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Technical data of the practicalanalytics.co

Geo IP provides you such as latitude, longitude and ISP (Internet Service Provider) etc. informations. Our GeoIP service found where is host practicalanalytics.co. Currently, hosted in United States and its service provider is Automattic Inc .

HTTP Header Analysis

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skip to content about business analytics 3.0 blogs business analytics 101 executing analytics 101 netke predictive analytics 101 analytics big data data driven business models data economy managed analytics market data social media analytics wearable computing bi coe outsource business intelligence data integration & quality data mining data warehousing mobile bi roi data visualization fintech internet of things machine learning recent articles subscribe 20 nov fintech in 2017: risk management takes center stage a day in the life of the gentleman banker was once described by the 3-6-3 rule – accept deposits at three percent, loan money at six percent and tee off at the golf course at 3 p.m. the financial services industry can rightfully state that it has come a long way since then. it has implemented technological innovation and managed risk in a constantly changing economic environment over several decades. the gentleman banker has since evolved into a sophisticated financial risk manager who works within a complex framework of rules and regulations with tens of trillions of dollars of assets under management. fintechs have moved at a much faster pace than banks in some areas. they have disrupted the financial services industry with user-centric solutions enabled by technology. these solutions emulate products and services offered by financial institutions. however, these remarkable examples of innovation have largely ignored the elephant in the room – regulation. read more share this: twitter email facebook linkedin google print more reddit like this: like loading... 10 may applied machine learning and ai @ facebook “facebook today cannot exist without ai . every time you use facebook or instagram or messenger, you may not realize it, but your experiences are being powered by ai.” — joaquin candela, facebook’s applied ml team leader ——————— “machine learning is a core transformative way by which we are rethinking everything we are doing. google brain is the way we are embedding this in everything we do.” sundar pichai (ceo google) ——————— salesforce ceo marc benioff said at a recent conference : “ this [ai, ml] is a huge shift going forward, which is that everybody wants systems that are smarter, everybody wants systems that are more predictive, everybody wants everything scored, everybody wants to u nderstand what’s the next best offer, next best opportunity, how to make things a little bit more efficient.” machine learning (ml), deep learning and ai powering “systems that learn at scale” are at the bleeding edge of data science, deep learning and predictive search today. every market leader is jumping on this ai enabled engagement trend in retail, banking and healthcare. machine learning is central to facebook’s future. creating the extreme personalized experience (“individual equation based on 1000s of attributes – your preferences, predilections, conversations and transactions “) is the killer app. facebook – ai/ml case study facebook is a bleeding edge case study of where ai/ml are being used to augment user engagement and experiences. i am starting to see many leading firms investing in ml accelerators and platforms as part of their data science strategy. read more share this: twitter email facebook linkedin google print more reddit like this: like loading... 27 apr chief data officer role & challenges big data has been replaced by machine learning and ai as the next “must have” trend. machine learning has caught the attention of venture capitalists. chief data officers, chief analytics officers, chief data science officers and chief digital officers are everywhere. the job is to leverage the latest in predictive analytics, data science, machine learning, and multi-tenant cloud architecture to bring innovation to traditional processes. this is a pivotal moment in data driven business models (“systems that learn”) but there is no getting around the inherent difficulties associated with either altering organizational behavior, data ownership politics or managing transformation of the data infrastructure. and while the challenges are real, many firms are getting closer to achieving a data science and data management environment. what are data and analytics officers overseeing… a variety of foundational & plumbing strategies: data-as-a-service: data provisioning, management, lineage, quality reporting-as-a-service: dashboards, kpis, drilldowns/aggregates…. descriptive analytics-as-a-service: predictive modeling and bi… prescriptive analytics information-as-a-service: threshold based alerts, exceptions, mobile prompts insights-as-a-service: ml/ai based “systems that learn”…automated learning – augmented intelligence, next best offer/action at core of all these, data management and data science tools are core technical and business capabilities. some firms are more mature and further along than others. why mature data management as a function organizations live or die by the quality of their data. data is an underlying factor of input into business operations and essential in order to facilitate process automation, digitize operations, support financial engineering and enhance customer facing analytical capabilities. an effective data management program requires a planned strategic effort integrate multi-discipline efforts inculcate a shared vision and understanding data is a ‘thing’ – vital infrastructure element foundation of the n-tier architecture not a project, more than a program…it’s part of the core foundation there is no question about it – the foundational levels of people, process, governance and technology required to establish data management on a sustainable basis are coming together under the cdo umbrella. what does a chief data officer (cdo) do? read more share this: twitter email facebook linkedin google print more reddit like this: like loading... 20 mar robotic process automation + analytics “looking to the future, the next big step will be for the very concept of the “device” to fade away. over time, the computer itself—whatever its form factor—will be an intelligent assistant helping you through your day. we will move from mobile first to an ai first world.” — sundar pichai, ceo google a global oil and gas company has trained software robots to help provide a prompt and more efficient way of answering invoicing queries from its suppliers. a large us-based media services organization taught software robots how to support first line agents in order to raise the bar for customer service. software agents or robotic process automation (rpa) is becoming a mainstream topic at leading corporations. i have seen a massive uptick in corporate strategy work in this area as c-suite execs look at new ways to do more with less. software robots ∼ conversational-ai products like apple siri, microsoft cortana, ibm watson, google home, alexa, drones and driverless cars ∼ are now mainstream. what most people are not aware of is the rapidly advancing area of enterprise robots to create a “virtual fte workforce” and transform business processes by enabling automation of manual, rules based, back office administrative processes. this emerging process re-engineering area is called robotic process automation (rpa). machine learning (ml) and graph processing are becoming foundations for the next wave of advanced analytics use cases. speech recognition, image processing, language translation have gone from a demo tech to everyday use in part because of machine learning. machine learning models, e.g., in driverless cars, teaches itself how to discover relevant things like a stop sign with snow partially obscuring the sign. the market opportunity of artificial intelligence has been expanding rapidly, with analyst firm idc predicting that the worldwide content analytics, discovery and cognitive systems software market will grow from us$4.5 billion in 2014 to us$9.2 billion in 2019, with others citing these systems as catalyst to have a us$5 tr

