Altexsoft

JANUARY 14, 2022

Tasks that do not need specialized knowledge or insight are excellent fits for RPA. This is in contrast to cognitive automation , where technology needs a knowledge base and brings context and other human-like attributes to task execution. However, data volumes remain a challenge. There’s hardly any time left for analysis.

Technical Review 111

Technical Review Storage Analytics Systems Review 111

OverOps

NOVEMBER 13, 2018

Sure, AI and ML give tools predictive capabilities, but if they rely on historical data for a knowledge-base then they can only predict events based on data that’s been routinely collected. For these kinds of performance metrics, AIOps tools can be instrumental in proactively identifying slowdowns and other performance concerns.

Artificial Inteligence 145

Artificial Inteligence Tools Machine Learning Artificial Intelligence 145

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. Some of these metrics include CPU use, memory use, disk space use, and network bandwidth.

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. One of the best ways your teams can identify incidents proactively is to monitor and analyze different performance metrics.

Artificial Inteligence 52

Artificial Inteligence Metrics Systems Review Machine Learning 52

Modus Create

FEBRUARY 3, 2021

Establish a knowledge base for each product. Step 2 – Build Dynamic Reports and Graphs with Live Analytics. The Modus Create team ran with this new ability and created a list of different visual reports and charts, based on a variety of customer interaction and uptime analytics on respective product home pages.

Knowledge Base 98

Knowledge Base Tools Analytics Groups 98

Exadel

OCTOBER 11, 2022

There’s a wide range of knowledge required for software testing engineers, which can be broken down into hard and soft skills. Hard skills include a technical set of knowledge – specifically a software testing knowledge base that distinguishes a tester from other IT specialists. Follow Us on LinkedIn.

Testing 52

Testing Quality Assurance Knowledge Base Guidelines 52

Trigent

JULY 18, 2022

Managed service providers or MSPs can deliver result-based outcomes thanks to the advanced analytics and reporting they continuously leverage to measure the impact of technologies. It is now more important than ever to ensure that the speed of application deployments aligns with the speed of development. Let’s talk!

Technical Review 94

Technical Review Development Team Review Systems Review IoT 94

Tenable

JANUARY 20, 2023

The guide, first published in mid-2021, now also establishes more parity between the matrices for industrial control systems, mobile and enterprise, and addresses analytical biases and mapping mistakes. The project, called the CISA Advanced Analytics Platform for Machine Learning (CAP-M), will be carried out by CISA and the U.S.

Software Review 63

Software Review Artificial Inteligence SDLC Technical Review 63

OverOps

NOVEMBER 13, 2018

Sure, AI and ML give tools predictive capabilities, but if they rely on historical data for a knowledge-base then they can only predict events based on data that’s been routinely collected. For these kinds of performance metrics, AIOps tools can be instrumental in proactively identifying slowdowns and other performance concerns.

Artificial Inteligence 124

Artificial Inteligence Tools Machine Learning Artificial Intelligence 124

Openxcell

JULY 6, 2023

Analytical CRM With an analytical CRM, you can collect data, insights, and information, which will enable you to make informed decisions and drive business growth. Examples of analytical CRM include Zoho , Insightl y, and Bitrix24. Analytical CRM features: Online analytical processing: Organize large datasets simultaneously.

Software Review 52

Software Review Software Development Systems Review 52

Ivanti

JUNE 24, 2021

Organizations are no longer assessed based only on traditional metrics such as financial performance, or even the quality of their products or services. Better analytics and reporting: Today’s HRSM tools are also pre-built with on-demand analytics that provide meaningful operational data and help drive accountability.

Organization 54

Organization Budget Knowledge Base Enterprise 54

Xicom

MARCH 6, 2023

What types of analytics can I use to improve my mobile app? You should also create a self-service option with a knowledge base of FAQs and tutorials so users can find answers on their own. To ensure that your push notifications are effective, use analytics to track user interactions with them and make adjustments as needed.

Mobile 52

Mobile Analytics Media Social 52

Apiumhub

APRIL 27, 2021

Raw data must be cleansed and formatted to be useful in different analytic methods. Clustering Clustering is an analytics technique that relies on visual approaches to understanding data. Clustering mechanisms use graphics to show where the distribution of data is in relation to different types of metrics.

Artificial Inteligence 103

Artificial Inteligence Data Machine Learning Artificial Intelligence 103

Altexsoft

MARCH 24, 2021

Medicine and drug data APIs connect health systems and apps to publicly available FDA data, descriptions of drugs and supplements, pharmaceutical knowledge bases, standard terminology, and more. HealthTap APIs: mix of real-time chats, Big Data analytics, and prepared answers from doctors. What can you build with the API?

Tools 69

Tools Healthcare Insurance Video 69

Perficient

APRIL 3, 2023

If you suspect that your current customer journeys often do not complete as planned unless your customers get help from one of your employees, consider implementing omnichannel analytics using an AI-powered enterprise search tool such as Coveo or a CDP such as Twilio Segment. Finally, don’t make your customers follow up.

Report 52

Report Trends Knowledge Base Social 52

AWS Machine Learning - AI

DECEMBER 6, 2023

To create AI assistants that are capable of having discussions grounded in specialized enterprise knowledge, we need to connect these powerful but generic LLMs to internal knowledge bases of documents. This is especially true for questions that require analytical reasoning across multiple documents.

Artificial Inteligence 98

Artificial Inteligence Analytics Knowledge Base Lambda 98

Altexsoft

AUGUST 19, 2022

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Multiple studies continuously demonstrate the superiority of analytics-based organizations (e.g., Gartner’s 2022 Magic Quadrant for Analytics and Business Intelligence Platforms.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

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. You might find out that it’s not sufficient for your analytical needs. Types of metadata.

