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

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 145

How To Off-The-Shelf Advertising Artificial Inteligence 145

iTexico

AUGUST 26, 2019

Machine Learning Use Cases: iTexico’s HAL. The smart reply function utilizes machine learning to automatically suggest three different brief, customized responses to quickly answer any emails you may receive. Small cameras, placed on top of shelves, monitor and stream real-time information on shelf-stock levels.

Artificial Inteligence 15

Artificial Inteligence Machine Learning Software Review Artificial Intelligence 15

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 161

Off-The-Shelf Artificial Inteligence Machine Learning Weak Development Team 161

Altexsoft

APRIL 13, 2021

And when it comes to decision-making, it’s often more nuanced than an off-the-shelf system can handle — it needs the understanding of the context of each particular case. But it does need more advanced approaches that mimic human perception and judgment like AI, Machine Learning, and ML-based Robotic Process Automation.

Artificial Inteligence 87

Artificial Inteligence Machine Learning Insurance Technical Review 87

CIO

JULY 8, 2024

Many companies struggle with where and how to implement artificial intelligence (AI) into their workflows. At DataXstream, we do this upfront – before AI is applied – so we can create the right machine learning models tailored to your business, and then apply them to the highest-value processes in your company to drive sales.

Artificial Inteligence 158

Artificial Inteligence Artificial Intelligence Off-The-Shelf Machine Learning 158

AWS Machine Learning - AI

MARCH 18, 2025

However, off-the-shelf LLMs cant be used without some modification. Embedding is usually performed by a machine learning (ML) model. SQL is one of the key languages widely used across businesses, and it requires an understanding of databases and table metadata. The following diagram provides more details about embeddings.

Artificial Inteligence 85

Artificial Inteligence Applications Generative AI Off-The-Shelf 85

CIO

JULY 24, 2024

The challenge, as many businesses are now learning the hard way, is that simply applying black box, off-the-shelf LLMs, like a GPT-4, for example, will not deliver the accuracy and consistency needed for professional-grade solutions. The key to this approach is developing a solid data foundation to support the GenAI model.

Artificial Inteligence 113

Artificial Inteligence Off-The-Shelf Insurance How To 113

Altexsoft

OCTOBER 3, 2019

Creating and maintaining the great environment comes along with the understanding who the high performers are and how to keep them inspired, as well as who is lagging and why. The day may come when a seasoned professional tells you or your colleague about their plan to leave the company in a month. performing and high?potential

Analytics 16

Analytics Company Off-The-Shelf How To 16

CIO

SEPTEMBER 12, 2022

What our team has produced in the last few years is keeping in mind how to make people’s lives simpler and reducing commute times.”. 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 174

Data Engineering Engineering Data Transportation 174

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). You already know the game and how it is played: you’re the coordinator who ties everything together, from the developers and designers to the executives.

Product Management 145

Product Management Artificial Inteligence Machine Learning Weak Development Team 145

OverOps

NOVEMBER 13, 2018

AIOps, at its core, is a data-driven practice of bridging resources and leveraging AI and machine learning to make predictions based on historical data. Machine learning and artificial intelligence are complex concepts. AIOps seems to be all the rage these days, and it’s not hard to figure out why. Let’s do it.

Artificial Inteligence 145

Artificial Inteligence Tools Machine Learning Artificial Intelligence 145

Altexsoft

JANUARY 27, 2022

How often do you yourself get stuck in traffic wishing you’d known about it in advance and drove a different way? But have you ever thought about how Google Maps knows what to expect on the way? So, how is traffic predicted? Multiple logistics-related businesses heavily rely on the accuracy of these calculations. street lights).

Artificial Inteligence 69

Artificial Inteligence Machine Learning Transportation Network 69

Bernd Rucker

DECEMBER 21, 2021

How could you go about this? In this case, the decision is not too hard: as thousands of companies have the exact same requirements you have, you can simply buy a standard HR software or leverage an off-the-shelf cloud service around payroll. Should you look into process automation platforms to help out?

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Off-The-Shelf Software Engineering Software Tools 114

CIO

APRIL 14, 2023

A broad spectrum of tools has arisen to facilitate software development in the enterprise, from no-code platforms like Bubble and low-code drag-and-drop tools , both stand-alone and integrated into enterprise applications, to intelligent tools that use machine learning to suggest lines of code to professional developers as they work.

Technical Advisors 173

Technical Advisors CTO Coach Off-The-Shelf Software Development 173

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 95

Open Source Data Artificial Inteligence Machine Learning 95

TechCrunch

MARCH 22, 2022

Glass is a startup looking to fundamentally change how the camera works, using a much bigger sensor and an optical trick from the depths of filmmaking: anamorphic lenses. It may not be obvious that cameras won’t get better, since we’ve seen such advances in recent generations of phones. ” So what is that work, exactly?

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Film Technical Review Systems Review Weak Development Team 246

Altexsoft

MAY 5, 2023

The short-term rentals (STR) market has been expanding rapidly in recent years, with popular vacation rental platforms like Airbnb, Booking.com, and VRBO transforming how people travel and lodge. This includes learning, reasoning, problem-solving, perception, language understanding, and decision-making.

