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Accelerating AI with Synthetic Data

Accelerating AI with Synthetic Data PDF Author: Khaled Emam
Publisher:
ISBN:
Category :
Languages : en
Pages : 62

Book Description
Recently, data scientists have found effective methods to generate high-quality synthetic data. That's good news for companies seeking large amounts of data to train and build artificial intelligence and machine learning models. This report provides an overview of synthetic data generation that not only focuses on business value and use cases but also provides some practical techniques for using synthetic data. Author Khaled El Emam, cofounder and Director of Replica Analytics and Professor at the University of Ottawa, helps data analytics leadership understand the options so they can get started building their own training sets. With the help of several industry use cases, you'll learn how synthetic data can accelerate machine learning projects in your company. As advances in synthetic data generation continue, broad adoption of this approach will quickly follow. Learn what synthetic data is and how it can accelerate machine learning model development Understand how synthetic data is generated-and why these datasets are similar to real data Explore the process and best practices for generating synthetic datasets Examine case studies of synthetic data use in industries including manufacturing, healthcare, financial services, and transportation Learn key requirements for future work and improvements to synthetic data.

Accelerating AI with Synthetic Data

Accelerating AI with Synthetic Data PDF Author: Khaled Emam
Publisher:
ISBN:
Category :
Languages : en
Pages : 62

Book Description
Recently, data scientists have found effective methods to generate high-quality synthetic data. That's good news for companies seeking large amounts of data to train and build artificial intelligence and machine learning models. This report provides an overview of synthetic data generation that not only focuses on business value and use cases but also provides some practical techniques for using synthetic data. Author Khaled El Emam, cofounder and Director of Replica Analytics and Professor at the University of Ottawa, helps data analytics leadership understand the options so they can get started building their own training sets. With the help of several industry use cases, you'll learn how synthetic data can accelerate machine learning projects in your company. As advances in synthetic data generation continue, broad adoption of this approach will quickly follow. Learn what synthetic data is and how it can accelerate machine learning model development Understand how synthetic data is generated-and why these datasets are similar to real data Explore the process and best practices for generating synthetic datasets Examine case studies of synthetic data use in industries including manufacturing, healthcare, financial services, and transportation Learn key requirements for future work and improvements to synthetic data.

Extended Reality

Extended Reality PDF Author: Lucio Tommaso De Paolis
Publisher: Springer Nature
ISBN: 303115553X
Category : Mixed reality
Languages : en
Pages : 469

Book Description
This two volume proceedings, LNCS 13445 and 13446, XR Salento 2022, held in Lecce, Italy, July 6-8, 2022. Due to COVID-19 pandemic the conference was held as a hybrid conference. The 42 full and 16 short papers were carefully reviewed and selected from 84 submissions. The papers discuss key issues, approaches, ideas, open problems, innovative applications and trends in virtual reality, augmented reality, mixed reality, applications in cultural heritage, in medicine, in education, and in industry.

Non-financial Risk Management in the Financial Industry

Non-financial Risk Management in the Financial Industry PDF Author: Norbert Gittfried
Publisher: Frankfurt School Verlag
ISBN: 395647189X
Category : Business & Economics
Languages : en
Pages : 374

Book Description
Managing environment, social and governance (ESG) risk, compliance risk and non-financial risk (NFR) has become increasingly critical for businesses in the financial services industry. Furthermore, expectations by regulators are ever more demanding, while monetary sanctions are being scaled up. Accordingly, ESG, Compliance and NFR risk management requires sophistication in various aspects of a risk management system. This handbook analyses a major success factor necessary for meeting the requirements of modern risk management: an institution-specific target operating model (TOM) – integrating strategy, governance & organisation, risk management, data architecture and cultural elements to ensure maximum effectiveness. Also, institutions need to master the digital transformation for their business model to be sufficiently sustainable for the years to come. This book will offer ways on how to achieve just that. The book has been written by senior ESG, Compliance and NFR experts from key markets in Europe, the U.S. and Asia. It gives practitioners the necessary guidance to master the challenges in today's global risk environment. Each chapter covers key regulatory requirements, major implementation challenges as well as both practical solutions and examples.

Accelerating MATLAB Performance

Accelerating MATLAB Performance PDF Author: Yair M. Altman
Publisher: CRC Press
ISBN: 1482211300
Category : Computers
Languages : en
Pages : 785

Book Description
The MATLAB® programming environment is often perceived as a platform suitable for prototyping and modeling but not for "serious" applications. One of the main complaints is that MATLAB is just too slow. Accelerating MATLAB Performance aims to correct this perception by describing multiple ways to greatly improve MATLAB program speed. Packed with thousands of helpful tips, it leaves no stone unturned, discussing every aspect of MATLAB. Ideal for novices and professionals alike, the book describes MATLAB performance in a scale and depth never before published. It takes a comprehensive approach to MATLAB performance, illustrating numerous ways to attain the desired speedup. The book covers MATLAB, CPU, and memory profiling and discusses various tradeoffs in performance tuning. It describes both the application of standard industry techniques in MATLAB, as well as methods that are specific to MATLAB such as using different data types or built-in functions. The book covers MATLAB vectorization, parallelization (implicit and explicit), optimization, memory management, chunking, and caching. It explains MATLAB’s memory model and details how it can be leveraged. It describes the use of GPU, MEX, FPGA, and other forms of compiled code, as well as techniques for speeding up deployed applications. It details specific tips for MATLAB GUI, graphics, and I/O. It also reviews a wide variety of utilities, libraries, and toolboxes that can help to improve performance. Sufficient information is provided to allow readers to immediately apply the suggestions to their own MATLAB programs. Extensive references are also included to allow those who wish to expand the treatment of a particular topic to do so easily. Supported by an active website, and numerous code examples, the book will help readers rapidly attain significant reductions in development costs and program run times.

Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era

Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era PDF Author: J. Delgado
Publisher: IOS Press
ISBN: 1643682377
Category : Medical
Languages : en
Pages : 184

Book Description
Medical Informatics has increasingly come into focus in the last couple of years, as the importance of managing and interpreting health data in dealing with a global pandemic has become dramatically apparent. This book presents the proceedings of the 2021 European Federation for Medical Informatics (EFMI) Special Topic Conference (STC), originally planned as a live event in Seville, Spain, but ultimately held as a virtual event from 22 – 24 November 2021. This conference focused on applying the FAIR principles (Findability, Accessibility, Interoperability and Reusability) to accelerate health research in Europe in the post COVID-19 era. The 38 papers included here are divided into 5 sections, and topics covered include: methods for the adoption of FAIR principles; FAIR-based precision medicine; AI in FAIR data-driven health; privacy and security aspects of applying FAIR in health research; FAIR and infectious-disease research data (including Covid-19); FAIR in infrastructures and software; metadata, ontologies and terminologies to support the sharing of health research data; and paradigms for sharing health research data. Offering a state-of-the-art overview of medical informatics in the post-Covid era, the book will be of interest to all those working in the field.

I Bytes Technology Industry

I Bytes Technology Industry PDF Author: ITShades.com
Publisher: EGBG Services LLC
ISBN:
Category : Computers
Languages : en
Pages : 127

Book Description
This document brings together a set of latest data points and publicly available information relevant for Technology Industry. We are very excited to share this content and believe that readers will benefit from this periodic publication immensely.

The Use of Synthetic Environments for Corrosion Testing

The Use of Synthetic Environments for Corrosion Testing PDF Author: P. E. Francis
Publisher: ASTM International
ISBN: 0803109776
Category : Corrosion and anti-corrosives
Languages : en
Pages : 296

Book Description


Operating AI

Operating AI PDF Author: Ulrika Jagare
Publisher: John Wiley & Sons
ISBN: 1119833213
Category : Computers
Languages : en
Pages : 237

Book Description
A holistic and real-world approach to operationalizing artificial intelligence in your company In Operating AI, Director of Technology and Architecture at Ericsson AB, Ulrika Jägare, delivers an eye-opening new discussion of how to introduce your organization to artificial intelligence by balancing data engineering, model development, and AI operations. You'll learn the importance of embracing an AI operational mindset to successfully operate AI and lead AI initiatives through the entire lifecycle, including key areas such as; data mesh, data fabric, aspects of security, data privacy, data rights and IPR related to data and AI models. In the book, you’ll also discover: How to reduce the risk of entering bias in our artificial intelligence solutions and how to approach explainable AI (XAI) The importance of efficient and reproduceable data pipelines, including how to manage your company's data An operational perspective on the development of AI models using the MLOps (Machine Learning Operations) approach, including how to deploy, run and monitor models and ML pipelines in production using CI/CD/CT techniques, that generates value in the real world Key competences and toolsets in AI development, deployment and operations What to consider when operating different types of AI business models With a strong emphasis on deployment and operations of trustworthy and reliable AI solutions that operate well in the real world—and not just the lab—Operating AI is a must-read for business leaders looking for ways to operationalize an AI business model that actually makes money, from the concept phase to running in a live production environment.

The AI Ladder

The AI Ladder PDF Author: Rob Thomas
Publisher: "O'Reilly Media, Inc."
ISBN: 1492073385
Category : Computers
Languages : en
Pages : 226

Book Description
AI may be the greatest opportunity of our time, with the potential to add nearly $16 trillion to the global economy over the next decade. But so far, adoption has been much slower than anticipated, or so headlines may lead you to believe. With this practical guide, business leaders will discover where they are in their AI journey and learn the steps necessary to successfully scale AI throughout their organization. Authors Rob Thomas and Paul Zikopoulos from IBM introduce C-suite executives and business professionals to the AI Ladder—a unified, prescriptive approach to help them understand and accelerate the AI journey. Complete with real-world examples and real-life experiences, this book explores AI drivers, value, and opportunity, as well as the adoption challenges organizations face. Understand why you can’t have AI without an information architecture (IA) Appreciate how AI is as much a cultural change as it is a technological one Collect data and make it simple and accessible, regardless of where it lives Organize data to create a business-ready analytics foundation Analyze data, and build and scale AI with trust and transparency Infuse AI throughout your entire business and create intelligent workflows

Artificial Intelligence and Global Security

Artificial Intelligence and Global Security PDF Author: Yvonne R. Masakowski
Publisher: Emerald Group Publishing
ISBN: 178973813X
Category : Computers
Languages : en
Pages : 216

Book Description
Artificial Intelligence and Global Security: Future Trends, Threats and Considerations brings a much-needed perspective on the impact of the integration of Artificial Intelligence (AI) technologies in military affairs. Experts forecast that AI will shape future military operations in ways that will revolutionize warfare.