erwin

JUNE 11, 2020

What Is Data Intelligence? Data Intelligence is the analysis of multifaceted data to be used by companies to improve products and services offered and better support investments and business strategies in place. Transforming Industries with Data Intelligence. Apply real-time data in marketing strategies.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

CGI

MAY 16, 2018

Brands must tailor strategies to consumers who are demanding simplicity, flexibility, and immediacy. There are 3 core digital strategies that should be addressed to ensure brand and company success: 1. Fast, smart and actionable data must drive digital brand strategy. Fast-and-smart-data is the solution.

Customer Experience 40

Customer Experience Big data Mining Analytics 40

IBM Big Data Hub

JUNE 30, 2023

See IBM MRO IO in action by reading about how Shell and IBM jointly developed and launched Oren, a global B2B mining services marketplace platform to gain more productivity in the $190 billion mining industry.

Energy and Utilities 65

Energy and Utilities e-Delivery Mining B2B 65

IBM Big Data Hub

JUNE 30, 2023

See IBM MRO IO in action by reading about how Shell and IBM ​jointly developed and launched Oren, a global B2B mining services marketplace platform to gain more productivity in the $190 billion mining industry.

Manufacturing 73

Manufacturing Mining B2B Analytics 73

IBM Big Data Hub

DECEMBER 16, 2022

Their role has expanded from providing business intelligence to management, to ensuring high-quality data is accessible and useful across the enterprise. In other words, they must ensure that data strategy aligns to business strategy. Robotic process automation (RPA) to automate manual, time-consuming tasks.

Analytics 52

Analytics Mining Access Sales 52

IBM Big Data Hub

AUGUST 14, 2023

Process mining can analyze how work is done and where bottlenecks or other inefficiencies exist. This is a pivotal moment for HR leaders to step up to help define the organization’s transformation strategy and how people—and AI—will combine to deliver it. Automating bad processes won’t make them better.

IT 75

IT Mining Risk Compliance 75

Information is Currency

FEBRUARY 17, 2017

Despite years of talking about information governance and compliance, less than half of companies surveyed have a compliance culture — and many companies apparently have no governance strategy at all. The Conflict between Data Science and Cybersecurity. Big Data: Why Should You Be Aware of It. Customer Engagement.

MDM 40

MDM Big data Information governance Analytics 40

IBM Big Data Hub

NOVEMBER 24, 2023

Application modernization starts with assessment of current legacy applications, data and infrastructure and applying the right modernization strategy (rehost, re-platform, refactor or rebuild) to achieve the desired result. Subsequent phases are build and test and deploy to production.

Cloud 100

Cloud Customer Experience Mining Marketing 100

Everteam

JULY 11, 2019

In this context, several programs were pioneered that contribute to the detection of corruption and transparency through the use of big data technologies and open data, as well as the use of complex data processing algorithms. The Role Everteam is Playing… . Future Expectations….

Digital transformation 40

Digital transformation Artificial Intelligence Analytics Big data 40

CGI

JANUARY 10, 2018

As these examples demonstrate, a strategy for ownership, access, sharing and visualization of data is needed to enable new value chains to exist. If data is the new gold, augmented reality (AR) is the shovel. As we do, big data will become wide data, and predictions based on historical data will have far greater implications.

Mining 78

Mining Big data Access Insurance 78

eSecurity Planet

JANUARY 21, 2021

Further, managing the short-term and long-term policies and procedures of your organization can be challenging without an effective GRC strategy in place. Like other competitive GRC solutions, it speeds the process of aggregating and mining data, building reports, and managing files. Contents: Top GRC tools comparison.

Compliance 67

Compliance Risk Government Retail 67

eSecurity Planet

JANUARY 21, 2021

Further, managing the short-term and long-term policies and procedures of your organization can be challenging without an effective GRC strategy in place. Like other competitive GRC solutions, it speeds the process of aggregating and mining data, building reports, and managing files. Contents: Top GRC tools comparison.

Compliance 57

Compliance Risk Government Retail 57

ARMA International

SEPTEMBER 13, 2021

The migration involves using a cloud enablement strategy to deliver products and services on-demand to business users and customers anytime, anywhere, and on any device, while evolving and adapting to business users’ and customers’ needs as new formats, standards, and devices emerge. Data Analytics. Content Services Platforms (CSP).

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

Thales Cloud Protection & Licensing

JULY 24, 2018

Endpoint and mobile solutions are seeing the biggest spending increase (even though they’re rated at the bottom in terms of effectiveness) and data-at-rest security is seeing the lowest spending increase (even though it’s cited as highly effective). A basic security maxim is that those who control the keys control access to the data.

Encryption 48

Encryption Cloud Data breaches Government 48

IBM Big Data Hub

JULY 24, 2023

ITOA helps ITOps streamline their decision-making process by using technology to analyze large data sets and identify the right IT strategy. The increasing complexity of IT systems has created a need for organizations to monitor and analyze data better to make more informed decisions.

