Predictive Analytics and Machine Learning: Powering the Intelligent Enterprise
•
1 like•1,390 views
This infographic is based on a study conducted by Forrester Consulting on behalf of SAP titled, “Powering the Intelligent Enterprise with AI, Machine Learning, and Predictive Analytics,” August 2018. The thought-leadership study can be downloaded at http://www.sap.com/paml.
![AI technologies such as predictive analytics and
machine learning (PAML) will become embedded
in both back-office and customer-facing
applications. That’s according to a Forrester survey
of more than 350 global decision-makers involved in
PAML and enterprise applications.
PAML is on the rise.
Believe PAML is integral to the
ongoing success of their business
93%
Say PAML is needed to drive
efficiency in both enterprise and
customer-facing applications
91%
“[There is] a key opportunity
for companies to utilize
prebuilt solutions from
technology partners, enabling
them to implement PAML
capabilities without
traditional
data-science
expertise.”
Decision-makers agree:
The future will be powered by PAML.
A new Forrester study finds
that artificial intelligence
(AI) will infuse tomorrow’s
successful businesses.
But challenges remain.
Say internal teams struggle
to meet the demand for PAML
64%
Are concerned over new data
privacy and compliance regulations
55%
Worry about the complexity of
deploying and managing PAML
in production applications
48%
Predict AI technologies such as
ML will infuse next-generation
enterprise applications
88%
Say PAML is key to building more
personalized customer experiences
93%
Expect their investment in PAML
to grow in the next 12 months
82%
“Companies can also explore
data management platforms
to help manage data and
queries across all cloud types
(local, private, and public)
and to help ensure real-time
data protection and privacy
for GDPR,* given present
security concerns.”
“Businesses must become
more productive by
embracing a new generation
of PAML solutions that offer
automation and enable
non–data scientists to
be more engaged
with data.”
Predictive Analytics and
Machine Learning
Powering the
Intelligent Enterprise
*General Data
Protection Regulation
Studio SAP | 60067enUS (18/09) © 2018 SAP SE or an SAP affiliate company. All rights reserved.
See how your peers are approaching PAML. Access the
complete Forrester study now at sap.com/paml.
Source: “Powering the Intelligent Enterprise with AI, Machine Learning, and Predictive Analytics,”
Forrester Consulting, commissioned by SAP, August 2018.](https://image.slidesharecdn.com/60067ig60067enus-181126205019/85/Predictive-Analytics-and-Machine-Learning-Powering-the-Intelligent-Enterprise-1-320.jpg?cb=1543265470)
Recommended
Recommended
More Related Content
More from SAP Analytics
More from SAP Analytics (20)
Recently uploaded
Recently uploaded (20)
Predictive Analytics and Machine Learning: Powering the Intelligent Enterprise
- 1. AI technologies such as predictive analytics and machine learning (PAML) will become embedded in both back-office and customer-facing applications. That’s according to a Forrester survey of more than 350 global decision-makers involved in PAML and enterprise applications. PAML is on the rise. Believe PAML is integral to the ongoing success of their business 93% Say PAML is needed to drive efficiency in both enterprise and customer-facing applications 91% “[There is] a key opportunity for companies to utilize prebuilt solutions from technology partners, enabling them to implement PAML capabilities without traditional data-science expertise.” Decision-makers agree: The future will be powered by PAML. A new Forrester study finds that artificial intelligence (AI) will infuse tomorrow’s successful businesses. But challenges remain. Say internal teams struggle to meet the demand for PAML 64% Are concerned over new data privacy and compliance regulations 55% Worry about the complexity of deploying and managing PAML in production applications 48% Predict AI technologies such as ML will infuse next-generation enterprise applications 88% Say PAML is key to building more personalized customer experiences 93% Expect their investment in PAML to grow in the next 12 months 82% “Companies can also explore data management platforms to help manage data and queries across all cloud types (local, private, and public) and to help ensure real-time data protection and privacy for GDPR,* given present security concerns.” “Businesses must become more productive by embracing a new generation of PAML solutions that offer automation and enable non–data scientists to be more engaged with data.” Predictive Analytics and Machine Learning Powering the Intelligent Enterprise *General Data Protection Regulation Studio SAP | 60067enUS (18/09) © 2018 SAP SE or an SAP affiliate company. All rights reserved. See how your peers are approaching PAML. Access the complete Forrester study now at sap.com/paml. Source: “Powering the Intelligent Enterprise with AI, Machine Learning, and Predictive Analytics,” Forrester Consulting, commissioned by SAP, August 2018.