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Why IT projects still fail

CIO Business Intelligence

IT organizations have worked hard to get away from the problems that had plagued their past project delivery processes. They have replaced expansive scopes, the waterfall methodology, and long timelines with iterative development, the agile approach, and multiweek sprints, hoping to avert the big failures that have littered IT’s history.

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How climate concerns and incentives are driving solar installations on Washington roofs

GeekWire

We’re in a transitional time,” said Eliza Ives, renewable energy program manager with Seattle City Light. Solar is being incorporated into projects large and small. Seattle’s BLOCK Project put solar panels on the 12 mini houses that it has built so far for people experiencing homelessness.

Energy 132
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Trying to Develop a Death Star or a Flux Capacitor?

Social, Agile and Transformation

I cover topics for Technologists from CIOs to Developers - agile development, agile portfolio management, leadership, business intelligence, big data, startups, social networking, SaaS, content management, media, enterprise 2.0 Trying to Develop a Death Star or a Flux Capacitor? in managing the new product.

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Top 5 Attributes of Talented Agile Developers - Social, Agile, and.

Social, Agile and Transformation

I cover topics for Technologists from CIOs to Developers - agile development, agile portfolio management, leadership, business intelligence, big data, startups, social networking, SaaS, content management, media, enterprise 2.0 Top 5 Attributes of Talented Agile Developers. and business transformation.

Agile 105
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Agile Development as a Driver to Orginizational Change - Social.

Social, Agile and Transformation

I cover topics for Technologists from CIOs to Developers - agile development, agile portfolio management, leadership, business intelligence, big data, startups, social networking, SaaS, content management, media, enterprise 2.0 Agile Development as a Driver to Orginizational Change. and business transformation.

Agile 100
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The innovators behind intelligent machines: A look at ML engineers

Dataconomy

They design, develop, and deploy the machine learning algorithms that power everything from self-driving cars to personalized recommendations. They also develop algorithms that are utilized to sort through relevant data, and scale predictive models to best suit the amount of data pertinent to the business. They build the future.

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Top Ten Attributes of Agile Platforms

Social, Agile and Transformation

I cover topics for Technologists from CIOs to Developers - agile development, agile portfolio management, leadership, business intelligence, big data, startups, social networking, SaaS, content management, media, enterprise 2.0 Social, Agile, and Transformation. and business transformation. Wednesday, November 30, 2011.

Agile 173