CIO

MARCH 13, 2024

L’analisi dei dati attraverso l’apprendimento automatico (machine learning, deep learning, reti neurali) è la tecnologia maggiormente utilizzata dalle grandi imprese che utilizzano l’IA (51,9%). Le reti neurali sono il modello di machine learning più utilizzato oggi.

Artificial Inteligence 259

Artificial Inteligence Machine Learning Software Review CTO Coach 259

CIO

SEPTEMBER 12, 2022

Collectively, the agencies also have pilots up and running to test electric buses and IoT sensors scattered throughout the transportation system. NJ Transit’s digital infrastructure has come a long way since Lookman Fazal took the top tech post more than three years ago. We have shown out value,” Fazal says of the transformation. “We

Data Engineering 287

Data Engineering Engineering Data Transportation 287

CIO

JULY 21, 2023

Traditional methods of soliciting this feedback, such as focus groups and beta testing programs, apart from being expensive, often result in poor results. As SaaS solutions gain greater market share, and build mindshare, operational know-how is becoming critical to both their development and evolution.

Technical Review 242

Technical Review Weak Development Team Transportation Development 242

Infinidat

MAY 4, 2021

Deep Learning Myths, Lies, and Videotape - Part 2: Balderdash! In Part 1 of this blog post , we discussed the history and definitions of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL), as well as Infinidat’s use of true Deep Learning in our Neural Cache software. Adriana Andronescu.

Artificial Inteligence 98

Artificial Inteligence Off-The-Shelf Storage Machine Learning 98

CIO

JULY 14, 2023

In the shaper model, you’re leveraging existing foundational models, off the shelf, but retraining them with your own data.” Whether it’s text, images, video or, more likely, a combination of multiple models and services, taking advantage of generative AI is a ‘when, not if’ question for organizations.

Generative AI 234

Generative AI Artificial Inteligence Open Source ChatGPT 234

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

Capgemini

NOVEMBER 16, 2023

Areas 4-6 require broad industry collaboration to create the common standards, architecture and models that will be critical for test and automation. Currently, there are three major gaps: An open approach to testing that spans all of the domains. That changes with vRAN. Cloud-native edge compute (MEC). A 5G standalone (SA) core.

Industry 52

Industry Cloud Off-The-Shelf Network 52

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 113

Off-The-Shelf Machine Learning Artificial Inteligence Weak Development Team 113

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 111

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

O'Reilly Media - Ideas

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). A lot to learn, but worthwhile to access the unique and special value AI can create in the product space. Why AI software development is different.

Product Management 139

Product Management Artificial Inteligence Machine Learning Software Review 139

TechCrunch

MARCH 22, 2022

Smartphone cameras have gotten quite good, but it’s getting harder and harder to improve them because we’ve pretty much reached the limit of what’s possible in the space of a cubic centimeter. It may not be obvious that cameras won’t get better, since we’ve seen such advances in recent generations of phones.

Film 246

Film Technical Review Systems Review Weak Development Team 246

Cloudera

JULY 24, 2023

As a result, the platform development team needs to test many different combinations to ultimately identify the right major / minor version of each project that properly integrates with the rest of the custom distribution. data engineering pipelines, machine learning models). data engineering pipelines, machine learning models).

Open Source 66

Open Source Analytics Software Review Metrics 66

Altexsoft

MAY 27, 2022

This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations. Length of stay calculation for hospitals: how machine learning can enhance results. Today, we can employ AI technologies to predict the date of discharge. days in 1960 to just 5.4

How To 98

How To Healthcare Machine Learning Artificial Inteligence 98

Cloudera

SEPTEMBER 21, 2021

Using provider operators that are tested by a community of users reduces the overhead of writing and maintaining custom code in bash or python, and simplifies the DAG configuration as well. Airflow users can avoid writing custom code to connect to a new system, but simply use the off-the-shelf providers. airflow db init.

