Dark Reading

MAY 23, 2018

Two experts share their data science know-how in a tutorial focusing on internal DNS query analysis.

Data science 59

Data science Security 59

Reltio

JULY 2, 2019

Martin Squires is a leader with extensive experience in customer insight, marketing analytics & data science. Selected for the last 5 years as a member of the Data IQ Data 100 , Martin has considerable experience helping organisations drive value from building a deeper understanding of their customers.

Analytics 58

Analytics Insurance Artificial Intelligence Data science 58

IBM Big Data Hub

NOVEMBER 29, 2023

But Downer envisioned a partnership that would allow them to delve deeper into the data, unearthing more insights that could add value to operations. They combined forces with the experts at IBM to reach toward the expanding horizons of data science. “These tools offer an array of analytics options.

Data science 69

Data science Analytics Cloud IT 69

IBM Big Data Hub

MARCH 2, 2022

As social impact organizations accelerate digitization, they are increasingly aware of the untapped potential lying within their data, and how AI solutions leveraging this data can amplify impact. The organizations then began incubation projects alongside the DSE team, building models and data capacity alike.

Data science 72

Data science Analytics Education Financial Services 72

Import.IO

JANUARY 27, 2020

If you’re in the world of data analysis or data science, you’ve probably heard of data blending. But what exactly is data blending, and what are the benefits and costs associated with it? Keep reading to dive into the basics of data blending. What is Data Blending? Data blending is.

Data science 52

Data science IT Big data 52

Information Management Resources

JANUARY 22, 2018

The California-based startup provides data analysis to larger companies to improve their forecasts, operational efficiency and customer relationships.

Data science 31

Data science Analytics 31

Security Affairs

FEBRUARY 8, 2019

“The NITEC innovation challenge,” said Mike Street, Head of innovation and data science at the NCI Agency, “is a great way for a wide range of companies and organizations to share their innovative products and services with the NCI Agency.

Data science 77

Data science Communications IT Security 77

eSecurity Planet

JULY 16, 2021

This includes real-time remediation assistance, rule-based and protection activation recommendations, traffic and attack analysis, forensic analytics lab access, scheduled log analysis of identified critical systems, and configuration change recommendations for third-party systems and service providers. Key Differentiators.

Analytics 97

Analytics Data science Cloud Artificial Intelligence 97

IBM Big Data Hub

OCTOBER 4, 2022

Use your model: Transparent and explainable AI requires the automation of the analysis of model performance against KPIs while continuously monitoring in real-time for bias, fairness and accuracy. It drives a complete governance solution without the excessive costs of switching from your current data science platform.

Government 102

Government Artificial Intelligence Metadata Data science 102

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. billion by 2024, and recognized ABBYY as a Leader in the category. About Alteryx.

Analytics 40

Analytics Digital transformation Mining Data science 40

IBM Big Data Hub

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

Mining 57

Mining Marketing Artificial Intelligence Customer Experience 57

Security Affairs

AUGUST 18, 2020

“Investigations of this kind are primarily conducted by Binance’s internal risk intelligence unit known as Binance Sentry as well as an analytics arm, the Security Data Science division.” Binance also partnered with TRM Labs, a blockchain analysis firm that focuses on fraud detection.

Computer and Electronics 105

Computer and Electronics Digital transformation Data science Blockchain 105

eSecurity Planet

SEPTEMBER 22, 2022

Organizations acquire security information and event management tools to consolidate, manage, and provide analysis on security alerts. SIEM tools ingest the security alerts, process the different formats into a common framework, and analyze the data. The capabilities and focus of a specific SDL tool will vary from vendor to vendor.

Security 95

Security Analytics Cloud Unstructured data 95

IBM Big Data Hub

FEBRUARY 23, 2022

The use of AI in the form of the Watson Text to Speech service enables video and voice information to be standardized into a text document: the normal format for a police report, and a useful format for further AI analysis. Use of AI to find difference of perspective . Like any open source project, IARS has evolved over time.

Artificial Intelligence 86

Artificial Intelligence Data science Cloud Access 86

Security Affairs

AUGUST 7, 2018

The experts developed the tools starting from the analysis of 88 million Twitter accounts and over half-a-billion tweets, one of the largest random datasets of Twitter accounts analyzed to date. Practical data science techniques can be used to create a classifier that could help researchers in finding automated Twitter accounts.

Data science 59

Data science Security Paper Metadata 59

Archive-It

MAY 8, 2023

The workshops brought together librarians, archivists, program officers, graduate students, and disciplinary researchers for full days of learning, discussion, and hands-on experience with web archive creation and computational analysis. Participants further explored data generated with ARCH in Palladio , Voyant , and RAWGraphs.

Archiving 20

Archiving Libraries Data science Mining 20

Archive-It

MAY 8, 2023

The workshops brought together librarians, archivists, program officers, graduate students, and disciplinary researchers for full days of learning, discussion, and hands-on experience with web archive creation and computational analysis. Participants further explored data generated with ARCH in Palladio , Voyant , and RAWGraphs.

Archiving 20

Archiving Libraries Data science Mining 20

IBM Big Data Hub

NOVEMBER 3, 2023

As a result, I see access to real-time data as a necessary foundation for building business agility and enhancing decision making. Stream processing is at the core of real-time data. To add to the complexity, there is a shortage of finding the right people with the right skills to take on development or data science projects.