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Whois Information

Whois is a protocol that is access to registering information. You can reach when the website was registered, when it will be expire, what is contact details of the site with the following informations. In a nutshell, it includes these informations;

Domain Name: practicalanalytics.co
Registry Domain ID: D69619762-CO
Registrar WHOIS Server:
Registrar URL: www.wildwestdomains.com
Updated Date: 2017-08-31T08:44:04Z
Creation Date: 2015-10-01T19:03:15Z
Registry Expiry Date: 2018-09-30T23:59:59Z
Registrar: Wild West Domains, Inc.
Registrar IANA ID: 440
Registrar Abuse Contact Email: [email protected]
Registrar Abuse Contact Phone: +1.4806242505
Domain Status: clientDeleteProhibited https://icann.org/epp#clientDeleteProhibited
Domain Status: clientUpdateProhibited https://icann.org/epp#clientUpdateProhibited
Domain Status: clientRenewProhibited https://icann.org/epp#clientRenewProhibited
Domain Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited
Registry Registrant ID:
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Registrant Organization:
Registrant Street:
Registrant Street:
Registrant Street:
Registrant City:
Registrant State/Province: California
Registrant Postal Code:
Registrant Country: US
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Registrant Email: Please query the RDDS service of the Registrar of Record identified in this output for information on how to contact the Registrant, Admin, or Tech contact of the queried domain name.
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Admin Email: Please query the RDDS service of the Registrar of Record identified in this output for information on how to contact the Registrant, Admin, or Tech contact of the queried domain name.
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Tech Email: Please query the RDDS service of the Registrar of Record identified in this output for information on how to contact the Registrant, Admin, or Tech contact of the queried domain name.
Name Server: ns1.wordpress.com
Name Server: ns2.wordpress.com
DNSSEC: unsigned
URL of the ICANN Whois Inaccuracy Complaint Form: https://www.icann.org/wicf/
>>> Last update of WHOIS database: 2018-08-29T00:41:42Z <<<

