DataRobot

APRIL 29, 2022

This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks. What is a model?

Artificial Inteligence 111

Artificial Inteligence Systems Review Technical Review Software Review 111

Tenable

JANUARY 5, 2024

A new NIST guide aims to help you identify and mitigate attacks targeting AI tools. National Institute of Standards and Technology (NIST) “ Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations (NIST.AI.100-2).” Want to learn more about protecting AI systems from malicious actors? And much more!

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Artificial Inteligence Systems Review System Generative AI 70

O'Reilly Media - Ideas

JANUARY 19, 2021

Variants of artificial intelligence (AI), such as predictive modeling, statistical learning, and machine learning (ML), can create new value for organizations. “[T]he threats to consumers arising from data abuse, including those posed by algorithmic harms, are mounting and urgent.” FTC Commissioner Rebecca K. This article is not legal advice.

Technical Review 145

Technical Review Artificial Inteligence Systems Review Data 145

O'Reilly Media - Ideas

JUNE 27, 2023

Welcome to your company’s new AI risk management nightmare. I’ll share some ideas for mitigation. Before you give up on your dreams of releasing an AI chatbot, remember: no risk, no reward. The core idea of risk management is that you don’t win by saying “no” to everything. What Can You Do?

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Weak Development Team Training ChatGPT Systems Review 98

Coforge

AUGUST 27, 2020

However, the industry has been slow to adopt machine learning (ML) in an era where organizations from other domains are increasingly collaborating with machines to build better business models, mitigate risk, enhance competence, and bring sharper competitive benefits. Retains buyers by keeping prices low on long-term contracts.

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Artificial Inteligence Machine Learning Insurance Artificial Intelligence 52

xmatters

JANUARY 11, 2023

AIOps is the application of sophisticated analytics like natural language processing (NLP), machine learning (ML), and artificial intelligence (AI) to automate, enhance, and optimize IT operations and workflows. AIOps tools combine AI and ML capabilities to assist the effectiveness of your incident response in the following ways.

Artificial Inteligence 52

Artificial Inteligence Metrics Systems Review Machine Learning 52

xmatters

JANUARY 11, 2023

AIOps is the application of sophisticated analytics like natural language processing (NLP), machine learning (ML), and artificial intelligence (AI) to automate, enhance, and optimize IT operations and workflows. AIOps tools combine AI and ML capabilities to assist the effectiveness of your incident response in the following ways.

Artificial Inteligence 52

Artificial Inteligence Metrics Systems Review Machine Learning 52

O'Reilly Media - Ideas

OCTOBER 22, 2020

We do so out of genuine curiosity as well as professional necessity: Q is an ML/AI consultant, Chris is a product manager in the AI space, and Shane is an attorney. Preferably before things get out of hand, but sometimes precisely because they have. We then each chose our top three questions, which we’ve detailed in this article.

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Weak Development Team Training Systems Review Data 123

Altexsoft

JUNE 2, 2020

Machine learning (ML) is the brain of the AI—a type of algorithm that enables computers to analyze data, learn from past experiences, and make decisions, in a way that resembles human behavior. Conventional vulnerability management techniques respond to incidents only after hackers have already exploited the vulnerability.

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Artificial Inteligence Examples Applications Machine Learning 93

Altexsoft

SEPTEMBER 19, 2023

External travel data sources and providers External data encompasses all types of information and datasets created outside a company and existing beyond its direct control, ownership, or management. We will examine key data sources, real-world use cases, and how to approach analytics in travel. Travel data: external and internal sources.

Travel 52

Travel Analytics Examples Airlines 52

O'Reilly Media - Ideas

NOVEMBER 29, 2022

While it’s unlikely that the bill will become law, merely raising the possibility of criminal prosecution and jail time has upped the ante for “ commercial entities that operate high-risk information systems or automated-decision systems, such as those that use artificial intelligence or machine learning.”.

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Artificial Inteligence Artificial Intelligence Guidelines Machine Learning 116

Existek

NOVEMBER 21, 2023

However, AI-driven analytics takes it a step further by leveraging algorithms and other AI techniques to discover patterns, correlations, and trends in data. But how is AI revolutionizing analytics across different domains? What are the latest market tendencies to be adopted within your products and services?

Analytics 52

Analytics Industry Artificial Inteligence Artificial Intelligence 52

O'Reilly Media - Ideas

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle. Though these concepts may be simple to understand, they aren’t as easy in practice.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145

Zensar

JUNE 28, 2019

Why do some Digital Transformation initiatives succeed and others fail? To put things in perspective, 70% of all digital transformation initiatives fail to meet their goals. This translates to over $900 million worth of investments that missed the mark in 2018. Digital crossover across the business processes. Application of Connected Intelligence.