Off-The-Shelf 97

Off-The-Shelf Data Engineering Virtualization Cloud 97

Altexsoft

JULY 14, 2021

To learn more, check the article on common HIPAA violations to be aware of. Imaging and test results. X-rays images, CT scans, MRI, and other test results performed in the lab carry the patient’s name and diagnosis. BAs include cloud service providers, billing companies, data storage, firms, and attorneys.

Off-The-Shelf 59

Off-The-Shelf Machine Learning Artificial Inteligence Healthcare 59

O'Reilly Media - Ideas

MARCH 7, 2019

Language understanding benefits from every part of the fast-improving ABC of software: AI (freely available deep learning libraries like PyText and language models like BERT ), big data (Hadoop, Spark, and Spark NLP ), and cloud (GPU's on demand and NLP-as-a-service from all the major cloud providers). are written in English.

System 96

System Off-The-Shelf Machine Learning Artificial Inteligence 96

Cloudera

SEPTEMBER 7, 2023

With the emergence of new creative AI algorithms like large language models (LLM) fromOpenAI’s ChatGPT, Google’s Bard, Meta’s LLaMa, and Bloomberg’s BloombergGPT—awareness, interest and adoption of AI use cases across industries is at an all time high. It’s the most revolutionary technological development in at least a generation.

Insurance 81

Insurance Artificial Inteligence Data Systems Review 81

Altexsoft

JULY 21, 2021

So, numerous techniques, including mathematical optimization, constraint programming, and machine learning (ML), are used to address this issue. Doing it manually is time-consuming and way too uneffective. What is schedule optimization? Depending on the industry and management domain, scheduling may refer to.

Technology 59

Technology Off-The-Shelf Machine Learning Artificial Inteligence 59

O'Reilly Media - Ideas

JULY 15, 2019

As companies use machine learning (ML) and AI technologies across a broader suite of products and services, it’s clear that new tools, best practices, and new organizational structures will be needed. What cultural and organizational changes will be needed to accommodate the rise of machine and learning and AI?

Machine Learning 16

Machine Learning Artificial Inteligence Banking Enterprise 16

Altexsoft

SEPTEMBER 16, 2021

Digital twins play the same role for complex machines and processes as food tasters for monarchs or stunt doubles for movie stars. In many cases, it is powered by machine learning models. They prevent harm that otherwise could be done to precious assets. The article covers key questions about digital twins: how do they work?

IoT 64

IoT Technical Review Technical Advisors Energy 64

Altexsoft

SEPTEMBER 6, 2018

Customer-facing applications powered by machine learning algorithms solve your customers’ problems. An expert talking about the capabilities of predictive analytics for business on a morning TV show is far from unusual. Articles covering AI or data science in Facebook and LinkedIn appear regularly, if not daily.

Company 63

Company Off-The-Shelf Data Software Review 63

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

MAY 30, 2022

In this post, we’ll focus on what conversational AI is, how it works, and what platforms exist to enable data scientists and machine learning engineers to implement this technology. Also, such chatbots do not learn from interactions with a user: They only perform and work with the previously known scenarios you wrote for them.

Artificial Inteligence 52

Artificial Inteligence Technical Review Machine Learning Artificial Intelligence 52

O'Reilly Media - Ideas

SEPTEMBER 15, 2020

AI is a field where value, in the form of outcomes and their resulting benefits, is created by machines exhibiting the ability to learn and “understand,” and to use the knowledge learned to carry out tasks or achieve goals. AI-generated benefits can be realized by defining and achieving appropriate goals.

How To 124

How To Off-The-Shelf Advertising Machine Learning 124

Altexsoft

JUNE 6, 2019

In-store cameras and sensors detect each product one takes from a shelf, and items are being added to a virtual cart while a customer proceeds. Physical stores still have a lion’s share of sales, but the tendency of the growing demand for online experiences shouldn’t be ignored. Source: Forrester Consulting. Amazon Go stores.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

Sunflower Lab

OCTOBER 9, 2023

With Business Analytics becoming more and more intelligent with time and further innovative with the usage, it is an inevitable instance where your data will not be needing any manual manipulations and actions, as it will be all taken care by the automated machine learning programs.

