What's new in data science? Flip through this week's Top 5 to read a report on democratizing data science in organizations, how to hire data scientists, healthcare investing in data science, new GPU-accelerated data science workstations, and the engine of modern data science.

1. INSIGHTS AND INNOVATIONS
FOR BUSINESS LEADERS
APRIL 12, 2019
DATA SCIENCE
TOP 5

2. 2
THE RACE TO
STAY AHEAD WITH
DATA SCIENCE IS ON

3. 3
BUSINESS LEADERS HAVE TURNED TO
DATA SCIENCE TO DELIVER THE BEST
SOLUTIONS AND BEAT THE
COMPETITION.
SEE THIS WEEK’S TOP 5 HEADLINES
ON WHAT’S NEW IN DATA SCIENCE.

4. 4
DATA SCIENCE
TOP 5
Gartner identifies AI as top megatrend
Deep learning is changing the world of sports
Opinion: “I was worried about AI until it saved
my life”
PayPal uses AI to protect payments and performance
AI predicts melting of sea ice to save communities
#1
#2
#3
#4
#5
#1 REPORT: DEMOCRATIZING DATA SCIENCE IN YOUR
ORGANIZATION
#2 HOW TO FIND A MUCH SOUGHT-AFTER DATA SCIENTIST
#3 HEALTHCARE PROVIDERS ARE FEVERISHLY INVESTING IN DATA
SCIENCE
#4 HOW GPU-ACCELERATED DATA SCIENCE WORKSTATIONS ARE
TRANSFORMING AI DEVELOPMENT
#5 DATA SCIENCE IS POWERING THE ENGINE OF MODERN
ENTERPRISE

5. 5
DEMOCRATIZING DATA SCIENCE IN YOUR
ORGANIZATION
“Since nearly every major company is actively
looking for data science talent, the demand has
rapidly outpaced the supply of people with
required skills.
“The skills gap and longer hiring times can cause
project delays and higher costs, hindering
enterprises’ data analytics efforts. But a number
of recent trends may change how companies
acquire and apply data science capabilities,
presenting savvy companies with ways for
alleviating the talent bottleneck.”
SOURCE: https://hbr.org/sponsored/2019/04/democratizing-data-science-in-your-organization
#1
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6. 6
HOW TO FIND A MUCH SOUGHT-AFTER DATA
SCIENTIST
“With many organisations putting data at the
heart of their digitisation strategy, analyst firm
Gartner predicts the market for data analytics is
likely to exceed $100bn in the next few years,
suggesting that organisations are driving adoption
of initiatives where there is a strong need to
invest in analytics.
“Gartner’s analysis of earnings statements from
public companies shows a strong correlation
between the use of the word “data” and reported
business growth. The more an organisation can
exploit the data it creates to make informed
business decisions, the greater its potential to
succeed.”
SOURCE:https://www.computerweekly.com/feature/How-to-find-a-much-sought-after-data-scientist
#2
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7. 7
HEALTHCARE PROVIDERS ARE FEVERISHLY
INVESTING IN DATA SCIENCE
“According to new research published in the
Journal of the American Medical Informatics
Association, healthcare providers are increasingly
investing in data scientists. Organizations in
nearly every industry are interested in taking
advantage of their data, and healthcare providers
generate perhaps the most data of any in the
world. Healthcare companies are also dealing
with a deluge of largely unstructured data, a type
of data that, according to IDC, will make up 80
percent of all data in five years.”
SOURCE: https://solutionsreview.com/business-intelligence/healthcare-providers-are-feverishly-investing-in-data-science/
#3
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8. 8
HOW GPU-ACCELERATED DATA SCIENCE
WORKSTATIONS ARE TRANSFORMING AI
DEVELOPMENT
With more data available than ever before for
data scientists, it’s crucial to have the right
software and hardware solutions to get faster
time to insight. The combination of NVIDIA’s
CUDA-X AI GPU-accelerated software, including
RAPIDS, and the new NVIDIA-powered data
science workstations serve as an integrated
hardware and software solution for data science
that allows you to bypass traditional data center
setups to get faster performance and real-world
benefits.
SOURCE: https://info.nvidia.com/transforming-ai-development-data-science-workstation-reg-page.html
#4
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9. 9
DATA SCIENCE IS POWERING THE ENGINE OF
MODERN ENTERPRISE
Every industry from retail to financial services to
healthcare is deriving insight from data to
improve competitiveness and operational
efficiency. Even modest improvements in the
accuracy of predictive machine learning models
can translate into billions for the bottom line.
“NVIDIA accelerated data science solution with
RAPIDS enables enterprises to tap into GPU-
accelerated machine learning (ML) with faster
model iteration, better prediction accuracy, and
lowest data science total cost of ownership.”
SOURCE: http://resources.nvidia.com/c/data-science-rapids-?x=iGT5QR
#5
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10. STAY CURRENT ON THE
LATEST INNOVATIONS IN DATA
SCIENCE
LEARN MORE