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. Sentiment Analysis for social media monitoring Sentiment analysis is crucial in monitoring social media platforms.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

AWS Machine Learning - AI

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. In addition to awareness, your teams should take action to account for generative AI in governance, assurance, and compliance validation practices.

Artificial Inteligence 126

Artificial Inteligence Generative AI Security Applications 126

Cloudera

MAY 28, 2019

Gartner states that “By 2022, 75% of new end-user solutions leveraging machine learning (ML) and AI techniques will be built with commercial instead of open source platforms” ¹. Spoiler alert: it’s not because data scientists will stop relying on open source for the latest innovation in ML algorithms and development environments.

Compliance 50

Compliance Innovation Meeting Industry 50

Altexsoft

FEBRUARY 11, 2023

The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority.

Data 87

Data Data Engineering Big Data Architecture 87

CTOvision

MAY 6, 2015

Digital Reasoning is the maker of the mission-focused analytics software platform, Synthesys®, a solution used in government agencies to uncover security threats and enable intelligence analysts to find and act on critical relationships in big data. We are very pleased to have Digital Reasoning as a sponsor of the Synergy forum.

Analytics 91

Analytics Software Review Software Systems Review 91

Altexsoft

JUNE 2, 2020

What Is Machine Learning and How Is it Used in Cybersecurity? 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. Some can even automatically respond to threats.

Artificial Inteligence 93

Artificial Inteligence Examples Applications Machine Learning 93

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. Building an AI or machine learning model is not a one-time effort.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

CTOvision

NOVEMBER 13, 2015

Identity & access intelligence (IAI) and user behavior analytics (UBA) use machine learning and predictive anomaly detection algorithms to identify and prevent breaches. Data science for security data volume. Sqrrl Data, Inc. – The Big Data company that enables more powerful cyber security investigations.

Innovation 111

Innovation Network Machine Learning Artificial Inteligence 111

AWS Machine Learning - AI

AUGUST 13, 2024

The Lambda function is responsible for processing the new form data. The extracted raw text is then passed to Step 3B for further processing and analysis. Data Architect, Data Lake at AWS. Harpreet Cheema is a Machine Learning Engineer at the AWS Generative AI Innovation Center.

Healthcare 106

Healthcare Artificial Inteligence Analysis Lambda 106

CTOvision

OCTOBER 6, 2015

Identity & access intelligence (IAI) and user behavior analytics (UBA) use machine learning and predictive anomaly detection algorithms to identify and prevent breaches. Data science for security data volume. Sqrrl Data, Inc. – The Big Data company that enables more powerful cyber security investigations.

Company 115

Company Big Data Government Innovation 115

Altexsoft

AUGUST 29, 2023

It is a versatile platform for exploring, refining, and analyzing petabytes of information that continually flow in from various data sources. Who needs a data lake? If the intricacies of big data are becoming too much for your existing systems to handle, a data lake might be the solution you’re seeking.

Architecture 52

Architecture Data Storage Machine Learning 52

OTS Solutions

MAY 2, 2023

Artificial intelligence and machine learning: Artificial and machine learning are critical technologies in digital transformation. They enable businesses to analyze the vast amount of data in real time, identify patterns and insights, and automate repetitive processes.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Technical Review 130

O'Reilly Media - Data

APRIL 3, 2018

We are in the midst of a “data revolution,” where individuals and organizations can store and analyze massive amounts of information. Working with large databases, new analytical tools, and data-enabled methods promises to bring many benefits to society. These issues have also been a topic of discussion at multiple recent workshops.

Artificial Inteligence 121

Artificial Inteligence Data Technical Review Artificial Intelligence 121

CloudSphere

AUGUST 10, 2023

Spearheading this change are advanced technologies like: Artificial intelligence (AI) Machine learning Automation Analytics How Tech Is Transforming HR As these technologies become pervasive within organizations worldwide, HR will have the opportunity to leverage them more and more.

