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

Slack’s former head of machine learning wants to put AI in reach of every company

TechCrunch

Adam Oliner, co-founder and CEO of Graft used to run machine learning at Slack, where he helped build the company’s internal artificial intelligence infrastructure. Last year he decided to leave Slack and go out on his own and started Graft to solve the problem for many companies. he said. “The

Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

CatalyzeX grabs $1.64M seed to help developers find right machine learning model

TechCrunch

Machine learning is exploding, and so are the number of models out there for developers to choose from. The company co-founders, brothers Gaurav Ragtah and Himanshu Ragtah, saw that there was so much research being done and wanted to build a tool to make it easier for developers to find the most applicable models for their use case.

article thumbnail

Hugging Face reaches $2 billion valuation to build the GitHub of machine learning

TechCrunch

Lux Capital is leading the round, with Sequoia and Coatue investing in the company for the first time. When I first covered the company in 2017, the startup was focused on a consumer app. That consumer bet hasn’t paid off, but the company kept iterating on its natural language processing technology.

article thumbnail

Intelligent Process Automation: Boosting Bots with AI and Machine Learning

Across all sectors, companies are learning that they can transform their businesses by embracing Intelligent Process Automation, or IPA. In Data Robot's new ebook, Intelligent Process Automation: Boosting Bots with AI and Machine Learning, we cover important issues related to IPA, including: What is RPA? What is AI?

article thumbnail

Leveraging AMPs for machine learning

CIO

As a result, many companies are now more exposed to security vulnerabilities, legal risks, and potential downstream costs. Explainability is also still a serious issue in AI, and companies are overwhelmed by the volume and variety of data they must manage. For more on Cloudera’s AMPs, click here.

article thumbnail

The key to operational AI: Modern data architecture

CIO

For companies investing in data science, realizing the return on these investments requires embedding AI deeply into business processes. As a result, ​developers — regardless of their expertise in machine learning — will be able to develop and optimize business-ready large language models (LLMs).

article thumbnail

The Business Value of MLOps

As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models. It is based on interviews with MLOps user companies and several MLOps experts. Which organizational challenges affect MLOps implementations.

article thumbnail

5 Things a Data Scientist Can Do to Stay Current

And more is being asked of data scientists as companies look to implement artificial intelligence (AI) and machine learning technologies into key operations. Fostering collaboration between DevOps and machine learning operations (MLOps) teams. Sharing data with trusted partners and suppliers to ensure top value.

article thumbnail

Build Trustworthy AI With MLOps

In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale.

article thumbnail

How to Choose an AI Vendor

You know you want to invest in artificial intelligence (AI) and machine learning to take full advantage of the wealth of available data at your fingertips. Real-world best practices for getting company buy-in, vendor selection, and tracking progress. The five key things to consider when looking for an AI vendor.

article thumbnail

Data Science Fails: Building AI You Can Trust

The game-changing potential of artificial intelligence (AI) and machine learning is well-documented. Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology.

article thumbnail

Realizing the Benefits of Automated Machine Learning

While everyone is talking about machine learning and artificial intelligence (AI), how are organizations actually using this technology to derive business value? Renowned author and professor Tom Davenport conducted an in-depth study (sponsored by DataRobot) on how organizations have become AI-driven using automated machine learning.

article thumbnail

Future Focus: Constructing Unshakeable Stability in Your Manufacturing Supply Chain

Speaker: Jay Black, Senior Account Executive

We’ve all heard the buzzwords to describe new supply chain trends: resiliency, sustainability, AI, machine learning. But what do these really mean today? Over the past few years, manufacturing has had to adapt to and overcome a wide variety of supply chain trends and disruptions to stay as stable as possible.