November 03, 2013

IBM Social Business Bets on Key Application and Technologies
IBM joins up the two sides of the equation – a smarter workforce and superior customer experiences – with its platform for social business. Companies can access it through the IBM SmartCloud, a private cloud, on-premises or using a hybrid model. IBM sees SmartCloud for social business as a way to connect business users more efficiently and effectively.

HP sues seven optical drive makers over price-fixing
In a statement to Computerworld about the move, HP said it takes "price-fixing very seriously and intends to pursue its rights aggressively in this and in other price-fixing litigation." None of the companies named in the lawsuit responded to requests for comment. The lawsuit claims the conspiracy to drive up prices took place from at least Jan. 1, 2004 through Jan. 1, 2010, when "almost all forms of home entertainment and data storage were on optical discs."

Enterprise Architecture Standards
Standards can be a powerful tool to get to grips with certain aspects of our work. However, managing a standards base appears to be tricky: we see many initiatives fail, despite the best intensions of all involved. In this short recording we will discuss the necessity of standards as well as standards management, and present a simple framework for documenting and governing standards in practice. This framework was co-developed and road-tested with various customers over the last 8 years

Failure Happens. Four Rules for Doing it Well
Failure is a fact of start-up life. And sometimes, sadly, it’s the entire company that fails. As much as we don’t like to think about failure, it’s important to prepare yourself mentally for the prospect that your turn in the dunk tank may be right around the corner.Here are four crucial rules to keep in mind:

Understanding Which Investments Should Go To The Cloud
The truth is, most companies significantly underestimate the scope of change required to establish cloud services until it’s too late. In the traditional model, companies buy technology from a vendor as a capital investment, and continue to invest in maintaining and servicing it over time. With the cloud being a service, however, the financial model should be treated more like a utility, requiring the reallocation of budget from capital expenses into operating expenses.

CERN: A Case Study in "Big Science" Data Management
In light of these two factors, CERN has been proactive about preserving data for future re-use, even as it remains plagued by non-standardized, ad-hoc formats, and highly complex data models. CERN was a co-founding organization in the Alliance for Permanent Access, a European data preservation working group. Internal efforts are underway as well, although these have not yet been implemented completely.

The Art of Project Management: The Siege of Portfolio Management
But project selection is only a first step. Portfolio management is more than decision-making levers and it’s more than a portfolio management tool. To create a robust portfolio management framework, process is required and governance must be established (which includes a staged approval). With this three-part equation (levers+process+governance) an organization will be able to realize the value of portfolio management.

Big Data needs Data Science but Data Science doesn’t need Big Data
What really matters in data science is the team effort and your role as a liaison. Your company has large amounts of data and you want to make sure your queries are correct. Whatever tool you use, make sure you have your data cleansed. You want to know that it’s normalized and indexed so that things run smoother. You want to be able to give insight, which requires knowledge of your audience.

Risks and Strategies: Managing Enterprise File Data Securely
Every enterprise has secret, compliance-related, or otherwise confidential data contained in the data center. The management and control of these files especially in a distributed and mobile world is fraught with hidden dangers and risks. Encryption alone cannot solve all of these problems. So join Chris Winter and fellow data center professionals for this insightful discussion on the issues involved, and discover the preventative actions and technologies needed to manage your enterprise file data securely.

Predictive Analytics 101
Predictive models typically analyze current and historical data on individuals to produce easily understood metrics such as scores. These scores rank-order individuals by likely future performance, e.g., their likelihood of making credit payments on time, or of responding to a particular offer for services. Predictive models can also detect the likelihood of a transaction being fraudulent (Risk Detection). Predictive models are frequently operationalized in mission-critical transactional systems and drive decisions and actions in near real time. A number of analytic methodologies underlie solutions in this area

Quote for the day:

"I will listen to anyone's convictions, but please keep your doubts to yourself." -- Goethe

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