DataKitchen

JANUARY 2, 2021

ModelOps is “ at the core of an organization’s AI strategy ” and is “ focused on operationalizing AI models, including the full life cycle management of AI decision models and AI governance.” ModelOps depends on a comprehensive data foundation enabled by data engineering practices and DataOps. Data-AI Role Alignment.

Testing 130

Testing Machine Learning Reporting Modeling 130

Cloudera

AUGUST 30, 2022

Data-fuelled innovation requires a pragmatic strategy. This blog lays out some steps to help you incrementally advance efforts to be a more data-driven, customer-centric organization. For example, providers can start by including more real-time data streams that can enhance customer interactions.

Strategy 102

Strategy Data Strategy ROI Cost-Benefit 102

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Testing and Data Observability. Download the 2021 DataOps Vendor Landscape here.

Testing 307

Testing Machine Learning Consulting Data Quality 307

datapine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

IBM Big Data Hub

FEBRUARY 7, 2024

Businesses, governments and individuals now see sustainability as a global imperative. Advanced technologies, more stringent reporting standards and stronger support from stakeholders are building momentum for eco-friendly initiatives and the incentives that encourage them. trillion to the global economy by 2050.

Reporting 96

Reporting Cost-Benefit Internet of Things Data-driven 96

erwin

OCTOBER 8, 2020

So if you’re going to move from your data from on-premise legacy data stores and warehouse systems to the cloud, you should do it right the first time. And as you make this transition, you need to understand what data you have, know where it is located, and govern it along the way. Then you must bulk load the legacy data.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

Jen Stirrup

FEBRUARY 23, 2024

To achieve AI ambitions, organizations need data and a cyber-resilient data platform to support them, and this will mean a growing need for data observability. As organizations become increasingly data-driven toward achieving AI ambitions, they recognize the need to ensure data accuracy, reliability, and quality.

Data-driven 73

Data-driven Data Governance Data Quality Cost-Benefit 73

IBM Big Data Hub

FEBRUARY 12, 2024

Recognizing the need to harness real-time data, businesses are increasingly turning to event-driven architecture (EDA) as a strategic approach to stay ahead of the curve. This trend grows stronger as organizations realize the benefits that come from the power of real-time data streaming. Do you remember playing in the sandbox as a kid?

Data-driven 84

Data-driven Cost-Benefit Uncertainty Technology 84

datapine

SEPTEMBER 16, 2022

Previously, we discussed the top 19 big data books you need to read, followed by our rundown of the world’s top business intelligence books as well as our list of the best SQL books for beginners and intermediates. Data visualization, or ‘data viz’ as it’s commonly known, is the graphic presentation of data.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

IBM Big Data Hub

MARCH 20, 2024

For highly regulated industries, these challenges take on an entirely new level of expectation as they navigate evolving regulatory landscape and manage requirements for privacy, resiliency, cybersecurity, data sovereignty and more. This includes cyber incidents, technology failures, natural disasters and more. Similarly, in the U.S.

Risk Management 78

Risk Management Risk Enterprise Business Services 78

IBM Big Data Hub

MARCH 27, 2024

The company is working with extremely high volumes of data and expects this situation to continue or grow. So, you’ve got a ton of assets earmarked for data storage , with many more workloads on the way. Your business isn’t expecting this data to collect dust in a vault, either. What is a hyperscale data center?

Cost-Benefit 106

Cost-Benefit Internet of Things Recreation/Entertainment Marketing 106

Cloudera

JULY 9, 2021

If you’ve followed Cloudera for a while, you know we’ve long been singing the praises—or harping on the importance, depending on perspective—of a solid, standalone enterprise data strategy. The ways data strategies are implemented, the resulting outcomes and the lessons learned along the way provide important guardrails.

Data Strategy 109

Data Strategy Strategy Data-driven Machine Learning 109

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Companies, both big and small, are seeking the finest ways to leverage their data into a competitive advantage.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

AWS Big Data

JULY 21, 2023

Data-driven organizations treat data as an asset and use it across different lines of business (LOBs) to drive timely insights and better business decisions. This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts.

Data Lake 85

Data Lake Data Warehouse Marketing Management 85

IBM Big Data Hub

DECEMBER 14, 2023

In this blog, we will explore the concept of cyber resiliency from an IBM® perspective and how our approach can help organizations protect themselves in an ever-changing cybersecurity landscape. It recognizes that breaches are inevitable and places equal emphasis on prevention, detection, response and recovery.

Risk 84

Risk Measurement Business Objectives Optimization 84

AWS Big Data

MARCH 1, 2024

As they continue to implement their Digital First strategy for speed, scale and the elimination of complexity, they are always seeking ways to innovate, modernize and also streamline data access control in the Cloud. BMO has accumulated sensitive financial data and needed to build an analytic environment that was secure and performant.

Data Lake 98

Data Lake Data Warehouse Management Risk 98

erwin

JULY 22, 2020

Fostering organizational support for a data-driven culture might require a change in the organization’s culture. Recently, I co-hosted a webinar with our client E.ON , a global energy company that reinvented how it conducts business from branding to customer engagement – with data as the conduit. As an example, E.ON Avoiding Hurdles.

Data-driven 136

Data-driven Data Governance Digital Transformation Enterprise 136

IBM Big Data Hub

OCTOBER 16, 2023

Examples of AI bias in the real world show us that when discriminatory data and algorithms are baked into AI models, the models deploy biases at scale and amplify the resulting negative effects. Bias can be found in the initial training data, the algorithm, or the predictions the algorithm produces.

