“Technology is rapidly expanding the limits of human capacity. … Specifically, artificial intelligence (AI) has catapulted the modern workplace into an era that has redefined our professional relationship with technology and the skills necessary to navigate the dramatic changes within it. … Whereas the markers that best defined Work 3.0 were associated with talent distribution and the opportunities provided to organizations based on flexibility of location or platform, Work 4.0 is defined by the evolution of worker skill sets and the integration of human excellence with agentic AI. … Thus, it’s less restrictive from a hiring perspective.”

The most striking change is how intelligence tools are reshaping the talent landscape. Chris Daden, CTO from Criteria, described a dramatic shift. Senior developers are becoming exponentially more productive while junior developers gain access to expertise that used to take years to develop.

Chris Daden, CTO of Criteria Corp, joins David Savage to explain why CVs are no longer fit for purpose in the age of generative AI. With over 60 million assessments delivered globally, Criteria is redefining how we evaluate talent—moving away from static credentials and toward dynamic, science-based signals. From the psychological impact of agentic AI to the rise of product engineers, this episode offers tech leaders a blueprint for hiring in a rapidly shifting world of work.

“We were able to take our mission of criteria for helping companies and candidates and build out a data infrastructure that really met our needs"

“I believe that they’re just as critical as coding or security knowledge,” he said. “And I think, for example, a security analyst’s attention to detail can translate very well to a DevOps skill set, and a help desk technician’s troubleshooting mindset can help that person transition into cybersecurity.” 

In this episode, Chris Daden sits down with Jai Jayaraman to dive into the world of technology and electric utilities. Jai is a solutions delivery manager at a mid-sized engineering firm, with more than 20 years leading the charge in technologies and utilities.

We'll explore the entire utility value chain from generation to distribution and unpack the challenges and innovations that are shaping the future of this critical industry. We also discuss how emerging technologies like digital twins and AI are being used to improve grid resilience, customer experience and overall efficiency.

In this episode, Chris Daden sits down with Dan, Walt, and Laura to discuss the evolving role of AI across design, data science, and business operations. We look at how AI is changing the way teams collaborate, what the biggest misconceptions are in the business world, and how we balance AI efficiency with human creativity. 

In this episode, Chris Daden sits down with Hannah Dose, co-founder and CEO of AUGenomics, to discuss the power of genomics, current applications, and the road ahead for AUGenomics and the technology that powers the genomics industry.

Chris Daden sits down with Brian Stein, this month's guest speaker at Rancho Cucamonga Tech Forum, to discuss his experiences and observations when it comes to the interview process within the world of tech.

“Developers should establish an “AI operations core” for code generation, ensuring inputs and outputs are sanitized and secure. Use only reputable AI models and tools with strong industry acceptance to mitigate risks, such as model tampering or poisoning. This security-first stack fosters safe, effective AI integration, protecting against emerging threats while leveraging AI’s full potential.”

Use a comprehensive open-source software management program. Just as an organization would inventory any other important asset, open-source usage needs to be managed. A comprehensive program includes conducting regular audits, tracking and monitoring dependencies, and enforcing license compliance. Additionally, consider software composition analysis tools to identify and mitigate security risks with open-source components.

A persistent headache for Large Language Models (LLMs) is the occurrence of hallucinations, where the model generates incorrect or fictional information.

Hallucinations occur due to a restricted grasp of context, as the model is compelled to convert both the input prompt and training data into an abstract representation, potentially leading to the loss of certain information. Another important note is that even the most powerful language models only understand the world through their most recent training data set. The LLM’s knowledge of the world is stuck in time, and cannot go beyond the training data it currently has.

Successfully completing complex IT tasks requires more than just raw talent and specific skills. “The IT space is so technical that maintaining the human element is important,” Daden says. “Managing employee stress, communicating clearly, and addressing and validating each individual’s concerns are all important when guiding a team.”

To make LLMs truly useful for specific professional use cases, it is essential to understand how to optimize them to produce highly relevant and specific outcomes. This brings us to the key concepts of Fine-Tuning and Embedding. By understanding these techniques, businesses can fully harness the power of LLMs, transforming them from mere chatbots to highly specialized knowledge systems.

“Engage employees in cybersecurity training by leading with impact: Highlight potential damages and consequences. Add incentives, such as scoreboards and rewards, to affirm desired behavior. Measure and report security scores, and recognize “security culture champions” in all-hands meetings. Keep an eye on your industry peers—if incidents happen, create a relatable educational moment from them.”

The vast majority of successful cyberattacks target employees. According to Verizon’s 2022 Data Breach Investigations Report, 82 percent of breaches over the preceding year involved a human element. One of the most common mistakes companies make in the development of their cybersecurity strategies is overlooking this element and failing to prioritize employee education. HR teams have an integral role to play in changing this status quo.