Business Orchestration: Strategic Leadership in the Era of Digital Convergence


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About this product Product Information Digital convergence is redefining industries, and putting information, knowledge and collaboration at the heart of strategic leadership and management. In the face of such change it is those leaders who can orchestrate a complex network of employees, customers and suppliers in a single ongoing learning experience that will succeed.

Exploring four learning roles for customers information acquirer; explorer; performer; inventor and orchestrators conductor; architect; auctioneer; promoter , Business Orchestration provides a strategic view of how to harness digital convergence by mobilizing and integrating the resources of other companies to create business value. Additional Product Features Dewey Edition.

Part I: Conditions for Prime Movership. Part II: Learning Contexts. The Business Idea. The Business Leader as Statesman. Orchestration and the World of People. Show More Show Less. Pre-owned Pre-owned. No ratings or reviews yet. The purpose of this paper is to focus on issues concerning servitisation and customisation, enterprise resource planning ERP and Lean-agile, supply chain orchestration, corporate social responsibility CSR and Lean for design management.

Published on Jan 1, Zachary Kodheck Makori 1 Estimated H-index: 1. Service stations along global knowledge pipelines - on innovation intermediaries' function in fostering globalized innovation processes. Emily Wise 5 Estimated H-index: 5. Innovation is an interactive learning process that is facilitated naturally by geographic proximity.

Innovation intermediaries can serve as an extra catalyst to and facilitator of interaction and collaboration.

Value-creating systems and business models: systems thinking inside

Although linkages with other actors internationally can offer related kno Estimated H-index: 5. Estimated H-index: 2. The food industry is today one of the most globalized industries and subjected to growing strains. Globalization and the shift towards innovation-driven knowledge-based competitiveness between firms and regions have rendered traditional national and regional policies and concerted efforts for enhancing industrial economy and prosperity less effective. It is not just a matter of slicing up of value chains and relocating various sta A model for the formulation of strategic intent based on a comparison of business and the military.

Published on Oct 10, Colin George Brand. Spohrer , S. A typical response from testing professional is to pick up some automation skill - but will that alone be sufficient? Or is there something else that is needed. Well you can say I bring tester mindset — but what on earth is that? Who in the testing team are most valued today - what skills are they bringing on the table what have they done to re-define themselves? Based on practical observation and research in my job as India FS testing leader for Capgemini leading a team of about 10K testing professionals I want to share my learning and best practices with my fellow industry professionals.

About the Speaker I have significant experience in IT services industry having strong technology focus coupled with business acumen.

Description

In my role I have managed large scale delivery and operations while keeping a strong customer relationship and focus on business growth. Have lead globally distributed work-force in US Europe Mexico Brazil Malaysia and India and adept at working in multi-cultural setting. In my career spanning about 25 years I have lead large delivery teams set-up and grown various technology practices managed important customer accounts and handled large scale operations approx.

Prior to joining Capgemini I played dual role at Dell services - 1. Global head of testing practice. Operations and Resource management head of Applications Business Unit. Specialties: Technology - Application testing Emerging technologies with special interest in IoT Cloud Computing and application modernization. Dhiraj Sinha Capgemini.

Value-creating systems and business models: systems thinking inside – Coevolving Innovations

Rishabh Tripathi. This is a result of 40 long years building Business domain expertise periodic Technological adaptions to meet Customer expectations and strategizing to stay ahead of the game! For a Product company of such repute and scale moving from licensed revenue model to subscription based revenue model in a short time span means there is a need to break out of the ordinary and think out of the box not withstanding the high stakes! Strategic measures in this direction are but not limited to the following: - Pursuing a Diamond Quality Process Quality at the center of everything!

Vadeesh Budramane. Quality since Inception powered by Intelligent QA Situation and complication: In this digital age products require refresh in short order for reasons such as SaaS enablement UX refresh supporting analytics enabling community support extending product to be a platform improving interoperability and so on. As a result companies specially software companies are under tremendous cost-and-time pressure. Companies that took several years to bring out a product now want to shorten the cycle to a couple of quarters between ideation market testing and product release.

