Blogs

Applying predictive analytics to intelligent, holistic law enforcement

Applying predictive analytics to intelligent, holistic law enforcement

June 30, 2015 | by Kaitlin Noe, Analytics Solutions Social Specialist, IBM
The world’s population is increasingly moving to urban areas, creating a dense and complex environment for crime. To combat urban crime, public safety workers are breaking down departmental silos and moving toward predictive policing systems. But how can we ensure public safety officials present a...
How the Internet of Things is providing insights and boosting uptime

How the Internet of Things is providing insights and boosting uptime

June 30, 2015 | by Mary Gorczynski, Social Strategist for the Internet of Things, IBM
Today we hear from seven companies, all of which consistently tell us that analytics and Internet of Things solutions from IBM are not only providing them with insights, but also offering them the ability to predict things in their maintenance plans that can help them avoid downtime.
Spark and Hadoop: Taking big data to the next level

Spark and Hadoop: Taking big data to the next level

June 30, 2015 | by Peter Schlampp, Vice President of Product, Platfora
Spark is one of the key enablers of Hadoop’s journey from the Trough of Disillusionment to the Plateau of Productivity. Together, Spark and Hadoop are taking big data to the next level.
How the oil and gas industry is using technology to reduce water consumption

How the oil and gas industry is using technology to reduce water consumption

June 30, 2015 | by Steve Everley, Senior Director, Energy and Natural Resources, FTI Consulting
The hydraulic fracturing industry has accepted the challenge of leveraging new technology to improve operations. And the best news is that the innovation is only just beginning.
How I learned to love Excel again

How I learned to love Excel again

June 30, 2015 | by Debra Pesek, Portfolio Marketing Manager – Performance Management, IBM
IBM Performance Management can fill in the gaps to enhance Excel, letting all your data live happily in one place so that people can easily use Excel to input data, with results instantly reviewable at every level.
Utilities eye peak energy hours for savings opportunities

Utilities eye peak energy hours for savings opportunities

June 29, 2015 | by John Johnson, Editor, RFID 24-7 & Content on Demand
For years, utility executives have relied on old data to predict peak energy hours. The days of looking in the rear-view mirror are gone as data becomes available in real time. Instead, cutting-edge utilities are analyzing reams of new data to predict when consumers will use more energy. As a...
Public Sector News: Facing cybersecurity threats with analytics

Public Sector News: Facing cybersecurity threats with analytics

June 2015, Issue 10

June 29, 2015 | by Oliver Clark, Social Media Specialist for Public Sector, IBM
The Internet and our social feeds are full of blogs, news and articles on the strides that the public sector is making with big data and analytics. This issue of Public Sector News skims the wires and focuses on some interesting articles that offer food for thought and debate.
The keys to monetizing the Internet of Things

The keys to monetizing the Internet of Things

June 29, 2015 | by Ryan Begley, Product Manager IoT Division - Connected Products, IBM
With sweeping change in the near future, and with so much money at stake, how does an organization monetize the IoT? How do you strike it rich in the IoT gold rush?
But what if I don’t want to become a digital business?

But what if I don’t want to become a digital business?

June 29, 2015 | by Paul DiMarzio, Worldwide Portfolio Marketing Manager, IBM z Systems Big Data and Analytics, IBM
Face it. Competing digital businesses are very likely coming to your industry. Why resist the digital business model? Consider an incremental transition and change your mindset.
Developing the big data and analytics maturity model

Developing the big data and analytics maturity model

June 29, 2015 | by Niall Betteridge, Executive IT Architect, IBM
The big data and analytics maturity model gives business-driven enterprises a framework for a flexible, coherent approach to big data and analytics. See what drives the evolution of this model to offer organizations insight through a real-time, actionable context.