Sentences with phrase «unstructured data»

For those of us who remember Y2K, it was about bit sizes for storing dates; nowadays, we're taking about the real - time analysis of big data with the velocity and volume of unstructured data in the gigabits.

Chamath Palihapitiya, who left Facebook in 2011 to start his own venture firm, Social + Capital, noted at the Sohn Conference in New York on Monday that companies must organize a vast pool of unstructured data in order to truly build artificial intelligence technologies.

The company's cloud - based platform helps automate tedious back - office tasks, improves the efficiency of labor - intensive document - based workflows, and extracts valuable insights from unstructured data found in documents, text, images and audio.

RAVN Systems has broad and deep experience with unstructured data processing and offers innovative search - based and cognitive computing solutions.

Big data trends range from the explosion of data, through to the increasingly sophisticated discovery and analysis technologies that may be applied to structured data such as that held in databases, and unstructured data stored in audio or video format, SMS and social media.

It has already made well - publicized breakthroughs in transforming massive amounts of unstructured data into commercially - relevant products and services.

Google News is reporting that IBM is about to give away a concept - based search engine for unstructured data:

RAVN Systems has extremely broad and deep experience with unstructured data processing and offers revolutionary search - based and cognitive computing solutions.

Using algorithms, TLO generates customizable reports linking structured and unstructured data on bankruptcies, foreclosures, liens, judgments, assets, unlisted phones, and utilities data.

By building predictive models, fintech companies are able to analyze unstructured data and assess credit risk.

Hadoop is a database for managing unstructured data from the web, sensors and devices utilized in big data analytics.

Using AI - driven unstructured data analysis such as via natural language processing (NLP) to better understand law firm invoices has become a significant field all to itself.

In addition, Micro Focus is adding over 400 analytics capabilities enabled by the Vertica columnar database and IDOL software for searching unstructured data.

I witnessed in real time the RAVN AAI zapping through unstructured data at speed.

Videris enables users to more efficiently collect, analyze and visualize unstructured data available on the Internet — including global corporate records and social media networks — in a single platform, alongside e-disclosure material.

Meanwhile, Slaughter and May's investment in Videris, which enables users to collect, analyse and visualise unstructured data available on the internet, follows Videris» integration with kCura's Relativity in April.

Nuix's powerful, intuitive technology makes it possible to search, investigate and actively manage unstructured data sets of any size or complexity.

«We started developing our own AI platform earlier this year but a key missing component was how we would look to extract data from unstructured data sources efficiently,» said Dene Rowe, partner and director of product development at Keoghs.

Some examples of what is happening in the legal profession is ROSS, the legal research tool which extracts facts from over a billion documents in a second, and RAVN ACE, a computer platform able to convert unstructured data into structured information within hours.

RAVN expertise and solutions deliver long - term value, competitive advantages and help manage and mitigate risk through surfacing and harnessing the information contained within unstructured data.

The platform also transforms unstructured data into actionable BI and insights, which makes companies more productive while saving money.

To work as a data architect, you need to possess a bachelor's degree in computer sciences or another technical discipline along with deep knowledge of structures and unstructured data model designs.

Fortunately, with AI, the software can learn how to read unstructured data and pull information attorney's need almost instantly.

Watson can do this with electronic medical records as well as with so - called unstructured data (like that found in the image of an X-ray or brain scan).

The software is able to translate unstructured data like comments and «likes» into trends, moods and the overall message from your customers.

Structured and unstructured data goes in, proper analyses come out.

The proliferation and speed of unstructured data via blogs, news websites and social networks is now such that potential buyers passively receive information (or in some cases misinformation) about your products and your competitors» products well before someone from your sales team ever has the chance to interact with them.

Are you leveraging unstructured data — social own the road.

«We [will] wrap the data with all that unstructured data so we can tell a retailer they should raise the price by 25 percent when it is sunny and 75 on Labor Day and these are the beers that will sell the best,» Hershberger explains.

Much of this deep Web information is unstructured data gathered from sensors and other devices that may not reside in a database that can be scanned or «crawled» by search engines.

We talked about Watson, a technology platform that uses natural language processing and machine learning to discover the hidden knowledge behind unstructured data.

For instance, in capital markets there is always a need of price predictions for instruments or equities or assets and an algorithm is applied to the huge amount of unstructured data coming from various feed providers.

So, in order to apply the actual algorithm to the data, we need to have that complete unstructured data into a structured and shaped data for which a process of pre-massaging is required, through which the data is passed.

«While unstructured data represents the lion's share of a company's data, for years lawyers have been stuck with antiquated tools that focus primarily or solely on Boolean search.

Some of these organisations are already offering AI related solutions to help understand unstructured data and comprehend natural language to pick warning signs, for example.

For example, it is up to judges to determine whether digital evidence is reasonably accessible, or even to determine what electronic evidence is — something not always clear when talking about spreadsheets, databases or other unstructured data.

Just as the original impetus for eDiscovery was the business - process transition from a primarily hard copy - based data system to electronically stored information (ESI), the current trend toward more intelligent AI is driven by the systemic transformation from primarily structured data retention to much larger, ever - growing, predominantly unstructured data (the «big data» phenomenon).

Our technology uniquely combines behavior and emotional analysis, unsupervised content classification and natural language processing to help users navigate unstructured data (emails, text messages, legal documents, etc.) and identify case - relevant facts in seconds instead of hours or even days.

Natural language generation: this is somewhat new; instead of understanding language, i.e. taking unstructured data and trying to apply structure to it, natural language generation does the opposite; the machine takes structured data and tries to create something else, some «writing» that looks like it was written by a human.

«With unstructured data growing at unprecedented rates, it is crucial that we offer a solution that allows our clients to take control of their information and avoid the unanticipated costs of letting it expand unchecked.»

Dozens of types of data storage medium exist, and most of the data does not come in neatly labeled files, folders and boxes, but as unstructured data mixed in with email invites to hockey games, personal documents, relevant documents saved into the wrong folder, proprietary databases which contain data that is largely irrelevant (and sensitive to boot!)

ECA is designed to identify relevant data by means of searches such as keyword and date ranges over entirely unstructured data either over the forensic images produced by the preservation stage, or over the raw data itself, such as the files and e-mails on a company's network.

Nuix is Lighthouse's primary unstructured data processing engine.

Nuix simplifies and reduces the cost of data collection by processing unstructured data containers directly and intelligently.

Assists the end - user in understanding their roles and responsibilities in creating and saving unstructured data created at their workstation.

Active Navigation is a recognized industry leader providing unique file analysis software for the discovery, transformation and ongoing control of unstructured data wherever it lies in the enterprise.