Industries

Machine learning molds the material world

December 18, 2014
Computational modeling has revolutionized all branches of the physical sciences, engineering and design. Leading-edge work in these fields is pushing new computational frontiers at nano scales. Computation-centric methods allow researchers to model, simulate and assess a much wider array of options far more rapidly than old-fashioned physical techniques. However, the incredible productivity of computational prototyping carries a downside: far more candidate molecules can be simulated than can reasonably be assessed by human researchers. The bottom line is that when you build bigger haystacks, you need more powerful tools for finding the golden needles that may be buried deep within.  Read More

The data behind the ALS Ice Bucket Challenge

December 18, 2014
This past summer we witnessed an incredible phenomenon seemingly capturing the world by storm: The ALS Ice Bucket Challenge. Facebook estimates 28 million people posted about ALS between June 1 and August 28, including comments and tags. Read More

Big Data & Analytics Heroes: David M. Lawson

December 16, 2014
“As you dig deeper into unstructured data where feelings, emotions and other often messy information reside, you have to embrace qualitative metrics which don’t fit neatly into traditional quantitative analysis,” says David M. Lawson, co-founder & CEO of NewSci, LLC and this week’s Big Data & Analytics Hero. Read More

Harnessing and protecting big data for financial services

December 15, 2014
Financial services and banking are data-driven. Organizations in these industries store and analyze data on millions of customers, this data valued in the billions. As a consequence, they have to struggle with ever increasing volumes, velocity and variety of data. To stay ahead of competition, and to detect fraud before it happens, financial service companies are using Hadoop to more effectively analyze data and make well-informed decisions. Read More

Closing the web app data security gap

Dynamic data masking for web applications

December 15, 2014
The rigidity of web application security controls have left companies vulnerable to data breach. How can companies ensure they aren’t leaving themselves open to attack while maintaining secure web application data to protect privacy and support compliance? Read More

How Hadoop is changing energy and utilities

December 12, 2014
Today, energy and utility companies are relying on Hadoop to help curb energy consumption, reduce energy loss and add more clean power to the grid. Using big data and analytics, organizations can empower users to understand their energy usage and give them the chance to reduce how much they use and pay. Read More

Why advanced analytics projects are different from traditional IT

December 9, 2014
To fulfill the promise of analytics, we must put a lot more effort into delivering these projects right, the first time. We must think through each of the traditional success criteria and ask ourselves the burning question: how is delivering analytics different? This starts from gaining executive support, creating a business case, putting a team together, conducting proof of concept, quantifying benefits realization and socializing results for enabling analytics driven organizational change. Read More

Big Data & Analytics Heroes: Jake Porway

December 9, 2014
Jake Porway, founder and executive director of DataKind and this week’s Big Data & Analytics Hero, shares that they’ve found that "cross-sector collaborations between data scientists, managers, designers, foundations, nonprofits and more are critical for really making lasting change.” When we all come together and lock elbows we can use data to really make a difference.  Read More

What can marketers learn from a rugby match?

December 5, 2014
The power of social media analytics is in the opportunities it provides and the insights you gain, not the raw data. Read More

From IT drudgery to IT freedom

December 3, 2014
What are the opportunities of data refinement from the IT point of view? Does self-service data refinement devalue IT? Does it simply create more work for IT, cleaning up after business users who have run amuck? Read More

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