Brian Benedict of Eliza, chief executive officer and co-founder, and Matt Bishop of Eliza, chief technology officer, appear on theCUBE and NYSE Wired to discuss agentic artificial intelligence adoption and developer velocity in enterprise environments. They explain how Eliza codifies engineering standards accelerates developer velocity and implements practical rollout strategies. theCUBE Research appears throughout and hosts steer the conversation toward real-world use cases model selection and token economics.
Key takeaways include a focus on targeted high-impact automation and the importance of data readiness. Benedict emphasizes that codifying engineering principles can increase output tenfold while reducing token spend. They underscore the need for data readiness and governance to enable scalable deployments. Bishop highlights developer velocity and provides case studies, including a request for proposal automation that reduces timelines from weeks to days. They address model diversification, private equity portfolio plays, build versus buy tradeoffs and self-hosting for sensitive data, offering practical guidance for engineering leaders product teams and investors evaluating agentic AI adoption in the enterprise.
Forgot Password
Almost there!
We just sent you a verification email. Please verify your account to gain access to
theCUBE + NYSE Wired: Mixture of Experts Series. If you don’t think you received an email check your
spam folder.
Sign in to theCUBE + NYSE Wired: Mixture of Experts Series.
In order to sign in, enter the email address you used to registered for the event. Once completed, you will receive an email with a verification link. Open this link to automatically sign into the site.
Register For theCUBE + NYSE Wired: Mixture of Experts Series
Please fill out the information below. You will recieve an email with a verification link confirming your registration. Click the link to automatically sign into the site.
You’re almost there!
We just sent you a verification email. Please click the verification button in the email. Once your email address is verified, you will have full access to all event content for theCUBE + NYSE Wired: Mixture of Experts Series.
I want my badge and interests to be visible to all attendees.
Checking this box will display your presense on the attendees list, view your profile and allow other attendees to contact you via 1-1 chat. Read the Privacy Policy. At any time, you can choose to disable this preference.
Select your Interests!
add
Upload your photo
Uploading..
OR
Connect via Twitter
Connect via Linkedin
EDIT PASSWORD
Share
Forgot Password
Almost there!
We just sent you a verification email. Please verify your account to gain access to
theCUBE + NYSE Wired: Mixture of Experts Series. If you don’t think you received an email check your
spam folder.
Sign in to theCUBE + NYSE Wired: Mixture of Experts Series.
In order to sign in, enter the email address you used to registered for the event. Once completed, you will receive an email with a verification link. Open this link to automatically sign into the site.
Sign in to gain access to theCUBE + NYSE Wired: Mixture of Experts Series
Please sign in with LinkedIn to continue to theCUBE + NYSE Wired: Mixture of Experts Series. Signing in with LinkedIn ensures a professional environment.
Are you sure you want to remove access rights for this user?
Details
Manage Access
email address
Community Invitation
Brian Benedict & Matt Bishop, Eliza
Brian Benedict of Eliza, chief executive officer and co-founder, and Matt Bishop of Eliza, chief technology officer, appear on theCUBE and NYSE Wired to discuss agentic artificial intelligence adoption and developer velocity in enterprise environments. They explain how Eliza codifies engineering standards accelerates developer velocity and implements practical rollout strategies. theCUBE Research appears throughout and hosts steer the conversation toward real-world use cases model selection and token economics.
Key takeaways include a focus on targeted high-impact automation and the importance of data readiness. Benedict emphasizes that codifying engineering principles can increase output tenfold while reducing token spend. They underscore the need for data readiness and governance to enable scalable deployments. Bishop highlights developer velocity and provides case studies, including a request for proposal automation that reduces timelines from weeks to days. They address model diversification, private equity portfolio plays, build versus buy tradeoffs and self-hosting for sensitive data, offering practical guidance for engineering leaders product teams and investors evaluating agentic AI adoption in the enterprise.