Sun.Oct 28, 2018

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Four Steps to Make Your Business Intelligence Teams More Relevant

CTOvision

The world of analytics is changing. Self-Service Analytical tools like Tableau, Qlik, and Power BI are enabling business users to perform reporting and analytics on their own with little to no support from the IT organization. This trend has evolved due to several factors including: Organizations are flooded with data and IT organizations are not […].

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CIO Leadership Live with Bask Iyer, CIO at VMware | Ep 16

ComputerWorld IT Management

In this episode, host Maryfran Johnson talks with Bask Iyer, CIO and EVP at VMware, and general manager of Edge Computing/IOT for Dell Technologies, about digital transformation, edge computing, talent engagement and more.

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The Monthly “Digital Master” Book Tuning: Taking the Logical Steps to Go Digital Oct. 2018

Future of CIO

Digital makes a significant impact on every aspect of the business from people, process to technology, both horizontally and vertically. Digital becomes the very fabric of high performing business, being outside-in and customer-centric is the new mantra for forward-looking and high mature digital organizations today. Digital Master refers to those high-performing, highly innovative and high-mature (less than 15%) digital organizations; they have both clear digital vision and well-crafted digital

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The Bottom-Up Innovation

Future of CIO

As business competitions get more cut-throat in the hyper-connected and always-on working environment, this puts stress on the workforce that is not conducive to more creative and experimental thinking and working. In fact, innovative solutions often come from the floor and not the ceiling. The science of innovation is to take a structural approach to innovation management.

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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.