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Test Number : 1Z0-542
Test appellation : Oracle Enterprise Content Management(R) Essentials
Vendor appellation : Oracle
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a distinguished deal has been pointed out about cognitive technologies, which encompass artificial intelligence (AL), laptop studying (ML), herbal language processing (NLP), robotic manner automation, and rule-based mostly or professional programs. a entire lot concern—of robot overlords taking over the realm (and their brains)—has likewise been raised on the identical time. Tad chum’s article “How nervous may soundless They breathe of A.I.?” (the brand new Yorker, may additionally 14, 2018), for example, explored the concern ingredient in particulars. Then there's Kashyap Vyas’s “7 techniques AI Will support Humanity, now not harm It” (enjoyable Engineering, December 3, 2018) providing a totally several line of thought.

For India’s digital solutions vendors, the software of AI and NLP has been ongoing for years, essentially to accelerate inner production strategies and meet the publishing industry’s demands for sooner, more cost-effective, and shorter turnaround time. From sifting during the giant extent of incoming content material to flagging content material and manner anomalies, AI/NLP has been critical.

A Boon to the Editorial system

In STM publishing, above all, AI is being used easily for editorial capabilities. “The services latitude from pile data units that cowl editorial and writer preferences to writing and formatting patterns,” says V. Bharathram, president of Lapiz Digital. “Writing significant alternate texts in accessibility solutions is a further leading zone that has benefitted from AI. but the most crucial skills of applying AI lies in minimizing human oversight and negligence within the workflow.”

AI-primarily based equipment, Bharathram explains, can read and support the enter-doc details and commence recording the adjustments made via the editor, with the adjustments recorded continually with a variety of input files while enhancing. “specific algorithms can likewise breathe included in line with the suggestions for signify and noncount nouns in accordance with content material, phrase, and clauses suggestions, punctuation rules, prepositions of time, discipline-verb contract, and so forth. because of this, when the editor begins modifying in a brand new doc, the AI will instantly apply bar not a thing these guidelines with the constructed-in algorithm in the doc. it would then breathe satisfactory for the editor to simplest attain a random check at a later stage.”

With AI, the reference segment of a STM booklet or journal can breathe handled quite simply using a web or in-apartment reference library. “AI can apply and spotlight the key words corresponding to author identify, product name, area, and bibliographic for index manner via referring to regular grasp suggestions and the keyword library. this may reduce back human errors and pace up the system,” Bharathram adds.

clever automation of workflows utilized at a lot of aspects in the content material lifestyles cycle can reduce back time to e-book, Strengthen editorial fine, increase writer experience, and increase the immediacy of science, says Mike Groth, advertising director of Cenveo writer capabilities. “for instance, some publishers are the employ of AI and NLP in the peer assessment manner to deem manuscripts, extract keyword phrases for originality and relationship mapping, investigate for language great, identify plagiarism, and even suit papers to journals and reviewers.”

tools within the Cenveo sensible Suite 2.0 publishing equipment, as an instance, practice AI and NLP to tune construction and copyediting streams by using quality, implement replica and formatting rules, facilitate self-provider creator proofing, and generate XML—which simply reduce back the number of palpate facets while flagging concerns for human intervention when vital.

last yr, Taylor & Francis went are animate with Cenveo’s smart Suite, estimating that 25% of its article submissions are of high-satisfactory nice to Strengthen via computerized tests straight to the composition stage. “It saves up to forty% in basic creation time. AI and NLP, youngsters, will no longer exchange editors however reasonably empower them so as to add greater cost through focusing on the science and not on the procedure,” Groth provides, stating that “clever automation allows for publishers to scale up with out always increasing headcount, sacrificing nice or increasing fees.”

Over at Lumina Datamatics, massive facts and predictive analytics absorb enabled consumers to control tremendous volumes of structured and unstructured content. “Our latitude of analytical tools—together with predictive modeling, statistics mining, scorecards, and machine discovering—assist publishers to automate their latest approaches, resulting in extended efficiencies at a reduce cost,” says Vidur Bhogilal, vice president of Lumina Datamatics.

Bhogilal and his team additionally employ AI, NLP, and ML applied sciences to automate Lumina Datamatics’ copyediting methods. Then there is cognitive analysis and sage test expertise for analyzing the nice and suitability of substances.

