Remove Machine Learning Remove Off-The-Shelf Remove Training
article thumbnail

Taktile makes it easier to leverage machine learning in the financial industry

TechCrunch

Meet Taktile , a new startup that is working on a machine learning platform for financial services companies. This isn’t the first company that wants to leverage machine learning for financial products. They could use that data to train new models and roll out machine learning applications.

article thumbnail

How AI orchestration has become more important than the models themselves

CIO

As many companies that have already adopted off-the-shelf GenAI models have found, getting these generic LLMs to work for highly specialized workflows requires a great deal of customization and integration of company-specific data. Large language models (LLMs) just keep getting better. From Llama3.1 to Gemini to Claude3.5

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

9 IT resolutions for 2025

CIO

Wetmur says Morgan Stanley has been using modern data science, AI, and machine learning for years to analyze data and activity, pinpoint risks, and initiate mitigation, noting that teams at the firm have earned patents in this space. CIOs are an ambitious lot. Heres what they resolve to do in the upcoming 12 months.

article thumbnail

When is data too clean to be useful for enterprise AI?

CIO

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Data 211
article thumbnail

Predibase exits stealth with a low-code platform for building AI models

TechCrunch

-based companies, 44% said that they’ve not hired enough, were too siloed off to be effective and haven’t been given clear roles. “The major challenges we see today in the industry are that machine learning projects tend to have elongated time-to-value and very low access across an organization.

article thumbnail

CIOs are rethinking how they use public cloud services. Here’s why.

CIO

Over the past few years, enterprises have strived to move as much as possible as quickly as possible to the public cloud to minimize CapEx and save money. Increasingly, however, CIOs are reviewing and rationalizing those investments. Are they truly enhancing productivity and reducing costs? We see this more as a trend, he says.

Cloud 209
article thumbnail

Black Box Machine Learning in the Cloud

Erik Bernhardsson

There’s a bunch of companies working on machine learning as a service. Instead of the negative let’s go through the ways I think a machine learning API can actually be useful (ok full disclosure: I don’t think it’s very many). Focusing on a particular niche makes it easier to build something that works off the shelf.