GET https://rct.dev.bbntimes.com/technology/how-artificial-intelligence-is-impacting-predictive-analysis

Response
200 OK
IP
3.145.90.244
Profiled on
Token
7b0b2d

ArticleController :: show

Request

GET Parameters

None

POST Parameters

None

Uploaded Files

None

Request Attributes

Key Value
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"App\Controller\ArticleController::show"
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_security_firewall_run 
"_security_main"
_stopwatch_token 
"c2aaf3"
category 
"technology"
slug 
"how-artificial-intelligence-is-impacting-predictive-analysis"

Request Headers

Header Value
accept 
"*/*"
accept-encoding 
"gzip, br, zstd, deflate"
connection 
"close"
cookie 
"PHPSESSID=ae2hesk794e9i390ds40d10q44"
host 
"rct.dev.bbntimes.com"
user-agent 
"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)"
x-php-ob-level 
"1"

Request Content

Request content not available (it was retrieved as a resource).

Response

Response Headers

Header Value
cache-control 
"no-cache, private"
content-type 
"text/html; charset=UTF-8"
date 
"Sat, 22 Feb 2025 13:47:00 GMT"
link 
"</build/runtime.js>; rel="preload"; as="script",</build/644.js>; rel="preload"; as="script",</build/502.js>; rel="preload"; as="script",</build/app.js>; rel="preload"; as="script",</build/view-more.js>; rel="preload"; as="script",</build/term-condition.js>; rel="preload"; as="script",</build/contact.js>; rel="preload"; as="script",</build/scroll-infinite-article.js>; rel="preload"; as="script",</build/app.css>; rel="preload"; as="style",</build/cookie-style.css>; rel="preload"; as="style",</build/term-condition-css.css>; rel="preload"; as="style",</build/contact-css.css>; rel="preload"; as="style",</build/comment-css.css>; rel="preload"; as="style""
x-debug-token 
"7b0b2d"

Cookies

Request Cookies

Key Value
PHPSESSID 
"ae2hesk794e9i390ds40d10q44"

Response Cookies

No response cookies

Session 6

Session Metadata

Key Value
Created 
"Sat, 22 Feb 25 13:46:29 +0000"
Last used 
"Sat, 22 Feb 25 13:46:57 +0000"
Lifetime 
0

Session Attributes

Attribute Value
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"DeaQUVunwuWRD0J-zSLS3peCz15nPoYzQVCt2MwleFw"
_csrf/https-cookie_accept 
"GoRXarxNWiFAmWEote3Y8uGqP9BrJZLnX89dz9cwsvA"

Session Usage

6 Usages
Stateless check enabled
Usage
Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:76
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Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:79
Show trace 
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Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:52
Show trace 
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Symfony\Component\Security\Csrf\TokenStorage\SessionTokenStorage:56
Show trace 
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    "function" => "handleRaw"
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    "function" => "run"
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    ]
    "function" => "require_once"
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]
Symfony\Component\Security\Core\Authentication\Token\Storage\UsageTrackingTokenStorage:41
Show trace 
[
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/security-core/Authentication/Token/Storage/UsageTrackingTokenStorage.php"
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    "function" => "getMetadataBag"
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    ]
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]
Symfony\Component\Security\Http\Firewall\ContextListener:171
Show trace 
[
  [
    "file" => "/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/vendor/symfony/security-http/Firewall/ContextListener.php"
    "line" => 171
    "function" => "remove"
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  [
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    "line" => 116
    "function" => "onKernelResponse"
    "class" => "Symfony\Component\Security\Http\Firewall\ContextListener"
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  [
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    "line" => 220
    "function" => "__invoke"
    "class" => "Symfony\Component\EventDispatcher\Debug\WrappedListener"
    "type" => "->"
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  [
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    "function" => "callListeners"
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    "function" => "filterResponse"
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Flashes

Flashes

No flash messages were created.

