IBM Big Data Hub

JANUARY 22, 2024

Any company operating in the EU or handling EU residents’ data must adhere to GDPR requirements. To understand compliance requirements, organizations must understand what these terms mean in this context. Supervisory authorities are the regulatory bodies that enforce GDPR requirements.

Measurement 89

Measurement Risk Data Processing Data Collection 89

Rocket-Powered Data Science

FEBRUARY 15, 2023

These changes may include requirements drift, data drift, model drift, or concept drift. A business-disruptive ChatGPT implementation definitely fits into this category: focus first on the MVP or MLP. Those F’s are: Fragility, Friction, and FUD (Fear, Uncertainty, Doubt). Conduct market research. Choose the right development partner.

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

AWS Big Data

OCTOBER 10, 2023

Currently, these requirements are hard-coded and managed manually for each set of users. It’s required to ensure the governance is met as defined. data_key is a key column and should meet key requirements of being unique and complete. OkTank wants to scale this and is looking for ways to control governance in an automated way.

Data Quality 91

Data Quality Data Governance Data Lake Testing 91

IBM Big Data Hub

FEBRUARY 23, 2024

Yet many organizations still struggle to meet compliance requirements, and EU data protection authorities do not hesitate to hand out penalties. Many businesses find it hard to implement GDPR requirements because the law is not only complex but also leaves a lot up to discretion. Irish regulators hit Meta with a EUR 1.2

Measurement 83

Measurement Risk Data Collection Data Processing 83

DataRobot

AUGUST 30, 2021

As part of a blog post series on the topic of building trust in AI , we recently talked about how DataRobot organizes trust in an AI system into three main categories: performance, operations, and ethics. In each of these categories is a set of dimensions of trust. Humility as a Dimension of Trust in Operations.

Uncertainty 90

Uncertainty Modeling Measurement Software 90

AWS Big Data

APRIL 24, 2023

However, many use cases, like performing change data capture (CDC) from an upstream relational database to an Amazon S3-based data lake, require handling data at a record level. category – This column represents the category of an item. Specify the bucket name as iceberg-blog and leave the remaining fields as default.

Data Lake 80

Data Lake Data Governance Cost-Benefit Machine Learning 80

Cloudera

JANUARY 7, 2021

And in the world of e-commerce, assigning product descriptions to the most fitting product category ensures quality control. . While dozens of techniques now exist for the fundamental task of text classification, many of them require massive amounts of labeled data in order to prove useful.

Machine Learning 104

Machine Learning Deep Learning IT 104

Cloudera

AUGUST 20, 2020

The imperative to deliver meaningful change and value through innovation is why the Data for Enterprise AI category at the Data Impact Awards has never been more of the moment than it is today. They require buy-in from the executive level and they require the right people with the right knowledge to be there.

Enterprise 120

Enterprise Experimentation Uncertainty Deep Learning 120

Laminar Security

DECEMBER 13, 2023

For example, an AI system could be trained to classify emails into categories like “sensitive” or “restricted” based on patterns it has learned from a training dataset. It could be further trained to classify data into important categories such as PII, PHI and PCI, increasing efficiency in both data classification, and ultimately security.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

CIO Business Intelligence

SEPTEMBER 12, 2023

Our DLP Cloud has out-of-the-box templates that allow blocking of data across key regulatory categories, e.g., HIPAA, PCI, PII, etc. Please see our Symantec Enterprise Blog and our Generative AI Protection Demo for more details. To learn more, read our Symantec Enterprise Blog and our Generative AI Protection Demo.

Risk 131

Risk Enterprise Software Marketing 131

IBM Big Data Hub

NOVEMBER 8, 2023

Though the rule doesn’t go into effect until January 2026, companies must proactively and strategically prepare their supply chain now, as this complex regulation will require companies to collect and maintain detailed information about the ingredients, processing and distribution of certain products.

Cost-Benefit 115

Cost-Benefit Consulting Risk Reporting 115

Cloudera

MAY 24, 2022

If you have followed my prior blog posts , you know that I have a keen interest in the topic of climate risk modeling and how it can help assess the economic impacts of climate change. Balance sheet management : The second category includes a firm’s external operations — their book of business and investments.

Risk 83

Risk Measurement Modeling Risk Management 83

Cloudera

JANUARY 18, 2022

For 2021, the awards will include a new category: People First. Entrants in this category were asked to demonstrate how they have addressed the world’s “most difficult workplace and societal challenges” with solutions aimed at transforming work culture and society as a whole. Quarantines. Remote work.

