IBM Big Data Hub

FEBRUARY 7, 2024

Businesses, governments and individuals now see sustainability as a global imperative. As more companies set broad environmental, social and governance (ESG) goals, finding a way to track and accurately document progress is increasingly important.

Artificial Intelligence 97

Artificial Intelligence Risk Agriculture Government 97

IBM Big Data Hub

APRIL 20, 2023

Along with defining and operationalizing the right level of governance across organizational layers for efficient value orchestration and continuous improvement. Learn more about IBM Process Excellence The IBM Process Excellence practice leverages the leading process mining tools across the IBM ecosystem and partners.

Mining 70

Mining Financial Services Digital transformation Retail 70

CGI

NOVEMBER 26, 2018

Federal agencies involved in budgeting, tax administration and other activities that call for economic modeling can get a boost from artificial intelligence (AI) technologies that have matured over the years to become powerful tools. Analyze trends in various critical open data sources available on U.S. Reaping the benefits.

Big data 40

Big data Artificial Intelligence Agriculture Government 40

IBM Big Data Hub

FEBRUARY 13, 2024

Such analysis and decision-making are often optimized with the help of various technologies, including artificial intelligence tools and data analytics platforms. 2 For instance, through sustainable strategic sourcing, companies consider questions like: Do manufacturing plants minimize waste and effectively use resources?

Blockchain 85

Blockchain Artificial Intelligence Risk Manufacturing 85

IBM Big Data Hub

DECEMBER 20, 2023

By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. Create a list of potential tools, vendors and partnerships, evaluating their experience, reputation, pricing, etc.

Artificial Intelligence 78

Artificial Intelligence Customer Experience Cloud Government 78

IBM Big Data Hub

JULY 7, 2023

Thirty percent of those incidents occurred in manufacturing organizations. Learn how to create a holistic data protection strategy Staying on top of data security to keep ahead of ever-evolving threats Data security is the practice of protecting digital information from unauthorized access, corruption or theft throughout its entire lifecycle.

Security 40

Security Data breaches Data Privacy Compliance 40

Krebs on Security

OCTOBER 12, 2018

Tony Sager (TS): The federal government has been worrying about this kind of problem for decades. In the 70s and 80s, the government was more dominant in the technology industry and didn’t have this massive internationalization of the technology supply chain. It’s too easy to hide. It’s a hard problem category.

Security 204

Security Computer and Electronics IoT Cloud 204

Reltio

MAY 14, 2019

If you ask people about data management and all they talk about is governance then you know they are only being driven by regulation or a concern. A truly mature company embraces governance and innovation and they are designed in together, not bolted on and only way you can do that is via data strategy. “A

Big data 45

Big data Government Cloud IT 45

IBM Big Data Hub

DECEMBER 1, 2023

The fast-paced business world we live in today requires smart tools to manage a business’s operations and everyday needs. ERP solutions are built to meet the needs of organizations across multiple industries including retail, consumer products, industrial, energy and utilities and government (including defense).

Cloud 93

Cloud Energy and Utilities e-Delivery Risk 93

IBM Big Data Hub

DECEMBER 12, 2023

Emissions can be intentional, such as exhaust gases from a power plant, or they can be unintentional, like pollutants from manufacturing. Enterprises demonstrating clear progress in sustainability commitments often receive more support from governing bodies.

Compliance 75

Compliance Digital transformation Risk Manufacturing 75

Reltio

OCTOBER 9, 2022

Improve Your Company’s Big Data Management for Increased ROI. quintillion bytes of data is created on the internet every day. Even the data that matters to your business is usually unstructured and disorganized, with lots of duplicates and inaccuracies. What is Big Data? The Five Vs of Big Data.

Big data 52

Big data MDM Unstructured data Analytics 52

IBM Big Data Hub

OCTOBER 16, 2023

ML also helps businesses forecast and decrease customer churn (the rate at which a company loses customers), a widespread use of big data. For instance, email management automation tools such as Levity use ML to identify and categorize emails as they come in using text classification algorithms.

