IBM Journey to AI blog

MAY 8, 2024

Using structured methodologies such as the IBM® SAP Value Continuum augments this assurance significantly. Comparison and enrichment: Compare to industry best practices. It is important to structure the engagement journey with periodic assessments, clear milestones and ongoing feedback to ensure the transformation stays on track.

Automation 232

Automation Generative AI Data Mining AI 232

Unite.AI

APRIL 30, 2024

It’s a dynamic and evolving industry, so each day brings something new and exciting. Many of our products house similar types of data, so my job is to find ways to break those silos down and make it easier for our customers, both hospitals and health systems, to access the data.

LLM 147

LLM Large Language Models ML Artificial Intelligence 147

AWS Machine Learning Blog

NOVEMBER 16, 2023

Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. Customer context Philips uses AI in various domains, such as imaging, diagnostics, therapy, personal health, and connected care.

Data Scientist 91

Data Scientist ML Data Science Automation 91

Unite.AI

SEPTEMBER 8, 2023

If I left to start my own company, without a product, technology, funding, customers — who was going to see me then? The LeanTaaS journey began in 2010 with an industry-agnostic approach. We are continually listening to our customers and innovating based on their specific needs and advancements in AI.

Machine Learning 277

Machine Learning Automation Algorithm Explainability 277

The MLOps Blog

MARCH 15, 2023

The primary goal of this system was to detect potential fraud early and accurately, reducing the financial impact of fraudulent claims on the insurance company and its customers. Since its inception, it has become one of the most widely used version control systems in the software industry. But the work doesn’t really stop there.

ETL 52

ETL Data Drift Machine Learning ML 52

The MLOps Blog

JANUARY 23, 2023

I lead the product and see what users, customers, and other vendors in this corner of the market do. Most of our customers are doing ML/MLOps at a reasonable scale, NOT at the hyperscale of big-tech FAANG companies. We’ve spent thousands of hours talking to users/customers/prospects about this stuff. Model registry.

DevOps 59

DevOps Metadata Software Engineer Data Scientist 59

Unite.AI

DECEMBER 5, 2023

Prior to founding Anaconda (formerly Continuum Analytics), Peter spent 15 years in software design and development across a broad range of areas, including 3D graphics, geophysics, large data simulation and visualization, financial risk modeling, and medical imaging. Peter Wang is the CEO and co-founder of Anaconda.

Python 264

Python Data Science Data Scientist Data Analysis 264