CIO

DECEMBER 20, 2022

However, legacy methods of running Epic on-premises present a significant operational burden for healthcare providers. Furthermore, supporting Epic Honor Roll requirements, purchasing cycles, and disaster recovery places heavy demands on staff time, and recruiting, training, and retaining IT professionals can prove difficult.

Healthcare 202

Healthcare Disaster Recovery Organization Artificial Inteligence 202

TechCrunch

NOVEMBER 28, 2022

It’s only as good as the models and data used to train it, so there is a need for sourcing and ingesting ever-larger data troves. But annotating and manipulating that training data takes a lot of time and money, slowing down the work or overall effectiveness, and maybe both. V7 even lays out how the two services compare.)

Training 240

Training Data Technical Review Artificial Inteligence 240

Altexsoft

JULY 23, 2020

When speaking of machine learning, we typically discuss data preparation or model building. The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Perficient

NOVEMBER 1, 2024

Fast forward to today, and AI in healthcare is rapidly transforming how we diagnose, treat, and care for patients. From intelligent algorithms diagnosing diseases faster than the human eye, to virtual health assistants providing round-the-clock support, AI is revolutionizing the healthcare industry.

Healthcare 52

Healthcare Artificial Inteligence Artificial Intelligence Training 52

CIO

APRIL 1, 2025

Job titles like data engineer, machine learning engineer, and AI product manager have supplanted traditional software developers near the top of the heap as companies rush to adopt AI and cybersecurity professionals remain in high demand. Coding assistants are increasing developer productivity levels but not replacing them, he says.

Marketing 152

Marketing Software Development Software Development 152

AWS Machine Learning - AI

OCTOBER 17, 2024

With the advent of generative AI and machine learning, new opportunities for enhancement became available for different industries and processes. AWS HealthScribe combines speech recognition and generative AI trained specifically for healthcare documentation to accelerate clinical documentation and enhance the consultation experience.

AWS 113

AWS Artificial Inteligence Generative AI Machine Learning 113

TechCrunch

JANUARY 19, 2021

K Health , the virtual healthcare provider that uses machine learning to lower the cost of care by providing the bulk of the company’s health assessments, is launching new tools for childcare on the heels of raising cash that values the company at $1.5

Virtualization 232

Virtualization Healthcare Pharmaceuticals Machine Learning 232

CIO

JANUARY 13, 2025

Generative AI, when combined with predictive modeling and machine learning, can unlock higher-order value creation beyond productivity and efficiency, including accretive revenue and customer engagement, Collins says. CIOs must do a better job preparing and supporting employees, Jandron states.

Technical Advisors 210

Technical Advisors Disaster Recovery Generative AI Innovation 210

CIO

APRIL 2, 2025

The spectrum is broad, ranging from process automation using machine learning models to setting up chatbots and performing complex analyses using deep learning methods. Whether healthcare, retail or financial services each industry presents its own challenges that require specific expertise and customized AI solutions.

Artificial Inteligence 120

Artificial Inteligence Technical Advisors Artificial Intelligence Automotive 120

AWS Machine Learning - AI

MARCH 18, 2025

In the rapidly evolving healthcare landscape, patients often find themselves navigating a maze of complex medical information, seeking answers to their questions and concerns. This solution can transform the patient education experience, empowering individuals to make informed decisions about their healthcare journey.

Artificial Inteligence 113

Artificial Inteligence Technical Review Healthcare Systems Review 113

TechCrunch

AUGUST 24, 2021

Israel-based AI healthtech company, DiA Imaging Analysis , which is using deep learning and machine learning to automate analysis of ultrasound scans, has closed a $14 million Series B round of funding. “Our technology is vendor neutral and cross-platform therefore runs on any ultrasound device or healthcare IT systems.

Analysis 246

Analysis Artificial Inteligence Healthcare Artificial Intelligence 246

TechCrunch

AUGUST 13, 2021

Shrivastava, who has a mathematics background, was always interested in artificial intelligence and machine learning, especially rethinking how AI could be developed in a more efficient manner. It was when he was at Rice University that he looked into how to make that work for deep learning.

Hardware 277

Hardware Artificial Inteligence Artificial Intelligence Machine Learning 277

John Snow Labs

APRIL 29, 2025

What was once a preparatory task for training AI is now a core part of a continuous feedback and improvement cycle. Training compact, domain-specialized models that outperform general-purpose LLMs in areas like healthcare, legal, finance, and beyond. Todays annotation tools are no longer just for labeling datasets.

