Innovation Excellence
MAY 3, 2024
GUEST POST from Mike Shipulski What if you could see everyone as doing their best? When they are ineffective, what if you think they are using all the skills to the best of their abilities? What changes when you see people as having a surplus of good intentions and a shortfall of skills?
Kainexus
MAY 3, 2024
In today's fast-paced and ever-evolving business landscape, enterprise transformation has emerged as a strategic imperative for organizations seeking to thrive in the face of unprecedented disruption and uncertainty. From technological advancements to shifting consumer expectations, organizations are constantly confronted with many challenges that necessitate fundamental changes in how they operate and deliver value.
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Rmukesh Gupta
MAY 3, 2024
This post talks about 7 things we can do to get people to listen to us and what we have to say. If we want to lead and grow in our organisation, it is important that people we lead, who lead us and our peers listen to us, our ideas and take them seriously.
ITONICS
MAY 3, 2024
Imagine the scenario: you’ve heard about a great new technology promising huge benefits. Before you convince your team and make an investment decision, take a step back and consider the tech evaluation criteria that affect your ability to implement it as well as the external landscape in which it will need to succeed.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
If AI agents are going to deliver ROI, they need to move beyond chat and actually do things. But, turning a model into a reliable, secure workflow agent isn’t as simple as plugging in an API. In this new webinar, Alex Salazar and Nate Barbettini will break down the emerging AI architecture that makes action possible, and how it differs from traditional integration approaches.
Harvard Business Review
MAY 3, 2024
Identifying as an organizational member — or feeling a strong sense of attachment to the organization — is generally a positive thing for employees and employers. But our research on workplace incivility and mistreatment shows that it can also shape when — and if — employees recognize and respond to subtle forms of discrimination against women at work.
Harvard Business Review
MAY 3, 2024
As AI becomes more powerful, it faces a major trust problem. Consider 12 leading concerns: disinformation, safety and security, the black box problem, ethical concerns, bias, instability, hallucinations in LLMs, unknown unknowns, potential job losses and social inequalities, environmental impact, industry concentration, and state overreach. Each of these issues is complex — and not easy to solve.
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