Name: Data Platform in a mesh architecture
Start: 2021-11-11T12:01:00Z
End: 2021-11-11T12:02:24.000Z
Location: BrightTALK
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We are a leading global technology consultancy that integrates strategy, design and software engineering to enable enterprises and technology disruptors across the globe to thrive as modern digital businesses.

When technology is the way to differentiate and complexity stands in your way, we help you build the capabilities needed for your digital evolution.

Thoughtworks recently worked with an insurance platform provider to move their next big platform to the cloud. The client had over 40 years presence in the market but largely relied on their cash cow product and needed to modernise their offerings to keep up with the increasingly digital market. Seema Satish & Cat Morris worked with their existing release management team to migrate their on-premise tech assets to Microsoft Azure.
In this talk we will highlight our difficulties with tech, product and people and what victories we had in managing them. We’ll share how our experience wasn’t as simple as a “Wingardium Leviosa” spell from Harry Potter!

Why you can’t just Wingardium Leviosa into the cloud

Every company in the world is going to face pressures to understand their carbon footprint and decarbonize what they do. Adrian Cockroft, VP of Sustainability Architecture at Amazon joined us live from AWS’ re:Invent 2021 to discuss more on their sustainability journey to the 2040 Climate Pledge. Listen to this fireside chat to hear the challenges, the benefits and the opportunities for companies that embrace the commitment to sustainability.

Episode highlights:
1. AWS is looking at the spectrum of sustainability: carbon, decarbonizing, circular economy, recycling, limiting single use materials, social responsibility – to understand how to get Amazon to act more sustainability that’s specific to their departments
2. There is no off-the-shelf solution for sustainable plans. Every market and industry is different and sustainability needs for partners and any company must be customized
3. Sustainability is a broad and confusing space. There are challenges in understanding how to measure carbon footprint and understanding Scope 3 carbon emissions in order to manage it down to reduce emissions
4. Supply chain and impact areas. Companies will need to look at their raw materials and do the math to understand where most of the carbon is going, being consumed – where is the money being spent and where is the bigger carbon footprint? Things like data centers, buildings– sometimes making a small imprint to the bigger footprint makes better progress. When we get companies to lean into the commitment to make it sustainable by 2040, then suppliers will figure out how to make it sustainable.
5. Similar to digital transformation, sustainability transformation requires agility. It requires a new mental mindset and culture for sustainability.

Digital sustainability: The 2040 corporate commitment

Organizations are struggling to empower employees to make informed and timely decisions using data. Traditional data warehousing approaches and data lakes, are less effective at supporting diverse use cases. Data Mesh, developed by Thoughtworks, has become popular as a true paradigm shift -  a domain-driven analytical data architecture where data is treated as a product, designed to accommodate many specific use cases and owned by teams that know and consume it. In this 15mins talk by Thoughtworks, an AWS partner, presented at AWS re:Invent 2021, John Spens will discuss the principles of data mesh, diverse use cases, live customer examples and ways to successfully create a data-driven organization.

Using data mesh to deliver extraordinary impact

87% of the Data science projects don't make it to production as published by VentureBeat. With the amount of time, resources, and infrastructure being spent on machine learning to get the projects into production, organizations are more invested than ever to get their MLOps right. 

In this webinar, Randy DeFauw from Amazon Web Services and Eric Nagler from Thoughtworks will talk about how MLOps and CD4ML combine the creative process of data scientists with software engineering methods. In addition, our experts will use customer examples to show you how you can put ML products into practice safely, quickly and sustainably. They will also unpack techniques and practices to help ensure AI is not just capable of delivering a return on investment but also contributes to the organization’s strategy and innovation portfolio.

How to get MLOps right with Continuous Delivery for Machine Learning and AWS

Thoughtworks and Amazon Web Services bring you an exclusive digital innovation webinar series focused on stories of customer obsessed invention and reinvention, told by business leaders across the globe.

bp set out on their innovation journey to respond to tectonic shifts in the marketplace by reinventing how they engaged with consumers. By keeping customers at the center, bp focused attention on delivering lifetime value propositions and built upon a holistic approach across product and service development. This enabled them to accelerate time to value, deliver at scale and support the needs of their customers.

Join us for a 60-minute fireside chat covering the below areas:
1. Des Johnson, Vice President, Customer Experience & Digital Product Delivery and Andre Holz, Global Product Digital Manager at bp outlining their transformational journey. 
2.  It will provide you an opportunity to reflect on where you are on your journey and discover options for accelerating your path to customer centric innovation.

Harnessing customer obsession to fuel growth - bp’s digital innovation journey

In this webinar we will focus on the how of Data Mesh and share tangible success stories that bridge the theory and implementation. Sina Jahan and Zhamak Dehghani will discuss an influential Data Mesh implementation at a large scale Fortune 50 enterprise.