For more information on Whois status codes, please visit https://icann.org/epp

The above WHOIS results have been redacted to remove potential personal data. The full WHOIS output may be available to individuals and organisations with a legitimate interest in accessing this data not outweighed by the fundamental privacy rights of the data subject. To find out more, or to make a request for access, please visit: RDDSrequest.nic.co.

.CO Internet, S.A.S., the Administrator for .CO, has collected this information for the WHOIS database through Accredited Registrars. This information is provided to you for informational purposes only and is designed to assist persons in determining contents of a domain name registration record in the .CO Internet registry database. .CO Internet makes this information available to you "as is" and does not guarantee its accuracy.

By submitting a WHOIS query, you agree that you will use this data only for lawful purposes and that, under no circumstances will you use this data: (1) to allow, enable, or otherwise support the transmission of mass unsolicited, commercial advertising or solicitations via direct mail, electronic mail, or by telephone; (2) in contravention of any applicable data and privacy protection laws; or (3) to enable high volume, automated, electronic processes that apply to the registry (or its systems). Compilation, repackaging, dissemination, or other use of the WHOIS database in its entirety, or of a substantial portion thereof, is not allowed without .CO Internet's prior written permission. .CO Internet reserves the right to modify or change these conditions at any time without prior or subsequent notification of any kind. By executing this query, in any manner whatsoever, you agree to abide by these terms. In some limited cases, domains that might appear as available in whois might not actually be available as they could be already registered and the whois not yet updated and/or they could be part of the Restricted list. In this cases, performing a check through your Registrar's (EPP check) will give you the actual status of the domain. Additionally, domains currently or previously used as extensions in 3rd level domains will not be available for registration in the 2nd level. For example, org.co,mil.co,edu.co,com.co,net.co,nom.co,arts.co, firm.co,info.co,int.co,web.co,rec.co,co.co.

NOTE: FAILURE TO LOCATE A RECORD IN THE WHOIS DATABASE IS NOT INDICATIVE OF THE AVAILABILITY OF A DOMAIN NAME. All domain names are subject to certain additional domain name registration rules. For details, please visit our site at www.cointernet.co .


  REFERRER http://www.cointernet.com.co/

  REGISTRAR .CO Internet, S.A.S.

SERVERS

  SERVER co.whois-servers.net

  ARGS practicalanalytics.co

  PORT 43

  TYPE domain

DOMAIN

  NAME practicalanalytics.co

  HANDLE D69619762-CO

  CREATED 2000-10-01

STATUS
clientDeleteProhibited https://icann.org/epp#clientDeleteProhibited
clientUpdateProhibited https://icann.org/epp#clientUpdateProhibited
clientRenewProhibited https://icann.org/epp#clientRenewProhibited
clientTransferProhibited https://icann.org/epp#clientTransferProhibited

NSERVER

  NS1.WORDPRESS.COM 198.181.116.9

  NS2.WORDPRESS.COM 198.181.117.9

OWNER

ADDRESS

  STATE California

  COUNTRY US

  EMAIL Please query the RDDS service of the Registrar of Record identified in this output for information on how to contact the Registrant, Admin, or Tech contact of the queried domain name.

ADMIN

  EMAIL Please query the RDDS service of the Registrar of Record identified in this output for information on how to contact the Registrant, Admin, or Tech contact of the queried domain name.

TECH

  EMAIL Please query the RDDS service of the Registrar of Record identified in this output for information on how to contact the Registrant, Admin, or Tech contact of the queried domain name.

  REGISTERED yes

Mistakes

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