Technical Review 52

Technical Review Technology Artificial Inteligence Recruiting 52

CTOvision

FEBRUARY 18, 2014

By Bob Gourley Data Science Powered CloudSOC™ Solution Enables Security for Cloud Applications and Services by Providing Transaction Visibility, Threat Detection, Controls and Forensics Analysis. Elastica applies machine learning technology to provide in depth visibility and controls for a broad range of cloud applications.

Applications 109

Applications .Net Cloud Machine Learning 109

Xebia

MARCH 10, 2021

Data Science and Advanced Analytics encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large data sets [1]. The focus of data science is on improving decision making through the analysis of data [1].

DevOps 130

DevOps Data Analytics Policies 130

Hu's Place - HitachiVantara

SEPTEMBER 4, 2018

When one considers the data explosion being accelerated by Big Data, IoT, the increasing use of meta data, and AI/Machine learning, it is not surprising that storage capacity should be our greatest concern. You’ve heard analysts say that data is the new oil that fuels digital transformation.

Storage 53

Storage Performance IoT Machine Learning 53

Cloudera

MAY 22, 2018

Access any data anywhere – from cloud object storage to data warehouses, CDSW provides connectivity not only to CDH but the systems your data science teams rely on for analysis. This leads to wasted time and effort during research and collaboration or, worse, compliance risk. or higher 5.x or higher 5.x

Data 42

Data Load Balancer Machine Learning Artificial Inteligence 42

TechCrunch

JULY 12, 2021

to bring big data intelligence to risk analysis and investigations. Quantexa’s machine learning system approaches that challenge as a classic big data problem — too much data for a human to parse on their own, but small work for AI algorithms processing huge amounts of that data for specific ends.

Big Data 257

Big Data Tools Data Healthcare 257

Cloudera

SEPTEMBER 7, 2018

The Insider Threat Detection Solution leverages Cloudera Enterprise together with Accenture’s Aspire Content Processing and Analysis technology and fraud detection consulting expertise to devise a faster, stronger and smarter anti-insider threat system.

Machine Learning 51

Machine Learning Artificial Inteligence Scalability Analytics 51

Palo Alto Networks

APRIL 23, 2020

Any truly complete approach to MDR should rely on technologies providing behavioural threat analysis, using techniques that include machine learning, artificial intelligence and human intelligence. Anup has a rich background of working in the cybersecurity industry, and has specialized in the risk and compliance domain.

Artificial Inteligence 55

Artificial Inteligence Artificial Intelligence Technical Review Machine Learning 55

Praxent

APRIL 29, 2021

After many years of emphasizing productivity and compliance more than invention, many traditional financial service institutions now seek out financial technology capability in the form of fintech incubators and partnerships. Financial Institutions Seek More Involvement in Fintech Innovation. jumped 54%, to $26.1

Fintech 52

Fintech Innovation Artificial Inteligence Banking 52

Altexsoft

APRIL 23, 2021

This data is an inevitable part of a cohesive ecosystem known as the Internet of Medical Things (IoMT). We’ve already addressed the subject of IoMT in our article devoted to the role of Big Data in healthcare. Modern platforms employ many technologies such as cloud computing, databases, and big data processing modules.

Healthcare 64

Healthcare Internet IoT Systems Review 64

Hacker Earth

MARCH 29, 2018

Automation of more complex tasks (other than compliance checks or data entry) such as property assessment and personalized consumer interactions over the years has brought frictionless experiences and cut down redundancy. AI algorithms can save millions lost to fraudulent claims by scouring data and identify errors and trends.

Insurance 48

Insurance Industry Technology Artificial Inteligence 48

Linux Academy

APRIL 9, 2019

AWS Certified Big Data. AWS Certified Machine Learning. Understanding of security concepts with hands-on experience in implementing security controls and compliance requirements. Implement and automate security controls, governance processes, and compliance validation. AWS Certified Machine Learning.

