Thu.Mar 08, 2018

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CIO Leadership Live with Mojgan Lefebvre, CIO of Global Risk Services at Liberty Mutual | Ep 6

ComputerWorld IT Management

Host Maryfran Johnson talks with Mojgan Lefebvre, CIO for Liberty Mutual's Global Specialty business, about how the insurance firm is leveraging the cloud, creating business-specific data strategy and getting the best from its acquisitions.

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What’re the Compelling Stories Behind Digitalization

Future of CIO

Communication is often the key to radical changes such as digitalization. The effective communication is not just for gaining popularity, but to share the vision and convey insight. Digital leaders today should be the great communicators who can tell compelling stories behind digitalization; communicate objectively with strong logic, understanding, creativity, and clarity.

Trends 40
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Following “ADVANCE” Principles to Build “Future-Proven” Digital Leadership

Future of CIO

The rule of thumb about leadership is for ADVANCEMENT. Advancement is about forward-thinking, progress, improvement, fresh insight, modernization, or innovation while the opposite of advancement is primitivity, outdated concept or knowledge, lagging, etc. When following “ADVANCE” principles, leaders become more mature; people are becoming more progressive; the life or the business reaches up to the next level of maturity, and the society as a whole is advancing to the next stage.

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The Weekly Insight of the “Future of CIO” 3/8/2018

Future of CIO

Blogging is not about writing, but about thinking, brainstorming, innovating and sharing. The “Future of CIO” Blog has reached 2 million page views with 4500+ blog posting in 59+ different categories of leadership, management, strategy, digitalization, change/talent, etc. The content richness is not for its own sake, but to convey the vision and share the wisdom.

Meeting 40
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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.