Advertising 74

Advertising Machine Learning Data Architecture Cost-Benefit 74

IBM Big Data Hub

APRIL 24, 2024

An online retailer always gets users’ explicit consent before sharing customer data with its partners. A navigation app anonymizes activity data before analyzing it for travel trends. One cannot overstate the importance of data privacy for businesses today. The user can accept or reject each use of their data individually.

Risk 69

Risk Measurement Data Governance Insurance 69

DataRobot

NOVEMBER 22, 2021

This is a three part blog series in partnership with Amazon Web Services describing the essential components to build, govern, and trust AI systems: People, Process and Technology. This second post is focused on building the organization-wide process for AI you can trust. There are many steps to building an AI system.

Risk 52

Risk Machine Learning Modeling Technology 52

Alation

APRIL 18, 2023

For any data user in an enterprise today, data profiling is a key tool for resolving data quality issues and building new data solutions. In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today.

IT 52

IT Data Quality Metadata Data Governance 52

AWS Big Data

OCTOBER 4, 2023

Amazon DataZone enables customers to discover, access, share, and govern data at scale across organizational boundaries, reducing the undifferentiated heavy lifting of making data and analytics tools accessible to everyone in the organization. Govern data access across organizational boundaries.

Metadata 98

Metadata Data Lake Publishing Data Governance 98

IBM Big Data Hub

FEBRUARY 13, 2024

Where tactical sourcing is a short-term strategy, strategic sourcing is for long-term business goals. Such analysis and decision-making are often optimized with the help of various technologies, including artificial intelligence tools and data analytics platforms. And from that group, 71% would pay a premium for it.

Cost-Benefit 84

Cost-Benefit Scorecard Risk Recreation/Entertainment 84

Laminar Security

JANUARY 5, 2024

By using authorized credentials, threat actors can log in and move laterally across a network to access data stores. Double extortion is a two-step attack in which the attacker encrypts the data and exfiltrates it as additional leverage. Due to double-extortion and similar threats, half of organizations have lost data.

Risk 119

Risk Measurement Data Governance IT 119

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. Here are a few common data management challenges: Regulatory compliance on data use. Data quality. Data silos.

Data-driven 57

Data-driven Enterprise Data Governance Data Lake 57

Alation

JANUARY 26, 2023

Data is a key asset for businesses in the modern world. Used correctly, it can improve internal operations, power marketing strategies, and much more. That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline. This is why data also needs to be compliant.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

AWS Big Data

JANUARY 17, 2024

This allows you to simplify security and governance over transactional data lakes by providing access controls at table-, column-, and row-level permissions with your Apache Spark jobs. Many large enterprise companies seek to use their transactional data lake to gain insights and improve decision-making.

Data Lake 91

Data Lake Snapshot Big Data Data-driven 91

erwin

JANUARY 10, 2024

With examples of online marketplaces all around us, smart organizations are following suit by providing data marketplaces to data consumers across their enterprises. Treating data as a product and making it available through a marketplace is a rapidly trending and proven approach to better using and managing your data.

Measurement 59

Measurement Cost-Benefit Data Governance Management 59

Ontotext

JUNE 29, 2023

How do you think about your data? Yet when we consider the data items that represent these things, our legacy systems have led us to the limited understanding that data is made of discrete objects, which hardly interrelate. Or is it only related to the data your colleagues send to Google Merchant Feed? Probably not.

Cost-Benefit 59

Cost-Benefit Data-driven Data Quality Enterprise 59

IBM Big Data Hub

APRIL 6, 2023

This new regulation applies to any “automated employment tool;” so, any computational process derived from machine learning, statistical modeling, data analytics, or artificial intelligence, including homegrown and third-party programs. A holistic approach to AI governance can help. Washington, D.C.

Cost-Benefit 57

Cost-Benefit Risk Statistics Machine Learning 57

AWS Big Data

APRIL 24, 2023

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. 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.

Data Lake 79

Data Lake Data Governance Cost-Benefit Machine Learning 79

IBM Big Data Hub

FEBRUARY 5, 2024

It mandates that all financial institutions within its scope build the necessary digital operational resilience, emphasizing a tailored approach for each organization. According to Article 6 of the draft RTS, data encryption is deemed essential throughout the entire data lifecycle, covering data at rest, in transit, and in use.

Risk Management 72

Risk Management Risk Consulting Management 72

CIO Business Intelligence

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making.

Data Strategy 108

Data Strategy Strategy Machine Learning Data-driven 108

IBM Big Data Hub

FEBRUARY 20, 2024

The collaboration is currently focused on building an AI-powered foundation model to make climate and weather applications faster and more accurate. In an era of accelerating climate change , predicting the near-future can yield major benefits. One of the latest climate modeling initiatives come through a partnership between IBM and NASA.

Modeling 119

Modeling Forecasting Reporting Risk 119

Laminar Security

NOVEMBER 9, 2023

Data breaches increased by 156% between Q1 and Q2 alone. The numbers speak for themselves: today’s approach to data security isn’t working. Today’s data security strategies need new solutions, but unfortunately, many existing tools can only manage one piece of that much bigger and more complex puzzle.

Strategy 88

Strategy Risk Testing Recreation/Entertainment 88

Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52