What is financial intelligence analysis: From a defensive to a proactive approach

Risk management is not only about financial transactions, it’s about abstract relationships connected by commerce and conducted by those who go to great lengths to appear completely legitimate. What is financial intelligence analysis? It’s a valuable tool for intelligence and risk management that can be used for both a defensive and a proactive approach.

The defensive approach

What is financial intelligence analysis? According to Wikipedia, one of the main goals of financial intelligence “is to identify financial transactions that may involve tax evasion, money laundering or some other criminal activity”. Defensive financial intelligence analysis activities protect the organization by identifying risky behavior (the customer who makes big investments without the funds to back it up) and suspicious transactions (such as those with black-listed countries or organizations) before they have a chance to hurt the business. A defensive approach is important, but it’s just one part of a solid financial intelligence strategy.

The proactive approach

A strategic and proactive approach to financial intelligence analysis gives the user more decision making power when it comes to protecting assets from risk and fraud. A proactive approach involves a unified view of information at the speed of real-time events. It enables intercepting weak signals and trends before they become reality.
Monitoring activities–for competitors and market trends–are able to exploit all kinds of financial data and news streams for their intelligence value. By automatically extracting and correlating this information that is otherwise impossible to analyze manually, analysts can choose whether to or how to modify their investment decisions or whom to do business with well in advance.

Cognitive technology for financial analysis

What is financial intelligence analysis? Simply put, we can say that it provides the financial knowledge you need to protect or to add value to your business. The problem is, how can we collect, understand and analyze the mass of information necessary (structured or unstructured, qualitative or quantitative, traditional or less common, hidden or easy to detect, inside or outside the organization) for our analysis?

It’s here that the cognitive technology Cogito can help. Cogito allows financial organizations to take full advantage of information to make fast and informed decisions on portfolio and investment strategies. Thanks to its cognitive capabilities based on artificial intelligence algorithms that mimic the human ability to read and understand, Cogito makes vast amounts of content easily and immediately accessible, enriches quantitative analysis methods, and develops customized sensors that constantly monitor information flows.

In this way Cogito, can reduce the risk of illegal financial activities and, at the same time, help extract strategic value from information for decision making.

Expert System parteciperà al 23° Congresso ASSIOM FOREX, evento annuale degli operatori dei mercati finanziari che si terrà a Modena il 27 e 28 gennaio 2017.

Il convegno, a cui interverrà Ignazio Visco, Governatore della Banca d’Italia, rappresenta un momento molto importante di incontro e confronto tra operatori della finanza, imprenditori e istituzioni.

Nella giornata del 28 gennaio, Stefano Spaggiari, Amministratore Delegato di Expert System, parteciperà  alla tavola rotonda “Credito e innovazione, le partite del futuro per l’Italia”, insieme a Claudio Lucchese, Presidente Florim Ceramiche, Andrea Munari, Amministratore Delegato BNL – Gruppo BNP Paribas e Alessandro Vandelli, Amministratore Delegato BPER Banca, e moderata da Roberto Napoletano, Direttore de Il Sole 24 Ore, Radiocor e Radio24.

Expert System sarà disponibile allo stand #23 presso l’area espositiva per tutta la durata dell’evento.

Per maggiori informazioni, visita il sito del Congresso.

Expert System parteciperà al ITASEC17, Italian Conference on Cybersecurity 2017, un evento annuale sostenuto dal CINI Cybersecurity National Laboratory che mira all’incontro tra ricercatori e professionisti italiani del mondo accademico, dell’industria e del governo, che lavorano nel campo della sicurezza informatica.

Nel corso della sessione Cyber Intelligence, Maurizio Mencarini, Head of Sales, Intelligence, e Gianluca Sensidoni, Manager, Business Process di Expert System, condurranno l’intervento “Multilanguage Semantic Behavioural Algorithms to discover terrorist related online contents”.

Per maggiori informazioni, visita il sito dell’evento.

For organizations both large and small, cyber security threats, from malware attacks to hacking and IT asset theft, present very real and even fatal threats to an organization’s finances as well as its reputation. OSINT tools and techniques offer effective solutions for small- to medium-sized organizations and businesses of any size to protect their operations and their reputation in a way that is affordable.

Small and medium-sized enterprises (SMEs) play an increasingly important role in today’s economy. According to the U.S. Small Business Administration, 28 million small businesses account for 54% of all U.S. sales. In Europe, SMEs represent around 99% of all enterprises, according to Eurosat. Over the last year, data collected by SMEs is becoming increasingly valuable to cyber criminals. A 2016 survey of 250 small businesses by Barclaycard reported that half of small businesses were hit by cybercrime in the last year. Only one out of six felt confident that they had adequate measures in place to prevent these attacks.

