Blogs

Jen Q. Public: Analytics help connect the dots for cybersecurity

Jen Q. Public: Analytics help connect the dots for cybersecurity

May 22, 2015 | by Natasha Bishop, Digital Marketing Lead, Public Services Sector, IBM Analytics
The increasing number of hacks reported in the news every day is chilling. What can public and private organizations do to protect themselves and the people they serve from relentless cyber threats? Take comfort that big data and analytics are on the case in innovative, intelligent ways.
Data management solutions for high-speed analytics

Data management solutions for high-speed analytics

May 21, 2015 | by Pethuru Raj, Infrastructure Specialist: Infra Strat & Design Svcs for Cloud Computing
Big data is growing at phenomenal speed. Organizations need an efficient, agile data management system to keep pace.
Fight the cold cyberwar with analytics

Fight the cold cyberwar with analytics

May 21, 2015 | by Andrew Friedrich, Big Data, Analytics & Cyber Solution Leader, IBM
Malware, in and of itself, is not malicious; the cybercriminal behind the malicious code is the real culprit. Learn why a strategic, investigative shift in focus on both the cyberattack and the nefarious organizations behind them is necessary in today’s cyberwarfare engagement.
Do you have a big data strategy yet?

Do you have a big data strategy yet?

May 21, 2015 | by H Rajendra Kamath, Engineering Manager, IBM
Humankind is witnessing substantive paradigm shifts for big data that are transitioning business from recording and reporting approaches to analyzing and predicting practices. Take a look at some emerging data-centric use cases that reveal how automation, the Internet of Things and big data and...
Machine learning as a fluid intelligence harvesting service

Machine learning as a fluid intelligence harvesting service

May 20, 2015 | by James Kobielus, Big Data Evangelist, IBM
Many machine-learning-as-a-service (MLaaS) offerings have natural language processing at their core to support applications such as concept expansion, language identification, machine translation, user modeling, visualization rendering and more. Discover how MLaaS boosts productivity by uncovering...
Taking the next step toward text analytics

Taking the next step toward text analytics

May 18, 2015 | by Jacques Roy, WW Technical Sales - Big Data: InfoSphere Streams, Informix TimeSeries, IBM
Even when learning a new language, becoming fluent within certain contexts can be easier than other contexts. When analyzing textual data, context is imperative to understand that data. And like corpora developed for linguistics research, a simple and straightforward conversion of textual data...
Apache Spark and the power of openness

Apache Spark and the power of openness

May 15, 2015 | by James Kobielus, Big Data Evangelist, IBM
The drive toward industry openness continues at full speed, and Apache Spark is expected to become one of the centerpieces of the big data industry fabric. As a closely aligned technology with Apache Hadoop, it stands to benefit from broad adoption of core open data platform technologies.
Realize insights with data visualization

Realize insights with data visualization

May 13, 2015 | by Sameer Bhatia, Founder and CEO, ProProfs
Audiences may feel intimidated when dealing with big data analysis, but visualization can help make it easier to understand.
How our cities are using social data

How our cities are using social data

May 12, 2015 | by Tim Thompson, Sr. Marketing Manager, IBM and Twitter partnership, IBM
Large municipalities need to be ever vigilant in providing essential health, safety, security, social, traffic and other services. What better way to glean their citizens’ sentiments on these matters than capitalizing on social media data channels such as Twitter?
Geospatial analytics: Uncovering insights not found in charts and tables

Geospatial analytics: Uncovering insights not found in charts and tables

May 11, 2015 | by Mikhail Lakirovich, Product Marketing Manager, IBM
Predictive analytics that incorporates geospatial data can provide answers and insights not found in charts or tables, and it can be extremely helpful for organizations that want to answer the critical who, what and where questions for accurate forecasting.

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