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

Altexsoft

APRIL 13, 2021

Look at just one example: WeSure, the insurance platform stemming from the messaging app WeChat, celebrated over 55 million users on its second anniversary. 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.

Machine Learning 87

Machine Learning Artificial Inteligence Insurance Technical Review 87

Altexsoft

FEBRUARY 5, 2020

In this article, we’ll discuss what the next best action strategy is and how businesses define the next best action using machine learning-based recommender systems. The funnel for each customer is unique as each customer learns about a company or its services at their own pace and style. This changes the game for marketers.

Machine Learning 110

Machine Learning Artificial Inteligence Marketing How To 110

Altexsoft

JANUARY 27, 2022

As of today, different machine learning (and specifically deep learning) techniques capable of processing huge amounts of both historic and real-time data are used to forecast traffic flow, density, and speed. In 2021, NYC drivers lost an average of 102 hours in congestion – and before the pandemic that score was even worse.

Machine Learning 69

Machine Learning Artificial Inteligence Transportation Network 69

TechCrunch

JULY 14, 2022

For example, according to a recent survey by Retail Insights, seven out of 10 consumers believe that stockouts — events that cause inventory to be exhausted — are worse today than they were during peak pandemic-induced panic buying. “Today, if you walk into one of the major retail chains in the U.S.,

Retail 197

Retail Off-The-Shelf Artificial Inteligence Machine Learning 197

TechCrunch

MARCH 9, 2023

Co-founded by Fick and Mike Henry at the University of Michigan under the name Isocline, Mythic developed chip tech that stores analog values on flash transistors. Mythic , an AI chip startup that last November reportedly ran out of capital, rose from the ashes today with an unexpected injection of fresh funds. So what went wrong?

Technical Review 227

Technical Review CTO Coach Fractional CTO Off-The-Shelf 227

Netflix Tech

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

System 90

System Machine Learning Artificial Inteligence Training 90

Bernd Rucker

DECEMBER 21, 2021

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. Or applying software engineering methods accelerated by developer-friendly process automation technology?

Off-The-Shelf 114

Off-The-Shelf Software Engineering Software Tools 114

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. . For example, companies may need clearer differentiation from competitors.

Software Development 52

Software Development Weak Development Team Software UI/UX 52

Palo Alto Networks

MAY 7, 2024

For example, they repurpose malware and often use off-the-shelf toolkits like CobaltStrike and Brute Ratel C4 to exploit weaknesses and take malicious actions with minimal effort. Develop Malicious Code – Threat actors can use AI tools to create malware and other code, even if they don’t have coding skills.

Artificial Inteligence 52

Artificial Inteligence Weak Development Team Malware Off-The-Shelf 52

CIO

JULY 14, 2023

It’s already showing up in the top 20 shadow IT SaaS apps tracked by Productiv for business users and developers alike. In the shaper model, you’re leveraging existing foundational models, off the shelf, but retraining them with your own data.” As so often happens with new technologies, the question is whether to build or buy.

Generative AI 245

Generative AI Artificial Inteligence Open Source ChatGPT 245

Altexsoft

APRIL 1, 2021

One of them is an RPA developer. Given a growing interest in automation engineering, let’s take a look at the role of an RPA developer. Further, we’ll also discuss the certification required for employing or hiring an RPA developer. Now, let’s move on to an RPA developer. What is RPA Developer.

Development 111

Development Technical Review Software Review Artificial Inteligence 111

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

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

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 139

Product Management Artificial Inteligence Machine Learning Software Review 139

Capgemini

NOVEMBER 16, 2023

The i14y Lab is an example of how this collaboration is already well underway. The i14y Lab is an example of how this collaboration is already well underway. Industry collaboration is key to transform the vision of cloud-native, AI-optimized 5G Open RANs Shamik Mishra 8 Aug 2022 Facebook Twitter Linkedin Rome wasn’t built in a day.

Industry 52

Industry Cloud Off-The-Shelf Network 52

O'Reilly Media - Ideas

JANUARY 8, 2019

In a recent O’Reilly survey , we found that the skills gap remains one of the key challenges holding back the adoption of machine learning. For most companies, the road toward machine learning (ML) involves simpler analytic applications. Increasing focus on building data culture, organization, and training.

Trends 89

Trends Data Machine Learning Artificial Inteligence 89

Altexsoft

JANUARY 28, 2021

They use machine learning under the hood, and these types of RPA systems still require individual research and development. They use machine learning under the hood, and these types of RPA systems still require individual research and development. So, that’s a foreword. What is Robotic Process Automation?

