Expert System, l’intelligenza artificiale “Da tre compagni in un garage a multinazionale alleata di Google”

Il Resto del Carlino

– Agli esordi, nel 1989, lavoravano in un garage, accanto al negozio di un fruttivendolo: “Di giorno, per finanziarci, facevamo una normale attività da informatici, sviluppo software e corsi, e poi alle 18 iniziava… il secondo turno, con la vera e propria progettazione. Non avevamo molti soldi, ma avevamo tempo: eravamo una startup, e non lo sapevamo”, ride Stefano Spaggiari, amministratore delegato della Expert System, la società modenese che, passo dopo passo, è diventata leader nel settore del cognitive computing e text analytics.

Leggi l’articolo de Il Resto del Carlino

Nel futuro di Google c’è l’intelligenza artificiale mercato di riferimento della società quotata su Aim Italia

– Riflettori puntati su Expert System [EXSY.MI], leader nello sviluppo di software semantici per la gestione strategica delle informazioni e dei big data, quotato sul mercato AIM Italia di Borsa Italiana.

Mercoledì scorso, in occasione della conferenza annuale dedicata agli sviluppatori, Sunar Pichai, amministratore delegato di Google ha dichiarato che nel futuro della società c’è l’intelligenza artificiale. Un interesse che riguarda anche Amazon, Apple, IBM, Yahoo, Facebook e Intel che hanno acquisito negli ultimi 20 anni società attive nel campo dell’intelligenza artificiale.

Secondo il Sole24Ore sono cresciuti anche gli investimenti da parte dei fondi di venture Capital passati, in Usa, dai 45 milioni di dollari del 2010 a 310 milioni nel 2015.

  1. Expert System, azienda leader nei software di analisi semantica per la gestione strategica dei big data, quotata sul mercato AIM di Borsa Italiana, annuncia la vittoria di Cogito all’edizione 2016 dei CODiE Awards. Finalista nelle categorie “Best Text Analytics & Semantics Technology” e “Best Metadata Management”, Cogito si posiziona al primo posto grazie alla capacità di analizzare e comprendere i testi per identificare ed estrarre le informazioni utili al business.

CODIE_2016_winner_white

I vincitori sono stati annunciati dinanzi a una platea di oltre 300 esperti di settore da Rhianna Collier, VP & Managing Director della divisione Software e Servizi della SIIA (Software & Information industry Association), la principale associazione americana del mondo dei software, che ha dichiarato: “Fra i vincitori dell’edizione 2016 dei CODiE Award ci sono i prodotti più innovativi che stanno impattando il mondo del business in tutto il mondo. Le aziende che si sono aggiudicate il premio devono perciò essere orgogliose di questo risultato, perché sottolinea l’eccellenza tecnologica dei loro prodotti. Desideriamo congratularci con tutti i vincitori, e ringraziarli per i contributi che stanno apportando all’industria del software.”

Stefano Spaggiari, Amministratore Delegato di Expert System, ha commentato così la vittoria di Expert System: Misurarsi con la concorrenza e con i giudizi di un pubblico esperto come quello dell’industria americana del software è sempre stimolante. Siamo molto soddisfatti del risultato che abbiamo raggiunto: una conferma importante dell’eccellenza della nostra tecnologia che vorremmo fosse di stimolo per riconoscere la qualità dell’innovazione tecnologica italiana, il vero nuovo motore dell’economia e della competitività del nostro Paese.”

Nata a Modena nel 1989, Expert System è oggi la più grande realtà europea leader nel mercato del cognitive computing e della text analytics.  Grazie alla combinazione di algoritmi di intelligenza artificiale per la comprensione del significato delle parole e delle frasi (semantica) e per l’apprendimento automatico (deep learning), Cogito legge e analizza qualsiasi tipo di testo per identificare le informazioni utili a rendere più efficiente la gestione strategica dei dati e i processi decisionali.

