The Last Watchdog

SEPTEMBER 11, 2019

In this milieu, even well-defended enterprises continue to suffer catastrophic data breaches. Stuck in a rut Enter SOAR, which takes well-understood data mining and business intelligence analytics methodologies and applies them to cybersecurity. Just ask Capital One , Marriott or Equifax. Talk more soon.

Security 159

Security Big data Cybersecurity Analytics 159

IBM Big Data Hub

JUNE 30, 2023

How IBM helps energy & utilities supply chain leaders gain more visibility and resiliency IBM MRO IO can reduce unplanned downtime and prevent costly outages, by ensuring on-site availability of critical materials and spares to keep round-the-clock operations running.

Energy and Utilities 66

Energy and Utilities e-Delivery Mining B2B 66

Bill Schmarzo - Dell EMC

FEBRUARY 14, 2018

Check out “ The New Normal: Big Data Business Model Disintermediation and Disruption ” for more details on business model disruption and customer disintermediation. See “ Optimizing the Customer Lifecycle With Customer Insights ” for more details on leveraging big data and data analytics to optimize your customer’s lifecycle.

Artificial Intelligence 102

Artificial Intelligence Analytics Customer Experience Big data 102

John Battelle's Searchblog

JUNE 9, 2014

We’re all being mined for data – but who are the real winners? Guardian This long piece gives a good overview, but fails to answer the question, save the rather easy “we’re not winning, but big companies are” angle. Book Related ELSE big data browsers Google Internet right to be forgotten'

Big data 68

Big data Mining Access IT 68

IBM Big Data Hub

AUGUST 14, 2023

Process mining can analyze how work is done and where bottlenecks or other inefficiencies exist. From there, you can re-think and re-engineer how work gets done, identifying tasks where AI or automation can be applied to free up employee time for higher value tasks where their touch is critical.

IT 75

IT Mining Risk Compliance 75

IBM Big Data Hub

SEPTEMBER 20, 2022

So we’re also using the natural language processing capability of Watson Discovery to mine insights from millions of blogs, articles and podcasts produced by media experts (see here to learn more ). We’re analyzing the performance statistics of all 1,900 players in the league. But the numbers don’t always tell the whole story.

Artificial Intelligence 52

Artificial Intelligence Customer Experience Mining Analytics 52

IBM Big Data Hub

DECEMBER 16, 2022

For line-of-business functions, here are five key capabilities to consider: Process mining to identify the best candidates for automation and scale your automation initiatives before investments are carried out. If data users don’t agree or understand how to interpret their options, they might not follow the process.

Analytics 52

Analytics Mining Access Sales 52

Bill Schmarzo - Dell EMC

FEBRUARY 14, 2018

Check out “ The New Normal: Big Data Business Model Disintermediation and Disruption ” for more details on business model disruption and customer disintermediation. See “ Optimizing the Customer Lifecycle With Customer Insights ” for more details on leveraging big data and data analytics to optimize your customer’s lifecycle.

Analytics 40

Analytics Artificial Intelligence Customer Experience Big data 40

IBM Big Data Hub

DECEMBER 15, 2023

Its simple setup, reusable components and large, active community make it accessible and efficient for data mining and analysis across various contexts. earn more about how to train, validate, tune and deploy AI models The post Five open-source AI tools to know appeared first on IBM Blog. Morgan and Spotify.

Libraries 72

Libraries Artificial Intelligence Education Access 72

Thales Cloud Protection & Licensing

JUNE 27, 2022

How to Accelerate Government Transformation by Reducing Risk, Complexity, and Cost. From smart cities and digital IDs to open government and better governance, the Cloud, Big Data, IoT and Artificial Intelligence have enabled a wide range of digital government initiatives. Big transformation of big government.

Government 71

Government Risk Artificial Intelligence Big data 71

IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. How the models are stored.

