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5 ways to deploy your own large language model

CIO Business Intelligence

According to a September survey of IT decision makers by Dell, 76% say gen AI will have a “significant if not transformative” impact on their organizations, and most expect to see meaningful results within the next 12 months. First, the company uses a secure gateway to check what information is being uploaded. It’s blocked.”

Modeling 137
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Quantum Computing with @hellodavidryan: TDI 24

Data Science 101

I’d known him when I was at Red Hat in Australia, working on products such as JBoss, and then kept in touch when I moved to SF and founded a SaaS company. I joined as their first Product Manager, immediately open sourced and released the Qristal SDK, and was promoted to Head of Product.

Risk 107
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Why Best-of-Breed is a Better Choice than All-in-One Platforms for Data Science

O'Reilly on Data

So you need to redesign your company’s data infrastructure. Do you buy a solution from a big integration company like IBM, Cloudera, or Amazon? For this reason, such platforms may be a good choice for companies that don’t have the culture or skills to assemble their own platform. A little of both? Which path is best?

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5 things on our data and AI radar for 2021

O'Reilly on Data

The era in which tech companies had a regulatory “free ride” has come to an end. In the next year, increased regulation (such as GDPR, CCPA), antitrust, and other legal forces will force companies to adopt responsible ML practices. What’s the next platform on the horizon? What will that lead to in 2021?

Data Lake 289
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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Salesforce IT injects generative AI to ease its massive datacenter migration

CIO Business Intelligence

Salesforce recently rearchitected its Data Cloud and Einstein AI framework to introduce Einstein 1 , a platform aimed at enabling Salesforce users (and its own IT shop) to connect any data to create a unified profile of their customers and then infuse AI, automation, and analytics into every workload or customer experience, according to the company.

IT 139
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The AI continuum

CIO Business Intelligence

You probably know that ChatGPT wasn’t built overnight. That decade has given us newfound ways to use AI—from apps that know what you’ll type next, to cars that drive themselves and algorithms for scientific breakthroughs. Downsides: Lower accuracy; the source of dumb chatbots; not suited for unstructured data.