Marketing 51

Marketing Data science e-Discovery Artificial Intelligence 51

IBM Big Data Hub

FEBRUARY 2, 2023

In addition, companies have complex data security requirements. To mitigate these complexities, organizations should evaluate whether a hybrid-cloud version of their existing data warehouse vendor can satisfy their use cases, before considering a move to a different platform.

Cloud 57

Cloud Analytics Unstructured data Compliance 57

IBM Big Data Hub

OCTOBER 12, 2023

They’re built on machine learning algorithms that create outputs based on an organization’s data or other third-party big data sources. Sometimes, these outputs are biased because the data used to train the model was incomplete or inaccurate in some way. And that makes sense.

Government 81

Government Analytics Metadata Compliance 81

John Battelle's Searchblog

AUGUST 13, 2013

But we will need tools that pull this together; maybe something more along the lines of Mint. Bruce Schneier walks us through the implicit business models that got us into the current surveillance state: “Imagine the government passed a law requiring all citizens to carry a tracking device. Other Agencies Clamor for Data N.S.A.

Big data 95

Big data Insurance Manufacturing Marketing 95

IBM Big Data Hub

AUGUST 7, 2023

However, existing blockchain databases lack efficient tools for multiple parties to control shared data on the ledger. For instance, in response to sustainability trends, product manufacturers may need to prove the carbon footprint of their products to regulators and clients.

Blockchain 66

Blockchain Government Authentication Manufacturing 66

IBM Big Data Hub

AUGUST 8, 2023

This ambitious bill, largely managed by the US Department of Transportation, will distribute USD 1 trillion to fund construction, manufacturing initiatives and public works. AI and IoT tools enable maintenance managers to monitor the health and performance of their assets in real-time.

Artificial Intelligence 69

Artificial Intelligence IoT Compliance Communications 69

IBM Big Data Hub

OCTOBER 31, 2023

Electronic design automation (EDA) is a market segment consisting of software, hardware and services with the goal of assisting in the definition, planning, design, implementation, verification and subsequent manufacturing of semiconductor devices (or chips). This area of focus is known as design for manufacturability (DFM).

Cloud 90

Cloud Computer and Electronics Manufacturing Marketing 90

Data Matters

AUGUST 24, 2018

NAIC Continues its Evaluation of Insurers’ Use of Big Data . The NAIC is also considering insurers’ use of big data in underwriting life insurance products. The Big Data (EX) Working Group heard a presentation from LIMRA regarding how insurers are utilizing consumer data in underwriting life insurance products.

Insurance 60

Insurance Big data e-Delivery Risk 60

ARMA International

SEPTEMBER 13, 2021

This discussion will include methods, tools, and techniques such as using personae and identifying use cases that have high business value, while minimizing project risks. More likely, the organization will resist DT – its new tools and processes to support new business models. This is a best-case scenario. Cloud-First.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

IBM Big Data Hub

OCTOBER 20, 2023

AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually. AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models.

Data science 77

Data science Manufacturing Artificial Intelligence Retail 77

IBM Big Data Hub

FEBRUARY 6, 2024

Management software All cloud computing models leverage various software tools, including a centralized management platform (CMP). A CMP creates a single pane of glass (SPOG) that provides enterprise-wide visibility into multiple sources of information and data. Cloud-native applications are deployed in containers.

Cloud 107

Cloud Digital transformation e-Delivery Compliance 107

DLA Piper Privacy Matters

OCTOBER 1, 2019

The benefits are enormous, as digital communication facilitates exchanges and searches, and enhances consumer choices not only in purchasing consumer goods, but also in finance, healthcare, and producing industries from manufacture to agriculture. 13-14), not unlike traditional newspapers, which were known to be left or right.

Marketing 40

Marketing Agriculture Artificial Intelligence IT 40

IBM Big Data Hub

SEPTEMBER 7, 2023

And just as granite is a strong, multipurpose material with many uses in construction and manufacturing, so we at IBM believe these Granite models will deliver enduring value to your business. We have developed governance procedures for incorporating data into the IBM Data Pile which are consistent with IBM AI Ethics principles.