SMEs often lack the IT security expertise and resources to create advanced security policies to protect their systems against cyber risks. However, customers’ security expectations for financial transactions and protection of personal data are the same, no matter the size of the business. As a result, effective security measures are a requirement for doing business. OSINT tools and techniques can help.

With OSINT tools and techniques, SMEs can take advantage of open source information that is freely available to support their IT processes for protecting against cyber threats. Publicly available information such as large, open source data sets and news and stock feeds, blogs, forums and chat rooms and social media offer a wealth of information that can be useful for threat prevention.

Full access to and analysis of all open sources such as the ones listed above can help an organization identify news and events, follow up on developing situations and listen for emerging trends and signals. Combined, this may sound like an overwhelming amount of information to manage. And it would be if you had to rely on manual evaluation of each piece of information to determine which ones are valuable. Instead, OSINT tools and techniques help you filter out the irrelevant information so that companies can focus on the information that matters. Additionally, OSINT software can help correlate details and patterns that individuals might miss across thousands of different documents or other sources.

The additional value of an open source software or intelligence solution is the ability to use all of the information available and provide analysts with everything necessary to gain context and insight from data.

OSINT tools and techniques can support companies in combatting cyber risks for the following activities:

OSINT tools and techniques allow companies to leverage the knowledge and technology necessary for combatting and preventing threats from becoming reality.

Obiettivo dell’accordo offrire soluzioni avanzate di intelligence e geolocation ad aziende e organizzazioni governative, combinando il tool di intelligenza artificiale di Expert System per l’analisi delle informazioni con la Piattaforma di Esri per la gestione dei dati spaziali e georeferenziati

– Expert System, società leader nello sviluppo di software semantici per la gestione strategica delle informazioni e dei big data, quotata sul mercato AIM di Borsa Italiana, ed Esri, leader in soluzioni geospaziali a supporto dei processi operativi e decisionali, consolidano la partnership basata sull’integrazione tra la Piattaforma ArcGIS di Esri e la tecnologia cognitiva Cogito di Expert System estendendola a livello worldwide.

La partnership nasce dalla naturale evoluzione di rapporto di business consolidatosi negli anni tra Expert System ed Esri Italia.

L’unione delle competenze di Expert System, nell’ambito dell’analisi delle informazioni, con le capacità della tecnologia Esri, nell’elaborazione spaziale e georeferenziata, offre un efficace supporto agli analisti di intelligence di qualsiasi organizzazione (dalle pubbliche amministrazioni alle aziende dei vari settori di mercato, come utilities, energia, finance, ecc.). Per i processi di analisi tattica e strategica, infatti, la possibilità di estrarre in automatico e visualizzare su sistemi GIS entità, fatti, emozioni da un qualsiasi flusso informativo contenente testo scritto in linguaggio naturale (documenti, social media, email, ecc.) è fondamentale per capire che cosa avviene, quando avviene, come avviene e dove avviene.

La partnership con Expert System aggiunge un importante passaggio nel percorso di Esri verso la costruzione di soluzioni per una sempre migliore gestione e valorizzazione dei Big Data”, ha affermato Emilio Misuriello, Amministratore Delegato di Esri Italia. “La più avanzata tecnologia di analisi geospaziale, unita alle grandi capacità di analisi dei flussi informativi di Cogito, costituisce uno strumento vincente e una chiave di successo per le organizzazioni in possesso di dati non strutturati, da gestire o da interpretare. Questa partnership rafforza la collaborazione in essere, già da diversi anni, tra Esri Italia ed Expert System al fine di offrire soluzioni di valore per i nostri clienti.”

“L’ampia esperienza maturata nella gestione delle informazioni ci consente di ideare rapidamente soluzioni ad alto valore aggiunto, spesso basate su importanti sinergie tecnologiche”, ha dichiarato Andrea Melegari, SEVP, Defense, Intelligence & Security di Expert System. Siamo molto soddisfatti della collaborazione con Esri. La combinazione dell’approccio cognitivo con la dimensione geografica è un elemento di innovazione che risponde all’esigenze degli utenti di evolvere le attività di analisi correlando, in uno medesimo strumento, flussi di dati non strutturati georefenziati da Cogito ed altri layer in possesso della organizzazione.”

Grazie alla comprensione dei testi con la tecnologia semantica di Expert System e all’elaborazione spaziale e georeferenziata dei dati, gli analisti del comparto governativo e della corporate security possono gestire in tempo reale flussi di dati interni ed esterni per migliorare, per esempio, la protezione degli asset della propria organizzazione o il discovering di target, rendendo quindi più efficace la gestione delle attività di indagine informativa.

