Name: Welcome and “Next $100B in Data”
Start: 2021-10-13T16:00:00Z
End: 2021-10-13T16:01:04.000Z
Location: BrightTALK
Rating: 5

A virtual industry event bringing together the creative, the audacious, and the visionary for a look at what’s next in data, systems, and decision-making.

In this Future Data edition of their engaging Clubhouse series, a16z Co-Founder Ben Horowitz and Databricks Co-founder and CEO Ali Ghodsi join Sisu Founder and CEO Peter Bailis for a discussion on leadership, management, and more.

Boss Talk: Future Data Edition

Grab a seat as Peter Bailis, Founder and CEO of Sisu Data and data leaders from The New York Times, SiriusXM, and Zynga discuss the state of data today and how they see it changing the role of analysts and decision-makers in the future.

Future of Data: Gaming, Entertainment, Media

In this short, rapid-fire Q&A session Bruno Aziza (data luminary, entrepreneur, and head of data & analytics at Google Cloud) will answer questions posed directly by our audience. Topics of interest will include near-term trends in data and analytics, how the role of data is evolving over the next 18-36 months, and how data teams should plan to meet coming data trends. Bruno will be timed, having only 3 minutes to answer each question, so this session should get pretty lively!
Let us know if you have questions you’d like Bruno to answer -- ask them via Twitter, tagging @futuredataconf and feel free to include @brunoaziza if you do!

Rapid Fire: Answering your Questions about Real-World Data Trends

Today, having hundreds of terabytes of data is no longer uncommon for many companies. Executives and business users alike expect access to high quality near real time data insights. New data tools are popping up almost daily offering solutions to new and old problems. Data teams cannot afford to spend years building solutions because what we do today will be legacy tomorrow. 

Let’s take a pragmatic approach by learning from the old and embracing the new while being agile and creative.

Today is Tomorrow's Legacy

In this panel discussion, we’ll look at how diversity in data teams eliminates bias in analysis, allows teams to be more agile in their responses, and accelerates the analytics workflow.

Speakers:
Moderator - Rehgan Avon, Founder and CEO, Women in Analytics
Berit Hoffman, CPO, Sisu Data
Juliana Lam, Lead Data Analyst, Equinox
Meredith Machovoe, Head of Business Insights, ServiceNow
Ramya Chekuri, Head of Data, Equinox

Widening the Table (sponsored by Women in Analytics)

The devops movement transformed system administration--once manual, painstaking work--into scalable software. One of the key breakthroughs: developing a common way to "script" behaviors across a whole set of tools so as to create coherent end-to-end workflows for their users (software developers). In the modern data stack we haven't gotten there yet, and a proliferation of disconnected tools is one of the drags on the productivity of data professionals—even those with cutting-edge tooling. Is there a path towards changing this?

Infrastructure-as-Code and the Modern Data Experience

We often think about the future in technological terms: Five years from now, what will we have invented? What magical thing will be possible that we can’t even imagine today? Data is no different. The transformational changes on our horizon, we’re told, are smarter AIs, faster computation engines, and new tools that make it easier to store, catalog, process, stream, and analyze data. Our future, it seems, depends on the technologies we build.

I believe we should envision the future through a different lens. As a data community, we should be asking ourselves: What experiences do we want to create?

In this talk, I’ll talk about the past and future of the modern data stack—not as a collection of tools or as an architectural diagram, but as an experience. The talk will describe how the current stack can create experiential chaos, offer a proposal for what we can do about it, and provide a roadmap for how we can get there.

The Future is an Experience

On the surface, most people agree that data should be managed. They seem to also believe it is product like. Why, then, is it so hard to manage data as a product? During this talk, I’ll focus on key issues that block enterprises from truly treating data like a product, and suggest ideas for overcoming those blockers. No one has all the answers, but I hope this can be a starting point for these challenging discussions.

Data Is a Product: What Keeps Us From Managing It Like One?

How is today’s data landscape changing the role and responsibility of Chief Data and Analytics Officers in today’s businesses? Join Sol Rashidi, CAO of Estee Lauder, to hear her take on how her role is evolving.

Changing role of CDO

Sisu Future Data 2021

Join us as we kickoff the second annual Future Data conference. We’ll share welcoming remarks, walk through the format of the day, and get everyone ready for our in-depth technical sessions.

Welcome and “Next $100B in Data”

Sisu Data

Analytics

Data Analysis

Data Analytics

Data Best Practices

Data Backup

Data Architecture

Data Breach

Data

Analyst

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Welcome and “Next $100B in Data”

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