Data Lake 91

Data Lake Digital Transformation Data-driven Dashboards 91

Cloudera

OCTOBER 6, 2022

CIO blog post : “Digital transformation is a foundational change in how an organization delivers value to its customers.”. Certain technologies require skills to maintain them that are harder to find, which is a further risk as those resources move towards retirement age. appeared first on Cloudera Blog.

Digital Transformation 84

Digital Transformation Cost-Benefit Data Lake Machine Learning 84

DataKitchen

JULY 12, 2023

To understand the time crunch that data engineers face and how it prevents them from testing their data sufficiently, we can think about three categories of data tests, using linguistics as an analogy: data syntax vs. semantics vs. pragmatics. Each unit will have unique data sets with specific data quality test requirements.

Data Quality 130

Data Quality Testing Manufacturing Finance 130

IBM Big Data Hub

MARCH 4, 2024

In 2024, companies confront significant disruption, requiring them to redefine labor productivity to prevent unrealized revenue, safeguard the software supply chain from attacks, and embed sustainability into operations to maintain competitiveness. This requires a holistic enterprise transformation. Do you use gen AI out of the box?

Enterprise 107

Enterprise ROI Risk Strategy 107

AWS Big Data

FEBRUARY 16, 2024

Furthermore, they are adopting security models that require access to the data lake through their private networks. For Service category , select AWS services. For Service category , select AWS services. For Service category , select AWS services. Redshift Spectrum uses the AWS Glue Data Catalog as a Hive metastore.

Data Lake 97

Data Lake Data Warehouse Testing Business Objectives 97

Cloudera

DECEMBER 11, 2020

The Data Security and Governance category, at the annual Data Impact Awards, has never been so important. But there are organizations that are already ahead of the game when it comes to Security and Governance, and they were recognized and celebrated in our seventh category of the Awards this year. .

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

Alation

JULY 19, 2021

This requires a metadata management solution to enable data search & discovery and data governance, both of which empower access to both the metadata and the underlying data to those who need it. To manage the sheer volume of metadata, a new category has emerged called active metadata. This requires a metadata management process.

Metadata 105

Metadata Management Data Governance Machine Learning 105

IBM Big Data Hub

JANUARY 25, 2024

” However, sometimes AI requires clear guardrails before one can agree with “good.” Adopting responsible AI requires a multi-stakeholder strategy as affirmed by top international resources including NIST, OECD , the Responsible Artificial Intelligence Institute , the Data and Trust Alliance and IEEE.

Strategy 105

Strategy Risk Cost-Benefit Business Objectives 105

IBM Big Data Hub

MAY 8, 2023

This blog continues the discussion, now investigating the risks of adopting AI and proposes measures for a safe and judicious response to adopting AI. Risk and limitations of AI The risk associated with the adoption of AI in insurance can be separated broadly into two categories—technological and usage.

Insurance 74

Insurance Risk Testing Data Quality 74

IBM Big Data Hub

AUGUST 15, 2023

The functionality has been expanded to capture savings and investments across various categories, including accounts, resource groups, regions and action types (among others). This new approach ensures greater accuracy and transparency, effectively showcasing the tangible benefits achieved.

Optimization 65

Optimization Measurement Cost-Benefit Dashboards 65

IBM Big Data Hub

JULY 26, 2023

Instead of relying on the previous year’s budget, ZBB requires you to evaluate and justify every expense from the ground up, justifying its necessity and alignment with strategic goals. By evaluating each expense category, decision-makers gain better visibility into the cost structure of the organization.

Cost-Benefit 61

Cost-Benefit Optimization Visualization Data-driven 61

Cloudera

JANUARY 26, 2024

Traditionally we see three main roles in a data governance office: Data steward: Defines the business rules for data use according to corporate guidance and data governance requirements. NOTE: The creation of the business metadata attributes is not included in the blog but the steps can be followed here.

Metadata 72

Metadata Data Governance Management Finance 72

Cloudera

NOVEMBER 24, 2020

This year, OVO has done just that, setting itself apart to win the Data Champions category at our 2020 Data Impact Awards. This category recognizes organizations whose IT administration provides the agility a business requires, without putting the business at risk, and embraces a pattern of technology adoption that prioritizes speed.