Data is being generated in a variety of formats, and at a rate that shows no signs of slowing down. Identifying information that can support decision making among thousands of documents, web pages and social media feeds is a complex and time-consuming process. Because it’s simply too much to read quickly, this information is often ignored or only partially used to support organizational processes.

Text analytics software helps people digest text data more efficiently. Combined with text mining, together they offer the opportunity to discover interesting patterns and the ability to turn text data into actionable knowledge that can be useful for decision making.

But how do text mining and text analytics work?

They can be viewed as the two subsequent steps in a process designed to gain knowledge and support strategic decision making by using the data contained in text. The text data (keywords, concepts, verbs, nouns, adjectives, etc.) are extracted through the text mining process and are then used in the text analysis step to extract insight from the data. Here, it decides which pieces of content need to be further reviewed by people. The text analysis part works in a similar fashion. A text processing engine that has a deep and rich understanding of natural language will usually provide better, more insightful text data analysis. .

For example, let’s consider how text mining and text analytics work for product managers or marketing managers. Each of these roles may be interested in knowing what customers think about their products, and how their products compare with those of competitors. If they can use text mining techniques and software to tap into sources like social media or verbatim text from customer surveys, they can extract this information to improve future releases.

Or, let’s consider how text mining and text analytics can work for scientists. For example, scientists are interested in research topics and newdiscoveries. Because different scientist communities tend to use different terminologies, they face similar issues when it comes to distinguishing the relevant from the irrelevant. Combining the terminology in a single, unique view can speed up discovery of important information. Once again, the result of text mining can be used via text analytics to give a representation of the data to speed up the comprehension of the knowledge extracted.

Here is another simple example of how text mining and text analytics work together. The output of text mining is a list of terms with attributes like frequency or, for more advanced semantic technologies like Cogito, their relative semantic relevancy inside a text or a collection of texts. The analytic parts of the process instead consist of the representation of this list. For example, this could show us clusters of terms based on the semantic vicinity of the words extracted. With tools like our Cogito Intelligence Platform, this representation can be made more interesting using different visual structures, such as bubble graphs, polarization graphs, heat maps, etc. Anyone can use the visual representation to easily navigate to the most relevant documents or sections of the documents to extract knowledge automatically or through further manual analysis.

When people write about how text mining and text analytics work, they tend to consider them as synonyms. Instead, they are two separate pieces of the same process that is designed to extract knowledge from information. Today, most text analytics or cognitive computing software can perform both tasks with an increasing level of effectiveness, and for businesses, that’s what matters most.

Discover Expert System solutions!

Expert System, società leader nello sviluppo di software semantici per la gestione delle informazioni e dei big data, quotata sul mercato AIM di Borsa Italiana, annuncia la nomina di Louis Andre a nuovo amministratore delegato di “Expert System USA”, la società del Gruppo dedicata a sviluppare soluzioni per le organizzazioni pubbliche statunitensi, incluse quelle che operano nei settori di Difesa, Intelligence e Forze dell’Ordine.

Dando seguito a una brillante carriera nel mondo della difesa e dell’intelligence, culminata dopo 26 anni di attività con la nomina a Chief Operating Officer e Chief of Staff della DIA (la principale agenzia militare di intelligence per gli Stati Uniti d’America con sede al Pentagono), Louis Andre guiderà un periodo di importante crescita per Expert System USA. In particolare, avrà come obiettivo il consolidamento di importanti progetti avviati con alcune delle principali agenzie federali degli Stati Uniti, forze dell’ordine e altri dipartimenti governativi (Dipartimento di Giustizia e Dipartimento della Difesa).

Stefano Spaggiari, Amministratore Delegato di Expert System, ha così commentato la nomina di Louis Andre a CEO di Expert System USA:

“Il mondo dell’Intelligenza Artificiale applicata alle esigenze di analisi e intelligence più sofisticate sta vivendo un periodo di sviluppo straordinario. La profonda esperienza di Andre è ciò che ci serve per potenziare l’orientamento strategico di Expert System USA e cogliere tutte le opportunità legate al mercato del comparto governativo americano.”