Industry 45

Industry Artificial Inteligence Insurance IoT 45

Sunflower Lab

MARCH 13, 2024

Supply chain managers rely on data visualization tools & techniques to gain a comprehensive understanding of operational dynamics, identify trends, and anticipate potential issues. Ultimately, these insights empower supply chain managers to make informed decisions that drive efficiency, reduce costs, and maximize overall performance.

Transportation 52

Transportation Weak Development Team Metrics Healthcare 52

Existek

SEPTEMBER 28, 2023

They have a wide choice of techniques and tools to develop and maintain advanced solutions. With the major progress in all sub-domains of artificial intelligence, the demand for AI developers has tremendously increased. AI-related skills are highly valued in the market and adopted in various industries. What do AI developers do?”

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Artificial Inteligence Development How To Artificial Intelligence 52

AWS Machine Learning - AI

NOVEMBER 22, 2023

Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. In addition to several exciting announcements during keynotes, most of the sessions in our track will feature generative AI in one form or another, so we can truly call our track “Generative AI and ML.”

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Generative AI Artificial Inteligence AWS Machine Learning 105

UruIT

NOVEMBER 25, 2020

Analysts tend to concentrate on voluntary churn , because it typically occurs due to factors companies can control, such as how billing interactions are handled or how after-sales support is provided. Predictive analytics use churn prediction models to forecast customer churn by assessing their propensity of risk to churn.

How To 106

How To Machine Learning Artificial Inteligence Analysis 106

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. Data science and artificial intelligence are hot media topics. 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

O'Reilly Media - Ideas

FEBRUARY 18, 2020

This combination of usage and search affords a contextual view that encompasses not only the tools, techniques, and technologies that members are actively using, but also the areas they’re gathering information about. ML + AI are up, but passions have cooled. Within the data topic, however, ML+AI has gone from 22% of all usage to 26%.

Technical Review 139

Technical Review Microservices Data Engineering Architecture 139

Altexsoft

NOVEMBER 9, 2021

For most companies, it’s actually more of a tangled mix of stress, risks, and unfulfilled hopes that nothing will go wrong. Many people believe that shopping is a therapy (and as a matter of fact, studies prove it). In business, shopping — or procurement — isn’t that pleasing. Procurement and its challenges.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

O'Reilly Media - Ideas

MARCH 31, 2022

AI is in the news often enough, but the steady drumbeat of new advances and techniques has gotten a lot quieter. In December 2021 and January 2022, we asked recipients of our Data and AI Newsletters to participate in our annual survey on AI adoption. We were particularly interested in what, if anything, has changed since last year.

Enterprise 109

Enterprise Artificial Inteligence Government Budget 109

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. As this industry progresses, property owners and managers constantly search for ways to improve their operations and outpace their competition.

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Artificial Inteligence Machine Learning Technical Review ChatGPT 59

Tenable

JUNE 9, 2023

Plus, check out the top risks of ChatGPT-like LLMs. Fine-tuned models are where your sensitive and confidential data is most at risk,” Pollard and Mellen wrote. Find out why cyber teams must get hip to AI security ASAP. Also, learn what this year’s Verizon DBIR says about BEC and ransomware. Plus, the latest trends on SaaS security.

Artificial Inteligence 52

Artificial Inteligence ChatGPT How To Software Review 52

Altexsoft

JUNE 9, 2023

Nowadays, language models are the backbone of natural language processing (NLP) — the ML technique empowering machines to analyze, comprehend, and generate human language. We’ll highlight our company’s experience demonstrating how we’ve used ChatGPT within travel technology.

ChatGPT 52

ChatGPT Travel Artificial Inteligence Hotels 52

Altexsoft

NOVEMBER 15, 2018

Having insufficient control over operations is like letting some customers pay for goods and services with colorful paper notes instead of cash or valid cards. Once these operations are organized, you can achieve frictionless customer experience while minimizing the risk of fraud-related losses. What does ML-based software do?

Software Review 64

Software Review Software Systems Review Technical Review 64

Sunflower Lab

APRIL 2, 2024

Understanding Predictive Analytics: Definition and Use Cases Predictive analysis is a technique of predicting probable consequences by utilizing historical data of the past and statistical models. But the truest transformation happens when you marry the art of prediction with the sophisticated canvas of tools that Microsoft Power BI offers.

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Analytics Machine Learning Artificial Inteligence Analysis 40