Insurance 71

Insurance Marketing Risk Finance 71

CIO Business Intelligence

APRIL 30, 2024

Start a blog or contribute articles to media sites and other established blogs. Soft skills and collaborative competencies are broad categories, so CIOs should focus on the ones that resonate with their leadership styles. Explain your accomplishments and what you’ve done in relationship to the industry, company, and role.

IT 72

IT Technology Advertising Marketing 72

Cloudera

MAY 24, 2022

That said, we recognize that some customers value an option to upgrade to a stable release that will not require major upgrades for an extended period – even at the cost of those innovative new features. Customers that fit into the latter category tend to have complex implementations or run mission-critical workloads on CDP.

Testing 75

Testing Enterprise Software Modeling 75

Rocket-Powered Data Science

JULY 6, 2021

In this post, we will examine ways that your organization can separate useful content into separate categories that amplify your own staff’s performance. If you include the title of this blog, you were just presented with 13 examples of heteronyms in the preceding paragraphs. Before we start, I have a few questions for you.

Strategy 266

Strategy Machine Learning Metadata Knowledge Discovery 266

Cloudera

AUGUST 12, 2021

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. The post The Foundations of a Modern Data-Driven Organisation: Change from Within (part 2 of 2) appeared first on Cloudera Blog. Conclusion.

Data-driven 107

Data-driven Manufacturing Insurance Risk Management 107

DataRobot

SEPTEMBER 30, 2021

In this installment of our blog post series, we will explore the question of why trust is an essential component to any conversation around AI. To satisfy the needs of different stakeholders, it can be helpful to organize trust in an AI system into three main categories: 1. Performance, Operations, and Ethics.

Cost-Benefit 52

Cost-Benefit Machine Learning Interactive Modeling 52

Cloudera

MARCH 4, 2024

Traditionally we see three main roles in a data governance office: Data steward: Defines the business rules for data use according to corporate guidance and data governance requirements. NOTE: The creation of the business metadata attributes is not included in the blog but the steps can be followed here.

Metadata 52

Metadata Data Governance Management Finance 52

Cloudera

JUNE 7, 2023

The revised ZTMM is organized by five categories or pillars: identity, devices, networks, applications and workloads, and data, and four levels of maturity: traditional, initial, advanced, and optimal. With Apache Atlas, Cloudera enables governance controls that effectively address enterprise-scale compliance requirements.

Metadata 78

Metadata Data Lake Optimization Modeling 78

Cloudera

JULY 21, 2021

This is the category for Cloudera customers whose IT administration provides the agility business requires, without putting organizations at risk, and who are embracing a pattern of technology adoption that prioritizes speed. Last year’s awards saw OVO crowned as Data Champions.

Insurance 92

Insurance Data-driven Machine Learning Marketing 92

IBM Big Data Hub

MAY 12, 2023

A global fast-moving consumer goods (FMCG) enterprise needed to modernize its product portfolio, focusing on high-growth categories like pet care, coffee and consumer health. Approaching these challenges and achieving goals at the unique scale required for each organization requires both a modernization roadmap and a timeframe.

Consulting 81

Consulting Cost-Benefit Optimization Dashboards 81

CIO Business Intelligence

SEPTEMBER 29, 2023

Analyzing the hiring behaviors of companies on its platform, freelance work marketplace Upwork has AI to be the fastest growing category for 2023, noting that posts for generative AI jobs increased more than 1000% in Q2 2023 compared to the end of 2022, and that related searches for AI saw a more than 1500% increase during the same time.

Deep Learning 143

Deep Learning Machine Learning Modeling Consulting 143

DataRobot

OCTOBER 26, 2021

This blog post will explore some of the biggest obstacles to earning trust in AI systems. DataRobot organizes the concept of trust in an AI system into three main categories: performance, operations, and ethics. Dimensions of trust. Transparency. As with all relationships, the first step to establishing trust is transparency.

Machine Learning 52

Machine Learning Modeling Technology IT 52

IBM Big Data Hub

DECEMBER 15, 2022

One challenge to implementing conversational AI from core Natural Language AI technology is that it requires expensive technical specialists. These specialists (data analytics, AI and graph technologies) are often in short supply and typically require annual salaries of $175,000 or more. [ii] appeared first on Journey to AI Blog.

Visualization 71

Visualization Cost-Benefit ROI Interactive 71