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6/4/2017
Data Science - IBM Analytics
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Data Science is an interdisciplinary field that combines machine learning, statistics, advan
programming. It is a new form of art that draws out hidden insights and puts data to work
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Top analyst firms position IBM as a leader in data science, p
analytics and machine learning
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2017 Gartner Magic Quadrant for Data Science Platforms names IBM a
Learn why IBM is recognized as a leader in data science platforms and why data science, analytics, and machi
of the future.
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The Forrester Wave™: Predictive Analytics and Machine Learning Solu
positions IBM as a Leader
Read this report to learn how predictive analytics and machine learning solutions help data scientists be more p
IBM earned a place in the Leaders category.
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What is data science?
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Marketplace disruptors have one thing in common: data science. Data science is the proc
hidden insights from massive amounts of structured and unstructured data, using method
machine learning, data mining, and predictive analytics. This multi-discipline area is chang
organizations solve problems and gain competitive advantage.
Businesses that can capture higher value from new data sources—weather, healthcare, t
sentiment etc. —and use it to differentiate themselves will define what it means to be cog
areas as diverse as predicting where to deploy your police force, to finding new markets fo
fighting infectious diseases before they are an outbreak, and turning call center agents int
real-time information—data science is being applied by today’s new data artists: data scie
Who are data scientists?
To be successful, data scientists need an environment that is open, engaging, and fosters
need:
• Ability to use open source tools they know and love
• Enterprise-grade functionality they’ll need for critical data science projects
• Community that supports them throughout the whole process
In this seedbed of innovation, data scientists can break down data barriers and develop id
world.
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The data science toolkit
Just as an artist requires different tools for different media, a data scientist needs a palette of capabilities to ta
they need to solve. IBM's data science toolkit offers the most advanced analytics, open source technology, a
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community, all built to encourage creativity and collaboration.
Self-service data science
Best of open source combined with IBM innovation - work with Jupyter notebooks in a language of your ch
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Predictive analytics
Infuse predictive intelligence into every business decision.
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Machine learning
Create, train and deploy self-learning models
Cognitive computing
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Enhance and scale human expertise using cognitive computing.
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Data Science - IBM Analytics
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6/4/2017
Featured IBM data science product
IBM Data Science Experience
Now you can create value faster using the best of open source and IBM together. Built for
data scientists, the IBM Data Science Experience is a new cloud-based, social workspac
professionals consolidate create and collaborate across multiple open source tools such
Try
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Introducing the Data Science Experience (02:31)
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Watson Data Platform
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Industry first cloud-based data and analytics platform to integrate all types of data and enable AI-powered d
IBM Analytics for Apache Spark
Instantly access the power of Spark via an integrated, flexible, hassle-free, managed service.
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Watson Internet of Things
Enable organizations to do everything from connecting devices and building IoT apps, to solving specific bu
transforming their companies and industries.
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Get connected
Data scientists
Get ready access to the
IBM and Apache
Spark
latest data science and data
It’s not just about data
preparation capabilities via
access anymore. It’s about
IBM’s reliable, managed
building algorithms that put
services. And employ the
analytics into action. It's
proven DataFirst Method to
about changing data science
map out a game plan for
and driving intelligent apps
data science success.
fueled by data. Combining
Access tools for data
scientists
Explore the DataFirst
Method
and Apache Spark are
creating a new blueprint of
innovation. IBM and Spark.
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data, design and speed, IBM
Power of data. Simplicity of
design. Speed of innovation.
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Data science resources
A glimpse inside the mind of a data scientist
It's all well enough for an organization to collect every slice of data it can reach, but having more data doesn't
get better insights. First, you have to figure out what you want from your data you have to find its value.
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Download the ebook
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Achieve more successful outcomes with a data science methodology
Data scientists typically construct models to predict outcomes or discover underlying patterns with the goal o
insights. IBM's data science methodology ensures that as data scientists learn more about their data and mo
adjustments and provide continuous value to the organization.
Read the white paper
Spark: The Next Wave of Intelligent Applications
Life revolves around prediction. For example, the route you take to get to work, whether to go on a second dat
reading this sentence are all forms of prediction. Predicating our future is very much tied to progress. We use
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so we can increase our likelihood of success. The problem is that the human mind cannot possibly process a
big data.
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Read paper (PDF, 219 KB)
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Data science products
IBM Data Science Experience
IBM Analytics for Apache Spark
IBM BigInsights on Cloud
IBM Bluemix Data Connect
Watson Analytics
Analytics Platform
Advanced Analytics
Cloud Data Services
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Data and Content Management
Enterprise Content Management
Integration and Governance
Open Source
Information for...
Application Developers
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