CTOvision

MAY 6, 2018

My sincere hope is that one of our CTOvision readers is selected for a position that Facebook has just advertised for. The job, titled a Public Policy Manager for Cybersecurity Threat Disruption, is a recognition that the companies we trust with our data should, and will, play greater roles in protecting our data, including leaning […].

Policies 188

Policies Advertising Data Company 188

Cloud Musings

MAY 6, 2018

“Digital disruption isn’t just for hip start-ups. Incumbents can not only compete but actually lead radical industry change if they pay attention to the way their business model is shifting and act boldly in response. - McKinsey & Company Founded in 1871, Economical Insurance operates within the old and relatively static Property and Casualty (P&C) insurance industry.

Insurance 70

Insurance Industry IBM SCRUM 70

Future of CIO

MAY 6, 2018

Nowadays, Information permeates everywhere in today's enterprise and technology makes continuous disruptions across industrial sectors. IT leadership holds the keys to making the company more efficient and effective and implementing processes and procedures that drive the company to the next level of business maturity. IT transformation means rationalizing current IT department and planning to partner with the business to provide tailored services and solutions in new ways.

Policies 49

Policies Fashion Resources Construction 49

Future of CIO

MAY 6, 2018

Corporate Performance Management is a management control from strategy till shop floor. "If you can't measure, you can't manage," legendary management guru Peter Drucker once asserted. Managing performance means understanding results, setting metrics, fixing plans, and making decisions to ensure it happens. It takes multifaceted approaches from multidimensional perspectives to unlock digital performance and catalyze change.

Change Management 49

Change Management Strategy How To Programming 49

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