For Integra application capabilities, the previous 4 years absorb viewed the company investing in AI and NLP. “today, near 80% of bar not a thing their journal-content material processing—from editorial services to remaining birth—pass via various Integra products that are constructed on NLP and RPA [robotic process automation] frameworks,” says Sriram Subramanya, company founder and CEO, adding that AI and NLP “usher in improvements in productivity to projects or features where publishers physiognomy challenges in skill scarcity, or unreasonable pervade constructions, or where the approaches are tedious or absorb longer lead instances resulting in lengthier booklet cycles. These are most obvious within the acquisition stage, involving initiatives such as manuscript screening, peer evaluation, and copyediting.”

AI and NLP, Subramanya says, “help publishers predetermine the smooth of investments that are needed in copyediting an inventory, or in a particular discipline, by route of selecting a neatly-written article or chapter inside a pair of minutes as an alternative of days.” These applied sciences, he adds, Strengthen the publisher’s in-residence workforce productiveness, bring forth faster instances to market, present enhanced budget predictability, and reduce typical costs from acquisition to publishing.

academic publishers absorb benefitted extra from AI and NLP implementation than publishers in different segments, Subramanya says. “These applied sciences absorb first-rate competencies in improving the productivity of acquisition editors, peer evaluate management team of workers, copyeditors, and the construction branch.”

As for Newgen KnowledgeWorks, the probability for authors and publishers to self-serve (through the employ of a lot of tools on offer) has viewed its focal point transferring more and more toward helping clients, deploying tools, and practicing groups worldwide on its solutions. “more and more, they may breathe growing their own content to support the unbelievable technologies—in response to AL, ML, NLP, stout facts, or analytics, for instance—that they now absorb developed,” enterprise president Maran Elancheran says.

Newgen’s copyediting platform, CEGenius, for instance, is increasingly the usage of AI to convey automation to content material preparation and pre-modifying routines. “Our tackle at the jiffy are in a position to generally automate the structuring and pre-enhancing ranges, so that editorial team of workers are capable of focal point on value-delivered language editing,” Elancheran explains. “while automation is improving how they reserve together, edit, and evaluate content, this is at bar not a thing times a technique guided through human intervention and knowing. The adage that the gadget is just ever pretty much as distinguished as the suggestions it contains is never greater censorious than these days. So it's essential that their editorial and technical cadaver of workers recall the system, necessities, and ideas behind the suggestions their tools practice. only then can they confidently contend with the exceptions that crop up now and again.”

machine getting to know is likewise assisting the Newgen crew to continually increase and fitting its automated composition tools, whether in InDesign or LaTeX, to bear superior-fine outputs with predictable consistency and speed. “throughout bar not a thing their venture-administration frameworks, from inside tools to my own e-book and PubKit, clever scheduling tools are helping us to control workload and prioritize tasks based on the unique necessities and background of each and every piece of content,” Elancheran adds. “because the drive on turnaround time raises, this ensures that the computing device takes the pressure in pushing content material to the next stage of the workflow, breathe that an automatic utensil or a human for language editing or QA. Such tackle are assisting us to consistently drive down turnaround time while improving efficiency.”

For DiTech manner options, AI-based mostly automation is latest in every facet of 3ClicksMaster, its cloud-based pass-media publishing platform. “we've incorporated ML/NLP-pushed content material modelling, self credit scoring–based selections, and researching algorithms to coach information for greater models and extra productive automation,” says founder and CEO Nizam Ahmed. “AI provides us with the solutions and approaches to streamline the creation processes to bring the closing product promptly and with enhanced distinguished to the market.”

The digital solutions trade, Ahmed adds, “begun from monolithic and meeting-line workflow (the usage of pilot procedures), which then became technology-driven when a rule-primarily based gadget became brought to enhance the procedure. nowadays, it is a lean workflow that optimizes AI, NLP, desktop learning, knowledgeable programs, and so a entire lot greater. For DiTech, these new applied sciences and automation absorb enabled us to build 3ClicksMaster, which is a price-effective platform for exquisite STM books and journals, travel publications, schoolbooks, and backlist information conversion with a hundred% accuracy and plenty reduced turnaround time.”

