Future of CIO

AUGUST 18, 2019

Everything is interconnected and the business ecosystem becomes so interdependent and dynamic. Innovation also becomes so complex and has a lot to do with external environment while people tend to focus on internal circumstances. Innovation nowadays is critical for the company’s survival and thriving. Thus, organizations need to awaken the ecosystem consciousness, start thinking about ways to innovate, influence, and cultivate a dynamic innovation ecosystem, Develop the cross-ecosystem innovatio

Industry 45

Industry Resources Education Tools 45

I'm not lost, I'm wondering

AUGUST 18, 2019

While the methods and the amount of collaboration required may differ, what goes for individuals goes for organizations. Every single time you are faced with a decision, you need to ask “Do we have the right information to make this decision?” If you are continuously making decisions, you need to continuously ensure that those decisions are well-informed.

Research 40

Research 40

Future of CIO

AUGUST 18, 2019

The effects of an increasingly digitized world are now reaching into every corner of businesses and every aspect of organizations. Digital is the age of creativity and innovation, creativity is the most desired trait for digital leaders and professionals today, and innovation is the light every organization is pursuing. Which themes shall you set to advocate digital transformation?

How To 45

How To Development Virtualization Strategy 45

Future of CIO

AUGUST 18, 2019

A dedicated mind focuses on thinking, growing or innovating, and their energy flows towards the positive direction. " Digital Master ” is a series of guidebooks (28 + books) to perceive the multi-faceted impact digital is making to the businesses and society, help forward-thinking organizations navigate through the journey in a systematic way, and avoid “rogue digital.

Energy 45

Energy Authentication Agile Change Management 45

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