Artificial Inteligence 52

Artificial Inteligence Training Tools Generative AI 52

AWS Machine Learning - AI

MARCH 3, 2025

Tuning model architecture requires technical expertise, training and fine-tuning parameters, and managing distributed training infrastructure, among others. Its a familiar NeMo-style launcher with which you can choose a recipe and run it on your infrastructure of choice (SageMaker HyperPod or training). recipes=recipe-name.

Artificial Inteligence 100

Artificial Inteligence Generative AI AWS Training 100

TechCrunch

MAY 10, 2022

“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. “Given these challenges, organizations today need to choose between two flawed approaches when it comes to developing machine learning. .

Artificial Inteligence 235

Artificial Inteligence Machine Learning Off-The-Shelf Training 235

TechCrunch

FEBRUARY 9, 2021

DataFleets saw the increasing need for sensitive data like medical or financial records to be analyzed or used to train machine learning models. Not for the sensitive data itself, but for the systems of analysis and machine learning models that the client wanted to set loose on the data.

Data 246

Data Machine Learning Artificial Inteligence Healthcare 246

N2Growth Blog

NOVEMBER 13, 2024

AI and machine learning enable recruiters to make data-driven decisions. Information on employee benefits, such as healthcare, retirement plans, and work-life balance initiatives, can also be compelling. Leveraging Technology for Smarter Hiring Embracing technology is imperative for optimizing talent acquisition strategies.

Strategy 163

Strategy Marketing Recruiting Technical Review 163

AWS Machine Learning - AI

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. The TAT-QA dataset has been divided into train (28,832 rows), dev (3,632 rows), and test (3,572 rows).

Artificial Inteligence 97

Artificial Inteligence Generative AI Training Metrics 97

AWS Machine Learning - AI

APRIL 10, 2025

Demystifying RAG and model customization RAG is a technique to enhance the capability of pre-trained models by allowing the model access to external domain-specific data sources. Unlike fine-tuning, in RAG, the model doesnt undergo any training and the model weights arent updated to learn the domain knowledge.

Case Study 124

Case Study Artificial Inteligence Study Generative AI 124

CIO

APRIL 15, 2022

And 20% of IT leaders say machine learning/artificial intelligence will drive the most IT investment. Insights gained from analytics and actions driven by machine learning algorithms can give organizations a competitive advantage, but mistakes can be costly in terms of reputation, revenue, or even lives.

Analytics 218

Analytics Artificial Inteligence Machine Learning Systems Review 218

TechCrunch

OCTOBER 27, 2020

To enable this, the company built an end-to-end solution that allows engineers to bring in their pre-trained models and then have Deci manage, benchmark and optimize them before they package them up for deployment. Using its runtime container or Edge SDK, Deci users can also then serve those models on virtually any modern platform and cloud.

Artificial Inteligence 270

Artificial Inteligence Artificial Intelligence Machine Learning Healthcare 270

Altexsoft

MAY 12, 2022

Today, we have AI and machine learning to extract insights, inaudible to human beings, from speech, voices, snoring, music, industrial and traffic noise, and other types of acoustic signals. In this article, we’ll share what we’ve learnt when creating an AI-based sound recognition solutions for healthcare projects.

Machine Learning 122

Machine Learning Artificial Inteligence Analysis Energy 122

Invid Group

MARCH 19, 2024

What Is Machine Learning Used For? By INVID With the rise of AI, the term “machine learning” has grown increasingly common in today’s digitally driven world, where it is frequently credited with being the impetus behind many technical breakthroughs. Let’s break it down. Take retail, for instance.

Artificial Inteligence 98

Artificial Inteligence Machine Learning Technical Review Artificial Intelligence 98

TechCrunch

APRIL 20, 2021

. “We have really focused our efforts on encrypted learning, which is really the core technology, which was fundamental to allowing the multi-party compute capabilities between two organizations or two departments to work and build machine learning models on encrypted data,” Wijesinghe told me.

Company 241

Company Data Machine Learning Artificial Inteligence 241

TechCrunch

NOVEMBER 9, 2020

A number of healthcare disparities exist for Black people in America, but they can oftentimes go unaddressed due to the lack of education and understanding among medical professionals. Spora Health , which launches today for patients in Virginia, Tennessee, Pennsylvania and Florida, aims to fix that. Image Credits: Spora Health. .