Server Parameters

Server Parameters

Defined in .env

Key Value
APP_ENV 
"dev"
APP_SECRET 
"0a988e63f011514eaabfc650b599af4d"
CORS_ALLOW_ORIGIN 
"*"
DATABASE_URL 
"mysql://bbndb_rctuser:33F5W25z40or0f7@localhost:3306/rct_bbntimes"
GOOGLE_RECAPTCHA_SECRET_KEY 
"6LdV5fgpAAAAANxzTG8ZMfIjil1wu-1vrQvnUt-x"
GOOGLE_RECAPTCHA_SITE_KEY 
"6LdV5fgpAAAAAENKcn73MJAhQrbtQeqgyC4wDLMP"
MAILER_DSN 
"smtp://no-reply%40rct.dev.bbntimes.com:Bl6%26gLD48%26Of919@rct.dev.bbntimes.com:465"
MARIADB_PASSWORD 
"i!87pK&!85ezc8"

Defined as regular env variables

Key Value
APP_DEBUG 
"1"
BASE 
"/public"
CONTEXT_DOCUMENT_ROOT 
"/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com"
CONTEXT_PREFIX 
""
DOCUMENT_ROOT 
"/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com"
FCGI_ROLE 
"RESPONDER"
GATEWAY_INTERFACE 
"CGI/1.1"
HTTPS 
"on"
HTTP_ACCEPT 
"*/*"
HTTP_ACCEPT_ENCODING 
"gzip, br, zstd, deflate"
HTTP_CONNECTION 
"close"
HTTP_COOKIE 
"PHPSESSID=ae2hesk794e9i390ds40d10q44"
HTTP_HOST 
"rct.dev.bbntimes.com"
HTTP_USER_AGENT 
"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)"
PASSENGER_COMPILE_NATIVE_SUPPORT_BINARY 
"0"
PASSENGER_DOWNLOAD_NATIVE_SUPPORT_BINARY 
"0"
PATH 
"/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/snap/bin"
PHP_SELF 
"/public/index.php"
PP_CUSTOM_PHP_CGI_INDEX 
"plesk-php81-fastcgi"
PP_CUSTOM_PHP_INI 
"/var/www/vhosts/system/rct.dev.bbntimes.com/etc/php.ini"
QUERY_STRING 
""
REDIRECT_BASE 
"/public"
REDIRECT_HTTPS 
"on"
REDIRECT_PASSENGER_COMPILE_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_PASSENGER_DOWNLOAD_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_REDIRECT_HTTPS 
"on"
REDIRECT_REDIRECT_PASSENGER_COMPILE_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_REDIRECT_PASSENGER_DOWNLOAD_NATIVE_SUPPORT_BINARY 
"0"
REDIRECT_REDIRECT_SCRIPT_URI 
"https://rct.dev.bbntimes.com/technology/how-artificial-intelligence-is-impacting-predictive-analysis"
REDIRECT_REDIRECT_SCRIPT_URL 
"/technology/how-artificial-intelligence-is-impacting-predictive-analysis"
REDIRECT_REDIRECT_SSL_TLS_SNI 
"rct.dev.bbntimes.com"
REDIRECT_REDIRECT_STATUS 
"200"
REDIRECT_REDIRECT_UNIQUE_ID 
"Z7nVUriBoyj8JZ8-HGyIGgAAAAQ"
REDIRECT_SCRIPT_URI 
"https://rct.dev.bbntimes.com/technology/how-artificial-intelligence-is-impacting-predictive-analysis"
REDIRECT_SCRIPT_URL 
"/technology/how-artificial-intelligence-is-impacting-predictive-analysis"
REDIRECT_SSL_TLS_SNI 
"rct.dev.bbntimes.com"
REDIRECT_STATUS 
"200"
REDIRECT_UNIQUE_ID 
"Z7nVUriBoyj8JZ8-HGyIGgAAAAQ"
REDIRECT_URL 
"/public/technology/how-artificial-intelligence-is-impacting-predictive-analysis"
REMOTE_ADDR 
"3.145.90.244"
REMOTE_PORT 
"44349"
REQUEST_METHOD 
"GET"
REQUEST_SCHEME 
"https"
REQUEST_TIME 
1740232019
REQUEST_TIME_FLOAT 
1740232019.8468
REQUEST_URI 
"/technology/how-artificial-intelligence-is-impacting-predictive-analysis"
SCRIPT_FILENAME 
"/var/www/vhosts/dev.bbntimes.com/rct.dev.bbntimes.com/public/index.php"
SCRIPT_NAME 
"/public/index.php"
SCRIPT_URI 
"https://rct.dev.bbntimes.com/technology/how-artificial-intelligence-is-impacting-predictive-analysis"
SCRIPT_URL 
"/technology/how-artificial-intelligence-is-impacting-predictive-analysis"
SERVER_ADDR 
"5.196.1.209"
SERVER_ADMIN 
"[no address given]"
SERVER_NAME 
"rct.dev.bbntimes.com"
SERVER_PORT 
"443"
SERVER_PROTOCOL 
"HTTP/1.1"
SERVER_SIGNATURE 
"<address>Apache Server at rct.dev.bbntimes.com Port 443</address>\n"
SERVER_SOFTWARE 
"Apache"
SSL_TLS_SNI 
"rct.dev.bbntimes.com"
SYMFONY_DOTENV_VARS 
"APP_ENV,APP_SECRET,DATABASE_URL,MARIADB_PASSWORD,CORS_ALLOW_ORIGIN,MAILER_DSN,GOOGLE_RECAPTCHA_SECRET_KEY,GOOGLE_RECAPTCHA_SITE_KEY"
UNIQUE_ID 
"Z7nVUriBoyj8JZ8-HGyIGgAAAAQ"

