IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Government 94

Government Metadata Access Risk 94

IBM Big Data Hub

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.

Government 83

Government e-Delivery Compliance Access 83

Hunton Privacy

NOVEMBER 23, 2021

On November 18, 2021, the European Data Protection Board (“EDPB”) released a statement on the Digital Services Package and Data Strategy (the “Statement”).

Artificial Intelligence 111

Artificial Intelligence Big data Personal data Marketing 111

IBM Big Data Hub

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

Analytics 57

Analytics Artificial Intelligence Big data Cloud 57

IBM Big Data Hub

APRIL 12, 2022

My first task as a Chief Data Officer (CDO) is to implement a data strategy. Over the past 15 years, I’ve learned that an effective data strategy enables the enterprise’s business strategy and is critical to elevate the role of a CDO from the backroom to the boardroom. A data-literate culture.

Compliance 84

Compliance Cloud Mining Government 84

IBM Big Data Hub

DECEMBER 16, 2022

At the same time, governments around the world are continuously evaluating and implementing new AI guidelines and AI regulation frameworks. We think that businesses have an opportunity to act now to put guardrails in place internally to govern how AI is developed and deployed.

Government 118

Government Artificial Intelligence Metadata Data collection 118

IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The evolution of a multi-everything landscape, and what that means for data strategy.

Analytics 57

Analytics Cloud Artificial Intelligence Government 57

Collibra

JULY 13, 2023

They say, “Of course, data is very important.” Yet, when I push further, they often say it’s someone else’s job to look after the data. They say, “Bob or Mary is ensuring good data management with governance, quality, lineage. Data is their responsibility.” So what comes first: The data or the model?

Government 85

Government Data science Artificial Intelligence Analytics 85

Information Governance Perspectives

MAY 2, 2019

At the very heart of all the buzz surrounding “big data and artificial intelligence (AI) lives a universal truth- Information is the critical asset of every organization. Enterprises are flying blind if they don’t have an information management strategy.

Information governance 40

Information governance Artificial Intelligence Big data Government 40

IBM Big Data Hub

JANUARY 25, 2023

In our last blog , we introduced Data Governance: what it is and why it is so important. In this blog, we will explore the challenges that organizations face as they start their governance journey. Organizations have long struggled with data management and understanding data in a complex and ever-growing data landscape.

Government 52

Government Data Privacy Compliance Access 52

AIIM

SEPTEMBER 12, 2018

GDPR Compliance Starts with Data Discovery. GDPR and the Data Governance Imperative. Digital data pervades virtually every aspect of our lives. IDC estimates that by 2025 digital data will grow to 163 zettabytes , 80% of which will be created by businesses. The Information Governance Imperative.

GDPR 91

GDPR Government Information governance Compliance 91

IBM Big Data Hub

APRIL 8, 2024

In other words, they need a robust digital product lifecycle management (PLM) strategy. The key foundation of a strong PLM strategy is healthy and orderly product data, but data management is where enterprises struggle the most. Data is an asset, but to provide value, it must be organized, standardized and governed.

Government 61

Government Sales Customer Experience Compliance 61

IBM Big Data Hub

SEPTEMBER 27, 2022

Add navigating complex compliance regulations and standards to the mix, and the need for a solid and trustworthy AI strategy becomes clear. To scale use of AI in a responsible manner requires AI governance, the process of defining policies and establishing accountability throughout the AI lifecycle. The principles of AI ethics.

Government 52

Government Compliance Data science Financial Services 52

Thales Cloud Protection & Licensing

NOVEMBER 2, 2020

Strategies and Best Practices for Protecting Sensitive Data. Data has been migrating from traditional data centers to third-party hosted environments, private/public cloud infrastructures and Software-as-a-Service (SaaS) applications by leaps and bounds. Selecting the right data security strategy.

Encryption 62

Encryption Data breaches Compliance Big data 62

IBM Big Data Hub

MARCH 4, 2024

While many organizations have implemented AI, the need to keep a competitive edge and foster business growth demands new approaches: simultaneously evolving AI strategies, showcasing their value, enhancing risk postures and adopting new engineering capabilities. This requires a holistic enterprise transformation. times higher ROI.

Artificial Intelligence 107

Artificial Intelligence Cloud Government Risk 107

IBM Big Data Hub

NOVEMBER 20, 2017

However, recent Aberdeen research suggests that foundational activities to protect, oversee and manage the data environment through a unified approach to data governance can produce enticing results. Companies need to make choices and manage investment tradeoffs.

Government 80

Government IT 80

IBM Big Data Hub

OCTOBER 3, 2017

Companies have a choice when it comes to their strategy for data governance. Aberdeen research shows that it can be onerous and bureaucratic, or it can be liberating and empowering.

Government 88

Government IT 88

IBM Big Data Hub

JANUARY 25, 2024

Business leaders are eager to redesign their business strategies to better serve customers, patients, employees, partners or citizens more efficiently and improve the overall experience. Enable governance that accounts for both the technologies adopted and the enterprise AI is not a monolith.

Artificial Intelligence 105

Artificial Intelligence Communications Education Risk 105

CGI

JUNE 15, 2018

Solving the big data challenge in tax administration. For many years, one of the biggest challenges faced in tax administration was figuring out how to capture the data needed to effectively assess and collect taxes owed to the government. But there is a better way.

Big data 40

Big data Analytics Compliance Government 40

CGI

JUNE 15, 2018

Solving the big data challenge in tax administration. For many years, one of the biggest challenges faced in tax administration was figuring out how to capture the data needed to effectively assess and collect taxes owed to the government. Fri, 06/15/2018 - 03:42. But there is a better way.

