IBM Big Data Hub

NOVEMBER 17, 2017

Organizations everywhere, from massive governments to the smallest start-ups, are in a race for the best-possible data expertise and tools. To help your team understand the data science journey, IBM created the Data Science for All webcast.

Data science 88

Data science IT Government 88

Collibra

DECEMBER 19, 2023

As organizations increasingly embrace AI, understanding and implementing effective enterprise AI governance is becoming more and more critical to sustaining AI success and mitigating risk. Today, AI-driven organizations can leverage AI governance to mitigate risk, adhere to legal requirements and protect privacy.

Government 52

Government Risk Compliance Privacy 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 75

Government Risk Artificial Intelligence Metadata 75

Collibra

NOVEMBER 23, 2022

We created our Data Intelligence Assessment tool with IDC. It rates an organization’s maturity based on four core pillars: Data Literate Culture, Data Analytics, Data Management, and Data Valuation. Collibra Data Office. In addition, 30% to 50% of the organization is tracking multiple data metrics.

Analytics 105

Analytics Data science Government Marketing 105

erwin

APRIL 15, 2020

During this coronavirus emergency, we are all being deluged by data from politicians, government agencies, news outlets, social media and websites, including valid facts but also opinions and rumors. On a business level, decisions based on bad external data may have the potential to cause business failures.

Government 134

Government Data science Metadata Analytics 134

Collibra

JUNE 1, 2022

Collibra Adaptive Data and Analytics Governance is available for a free test drive! The foundation of a data-driven organization. Data is more valuable than ever. The key is adaptive data and analytics governance. At Collibra, we believe it’s the next big step forward in data governance. .

Analytics 96

Analytics Government Compliance Metadata 96

eSecurity Planet

JULY 16, 2021

Incident response tools can help implement incident response plans and elevate response plans from a manual to an automated basis, sandboxing threats and shutting down ports and access and the like. The functions contained within incident response tools and services vary widely from vendor to vendor. FireEye Mandiant. Secureworks.

Analytics 98

Analytics Data science Cloud Artificial Intelligence 98

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. IBM Research has been developing trustworthy AI tools since 2012. AI governance: From principles to actions.

Government 52

Government Compliance Data science Financial Services 52

Collibra

AUGUST 30, 2022

It takes a lot of work, time, and money—especially when you don’t have the right tools to help you along the way. That’s why we’ve created this technical solution workbook: “5 Steps to Successfully Deliver Adaptive Data & Analytics Governance.” Download the workbook.

Analytics 52

Analytics Government Data science Compliance 52

IBM Big Data Hub

MAY 9, 2023

Success in delivering scalable enterprise AI necessitates the use of tools and processes that are specifically made for building, deploying, monitoring and retraining AI models. Building responsible AI requires upfront planning, and automated tools and processes designed to drive fair, accurate, transparent and explainable results.

Data science 75

Data science Artificial Intelligence Metadata Compliance 75

Collibra

JANUARY 1, 2021

Creating a data governance framework is crucial to becoming a data-driven enterprise because data governance brings meaning to an organization’s data. It adds trust and understanding to data, accelerating digital transformation across the enterprise. What is a data governance framework?

Government 59

Government Compliance Data Privacy Privacy 59

Collibra

AUGUST 7, 2020

From a functional perspective, when we refer to a ‘cloud data platform’ we reference all the tools that an enterprise needs to collect, process, store, analyze and visualize data. GCP offers the ability to on-board streaming data via Pub/Sub and IoT Core services, and provides a range of batch upload options via Data Transfer.

Cloud 81

Cloud Government Unstructured data Analytics 81

Collibra

FEBRUARY 16, 2022

Data governance is the practice of managing and organizing data and processes to enable collaboration and compliant access to data. Data governance allows users to create value from data assets even under constraints for security and privacy. No , you can’t use the data for that . No, no, no.

Government 52

Government IT Compliance Privacy 52

IBM Big Data Hub

SEPTEMBER 20, 2022

Automated, integrated data science tools help build, deploy, and monitor AI models. With AI governance solutions, a data scientist using standard, open Python libraries and frameworks can have facts about the model building and training automatically collected. Processes that provide AI governance.

Data science 57

Data science Metadata Government Access 57

Collibra

JUNE 27, 2023

1) How can institutions of higher education use data to start making strategic decisions? It allows the creation of a federated data marketplace for faster insights and supports popular business intelligence tools such as Tableau.

Education 95

Education Cloud Digital transformation Data science 95

IBM Big Data Hub

MAY 18, 2023

This report outlines the combination of traditional decision automation tools with machine learning models and other technologies. ” “IBM has strengths in decision intelligence technologies, authoring tools, explainability, and ModelOps.”

Data science 92

Data science Customer Experience Marketing Cloud 92

John Battelle's Searchblog

JANUARY 25, 2019

My current work is split between two projects: One has to do with data governance, the other political media. Big data, data breaches, data mining, data science…Today, we’re all about the data. And second… Governance. But Governance? Data Governance.