Artificial Intelligence 105

Artificial Intelligence Unstructured data Risk Compliance 105

IBM Big Data Hub

OCTOBER 2, 2023

Audi, a renowned German automobile manufacturer, stands proudly as a symbol of luxury, performance and cutting-edge automotive technology. The search for a comprehensive solution for a complex process As a manufacturing organization, they faced numerous challenges in their contemporary setting.

Analytics 94

Analytics Data structuring Manufacturing Metadata 94

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. and epidemiologists in South Africa.

IT 52

IT Data collection Analytics Military 52

IBM Big Data Hub

JUNE 28, 2023

Large-scale and complex datasets are increasingly being considered, resulting in some significant challenges: Scale of data integration: It is projected that tens of millions of whole genomes will be sequenced and stored in the next five years. What is Amazon Omics?

Analytics 66

Analytics Cloud Marketing Access 66

IBM Big Data Hub

MARCH 28, 2024

As cloud computing continues to transform the enterprise workplace, private cloud infrastructure is evolving in lockstep, helping organizations in industries like healthcare, government and finance customize control over their data to meet compliance, privacy, security and other business needs. billion by 2033, up from USD 92.64

Cloud 106

Cloud Energy and Utilities Compliance Privacy 106

IBM Big Data Hub

SEPTEMBER 20, 2023

These include data ingestion, data selection, data pre-processing, FM pre-training, model tuning to one or more downstream tasks, inference serving, and data and AI model governance and lifecycle management—all of which can be described as FMOps.

Cloud 89

Cloud Data science Artificial Intelligence Analytics 89

IBM Big Data Hub

JUNE 29, 2023

Manufacturing has undergone a major digital transformation in the last few years, with technological advancements, evolving consumer demands and the COVID-19 pandemic serving as major catalysts for change. Here, we’ll discuss the major manufacturing trends that will change the industry in the coming year. Industry 4.0

Manufacturing 58

Manufacturing Artificial Intelligence Energy and Utilities Digital transformation 58

Positively RIM

MAY 5, 2015

The following article appears -- in slightly different form -- as the lead contribution to a larger work on Information Governance published online by the International Legal Technology Association. Find it at [link] Written with assistance from Ronke' Ekwensi The whole is more than the sum of its parts: That’s Information Governance.

IT 40

IT Information governance Government Communications 40

IBM Big Data Hub

AUGUST 15, 2023

A common phrase you’ll hear around AI is that artificial intelligence is only as good as the data foundation that shapes it. Therefore, a well-built AI for business program must also have a good data governance framework. Doing so allows your organization the ability to scale with trust and transparency.

Artificial Intelligence 79

Artificial Intelligence IT Customer Experience Government 79

IBM Big Data Hub

FEBRUARY 8, 2024

1 Since the 1990s, continued innovation in energy production and government energy policies, such as tax incentives, have spurred the growth of the solar energy industry and solar energy use. The company, which has also invested in on-site solar photovoltaic systems, uses software to streamline data on its renewable energy efforts.

Energy and Utilities 78

Energy and Utilities Manufacturing Agriculture Paper 78

IBM Big Data Hub

MAY 10, 2023

Cybersecurity costs continue to grow, as do regulation and governance requirements. This includes investing in spatial design skills and applying them to product engineering, field services, manufacturing, and operations, and implementing an enterprise simulation platform to leverage secure data and create new digital twins.

Manufacturing 72

Manufacturing Encryption Cloud Security 72

John Battelle's Searchblog

JUNE 19, 2018

All of these companies, which span magazines, digital publishing tools, events, and advertising technology platforms, have been active participants in what is broadly understood to be the “technology industry” in the United States and, on several occasions, abroad as well. Examples: [link] ; [link] ; [link] ; [link] ; [link] ).

Government 67

Government Manufacturing IT Privacy 67

Reltio

JULY 23, 2019

How did you get into data management and what drove you to set up a data management company? I was trained in Oracle relational databases and GUI tools to deliver group-wide Banking Systems. Ethical data management means you need data governance and data security by design – these initiatives are hard to retrofit.

MDM 40

MDM Cloud Analytics Marketing 40