Technical Review 257

Technical Review Network Healthcare Systems Review 257

Openxcell

MARCH 23, 2023

But with technological progress, machines also evolved their competency to learn from experiences. This buzz about Artificial Intelligence and Machine Learning must have amused an average person. But knowingly or unknowingly, directly or indirectly, we are using Machine Learning in our real lives.

Artificial Inteligence 98

Artificial Inteligence Machine Learning Examples Artificial Intelligence 98

TechCrunch

AUGUST 20, 2021

Cardiomatics touts its tech as helping to democratize access to healthcare — saying the tool enables cardiologists to optimise their workflow so they can see and treat more patients. “Ninety percent of the data is used as a training set, and 10% for algorithm validation and testing.

Artificial Inteligence 294

Artificial Inteligence Artificial Intelligence Healthcare Analysis 294

TechCrunch

DECEMBER 15, 2022

Protect AI claims to be one of the few security companies focused entirely on developing tools to defend AI systems and machine learning models from exploits. “We have researched and uncovered unique exploits and provide tools to reduce risk inherent in [machine learning] pipelines.”

Machine Learning 223

Machine Learning Artificial Inteligence Software Review Systems Review 223

TechCrunch

JANUARY 26, 2021

Traditionally, it was always hard to virtualize GPUs, so even as demand for training AI models has increased, a lot of the physical GPUs often set idle for long periods because it was hard to dynamically allocate them between projects. raises $13M for its distributed machine learning platform. Image Credits: Run.AI. .”

Automotive 254

Automotive Artificial Inteligence Virtualization Hardware 254

AWS Machine Learning - AI

NOVEMBER 13, 2024

Exclusive to Amazon Bedrock, the Amazon Titan family of models incorporates 25 years of experience innovating with AI and machine learning at Amazon. For this tutorial, you will concentrate on the loafers folder found in the training category folder. download_file(BUCKET_NAME, "training/loafers/"+file_name[0], local_path) s3.download_file(BUCKET_NAME,

AWS 115

AWS Engineering Serverless eCommerce 115

CIO

MARCH 31, 2025

There are two main considerations associated with the fundamentals of sovereign AI: 1) Control of the algorithms and the data on the basis of which the AI is trained and developed; and 2) the sovereignty of the infrastructure on which the AI resides and operates.

Technical Review 117

Technical Review Artificial Inteligence Compliance Open Source 117

TechCrunch

SEPTEMBER 12, 2022

In 2017, three entrepreneurs — Chris Hazard, Mike Resnick and Mike Capps — came together to launch a platform for building AI and machine learning tools geared toward the enterprise. Training on synthetic data has its downsides , it’s worth noting.)

Artificial Inteligence 206

Artificial Inteligence Machine Learning Training Games 206

AWS Machine Learning - AI

MARCH 20, 2025

It often requires managing multiple machine learning (ML) models, designing complex workflows, and integrating diverse data sources into production-ready formats. Financial institutions use IDP to automate tax forms and fraud detection , while healthcare providers streamline claims processing and medical record digitization.

Data 117

Data Generative AI Artificial Inteligence Compliance 117

TechCrunch

MARCH 15, 2021

million, funding that Xabi Uribe-Etxebarria, Sherpa’s founder and CEO, said it will be using to continue building out a privacy-focused machine learning platform based on a federated learning model alongside its existing conversational AI and search services. The company has closed $8.5

B2B 252

B2B Artificial Inteligence Machine Learning Open Source 252

AWS Machine Learning - AI

APRIL 16, 2025

Similarly, organizations are fine-tuning generative AI models for domains such as finance, sales, marketing, travel, IT, human resources (HR), procurement, healthcare and life sciences, and customer service. These models are tailored to perform specialized tasks within specific domains or micro-domains.

Artificial Inteligence 104

Artificial Inteligence Generative AI AWS Storage 104

TechCrunch

NOVEMBER 22, 2022

But researchers need much of their initial time preparing data for training AI systems. The training process also requires hundreds of annotated medical images and thousands of hours of annotation by clinicians. “We see ourselves building the foundational layer of artificial intelligence in healthcare.

Artificial Inteligence 234

Artificial Inteligence Artificial Intelligence Biotech 3D 234

CIO

OCTOBER 18, 2023

German healthcare company Fresenius Medical Care, which specializes in providing kidney dialysis services, is using a combination of near real-time IoT data and clinical data to predict one of the most common complications of the procedure. CIO 100, Digital Transformation, Healthcare Industry, Predictive Analytics

Artificial Inteligence 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200