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Thoughtworks

By Gitanjali Venkatraman

Tecnologia

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Hardware is hard(er): designing for distributed user experiences in IoT - Claire Rowland, www.clairerowland.com Designing connected devices and hardware-enabled services is significantly more complex than pure software. There are more devices on which code can run, connectivity and data sharing patterns to consider, and often multiple and varied touchpoints for users to interact with. Pulling this all together into a coherent experience involves strong collaboration between design and engineering, and a systems thinking approach to UX. In this talk, we’ll introduce what designers need to know about the tech, what engineers need to know about UX for IoT, and how to facilitate the whole-collaboration needed to create great products. www.clairerowland.com

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Find out how to validate hypotheses quickly using feedback that comes from a (large enough) number of actual users interacting with your product. In this talk, we will show you the technical foundations, research techniques and organisational setup that we have used successfully on large-scale products. These will save you development time, enable you to go live with confidence, make decisions based on real behaviour instead of best guesses, and solve the actual problems your users are facing.

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As a tech leader at ThoughtWorks, a large part of my job involves recommending practices to our clients so they can build and deliver good quality software faster. In doing so repeatedly for many clients I have created a toolkit that contains practical advice from being on the ground. This is what we do, we know it works. When Julius Caesar entered Rome with his army by crossing the river Rubicon, he did something that couldn’t be undone ever again. In your journey as a leader, avoid mistakes that are difficult to correct later. Here are a set of practices that you want to adopt as soon as possible.

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Handling error conditions is a core part of the software we write. However, we often treat it as a second class citizen, obscuring our intent through abuse of null values and exceptions that make our code hard to understand and maintain. In the functional programming community, it is common to use datatypes such as Option, Either or Validated to make our intentions explicit when dealing with errors. We can leverage the compiler to verify that we are handling them instead of hoping for the best at runtime. This results in code that is clearer, without hidden path flows. We’ll show how we have been doing this in Kotlin, with the help of the Arrow library.

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Mainframes handle 30 billion business transactions each day and 87% of all credit card transactions*, they are not traditionally associated with flexible, fail-fast development approaches. Can we bring the practices of agile, CI/CD and fully automated deployments to applications running on a mainframe? During our talk, we'll tell you a story about test automation; redefining the smallest testable unit of a program. And we'll discuss our learnings from introducing continuous integration and agile practices to the world of insurance and mainframes. *9 Mainframe statistics that may surprise you

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Nothing is neutral, and the technology we design and build, isn’t objective. How do we ensure that what starts out as a great idea, doesn’t unintentionally (or intentionally) harm? Trolling, racially biased algorithms, surveillance capitalism, how do we assess our creations through an ethical lens so our products don’t amplify social biases? Do we need a code of ethics? How do we build ethics in our practice? In this talk Sofia explores these questions and builds on the conversations that are happening globally within the technology community. She also talks about the Responsible Tech Playbook that ThoughtWorks is building which collate ethical frameworks and explore how to use them in design and delivery of software. SPEAKER: Sofia Woods, Senior Experience Designer, ThoughtWorks Sofia has over 10 years experience solving complex problems and designing digital products, experiences and services across government, financial services, transport and the private sectors. She’s a multi-disciplined designer, experienced with the whole gamut of Human Centred Design approaches including UX research, user interface design, prototyping/ testing and can apply this approach in large scale software delivery environments. Blending human centred design with strategy and technology, she creates meaningful experiences that transform.

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Machine learning offers huge potential across digital products but it continues to come with so much hype that it leaves us with more questions than answers. What new thing can we build we couldn't before? How do we introduce intelligence into existing products? How much data do we really need? In this talk we've given an overview of practical concerns regarding building machine learning powered products through a set of standard product management lenses including customer value, commercial viability, technical feasibility and end usability. We step back and consider the strategic implications of Machine Learning and the potential to build sustainable competitive advantage, before diving into the practicalities of establishing ML product teams.

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The evolving nature of cyber threats makes security a strategic imperative, and a collective responsibility. Today’s business leaders have a duty to set the tone from the top, taking steps to ensure security extends beyond technology to become part of organisational culture. This talk explores why security is no longer a technology issue with technical solutions, but a board-level priority that needs to be factored into the highest levels of corporate strategy.

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Single-line of defence security is no longer enough. Organisations need to build security across everything they do - business processes, data handling, platforms, products and services, and understand security as an evolving, responsive, agile setup. In this talk, Dave explains how technology foundations for secure product development and an agile security setup across the board can promote sustainable innovation and enhance cyber-resilience overall.