TNQ technologies, enterprise CEO Abhigyan Arun says, has been the employ of ML within its creation tactics for decades. “We employ the huge facts repositories to train prediction engines that can complement its rule units. They are now embarking on exposing this functionality into discrete services that may likewise breathe used via their valued clientele directly. These should breathe within the sort of person-friendly APIs which are constructed on a scalable microservices-based structure.”

helping content Discoverability

Publishers can leverage AI in analytics and advertising to find the redress audience for a title, or to serve readers find what they need. “on-line booklet recommendation in lots of of the retailer sites currently uses some sort of AI that makes guesses based on past purchases and browsing,” says Uday Majithia, assistant v-p of know-how, features, and presales at Impelsys.

AI-primarily based functions are being developed to serve authors and publishers. “AI functions, with minimal human intervention, will likewise breathe used in projects like textual content evaluation, detecting plagiarism on new manuscripts, detecting untrue statistical results, discovering new peer reviewers, content material searches, and semantic searches,” Majithia adds. “AI can carry effectivity in the strategies by means of cutting back human intervention, which likewise reduces human bias. Then there are the possibilities of automating the complete peer assessment procedure. whereas people cannot breathe utterly replaced by route of machines for peer reviewing, AI can breathe utilized to pace up the process.”

AI/NLP can likewise breathe deployed to improvement publishers to breathe able to raise discoverability, person appointment (and conversions), workflow efficiency, and output excellent in addition to to optimize every publication’s advertising and sales recommendations, says government director and CEO Vinay Singh of Thomson Digital. “clever desktop learning algorithms can power auto-taggers to tag articles precisely and establish wrongly assigned tags. This makes it simpler for publishers to implement and manage taxonomies,” Singh explains, including that publishers can “leverage NLP to extract key phrases from quite a lot of sections of the content and rank them in response to their importance. this may sooner or later Strengthen content categorization and, by route of extension, content discovery.”

With NLP technology, publishers can automate simple enhancing and formatting initiatives, and focal point their power on adding more suitable value to the content, Singh adds. “through the employ of AI/NLP to ranking articles for pleasant, journal submissions which are unreasonable first-class can boost straight to the typesetting and composition stage. and since editing is frequently essentially the most time-consuming section of the production process, quickly-monitoring extraordinary articles can shop a stout amount of time for publishers while additionally improving the author adventure.”

AI, Singh provides, can breathe used to increase algorithms, so they can support researchers. “as an instance, researchers can leverage the algorithms developed to discover entities, trending topic matters, and even coauthors and reviewers in their zone of specialization. Equally, laptop researching will likewise breathe used to extract sub-figures and captions from compound figures and even sever labels from their linked photographs. this can permit each item to breathe searched and retrieved for my part. besides, the automation will aid publishers in the reduction of the cost of segmentation, and extract and prepare helpful suggestions in order that researchers can search, evaluate, and recommend photos more exactly and simply.”

one of the crucial key focal point areas at Thomson Digital, Singh says, “is in robotic QA, in which content material satisfactory may likewise breathe evaluated instantly with the algorithms reserve in spot to create the computer equipped adequate to breathe trained and Strengthen on its own. this may create certain that bar not a thing DTD rules are adopted, and alterations amended as well as verified.”

how to employ large statistics to assess strategic selections on the class of content material to reserve up, how to sell the content material, and the arrogate marketing actions to enhance revenues is likely one of the main alternatives for publishers, says Rahul Arora, CEO of MPS. “here's where AI is available in. by using ML, computer systems can consume statistics, analyze it, and imply the subsequent steps. Chatbots, for instance, absorb been used in many retail sites for improved client help, and publishers can employ an identical approach as neatly. At MPS, they now absorb been bettering their platforms and techniques to manner stout records throughout numerous publishing areas reminiscent of gaining learning of, editing, bookselling, and rights and permission.”

The previous year has viewed MPS working on solutions featuring chatbots for clients within the areas of onboarding, worker self-provider, performance guide, client help, and online game-based mostly studying. Variable tracking, analytics, and multimedia shows are among the wealthy array of elements developed for these solutions.

MPS’s Think360 delivery platform, as an example, uses AI and ML to advocate more suitable e-book titles to readers. “Publishers employ backlists to analyze expanding their revenues, and AI can enhanced assist them entry analytics to leverage the present buying traits in a market,” Arora provides, declaring that “AI can additionally supply a more redress manner for publishers by route of examining a learner’s requirements and understanding of ideas, thereby tailoring the content material to fade well with the learner’s wants. in the on-line media space, AI is getting used on the editorial and promoting aspect of the business, and a lot of are the employ of AI to create chew-sized content and information reviews for millennials.”

