OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures. AI and ML algorithms use statistical models to identify patterns in data and make predictions, classifications, and optimizations.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures. AI and ML algorithms use statistical models to identify patterns in data and make predictions, classifications, and optimizations.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

TechCrunch

JUNE 17, 2021

Graph-based data models have become central to modern machine learning and artificial intelligence applications, and are now widely used by data analysts in applications as diverse as marketing to fraud detection. In the past, most business analysis was built on relational databases.

Analysis 252

Analysis Enterprise Artificial Inteligence Data 252

TechCrunch

FEBRUARY 10, 2021

Where today, they’re using neural net processors — we have the next evolution of AI computer engines.” So we created a bottom-up approach that is built around the engine that you need.

Hardware 250

Hardware Data Center Architecture Storage 250

CIO

APRIL 13, 2023

For instance, if you start with a Monet painting and use an extended generative AI model trained on all Monet artwork and complementary artists, you can create an input dataset that includes images by the artist. Deep learning models, for example, can have thousands or even millions of parameters.

Generative AI 173

Generative AI Artificial Inteligence Technical Review Artificial Intelligence 173

Openxcell

JUNE 29, 2023

Developers and businesses are opting for building websites and web applications using Artificial intelligence (AI) technologies from OpenAI. Here are some features to look out for when developing websites using OpenAI API’s. This almost renders human ability to detect relationships between objects.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence ChatGPT Analysis 52

Openxcell

MARCH 23, 2023

Earlier humans were the only ones who had the potential to learn from their past experiences. But with technological progress, machines also evolved their competency to learn from experiences. This buzz about Artificial Intelligence and Machine Learning must have amused an average person. What is Machine Learning with example?

Artificial Inteligence 98

Artificial Inteligence Machine Learning Examples Artificial Intelligence 98

Xebia

DECEMBER 14, 2023

There, I learned how SaaS platform product is built in an agile way and how to provide relevant insights and create data stories using SQL, Tableau, and a bit of R. Thanks to this, I was able to peek through the window about how our central media buying algorithm could be improved using Data Science.

Product Management 130

Product Management Training Artificial Inteligence Agile 130

Altexsoft

AUGUST 25, 2021

Keep reading to learn: What problems NLP can help solve. Specifics of data used in NLP. Tools you can use to build NLP models. Main NLP use cases. all come in a diversity of formats, which makes it hard to store and make use of. Spam detection. Language detection. What is Natural Language Processing?

Tools 139

Tools Artificial Inteligence Technical Review Systems Review 139

Hu's Place - HitachiVantara

MAY 10, 2019

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. Fraud detection software developed in the past have traditionally been based on rules -based models.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

Openxcell

APRIL 25, 2023

AI has evolved into an excellent option that can be used to launch a new business in addition to being integrated into existing businesses. AI is used in a wide range of industries. This brings the opportunity for entrepreneurs to launch AI-driven fraud detection solution companies.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence ChatGPT Healthcare 52

Openxcell

MAY 18, 2023

The use of artificial intelligence in healthcare can literally improve the lives of patients, improving diagnostics and treatment, and assisting them in making informed medical decisions easily. In this article, we will discuss what is AI in healthcare, its popular use cases, benefits, the latest trends, and the future of AI in healthcare.

Healthcare 98

Healthcare Artificial Inteligence Trends Artificial Intelligence 98

Mentormate

JUNE 13, 2023

For decades, organizations have used artificial intelligence extensively in personalized marketing, preventive machine maintenance, automated vision, fraud detection, and many other applications. However, it has been primarily used “under the hood.” I also see that my students already use them despite their drawbacks.

Artificial Inteligence 98

Artificial Inteligence Artificial Intelligence Education Generative AI 98

Altexsoft

OCTOBER 22, 2021

In 2021, the genealogy website MyHeritage presented its Deep Nostalgia app capable of making photos move, smile, and blink. Well, the technology behind such “magic” is called deep learning. Get ready because you’re about to go deep into deep learning. What is deep learning?

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence .Net Machine Learning 52

Cloudera

FEBRUARY 11, 2022

Advances in the development and application of Machine Learning (ML) and Deep Learning (DL) algorithms, require greater care to ensure that the ethics embedded in previous rule-based systems are not lost. What is Machine Learning. Instead, they are learned by training a model on data.

