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Strategic Agile Thinking: Balancing Value, Innovation and Research

Social, Agile and Transformation

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 2) The agile "happy place".

Agile 143
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What is the Abstraction Level of Reference Architecture

Future of CIO

Reference architectures are useful because they are a tool to break down the complexity of an enterprise architecture. From Wikipedia: A reference architecture in the field of enterprise architecture provides a template solution for an architecture for a particular domain. Where do they need framework and guidance?

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December Tech Trends Report and 2016 Enterprise Tech Projections

CTOvision

Bi g Data. Here is more on what we expect each will bring us in 2016: Cloud Computing : The efficiencies of this new architecture are driving compute costs down. And the agility of this model is helping innovators innovate and developers develop. Expect 2 Billion smart phones in the world in 2016. R obotics.

Trends 150
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The CIO's Four Views of IT KPIs

Future of CIO

IT Cost Breakdown The big challenge facing business today is the " Speed of Change, " which is often applying activity-based management concepts to IT services. The controversial point for IT cost breakdown is: With today's complex enterprise architectures it's becoming more and more difficult to identify the cost per unit.

Budget 69
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Making the most of MLOps

CIO Business Intelligence

But the tools that data scientists use to create these proofs of concept often don’t translate well into production systems. As a result, it can take more than nine months on average to deploy an AI or ML solution, according to IDC data. “We And the data pipeline management functionality is also critical to operationalizing AI. “If

Devops 145
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Making the most of MLOps

CIO Business Intelligence

But the tools that data scientists use to create these proofs of concept often don’t translate well into production systems. As a result, it can take more than nine months on average to deploy an AI or ML solution, according to IDC data. “We And the data pipeline management functionality is also critical to operationalizing AI. “If

Devops 138
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Weighing risk and reward with gen AI vendor selection

CIO Business Intelligence

According to G2’s latest state of software report, AI is the fastest-growing software category in G2 history. The company now tracks a total of 1,078 AI vendors, and AI categories gained 643 new products over the previous year. And the AI writing assistant category grew by 177%. There’s no clear leader in the market yet.”