Description:
Editorial Reviews
About the Author
L. Y. Pratt, PhD, Chief Scientist at Quantellia, has been delivering artificial intelligence and machine learning solutions for her clients for over 30 years. These include the Human Genome Project, the Colorado Bureau of Investigation, the US Department of Energy, SAP, and the Administrative Office of the US Courts. She is a machine learning pioneer, having led the teams that invented inductive transfer and decision intelligence (DI). Pratt received the CAREER award from the National Science Foundation, an innovation award from Microsoft, and the Exemplary Research Award from the Colorado Advanced Software Institute (CASI). Formerly a computer science professor at the Colorado School of Mines, Pratt has appeared multiple times on national television and NPR, has given two TEDx talks, and is a respected AI and DI speaker worldwide.
Recognized by the Women Innovators and Inventors Project, Pratt continues to push the boundaries of technology as one of the creators and evangelists for decision intelligence, which is the next phase of artificial intelligence, and which will define how AI is used in the 21st century.
N. E. Malcolm, COO at Quantellia, has over 25 years of experience managing and delivering enterprise software, data science, machine learning, and decision intelligence projects. Malcolm has spent five years on the Quantellia executive team with Dr. Pratt, continuously improving and developing best practices for both decision intelligence and Agile AI methodologies and delivering AI and DI projects including:
- Data science and data management on several large enterprise projects to improve decision making in the telecommunications industry
- Machine learning to develop a digital twin of retiring key employees for a small financial company
- Machine learning to better understand medical device failures
- Machine learning for computer security for a medium-sized computer security company
- Machine learning for customer retention for a community bank
- Establishment of a decision intelligence center of excellence for a G7 national bank
- A NASA decision intelligence STTR
Malcolm holds a BS in mathematics from MIT and an MS in computer science from USC.
Reviews:
1.0 out of 5 stars Very complicated and impractical approach
The approach suggested by the authors is very complicated and not practical, they suggest a systems thinking approach and in the very first step of the process veer away form systems and a holistic thinking approach start with optimizing sub parts in the very first chapter by optimizing a part of the system. For any system and approach to be successful ones approach has to be on solid grounds and simple enough and clear boundaries for it to be successful, think six sigma and other such methodologies, the approach suggested by the authors for the DI has too much variation for it to have any serious of a mature framework.
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The Decision Intelligence Handbook: Practical Steps for Evidence-Based Decisions in a Complex World
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Visit the O'Reilly Media Store
The Decision Intelligence Handbook: Practical Steps for Evidence-Based Decisions in a Complex World
AED24817
Quantity:
Order today to get by 7-14 business days
This item qualifies for free delivery
Imported From: United States
At BOLO, we work hard to ensure the products you receive are new, genuine, and sourced from reputable suppliers.
BOLO is not an authorized or official retailer for most brands, nor are we affiliated with manufacturers unless specifically stated on a product page. Instead, we source verified sellers, authorized distributors or directly from the manufacturer.
Each product undergoes thorough inspection and verification at our consolidation and fulfilment centers to ensure it meets our strict authenticity and quality standards before being shipped and delivered to you.
If you ever have concerns regarding the authenticity of a product purchased from us, please contact Bolo Support. We will review your inquiry promptly and, if necessary, provide documentation verifying authenticity or offer a suitable resolution.
Your trust is our top priority, and we are committed to maintaining transparency and integrity in every transaction.
All product information, images, descriptions, and reviews originate from the manufacturer or from trusted sellers overseas. BOLO is not affiliated with, endorsed by, or an authorized retailer for most brands listed on our website unless stated otherwise.
While we strive to display accurate information, variations in packaging, labeling, instructions, or formulation may occasionally occur due to regional differences or supplier updates. For detailed or manufacturer-specific information, please contact the brand directly or reach out to BOLO Support for assistance.
Unless otherwise stated, all prices displayed on the product page include applicable taxes and import duties.
BOLO operates in accordance with the laws and regulations of United Arab Emirates. Any items found to be restricted or prohibited for sale within the UAE will be cancelled prior to shipment. We take proactive measures to ensure that only products permitted for sale in United Arab Emirates are listed on our website.
All items are shipped by air, and any products classified as “Dangerous Goods (DG)” under IATA regulations will be removed from the order and cancelled.
All orders are processed manually, and we make every effort to process them promptly once confirmed. Products cancelled due to the above reasons will be permanently removed from listings across the website.
Description:
Editorial Reviews
About the Author
L. Y. Pratt, PhD, Chief Scientist at Quantellia, has been delivering artificial intelligence and machine learning solutions for her clients for over 30 years. These include the Human Genome Project, the Colorado Bureau of Investigation, the US Department of Energy, SAP, and the Administrative Office of the US Courts. She is a machine learning pioneer, having led the teams that invented inductive transfer and decision intelligence (DI). Pratt received the CAREER award from the National Science Foundation, an innovation award from Microsoft, and the Exemplary Research Award from the Colorado Advanced Software Institute (CASI). Formerly a computer science professor at the Colorado School of Mines, Pratt has appeared multiple times on national television and NPR, has given two TEDx talks, and is a respected AI and DI speaker worldwide.
Recognized by the Women Innovators and Inventors Project, Pratt continues to push the boundaries of technology as one of the creators and evangelists for decision intelligence, which is the next phase of artificial intelligence, and which will define how AI is used in the 21st century.
N. E. Malcolm, COO at Quantellia, has over 25 years of experience managing and delivering enterprise software, data science, machine learning, and decision intelligence projects. Malcolm has spent five years on the Quantellia executive team with Dr. Pratt, continuously improving and developing best practices for both decision intelligence and Agile AI methodologies and delivering AI and DI projects including:
- Data science and data management on several large enterprise projects to improve decision making in the telecommunications industry
- Machine learning to develop a digital twin of retiring key employees for a small financial company
- Machine learning to better understand medical device failures
- Machine learning for computer security for a medium-sized computer security company
- Machine learning for customer retention for a community bank
- Establishment of a decision intelligence center of excellence for a G7 national bank
- A NASA decision intelligence STTR
Malcolm holds a BS in mathematics from MIT and an MS in computer science from USC.
Reviews:
1.0 out of 5 stars Very complicated and impractical approach
The approach suggested by the authors is very complicated and not practical, they suggest a systems thinking approach and in the very first step of the process veer away form systems and a holistic thinking approach start with optimizing sub parts in the very first chapter by optimizing a part of the system. For any system and approach to be successful ones approach has to be on solid grounds and simple enough and clear boundaries for it to be successful, think six sigma and other such methodologies, the approach suggested by the authors for the DI has too much variation for it to have any serious of a mature framework.
Similar suggestions by Bolo
More from this brand
Similar items from “Intelligence & Semantics”
Share with
Or share with link
https://www.bolo.ae/products/U1098139658