Agile India 2016 Conference

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Agile India 2016 Conference is Asia's Largest and Premier Conference on Agile, Scrum, eXtreme Programming, Lean, Kanban, DevOps, Enterprise Agile, Lean Startup, Continuous Delivery, Research and Patterns. Get to meet pioneers and expert practitioners from around the world on Agile Adoption, Scaling Agile, Offshore Agile and Distributed Agile. 14 - 21 March 2016 at Chancery Pavilion, Bangalore. More details: http://2016.agileindia.org

Software

LEARN SHARE NETWORK
AGILE INDIA 2016
Hotel Chancery Pavilion, Bangalore
March 14th - 21st 2016
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AGILE INDIA 2016: AGENDA
March 14th: Pre-Conference Workshops from our international experts.
March 15th: Agile Leadership
March 16th: Agile Team Culture
March 17th: Enterprise Agile
March 18th: Continuous Delivery and DevOps
March 19th: Lean Startup
March 20th -22nd: Post-Conference Workshops from our international experts.
Targeted at Founders, CxO, Executives, Sr. Managers, Product Owners/Managers, Agile
Coaches, ScrumMasters, Architects, Business Analysts, SMEs, Developers, UX Designers,
Testers & Technical Writers.

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2016 CONFERENCE PROGRAM
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https://confengine.com/agile-india-2016/schedule

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AGILE INDIA 2016 SPEAKERS
Agile India 2015 is proud to present 73 global Thought Leaders
and Practitioners in Agile, Lean & Patterns from 9 countries
under one roof.
91 Proposals from 216 Submitted Proposal
87 Speakers from 18 Countries

Delegates from 18 Countries
Agile India 2016 hosted:
1542 Participants
384 Unique Roles
289 Organisations

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REGISTRATION
9
Total 1542 Registrations over 18 Weeks
318 Registration in the last 5 days!

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PROGRAM COMMITTEE
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Tathagat Varma Nitin Ramrakhyani
Joel Tosi Shiv Sivaguru
Ravi Kumar Evan Leybourn
Ellen Grove Leena S N
Naresh Jain
Continuous Delivery & DevOps
Enterprise Agile
Agile Team Culture
Lean Startup
Conference Chair

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POST CONF WORKSHOPS
11

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AGILE 2016 SPONSORS
12

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CONF MOBILE APP
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SSID agileindia2016 Password #agileindia2016
ENGAGE

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Naresh Jain / Founder
naresh@agileindia.org
For Additional Information, Please Contact:
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CONTACT US...

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Setting up Continuous Delivery Culture for a Large Scale Mobile App

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Modern human history is a story of humans inventing new tools to do more with less. "Doing more" has allowed most of us to no longer worry about producing our own food, collecting water, planning long journeys, etc. Instead, we’re able to specialize, buy what we need for less, and to some extent explore ourselves a lot more. We're far from done, and of course humanity is far from perfect. In this talk, Mitchell Hashimoto discusses the role that automations and computers play in building a brighter future. More details: https://confengine.com/agile-india-2017/proposal/3618/towards-futureops-stable-repeatable-environments-from-dev-to-prod

Towards FutureOps: Stable, Repeatable environments from Dev to Prod

Naresh Jain

Agile, OOP... are like good hygiene in the kitchen, it results in meals with consistent quality and predictable prep and service times. It doesn't result in great meals nor substantially impact the ROI! Lean Thinking clearly shows that the only way to make a significant impact is to improve the value chain by improving flow. If everyone is following best practices no one has competitive advantage. Major improvements in the value chain depend on continued disruptive innovations. Innovations leverage people and their ideas. We use case studies to illustrate the different business and technical innovations and their impact. We conclude with a discussion of how to build and leverage an innovation culture versus a sprint death march when dealing with high value time to market projects. More details: https://confengine.com/agile-india-2017/proposal/3608/value-driven-development-maximum-impact-maximum-speed

Value Driven Development by Dave Thomas

Naresh Jain

We are constantly presented with trade-offs when writing software. What are the trade-offs when applying functional programming? What costs arise? When is it not worth doing? When should pragmatism kick in and when should we start using side-effects? This talk will give you some tools to be able to answer the above questions for both functional programming and types. The tools have been refined over many professional years of both doing and not doing purely functional programming. More details: https://confengine.com/functional-conf-2016/proposal/3137/no-silver-bullets-in-functional-programming