Key thought: Software testing powered by Intelligent QA an amalgamation of automation AI machine learning and deep technology will allows quality to be induced right from the design of the software through to its build-test-deploy cycle. It will make quality the responsibility of every individual in the team thus focusing on Quality since Inception. Quality Assurance QA no more remains a role dedicated to the tester alone.

It has moved beyond a role to a culture of imbibing Quality since Inception. It allows quality to be induced right from the design of the software through to its build-test-deploy cycle. It optimizes and automates the testing process that seamlessly integrates into the build-develop-deploy cycle. This makes testing and quality look beyond the tester. For instance traditional software testing was a scheduled activity carried out by the tester in isolation of the development.

Testing was manual resource-intensive with no standardization and error-prone. Today automation and artificial intelligence has turned tables for software testing. With the advent of Intelligent QA the testing process is automated with tools that allow standardization accuracy and complete coverage of the testing process.


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What lies in the future: The future of Intelligent QA will not just be to replace the repetitive monotonous tasks of a tester but will empower the entire software development team with powerful tools and techniques that will be suggestive through self-learning easy to use and implement. It will make quality the responsibility of every individual in the team. Software development will now more work in silos of build-test-deploy.

Quality will be infused since inception as a culture that is backed and powered by Intelligent QA. He has spent all his career working on product engineering and testing in various domain spanning real-time embedded systems automotive control systems telecom switching healthcare financial services education and retail. He has built significant platforms ground up in the areas of analytics interoperability and consumerism. In Vadeesh embarked on his entrepreneurial journey.

He conceptualised AlgoShack Technologies. AlgoShack is a start-up born agile platform company that transforms software delivery by leveraging Artificial Intelligence and Deep Technology. AlgoShack's current focus is on building a testing platform algoQA that re-imagines testing by leveraging Artificial Intelligence and Machine Learning.

The platform automates the testing process and auto-generates work products used for testing. With algoQA anyone can test. Dr Shankar Ramamoorthy. He believes in evangelizing coaching and mentoring test teams through inspirational leadership. He has served as a jury panel member at various IT conferences. Jitendra Dutt Sharma. Now, testing has evolved as Quality Engineering function where it is driving the application development. Enough is discussed and emphasized about the Quality Engineering as what it is and why it's important by Industry Thought Leaders. This transformation will need a big shift in organization cultural mindset which leaders themselves need to drive up.


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  • Amdocs is a world leader in Communication domain. He has witnessed the IT evolution from Mainframe systems to Industry 4. Jitendra is currently leading global offshore Quality Engineering centers and led the transformation of offshore Amdocs testing services to Amdocs Quality Engineering organization. During personal time he enjoys writing blogs on diversified leadership subjects. Jitendra Dutt Sharma Amdocs.

    Raj Dhingra. While digital transformation is expected to deliver high business impact, it requires significant change and is a multi-year journey. Robotic Process Automation RPA by contrast can deliver high business impact with minimal changes and an accelerated time to value. This presentation discusses the challenges with manual business processes, the benefits of Robotic Process Automation and some of the key questions to consider when evaluating an RPA solution. About the Speaker Raj Dhingra is a twenty-plus year veteran of the technology industry with a track record of building five category leaders in cloud computing, virtualization, security and networking.

    Raj Dhingra Tricentis. Anupama Jayakumar. Shifts in Testing Services and Digital Drivers behind these shifts Digitization is driving transformation in the world around us and there are changes at all levels. Responding and adapting to these changes are inevitable and important for competitive advantage. Testing services are no exception to this transformation. Infact with digital drivers such as cloud, big data, AI, agile, Testing Services are experience shifts and very exciting trends that will only further accelerate the pace of transformation.

