CTOvision

MARCH 3, 2019

Security of the data and algorithms and results of artificial intelligence takes new methods. At OODAloop.com Matt Devost provides a framework for improving the security and reducing the risk of problems from your AI deployment in a post titled: Securing AI – Four Areas to Focus on Right Now His approach: Build a strategy informed […].

Artificial Intelligence 223

Artificial Intelligence Security Strategy Data 223

Linux Academy

MARCH 3, 2019

Welcome back to the Adventures of Pinehead! Catch up on Pinehead’s adventures in part 1, part 2, and part 3 of The Story of Pinehead the Penguin. Meet our lovable mascot, Pinehead the Penguin. He’s on a journey to get to Linux Academy to become a Linux master! Get to know him through “The Story of Pinehead the Penguin,” laugh with him and his friends (and enemies) about Linux and cloud technologies, and go on a crazy adventure or two.

Linux 75

Linux Devops Meeting Cloud 75

Future of CIO

MARCH 3, 2019

The digital shift means change. It represents the next stage of business maturity which will improve how the enterprise works and interacts with its ecosystem. Digital Transformation can give businesses the ability to apply real-time insights across the organization in ways never possible before. The broader you can oversee and the deeper you can perceive the holistic digital impact, the further you can reach the digital vision and pinnacle.

Development 40

Development Architecture System Resources 40

Future of CIO

MARCH 3, 2019

Within abundant information and emergent digital technologies, IT is a key component of holistic business mindset to re-imagine “what is possible” - unleashing business potentials and improving business efficiency, effectiveness, agility, and maturity. The art of possible to reinvent IT in the digital age is to deliver the value of information in helping businesses grow, delight customers and doing more with innovation.

Engineering 40

Engineering Agile Data Strategy 40

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.

Applications