IBM Big Data Hub

MARCH 4, 2024

Figure 2: ROI potential by transforming into an AI+ enterprise Organizations with high data maturity that embed an AI+ transformation model into the enterprise fabric and culture can generate up to 2.6 AI is at a turning point, driving exponential advancements in an organization’s prosperity and growth. times higher ROI.

Enterprise 104

Enterprise ROI Risk Strategy 104

IBM Big Data Hub

DECEMBER 20, 2023

Whether it’s deeper data analysis, optimization of business processes or improved customer experiences , having a well-defined purpose and plan will ensure that the adoption of AI aligns with the broader business goals. Artificial intelligence (AI) is a transformative force.

Strategy 77

Strategy Business Objectives Cost-Benefit Consulting 77

Cloudera

OCTOBER 1, 2020

The policy has served the Government well and has also given rise to the UK’s Digital Marketplace and frameworks such as GCloud, Digital Outcomes & Specialists and Digital Services, all continue to help the UK government to adopt best of breed technologies whilst achieving cost savings. Why does this matter and why now?

Data Processing 125

Data Processing Uncertainty Digital Transformation Risk 125

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

Cloudera

JANUARY 28, 2022

As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics. Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts.

Slice and Dice 111

Slice and Dice Cost-Benefit Risk Data Governance 111

AWS Big Data

JANUARY 30, 2023

Many customers need an ACID transaction (atomic, consistent, isolated, durable) data lake that can log change data capture (CDC) from operational data sources. There is also demand for merging real-time data into batch data. Delta Lake framework provides these two capabilities.

Insurance 77

Insurance Data Lake Data-driven Management 77

AWS Big Data

MARCH 23, 2023

We recently announced support for AWS Lake Formation fine-grained access control policies in Amazon Athena queries for data stored in any supported file format using table formats such as Apache Iceberg, Apache Hudi and Apache Hive. Lake Formation provides an authorization and governance layer on data stored in Amazon S3.

Interactive 67

Interactive Snapshot Data Lake Software 67

IBM Big Data Hub

DECEMBER 15, 2023

When AI algorithms, pre-trained models, and data sets are available for public use and experimentation, creative AI applications emerge as a community of volunteer enthusiasts builds upon existing work and accelerates the development of practical AI solutions. Governments like the U.S.

Deep Learning 69

Deep Learning Experimentation Machine Learning Risk 69

Cloudera

FEBRUARY 16, 2022

Model interpretability is one of five main components of model governance. In this article, we explore model governance, a function of ML Operations (MLOps). Each project consists of a declarative series of steps or operations that define the data science workflow. classification problem. What if a muffin is well-baked?

Machine Learning 82

Machine Learning Modeling Metadata Recreation/Entertainment 82

Alation

JANUARY 26, 2023

Data is a key asset for businesses in the modern world. That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline. However, data needs to be easily accessible, usable, and secure to be useful — yet the opposite is too often the case.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

IBM Big Data Hub

MAY 12, 2023

As a result, increasing numbers of organizations are migrating their information and communication technology (ICT) infrastructures to the public cloud, shifting workloads from on-premises to remote data centers and modernizing their application estates. The need to digitally transform touches every organization, in every industry.

Consulting 78

Consulting Cost-Benefit Optimization Dashboards 78

Alation

AUGUST 30, 2022

we are introducing Alation Anywhere, extending data intelligence directly to the tools in your modern data stack, starting with Tableau. We continue to make deep investments in governance, including new capabilities in the Stewardship Workbench, a core part of the Data Governance App. Centralization of metadata.

Metadata 52

Metadata Data Quality Data Governance Machine Learning 52

IBM Big Data Hub

SEPTEMBER 15, 2023

For example, the regulated disclosures could be anything from estimates around Scope 3 emissions, to investor-grade data. The process will accelerate the pace at which ESG data will need to be collected, verified, and incorporated into these financially material investor disclosures.

Risk 77

Risk Reporting Data-driven Publishing 77

IBM Big Data Hub

OCTOBER 25, 2023

Here’s how CTOs and CIOs can evaluate their technology and data estates, assess the opportunity and chart a path forward. Implementing generative AI can seem like a chicken-and-egg conundrum. In a recent IBM Institute for Business Value survey, 64% of CEOs said they needed to modernize apps before they could use generative AI.

Cost-Benefit 88

Cost-Benefit ROI Modeling Testing 88

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

DataKitchen

SEPTEMBER 20, 2021

Data organizations don’t always have the budget or schedule required for DataOps when conceived as a top-to-bottom, enterprise-wide transformational change. DataOps can and should be implemented in small steps that complement and build upon existing workflows and data pipelines. Figure 1: The four phases of Lean DataOps.

Testing 246

Testing Metrics Measurement Dashboards 246

datapine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. Your Chance: Want to perform advanced data analysis with a few clicks? Data Is Only As Good As The Questions You Ask.

IT 317

IT Statistics KPI Data-driven 317

IBM Big Data Hub

MAY 23, 2023

Every time a city improves upon its existing structures to incorporate more data-driven or connected technologies, it becomes more intelligent. A smart transportation overview Also known as smart mobility, the rise of ubiquitous data collection and automation has led local governments to embrace smart transportation.

