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Author: Gerardus Blokdyk
Publisher: Createspace Independent Publishing Platform
ISBN: 9781717395344
Category :
Languages : en
Pages : 138
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Book Description
Risk factors: what are the characteristics of Smart Data Discovery that make it risky? Who will provide the final approval of Smart Data Discovery deliverables? Is the impact that Smart Data Discovery has shown? What sources do you use to gather information for a Smart Data Discovery study? In what ways are Smart Data Discovery vendors and us interacting to ensure safe and effective use? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Smart Data Discovery investments work better. This Smart Data Discovery All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Smart Data Discovery Self-Assessment. Featuring 709 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Smart Data Discovery improvements can be made. In using the questions you will be better able to: - diagnose Smart Data Discovery projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Smart Data Discovery and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Smart Data Discovery Scorecard, you will develop a clear picture of which Smart Data Discovery areas need attention. Your purchase includes access details to the Smart Data Discovery self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.
Author: Gerardus Blokdyk
Publisher: Createspace Independent Publishing Platform
ISBN: 9781717395344
Category :
Languages : en
Pages : 138
Get Book Here
Book Description
Risk factors: what are the characteristics of Smart Data Discovery that make it risky? Who will provide the final approval of Smart Data Discovery deliverables? Is the impact that Smart Data Discovery has shown? What sources do you use to gather information for a Smart Data Discovery study? In what ways are Smart Data Discovery vendors and us interacting to ensure safe and effective use? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Smart Data Discovery investments work better. This Smart Data Discovery All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Smart Data Discovery Self-Assessment. Featuring 709 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Smart Data Discovery improvements can be made. In using the questions you will be better able to: - diagnose Smart Data Discovery projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Smart Data Discovery and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Smart Data Discovery Scorecard, you will develop a clear picture of which Smart Data Discovery areas need attention. Your purchase includes access details to the Smart Data Discovery self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.
Author: Gerardus Blokdyk
Publisher: 5starcooks
ISBN: 9780655165064
Category :
Languages : en
Pages : 126
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Book Description
Why are Smart Data Discovery skills important? What prevents me from making the changes I know will make me a more effective Smart Data Discovery leader? How is the value delivered by Smart Data Discovery being measured? Are there Smart Data Discovery problems defined? What threat is Smart Data Discovery addressing? This breakthrough Smart Data Discovery self-assessment will make you the credible Smart Data Discovery domain veteran by revealing just what you need to know to be fluent and ready for any Smart Data Discovery challenge. How do I reduce the effort in the Smart Data Discovery work to be done to get problems solved? How can I ensure that plans of action include every Smart Data Discovery task and that every Smart Data Discovery outcome is in place? How will I save time investigating strategic and tactical options and ensuring Smart Data Discovery opportunity costs are low? How can I deliver tailored Smart Data Discovery advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Smart Data Discovery essentials are covered, from every angle: the Smart Data Discovery self-assessment shows succinctly and clearly that what needs to be clarified to organize the business/project activities and processes so that Smart Data Discovery outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Smart Data Discovery practitioners. Their mastery, combined with the uncommon elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Smart Data Discovery are maximized with professional results. Your purchase includes access details to the Smart Data Discovery self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.
Author: Felix Liao
Publisher: SAS Institute
ISBN: 1635267242
Category : Computers
Languages : en
Pages : 206
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Book Description
Gain Powerful Insights with SAS Viya! Whether you are an executive, departmental decision maker, or analyst, the need to leverage data and analytical techniques in order make critical business decisions is now crucial to every part of an organization. Smart Data Discovery with SAS Viya: Powerful Techniques for Deeper Insights provides you with the necessary knowledge and skills to conduct a smart discovery process and empower you to ask more complex questions using your data. The book highlights key components of a smart data discovery process utilizing advanced machine learning techniques, powerful capabilities from SAS Viya, and finally brings it all together using real examples and applications. With its step-by-step approach and integrated examples, the book provides a relevant and practical guide to insight discovery that goes beyond traditional charts and graphs. By showcasing the powerful visual modeling capabilities of SAS Viya, it also opens up the world of advanced analytics and machine learning techniques to a much broader set of audiences.
