• The rapid evolution of technology excites Anthony, especially in AI.
• User preferences are shifting towards more human-like AI interactions.
• Empathy in AI is crucial for better customer service experiences.
• The partnership between Amdocs and NVIDIA emphasizes the importance of software efficiency
• Software and hardware advancements must progress in parallel to maximize productivity.
• Physical AI integration will enhance daily life through automation and smart devices.
• Emergent behavior in AI represents a new frontier in reasoning and decision-making.
• Generative AI can learn and adapt beyond traditional if-then programming.
• An audit trail is essential for transparency in AI decision-making processes.

Mica shares the methods behind Augury’s fault testing processes, why they use the highest quality data available, how in-house experts help them filter their data reliably, and their approach to communicating with customers. Our conversation also explores the balance between edge computing and cloud computing, and why both are necessary for optimal performance and monitoring.

Key Points From This Episode:

• Mica’s journey from studying physics at the Weizmann Institute to her current role at Augury.
• How her background in physics and neuroscience inform her work in AI.
• Why physicists are drawn to AI and data science; how scientists follow their curiosity.
• Mica’s responsibilities in her role as algorithms team lead at Augury.
• How they develop algorithms and test for faults; why this requires the highest quality data.
• Understanding the role of their in-house expert vibration analysts.
• The importance of domain expertise in labeling and annotating data.
• Finding the balance between manual and automated processes in data labeling.
• How to communicate with customers and present metrics that matter to them.
• Augury’s use of edge and cloud computing for optimal performance and monitoring.

Quotes:

“We look for better ways to adjust our algorithms and also develop new ones for all kinds of faults that could happen in the machines catching events that are trickier to catch, and for that we need highest quality data.” — Mica Rubinson [0:08:20]

“At Aubrey, we have internal vibration analysts that are experts in their field. They go through very rigorous training process. There are international standards to how you do vibration analysis, and we have them in-house.” — Mica Rubinson [0:09:07]

“[It’s] really helpful for us to have [these] in-house experts. We have massive amounts of records – signal recordings from 10 years of machine monitoring. Thanks to these experts [in] labeling, we can filter out a lot of noisy parts of this data.” — Mica Rubinson [0:10:32]

“We quantify [our services] for the customer as their ROI [and] how much they saved by using Augury. You had this [issue, and] we avoided this downtime. [We show] how much does it translates eventually [into] money that you saved.” — Mica Rubinson [0:22:28]

Links Mentioned in Today’s Episode:

Mica Rubinson on LinkedIn

Mica Rubinson on ResearchGate

Augury
Weizmann Institute of Science

How AI Happens

Sama

Srini highlights the importance of integrating these agents into real-world applications, enhancing productivity and user experiences across industries. Srini also delves into the challenges of building reliable, ethical, and secure AI systems while fostering developer innovation. His insights offer a roadmap for harnessing advanced agents to drive meaningful technological progress. Don’t miss this informative conversation.

Key Points From This Episode:

• Introducing today’s guest, Srini Iragavarapu, a leader at AWS.
• His thoughts on how Agentic and AI are intersecting today.
• The state of the union of agents in the world and at AWS.
• How AWS is leveraging agents to build specific tasks for customers.
• Two mechanisms that software agents use to operate.
• Understanding the reasoning capabilities of large foundational models.
• How AWS makes use of a test agent.
• Qdeveloper’s instantaneous conversational capabilities.
• Bringing different options to the customers as a long-term strategy.
• Three layers at which AWS is innovating today.
• Why the end user is ultimately the person who benefits.

Quotes:

“Think of it as an iterative way of solving a problem rather than just calling a single API and coming back: that’s in a nutshell how generative AI and the foundation models are working with reasoning capabilities.” — Srini Iragavarapu [0:03:04]

“The models are becoming more powerful and more available, faster, a lot more dependable.” — Srini Iragavarapu [0:29:57]

Links Mentioned in Today’s Episode:

Srini Iragavarapu on LinkedIn

How AI Happens

Sama