Data science 59

Data science Artificial Intelligence Paper Compliance 59

Bill Schmarzo - Dell EMC

MARCH 5, 2018

The conversation is simple because the objective is simple: How do I become more effective at leveraging (big) data and analytics (artificial intelligence) to power my business? Bounty of potential data sources to be mined for actionable insights in support of the business initiative. It’s simple.

Artificial Intelligence 111

Artificial Intelligence Analytics Big data Mining 111

eSecurity Planet

JANUARY 21, 2021

How to choose a GRC platform. Like other competitive GRC solutions, it speeds the process of aggregating and mining data, building reports, and managing files. SAP’s in-memory data access will give you top-of-the-line big data and predictive analytics capabilities tied to risk management. MetricStream.

Compliance 67

Compliance Risk Government Retail 67

Thales Cloud Protection & Licensing

JULY 24, 2018

These statistics indicate data breaches remain pervasive within the federal government, and that the current methods being used to secure agency data are not working as effectively as they could. There also appears to be some confusion over how to best protect critical data.

Encryption 48

Encryption Cloud Data breaches Government 48

eSecurity Planet

JANUARY 21, 2021

How to choose a GRC platform. Like other competitive GRC solutions, it speeds the process of aggregating and mining data, building reports, and managing files. SAP’s in-memory data access will give you top-of-the-line big data and predictive analytics capabilities tied to risk management. MetricStream.

Compliance 57

Compliance Risk Government Retail 57

CILIP

SEPTEMBER 13, 2018

Unfortunately, this is also its greatest weakness, unless you know how to tell a fact from an opinion. We are starting to see just how pernicious the latter can really be, with the return of deadly yet preventable diseases like measles ? s time to consider how we might build on the schools? experience.

Libraries 40

Libraries Blockchain Education Artificial Intelligence 40

ARMA International

SEPTEMBER 13, 2021

Part 3 will discuss how to manage the various DT risks. Fintechs are investigating how to incorporate blockchain technology into their operations to ensure secure and trustworthy payment systems. Data Analytics. Acting generates new data, causing the cycle to repeat, as shown in Figure 4. Retrieved March 2021. Press, Gil.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

IBM Big Data Hub

JULY 24, 2023

IT departments need to know how to allocate their resources best to address any emerging issues, increase uptime and keep the organization’s IT operations management (ITOM) running smoothly. Thankfully, IT systems produce their own data and collect even more in aggregate from customers, partners and employees.

Analytics 60

Analytics IT Big data Cloud 60

erwin

OCTOBER 24, 2019

Untapped data, if mined, represents tremendous potential for your organization. While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data.

Metadata 104

Metadata Big data Government Mining 104

John Battelle's Searchblog

JANUARY 25, 2019

First, 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. Big data, data breaches, data mining, data science…Today, we’re all about the data. And second… Governance.

Government 92

Government IT Marketing ROT 92

IBM Big Data Hub

APRIL 26, 2024

As large language models (LLMs) have entered the common vernacular, people have discovered how to use apps that access them. This means that enterprises looking to mine information from their private or proprietary business data cannot use LLMs out of the box. This means they are not always “current” or accurate.

Cloud 92

Cloud Customer Experience Manufacturing Mining 92

AIIM

JUNE 30, 2020

The issues and strategies that organizations will face with content management are further morphed by the coming tidal wave of big data and analytics. We asked the experts to pick which statement best describes their organization: We start with CONTENT, then we think about how to integrate PROCESS. (57%). Start with CONTENT?

ECM 184

ECM Content services Paper Information architecture 184

Bill Schmarzo - Dell EMC

MARCH 5, 2018

The conversation is simple because the objective is simple: How do I become more effective at leveraging (big) data and analytics (artificial intelligence) to power my business? Bounty of potential data sources to be mined for actionable insights in support of the business initiative. It’s simple.

Artificial Intelligence 40

Artificial Intelligence Analytics Mining Big data 40

eSecurity Planet

AUGUST 11, 2022

Essentially, we are securing an app at scale with enormous requirements for stored data, incoming data, data interactions, and network connections. Given the importance of “Big Data” analytics and applications to a company’s financial performance, securing data lakes is a critical priority for security teams.