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Your Data Scientists or Machine Learning experts have developed a machine learning model which runs perfectly in your notebook? Now you want to deploy it into corporate IT to let it run “in the wild”. And a bunch of new problems comes up: How to integrate the work of your data scientists and machine learning experts into the development processes like CI/CD of your corporate IT? How to prevent a “throw-it-over-the-fence” mentality? How to test, monitor and continuously improve your machine learning application “in the wild”? In a compact workshop, we will discuss the new challenges of integrating machine learning approaches in modern IT development processes and demonstrate our “Continuous Delivery for Machine Learning” (CD4ML) methodology with some live coding examples.

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Who we meet, what we choose to do, and the costs of our choices, are increasingly influenced and even driven by software systems, algorithms and infrastructure. The decisions underlying how those work are made by people just like you. This talk challenges the audience to consider the ongoing implications of decisions made early in the design process, and provides practical examples of translating moral standpoints into real-world implementations. Presented by ThoughtWorks Principle Data Engineer Simon Aubury and Project Manager Dr. Maia Sauren.

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Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

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Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented "Driving Behavioral Change for Information Management through Data-Driven Green Strategy" on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida. In this presentation, Urmi and Fernando discussed a case study describing how the information management division in a large supply chain organization drove user behavior change through awareness of the carbon footprint of their duplicated and near-duplicated content, identified via advanced data analytics. Check out their presentation to gain valuable perspectives on utilizing data-driven strategies to influence positive behavioral shifts and support sustainability initiatives within your organization. In this session, participants gained answers to the following questions: - What is a Green Information Management (IM) Strategy, and why should you have one? - How can Artificial Intelligence (AI) and Machine Learning (ML) support your Green IM Strategy through content deduplication? - How can an organization use insights into their data to influence employee behavior for IM? - How can you reap additional benefits from content reduction that go beyond Green IM?

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In an era where artificial intelligence (AI) stands at the forefront of business innovation, Information Architecture (IA) is at the core of functionality. See “There’s No AI Without IA” – (from 2016 but even more relevant today) Understanding and leveraging how Information Architecture (IA) supports AI synergies between knowledge engineering and prompt engineering is critical for senior leaders looking to successfully deploy AI for internal and externally facing knowledge processes. This webinar be a high-level overview of the methodologies that can elevate AI-driven knowledge processes supporting both employees and customers. Core Insights Include: Strategic Knowledge Engineering: Delve into how structuring AI's knowledge base is required to prevent hallucinations, enable contextual retrieval of accurate information. This will include discussion of gold standard libraries of use cases support testing various LLMs and structures and configurations of knowledge base. Precision in Prompt Engineering: Learn the art of crafting prompts that direct AI to deliver targeted, relevant responses, thereby optimizing customer experiences and business outcomes. Unified Approach for Enhanced AI Performance: Explore the intersection of knowledge and prompt engineering to develop AI systems that are not only more responsive but also aligned with overarching business strategies. Guiding Principles for Implementation: Equip yourself with best practices, ethical guidelines, and strategic considerations for embedding these technologies into your business ecosystem effectively. This webinar is designed to empower business and technology leaders with the knowledge to harness the full potential of AI, ensuring their organizations not only keep pace with digital transformation but lead the charge. Join us to map a roadmap to fully leverage Information Architecture (IA) and AI chart a course towards a future where AI is a key pillar of strategic innovation and business success.

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Discord is a free app offering voice, video, and text chat functionalities, primarily catering to the gaming community. It serves as a hub for users to create and join servers tailored to their interests. Discord’s ecosystem comprises servers, each functioning as a distinct online community with its own channels dedicated to specific topics or activities. Users can engage in text-based discussions, voice calls, or video chats within these channels. Understanding Discord Servers Discord servers are virtual spaces where users congregate to interact, share content, and build communities. Servers may revolve around gaming, hobbies, interests, or fandoms, providing a platform for like-minded individuals to connect. Communication Features Discord offers a range of communication tools, including text channels for messaging, voice channels for real-time audio conversations, and video channels for face-to-face interactions. These features facilitate seamless communication and collaboration. What Does NSFW Mean? The acronym NSFW stands for “Not Safe For Work,” indicating content that may be inappropriate for professional or public settings. NSFW Content NSFW content encompasses material that is sexually explicit, violent, or otherwise graphic in nature. It often includes nudity, profanity, or depictions of sensitive topics.

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