Internet of Things 74

Internet of Things IoT Broadcasting Cost-Benefit 74

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data Warehouse 82

Data Warehouse Cost-Benefit Metadata Data-driven 82

AWS Big Data

APRIL 20, 2023

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML).

Data Lake 76

Data Lake Data Warehouse Sales Data-driven 76

Alation

SEPTEMBER 14, 2021

The importance of data governance is growing. Here at Alation, we’ve seen the demand for new robust governance capabilities skyrocket in the past year. This will enable you to choose exactly the right mix of data catalog plus apps that best meet your business needs. Alation Data Governance App.

Data Governance 52

Data Governance Dashboards Measurement Machine Learning 52

Alation

FEBRUARY 20, 2020

Tools like MicroStrategy and Tableau make it easy for business users to quickly turn raw data into visualizations and reports. But before you can even start, you have to find a relevant data set, understand it, and trust it. Alation Data Explorer – A Self-Service, Embedded Data Catalog Browser. abc/xyz, etc.).

Reporting 52

Reporting Dashboards Data Governance Visualization 52

Alation

MAY 24, 2022

In a sea of questionable data, how do you know what to trust? Data quality tells you the answer. It signals what data is trustworthy, reliable, and safe to use. It empowers engineers to oversee data pipelines that deliver trusted data to the wider organization. It affects everyone who produces and consumes data.

Data Quality 52

Data Quality Metadata Reporting Metrics 52

Alation

JUNE 22, 2021

Of the three pillars of data culture, data literacy is the most challenging to achieve, since it requires broad up-skilling across the organization and, sometimes, fighting human nature itself. According to Gartner, poor data literacy is ranked as the second-biggest internal roadblock to the success of the chief data officer (CDO).

Data Governance 64

Data Governance Data-driven Metadata Visualization 64

Cloudera

FEBRUARY 25, 2021

Today’s enterprise data science teams have one of the most challenging, yet most important roles to play in your business’s ML strategy. With almost all of the Fortune 500 and a majority of the Global 2000 relying on Cloudera for their most important data assets, Cloudera’s Machine Learning product (CML) is the way enterprises do ML.

Deep Learning 81

Deep Learning Machine Learning Forecasting Visualization 81

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field. What is machine learning?

Machine Learning 57

Machine Learning Data Science Statistics Deep Learning 57

Alation

MARCH 1, 2023

How are blockchain organizations tackling data management? To learn the answer, we sat down with Karla Kirton , Data Architect at Blockdaemon, a blockchain company, to discuss data strategy , decentralization, and how implementing Alation has supported them. What is your data strategy and how did you begin to implement it?

Data Strategy 52

Data Strategy Strategy Metadata Interactive 52

Sisense

JULY 10, 2019

Here’s how we re-architected Sisense with the right technologies and frameworks for the task at hand without simply porting the code over. Components that would be rebuilt from scratch using the right framework while maintaining institutional knowledge and providing a similar user experience. The First Few Months.

IT 69

IT Testing Technology Sales 69

CDW Research Hub

FEBRUARY 14, 2020

The lack of a common standard framework for assessing cloud service providers (CSPs), combined with the fact that no two are the same, can sometimes make it difficult to select the appropriate provider for your organization. Let’s take a closer look at the options, tools and documentation involved with choosing a CSP.

Risk 52

Risk Reporting Measurement Insurance 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.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

Occam's Razor

AUGUST 22, 2011

Here you'll find all my blog posts categorized into a structure that will hopefully make it easy for you to discover new content, find answers to your questions, or simply wallow in some excellent analytics narratives. Be data driven?" How do I choose well? Blogging Experience Articles. + Be data driven?"

KPI 124

KPI Metrics Measurement ROI 124

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. In this post, we discuss a common use case in relation to operational data processing and the solution we built using Apache Hudi and AWS Glue.

Data Lake 89

Data Lake Data Processing Metadata Snapshot 89

DataKitchen

AUGUST 13, 2021

Figure 1 shows the 15-year cycle from screening to government agency approval and phase IV trials. If a company can use data to identify compounds more quickly and accelerate the development process, it can monetize its drug pipeline more effectively. Pharmaceutical companies are finding that DataOps delivers these benefits.

Testing 246

Testing Dashboards Marketing Measurement 246

Cloudera

MAY 2, 2022

As digital transformation accelerates, and digital commerce increasingly becomes the dominant form of all commerce, regulators and governments around the world are recognizing the increased need for consumer protections and data protection measures.

Data Architecture 99

Data Architecture Metadata Digital Transformation Finance 99

DataKitchen

NOVEMBER 18, 2021

For several years now, the elephant in the room has been that data and analytics projects are failing. Gartner estimated that 85% of big data projects fail. Add all these facts together, and it paints a picture that something is amiss in the data world. . The top-line result was that 97% of data engineers are feeling burnout. .

Testing 246

Testing Data Governance Measurement Software 246

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

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