Digital transformation 78

Digital transformation Data science Big data Analytics 78

Bill Schmarzo - Dell EMC

MARCH 19, 2018

Much to my surprise, I noticed that Amos Tversky was the source of that original analysis. Given how much I love Michael Lewis’ work (his book “ Moneyball ” is still my favorite data science introduction book), I couldn’t wait to dive into this one!

Analytics 111

Analytics Data science Big data Risk 111

The Last Watchdog

JUNE 4, 2019

It’s a cybersecurity and data science “foundry” that uniquely helps create, finance and intensely coach brand-new startups manned by former cybersecurity and data science veterans of select federal research centers and national laboratories. Growth potential Janke and Ackerman continue to see the future.

Cybersecurity 144

Cybersecurity Computer and Electronics Data science Marketing 144

IBM Big Data Hub

DECEMBER 19, 2023

Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. The challenge for IT departments working in data science is making sense of expanding and ever-changing data points.

Unstructured data 71

Unstructured data Artificial Intelligence Sales Manufacturing 71

Archive-It

JULY 19, 2023

With ARCH’s intuitive interface, users can build custom research collections from existing digital collections, generate and access research-ready datasets, and analyze those datasets both in ARCH and in other analysis and visualization tools.

Archiving 20

Archiving Access Data science Libraries 20

Archive-It

JULY 19, 2023

With ARCH’s intuitive interface, users can build custom research collections from existing digital collections, generate and access research-ready datasets, and analyze those datasets both in ARCH and in other analysis and visualization tools.

Archiving 20

Archiving Access Data science Libraries 20

IBM Big Data Hub

NOVEMBER 8, 2023

By deploying an AI inference solution for both Speech-to-Text and Image analysis on Power10, the pathology unit was able to increase sensitivity in detecting lesions to prioritize higher probability cases. Later this month, clients will be able to take advantage of expanded data science services with the release of IBM Cloud Pak for Data V4.8,

Cloud 98

Cloud Digital transformation Data science IT 98

IBM Big Data Hub

MAY 8, 2023

If an AI system is trained on inaccurate, biased, or plagiarized data, it will provide undesirable results even if it is technically well-designed. Usage risk—abuse Though an AI system may be operating correctly in its analysis, decision-making, coordination, and other activities, it still has the risk of abuse.

Insurance 73

Insurance Risk Artificial Intelligence Government 73

The Last Watchdog

NOVEMBER 30, 2021

Deriving the singular algorithms required to accomplish this heavy lifting is a tall order and couldn’t happen without the evolution of big data; today, it’s technically possible and economically feasible to store this extensive amount of data and apply processing power to extract security intelligence from it.

IT 226

IT Security Big data Digital transformation 226

IBM Big Data Hub

APRIL 18, 2024

Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. Most importantly, no matter the strength of AI (weak or strong), data scientists, AI engineers, computer scientists and ML specialists are essential for developing and deploying these systems.

Artificial Intelligence 88

Artificial Intelligence Marketing e-Delivery Manufacturing 88

Collibra

DECEMBER 19, 2023

The goal is to align AI applications not only with your organization’s strategic goals but also with the data landscape and your technology stack. The key steps for integration include: Gap analysis: Conduct a comprehensive review of current data management and governance practices versus the requirements of effective AI governance.

Government 52

Government Risk Compliance Privacy 52

Information Management Resources

MAY 25, 2018

Agency is collaborating with VA to improve care by leveraging artificial intelligence and analytics through Big Data Science Initiative.

Artificial Intelligence 29

Artificial Intelligence Data science Big data Analytics 29

CILIP

JANUARY 20, 2020

The NUIST major of information management and information systems is based on meteorological data collection and analysis, meteorological information system analysis and design, and meteorological information service. Dr Li Beiqun, President of the University was delighted at the successful outcome. Published: 20 January 2020.

Education 52

Education Agriculture Libraries Data science 52

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Marketing 51

Marketing Data science e-Discovery Artificial Intelligence 51

IBM Big Data Hub

MAY 9, 2022

The reasoning is simple and well justified with the exception of data silos – more data allows the opportunity to provide more accurate insights while using multiple clouds helps avoid vendor lock-in and allows data to be stored where it best fits. Read the eBook. Start a trial. MLOps and Trustworthy AI.

Metadata 57

Metadata Privacy Government Data Privacy 57

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. Restrict core device functionality.

MDM 40

MDM Big data Information governance Analytics 40

Archive-It

JUNE 16, 2021

Meet the international research teams who will explore web archive collections data with new and developing analysis tools on the Archives Unleashed Project’s blog. Check out the Internet Archive’s job board for more information about openings with Archive-It and the Web Archiving & Data Services team.

Archiving 26

Archiving IT Libraries Data science 26

IBM Big Data Hub

NOVEMBER 29, 2023

For instance, if a business prioritizes accuracy in generating synthetic data, the resulting output may inadvertently include too many personally identifiable attributes, thereby increasing the company’s privacy risk exposure unknowingly.

Privacy 87

Privacy Data Privacy Artificial Intelligence Risk 87

IBM Big Data Hub

JANUARY 10, 2023

Not only can data support a more compelling change management strategy, but it’s also able to identify, accelerate and embed change faster, all of which is critical in our continuously changing world. Process mining tools can perform a fit-gap analysis on new processes to rapidly and more accurately identify the greatest change impacts.

Mining 52

Mining Analytics Digital transformation Data science 52

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Perform data quality monitoring based on pre-configured rules.

Metadata 52

Metadata Analytics Big data Unstructured data 52