Artificial Inteligence 93

Artificial Inteligence Machine Learning Artificial Intelligence Training 93

Altexsoft

SEPTEMBER 19, 2023

We will examine key data sources, real-world use cases, and how to approach analytics in travel. Learn more about the functions of internal systems with our dedicated articles about hotel property management systems and passenger service systems. Here, we will look at 4 key use cases of travel analytics.

Travel 52

Travel Analytics Examples Airlines 52

Cloudera

AUGUST 20, 2020

Machine Learning (ML) and Artificial Intelligence (AI), while still emerging technologies inside of enterprise organisations, have given some companies the ability to dynamically change their fortunes and reshape the way they are doing business — that is if they are brave enough to experiment and explore the unknown.

Innovation 121

Innovation Enterprise Artificial Inteligence Data 121

Cloudera

OCTOBER 4, 2023

For example: In manufacturing, fast-moving data provides the only way to detect — or even predict and prevent — defects in real time before they propagate across an entire production cycle. We can move to predictive fraud and breach prevention, greatly increasing the protection of customer data and financial assets.

Analytics 85

Analytics Machine Learning Artificial Inteligence Telecommunications 85

OverOps

OCTOBER 14, 2018

DevOps and Agile Methodology: Lessons Learned [PRO3964]. Automate Anomaly Detection with Graph Analytics [DEV5397]. Deep Learning for Application Performance Optimization [BOF4967]. In this session, learn how the new Flight Recorder records application events and some helpful use cases. All Things DevOps.

Technical Review 189

Technical Review Software Review Weak Development Team Development Team Review 189

The Accidental Successful CIO

JANUARY 25, 2023

CIOs have to learn how to use AI on the job Image Credit: Amber Case I think that we can all agree that AI is coming. By doing this analysts, auditors and actuaries who lack specialized AI training are able to identify sales prospects, spot risks and fraud, and boost organizational efficiency.

Artificial Inteligence 98

Artificial Inteligence Artificial Intelligence Machine Learning Training 98

Capgemini

APRIL 20, 2022

In today’s data-driven economy, artificial intelligence (AI) and machine learning (ML) are powering digital transformation in every industry around the world. ” Machine learning in general, and especially deep learning, is data-hungry. Written by: Jitesh Ghai. Chief Product Officer. Informatica.

Artificial Inteligence 98

Artificial Inteligence Data Systems Review Technical Review 98

KitelyTech

FEBRUARY 24, 2023

As technology advances, the use of Artificial Intelligence (AI) and robotics is quickly becoming a reality. They are being used in areas such as artificial intelligence-based automation, analytics, machine learning, natural language processing, computer vision, robotics engineering, and autonomous systems.

Artificial Inteligence 52

Artificial Inteligence Industry Artificial Intelligence Technical Review 52

The Accidental Successful CIO

SEPTEMBER 22, 2021

However, at banks, insurers and other financial companies their use of artificial intelligence is being especially hampered by a scarcity of data and talent. AI systems typically perform well if they are fed huge amounts of data they can learn from. Why Hiring AI Talent Is So Hard To Do. AI is a competitive advantage for them.

Artificial Inteligence 98

Artificial Inteligence Machine Learning Artificial Intelligence Banking 98

O'Reilly Media - Ideas

MARCH 19, 2020

O’Reilly online learning is a trove of information about the trends, topics, and issues tech leaders need to know about to do their jobs. Our analysis of ML- and AI-related data from the O’Reilly online learning platform indicates: Unsupervised learning surged in 2019, with usage up by 172%. Unsupervised learning is growing.

Artificial Inteligence 112

Artificial Inteligence Trends Artificial Intelligence Machine Learning 112

Mobilunity

NOVEMBER 19, 2023

Methods to Extract Data Insights Machine Learning Algorithms : Machine learning leverages algorithms to enable computers to learn from and make predictions or decisions based on data. It’s the driving force behind recommendation systems, fraud detection, and predictive maintenance.