Tools 59

Tools Technical Review Software Review Systems Review 59

Altexsoft

JULY 15, 2022

Reporting and analytics. The rule of thumb here is that the metric should stay below 50 days ; and. By monitoring these metrics, the practice stays informed about the financial situation and can take timely action to improve it. The PM system bundle includes scheduling, billing, payment processing , and analytics.

Software Review 52

Software Review Software Technical Review Systems Review 52

Kentik

MARCH 13, 2018

Kentik has made wide use of the Sankey visualization type in our Kentik Detect® network traffic analysis platform, starting first with our Peering Analytics feature in 2015, and then later as a general purpose visualization type in the Data Explorer. Check out our Knowledge Base article for details on Custom Dimensions.)

Data Center 40

Data Center Knowledge Base Network Groups 40

Altexsoft

JUNE 21, 2019

Analytics – metrics and reports about business, customers, and employees. You can manually or automatically ping currently browsing users, provide templates for frequently asked questions, sometimes even source information about them from Facebook and automatically add to your CRM and analytics tool. Reports and analytics.

Travel 89

Travel Systems Review System Hotels 89

Kentik

SEPTEMBER 20, 2016

To gather the metrics required to truly understand performance, a monitoring tool must look at one of the most important and widely used layers in the OSI model: transport. These metrics include: retransmits, out-of-order packets, fragments, and even server/client/application latency statistics. TCP is the key.

Network 40

Network Performance Metrics Transportation 40

Kentik

OCTOBER 2, 2017

While Kentik addresses use cases across monitoring, alerting, analytics, and planning, organizations will likely always encounter specific scenarios that aren’t totally handled by any one tool or system. To see the full variety of the calls that are available you can refer to our Knowledge Base, which covers both Admin APIs and the Query API.

Open Source 40

Open Source Metrics Network System 40

Kentik

MAY 16, 2016

Information stored in KDE can be utilized for a variety of use cases, including network traffic engineering, Distributed Denial of Service (DDoS) detection, BGP traffic analytics, network planning, and infrastructure security monitoring. Choose a metric: Bits Per Second. Choose a dimension: Total Traffic. Source Country. Source City.

PHP 40

PHP Metrics Network Data 40

The Cipher Brief

JUNE 2, 2021

Priority Metrics. It requires investigative techniques, combined with advanced analytical tooling, to identify the systems which pose risk. Established analytical approaches include: Risk Assessment. The UK government is blessed by analytical talent. Information flow. Relationships are often informal or opaque.

Organization 35

Organization Journal Government Artificial Inteligence 35

Kentik

OCTOBER 3, 2016

Addressing the visibility gaps left by legacy appliances in centralized data centers, Kentik NPM uses lightweight software agents to gather performance metrics from real traffic wherever application servers are distributed across the Internet. We have an extensive knowledge base, so many people can do that themselves.

Big Data 40

Big Data Internet Network Performance 40

BPM

JANUARY 18, 2019

Allowing organizations to inject knowledge-based decisions services that are traceable, auditable and explainable into the process fabric of their operations. Companies will start demanding that their investments in Predictive Analytics, Machine Learning and AI show a real ROI. James Taylor Decision Management Solutions [link].

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Codegiant

NOVEMBER 9, 2020

Not cloud-based. No analytics on the end-to-end deployment cycle. It is a knowledge base or wiki that stores and organizes all of the different projects’ information assets. Mixpanel Mixpanel is an analytic and user-behavior-centric platform for both web and mobile users. Pros Robust event-based analytics.

Software Review 64

Software Review Tools Weak Development Team Development 64

Altexsoft

AUGUST 27, 2022

One of the leading instruments to construct large-scale knowledge graphs and explore novel targets with deep learning is QIAGEN Biomedical Knowledge Base. An example of a biomedical knowledge graph. Source: Drug target discovery using knowledge graph embeddings. Real-life examples.

Artificial Inteligence 52

Artificial Inteligence Chemicals Technical Review Research 52

Codegiant

NOVEMBER 9, 2020

Not cloud-based. No analytics on the end-to-end deployment cycle. It is a knowledge base or wiki that stores and organizes all of the different projects’ information assets. ” Mixpanel Mixpanel is an analytic and user-behavior-centric platform for both web and mobile users. A steep learning curve.

Software Review 52

Software Review Weak Development Team Tools Development 52

Kentik

SEPTEMBER 5, 2017

For a closer look at how this is achieved, check out the Interface Classification article in our Knowledge Base. Interface classifications may be accessed here in two forms: Group-by dimensions (sidebar Query pane): Set the combination of fields that define a set of traffic that can be counted (by metric) and ranked.

Transportation 40

Transportation Network Analysis Groups 40

Altexsoft

APRIL 24, 2019

Approaches to dynamic pricing: Rule-based vs machine learning. A rule-based system operates using a knowledge base containing rules – facts about a problem based on domain expert knowledge. Starwood Hotels (is a part of Marriott since 2016) uses data analytics to match room prices with current demand.

Machine Learning 73

Machine Learning Artificial Inteligence Software Review Retail 73

Codegiant

JULY 10, 2020

Data charts and key metrics. Features: Dynamic reports and analytics. Knowledge bases. Powerful reporting and analytics. Advanced analytics. Smartsheet gives you a granular look into your projects so you can explicitly see the next steps that need to be taken care of. Features: Easy-to-use widgets.

Software Review 52

Software Review UI/UX Project Management Technical Review 52