AWS Machine Learning - AI

APRIL 16, 2024

Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. They then use SQL to explore, analyze, visualize, and integrate data from various sources before using it in their ML training and inference.

Artificial Inteligence 86

Artificial Inteligence AWS Data Generative AI 86

Sunflower Lab

FEBRUARY 8, 2024

These applications may be different in their training needs or working. In the area of customer care communications, IT Helpdesk chatbots stand out—they address queries with predetermined inputs without the need for learning or remembering past interactions.

Artificial Inteligence 52

Artificial Inteligence Real Estate Artificial Intelligence Healthcare 52

IDC

SEPTEMBER 11, 2019

AI covers a wide range of applications, including natural language processing, machine learning, image/video analytics, and deep learning, among others. However, there are still major challenges to AI adoption; in fact, cost of the solution and lack of skilled resources are cited as the top inhibitors of adopting AI.

Artificial Inteligence 9

Artificial Inteligence Artificial Intelligence Organization Off-The-Shelf 9

Altexsoft

APRIL 13, 2023

“Control towers are the artificial intelligence (AI) of supply chain. Everyone wants to have it, but nobody quite knows how it works.” Christian Titze, vice president analyst at Gartner. Source: Supply Chain Dive Over the last few years, global supply chains have been so severely disrupted – but also enhanced with cutting-edge technologies.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

O'Reilly Media - Data

MARCH 22, 2018

Over the years, machine learning (ML) has come a long way, from its existence as experimental research in a purely academic setting to wide industry adoption as a means for automating solutions to real-world problems. There is also a trade off in balancing a model’s interpretability and its performance.

Off-The-Shelf 115

Off-The-Shelf Machine Learning Artificial Inteligence Weak Development Team 115

O'Reilly Media - Ideas

OCTOBER 13, 2020

Similarly, in “ Building Machine Learning Powered Applications: Going from Idea to Product ,” Emmanuel Ameisen states: “Indeed, exposing a model to users in production comes with a set of challenges that mirrors the ones that come with debugging a model.”. The field of AI product management continues to gain momentum.

Product Management 109

Product Management Artificial Inteligence UI/UX Off-The-Shelf 109

Netflix Tech

DECEMBER 3, 2019

About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?” Our job as a Machine Learning Infrastructure team would therefore not be mainly about enabling new technical feats.

Open Source 92

Open Source Data Machine Learning Artificial Inteligence 92

O'Reilly Media - Ideas

OCTOBER 19, 2021

Much has been written about struggles of deploying machine learning projects to production. This approach has worked well for software development, so it is reasonable to assume that it could address struggles related to deploying machine learning in production too. The new category is often called MLOps.

DevOps 143

DevOps Data Software Review Technical Advisors 143

Gorilla Logic

OCTOBER 14, 2022

Organizations have several options to acquire software, including off-the-shelf or commercial, SaaS and custom. Off-the-shelf and SaaS options make it simple and fast to install and implement technology that delivers business results. . With software, companies are upending industries and displacing even large incumbents.

Software Development 52

Software Development Weak Development Team Software UI/UX 52

Altexsoft

APRIL 1, 2021

A 2020 US Emerging Jobs report by LinkedIn states one interesting fact: “ Careers in Robotics Engineering can vary greatly between software and hardware roles, and our data shows engineers working on both virtual and physical bots are on the rise.” — as written in the Robotics Engineering section. What is Robotic Process Automation in a nutshell.

Development 111

Development Technical Review Software Review Artificial Inteligence 111

Netflix Tech

DECEMBER 3, 2019

About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?” Our job as a Machine Learning Infrastructure team would therefore not be mainly about enabling new technical feats.

Open Source 53

Open Source Data Machine Learning Artificial Inteligence 53

Altexsoft

JULY 19, 2019

However, it only starts gaining real power with the help of artificial intelligence (AI) and machine learning (ML). The key element of any bot in robotic automation is that they are able to work only within a user interface (UI) , not with the machine (or system) itself. What is standard Robotic Process Automation?

Artificial Inteligence 78

Artificial Inteligence Artificial Intelligence Analysis Technology 78

Altexsoft

JULY 22, 2022

The recent Royal Bank of Canada (RBC) overview of global supply chains explicitly displays how bad port congestion currently is – and how it keeps getting worse. The study states that one-fifth of the global container ship fleet is stuck at various major ports. The ports of Los Angeles and New York are not far behind. Main terminal challenges.

Operating System 52

Operating System Systems Review System Technical Review 52

Altexsoft

FEBRUARY 8, 2021

To support the planning process, predictive analytics and machine learning (ML) techniques can be implemented. We have previously described demand forecasting methods and the role of machine learning solutions in a dedicated article. Managing a supply chain involves organizing and controlling numerous processes.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

NOVEMBER 3, 2020

The next decade will see an impressive rise of remote patient monitoring (RPM) devices, at a growth rate of 12.5 percent annually. The trend is quite predictable, considering the cumulative effect of the aging population, the high cost of in-patient care, and enormous pressure on hospitals put by COVID-19. What is remote patient monitoring?

System 111

System Healthcare Mobile Education 111

TechCrunch

SEPTEMBER 22, 2021

technology, machine learning, hardware, software — and yes, lasers! Founded by a team whose backgrounds include physics, stem cell biology, and machine learning, Cellino operates in the regenerative medicine industry. — could eventually democratize access to cell therapies.

Machine Learning 220

Machine Learning Artificial Inteligence Off-The-Shelf Biotech 220

Altexsoft

MAY 20, 2022

A few years ago, Joe DeNardi, a Stifel analyst, published a sensational report that contained estimated values of some of the biggest US airlines’ loyalty programs. According to it, American Airlines’ AAdvantage was worth $37.6 billion, Delta’s Skymiles was estimated at $33.1 billion, United’s MileagePlus – $28.7 billion, and so on.

Airlines 52

Airlines Programming Technical Review Technology 52

Confluent

SEPTEMBER 25, 2019

It’s also a unifying idea behind the larger set of technology trends we see today, such as machine learning, IoT, ubiquitous mobile connectivity, SaaS, and cloud computing. In 2011, Marc Andressen wrote an article called Why Software is Eating the World. The central idea is that any process that can be moved into software, will be.

Company 56

Company Software Retail Banking 56

Altexsoft

OCTOBER 17, 2019

Data is the lifeblood of an organization and its commercial success. You probably heard these words from a conference lecturer or saw similar headlines online. In the first case, that’s accurate order details that you need. In the second case, you must segment customers based on their activity and interests.To Source: Skyscanner Facebook.

Tools 16

Tools Data Technical Advisors Technical Review 16

Altexsoft

JULY 8, 2021

To help companies unlock the full potential of personalized marketing, propensity models should use the power of machine learning technologies. This post is going to shed light on propensity modeling and the role of machine learning in making it an efficient predictive tool. What is a propensity model?

Artificial Inteligence 78

Artificial Inteligence Machine Learning How To Airlines 78