Sub Requests 6

CookieController :: renderAnalysis (token = 0be483)

Key Value
_controller 
"App\Controller\CookieController::renderAnalysis"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"36ec0e"

AppController :: renderHeader (token = f49f31)

Key Value
_controller 
"App\Controller\AppController::renderHeader"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"36a185"
slug 
"home"

ArticleController :: trendingArticle (token = 941fa3)

Key Value
_controller 
"App\Controller\ArticleController::trendingArticle"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"1f4709"
category 
"Technology"

ArticleController :: relatedArticles (token = f85903)

Key Value
_controller 
"App\Controller\ArticleController::relatedArticles"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"80f94d"
current_article 
App\Entity\Article {#1094
  -id: 6287
  -title: "How Artificial Intelligence is Impacting Predictive Analysis"
  -slug: "how-artificial-intelligence-is-impacting-predictive-analysis"
  -introtext: """
    <div id="ember73" class="ember-view">\r\n
    <div class="reader-article-content" dir="ltr">\r\n
    <p>The use of artificial intelligence (AI) for predictive analysis helps organizations in forecasting future outcomes based on historical data, thereby improving the efficiency and outcomes of operations.</p>\r\n
    """
  -content: """
    \r\n
    <p><a href="https://www.sas.com/en_in/insights/analytics/predictive-analytics.html" target="_blank" rel="nofollow noopener">Predictive analytics</a>&nbsp;is the use of data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data. It helps organizations assess what can happen in the future based on the available information, and empower them to make better decisions. Predictive analysis can further be improved by incorporating advanced technologies like artificial intelligence. Today, predictive analysis finds application in almost every industry. In this blog, we will focus on three major sectors, viz., healthcare, education, and e-commerce, and how the use of AI for predictive analysis can benefit them.</p>\r\n
    <h2>Sectors that Can Benefit from Using AI for Predictive Analysis</h2>\r\n
    <p>The use of AI for predictive analytics proves beneficial for a wide range of sectors and industries. Here’s a look at how it will transform major sectors such as healthcare, education, and e-commerce.</p>\r\n
    <div class="slate-resizable-image-embed slate-image-embed__resize-full-width"><img src="https://media-exp1.licdn.com/dms/image/C4E12AQH_6lIH7vFXAA/article-inline_image-shrink_1500_2232/0?e=1597881600&amp;v=beta&amp;t=yzev0_ZvZ55aK4Y1oUkkm6T_byYen0ZpjKfbRQddlk8" alt="Sectors that Can Benefit from Using AI for Predictive Analysis" data-media-urn data-li-src="https://media-exp1.licdn.com/dms/image/C4E12AQH_6lIH7vFXAA/article-inline_image-shrink_1500_2232/0?e=1597881600&amp;v=beta&amp;t=yzev0_ZvZ55aK4Y1oUkkm6T_byYen0ZpjKfbRQddlk8" /></div>\r\n
    <h2>Healthcare</h2>\r\n
    <p>Predictive analytics with AI has multiple applications in the healthcare industry. Predictive analysis can help in the early diagnosis and prognosis of diseases in individuals. Based on historical medical records, a predictive analytical AI tool can help diagnose diseases with higher accuracy. Similarly, it can help doctors determine the best mode of treatment for individuals and pave the way for&nbsp;<a href="https://www.allerin.com/blog/the-role-of-technology-in-precision-medicine" target="_blank" rel="nofollow noopener">precision medicine</a>. Additionally, the use of AI in predictive analytics can help prevent suicides and incidents of self-harm. A predictive AI tool can analyze previous suicide attempts, psychiatric