Mining and Unstructured data - Information Management Today

MY TAKE: The no. 1 reason ransomware attacks persist: companies overlook ‘unstructured data’

The Last Watchdog

SEPTEMBER 18, 2018

All too many companies lack a full appreciation of how vital it has become to proactively manage and keep secure “unstructured data.”. One reason for the enduring waves of ransomware is that unstructured data is easy for hackers to locate and simple for them to encrypt. A few takeaways: Outside a database.

Unstructured data

Unstructured data Ransomware Mining Encryption

Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? When used strategically, text-mining tools can transform raw data into real business intelligence , giving companies a competitive edge. How does text mining work?

Mining

Mining Marketing Artificial Intelligence Customer Experience

Insight is the new GOLD

OpenText Information Management

APRIL 17, 2024

But the reality is that the challenges my children will face will be vastly bigger than mine. Like the Jaguar TCS Racing Team, more and more customers are asking OpenText how to collect their structured and unstructured data to analyze the performance of their digital products or services and the customer's sentiment.

Unstructured data

Unstructured data Customer Experience Digital transformation Mining

Webinars

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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New study looks at the top trends in data mining and analytics

Information Management Resources

JANUARY 6, 2020

Data mining can help enterprises identify anomalies, patterns, and correlations within large unstructured data sets to predict business outcomes.

Mining

Mining Unstructured data Analytics

Release 16 EP5 gives Magellan more text mining power and better user experience

OpenText Information Management

NOVEMBER 14, 2018

In fact, by some estimates nearly 80% of all enterprise information is unstructured data, such as documents, web content, or social media. That’s … The post Release 16 EP5 gives Magellan more text mining power and better user experience appeared first on OpenText Blogs.

Mining

Mining Unstructured data Analytics Metadata

Announcing OpenText AI and Analytics CE 21.3

OpenText Information Management

JULY 20, 2021

The amount of content and data available to organizations is ever-increasing. It’s reached a point where 95% of businesses consider managing unstructured data a problem.

Analytics

Analytics Unstructured data Mining

How natural language processing will help achieve a payback on EHRs

Information Management Resources

DECEMBER 19, 2017

With almost all healthcare organizations now using electronic records, computer algorithms will increasingly mine unstructured data to help improve care.

Unstructured data

Unstructured data Mining Analytics

Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data science

Data science Analytics Unstructured data Artificial Intelligence

Ephesoft Names Naren Goel as Chief Financial Officer

Info Source

FEBRUARY 22, 2018

As CFO, Goel will enact a progressive and responsible fiscal model as Ephesoft scales to meet the growing global demand for its technology, which enables organizations to mine their unstructured data. Naren has quantifiable experience instituting smart and actionable fiscal plans at growing software companies.

Unstructured data

Unstructured data Analytics Mining Cloud

How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

OCTOBER 30, 2023

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data.

Analytics

Analytics Retail Cloud Insurance

Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

JULY 6, 2023

Data science is a broad, multidisciplinary field that extracts value from today’s massive data sets. It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. It’s also necessary to understand data cleaning and processing techniques.

Data science

Data science Big data Analytics Mining

AI helps you hear your customers’ voice

OpenText Information Management

JUNE 27, 2018

Your customers are talking to you, and about you, but are you gaining any value from those conversations? Success in business requires a relentless focus on customers. And learning from their own words provides you with the insight to better engage with them through the personal experience they expect.

Unstructured data

Unstructured data Mining Artificial Intelligence Analytics

Capgemini and IBM Ecosystem strengthen partnership for Drone-as-a-Service

IBM Big Data Hub

MAY 17, 2023

Knowledge catalogues can help organize data effectively, and the data refinery provides out-of-box models for data cleansing. Watson® Discovery in CP4D can help ingest unstructured data (such as inspection reports, progress reports and OEM documentation) and prescribe appropriate SOPs to improve overall asset handling.

Energy and Utilities

Energy and Utilities Data collection Analytics Mining

The hidden message in reams of text

OpenText Information Management

DECEMBER 3, 2018

Excellence may be its own reward, but we consider recognition by one of the world’s most authoritative reviewers high praise indeed.

Analytics

Analytics Unstructured data IT Mining

Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

ARMA International

SEPTEMBER 22, 2021

Thus, they present interesting opportunities because information retrieval from a data lake is “fishing for information” that is relevant for the query, but not knowing where to look. So, extraction is critical to “mining out” very specific information from a particular data structure.

Digital transformation

Digital transformation Content services IT e-Discovery

How precision oncology will use data to advance cancer treatment

Information Management Resources

DECEMBER 12, 2017

By analyzing clinical, genomic and molecular data sets, oncologists can tap into treatment insights that can improve cancer care and patient outcomes.

Unstructured data

Unstructured data Mining Analytics

8 schools with insurance analytics programs

Information Management Resources

FEBRUARY 28, 2018

Several top colleges and universities are offering courses and concentrations in applying data to the sector.

Analytics

Analytics Insurance Unstructured data Data science

MassMutual unit, iPipeline partner to distribute risk model

Information Management Resources

MARCH 1, 2018

The life insurer’s LifeScore Labs division is ready to make its data tool available to other carriers in the space.

Risk

Risk Unstructured data IT Data science

Looking for a needle in a haystack couldn’t be easier!

CGI

FEBRUARY 11, 2013

You can segment today’s data types into three categories and their associated challenges. Unstructured Social data, sentiment and trend analysis. Structured-Unstructured Semantic Web – “a web of data that can be processed directly and indirectly by machines.”. Structured Databases and schemas.

Mining

Mining Big data Analytics Unstructured data

Utilities Digital Journey Insights (Part 3): Data, the new “digital capital” - Going beyond the hype of advanced analytics and AI

CGI

OCTOBER 31, 2018

Some utilities have built “data lakes” to handle structured and unstructured data (weather, social media, sensors, etc.), as well as ascertain how the cloud fits into the equation.

Energy and Utilities

Energy and Utilities Analytics Digital transformation Customer Experience

What Is Our Professional Future?

Brandeis Records Manager

SEPTEMBER 19, 2016

We can also partner with technology in the near term to mitigate the chaos-for example, using R programming tools to mine text, categorize, cluster, and de-duplicate unstructured data collections. Organizations don’t want ugly headlines, and some actually do something about it through our services.

Blockchain

Blockchain Records Management Unstructured data Artificial Intelligence

Information Management Today

MY TAKE: The no. 1 reason ransomware attacks persist: companies overlook ‘unstructured data’

Leveraging user-generated social media content with text-mining examples

Webinars

Trending Sources

Insight is the new GOLD

Webinars

New study looks at the top trends in data mining and analytics

Release 16 EP5 gives Magellan more text mining power and better user experience

Announcing OpenText AI and Analytics CE 21.3

How natural language processing will help achieve a payback on EHRs

Data science vs data analytics: Unpacking the differences

Ephesoft Names Naren Goel as Chief Financial Officer

How IBM and AWS are partnering to deliver the promise of AI for business

Data science vs. machine learning: What’s the difference?

AI helps you hear your customers’ voice

Capgemini and IBM Ecosystem strengthen partnership for Drone-as-a-Service

The hidden message in reams of text

Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

How precision oncology will use data to advance cancer treatment

8 schools with insurance analytics programs

MassMutual unit, iPipeline partner to distribute risk model

Looking for a needle in a haystack couldn’t be easier!

Utilities Digital Journey Insights (Part 3): Data, the new “digital capital” - Going beyond the hype of advanced analytics and AI

What Is Our Professional Future?

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