Il video della premiazione e altri dettagli sull’edizione di quest’anno dei CODiE Awards sono disponibili sul sito della SIIA http://www.siia.net/codie/

Not only are organizations and individuals drowning in information, they also  cannot keep up its exponential growth. Text mining applications can be used to automate some of the most information-intensive business processes. In this post, we will explore some of the most effective text mining applications and how they can be used to automate processes in different sectors:

Manufacturing: Warranties

Analyzing repairs and maintenance data in the durable goods sector is a difficult, widespread problem that is also quite expensive. Analysis is made to not only identify individual components that may fail in normal use, but also to rapidly identify the causes of system-level failures due to unexpected interactions between system components (rather than just component-level issues). A text mining application can address analysis problems by accessing repair datasets generated by technicians who perform repairs and obtaining data from different sources such as the text narratives on repair history stored in different repositories.

A text mining application can also help control warrranty costs through analysis of unstructured information, which is often avoided due to the inherent complexity of the tasks required and the “messy” text data.

Business Value: Text mining applications mine data and unstructured information to extract the knowledge that organizations need to identify critical business issues. Integrating this information with the traditional data available for warranty costs analysis can help organizations more effectively address core business issues. For example, data extracted from warranty reports by a text mining application can help identify root causes of failures or problems by identifying the link described in the warranty report text.

Text mining applicatins in all sectors: Measuring the impact of marketing campaigns

With the growing influence of social media, it is now possible to monitor the market’s reaction to marketing campaigns before it impacts revenue. Using text mining applications, data can extracted from social media content and organizations can select and cluster the comments made on a campaign or advertisement, identifying variables such as “buzz” (how much people talk about the campaign), “sentiment” (how people speak about the campaign), “attributes” (what concepts are associated with the campaign and how they differ from the target message), etc.

Values attributed to these variables, made possible with text mining, can help organizations anticipate the impact of the campaign, suggest corrections or set new targets for results in real time.

Business Value: text mining application can be used to measure real-time social media reactions to a campaign can help an organization modify their message or if necessary, take correct actions before it’s too late. The resulting real-time intelligence supports better decision making for your marketing budget investment.

Media: Increased monetization

The growing crisis of traditional media suggests that publishers, if they want to survive, will have to find new methods and new business models to increase their online business revenue. Text mining applications offer several opportunities for maximize revenue from a publisher’s information assets.

Content optimization: Publishers are looking at text mining applications as a great opportunity for optimizing the revenue streams from a given set of content. For example, data collected about users’ clicking habits based on the position of an article on the home page provide important input to the publisher’s news room to decide whether a specific article is performing as expected (in terms of clicks), given its position on the page. In optimization terms, it is a typical problem of maximizing the revenue (directly linked to the clicks) given a relatively fixed amount of assets (the articles published on a given day).

Text mining applications that employsemantic understanding provide important additional data by analyzing the topics and feelings expressed in an article, which offers an additional dimension to the analysis. For example, the click through rate of a publication’s top left article that average 35% could dramatically increase or decrease  based on whether the article is about “good news” or if the news is related to local events.

By extracting data about the content, the semantic technology at the core of these text mining applications can further improve the publisher’s ability to optimize revenue.

Content Recommendation Engine: Another way publishers can maximize their revenue is to ensure that readers spend more time on their website. This can be accomplished through Content Recommendation Engines, which, thanks to text mining applications, create a list of targeted suggested articles to keep readers on the site.

Building and adjusting the output of your text mining application to ensure that it provides highly relevant suggestions, also for specialized domains, is a challenge for even the most advanced applications.

To achieve this, text mining applications require flexible capabilities to identify, for example, the most relevant concepts in an article, other relevant entities that can create dynamic links to other articles, as well as a convenient workspace that enables users to perform all the tasks required and adjust the recommendation strategy, all from the same interface.

Finance & Insurance: Fraud Detection

Text mining applications, integrated with optimization algorithms, can help insurance companies identify suspicious claims, including who is making the claim and when and how the claim is made, with the objective of identifying similarities with other seemingly unrelated cases.