medication cycles, and drug abuse cases of individuals and help in predicting future such instances. Thus, it can help save potential lives as such individuals can be counseled before they take any extreme step. The&nbsp;<a href="https://www.greenlightmedical.com/predictive-and-hospital-supply-chain/" target="_blank" rel="nofollow noopener">healthcare supply chain, too, will benefit heavily from the use of predictive analytics</a>&nbsp;and AI. An analytical solution can help hospitals stock up medicines based on demand history. It also helps cut down on unnecessary expenses and stockpiles.</p>\r\n
    <h2>Education</h2>\r\n
    <p>AI-powered predictive analytics can be used to monitor students’ focus and attention during lectures. It can help assess whether a pupil is disengaged during a lecture. This can help predict the future behavior of the student for similar lectures. Teachers can, therefore, counsel such students at an early stage to motivate them. If a large section of students seems disengaged in a particular class, adaptive learning methods can be employed to bridge the learning gap and improve students’ engagement in the classroom.</p>\r\n
    <h2>E-Commerce&nbsp;</h2>\r\n
    <p>The e-Commerce market is going to be one of the biggest beneficiaries of AI and predictive analytics. An analytical tool can be used to analyze a customer’s searches and buying history. Based on this data, the customer can be provided with product recommendations, which has a high chance of sales conversion. Similarly, the tool can also help in understanding the marketing method preferred by the customer. For instance, a customer may prefer watching videos about new products rather than a photo description or text notification. Hence, the individual can be shown only video advertisements about future products.</p>\r\n
    <p>Predictive analytics is transforming multiple sectors and in big ways. Having a predictive analytics solution has become necessary if organizations need to iron out efficiencies in their operations and better plan for the future. And the addition of AI for predictive analysis is like icing on the cake. It’s like having a crystal ball that can help you not only predict the future but also shape it the way you want it to be.</p>\r\n
    </div>\r\n
    </div>
    """
  -user: Proxies\__CG__\App\Entity\User {#1092 …}
  -createdAt: DateTime @1592296976 {#1145
    date: 2020-06-16 08:42:56.0 UTC (+00:00)
  }
  -updatedAt: DateTime @1592297066 {#1150
    date: 2020-06-16 08:44:26.0 UTC (+00:00)
  }
  -deletedAt: null
  -category: App\Entity\Category {#445 …}
  -status: "published"
  -imageCard: Proxies\__CG__\App\Entity\File {#1184 …}
  -ImageHeader: Proxies\__CG__\App\Entity\File {#1184 …}
  -featured: false
  -mainView: false
  -clicks: 3307
  -comments: Doctrine\ORM\PersistentCollection {#1125 …}
  -reviewed_at: DateTime @1592296976 {#1148
    date: 2020-06-16 08:42:56.0 UTC (+00:00)
  }
  -metakey: "predictive analytics"
  -metadesc: "The use of artificial intelligence (AI) for predictive analysis helps organizations in forecasting future outcomes based on historical data, thereby improving the efficiency and outcomes of operations."
  -robots: null
  -publishedAt: DateTime @1592296976 {#1147
    date: 2020-06-16 08:42:56.0 UTC (+00:00)
  }
  -canonical: null
  -superTag: null
}

AppController :: renderFooter (token = 791ad4)

Key Value
_controller 
"App\Controller\AppController::renderFooter"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"b34336"

CookieController :: renderCookie (token = 5fd397)

Key Value
_controller 
"App\Controller\CookieController::renderCookie"
_format 
"html"
_locale 
"en"
_stopwatch_token 
"423981"