IBM Journey to AI blog

JULY 19, 2023

Yet, it is burdened by long R&D cycles and labor-intensive clinical, manufacturing and compliancy regimens. Yet, it is burdened by long R&D cycles and labor-intensive clinical, manufacturing and compliancy regimens. This digital data is coming at the industry in various formats, like unstructured text, images, PDFs and emails.

AWS 66

AWS AI AI Machine Learning 66

PyImageSearch

JANUARY 2, 2023

It is estimated that over $140 billion is required annually to meet the health-related sustainable development goal objectives. This blog will cover the benefits, applications, challenges, and tradeoffs of using deep learning in healthcare. Figure 1: Global Funding in Health Tech Companies (source: Mrazek and O’Neill, 2020 ).

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Heartbeat

JANUARY 29, 2024

At its core, Meta-Learning equips algorithms with the aptitude to quickly grasp new tasks and domains based on past experiences, paving the way for unparalleled problem-solving skills and generalization abilities. Meta-Learning takes a holistic approach by training models on diverse tasks and datasets based on data assumptions.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Algorithm 52

AWS Machine Learning Blog

MAY 8, 2024

In 2022, Dialog Axiata made significant progress in their digital transformation efforts, with AWS playing a key role in this journey. Multiple mobile operators provide similar services, making it easy for customers to switch between providers. million subscribers, which amounts to 57% of the Sri Lankan mobile market.

ML 91

ML ML AWS AI 91

Hacker News

FEBRUARY 24, 2024

The DMA requires Apple to open the iPhone to competing app stores, and and its lopsided proposal for "enabling" them is getting most of the press. The DMA requires Apple to open the iPhone to competing app stores, and and its lopsided proposal for "enabling" them is getting most of the press. The view from Cupertino.

173

173

AWS Machine Learning Blog

SEPTEMBER 14, 2023

Unstructured data accounts for 80% of all the data found within organizations, consisting of repositories of manuals, PDFs, FAQs, emails, and other documents that grows daily. Businesses today rely on continuously growing repositories of internal information, and problems arise when the amount of unstructured data becomes unmanageable.

AWS 97

AWS AI AI Data Silos 97

IBM Journey to AI blog

DECEMBER 7, 2023

Building point-to-point integrations manually is time consuming, inefficient and costly; andorganizations need a better way to consume and share data, as well as a more flexible and agile way to add new features and solutions. It’s therefore no surprise that API adoption has skyrocketed in recent years.

Data Silos 80

Data Silos 80

AWS Machine Learning Blog

AUGUST 31, 2023

However, since these ML models are making critical business decisions for the business, it’s important for enterprises to add proper guardrails throughout their ML lifecycle. Guardrails ensure that security, privacy, and quality of the code, configuration, and data and model configuration used in model lifecycle are versioned and preserved.

AWS 94

AWS ML ML Data Scientist 94

O'Reilly Media

NOVEMBER 28, 2023

Executive Summary We’ve never seen a technology adopted as fast as generative AI—it’s hard to believe that ChatGPT is barely a year old. AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. 54% of AI users expect AI’s biggest benefit will be greater productivity.

AI 108

AI AI Data Analysis Data Analysis 108

AWS Machine Learning Blog

JANUARY 13, 2023

This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. Because they are in a highly regulated domain, HCLS partners and customers seek privacy-preserving mechanisms to manage and analyze large-scale, distributed, and sensitive data. In the first post, we described FL concepts and the FedML framework.

AWS 74

AWS Analytics Analytics Machine Learning 74

AWS Machine Learning Blog

AUGUST 31, 2023

However, since these ML models are making critical business decisions for the business, it’s important for enterprises to add proper guardrails throughout their ML lifecycle. Guardrails ensure that security, privacy, and quality of the code, configuration, and data and model configuration used in model lifecycle are versioned and preserved.

AWS 52

AWS ML ML Data Scientist 52

Snorkel AI

MARCH 1, 2023

Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. When a task exceeds a foundation model’s capabilities, it can return an incorrect and fabricated “ hallucination ” that appears as plausible as a correct response. it will select a variation of “is.”

Natural Language Processing 83

Natural Language Processing Supervised Learning Machine Learning Machine Learning 83

AWS Machine Learning Blog

JANUARY 13, 2023

This blog post is co-written with Chaoyang He and Salman Avestimehr from FedML. Because they’re in a highly regulated domain, HCLS partners and customers seek privacy-preserving mechanisms to manage and analyze large-scale, distributed, and sensitive data. Deploying an FL framework on the cloud has several challenges.

AWS 71

AWS Analytics Analytics Machine Learning 71

Alation

OCTOBER 19, 2022

In September, BARC named Alation a leader in the BARC Score Data Intelligence Platforms Report due to our strong product strategy, roadmap, and powerful collaborative features. Today, they have issued The Data Management Survey 23 , a report based on a survey of more than 1,200 data management end-users of 23 products (or groups of products).

Data Governance 52

Data Governance Data Quality Data Lakes Data Observability 52

phData

NOVEMBER 9, 2023

This blog was originally written by Keith Smith and updated for 2024 by Justin Delisi. Snowflake’s Data Cloud has emerged as a leader in cloud data warehousing. What is the Snowflake Data Cloud? What Components Make up the Snowflake Data Cloud?

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

The MLOps Blog

MARCH 21, 2023

From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot. As the number of ML-powered apps and services grows, it gets overwhelming for data scientists and ML engineers to build and deploy models at scale.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69