infrastructure monitoring. 

Planning, Detection, and Causation: The Three Pillars of AI in Monitoring

Farhan Abrol

Head of Machine Learning Products, Pure Storage


Keynote

Eric Axelrod

President & Chief Architect, DIGR

Founder, Cloud Data Summit

Gone are the days of jobs taking days to run, constant server capacity bottlenecks, and restricting business initiatives based on your ability to implement and manage systems.

Cloud IaaS, PaaS, and DWaaS platforms have fundamentally changed how systems are deployed and workloads are managed.

Many things are different. But some remain the same. Cut through the hype and see exactly how others have successfully migrated data platforms to the cloud.


Our Panelists

Topher White Headshot

Topher White

Founder and CEO, Rainforest Connection

Image 2020 04 24 At 11.51.56 Pm

Alberto P. Marti

Manager, OpenNebula

George

George Firican

Founder, Lights on Data and Consulting & Training

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