IBM Big Data Hub

JANUARY 10, 2023

Grasping these opportunities at IBM, we’re increasingly building our specialism in process mining and data analysis tools and techniques we believe to be true ‘game changers’ when it comes to building cultures of continuous change and innovation. It can show whether perceptions are real, as well as unearthing unexpected insights.

Mining 52

Mining Analytics Digital transformation Data science 52

Info Source

OCTOBER 6, 2020

The Alteryx APA Platform unifies analytics, data science and data-centric process automation in one self-service platform. ABBYY brings process intelligence to both data and operational processes to automate otherwise complex hand-offs. “For billion by 2024, and recognized ABBYY as a Leader in the category.

Analytics 40

Analytics Digital transformation Mining Data science 40

IBM Big Data Hub

NOVEMBER 30, 2022

So, it’s crucial for companies that want to add specific AI capabilities to their applications or workflows to do so without expanding their technology stack, hiring more data science talent, or investing in expensive supercomputing resources. Users can then mine the data using simple keyword searches to find the information they need.

Libraries 87

Libraries Data science Cloud Mining 87

Information Management Resources

FEBRUARY 6, 2018

The adoption of machine learning and the need for access to data beyond just data science team is changing how many firms approach information warehousing.

Data science 55

Data science Access Mining 55

Archive-It

MAY 8, 2023

ARCH supports computational research with web archive collections at scale – e.g., text and data mining, data science, digital scholarship, machine learning, and more. Participants were then introduced to Archives Research Compute Hub (ARCH).

Archiving 20

Archiving Libraries Data science Mining 20

Archive-It

MAY 8, 2023

ARCH supports computational research with web archive collections at scale – e.g., text and data mining, data science, digital scholarship, machine learning, and more. Participants were then introduced to Archives Research Compute Hub (ARCH).

Archiving 20

Archiving Libraries Data science Mining 20

eDiscovery Daily

FEBRUARY 9, 2020

— Lilith Bat-Leah, CEDS, Director, Data Science, Fronteo. We’ll publish the rest of the observations tomorrow (including mine)! — Mike Quartararo, President, Association of Certified E-Discovery Specialists. The outpouring of support from long timers to newcomers for EDRM just warmed my heart.”.

e-Discovery 70

e-Discovery Education Artificial Intelligence Data science 70

Information is Currency

FEBRUARY 17, 2017

Risk of personal data loss. The Conflict between Data Science and Cybersecurity. Cybersecurity is in direct conflict with the basis tenants of data analysis, especially big data analysis, predictive analytics and data mining. Poor User Experience. Restrict core device functionality.

MDM 40

MDM Big data Information governance Analytics 40

CILIP

OCTOBER 8, 2019

2019 brings together content delivery and technology, looking at how areas such as AI, machine learning and data science are coming together in the content world. s technologies have the power to be just as transformative. Content delivery pioneers.

e-Delivery 40

e-Delivery Libraries Data science Artificial Intelligence 40

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

Adam Shostack

MAY 20, 2020

Understanding the way intrusions really happen is a long-standing interest of mine. This is quite a different set of questions compared to “how long does it take to detect,” or “how many records are stolen?” ” How the intrusion happens is about questions like: Is it phishing emails that steal creds?

Mining 49

Mining Government Phishing Cloud 49

Bill Schmarzo - Dell EMC

FEBRUARY 14, 2018

See “ Optimizing the Customer Lifecycle With Customer Insights ” for more details on leveraging big data and data analytics to optimize your customer’s lifecycle. Follow the Customer Summary.

Artificial Intelligence 102

Artificial Intelligence Analytics Customer Experience Big data 102

Bill Schmarzo - Dell EMC

MARCH 5, 2018

Note: throughout this blog, when I use the term “artificial intelligence,” I mean that to include other advanced analytics such as deep learning, machine learning (supervised, unsupervised, reinforcement), data mining, predictive analytics, and statistics (see Figure 1). Figure 1: The Evolution of AI, ML and DL (Source: Nvidia ).

Artificial Intelligence 111

Artificial Intelligence Analytics Big data Mining 111

OpenText Information Management

APRIL 8, 2020

Until recently, the word “disruptive” was used to describe competitors, technologies and business models that could radically change the market that a company competed in. appeared first on OpenText Blogs.