Going beyond pervade reductions

but there are issues in AI/NLP functions. “AI has been used in the past and developed smartly,” says A.R.M. Gopinath, govt v-p at DiacriTech. “it is a herbal progression to their software capabilities and has been gently eased into common construction procedures. NLP, nevertheless, is really yet to occupy off without difficulty. there is much more studying crucial on the systems; oversight don't seem to breathe being captured as effectively yet. whereas they attain travail in NLP, complicated content material is not ready to breathe dealt with using NLP, and they are yet to deliver a attainable real-world condition are animate devoid of human intervention. NLP with assisted copyediting is a entire lot extra useful and legit.”

every person continues to breathe eyeing pervade discount through automation and using AI. “The alternatives are really boundless, and these solutions are helping the industry physiognomy the challenges posed by means of altering earnings models and transferring market circumstances,” says Elancheran, of Newgen KnowledgeWorks. “whereas here's an exciting time full of alternatives, the industry nonetheless has a extremely enterprise focal point on writer event, exceptional, and service. carriers that may bring bar not a thing of these collectively—ensuring that the personnel has the redress skill set to embody new technologies and not employing know-how indiscriminately—will thrive.”

AI/NLP may soundless breathe primarily used to enrich author sustain and never necessarily to in the reduction of fees, says Ravi Venkataramani, cofounder and CEO of Exeter Premedia capabilities. “in the long run, publishers which will attain smartly are those that provide the highest quality provider for their authors. The focal point of the trade may soundless therefore breathe to boost the writer adventure and streamline and increase the efficiency of the quite a lot of workflows through AI, ML, and NLP.”

there's an artificial urgency with bar not a thing publishers to create employ of AI/ML technologies in their workflows, says Shanti Krishnamurthy, chief zone officer at TNQ technologies. “it is uncertain no matter if this exigency is driven via the should reduce fees, or a deeper and basic exigency to generate greater information and design statistics-pushed workflows. The problem is doing it at an trade stage, factoring in that the legacy statistics became designed, gathered, and saved for different applications. So the means of a company to collect new and decent-first-rate facts and pair it with the legacy facts is a vital aspect that requires a transformation in the mind-set in any respect levels of americans in the company.”

one of the better publishers absorb attempted to build in-residence ML-based mostly know-how, provides Arun, of TNQ technologies. “however the challenge of data availability, as smartly because the maturity of existing solutions from suppliers equivalent to TNQ applied sciences, did not warrant the ROI on their inside effort. For smaller publishers, AI/ML remains a secret. Their direct is to supply them more attention about these applied sciences and what to expect realistically so that they could create advised choices concerning the employ of AI/ML no matter even if the product is in-condo or provided by using providers.” (Arun and Mike Hepp, v-p of operations and know-how of Sheridan Journal features, presented a paper, “Demystifying synthetic Intelligence,” at the Society for Scholarly Publishing’s annual meeting in may additionally.)

For Arora, of MPS, legit code written successfully and assuredly in a modular manner is not AI or NLP. neither is the automation of methods using incredible code. “however projects that are events and may or absorb been automatic are an excellent birth factor for AI. final year, they deployed AI in a challenge the spot the cost chain was in line with content material complexity decided via their sensible engine. They likewise built-in an NLP software because the choice-help system for copyediting for a different consumer.”

MPS, Arora says, has been the employ of smart automation in its content material transformation manner throughout the creator-to-reader value chain for a while now. “we now absorb embarked on a event of establishing cognitive production systems in the cost chain. These methods, which are constructed on the concepts of AI, ML, and NLP, present solutions similar to content material profiling and cognitive QC to permit publishers to submit more, quicker, and cheaper.”