Often, only a few degrees of separation exist between the participants, and text mining applications, by providing social network monitoring, can be helpful in connecting the dots. For example, take the following information—individuals with similar names who frequent certain car shops, combined with personal information such as phone numbers, email addresses and their role in the claim—and extend this to all claims filed.

Social network analysis made through advanced text mining applications helps uncover these previously unseen links; the integration of this data into additional resources—fraud scoring engines that already include traditional elements such as database searches, predictive modeling, network link analysis—can be used to determine the likelihood that a claim is fraudulent and help the organization prioritize their efforts accordingly.

Business Value: By using both structured and accurate unstructured data, plus effective optimization algorithms, companies can determine the likelihood that a claim is fraudulent, prioritize their efforts and significantly reduce their claims expenses.

 

Martechadvisor

– Expert System, leaders in cognitive computing, has announced that they will be partnering with MarkLogic Corporation, providers of transactional and operational enterprise NoSQL databases. Through this partnership, MarkLogic’s database clients can power their information management applications with cognitive capabilities.

Daniel Mayer, CEO, Expert System Enterprise, said in a press release, “We’re excited to be partnering with MarkLogic, one of the world’s leading database providers. Our technologies are a natural fit, delivering smarter information management workflows and creating a foundation for competitive advantage for any organization.”

Read the article on Martechadvisor

Dataversity

– According to a new article out of the company, “Expert System, the leader in multilingual cognitive computing technology for the effective management of unstructured information, today announced a partnership with MarkLogic Corporation, a leading operational and transactional Enterprise NoSQL database provider.  The integration of Expert System’s Cogito multilingual cognitive software will enable MarkLogic database users to add cognitive capabilities to their information applications.”

Read the article on Dataversity

Inside BigData

Above the Trend Line: machine learning industry rumor central, is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz. Our intent is to provide our readers a one-stop source of late-breaking news to help keep you abreast of this fast-paced ecosystem. We’re working hard on your behalf with our extensive vendor network to give you all the latest happenings. Heard of something yourself? Tell us! Just e-mail me at: daniel@insidebigdata.com.  Be sure to Tweet Above the Trend Line articles using the hashtag: #abovethetrendline.

Read the article on Inside BigData

Expert System (EXSY.MI), the leader in cognitive technology for the effective management of unstructured information today announced that its Luxid Webstudio was honored as the best Metadata Management Solution of 2016 as part of the 2016 SIIA CODiE Awards.  Additionally, the company’s Cogito solution was named a finalist for Best Text Analytics & Semantic Technology.

The winner announcement was made by the Software & Information Industry Association (SIIA), the principal trade association for the software and digital content industries, to an audience of over 300 leaders. 61 awards were given for products and services deployed specifically for B2B software, information and media companies.

An SIIA CODiE Award win is a prestigious honor as each award winner was reviewed by a field of industry experts, whose evaluations determined the finalists. SIIA members then reviewed the finalists and their votes were combined with the scores from the industry experts’ to select this year’s CODiE Awards winners.

“We are honored to be the recipient of this year’s CODiE award for Best Metadata Management Solution. This recognizes our efforts in creating an industry first integration between ontology management and semantic enrichment layers” said Daniel Mayer, CEO of Expert System.  “Thanks to this, precisely governing metadata schemes and applying them to content has never been easier, resulting in the lowest Total Cost of Ownership in the industry.”

Luxid Webstudio is a user-friendly web application that combines ontology management and semantic enrichment into an efficient, integrated workflow. Ontologies and semantic enrichment are critical for efficient exploitation of unstructured content. Luxid Webstudio’s collaborative ontology web application bridges this gap by integrating with the semantic enrichment layer. Based on simple and user-friendly interfaces and ground-breaking workflow features, it simplifies and accelerates end-user tasks, at a significantly reduced operating cost.

Cogito is a cognitive computing software that reads, comprehends and answers. Based on Artificial Intelligence algorithms, Cogito makes the most of your data to empower better, more informed-decision making at the speed of current technologies and at the scale of your data repository.

