Reltio

JUNE 11, 2024

From biased or incomplete datasets to inconsistent formatting and errors, bad data can manifest in various forms, each posing unique challenges to the success of AI-driven projects. Whether for generative AI or predictive analytics, investing in data quality, richness, and governance is the key to “delicious” AI/ML outcomes.

Data science 52

Data science Government MDM Analytics 52

IBM Big Data Hub

OCTOBER 16, 2023

This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML).

Government 70

Government Risk Artificial Intelligence Metadata 70

IBM Big Data Hub

SEPTEMBER 27, 2022

To scale use of AI in a responsible manner requires AI governance, the process of defining policies and establishing accountability throughout the AI lifecycle. AI governance: From principles to actions. AI model governance introduces technology to implement guardrails at each stage of the AI/ML lifecycle.

Government 52

Government Compliance Data science Financial Services 52

Collibra

AUGUST 14, 2023

As we speed into a new AI era, there’s a critical element that’s often missing when organizations rush forward in hyper-competitive markets to build scalable, trusted AI programs — and that’s AI governance. An AI governance framework offers a blueprint for how to create successful AI products.

Government 52

Government Risk Financial Services Compliance 52

Collibra

JUNE 27, 2023

Many operate highly complex data ecosystems with large volumes of data spread across on-prem, hybrid, and multi-cloud environments. 1) How can institutions of higher education use data to start making strategic decisions? 1) How can institutions of higher education use data to start making strategic decisions?

Education 74

Education Cloud Digital transformation Data science 74

Collibra

APRIL 9, 2021

Given the data-intensive nature of their operations, it is natural that many insurance companies are looking towards the cloud as an infrastructure choice to help enable more agile data operations. Drivers for cloud adoption. Data governance holds key to cloud migration.

Insurance 59

Insurance Cloud Data science Analytics 59

IBM Big Data Hub

SEPTEMBER 20, 2022

But successful AI implementations require connection to high quality, accurate data that’s ready for self-service consumption by the right stakeholders. Second, you need to make sure that the data itself can be trusted. Automated, integrated data science tools help build, deploy, and monitor AI models.

Data science 56

Data science Metadata Government Access 56

IT Governance

NOVEMBER 18, 2021

With up to 82% of UK job roles requiring digital skills , the UK government has long recognised the need to support the growth of digital careers at all stages. This pipeline should include hiring and training new staff who may not have a STEM (science, technology, engineering and maths) background and developing existing employees’ skills.

Data science 111

Data science Cloud Government IT 111

IBM Big Data Hub

MAY 9, 2023

Challenges around managing risk and reputation Customers, employees and shareholders expect organizations to use AI responsibly, and government entities are starting to demand it. It drives an AI governance solution without the excessive costs of switching from your current data science platform.

Data science 72

Data science Artificial Intelligence Metadata Compliance 72

IBM Big Data Hub

MAY 18, 2023

“What these enterprises need,” the report states, “is a platform that can simultaneously enable them to harness the power of AI while enhancing and governing it with well-proven and trusted human business expertise.”

Data science 87

Data science Customer Experience Marketing Cloud 87

IBM Big Data Hub

MAY 8, 2023

For example, feeding a generative AI system such as Chat GPT with corporate data to produce a summary of confidential corporate research would mean that a data footprint would be indelibly left on the external cloud server of the AI and accessible to queries from competitors. Above all, put in a robust AI governance program.

Insurance 68

Insurance Risk Artificial Intelligence Government 68

eSecurity Planet

JULY 16, 2021

The FireEye Mandiant Automated Defense module – which will soon be spun off under the Mandiant name – combines data from the security stack with data science and machine learning capabilities to triage alerts, automatically eliminating events that don’t matter, and revealing the ones that do. FireEye Mandiant.

Analytics 120

Analytics Data science Cloud Artificial Intelligence 120

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

IBM Big Data Hub

DECEMBER 20, 2023

Read more about IBM’s AI Ethics governance framework Benefits of a successful AI strategy Building an AI strategy offers many benefits to organizations venturing into artificial intelligence integration. Establish a data governance framework to manage data effectively.

Artificial Intelligence 71

Artificial Intelligence Customer Experience Cloud Government 71

Collibra

DECEMBER 22, 2022

Most of the time, we never think about if the data is correct. We can’t see the complex data science and data engineering that’s driving these experiences. We don’t really have any way of knowing if the data is correct. The expectation that your data is trusted and reliable has never been greater.

Analytics 52

Analytics Data science Government Marketing 52

Collibra

AUGUST 23, 2023

As the data intelligence company, we’ve long anticipated broad adoption of AI, and Collibrians with data science and machine learning expertise have been working diligently on ways to apply AI/ML. AI will undeniably reinforce the requirement for data governance.”

Communications 95

Communications Data science Marketing Artificial Intelligence 95

IBM Big Data Hub

MAY 9, 2022

This architecture is agnostic to data environments, processes, utility and geography, all while integrating end-to-end data-management capabilities. A data fabric automates data discovery, governance and consumption, enabling enterprises to use data to maximize their value chain. Multicloud data integration.

Metadata 56

Metadata Privacy Government Data Privacy 56

eSecurity Planet

MAY 27, 2021

A report this month from the Government Accountability Office (GAO) found that the number of companies seeking cyber insurance coverage has steadily risen since 2016 and that insurers are increasing the prices of their policies and lowering their coverage limits as the number of cyberattacks rise. AI, told eSecurity Planet.