AWS 60

AWS DevOps Architecture Scalability 60

Cloudera

AUGUST 31, 2021

While this “data tsunami” may pose a new set of challenges, it also opens up opportunities for a wide variety of high value business intelligence (BI) and other analytics use cases that most companies are eager to deploy. . Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis.

Data 86

Data Analytics Cloud Technical Review 86

Altexsoft

JUNE 11, 2021

Process mining is a set of techniques for the analysis of operational processes based on event logs extracted from company’s databases, information systems, or business management software such as enterprise resource planning (ERP), customer relationship management (CRM), electronic health records (EHR), etc. What is process mining?

Applications 69

Applications Weak Development Team Software Review Systems Review 69

John Snow Labs

AUGUST 7, 2024

The journey of Generative AI in healthcare began in the century building upon the progress made in artificial intelligence (AI) and machine learning (ML). Initially its applications were modest focusing on tasks like pattern recognition in imaging and data analysis.

Generative AI 59

Generative AI Healthcare Artificial Inteligence Technical Review 59

Altexsoft

SEPTEMBER 9, 2022

In data science , metadata is one of the central aspects: It describes data (including unstructured data streams) fed into a big data analytical platform, capturing, for example, formats, file sizes, source of information, permission details, etc. Types of metadata. There are multiple ways to categorize metadata.

Tools 59

Tools Technical Review Software Review Systems Review 59

Altexsoft

FEBRUARY 8, 2021

To support the planning process, predictive analytics and machine learning (ML) techniques can be implemented. We have previously described demand forecasting methods and the role of machine learning solutions in a dedicated article. Comparison between traditional and machine learning approaches to demand forecasting.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

John Snow Labs

JUNE 1, 2023

The impact of Natural Language Processing in everyday life is hard to ignore as it is the main driver of emerging technologies like Robotics, Big Data, Internet of Things, etc. It enables machines to process massive amounts of data and make informed decisions. Detecting ADE-related texts with a high degree of accuracy.

Healthcare 52

Healthcare Software Review Systems Review Technical Review 52

Existek

OCTOBER 22, 2021

Even if someone has been doing it for the whole month, they won’t receive any valuable insights on their spending habits without the proper analysis. They are legal compliance and possible risks. Such applications process very sensitive data, so developers should approach the question of security seriously. Backend Development.

Fintech 52

Fintech Software Review Technical Review UI/UX 52

Existek

JANUARY 11, 2022

It might be challenging as it requires a detailed analysis of the business-specific needs and a deeper understanding of the overall market situation. . Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. Machine learning.

Azure 52

Azure AWS Cloud How To 52

Mobilunity

MAY 3, 2024

Understanding the Role of a Fintech Data Engineer Fintech developers for hire are in charge of setting up the systems that create data, getting data ready for predictive and prescriptive models, and making sure that analysts, data scientists, and decision-makers within the company can access and use that data.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

John Snow Labs

FEBRUARY 29, 2024

The journey of Generative AI in healthcare began in the century building upon the progress made in artificial intelligence (AI) and machine learning (ML). Initially its applications were modest focusing on tasks like pattern recognition in imaging and data analysis.

Generative AI 40

Generative AI Healthcare Artificial Inteligence Technical Review 40

Gorilla Logic

OCTOBER 2, 2019

Regardless of whether your goal is to simply track data and control devices, or you aim to combine IoT with big data, artificial intelligence (AI), and machine learning to create a truly connected enterprise and transform your business model, you’re likely to encounter challenges. Complexity. Codependencies.

UI/UX 9

UI/UX Artificial Inteligence Enterprise IoT 9

CIO

JULY 13, 2022

Much of the hype around big data and analytics focuses on business value and bottom-line impacts. Data makes the most ambitious and even idealistic goals—like making the world a better place—possible. The public sector has a massive, growing asset at its disposal for tackling these and other pressing issues: data.

Data 246

Data eBook Culture Government 246