“SIIA’s 2016 Business Technology CODiE Award winners are some of the most innovative products impacting businesses across the world. Recognized by their peers, the CODiE Winners should be proud of this prestigious accolade honoring excellence in business technology products,” said Rhianna Collier, VP & Managing Director for the Software & Services Division at SIIA. “We congratulate all of this year’s CODiE Award winners, and thank them for the contributions they have made to their industries.”

Details about the winning products can be found at http://www.siia.net/codie/2016-Winners.

Il Sole 24 Ore

– Gli investimenti in start up balzano a quota 310 milioni

“Nel futuro vediamo un passaggio dal prima il mobile al prima l’intelligenza artificiale”. Così si è espresso mercoledì scorso Sundar Pichai, ceo di Google, durante Google I/O, l’annuale conferenza dedicata agli sviluppatori, in cui ha come consueto annunciato molte novità. Ed è proprio l’intelligenza artificiale la chiave di lettura che consente di comprendere le mosse del gigante di Mountain View.

Se a prima vista possono sembrare reazioni a specifiche mosse dei concorrenti (con la nuova app di messagistica Allo che si oppone al travolgente successo di Whatsapp del rivale Facebook, mentre Google Home, l’assistente casalingo che permette di conversare con Google a voce, si affianca all’Echo lanciato da Amazon un anno fa), il filo conduttore di tutto questo è l’intelligenza artificiale che permette ai computer di analizzare i testi e comunicare direttamente con le persone.

Leggi l’articolo di Marco Passarello su Il Sole 24 Ore

Prometeia sceglie Expert System, azienda leader nei software di analisi semantica per la gestione strategica dei big data, quotata sul mercato AIM di Borsa Italiana, per arricchire la propria piattaforma di Wealth Management con un sistema in grado di leggere e interpretare le esigenze e i bisogni della clientela di Banche, Reti di Consulenti e Compagnie assicurative. Grazie ad algoritmi di intelligenza artificiale in grado di analizzare tutte le informazioni fornite dalla clientela, le aziende partner di Prometeia potranno migliorare il processo di profilazione degli investitori e la conseguente attività di consulenza svolta per gli stessi. Un sensibile passo in avanti nella frontiera dei modelli di interazione, co-operazione e conoscenza del cliente.

La continua attenzione per l’innovazione metodologica e tecnologica applicata nel wealth management (WealthTech®) è una delle chiavi del successo che Prometeia ha avuto in questi anni su questo mercato, diventandone leader.

“Questa partnership permette di offrire una soluzione in grado di accompagnare gli intermediari nel passaggio da una profilazione ‘statica’, basata prevalentemente sull’utilizzo di questionari cartacei standard, non adeguati a coprire tutti i segmenti di clientela e spesso percepiti come “burocratici”, ad una profilazione digitale ed adattiva, che consente un’interazione molto proficua ed efficace con i clienti” spiega Sebastiano Mazzoni Perelli, Director Prometeia e Responsabile Wealth Management & Personal Finance. “Il sistema messo a punto con Expert System pone domande personalizzate, contestuali al tipo di investitore e alla tipologia di servizio che sta richiedendo. In questo modo, e con il supporto di una customer experience innovativa ed accattivante, gli intermediari possono fare dialogare i risparmiatori con la piattaforma di wealth management, fornendo rapidamente un’analisi accurata dei bisogni, una diagnosi dello stato di salute della loro ricchezza ed una consulenza altamente personalizzata”.

“La potenzialità dell’intelligenza semantica, applicata all’analisi di bisogni espressi in forma libera dai clienti, può abilitare una molteplicità di nuovi servizi ad estremo valore aggiunto”, ha dichiarato Alessandro Monico, Italy Sales Director di Expert System. “Combinando le capacità cognitive e di elaborazione del linguaggio naturale di Cogito con le potenzialità dei motori di calcolo di Prometeia, la piattaforma abiliterà una sorta di ‘profilazione conversazionale’, innovazione davvero distintiva nel mercato nazionale e internazionale”.