No Silver Bullets in Functional Programming by Brian McKenna

Naresh Jain

This talk will explain the secret of the success of the Eclipse Platform team. The Eclipse Way is an agile software development process that we started right at the beginning when we started to develop Eclipse back in 1999. It was and is used by the Eclipse Platform team and got continuously improved over time. During the session you will hear about all our practices, like milestones, early and iterative planning, continuous integration and the endgame. I will also reveal some of the history behind the Eclipse top-level project. More details: https://confengine.com/eclipse-summit-2016/proposal/2386/the-eclipse-way

The Eclipse Way

Naresh Jain

Refactoring is a series of small steps, each of which changes the program’s internal structure without changing its external behaviour. Refactoring, as a tool, to automate behaviour-preserving transformations to source code are not only very popular in agile development environments, but have been widely established as a cornerstone of the daily software development process, regardless of the methodology being used. Most major development environments such as Eclipse offer a set of powerful refactoring to substantially increase development productivity. In this live demo, I’ll show * the real value of refactoring, * how we practice it safely, * when and why we refactor, * the power of refactoring tools and * when we avoid refactoring. I’ll be using two real-world examples of refactoring and sharing what I’ve learned about this important practice of the last 15 years.

Unleashing the Power of Automated Refactoring with JDT

Naresh Jain

Do you want to harness the deeper power of games – the power to drive long-term engagement? Are you ready to look beyond the silver bullets & Skinner boxes – and learn to think like a game designer? In this talk, you’ll learn the foundations of Game Thinking - brought to life with front-line stories from eBay, Ultima Online, The Sims, Rock Band, Covet Fashion, Happify, Lumosity and Slack. You’ll come away with a smarter approach to innovative product design - and practical, actionable design tips you can use right away to turbo-charge your path towards product/market fit. More details: https://confengine.com/agile-india-2016/proposal/1961/getting2alpha-turbo-charge-your-product-with-game-thinking

Getting2Alpha: Turbo-charge your product with Game Thinking by Amy Jo Kim

Naresh Jain

A successful startup/product company needs to master the art of validating early product ideas quickly and effectively. Whether you are building a product, service or a new feature, the two most important questions to find out early are: * are we solving the right problem? * if yes, how do we pitch the idea to the target customer to generate a favourable action? During this session, we'll focus on various safe-fail experimentation techniques used by Lean Startups for quickly identifying and validating the customer's value hypothesis, without having to build the real product. You will leave this session equipped with various MVP design techniques, that will allow you to rapidly discover a viable product/service that delights your customers, without spending a lot of time and effort. Traditionally, entrepreneurs believed that the only way to test their product/service hypothesis was to build the best-in-class product/service in that category, launch it, and then pray. Most often, products/services fail, not because they cannot be built or delivered. But because, they lack the market-fitment and customer appeal. To avoid these risks, these days startups are focusing on building a "Minimum Viable Product" (MVP), a product that includes just enough core features to allow useful feedback from early adopters. This reduces the time to market and allows the company to build subsequent customer-driven versions of the product. Hence mitigating the likelihood of wasting time on features that nobody wants. MVPs are typically deployed to a subset of customers, such as early adopters that are more forgiving, more likely to give valuable feedback. However the problem with MVPs is that companies still spend too much time building stuff and very little time learning. Don't forget the purpose of MVP is validated learning NOT building. This session will give you ideas on how to quickly formulate and test your value and growth hypothesis in a scientific framework using extremely cheap MVP techniques collectively referred to as MVP Design Hacks. More details: http://agilefaqs.com/services/training/crafting-out-mvps and http://agilefaqs.com/services/training/product-discovery

MVP Design Hacks

Naresh Jain

Over the past decade, eXtreme Programming practices like Test-Driven Development (TDD), Behavior Driven Developer (BDD), Refactoring and Continuous Integration have fundamentally changed software development processes and inherently how engineers work. Practitioners claim that it has helped them significantly improve their development speed, design quality and responsiveness to changing requirements. Software professionals across the board, from Internet startups to medical device companies to space research organizations, today have embraced these practices. But can these practices be applied to front-end development? Especially jQuery plugin development? This demo will show how we can test drive a jQuery plugin with the help of various patterns, strategies, tools and techniques. Participants will understand how they can apply this approach for testing any jQuery code.

Test Driving a jQuery Plugin

Naresh Jain

In order to successful scale any method or practice, it has to have some basis in theory. This presentation will use insights from complex adaptive systems theory and the cognitive sciences to lay a foundation for that theory. Seeing software development as a problem of knowledge management, the theory will elaborate a understanding of applications as the emergent property of a co-evolutionary interactions between technology capability and unarticulated user requirements. Having established a basic theory a range of methods and tools will be elaborated. These include: - Narrative based approaches to requirements capture (not to be confused with Story telling or story boarding) which gather thousands of fragmented self-signified anecdotes relating to real and imagined needs within a user community and allow interpretation and integration into project planning. - Approaches to project planning and implementation that focus on the creation of self-organising teams of specialists and users to create novel approaches, supported by evidence to previously intractable problems. This is particularly relevant to the 5-10% of any major project which creates 95-90% of the grief. - The integration of tools such as blogs, wiki's etc into the development environment. Too often corporate environments over-constrain those tools into over rigid structures which destroy their utility.