    These shifts are also subtly influencing the future of testing and the future of the test practitioner. In these session lets deep dive into these elements. Anupama Jayakumar Schneider Electric. David Parker. Forward-leaning DevOps teams are leveraging containerization as a central pillar in their DevOps workflows and as a result, this technology is poised to radically change the way we build, test and deploy applications. But while development and operations teams are well down the road in implementing containerization, QA teams still often struggle to see its relevance.

    If both Development and Operations are adopting container technologies, where does that leave QA? While the adoption of container-driven pipelines does pose challenges to QA teams initially, there are also huge benefits to be enjoyed. As a cutting-edge provider of test automation technologies, SmartBear is uniquely positioned to help enterprises overcome the challenges and maximize the benefits of containerization in QA organizations.

    At this presentation, SmartBear will explore the challenges and benefits of containerization for QA teams. Solutions underpinned by SmartBear tools will be highlighted, showing how teams can accelerate testing with their own container-driven pipelines today for full-stack test automation, including UI and services testing. He is an industry veteran with more than 20 years of experience in the software development tools industry. His roles have included product management, product marketing, business development, sales and sales leadership. This span of experience lends David a unique and valuable perspective on the key industry trends impacting software engineering and digital transformation.

    David is a frequent speaker and is widely published. David Parker Smart Bear. Rajini Padmanaban.

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    As users, developers, product engineers, business representatives, competitors in the market place, we are learning how to ride this strong and never-ending wave. Quality engineers are no exception either — We are having to not just test the technology but rather test with the technology too. As we see examples of how all these pieces impact software quality — be it machine learning, block chain, artificial intelligence, augmented reality, we will take one solid use case of how artificial intelligence is changing the landscape of accessibility testing.

    Accessibility testing has matured significantly in the recent years — thanks to international mandates for compliant software. Indian market is also catching up in this space, to be able to meet global standards. This keynote will pave way for two strong messages for the audience - a understanding how artificial intelligence and machine learning are making way into accessibility, a test area which has all along been reserved for strong and special human cognitive skills and b if this can happen in one area of quality, how technology aided test efforts can revolutionize our testing industry in the coming years.

    Rohan has just come back from a panel discussion on accessibility at the workplace, as part of the m-enabling summit, in Washington DC, joined by several eminent speakers.

    December 02, 2007

    Together, Rajini and Rohan will showcase user empathy that can further be built in products, if technology is leveraged diligently, taking accessibility as a use case. This will also set the way for us as testers to be able to test with technology, in the coming years. Presenters Category. Presenters Category 1. Front End Optimization is one of the emerging areas and Users in the industry focus only on evaluating performance of Home page and ignore the other transactional pages. Moreover no such tool is readily available in the industry to perform user journey and provide performance statistics and recommendations.

    Also the results could be easily understand by a business users. Hence we are insisting this to implement in the Application life cycle. Presenters Category 2. Presenters Category 3. It is helping to reduce overall cost of testing It is using latest and advanced tools and technologies. Presenters Category 4. Digital Test Automation platform serves as a key enabler in addressing current industry challenges across automation lifecycle and its touch points. This will serve as best platform to scale-up automation in the digital transformation world.

    Presenters Category 5. With plethora of intelligent software and applications present across industries it becomes critical to have an end-to-end testing strategy to ensure seamless customer experience. This paper details out unique solutions and strategies including testing for machine learning algorithms through metamorphic relations testing of unstructured data adversarial scenarios testing dual coding for ML model testing of voice user interface and testing of Chat-bots. Presenters Category 6. QoE computation using speech-to-text recognition Fourier analysis for loudness and tone changes provide a programmatic and cost effective method to compute QoE.

    QoE is yet a topic of research and our research carves a path towards efficient measurable and smart solution to help the industry to design better solutions to help improve user experience. Presenters Category 7.

    5 Keys to Success for the Strategic Leader

    This will create robust and error free model. Presenters Category 8. In Agile world everything is faster time to market. So by using this utility we can increase the productivity and script creation turnaround time. Presenters Category 9. With FDA approving the first digital pill for human consumption the area of ingestible IoTs is expected to heat up. While the potential applications of ingestible IoT are many there are challenges in ensuring end to end quality assurance due to lack of standard practices and know-how.