Analytics 59

Analytics IT Big data Cloud 59

AIIM

JUNE 30, 2020

But for years AIIM has defined ECM as: “Neither a single technology nor a methodology nor a process, it is a dynamic combination of strategies, methods, and tools used to capture, manage, store, preserve, and deliver information supporting key organizational processes through its entire lifecycle.”. Start with CONTENT?

ECM 184

ECM Content services Paper Information architecture 184

ARMA International

SEPTEMBER 22, 2021

Many DT journeys fail because the strategies do not properly assess the stakeholders’ needs and the organization’s capabilities. The DT journey requires a new strategy and roadmap instead of tweaking old ones. Content management tools would play a key role using SaaS, CaaS, MCaaS, and DaaS in a cloud-first strategy.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

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. Addressing the Complexities of Metadata Management.

Metadata 104

Metadata Big data Government Mining 104

IBM Big Data Hub

APRIL 15, 2024

This can involve techniques like network segmentation to reduce congestion or using faster protocols like UDP for certain data types. By optimizing data transfer, we decrease the time it takes to retrieve the information you need.

Analytics 72

Analytics Artificial Intelligence Marketing Access 72

IBM Big Data Hub

APRIL 26, 2024

This means that enterprises looking to mine information from their private or proprietary business data cannot use LLMs out of the box. To answer specific questions, generate summaries or create briefs, they must include their data with public LLMs or create their own models. Are the telcos prepared to make good use of gen AI?

Cloud 85

Cloud Customer Experience Manufacturing Mining 85

IBM Big Data Hub

APRIL 4, 2024

Here are some BPM examples that outline the use cases and benefits of BPM methodology: Business strategy BPM serves as a strategic tool for aligning business processes with organizational goals and objectives. The state used IBM Process Mining to map out its current workflow and track the progress of the SAP SRM system integration.

Compliance 60

Compliance Mining Risk Marketing 60

IBM Big Data Hub

JANUARY 26, 2024

For example, mining uses water in remote locations to aid in extractions and textile and chemical manufacturers may use on-site hydropower systems to power processes such as washing, fabrication, sanitation and more. Beyond electricity generation, many industries leverage hydropower for operations.

Energy and Utilities 78

Energy and Utilities Manufacturing Artificial Intelligence Agriculture 78

IBM Big Data Hub

MARCH 14, 2024

This is supported by automated lineage, governance and reproducibility of data, helping to ensure seamless operations and reliability.    IBM and AWS have partnered to accelerate customers’ cloud-based data modernization strategies.

Analytics 84

Analytics Cloud Metadata Government 84

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

CGI

FEBRUARY 11, 2013

Big data is a massive opportunity. We’ve all seen the big data statistics: every minute 1,820 TB of data is created, 204m emails and 11 million instant messages are sent, 700,000 Google searches are made and businesses receive 35,000 Facebook likes. Unstructured Social data, sentiment and trend analysis.

Mining 40

Mining Big data Analytics Unstructured data 40

IBM Big Data Hub

FEBRUARY 1, 2024

Enabling true transformation You’re on the lookout for adoption of industry best practices along with the capabilities of process mining and process discovery to both simplify and standardize the process flows. From a business and IT perspective, this helps in cycle time and eventually price per business object.

Cloud 95

Cloud Mining Retail Sales 95

IBM Big Data Hub

JUNE 30, 2023

In the oil and gas or mining industries, for example, there is a strong need to bring safety, reliability and compliance information into workflows. Organizations use EAM to save money from being wasted on preventable problems and unnecessary downtime and to enhance the efficiency, performance and lifespan of assets.

Digital transformation 65

Digital transformation IoT Artificial Intelligence Compliance 65

Bill Schmarzo - Dell EMC

JANUARY 29, 2018

But like in blackjack, it can be hard to stay focused on a statistical-based strategy under the stress and excitement of the moment. All Atlanta needed to do was execute a simple “run the ball” strategy and reduce the number of Patriots’ offensive possessions by one. Then all a coach needs to do is to follow the math.

Analytics 40

Analytics Risk Data science Big data 40

Bill Schmarzo - Dell EMC

JANUARY 29, 2018

But like in blackjack, it can be hard to stay focused on a statistical-based strategy under the stress and excitement of the moment. All Atlanta needed to do was execute a simple “run the ball” strategy and reduce the number of Patriots’ offensive possessions by one. Then all a coach needs to do is to follow the math.

Analytics 40

Analytics Risk Data science Big data 40

IBM Big Data Hub

JULY 17, 2023

These models have been trained on IBM curated datasets that have been mined to remove hateful, abusing and profane text (HAP). Each IBM-trained foundation model brings together cutting-edge innovations from IBM Research and the open research community.

Analytics 67

Analytics Data science Cloud Metadata 67

Info Source

FEBRUARY 11, 2020

By democratizing semantic data and sharing best practices for Context Driven Productivity, Ephesoft is paving the way for organizations of all sizes to bring context to bear in their own digital transformation initiatives.”. The event concluded with a dinner reception and show by Big Data comedian Tim Lee.

Digital transformation 52

Digital transformation Artificial Intelligence Mining Financial Services 52