Big data 40

Big data Analytics Compliance Government 40

eSecurity Planet

JANUARY 21, 2021

Governance, risk, and compliance (GRC) software helps businesses manage all of the necessary documentation and processes for ensuring maximum productivity and preparedness. Further, managing the short-term and long-term policies and procedures of your organization can be challenging without an effective GRC strategy in place.

Compliance 57

Compliance Risk Government Retail 57

IBM Big Data Hub

NOVEMBER 14, 2023

IBM named a Leader In the report, Forrester Research evaluated 15 digital process automation (DPA) providers against 26 criteria in three categories: Current offering, Strategy and Market presence. In addition, IBM received the highest possible score in vision, innovation and partner ecosystem in the Strategy category.

Cloud 118

Cloud Customer Experience Marketing Government 118

IBM Big Data Hub

FEBRUARY 8, 2024

The term ESG, or environmental, social and governance , is well-known in the investor community. However, it wasn’t until the 1990s that ESG considerations started to appear in mainstream investment strategies. Some strategies focus on excluding industries or organizations that do not meet certain ESG criteria.

Government 86

Government IT Risk Security 86

AIIM

FEBRUARY 22, 2018

Despite this declared importance – 62% say that “Archiving and long-term digital preservation is a key part of our enterprise information governance and management strategy” -- the reality in most financial organizations is very different. 3 -- Potential opportunities tied to digital preservation are not confined to just big data.

Digital preservation 93

Digital preservation Insurance Financial Services Digital transformation 93

Data Matters

JANUARY 22, 2024

It responds to an increase in cyber-attacks in the EU over the last few years – in particular the rise in software supply chain attacks which have tripled over the last year –as well as the significant rise in digital and connected products in daily life which magnifies the risk of such attacks.

Marketing 97

Marketing Cloud Privacy Cybersecurity 97

IBM Big Data Hub

APRIL 22, 2024

To drive real change, it’s crucial for individuals, industries, organizations and governments to work together, using data and technology to uncover new opportunities that will help advance sustainability initiatives across the globe. This Earth Day, we are calling for action to conserve our scarcest resource: the planet.

Energy and Utilities 85

Energy and Utilities IoT Data collection Analytics 85

erwin

JANUARY 17, 2020

In the modern context, data modeling is a function of data governance. While data modeling has always been the best way to understand complex data sources and automate design standards, modern data modeling goes well beyond these domains to accelerate and ensure the overall success of data governance in any organization.

Metadata 138

Metadata Digital transformation Unstructured data Artificial Intelligence 138

erwin

AUGUST 13, 2020

Here are some of the issues and questions being raised: Growth : How do we define growth strategies (e.g., Customer Engagement : How can we better engage with customers including brand, loyalty, customer acquisition and product strategy? data protection, personal and sensitive data, tax issues and sustainability/carbon emissions)?

Artificial Intelligence 143

Artificial Intelligence Healthcare Compliance Financial Services 143

Collibra

FEBRUARY 7, 2019

Viewed more broadly, the data associated with a patient’s engagement with a healthcare provider – for example, admissions records and procedures performed – can provide insights into what the future strategy of the organization should be. Understanding the data issues healthcare faces. Being open to data opportunities.

Government 40

Government Artificial Intelligence Compliance Data Privacy 40

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. Apply real-time data in marketing strategies. Expanding big data.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

AIIM

FEBRUARY 25, 2021

We believe this means the practice of managing information and records can no longer be seen as solely an exercise for compliance – it needs to go beyond compliance and a key component in your business strategy. quality data, and conflicting semantics are the norm. Silos, poor?quality

Compliance 132

Compliance Records Management Big data Cloud 132

IBM Big Data Hub

FEBRUARY 5, 2024

A cloud migration, however, is a huge undertaking that requires thorough planning and execution of a comprehensive strategy to successfully achieve business goals. Security: Leading cloud providers offer secure environments that comply with applicable industry standards and government regulations.

Cloud 70

Cloud Data migration Digital transformation Risk 70

IBM Big Data Hub

DECEMBER 12, 2023

Additionally, emissions management includes developing strategies for handling emergencies related to hazardous materials. As stated by VPI , “There are always inherent dangers, but you can make them safe places to work by employing a robust and efficient maintenance strategy and safety systems of work.”

Compliance 77

Compliance Digital transformation Risk Manufacturing 77

AIIM

AUGUST 21, 2019

Big data forces are pushing the information and records management infrastructure in most organizations to a breaking point, leading to challenges in organizational performance and even disruption in business. Automate governance and compliance. Protect information assets. Take advantage of cloud and mobile.

Digital transformation 103

Digital transformation Records Management Customer Experience Big data 103

IBM Big Data Hub

DECEMBER 15, 2023

One common corporate sustainability strategy is known as the triple bottom line. A play on the business term “the bottom line,” otherwise referred to as profit, the triple bottom line adds two more players to the mix of modern-day business strategy. ESG regulations) while simultaneously committing to social responsibility.

Manufacturing 73

Manufacturing Education Communications Marketing 73

IBM Big Data Hub

MARCH 27, 2024

Leaving women out of the conversation and coverage not only overlooks the diverse perspectives necessary for responsible innovation, but also fails to recognize the vital role of ethics, governance, and consideration of societal implications in the development of AI.

Government 98

Government Risk IT Artificial Intelligence 98

IBM Big Data Hub

DECEMBER 13, 2023

This claim is often used to encourage asset-intensive industries to evolve their maintenance strategies, invest in instrument equipment and leverage analytics to adopt predictive maintenance approaches. Imagine you could also capture the “why” and create strategies to predict and prevent the root causes of failure.

CMS 69

CMS Libraries Analytics Risk 69