Sat.Mar 31, 2018

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Now That You Are A Soldier In The Cyber War You Must Know Your Cognitive Biases

CTOvision

None of us wanted this cyber war. But now that it is here all of us are targets. Even before the cyber war we were being overwhelmed with data. The average citizen is surrounded with information from TV, radio, entertainment, the Internet, social media, co-workers, neighbors, family, schools, the government as well as old sources […].

Internet 123
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Organizing for Innovation, Part I

The Agile Manager

Innovation happens through people, not assets. Assets can be an impediment to innovation: software that is brittle, monolithic, poorly encapsulated, or high-maintenance inhibits creative new uses of it. But assets don't innovate by themselves. Innovation happens through the people you have. We saw last month that innovation is stifled where management's prevailing goal is control.

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What The Board Needs To Know About Artificial Intelligence

CTOvision

No matter what the business, Artificial Intelligence (AI) is going to have an impact. It is changing the way consumers consume, changing the way companies create and changing the way industries create value. C-suite executives and members of boards are rightly concerned with assessing what about AI they should accelerate into their companies and what […].

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Organizational Development a true path to strategic development?

Rapid BI

Traditionally Organisational Development (OD) was mainly concerned with the three S’s: Structures, Staff & Skills, we explore a more holistic approach in this piece looking at enabling OD to be more strategic. The post Organizational Development a true path to strategic development? appeared first on RapidBI.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.