What you will take away:
1. Using the four principles of the Data Mesh as lenses to understand our 3 year journey
2. A tangible understanding of what a Data Mesh implementation would look like
3. A look at the products, architecture, API design of a Data Mesh implementation
4. Roadblocks, friction and lessons learned by implementing Data Mesh with constraints from the health care domain and capabilities of major cloud providers

Data Mesh in Practice: Lessons from the trenches

In this webinar, Randy DeFauw from Amazon Web Services and Eric Nagler from Thoughtworks will talk about how MLOps and CD4ML combine the creative process of data scientists with software engineering methods. In addition, our experts will use customer examples to show you how you can put ML products into practice safely, quickly and sustainably. They will also unpack techniques and practices to help ensure AI is not just capable of delivering return on investment, but also contributes to the organization’s strategy and innovation portfolio.

How to get MLOps right by Thoughtworks and AWS

Data Mesh promises organisations the ability to accelerate their ability to derive value from their data. But, how do we ensure that we move fast without breaking things? Sustainable innovation must coexist with regulation, risk management, security and compatibility concerns.
 
In this webinar, Zhamak Dehghani will explain how Data Mesh addresses governance needs through “federated computational governance”. We will then have a panel discussion with Chris Ford (Head of Technology for Thoughtworks Spain), Jason Hare (Data Governance and Information Assurance expert) and Zhamak where we will relate the Data Mesh approach to data management and governance as practiced in the software industry at large.

Data Mesh and Governance

In this talk Danilo Sato and Zhamak Dehghani explore the principle of "domain-driven ownership of data" and why it is a foundational pillar for data mesh. They will share approaches to tackle some of the common hard problems around identifying domain boundaries, and how to contrast data mesh with a more traditional centralized approach to master data management. Finally, they will discuss ways of starting on the transformation journey towards a domain-driven approach to data ownership.

Data Mesh and domain ownership

Businesses are realizing that surviving COVID is just the beginning; further disruption is imminent. In this webinar, we’ll use the lens from the Looking Glass to help business executives understand how to thrive amid ongoing uncertainty — even those which have undergone digital transformation — and explore how to keep technology at the core of the business growth and plot a path forward. If you want to get ahead of the disruption, this webinar is for you.

Succeeding in the age of disruption

Many business leaders already recognize the transformative benefits that moving to the cloud can bring. Less well understood is the complexity of managing your cloud infrastructure. But if you want cloud to transform your business and deliver value for your customers, you’ll need to build modern infrastructure management capabilities. Here’s where Infrastructure as Code comes in. 

In this webinar, Kief Morris, author of the landmark book Infrastructure as Code — now available in a fully updated second edition — explores how can Infrastructure as Code enables enterprises to embrace cloud so that it becomes an effective driver of business value.

Application-Driven Infrastructure Strategy

Over the past decade, businesses have invested heavily in "big data" projects, only to find many of those investments failing to deliver their promised value. The experience shows that this low return on investment results from a pattern present in businesses of all sizes and in all industries; namely, centralized data ownership, which creates organizational and technical bottlenecks which throttle the pace at which value from data can be timely delivered.

In this webinar Emily Gorcenski, Head of Data at ThoughtWorks Germany, and Arif Wider, fellow technology consultant at ThoughtWorks, present the Data Mesh concept as a technical and organizational solution to the problem and explore how reshaping our thinking about data can finally allow us to tap the full value stream of our data assets.

Data Mesh - Unlocking Data Value in the Enterprise

In this talk Zhamak Dehghani, Director of Emerging Technologies at ThoughtWorks, explores the principle of "data as a product" and describes how this simple change in perspective has a deep and profound impact on how we collect, serve and manage data; how we treat the data consumers as customers and how we provide experiences that delight.

Data as a Product is one of the foundational pillars to move toward growing an innovation culture where data is readily and safely available for experimentation.

Data as a Product

As the Financial Services sector gears up for another year of unforeseen changes and an accelerated pace of digital adoption, risk and compliance professionals must think how to enhance operational excellence with technology.

Policymakers and regulators are going to rely more and more on technology to drive controls and beef up security. Legal and compliance teams will be expected to leverage tech to drive automation and data-led decisions.

In this webinar, our speakers discussed three emerging tech trends that are transforming risk management. Thinking beyond traditional methods of supervising, monitoring, and analyzing data to empower people and achieve greater operational efficiencies.

Rethinking Risk and Compliance in Financial Services

The developments around COVID-19 are forcing organisations to move to remote work. In this panel discussion, ThoughtWorks Germany shares insights and best practices to make remote work as efficient and enjoyable as possible for your teams.

Successful despite remote setup: Learnings & Best Practices (in German)

Access to data typically requires multiple conversations, tickets and approvals. Data mesh seeks to eliminate the friction to deliver quality data for producers and enable consumers to discover, understand and use the data at rapid speed. This approach ensures compliance and security and can significantly lower the lead time to get insights from data. 

In this talk Emily and Zhamak will talk about data platforms in a mesh architecture. They will cover topics such as what does it take to make data sets independently understandable? How do we empower individual domain teams to deliver data products, while lowering their cognitive load? How do we build a platform that enables data generalists and reduces the need for specialization?

Data Platform in a mesh architecture

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Data Mesh

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