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C o g i t o , t h e real C o g n i t i v e A r t i f i C i A l i n t e l l i g e n C e p l A t f o r m b y

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C o g i t o , t h e real C o g n i t i v e A r t i f i C i A l i n t e l l i g e n C e p l A t f o r m b y

More than 60% of global data and analytics decision makers say that

their company is sitting on 100 or more terabytes of data1. Customer and

transaction data, product information, market intelligence, email and social

media content make up just some of the 2.5 quintillion bytes of data that is

being created on a daily basis2. In other words, businesses are producing the

text equivalent of a new Library of Congress every day.

The question is, how much of this information is being utilized to help your business?

The reality is that the vast majority of enterprise data is actually unavailable

to business intelligence, operations and analytics processes for one simple

reason: it is unstructured.

The very nature of this information, and the abundance of it, makes it difficult

to manage yet extremely valuable for decision making.

It’s time for more organizations to take advantage of the greatest source of

available information: their own unstructured data.

of CoMpanIes are sITTIng on 100+ TerabyTes

of daTa

60%

UnsTrUCTUred InforMaTIon

a large portion of internal or external content that organizations rely on

to do business—news feeds, web content, emails, presentations, customer

feedback, market reports, compliance documentation—is classified as

unstructured data, which makes up more than 80% of enterprise information3.

of enTerprIse daTa Today Is UnsTrUCTUred

80%

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businesses that understand this are not waiting until 2020. They know that

the volume and quantity of their data is simply impossible to manage using

traditional methods. They understand that a smart technical solution is

required to extract business value from all of their data, especially unstructured

information, so that they can quickly and reliably make sense of it.

This requirement is not suited for just any technology. Instead, it’s a task for

systems that can read and comprehend human language and information in

a way that is dynamic, scalable and, most importantly, intelligent.

To understand why, it’s necessary to look at how data is typically processed.

EffEctivEEntErprisEs usE aLL daTa

IDC predicts that by 2020, organizations that analyze relevant

data—both structured and unstructured data—and deliver

actionable information to decision makers will achieve an extra

$430 billion in productivity gains over competitors that do not

perform such analysis4.

More

prodUCTIVITy

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It’s important to understand that not all data is the same. structured data

is most often located in cells in a database, and usually deals with a clear,

predetermined business purpose. Instead, unstructured data is most

everything else. The most complex portion of unstructured information is

textual—social media data, news feeds, transcripts, documents, etc. It can’t

be easily organized into a database, and it can be ambiguous and difficult to

manage because it is characterized by an important trait: human language.

Unstructured data is the opposite of structured data: everyday language

can contain endless amounts and types of information, is expressed in many

different ways, and meaning depends significantly on context. for example,

consider that the 500 most common words in everyday language have an

average of 23 different meanings. This means that even a simple sentence of

just 10 words could have a huge number of different meanings.

This is what makes processing unstructured information so difficult. If we

want a machine to understand our language, we have to go beyond the logic

of the numeric calculation typically associated with software.

This is why natural language-based (or concept) classification and extraction

technologies make the difference. They try to replicate the process humans

follow when they read and understand the meanings of words in context.

Instead, traditional technologies that are designed to deal with numbers

process words in the only way they can: by pretending they are numbers.

In doing so, they “see” words but do not understand meanings. They can

“match” two or more words as appearing together but cannot determine

what they mean.

The challenge of deploying a seamless solution that makes sense of

unstructured information and merges it with structured data to exploit

the value of all data is therefore no longer optional, but a requirement for

enterprises.

despite the complexities of handling human language and the meaning of

texts, it’s a necessary process if you want to capture the full value of your

information. for one, effectively managing unstructured information enables

businesses to take advantage of all the knowledge available. Whether this

information is standalone or integrated with the more familiar structured data,

it is a critical success factor in decision making.

The bUsIness VaLUe of UndersTandIng MeanIng“As basic, mostly keyword-extraction-based technology becomes outdated and less effective, improved complex

concept extractions will dictate which providers lead the pack. Vendors that can provide these advanced features position

themselves to successfully deliver enterprise grade text analytics solutions to their customers.” (The Forrester Wave™: AI-

Based Text Analytics Platforms, Q2 2018) 5

What makEs UnsTrUCTUred information so ChaLLengIng?

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effectively processing natural language and, in a broader sense, being

able to accurately “make sense” of unstructured data at scale can generate

exponential business value, accelerating knowledge discovery, and

ensuring delivery of the right information at the right time, as well as

empowering process automation by adding intelligence into robotic

process automation.

In fact, the capability of understanding “knowledge,” whether in the form

of documents, emails, research output, regulatory and compliance reports,

news feeds or tweets, can radically change the way knowledge is discovered.

at the same time, in the rush to take advantage of innovative technologies

like robotic process automation (rpa), the need for text analytics and

natural language understanding is often forgotten. Instead, information-

intensive processes such as customer interaction, invoice data extraction

and classification, claims management and contracts verification can be fully

and intelligently automated only through the accurate comprehension of

unstructured data.

organizations can now understand the meaning of words in context by

deploying a high-performance artificial intelligence (aI) technology with

features built for processing large quantities of text with the highest levels of

precision.

Cogito (Latin for ‘I think’) is the expert system cognitive artificial intelligence

platform that enables organizations to understand data, and empowers them

to take control of their decision-making processes.

by enabling human-like comprehension, Cogito adds context to content,

turning information into knowledge and supporting organizations to

extend automation to processes that require understanding the content

of complex documents such as insurance claims, financial services, risk

management reports, underwriting documents or engineering surveys, etc.

arTIfICIaL InTeLLIgenCe: enabLIng human CoMprehensIon and insight at scalE

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1 https://www.forrester.com/report/The+Forrester+Wave+AIBased+Text+Analytics+Platforms+Q2+2018/-/E-RES141340#2 https://www.forbes.com/sites/bernardmarr/2018/05/21/how-much-data-do-we-create-every-day-the-mind-blowing-stats-everyone-should-read/#2159d46060ba 3 https://www.forbes.com/sites/forbestechcouncil/2017/06/05/the-big-unstructured-data-problem/#1d60a9a1493a 4 https://www.idc.com/promo/thirdplatform/digitaltransformation/information 5 https://www.forrester.com/report/The+Forrester+Wave+AIBased+Text+Analytics+Platforms+Q2+2018/-/E-RES141340#

END NOTES

as companies increasingly recognize the business implications and

actionable benefits of aI, the question becomes: how will you use aI for your

business?

Thanks to the Cogito platform based on aI algorithms, organizations can

effectively support and improve unstructured information management and

text analytics in order to:

Leverage all information, combining internal knowledge with other

information sources to extract relevant data

Provide effective and real-time insight on strategic initiatives, partners and

any third parties

Mitigate and even completely avoid risks for operations, reputation, etc.

through information analysis and monitoring

Know what competitors are doing and intercept market trends

Implement automation for the broader, more complex set of processes that

involve data

Free up teams to focus on more creative or critical activities inside the

organization

See the entire business through a different perspective

The AI revolution is here.

hoW Will you usE arTIfICIaL InTeLLIgenCe for your bUsIness?

Cognitive Artificial Intelligence helps businesses make better, faster and cheaper decisions. Organizations must be

willing to work with the machine, and not treat it as a servant or expect it to be a fully automated process with no human

intervention. Machines formulate based on human input.

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