Making Sense Through Action by Dave Snowden

Naresh Jain

Given a problem, most of us have a decent idea of how to model the problem in an Object-Oriented world. We can use principles like SOLID, GRASP, "Keep It DRY, Shy, and Tell the Other Guy" and so on to guide our design. In my experience, if you apply these principles recursively, (esp. on certain problems) you will notice, that you start drifting towards functional style of programming. For example, your object evolve to have single functions and gradually you can make the classes immutable. This leads to pure function without side-effects. At that point, you can turn them into closures (a poor man's object.) Eventually this leads to higher-order functions, which can be used as first class-citizens. Further more, you can express your domain behavior in terms of generic functions like map and reduce, which can be chained or composed to really simplify your logic and make your design more communicative. At this stage, you can really feel the difference between a declarative vs. imperative style of programming. If time permits, we can also look at how to apply concepts like partial function application, currying, lazy evaluation and infinite data-structures to tackle complexity and design for scalability. If this sounds interesting, join us for a code-along session, where we'll take a problem and incrementally evolve the design from OO to more of a functional style. Key Take-ways: 1. Introduction to Functional thinking 2. Demystify some of the core Functional Programming concepts and jargons 3. Understand how to evolve to a Functional style and its advantages Agenda: * Object-Oriented Design Principles (SOLID, DRY) * Functional Concepts ** Single Abstract Method (SAM) ** Pure Functions ** Immutability ** High-Order Functions ** Lambda Expressions ** Lazy evaluation ** Functional Composition ** Declarative vs. Imperative programming style * Quick Demo - Java 8 Functional Features

Oh Oh To Functional

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In the past six months, the AI landscape has undergone a massive transformation, ushering in a new era of productivity with the latest in Large Language Models (LLMs) and AI technology. This deep dive unlocks how to: Create CustomGPT Models: No coding needed to tailor AI for your unique projects. Integrate your own data, including PDFs and Excel sheets, making information handling a breeze. Plus, discover how to call your own actions/integrations for even more personalized utility. Navigate Advanced Prompting: Overcome AI's memory limits and utilize Retrieval-Augmented Generation for accessing your personalized data, streamlining how you interact with AI. Stay Ahead with AI Trends: Peek into the evolving world of LLMs, featuring newcomers like Google Gemini, Anthropic Claude, Open Sora, and Twitter Grok, and understand what their advancements mean for your productivity. Witness Real-Life Transformations: Through examples and prompt demonstrations, see firsthand how these AI strategies revolutionize routine tasks, from data analysis to content creation. Learn to leverage image output and input for advanced practical use cases, adding a new dimension to your productivity toolkit. No previous coding or AI experience is needed for this talk. Stay ahead in the fast-evolving world of work. Embrace the AI revolution and transform your workflow with advanced LLM techniques. Join us to ensure you're not left behind in the productivity race.

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VictorSzoltysek

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ADR, or Architecture Decision Record, is a valuable tool in software development for several reasons. It provides a centralized location for documenting and tracking architectural decisions, aiding both current and future team members. ADRs enhance communication among team members by documenting the rationale behind architectural decisions, especially beneficial during onboarding of new team members or when revisiting decisions. They serve as a knowledge base, enabling teams to learn from past decisions and refine their decision-making process. Additionally, ADRs contribute to transparency by helping stakeholders understand the reasons behind specific architectural choices. As with any other tool or process, introducing them into an organization can face several obstacles, and overcoming these challenges is crucial for successful implementation. In this talk I go through some common problems and our way of solving them.

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Foundation models are machine learning models which are easily capable of performing variable tasks on large and huge datasets. FMs have managed to get a lot of attention due to this feature of handling large datasets. It can do text generation, video editing to protein folding and robotics. In case we believe that FMs can help the hospitals and patients in any way, we need to perform some important evaluations, tests to test these assumptions. In this review, we take a walk through Fms and their evaluation regimes assumed clinical value. To clarify on this topic, we reviewed no less than 80 clinical FMs built from the EMR data. We added all the models trained on structured and unstructured data. We are referring to this combination of structured and unstructured EMR data or clinical data.

Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...

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Agile India 2016 Conference

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