    This paper tries to address the selfsame problem and can be a stepping stone for future QA teams in this area. At Cognizant we have worked on a couple of engagements in this area and we have tried to bake that experience in our POV. Thus our work presents a unique blend of thought leadership and practitioners' POV. Presenters Category With Artificial Intelligence disrupting the IT industry all organizations are trying to leverage the emerging areas to stay relevant.

    This makes re-skilling of employees the need of the hour. Having said that this particular stays very focused and aligned on how can it be done. One of the takeaway from this paper would be an idea or spark on how Machine Learning algorithms could be utilized for replacing out traditional set of activities. Someone said that it takes weeks to develop model but making it to production takes equal number of months or more and changing them often is very tough task.

    A completely unmanned solution that drives and controls every phase of lifecycle to deliver faster cheaper targeted and reliable products. Teams have been on toes for automating the entire build and release delivery pipeline. Often here developers are ones who take a hit as any code change has to go through the entire process which is long and time consuming. Easy way is increasing infra and run in parallel strategy which begins to fail as product development increases specially during code freeze stages.

    SmartOPS will help bridge the this gap and accelerate the entire development cycle. Stage 1 will be running just code related tests and Stage 2 will be running remaining tests. Stage 1 requires SMART data processing to identify tests to be executed corresponding to code change. Stage 1 will be time bound and executed in parallel. So prioritizing fixes will be made a lot easier. Automation is a buzz word these days and all the QA organizations are in mad rush to adopt.

    Be it to bring in efficiency reduce cycle time or implement DevOps the discussions end on automation being the solution. If we step back and look we need to really ask this question on is automation really that helpful? There is no doubt for all the above listed problem statements Automation comes across as a best possible solution. We leverage the best of what AI and ML has to offer and make automation more efficient.

    So lets do the automation AI Way!!! This paper gives a solution which is easy to implement and provides benefits which are far better than alternative methods. Before implementing this solution we did a small research to various techniques that could give us an answer. But none of the alternatives were as effective for us as this one. Besides this solution is not tool dependent.

    If your tool supports xpath and provides a way to manipulate strings you are all set to implement this. The paper illustrates the best practices that an organization can adapt to bring more human flavor to the quality practices by applying Design Thinking principles. My presentation will showcase the best practice and framework we have incorporated in our process that has gained our business confidence and transformed the way we do UAT leading to optimizing the testing effort.

    This white paper talks about the concept and best practices around BTB. It was done for Telecom based project however it can be adopted for other domains too. This paper highlights a better approach in improving the quality of the product in terms of performance aspects in support of lean agile delivery model to market the product in reduced time.

    Business Orchestration: Strategic Leadership in the Era of Digital Convergence Business Orchestration: Strategic Leadership in the Era of Digital Convergence
    Business Orchestration: Strategic Leadership in the Era of Digital Convergence Business Orchestration: Strategic Leadership in the Era of Digital Convergence
    Business Orchestration: Strategic Leadership in the Era of Digital Convergence Business Orchestration: Strategic Leadership in the Era of Digital Convergence
    Business Orchestration: Strategic Leadership in the Era of Digital Convergence Business Orchestration: Strategic Leadership in the Era of Digital Convergence
    Business Orchestration: Strategic Leadership in the Era of Digital Convergence Business Orchestration: Strategic Leadership in the Era of Digital Convergence
    Business Orchestration: Strategic Leadership in the Era of Digital Convergence Business Orchestration: Strategic Leadership in the Era of Digital Convergence
    Business Orchestration: Strategic Leadership in the Era of Digital Convergence Business Orchestration: Strategic Leadership in the Era of Digital Convergence
    Business Orchestration: Strategic Leadership in the Era of Digital Convergence Business Orchestration: Strategic Leadership in the Era of Digital Convergence

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