Security 123

Security Encryption Cloud Access 123

ForAllSecure

APRIL 4, 2023

And then you go and help the customer on site because the data is on site and you need to actually kind of get hands on to the point we used to do imaging in big data centers and stuff and it take hours because terabytes of data and you'd have people sleeping in the data center, like which is crazy.

Cloud 40

Cloud Government Access IT 40

ARMA International

SEPTEMBER 22, 2021

Part 3 will discuss how to manage the various DT risks. This “anytime, anywhere” aspect is possible by merging traditional RIM practices of document and records lifecycle management and DT, but with a focus on how to “package” the content to deliver a product or service.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

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

IBM Big Data Hub

MAY 17, 2023

In the mining industry, different activities related to health, safety and environment (along with hazards in mines) can be captured and analyzed by different models using the DaaS application. Together, IBM and Capgemini are ready to create plays, assets and collaterals to engage with potential clients.

Energy and Utilities 85

Energy and Utilities Data collection Analytics Mining 85

John Battelle's Searchblog

JANUARY 13, 2013

It’s changed how I think about communicating, for the better. Because Google is, at its heart, a big data processing and learning machine. The Nexus 4 is still in limited release, and when I got mine, protective cases were backlogged. It makes texting and answering short emails almost fun. Why is it so good?

Cloud 111

Cloud Mining Big data IT 111

Bill Schmarzo - Dell EMC

JANUARY 29, 2018

Necessity dictated that we become very good at recognizing patterns and making quick, instinctive survival decisions based upon those patterns (see the blog “ Human Decision-Making in a Big Data World ”). Unfortunately, humans are lousy number crunchers. Type of Human Biases or Decision Traps. Trap: Over-confidence.

Analytics 40

Analytics Risk Data science Big data 40

Bill Schmarzo - Dell EMC

JANUARY 29, 2018

Necessity dictated that we become very good at recognizing patterns and making quick, instinctive survival decisions based upon those patterns (see the blog “ Human Decision-Making in a Big Data World ”). Unfortunately, humans are lousy number crunchers. Type of Human Biases or Decision Traps. Trap: Over-confidence.

Analytics 40

Analytics Risk Data science Big data 40

IBM Big Data Hub

APRIL 10, 2023

Let us now take the example of a European CSP which has a lot of ideas on how to improve their network operations. The data- and automation aspects were neglected in these PoC’s, resulting in very sub-optimal results. Therefore, data mining is the business of every CSP nowadays.

Analytics 61

Analytics Mining Access IT 61

Info Source

FEBRUARY 11, 2020

6 during Ephesoft’s inaugural Enterprise Productivity Summit , which convened enterprise strategists and technology leaders to discuss how to leverage contextual data to maximize Artificial Intelligence-driven decision-making and automation beginning in 2020. A new platform supporting this discipline was announced Feb.

Digital transformation 52

Digital transformation Artificial Intelligence Mining Financial Services 52

John Battelle's Searchblog

MAY 25, 2018

Well, May 25th is the day the European Union’s General Data Protection Regulation (GDPR) goes into effect. It’s more likely than not that any reader of mine already knows all about GDPR, but for those who don’t, it’s the most significant new framework for data regulation in recent history.

GDPR 90

GDPR Government Personal data Mining 90

John Battelle's Searchblog

MAY 25, 2018

Well, May 25th is the day the European Union’s General Data Protection Regulation (GDPR) goes into effect. It’s more likely than not that any reader of mine already knows all about GDPR, but for those who don’t, it’s the most significant new framework for data regulation in recent history.

GDPR 58

GDPR Government Personal data Mining 58

John Battelle's Searchblog

MAY 25, 2018

Well, May 25th is the day the European Union’s General Data Protection Regulation (GDPR) goes into effect. It’s more likely than not that any reader of mine already knows all about GDPR, but for those who don’t, it’s the most significant new framework for data regulation in recent history.

GDPR 40

GDPR Government Personal data Mining 40