market perspective 2017: how data science will drive the next wave of disruption | anacondacon 2017

#OpenDataScienceMeans #AnacondaCON


Business executives know that disruption is lurking

Source: “Understand The Digital Business Landscape” Forrester report.


Source: “Will People Really Do That?” Forrester report

2007 - 2016

2017 - 2026

“The next 10 years will generate an order of magnitude of more change than the past 10 years.”


Source: https://futurism.com/images/ai-forecast-for-2017/


Firms are eager to hire or train “data scientists”


It’s a team sport The process can be more valuable than the model

Speed is exceptionally

important

Source: “The Four Things Data Scientists Wish You Knew” Forrester report


What if Moore’s law applies to number of models?


Digital insight is insight you can test and implement in software


Firms that bake an evolved data science into systems of insight will win


Winners will make data science a part of systems that close the loop between data and action

Source: “Digital Insights Are The New Currency Of Business” Forrester report


These insights-driven firms will steal $1.2T by 2020

Sources: Morningstar, PitchBook, Economist Intelligence Unit

Revenue forecast of insights-driven businesses

2016 2017 2018 2019 2020

$1200

$800

$400

0

Public: 27% CAGR

Startups: 40% CAGR

Global GDP compound annual growth rate (CAGR) is only 3.5%

© 2016 Forrester Research, Inc. Reproduction Prohibited

Built differently + operate differently

= steal revenue and customers


Insights-driven firms build systems of insight



Tesla’s system of insight delivers competitive advantage

Source: Tesla

Web UI

Data Science Platform

MongoDBHadoop SQL Server MySQL

Data Sources

Visual Analytics

Data Scientists

Engineers Firmware team

Pipe-lineData

Engineers

The insights team manages insights to execution

Change driving experience


They put data scientists on insight teams


Business leader Manages the team to optimize a specific business outcome

Technology leader Responsible for testing, implementation, and architecture

Domain experts Recognize insights worth the investment

Developers Test and implement insights in software and business rules

Data scientists Build models and exercise them to reveal potential insights

Data engineers Gather, assess, integrate, prepare, and manage data


They drive speed around the loop

Source: ”The Insights-Driven Business” Forrester report


Source: Upcoming “The Anatomy Of A System Of Insight” Forrester report

Big Data Foundation


Turn your data science ambition into insights-driven investment

v Make data science a team sport.

v Look at the heart of strategic change.

v Close loops.


How AI automates the insight loop

DataInsight About

“Things”

Decisions / Actions

• Datapreparation

• Featureengineering

• Modelselection

• Modelapplication

• Datafiltering

• Modelgovernance

• ModelMonitoring


Turn your data science enthusiasm into insights-driven investment

v Make data science a team sport.

v Look at the heart of strategic change.

v Close loops.

v Use AI to automate the insight-to-execution process.


Source: Upcoming “The Anatomy Of A System Of Insight” Forrester reportSource: Forrester Research, Inc. Unauthorized reproduction, citation, or distribution prohibited.120088

ContactCenter

Solution

Big Data Fabric provides infrastructure services that support and run insight platform components

Sales Insight PlatformSome run on shared big datafabric services

Marketing Insight PlatformSome run on shared big datafabric services

Real-time InteractionManagement Solution

IoT Insight PlatformAll components runseparately from big datafabric

SalesManagement

Solution

IoTSolution

Buy UseDiscover and Explore

IoTSolution

Ask

States In The Customer Lifecycle

Systemof Insight

Systemof Insight

Systemof Insight

Systemof Insight

Systemof Insight


Vendors are evolving to platforms

Source: “Vendor Landscape: Insights Platforms, Q3 2016” Forrester report

#OpenDataScienceMeans #AnacondaCON

market perspective 2017: how data science will drive the next wave of disruption | anacondacon 2017

Data & Analytics