Louis Andre ha lavorato a lungo nel settore dell’intelligence e della difesa, acquisendo un’eccellente conoscenza dei problemi legati alla capacità di analizzare efficacemente i dati per prevenire e contrastare le minacce. Presso la U.S. Defence Intelligence Agency, ha ricoperto diversi incarichi di responsabilità nell’ambito della gestione e dell’analisi strategica dei dati (Responsabile della Divisione Globale dedicata all’analisi delle informazioni; Responsabile e fondatore della divisione creata per contrastare il terrorismo, DIA – Counterterrorism Branch, da cui si è successivamente sviluppata l’attuale “Joint Intelligence Task Force” contro il terrorismo; infine, Chief Operating Officer e Chief of Staff). Ha iniziato la carriera prestando servizio come Assistente Speciale, precisamente nel ruolo di Direttore Associato, nell’ambito della “J-2”, cioè l’organismo di direzione per l’intelligence che sostiene i capi di stato maggiore americani (JSC, Joint Chiefs of Staff) in tutte le attività nazionali legate all’intelligence e alle operazioni militari. Più di recente, nel ruolo di Senior VP Intelligence Business Strategy, ha guidato lo straordinario percorso di crescita e sviluppo di CACI International, realtà specializzata nell’offerta di soluzioni per la sicurezza nazionale con oltre 20.000 risorse impiegate in tutto il mondo.

Nel corso della sua carriera, Louis Andre ha ricevuto inoltre importanti attestazioni di merito e stima, fra cui un “Presidential Rank Award”, il prestigioso riconoscimento riservato dal governo degli Stati Uniti a coloro che si sono maggiormente distinti in ambito professionale.

Expert System is proud to announce Archna Bhandari, Vice President, Data and Analytics at Expert System Enterprise, will be speaking at Pharma CI in Prague, Czech Republic from February 21-22. She will be leading a roundtable discussion called “Challenges of Expert Identification – Who Knows Best?”

For the last decade and going strong today, the Pharma CI Conference & Exhibition is the best and largest assembly of pharmaceutical competitive intelligence executives in the world!

Expert System is also an exhibitor at this year’s event. Be sure to come by our table to learn about the  role of experts in competitive intelligence.

You can register for the event here

Expert System parteciperà al convegno CMI, business speed date dedicato a BOT, Assistenti Virtuali e Intelligenza Artifciale per il Customer Service, che si terrà presso il Palazzo Stelline, Milano, il 16 febbraio 2017.

Durante l’evento sarà spiegato come l’utilizzo di BOT, Assistenti Virtuali e Intelligenza Artificiale renda i servizi sempre più efficienti, ottimizzando i costi e mantenendo alto il livello della relazione con il cliente. Inoltre, attraverso il racconto di esperienze, sarà illustrato come integrare queste tecnologie nei propri processi, quali risultati aspettarsi e quali condizioni occorrono per ottenerli.

L’evento è riservato agli abbonati CMI 2017 e agli invitati.

Per maggiori informazioni visita il sito dell’evento

Business data (over 80% of which includes text-based information) is an organisation’s most important assets. When it comes to choosing the best text data mining software and tools, determining the right solution for optimizing strategies for unstructured information management and text analytics isn’t easy. Perhaps there is no single, perfect solution. But the best scenario is one that uses all of your available data, and includes anunderstanding of its meaning.

Text data mining for business efficiency

With text data mining software and text data mining tools, we’re talking about solutions that allow management not only of structured data but also of unstructured text (found in email messages, word documents, presentations, webpages and all of your typical business documents).

For companies in any industry, staying competitive is key. Shift enterprise IT infrastructures into the cloud is one way to stay competitive by to reducing operational costs. Getting better insight from a company’s business data is a strategic way to gain a real competitive advantage.

This is where text data mining can help. From customer support to knowledge management, social media monitoring and operational risk management, text data mining software can effectively automate text- and data-driven business processes in a more timely, accurate and cost effective way.

The Case of Customer Support

The customer support area is often a wealth of potential competitive insight. Customer data or contacts lists provide some basic information. While there are a lot of easy options for gathering and navigating such data, they don’t offer much beyond listing a few entities such as names, addresses and personal information like date of birth and gender. To make the most out of every customer relationship and each contact interaction, we know that we need more than just basic lists to improve customer support activities.

Direct requests from customers, including social media interactions, for example, offer valuable opportunities and insight for most any organization. Past sales, customer email communication threads and any kind of interaction that a customer has with your organization can help marketers identify new prospects for up selling, targeting new markets and converting existing clients to new products and services. It’s also valuable for optimizing internal activities such as team collaboration and back office functions.

 Why we need more intelligence for text data mining software and tools

An in-depth analysis of text data allows you to identify and organize all of your knowledge in the most precise way possible. Text mining software and tools that are able to understand information can deliver great benefits because they add a deeper level of intelligence by extracting useful data from any information stream to take immediate and more personalized actions.
For more information about Expert System text mining solutions, please visit http://www.expertsystem.com/solutions/