A version of this text seemed within the 08/05/2019 topic of Publishers Weekly under the headline:

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Isilon [4 Certification Exam(s) ]
ISM [6 Certification Exam(s) ]
iSQI [8 Certification Exam(s) ]
ITEC [1 Certification Exam(s) ]
Juniper [67 Certification Exam(s) ]
LEED [1 Certification Exam(s) ]
Legato [5 Certification Exam(s) ]
Liferay [1 Certification Exam(s) ]
Logical-Operations [1 Certification Exam(s) ]
Lotus [66 Certification Exam(s) ]
LPI [24 Certification Exam(s) ]
LSI [3 Certification Exam(s) ]
Magento [3 Certification Exam(s) ]
Maintenance [2 Certification Exam(s) ]
McAfee [9 Certification Exam(s) ]
McData [3 Certification Exam(s) ]
Medical [68 Certification Exam(s) ]
Microsoft [393 Certification Exam(s) ]
Mile2 [3 Certification Exam(s) ]
Military [1 Certification Exam(s) ]
Misc [2 Certification Exam(s) ]
Motorola [7 Certification Exam(s) ]
mySQL [4 Certification Exam(s) ]
NBSTSA [1 Certification Exam(s) ]
NCEES [2 Certification Exam(s) ]
NCIDQ [1 Certification Exam(s) ]
NCLEX [3 Certification Exam(s) ]
Network-General [12 Certification Exam(s) ]
NetworkAppliance [42 Certification Exam(s) ]
NetworkAppliances [1 Certification Exam(s) ]
NI [1 Certification Exam(s) ]
NIELIT [1 Certification Exam(s) ]
Nokia [7 Certification Exam(s) ]
Nortel [130 Certification Exam(s) ]
Novell [37 Certification Exam(s) ]
OMG [10 Certification Exam(s) ]
Oracle [314 Certification Exam(s) ]
P&C [2 Certification Exam(s) ]
Palo-Alto [4 Certification Exam(s) ]
PARCC [1 Certification Exam(s) ]
PayPal [1 Certification Exam(s) ]
Pegasystems [17 Certification Exam(s) ]
PEOPLECERT [4 Certification Exam(s) ]
PMI [16 Certification Exam(s) ]
Polycom [2 Certification Exam(s) ]
PostgreSQL-CE [1 Certification Exam(s) ]
Prince2 [7 Certification Exam(s) ]
PRMIA [1 Certification Exam(s) ]
PsychCorp [1 Certification Exam(s) ]
PTCB [2 Certification Exam(s) ]
QAI [1 Certification Exam(s) ]
QlikView [1 Certification Exam(s) ]
Quality-Assurance [7 Certification Exam(s) ]
RACC [1 Certification Exam(s) ]
Real Estate [1 Certification Exam(s) ]
Real-Estate [1 Certification Exam(s) ]
RedHat [8 Certification Exam(s) ]
RES [5 Certification Exam(s) ]
Riverbed [9 Certification Exam(s) ]
RSA [15 Certification Exam(s) ]
Sair [8 Certification Exam(s) ]
Salesforce [5 Certification Exam(s) ]
SANS [1 Certification Exam(s) ]
SAP [98 Certification Exam(s) ]
SASInstitute [15 Certification Exam(s) ]
SAT [1 Certification Exam(s) ]
SCO [10 Certification Exam(s) ]
SCP [6 Certification Exam(s) ]
SDI [3 Certification Exam(s) ]
See-Beyond [1 Certification Exam(s) ]
Siemens [1 Certification Exam(s) ]
Snia [7 Certification Exam(s) ]
SOA [15 Certification Exam(s) ]
Social-Work-Board [4 Certification Exam(s) ]
SpringSource [1 Certification Exam(s) ]
SUN [63 Certification Exam(s) ]
SUSE [1 Certification Exam(s) ]
Sybase [17 Certification Exam(s) ]
Symantec [136 Certification Exam(s) ]
Teacher-Certification [4 Certification Exam(s) ]
The-Open-Group [8 Certification Exam(s) ]
TIA [3 Certification Exam(s) ]
Tibco [18 Certification Exam(s) ]
Trainers [3 Certification Exam(s) ]
Trend [1 Certification Exam(s) ]
TruSecure [1 Certification Exam(s) ]
USMLE [1 Certification Exam(s) ]
VCE [7 Certification Exam(s) ]
Veeam [2 Certification Exam(s) ]
Veritas [33 Certification Exam(s) ]
Vmware [68 Certification Exam(s) ]
Wonderlic [2 Certification Exam(s) ]
Worldatwork [2 Certification Exam(s) ]
XML-Master [3 Certification Exam(s) ]
Zend [6 Certification Exam(s) ]

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