Pamela Baker

Decision Intelligence For Dummies


Скачать книгу

276

      271 277

      272  278

      273  279

      274  280

      275  281

      276  282

      277  283

      278  285

      279 286

      280  287

      281  288

      282  289

      283  291

      284 292

      285 293

      286 294

      287 295

      288 296

      289 297

      290 298

      291 299

      292 300

      293 301

      294 302

      295 303

      296 304

      297 305

      298 306

      299  307

      300  308

      301 310

      302  311

      Ready for a mind-blowing reveal on how to make great decisions, whether you’re using your own brain or some supercharged artificial intelligence application? Decision intelligence, a methodology for forming a decision aimed at achieving a specific outcome, is here, and it's on track to change forever how businesses plan for their future.

      Everybody would agree that the goal in all decision-making is to reap the best possible outcome. Decision intelligence helps you achieve that goal by requiring that you decide that outcome first and then work backward from there to identify the processes and information you’ll need to make it happen!

      Decision intelligence is built on science — several sciences, actually — but some of those scientific formulas can be grasped intuitively. The decision intelligence process is designed to improve your professional performance by a) ensuring that every business decision delivers the best possible outcome, b) pointing you toward innovations that are profitable, c) helping you become an industry mover by becoming a creative disruptor, and d) enabling you to flip failed AI projects into successful endeavors. What's more, decision intelligence can also be used to improve your private life via better decision-making, and you can often do it in your own head or on the back of a napkin or by using a simple table or spreadsheet.

      The secret to success in decision intelligence lies in changing how you think about problem-solving and reordering your steps when it comes to the decision-making process. Ask yourself how much money, time, and effort your organization is willing to waste on yet another bad business decision or one more failed AI project, and then ask yourself whether you can afford to ignore a better way to make decisions — especially when you already have on hand much of what you’ll need to take advantage of a decision intelligence approach. It’s not often that you can turn your business around at little or no additional cost to you.

      The book you’re holding in your hands is a guide primarily for you if you’re a business or finance leader. The book aims to fill you in on decision intelligence, a new framework for making better, more profitable business decisions. It also serves as an introduction for artificial intelligence (AI) and digital decisioning practitioners to take a different approach aimed at making automated decision processes deliver desirable business outcomes. To top it all off, this guide shows you that decision intelligence is not merely a business approach — it’s equally useful when making decisions about your personal life.

      This book takes a studied approach to having you reimagine the decision-making, by focusing on a set of discrete tasks you need to accomplish. Here are those tasks, in no particular order:

       Flip the data mining model from data first to data last. You start with a decision aimed at the best possible business outcome and end with the data and the processes you need to bring about that outcome in the real world.

       Rebalance human and machine roles. Decision intelligence calls for a redirection from a data driven to a decision driven organization. This framework clearly casts humans as decision-makers, where AI acts as sidekick, and where data is relegated to a supporting actor.

       Map changes caused by putting the decision first in terms ofBusiness impactProcessesToolsBusiness and Ethical PrinciplesTeams

       Learn decision theory and a multidisciplinary approach to decision-making: You learn which steps you must take in order to succeed with decision intelligence, from new perspectives onBusiness impactAI projectsUpstream and downstream decisioningDisruptive innovationJob roles

       An overview of the steps involved in putting the decision before the data in the decision-making process

       A guidebook with practical suggestions for the various options, overall flexibility, and choices of implementations of a decision intelligence strategy

       A reference book divided into parts, chapters, and sections so that you can quickly find the content you’re looking for when you need it

      This book — designed so that you can swiftly get a grasp on everything — features many examples, instructions, checklists, illustrations, and tables. It’s also structured systematically according to the decision intelligence framework and its many moving parts.

      This book doesn’t have many rules. The entire book is structured so that you can quickly find everything you need and get a grasp on the content. The detailed table of contents helps you jump right to the information you need, and each chapter begins with a brief and succinct description of the chapter's main topics. Whenever topics overlap or other chapters are mentioned, cross-references help you conveniently jump back-and-forth between the chapters. If you’re interested in a particular term, you can look it up in the index.