Government 92

Government IT Marketing ROT 92

Data Matters

JUNE 27, 2022

The conference coincided with London Tech Week, during which Chris Philp, UK Minister for Tech and the Digital Economy, unveiled a new UK Digital Strategy: the UK government’s vision for regulating digital markets, involving a monitoring framework and outcomes-focused regulation.

Marketing 158

Marketing Data science Privacy Artificial Intelligence 158

IBM Big Data Hub

OCTOBER 16, 2023

Similarly, security data that includes information gathered in geographic areas that are predominantly black could create racial bias in AI tools used by police. Bias can also result from how the training data is labeled. Fairness—AI governance often includes methods that aim to assess fairness, equity and inclusion.

Artificial Intelligence 74

Artificial Intelligence Government Data science Data collection 74

Bill Schmarzo - Dell EMC

FEBRUARY 6, 2018

We have historical experiences and references to revisit in discerning what the government can do to nurture our “Analytics Revolution.” Notably, the Industrial Revolution, holds many lessons regarding the consequences of late and/or confusing government involvement and guidance (see Figure 1). Industrial Revolution Learnings.

Big data 87

Big data Artificial Intelligence Government Privacy 87

Collibra

MAY 4, 2021

This jointly developed service brings together data engineering, data science, analytics and machine learning through an open lakehouse platform. With an open data and cloud platform, users need data governance to continue to reap the benefits of the open architecture. Collibra offers: .

Cloud 64

Cloud Analytics Data science Government 64

IBM Big Data Hub

MAY 8, 2023

Mitigating the AI risks The risks posed by AI adoption highlights the need to develop a governance approach to mitigate the technical and usage risk that comes from adopting AI. This is to ensure the AI model captures data inputs and usage patterns, required validations and testing cycles, and expected outputs.

Insurance 71

Insurance Risk Artificial Intelligence Government 71

Collibra

APRIL 28, 2022

Without full visibility of your data, you can’t ever start to manage, govern, or make data easier to find. Once you have visibility of all of your data, the next challenge is to take back control of the data. So you can ensure your data is accurate, consistent, complete, and discoverable.

Metadata 52

Metadata Government Data science Analytics 52

Collibra

MAY 23, 2022

This is, hands down, the most frequently cited barrier to data democratization—especially among organizations lagging behind the industry leaders. As with any organization-wide change, there will be hurdles to overcome as you train your team on new data-related tools and processes. Outline a data governance plan.

Education 98

Education Access Data science Libraries 98

eSecurity Planet

DECEMBER 15, 2022

Unlike most other AI research projects, ChatGPT has captivated the interest of ordinary people who do not have PhDs in data science. Consider that ChatGPT could become a tool for hackers. Besides, what’s to stop other organizations – or even governments – from creating their own generative AI platform that has no guardrails?

Cybersecurity 135

Cybersecurity Phishing Data science Blockchain 135

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 98

Communications Data science Marketing Artificial Intelligence 98

erwin

JUNE 11, 2020

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. Data intelligence can encompass both internal and external business data and information. Transforming Industries with Data Intelligence.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

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. Create a list of potential tools, vendors and partnerships, evaluating their experience, reputation, pricing, etc.

Artificial Intelligence 77

Artificial Intelligence Customer Experience Cloud Government 77

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 57

Metadata Privacy Government Data Privacy 57

Bill Schmarzo - Dell EMC

FEBRUARY 6, 2018

We have historical experiences and references to revisit in discerning what the government can do to nurture our “Analytics Revolution.” Notably, the Industrial Revolution, holds many lessons regarding the consequences of late and/or confusing government involvement and guidance (see Figure 1). Industrial Revolution Learnings.

Big data 40

Big data Artificial Intelligence Government Privacy 40

Collibra

OCTOBER 13, 2022

The Data Management Capability Assessment Model (DCAM ) is a structured resource that defines and describes the capabilities needed to establish and sustain a successful data management (DM) initiative in any organization. It works as an assessment tool and serves as an industry benchmark for conducting a DCAM assessment.

Analytics 52

Analytics Cloud Metadata Government 52

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 56

Analytics Education Data science Government 56

Reltio

DECEMBER 10, 2021

“The Reltio MDM solution is part of the Connected Data Platform, which supports all data types in real time for operational, analytical, and data science use cases.”. Reltio scored well in matching, context, governance, business templates, deployment, security, and scalability.

MDM 98

MDM Analytics Digital transformation Cloud 98

IBM Big Data Hub

AUGUST 15, 2022

How does a data architecture impact your ability to build, scale and govern AI models? To be a responsible data scientist, there’s two key considerations when building a model pipeline: Bias: a model which makes predictions for people of different group (or race, gender ethnic group etc.)

Mining 62

Mining Data science Risk IT 62

Collibra

OCTOBER 14, 2021

As a result, organizations lack an enterprise data quality foundation to respond to regulatory, analytics, and AI demands in a scalable and cost-efficient way. Making sure data is of a high quality involves rules. An intelligent data quality system can evolve rules on-the-fly. Escalate with data governance workflows.

Analytics 52

Analytics Government Compliance Data science 52

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 51

Marketing Data science e-Discovery Artificial Intelligence 51

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