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Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	April 2022
Genre:	EDV / Informatik
	artificial intelligence adoption / BUSINESS & ECONOMICS / Management Science / BUSINESS & ECONOMICS / Strategic Planning / Business mathematics & systems / Business mathematics and systems / business strategy / change management in technology / COMPUTERS / Data Science / Data Analytics / COMPUTERS / Data Science / General / COMPUTERS / Information Technology / Data-driven decision making / Databases / Databases / Data management / Digital Transformation Strategy / enterprise data integration / Network Management / organizational data governance / overcoming data silos in organizations mehr...
ISBN:	9781032224435
EAN-Code:	9781032224435
Verlag:	Taylor and Francis
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 234 mm / B 156 mm / D
Gewicht:	520 gr
Seiten:	198
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

In this book, Edosa explores common challenges which limit the value that organisations can get from data. What makes his book unique is that he also tackles one of the unspoken barriers to data adoption-fear. Fear of the unknown, fear of the intangible, fear of the investment needed and, yes, fear of losing your job to a machine. With his talent for distilling clarity from complexity, Edosa tackles this and many other challenges. -Tim Carmichael, Chief Data Officer, Chalhoub Group This book offers fresh insight about how to solve the interactional frictions that hamper the flow of data, information and knowledge across organisations. Yet, rather than being stuck with endless polarising debates such as breaking down silos, it shifts focus back towards the ultimate "to what end." -Jacky Wright, Chief Digital Officer (CDO), Microsoft US If you care about AI transformation, empowering people or advancing organisational success in an increasingly digital world, then you should read this book. -Yomi Ibosiola, Chief Data and Analytics Officer, Union Bank A retail giant already struggling due to the Covid-19 pandemic was faced with a disastrous situation when-at the end of a critical investment in an artificial intelligence project that had been meant to save money-it suddenly discovered that its implementation was likely to leave it worse off. An entire critical service stream within an insurer's production system crashed. This critical failure resulted in the detentions of fully insured motorists for allegedly not carrying required insurance. Making Data Work details these two scenarios as well as others illustrating the consequences that arise when organizations do not know how to make data work properly. It is a journey to determine what to do to "make data work" for ourselves and for our organisations. It is a journey to discover how to bring it all together so organisations can enable digital transformation, empower people, and advance organisational success. It is the journey to a world where data and technology finally live up to the hype and deliver better human outcomes, where artificial intelligence can move us from reacting to situations to predicting future occurrences and enabling desirable possibilities.