Business Analytics 40

Business Analytics Analytics UI/UX Development Team Review 40

Altexsoft

SEPTEMBER 7, 2021

And it’s slowly paying off. Insurance companies find it difficult to attract new customers and retain them, especially when almost every insurer offers the same service or product. It’s also challenging since insurance is a low-touch industry, and insurers seldomly interact with their customers. The customer loyalty problem in insurance.

Insurance 59

Insurance Technical Review Strategy Technology 59

Actian

NOVEMBER 25, 2019

I wrote an initial blog a few weeks ago on flat files and why embedded software application developers readily adopted them. Then in the next blog, I covered why embedded developers are reluctant to use databases. In most cases, change doesn’t happen in ways that we immediately recognize and feel compelled to react to.

Artificial Inteligence 40

Artificial Inteligence Machine Learning Off-The-Shelf Systems Review 40

Altexsoft

APRIL 1, 2021

The second covers tasks on coding, testing, and maintaining both RPA bots and the entire ecosystem. While hardware robots remain in the realm of investment-heavy manufacturing, software robots became increasingly popular in office work due to the rise of Robotic Process Automation or RPA. What is Robotic Process Automation in a nutshell.

Development 111

Development Technical Review Software Review Artificial Inteligence 111

Altexsoft

JUNE 7, 2019

If your company is among them, you will need to label massive amounts of text, images, and/or videos to create production-grade training data for your machine learning (ML) models. That means you’ll need smart machines and skilled humans in the loop. So how do you choose the data labeling tool to meet your needs?

Tools 88

Tools Data Technical Review Open Source 88

Apiumhub

MAY 19, 2020

Originally set up to help the discovery of drugs for Alzheimer’s, this Oxford-born startup has now developed a low-cost stratification tool that will help test whether individuals are asymptomatic to Covid-19. Testing whether their smart rings could accurately detect Covid-19 transmission. Startups that work on COVID-19 projects.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Healthcare Wireless 52

Altexsoft

APRIL 24, 2019

We talked with experts from Perfect Price, Prisync, and a data science specialist from The Tesseract Academy to understand how various businesses can use machine learning for dynamic pricing to achieve their revenue goals. Would you consider fixed costs, competitor prices, or both? Dynamic pricing strategy 101 and key approaches.

Machine Learning 73

Machine Learning Artificial Inteligence Software Review Retail 73

Altexsoft

JANUARY 28, 2021

They use machine learning under the hood, and these types of RPA systems still require individual research and development. This article is a good place to start, learning what Robotic Process Automation is, how it works, and where it can be applied. But if a task has a straightforward flow, why not automate it?

Examples 52

Examples Technical Review Software Review Software 52

O'Reilly Media - Ideas

AUGUST 8, 2019

The rise of deep learning and other techniques have led to startups commercializing computer vision applications in security and compliance, media and advertising, and content creation. Companies are awash with unstructured and semi-structured text, and many organizations already have some experience with NLP and text analytics.

Guidelines 47

Guidelines Applications Artificial Inteligence Off-The-Shelf 47

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. In the process of working on their ML tasks, data scientists typically start their workflow by discovering relevant data sources and connecting to them.

Artificial Inteligence 86

Artificial Inteligence AWS Data Generative AI 86

Perficient

JANUARY 11, 2023

I’m going to start us off with little quote engaged you guy may have seen a sneak peak of that. I’m Sarah Dwiggins, I’m a Marketing Manager for Perficient and I’m excited to be moderating today’s webinar. Journey Science, the Next Frontier in Data Driven Customer Experience. Brian: All right. Thanks, Sarah.

Data 64

Data Research Analytics Organization 64