Infografia Machine Learning - Belatrix SoftwareInfografia Machine Learning Created Date: 11/23/2016...
1
53% 50% 46% 43% 28% 10% 39% 33% 32% 39% 29% 21% Company size Less than 10 employees 10 - 99 employees 100 - 499 employees 500 - 999 employees 1000 - 9,999 employees 10,000 or more employees Industry 13% Healthcare 4% Retail 8% Financial or insurance 3% Construction or enginering 3% Telecom 7% Entertainment or media 6% Transportation 3% Energy 11% Education 4% Non-profit 39% Others November 2016 81% of respondents believe machine learning will have some or significant impact on their organization in the next 5 years. So in October 2016 we conducted a survey to find out what is the state of machine learning and artificial intelligence. How many organizations are already using it? What are the challenges? Here we share some of the highlights Machine learning has tremendous potential to help organizations create powerful and unique customer experiences, as well as make better and more informed decisions. MACHINE LEARNING'S IMPACT THE BIGGEST IMPACT WILL BE ON OPERATIONAL EFFICIENCY Improve operational efficiency Automate business processes More quicly respond to market and customer changes and desires Improve sharing of insights and information throughout the organization Lower security risks and improve responses to security threats No impact MANY ARE INTERESTED, BUT FEW HAVE STARTED 42% 40% 18% have no plans to start a machine learning initiative are investigating but have not started have already started a machine learning initiative BROAD RANGE OF CURRENT INITIATIVES We asked respondents what type of machine learning initiative they were working on. Here are some of the highlights I use machine learning to help improve collaboration between teams We are using IBM Watson for technical support We are implementing predictive models to better serve our customers I want to use machine learning to improve search and our responsiveness Difficulty finding the right business case for investment Difficulty creating a business case for investment Difficulty managing and analyzing the data Executives don’t understand why it’s important Difficulty finding/hiring people with the right skills The technology is not mature enough THE BIGGEST CHALLENGES GETTING STARTED WITH MACHINE LEARNING THE BIGGEST CHALLENGE IS FINDING PEOPLE WITH THE RIGHT SKILLS SURVEY DEMOGRAPHICS Role at the company Business-focused employee (e.g. marketing, sales, line of business executive) Technology-focused employee (e.g. software engineer, CIO, architect)
Transcript of Infografia Machine Learning - Belatrix SoftwareInfografia Machine Learning Created Date: 11/23/2016...
53%
50%
46%
43%
28%
10%
39%
33%
32%
39%
29%
21%
Company size
Less than 10 employees
10 - 99employees
100 - 499employees
500 - 999employees
1000 - 9,999employees
10,000 or moreemployees
Industry13%
Healthcare
4%Retail
8%Financial or insurance
3%Construction
or enginering3%
Telecom
7%Entertainment
or media6%
Transportation
3%Energy
11%Education
4%Non-profit
39%Others
November 2016
81% of respondents believe machine learning will have some or significant impact on their organization in the next 5 years.
So in October 2016 we conducted a survey to find out what is the state of machine learning and artificial intelligence. How many organizations are already using it?What are the challenges? Here we share some of the highlights
Machine learning has tremendous potential to help organizations create powerful and unique customer experiences, as well as make better and more informed decisions.
MACHINE LEARNING'S IMPACT
THE BIGGEST IMPACT WILL BE
ON OPERATIONAL EFFICIENCY
Improve operational efficiency
Automate business processes
More quicly respond to market and customer changes and desires
Improve sharing of insights and information throughout the organization
Lower security risks and improve responses to security threats
No impact
MANY ARE INTERESTED, BUT
FEW HAVE STARTED
42% 40% 18%
have no plans to start a machine
learning initiative
are investigating but have not
started
have already started a machine learning initiative
BROAD RANGE OF CURRENT INITIATIVESWe asked respondents what type of machine learning initiative
they were working on. Here are some of the highlights
I use machine learning to help improve collaboration
between teams
We are using IBMWatson for technical
support
We are implementingpredictive models to
better serve ourcustomers
I want to use machinelearning to improve
search and ourresponsiveness
Difficulty finding the right business case for investment
Difficulty creating a business case for investment
Difficulty managing and analyzing the data
Executives don’t understand why it’s important
Difficulty finding/hiring people with the right skills
The technology is not mature enough
THE BIGGEST CHALLENGES GETTING STARTED WITH MACHINE LEARNING
THE BIGGEST CHALLENGE IS
FINDING PEOPLE WITH THE RIGHT
SKILLS
SURVEY DEMOGRAPHICS
Role at the company
Business-focused employee
(e.g. marketing, sales, line of business executive)
Technology-focused employee
(e.g. software engineer, CIO, architect)