Artificial Inteligence 59

Artificial Inteligence Machine Learning Technical Review ChatGPT 59

O'Reilly Media - Ideas

JANUARY 17, 2023

” I, thankfully, learned this early in my career, at a time when I could still refer to myself as a software developer. You know the drill: pull some data, carve it up into features, feed it into one of scikit-learn’s various algorithms. What would you say is the job of a software developer? Pretty simple. Building Models.

Software Review 145

Software Review Development Team Review Artificial Inteligence Machine Learning 145

OverOps

NOVEMBER 13, 2018

AIOps, at its core, is a data-driven practice of bridging resources and leveraging AI and machine learning to make predictions based on historical data. Machine learning and artificial intelligence are complex concepts. AIOps seems to be all the rage these days, and it’s not hard to figure out why. Let’s do it.

Artificial Inteligence 124

Artificial Inteligence Tools Machine Learning Artificial Intelligence 124

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. Here is a ?ouple

How To 98

How To Healthcare Machine Learning Artificial Inteligence 98

O'Reilly Media - Ideas

OCTOBER 13, 2020

Our previous articles in this series introduce our own take on AI product management , discuss the skills that AI product managers need , and detail how to bring an AI product to market. The field of AI product management continues to gain momentum. New features in an existing product often follow a similar progression.

Product Management 125

Product Management Artificial Inteligence UI/UX Off-The-Shelf 125

Tenable

MARCH 28, 2025

Titled Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations (NIST AI 100-2) and published by the U.S. Plus, organizations have another cryptographic algorithm for protecting data against future quantum attacks. Dive into five things that are top of mind for the week ending March 28.

Artificial Inteligence 69

Artificial Inteligence Off-The-Shelf Artificial Intelligence Machine Learning 69

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

AWS Machine Learning - AI

NOVEMBER 22, 2023

In addition, customers are looking for choices to select the most performant and cost-effective machine learning (ML) model and the ability to perform necessary customization (fine-tuning) to fit their business use cases. The LLM generated text, and the IR system retrieves relevant information from a knowledge base.

Artificial Inteligence 105

Artificial Inteligence Serverless Engineering Machine Learning 105

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. How can you start applying the stack in practice today?

DevOps 145

DevOps Data Software Review Technical Advisors 145

CIO

JULY 14, 2023

But you want to adopt them to avoid competitive disadvantage, especially as they often arrive as new features in applications that staff already know how to use. In the shaper model, you’re leveraging existing foundational models, off the shelf, but retraining them with your own data.”

Generative AI 148

Generative AI Artificial Inteligence Open Source ChatGPT 148

O'Reilly Media - Ideas

FEBRUARY 20, 2019

Recently, O’Reilly Media published AI Adoption in the Enterprise: How Companies Are Planning and Prioritizing AI Projects in Practice , a report based on an industry survey. The other two surveys were The State of Machine Learning Adoption in the Enterprise , released in July 2018, and Evolving Data Infrastructure , released in January 2019.

Survey 111

Survey Artificial Inteligence Technical Review Artificial Intelligence 111

AWS Machine Learning - AI

AUGUST 22, 2024

In this post, we show you how to convert Python code that fine-tunes a generative AI model in Amazon Bedrock from local files to a reusable workflow using Amazon SageMaker Pipelines decorators. Generative AI models are constantly evolving, with new versions and updates released frequently.

Generative AI 108

Generative AI Artificial Inteligence Applications AWS 108

Mobilunity

AUGUST 30, 2021

So, the question of how to develop a quality custom healthcare product and what company to delegate it to is one of the most topical for the majority of healthcare businesses. Currently, healthcare software development can be divided into two main types: commercial off-the-shelf (COTS) and custom healthcare software development.

Software Development 52

Software Development Healthcare Software Review Software 52

Cloudera

SEPTEMBER 21, 2021

Airflow users can avoid writing custom code to connect to a new system, but simply use the off-the-shelf providers. Many customers looking at modernizing their pipeline orchestration have turned to Apache Airflow, a flexible and scalable workflow manager for data engineers. Step 0: Skip if you already have Airflow. airflow db init.

Off-The-Shelf 99

Off-The-Shelf Data Engineering Virtualization Cloud 99

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 Software Review Technical Review Artificial Inteligence 111

The Accidental Successful CIO

MAY 12, 2021

CIOs need to understand how to make use of new business intelligence tools Image Credit: deepak pal. The challenge that CIOs are facing is how best to make use of these new tools? How many customers have we gained this month? Understanding Business Intelligence vs. Business Analytics.

Business Intelligence 90

Business Intelligence Business Analytics Analytics Off-The-Shelf 90

Linux Academy

JANUARY 16, 2020

Mark’s passion for learning and self-sufficiency began early on in life. . But don’t worry, while Mark was learning programming languages and jamming out to the smooth sound of trumpets, he made time for the math club as well. But how exactly did Mark get here? Mark Richman, AWS Training Architect.

Linux 22

Linux Training Azure Off-The-Shelf 22

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 54

Open Source Data Artificial Inteligence Machine Learning 54

AWS Machine Learning - AI

DECEMBER 22, 2023

This notebook shows how to fine-tune models with SageMaker JumpStart. We start off with a baseline foundation model from SageMaker JumpStart and evaluate it with TruLens , an open source library for evaluating and tracking large language model (LLM) apps.

Artificial Inteligence 105

Artificial Inteligence Training Off-The-Shelf Metrics 105

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 101

Artificial Inteligence Data AWS Generative AI 101