article thumbnail

5 machine learning essentials nontechnical leaders need to understand

TechCrunch

We’re living in a phenomenal moment for machine learning (ML), what Sonali Sambhus , head of developer and ML platform at Square, describes as “the democratization of ML.” Snehal Kundalkar is the chief technology officer at Valence. She has been leading Silicon Valley firms for the last two decades, including work at Apple and Reddit.

article thumbnail

Leveraging AMPs for machine learning

CIO

The problem is that it’s not always clear how to strike a balance between speed and caution when it comes to adopting cutting-edge AI. Data scientists and AI engineers have so many variables to consider across the machine learning (ML) lifecycle to prevent models from degrading over time.

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

Stability AI backs effort to bring machine learning to biomed

TechCrunch

Called OpenBioML , the endeavor’s first projects will focus on machine learning-based approaches to DNA sequencing, protein folding and computational biochemistry. Stability AI’s ethically questionable decisions to date aside, machine learning in medicine is a minefield. Predicting protein structures.

article thumbnail

Introducing Accelerator for Machine Learning (ML) Projects: Summarization with Gemini from Vertex AI

Cloudera

Were thrilled to announce the release of a new Cloudera Accelerator for Machine Learning (ML) Projects (AMP): Summarization with Gemini from Vertex AI . The post Introducing Accelerator for Machine Learning (ML) Projects: Summarization with Gemini from Vertex AI appeared first on Cloudera Blog.

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. Download the report to find out: How enterprises in various industries are using MLOps capabilities.

article thumbnail

How to know a business process is ripe for agentic AI

CIO

We are fast tracking those use cases where we can go beyond traditional machine learning to acting autonomously to complete tasks and make decisions. Steps that are highly repetitive and follow well-defined rules are prime candidates for agentic AI, Kelker says.

How To 191
article thumbnail

Are you ready for MLOps? 🫵

Xebia

In short, being ready for MLOps means you understand: Why adopt MLOps What MLOps is When adopt MLOps … only then can you start thinking about how to adopt MLOps. Both the tech and the skills are there: Machine Learning technology is by now easy to use and widely available. How to solve this? Enter MLOps.

article thumbnail

Trusted AI 102: A Guide to Building Fair and Unbiased AI Systems

Download this guide to find out: How to build an end-to-end process of identifying, investigating, and mitigating bias in AI. How to choose the appropriate fairness and bias metrics to prioritize for your machine learning models. Are you ready to deliver fair, unbiased, and trustworthy AI?

article thumbnail

Data Science Fails: Building AI You Can Trust

The game-changing potential of artificial intelligence (AI) and machine learning is well-documented. Download the report to gain insights including: How to watch for bias in AI. How human errors like typos can influence AI findings. Why your organization’s values should be built into your AI.

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. But rapid change, vendor churn, hype and jargon make it increasingly difficult to choose an AI vendor.

article thumbnail

The New Tech Experience: Innovation, Optimization, and Collaboration

Speaker: Paul Weald, Contact Center Innovator

Learn how to streamline productivity and efficiency across your organization with machine learning and artificial intelligence! How you can leverage innovations in technology and machine learning to improve your customer experience and bottom line.

article thumbnail

How AI and ML Can Accelerate and Optimize Software Development and Testing

Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software

In this session, Eran Kinsbruner will cover recommended areas where artificial intelligence and machine learning can be leveraged. This includes how to: Obtain an overview of existing AI/ML technologies throughout the DevOps pipeline across categories. Realize the value of each of these technologies across DevOps categories.