Author: Gerardus Blokdyk
Publisher:
ISBN: 9780655115069
Category :
Languages : en
Pages : 0
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Book Description
Author: Kuan-Ching Li
Publisher: CRC Press
ISBN: 0429018029
Category : Business & Economics
Languages : en
Pages : 477
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Book Description
Smart Data: State-of-the-Art Perspectives in Computing and Applications explores smart data computing techniques to provide intelligent decision making and prediction services support for business, science, and engineering. It also examines the latest research trends in fields related to smart data computing and applications, including new computing theories, data mining and machine learning techniques. The book features contributions from leading experts and covers cutting-edge topics such as smart data and cloud computing, AI for networking, smart data deep learning, Big Data capture and representation, AI for Big Data applications, and more. Features Presents state-of-the-art research in big data and smart computing Provides a broad coverage of topics in data science and machine learning Combines computing methods with domain knowledge and a focus on applications in science, engineering, and business Covers data security and privacy, including AI techniques Includes contributions from leading researchers
Author: Bernard Marr
Publisher: John Wiley & Sons
ISBN: 1118965833
Category : Business & Economics
Languages : en
Pages : 262
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Book Description
Convert the promise of big data into real world results There is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid, real-world business results - and putting that in place to improve performance. Big Data will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy. This is a well-needed practical introduction to actually putting the topic into practice. Illustrated with numerous real-world examples from a cross section of companies and organisations, Big Data will take you through the five steps of the SMART model: Start with Strategy, Measure Metrics and Data, Apply Analytics, Report Results, Transform. Discusses how companies need to clearly define what it is they need to know Outlines how companies can collect relevant data and measure the metrics that will help them answer their most important business questions Addresses how the results of big data analytics can be visualised and communicated to ensure key decisions-makers understand them Includes many high-profile case studies from the author's work with some of the world's best known brands
Author: Fernando Iafrate
Publisher: John Wiley & Sons
ISBN: 1848217552
Category : Computers
Languages : en
Pages : 88
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Book Description
A pragmatic approach to Big Data by taking the reader on a journey between Big Data (what it is) and the Smart Data (what it is for). Today’s decision making can be reached via information (related to the data), knowledge (related to people and processes), and timing (the capacity to decide, act and react at the right time). The huge increase in volume of data traffic, and its format (unstructured data such as blogs, logs, and video) generated by the “digitalization” of our world modifies radically our relationship to the space (in motion) and time, dimension and by capillarity, the enterprise vision of performance monitoring and optimization.
Author: Marta Chinnici
Publisher: CRC Press
ISBN: 1000386015
Category : Computers
Languages : en
Pages : 305
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Book Description
Most applications generate large datasets, like social networking and social influence programs, smart cities applications, smart house environments, Cloud applications, public web sites, scientific experiments and simulations, data warehouse, monitoring platforms, and e-government services. Data grows rapidly, since applications produce continuously increasing volumes of both unstructured and structured data. Large-scale interconnected systems aim to aggregate and efficiently exploit the power of widely distributed resources. In this context, major solutions for scalability, mobility, reliability, fault tolerance and security are required to achieve high performance and to create a smart environment. The impact on data processing, transfer and storage is the need to re-evaluate the approaches and solutions to better answer the user needs. A variety of solutions for specific applications and platforms exist so a thorough and systematic analysis of existing solutions for data science, data analytics, methods and algorithms used in Big Data processing and storage environments is significant in designing and implementing a smart environment. Fundamental issues pertaining to smart environments (smart cities, ambient assisted leaving, smart houses, green houses, cyber physical systems, etc.) are reviewed. Most of the current efforts still do not adequately address the heterogeneity of different distributed systems, the interoperability between them, and the systems resilience. This book will primarily encompass practical approaches that promote research in all aspects of data processing, data analytics, data processing in different type of systems: Cluster Computing, Grid Computing, Peer-to-Peer, Cloud/Edge/Fog Computing, all involving elements of heterogeneity, having a large variety of tools and software to manage them. The main role of resource management techniques in this domain is to create the suitable frameworks for development of applications and deployment in smart environments, with respect to high performance. The book focuses on topics covering algorithms, architectures, management models, high performance computing techniques and large-scale distributed systems.
Author: Felix Liao
Publisher:
ISBN: 9781635262599
Category : Computers
Languages : en
Pages : 178
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Book Description
Gain Powerful Insights with SAS Viya! Whether you are an executive, departmental decision maker, or analyst, the need to leverage data and analytical techniques in order make critical business decisions is now crucial to every part of an organization. Smart Data Discovery with SAS Viya: Powerful Techniques for Deeper Insights provides you with the necessary knowledge and skills to conduct a smart discovery process and empower you to ask more complex questions using your data. The book highlights key components of a smart data discovery process utilizing advanced machine learning techniques, powerful capabilities from SAS Viya, and finally brings it all together using real examples and applications. With its step-by-step approach and integrated examples, the book provides a relevant and practical guide to insight discovery that goes beyond traditional charts and graphs. By showcasing the powerful visual modeling capabilities of SAS Viya, it also opens up the world of advanced analytics and machine learning techniques to a much broader set of audiences.
Author: Jay Liebowitz
Publisher: CRC Press
ISBN: 1000094650
Category : Computers
Languages : en
Pages : 242
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Book Description
Analytics and artificial intelligence (AI), what are they good for? The bandwagon keeps answering, absolutely everything! Analytics and artificial intelligence have captured the attention of everyone from top executives to the person in the street. While these disciplines have a relatively long history, within the last ten or so years they have exploded into corporate business and public consciousness. Organizations have rushed to embrace data-driven decision making. Companies everywhere are turning out products boasting that "artificial intelligence is included." We are indeed living in exciting times. The question we need to ask is, do we really know how to get business value from these exciting tools? Unfortunately, both the analytics and AI communities have not done a great job in collaborating and communicating with each other to build the necessary synergies. This book bridges the gap between these two critical fields. The book begins by explaining the commonalities and differences in the fields of data science, artificial intelligence, and autonomy by giving a historical perspective for each of these fields, followed by exploration of common technologies and current trends in each field. The book also readers introduces to applications of deep learning in industry with an overview of deep learning and its key architectures, as well as a survey and discussion of the main applications of deep learning. The book also presents case studies to illustrate applications of AI and analytics. These include a case study from the healthcare industry and an investigation of a digital transformation enabled by AI and analytics transforming a product-oriented company into one delivering solutions and services. The book concludes with a proposed AI-informed data analytics life cycle to be applied to unstructured data.
