The New Stack Podcast7 Jun 2023

Generative AI: What's Ahead for Enterprises?

In this episode featuring Nima Negahban, CEO of Kinetica, the potential impact of generative AI tools like ChatGPT on businesses and organizations is discussed. Negahban highlights the transformative potential of generative AI when combined with data analytics. One use case he mentions is an "Alexa for all your data," where real-time queries can be made about store performance or product underperformance in specific weather conditions. This could provide organizations with a new level of visibility into their operations.

Negahban identifies two major challenges in the generative AI space. The first is security, especially when using internal data to train AI models. The second challenge is ensuring accuracy in AI outputs to avoid misleading information. However, he emphasizes that generative AI tools, such as GitHub Copilot, can bring a new expectation of efficiency and innovation for developers.

The future of generative AI in the enterprise involves discovering how to orchestrate these models effectively and leverage them with organizational data. Negahban mentions the growing interest in vector search and vector database capabilities to generate embeddings and perform embedding search. Kinetica's processing engine, coupled with OpenAI technology, aims to enable ad hoc querying against natural language without extensive data preparation, indexing, or engineering.

Check out the episode to hear more about how the integration of generative AI and data analytics presents exciting opportunities for businesses and organizations, providing them with powerful insights and potential for creativity and innovation.

Read more about Generative AI on The New Stack

Is Generative AI Augmenting Our Jobs, or About to Take Them?

Generative AI: How to Choose the Optimal Database

How Will Generative AI Change the Tech Job Market?

Generative AI: How Companies Are Using and Scaling AI Models

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(300)

A third option is emerging in the fight over AI and your data

The AI industry has faced a growing enterprise dilemma: companies want access to powerful proprietary AI models without risking sensitive data or intellectual property, while AI labs want to protect t...

23 Sep 30min

Drowning in AI pull requests: Harness's field CTO on code review and a Git repo built for agents

Harness Field CTO Martin Reynolds joins The New Stack to talk about what happens after coding agents start opening pull requests faster than anyone can review them. He explains how he first saw the bo...

7 Sep 26min

How to find failures without drowning in tracing data

Traces provide a detailed view of a request’s journey through data, microservices and applications, helping SREs pinpoint where failures occur and resolve issues faster. But while tracing can reduce d...

3 Sep 31min

Why CPUs still matter in the age of AI agents

As AI evolves from conversational chatbots to autonomous agents, CPUs are becoming an increasingly important part of the infrastructure equation. In this episode, The New Stack speaks with Bhumik Pate...

11 Aug 26min

Why Doist Says Less AI Can Deliver More

Doist CTO Gonçalo Silva says AI is reshaping software development, but success depends on restraint rather than rapid feature expansion. Instead of chasing every AI capability, Doist prioritizes “subt...

31 Jul 35min

Why your company should (try to) build its own AI SRE

As AI coding agents accelerate software development, they also create new challenges for site reliability engineers (SREs), who are increasingly responsible for debugging systems that no single human ...

30 Jul 30min

Nvidia

In this episode with The New Stack Agents, Frederic Lardinois, NVIDIA’s Joey Conway says advances in AI over the past year have dramatically improved the capabilities of local models, making them prac...

23 Jul 32min

Meet Brain, the AI that decides when Azure is officially down

In this episode, Mark Russinovich, CTO of Microsoft Azure revealed Brain, the AI-powered AIOps system that continuously monitors Azure’s health, detects incidents, identifies root causes, and increasi...

14 Jul 19min