Analytics 68

Analytics Cloud Marketing Mining 68

Bill Schmarzo - Dell EMC

FEBRUARY 14, 2018

See “ Optimizing the Customer Lifecycle With Customer Insights ” for more details on leveraging big data and data analytics to optimize your customer’s lifecycle. Follow the Customer Summary.

Analytics 40

Analytics Artificial Intelligence Customer Experience Big data 40

ARMA International

SEPTEMBER 13, 2021

Gartner (2021) defines data management as “the practices, architectural techniques, and tools for achieving consistent access to and delivery of data across the spectrum of data subject areas and data structure types in the enterprise, to meet the data consumption requirements of all applications and business processes.”

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

John Battelle's Searchblog

JANUARY 25, 2019

First, Data. Big data, data breaches, data mining, data science…Today, we’re all about the data. How much have you thought about that word in the past two years? Given how much it’s been in the news lately, likely quite a lot. And second… Governance.

Government 92

Government IT Marketing ROT 92

IBM Big Data Hub

JULY 17, 2023

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.

Analytics 65

Analytics Data science Cloud Metadata 65

Bill Schmarzo - Dell EMC

MARCH 5, 2018

Note: throughout this blog, when I use the term “artificial intelligence,” I mean that to include other advanced analytics such as deep learning, machine learning (supervised, unsupervised, reinforcement), data mining, predictive analytics, and statistics (see Figure 1). Figure 1: The Evolution of AI, ML and DL (Source: Nvidia ).

Artificial Intelligence 40

Artificial Intelligence Analytics Mining Big data 40

Collibra

NOVEMBER 18, 2021

Yes, the ancient pyramids relied not only on labor and raw materials, but on data collection and analysis. . Data collection is what we do. Today, we think of Big Data as a modern concept. Cloud storage, text mining and social network analytics are vital 21 st century tools.

IT 52

IT Data collection Analytics Military 52

Information Management Resources

APRIL 6, 2018

Analytics skills are in short supply, but demands for data-driven results are not. Here are Forrester’s top tips on how chief data officers can drive business strategy.

Analytics 49

Analytics Data science Mining 49

Information Management Resources

FEBRUARY 5, 2020

The report 'Data Literacy Matters: The Writing’s On The Wall' presents Forrester’s data literacy framework which components of a comprehensive data literacy program.

Data science 30

Data science Mining 30

Information Management Resources

JANUARY 26, 2018

When it comes to digital transformation, many organizations either don’t know where to start or they’re jumping off the wrong diving board.

Digital transformation 39

Digital transformation IT Data science Mining 39

Information Management Resources

FEBRUARY 28, 2018

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

Analytics 29

Analytics Insurance Unstructured data Data science 29

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 28

Risk Unstructured data IT Data science 28

Information Management Resources

NOVEMBER 30, 2017

The insurer partners with California-based insurtech Carpe Data to further investigate incoming claims.

Insurance 29

Insurance Data science Mining Analytics 29

IBM Big Data Hub

SEPTEMBER 11, 2023

The sheer volume and velocity of the transaction workloads, the richness of data in each transaction and the data in log files is a potential gold mine for machine learning and AI applications to exploit cognitive capabilities, creating a more intelligent and secure solution.

Analytics 89

Analytics Cloud IoT Paper 89

Bill Schmarzo - Dell EMC

JANUARY 29, 2018

As a standard operating practice, football front offices should apply Machine Learning to mine the large body of football game data to identify those “known unknowns” and “unknown unknowns” relationships buried in the data. Trap: Anchoring Basis. However every situation – even ones that mirror previous games – is unique.

Analytics 40

Analytics Risk Data science Big data 40

Bill Schmarzo - Dell EMC

JANUARY 29, 2018

As a standard operating practice, football front offices should apply Machine Learning to mine the large body of football game data to identify those “known unknowns” and “unknown unknowns” relationships buried in the data. Trap: Anchoring Basis. However every situation – even ones that mirror previous games – is unique.

Analytics 40

Analytics Risk Data science Big data 40