Examples 52

Examples Technical Review Software Review Software 52

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. In 2017, usage of AIOps tools in enterprise application development was at 5%. Let’s do it.

Artificial Inteligence 145

Artificial Inteligence Tools Machine Learning Artificial Intelligence 145

O'Reilly Media - Ideas

OCTOBER 13, 2020

In traditional software engineering, precedent has been established for the transition of responsibility from development teams to maintenance, user operations, and site reliability teams. Because product development and product operations are distinct, it’s logical for different teams and processes to be responsible for them.

Product Management 109

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

TechCrunch

MARCH 22, 2022

A CG image showing examples of anamorphic (top) and traditional symmetric lenses and the resulting internal image size. 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.

Film 246

Film Technical Review Systems Review Weak Development Team 246

Sunflower Lab

FEBRUARY 8, 2024

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. During periods of inactivity, virtual assistants engage in learning by examining successfully resolved tickets.

Artificial Inteligence 52

Artificial Inteligence Real Estate Artificial Intelligence Healthcare 52

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. In 2017, usage of AIOps tools in enterprise application development was at 5%. Let’s do it.

Artificial Inteligence 124

Artificial Inteligence Tools Machine Learning Artificial Intelligence 124

Modus Create

MARCH 18, 2020

We wished it were possible to say: “According to my brand new crystal ball, we should start developing The-Perfect-Product in Q1 and launch in Q4. emergence phase, first MVPs are developed and announced. A while ago I had a very interesting discussion on how we would evaluate the market’s readiness for a new product.

Development 75

Development Artificial Inteligence Off-The-Shelf Innovation 75

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 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

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. ouple of examples proving that ML-based predictions are worth investing in. Here is a ?ouple

How To 98

How To Healthcare Machine Learning Artificial Inteligence 98

Altexsoft

JULY 14, 2021

Some examples are hospitals, insurance companies, doctors, nurses, pharmacists, laboratories, call centers, medical equipment providers, social workers, etc. To learn more, check the article on common HIPAA violations to be aware of. A covered entity (CE) is any individual or organization that processes, transmits, and stores PHI.

Off-The-Shelf 59

Off-The-Shelf Machine Learning Artificial Inteligence Healthcare 59

Cloudera

SEPTEMBER 7, 2023

It’s the most revolutionary technological development in at least a generation. 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.

Insurance 81

Insurance Artificial Inteligence Data Systems Review 81

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. Another example, coming from the retail industry, comes from Lowe’s as a method of effective store management.

Artificial Inteligence 15

Artificial Inteligence Machine Learning Software Review Artificial Intelligence 15

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. An example of it may be the following: Imagine, you are in your comfy bed ready to fall asleep but the lights are still on.

Artificial Inteligence 52

Artificial Inteligence Technical Review Machine Learning Artificial Intelligence 52

Bernd Rucker

NOVEMBER 23, 2021

For example, around payrolls, tax statements, and absence management. A good example is NASA and their Mars robot. Take, for example, the customer onboarding process in a bank. Earlier this year, I introduced the idea of the process automation map. Over time, it has proven useful in several customer scenarios.

Software Review 98

Software Review Telecommunications Systems Review Off-The-Shelf 98

Lacework

FEBRUARY 1, 2022

As many security leaders learned from the recent Log4j exploit , most cloud security tools were not built for the scale, complexity, and speed of a single cloud environment — let alone multi or hybrid cloud. Take for example Nylas, a provider of communications APIs for business productivity automation.

Cloud 57

Cloud Google Cloud AWS Off-The-Shelf 57

Altexsoft

SEPTEMBER 6, 2018

Other organizations may want to develop a custom analytical and visualization platform to be in control of their operations and make strategic decisions based on the insights. Customer-facing applications powered by machine learning algorithms solve your customers’ problems. For instance, we had such a case in our work.

Company 63

Company Off-The-Shelf Data Software Review 63

Altexsoft

AUGUST 9, 2023

.” It has become an integral tool, ensuring the travelers’ comfort and the operations’ cost-effectiveness and efficiency. This guide delves deep into the specifics of building a custom B2B travel booking platform specifically tailored for corporate travel. Legacy GDS limitations. Different booking flow.

Travel 52

Travel B2B Off-The-Shelf Hotels 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

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. However, for those who do not, or want a local development installation, here is a basic setup of Airflow 2.x x to run a proof of concept: # we use this version in our example but any version should work.

Off-The-Shelf 97

Off-The-Shelf Data Engineering Virtualization Cloud 97