UI/UX 52

UI/UX Data Machine Learning Artificial Inteligence 52

CTOvision

FEBRUARY 21, 2017

For years there has been a growing concern that many forms of machine learning are actually easier to deceive than they should be (and there is good reason to be concerned, for background on why see the paper recommended to me by my friend Lewis Shepherd: " Deep Neural Networks are Easily Fooled "). Bob Gourley.

Artificial Inteligence 91

Artificial Inteligence Artificial Intelligence Network Weak Development Team 91

BrainStation Technology

APRIL 23, 2019

Experts say the entire banking and financial services industry — from trading to wealth investment to fraud prevention — will be radically transformed by machine-learning in the years ahead, be it chatbots handling financial questions or algorithms flagging credit card fraud. AI Will Improve Fraud-Prevention Efforts.

Artificial Inteligence 73

Artificial Inteligence Banking Artificial Intelligence Machine Learning 73

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Openxcell

NOVEMBER 10, 2023

A few commonly used enterprise applications are- Enterprise Resource Planning (E.R.P.) It does so by implementing technologies of Machine Learning, Natural Language Processing(NLPs), and more. Additionally, automation can aid in resource liberation for use in other crucial endeavors. Systems, Supply Chain Management (S.C.M.)

Artificial Inteligence 52

Artificial Inteligence Enterprise Artificial Intelligence Machine Learning 52

AWS Machine Learning - AI

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Artificial Inteligence 115

Artificial Inteligence Generative AI Security Applications 115

Palo Alto Networks

FEBRUARY 18, 2020

What I learned offers a glimpse into emerging problems like deep fakes, stalkerware and surveillance attacks. Fakes and deep fakes are the new buzzwords. . Deep fakes — faked videos and audio recordings that resemble the real thing – is a subject of interest for many experts.

Conference 76

Conference Weak Development Team Industry Artificial Inteligence 76

Tenable

MARCH 17, 2023

Learn about CISA’s new program to help critical infrastructure organizations stamp out vulnerabilities associated with ransomware attacks. 1 - CISA program detects ransomware vulnerabilities in critical infrastructure The U.S. 1 - CISA program detects ransomware vulnerabilities in critical infrastructure The U.S. Plus, a U.S.

Infrastructure 52

Infrastructure Groups ChatGPT Generative AI 52

Erik Bernhardsson

APRIL 21, 2015

There’s a bunch of companies working on machine learning as a service. Instead of the negative let’s go through the ways I think a machine learning API can actually be useful (ok full disclosure: I don’t think it’s very many). The resulting model is generally not that useful though – it doesn’t give us any actionable insight.

Machine Learning 112

Machine Learning Artificial Inteligence Off-The-Shelf Cloud 112

Datavail

MARCH 3, 2022

The tools used to gather and investigate data have evolved, too. Today’s advanced technologies provide data analytics programming to understand, learn from, and harness the values hidden deep in those data center depths. The simple gathering of information doesn’t make it intrinsically useful.

Business Analytics 52

Business Analytics Analytics Machine Learning Artificial Inteligence 52

The Accidental Successful CIO

SEPTEMBER 21, 2022

It turns out that it’s hard to find the right people to do machine learning Image Credit: deepak pal. The good news is that there is new technology that is available to allow this to be done: machine learning. The bad news is that this machine learning stuff requires smart people to implement it. In the U.S.,

Artificial Inteligence 52

Artificial Inteligence Machine Learning Artificial Intelligence Banking 52

Openxcell

DECEMBER 18, 2023

Software companies that provide AI app development services use cutting-edge artificial intelligence tools to speed up app delivery, minimize coding needs, and simplify the development process. Adaptive learning is an educational milestone and extremely beneficial for the users it is designed for.

Artificial Inteligence 52

Artificial Inteligence Applications Development Artificial Intelligence 52

Erik Bernhardsson

APRIL 21, 2015

There’s a bunch of companies working on machine learning as a service. Instead of the negative let’s go through the ways I think a machine learning API can actually be useful (ok full disclosure: I don’t think it’s very many). The resulting model is generally not that useful though – it doesn’t give us any actionable insight.

Machine Learning 100

Machine Learning Artificial Inteligence Off-The-Shelf Cloud 100