In this webinar, Criteria’s Chief Technology Officer, Chris Daden, and Chief People Officer, Jillian Phelan, explore how AI is reshaping candidate behavior and what organizations can do to maintain fairness and authenticity in their hiring process. Together, they unpack how AI is being used by job seekers today, what counts as “cheating” (and why that definition can vary), and how hiring teams can communicate clear expectations while maintaining a great candidate experience.

Chris Daden, CTO of Criteria, speaks about the Future of Work & AI.

“AI is fundamentally changing how tech organizations think about and evaluate the talent we bring in,” said Christopher Daden, CTO at Criteria Corp. “Hiring is no longer just about the experience or hard skills that someone has, but their emotional intelligence, willingness to adapt, ability to think critically and work effectively alongside AI.”

AI is no longer just about adding features. It’s reshaping how products are built, how teams operate, and who—or what—does the work. In this episode of the Tech Connect Podcast, we’re joined by Andy, founder of ‪@LuckyDayLabs‬ and Chris from SoCal Tech Forum to explore what’s actually happening in AI product development today, beyond the hype.

“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.”

We’re entering Work 4.0 – a new era in which agentic AI is no longer experimental. The autonomous contextual-reasoning technology is being embedded into daily operations, decision-making and product delivery across industries. Unlike traditional automation, agentic AI doesn’t just follow instructions – it assesses independently, takes initiative, interacts with environments and makes decisions in pursuit of goals. This shift – a great leap in AI tech and work life as we know it – brings with it both enormous potential and significant responsibility. 

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.

Join us for an discussion on how Criteria Corp is transforming the interviewing process using Amazon Bedrock and AWS-native data architecture with generative AI at scale. This lightning talk will explore the democratization of hiring through generative AI, highlighting its game-changing impact on the industry. Delve into the use of native serverless services in Criteria’s innovative solutions and learn actionable insights for how small to medium-sized businesses can leverage these advancements. Attendees gain a deeper understanding of using science-based tools and methodologies to achieve optimal hiring outcomes and development opportunities, enabling them to build the best teams.

Cloud marketplaces are emerging as the preferred destination for software, services, and data procurement. These solutions from experts in the worldwide AWS Partner community have become a vital component of the overall cloud and digital strategy for organizations. To enable innovation at speed, organizations have already begun to modernize the way they acquire, deploy, and govern these solutions through AWS Marketplace. In this session, AWS Marketplace Customer Advisors and business innovation leaders discuss how they have worked with organizations to revolutionize the management of the complete lifecycle of partner solutions integrated in their AWS innovation journeys.

Watch how Criteria Corp, a talent success company, worked with Amazon Web Services (AWS) and Caylent to build a strong data foundation to help its customers make more science and evidence-based decisions, and empower its candidates with a fair and equitable experience removing bias from the hiring process.

“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.”