Insurance 128

Insurance Ransomware Risk Data science 128

IBM Big Data Hub

FEBRUARY 8, 2022

Operations and management require extensive coordination between federal, state and local governments and detailed, often disparate, reporting to each organization participating in the program. Its governing bodies, executives, educators and staff are dedicated to empowering students and their families. About PMsquare.

Analytics 55

Analytics Education Data science Government 55

IBM Big Data Hub

OCTOBER 3, 2022

And with good reason: it’s a lot of data to process effectively, and not all AI systems are created with the proper ethical guardrails in place. Organizations need to be able to trust their data science outcomes. An AI system, especially one with such an impact on healthcare, must be fair, explainable, secure and transparent.

Risk 52

Risk Data science Insurance Cloud 52

Reltio

FEBRUARY 12, 2019

With over 40 sessions featuring 60 speakers, the summit has three tracks – Modern Data Management, Personalize Customer 360, and Healthcare & Life Sciences. The best minds in industry discuss the hottest topics relevant to master data management, customer 360, data science, and business facing data-driven applications.

MDM 53

MDM Customer Experience Digital transformation Analytics 53

Information Governance Perspectives

DECEMBER 3, 2018

I interviewed him this November to discuss his thoughts on the evolution of metadata, content classification, AI, and how companies are using the new pillars of data science to break down their silos, help customers get lean and discover the hidden values in their big data sets.

Analytics 49

Analytics Data science Big data Metadata 49

Collibra

AUGUST 7, 2020

Cloud data platforms have become a key component of enterprise data architectures, playing a central role in many organizations’ digital transformation strategies. What do we mean by a cloud data platform? Why does data need governance on a cloud platform?

Cloud 81

Cloud Government Unstructured data Analytics 81

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 48

Marketing Data science e-Discovery Analytics 48

IBM Big Data Hub

JANUARY 17, 2023

We are also introducing IBM Cloud Park for Data Express. These are solutions that are aligned to the data fabric entry points. IBM Cloud Pak for Data Express solutions provide new clients with affordable and high impact capabilities to expeditiously explore and validate the path to become a data-driven enterprise.

Data science 56

Data science Cloud Government Analytics 56

eSecurity Planet

DECEMBER 19, 2023

We each need to consider how these trends may affect our organizations and allocate our budgets and resources accordingly: AI will turbo-charge cybersecurity and cyberthreats: Artificial intelligence (AI) will boost both attackers and defenders while causing governance issues and learning pains.

Cybersecurity 140

Cybersecurity Cloud Ransomware Risk 140

Adam Shostack

MAY 20, 2020

The US Government has some interesting advantages: a large collection of attractive targets, a mandate that all CFO agencies have a security process, published investments in security, a large and skilled incident response force. What fraction of incidents are covered by the top 10? What’s the relationship between #1 and #10?

Mining 49

Mining Government Phishing Cloud 49

ARMA International

SEPTEMBER 13, 2021

This means imaging the “art of the possible” for a new future using a cloud computing model to deliver transformative change. Gartner (2021) has two related definitions: Digital Transformation: “can refer to anything from IT modernization (for example, cloud computing), to digital optimization, to the invention of new digital business models.”

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

IBM Big Data Hub

NOVEMBER 13, 2023

Kubernetes , the world’s most popular open-source container orchestration platform , is considered a major milestone in the history of cloud-native technologies. But Docker lacked an automated “orchestration” tool, which made it time-consuming and complex for data science teams to scale applications.

Cloud 108

Cloud e-Delivery Big data e-Discovery 108

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 83

Cloud Data science Artificial Intelligence Analytics 83

Reltio

DECEMBER 10, 2021

Your ability to run a digital business and make insightful decisions depends heavily on how well you manage your core data. Yet, these days with the proliferation of apps and data stores across cloud and on-premises environments, managing your data is not a trivial task. Tapping into the Full Power of Cloud Computing.

MDM 98

MDM Analytics Digital transformation Cloud 98

IBM Big Data Hub

OCTOBER 20, 2023

Major cloud infrastructure providers such as IBM, Amazon AWS, Microsoft Azure and Google Cloud have expanded the market by adding AI platforms to their offerings. Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio. trillion in value.

Data science 71

Data science Manufacturing Artificial Intelligence Retail 71

IBM Big Data Hub

JULY 17, 2023

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.

Analytics 62

Analytics Data science Cloud Metadata 62

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

Collibra

OCTOBER 13, 2022

Business & Data Architecture. Data & Technology Architecture. Data Quality Management. Data Governance. Collaboration: The collaboration component ensures that the execution components are put into operation by the data producers and make data available to data consumers as required.

Analytics 52

Analytics Cloud Metadata Government 52

IBM Big Data Hub

JANUARY 17, 2023

With the prohibitive costs of high-performance analytics solutions, such as cloud data warehouses, and performance challenges associated with legacy data lakes, neither data warehousing nor data lakes satisfy the need for analytical flexibility, cost-to-performance and manageability.

Metadata 52

Metadata Analytics Unstructured data Government 52

IBM Big Data Hub

OCTOBER 4, 2023

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy. New insights and relationships are found in this combination.

Metadata 78

Metadata Analytics Artificial Intelligence Data science 78