Cloudera

JUNE 1, 2021

In summary, the next chapter for Cloudera will allow us to concentrate our efforts on strategic business opportunities and take thoughtful risks that help accelerate growth. It also means we can complete our business transformation with the systems, processes and people that support a new operating model. . Our strategy.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

datapine

MAY 2, 2023

However, if you underestimate how many vehicles a particular route or delivery will require, then you run the risk of giving customers a late shipment, which negatively affects your client relationships and brand image. After examining their data, UPS found that trucks turning left were costing them a lot of money.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

DataKitchen

DECEMBER 9, 2022

DataOps involves close collaboration between data scientists, IT professionals, and business stakeholders, and it often involves the use of automation and other technologies to streamline data-related tasks. One of the key benefits of DataOps is the ability to accelerate the development and deployment of data-driven solutions.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

IBM Big Data Hub

JULY 28, 2023

Our flagship data integration platform, DATA ONE , is designed to federate different technologies, platforms, data types and deployment models, with an intuitive user experience. It plans, manages and monitors integration flows, allowing clients to control data throughout its end-to-end lifecycle.

Data Integration 55

Data Integration Optimization Software Insurance 55

CDW Research Hub

JANUARY 22, 2020

While the looming threat of hackers and security breaches should not be taken lightly, the good news is companies can mitigate risks commonly associated with breaches and safely migrate their database(s) to the cloud with proper planning, insight and preventive measures. Cloud services’ pricing models and your company’s budget availability.

Measurement 52

Measurement Consulting Risk Finance 52

DataKitchen

JULY 27, 2023

Azure Databricks, a big data analytics platform built on Apache Spark, performs the actual data transformations. The cleaned and transformed data can then be stored in Azure Blob Storage or moved to Azure Synapse Analytics for further analysis and reporting. Some tools are excellent for batch processing (e.g.,

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

O'Reilly on Data

JANUARY 17, 2023

Given that, what would you say is the job of a data scientist (or ML engineer, or any other such title)? Building Models. A common task for a data scientist is to build a predictive model. You know the drill: pull some data, carve it up into features, feed it into one of scikit-learn’s various algorithms.

Machine Learning 326

Machine Learning Predictive Modeling Software Modeling 326

IBM Big Data Hub

JANUARY 9, 2024

Companies still often accept the risk of using internal data when exploring large language models (LLMs) because this contextual data is what enables LLMs to change from general-purpose to domain-specific knowledge. In the generative AI or traditional AI development cycle, data ingestion serves as the entry point.

Enterprise 72

Enterprise Data Integration Data Quality Contextual Data 72

Ontotext

APRIL 4, 2019

Milena Yankova : We help the BBC and the Financial Times to model the knowledge available in various documents so they can manage it. But still, is there a risk that AI could replace people at their workplace? Economy.bg: You work with media companies such as the BBC and the Financial Times. What exactly do you do for them?

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

DataKitchen

OCTOBER 5, 2022

DataOps Observability can help you ensure that your complex data pipelines and processes are accurate and that they deliver as designed. Observability also validates that your data transformations, models, and reports are performing as expected. to monitor your data operations. without replacing staff or systems?to

Testing 169

Testing Risk Data Processing Statistics 169

DataKitchen

OCTOBER 5, 2022

DataOps Observability can help you ensure that your complex data pipelines and processes are accurate and that they deliver as designed. Observability also validates that your data transformations, models, and reports are performing as expected. to monitor your data operations. without replacing staff or systems?to

Testing 130

Testing Risk Data Processing Statistics 130

erwin

MARCH 4, 2021

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. GDPR is also proving to be the de facto model for data privacy across the United States.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

CIO Business Intelligence

JUNE 23, 2022

Poor data quality is cited as the major reason initiatives fail to achieve their expected value – up to 60% of business initiatives fail because of data quality issues. Data quality becomes an even more pressing issue as organizations move toward AI/ML-enabled decision-making. Supply chain complexity.

Data Quality 97

Data Quality Key Performance Indicator Metrics KPI 97

Sisense

AUGUST 6, 2020

AI can add value to your product/service in many ways, including: Improved business performance Reduced costs Increased customer satisfaction Improved brand value Risk reduction (reduced human error, fraud reduction, spam reduction) Improved convenience and accessibility of products. An underfitted model is inflexible and doesn’t learn well.

Management 95

Management Machine Learning Key Performance Indicator Cost-Benefit 95

IBM Big Data Hub

MARCH 14, 2024

For existing IBM on-premises database customers, transitioning to AWS is seamless, offering risk-free, like-for-like upgrades. Integrate seamlessly with watsonx.data SaaS and other IBM and AWS services like IBM data fabric, Amazon S3, Amazon EMR, AWS Glue and more to scale analytics and AI workloads across the enterprise. Existing

Cost-Benefit 76

Cost-Benefit Metadata Optimization Management 76

Alation

JUNE 28, 2022

Collaborate more effectively: Break down data silos for better understanding of data assets across all business units. Create taxonomies and modeling languages: Enrich data analytics by enhancing relationships between data for ensuring consistent modeling outcomes when new data is introduced.

Metadata 52

Metadata Management Data Governance Machine Learning 52

DataKitchen

OCTOBER 25, 2022

When considering how organizations handle serious risk, you could look to NASA. The space agency created and still uses “mission control” where many screens share detailed data about all aspects of a space flight. Any data operation, regardless of size, complexity, or degree of risk, can benefit from DataOps Observability.

Testing 130

Testing Data-driven Visualization Dashboards 130

Alation

OCTOBER 28, 2021

Healthcare is changing, and it all comes down to data. Leaders in healthcare seek to improve patient outcomes, meet changing business models (including value-based care ), and ensure compliance while creating better experiences. Data & analytics represents a major opportunity to tackle these challenges.

Data Governance 52

Data Governance Measurement Metrics Data Quality 52

AWS Big Data

OCTOBER 11, 2023

This is due to the complexity of the JSON structure, contracts, and the risk evaluation process on the payor side. Due to this low complexity, the solution uses AWS serverless services to ingest the data, transform it, and make it available for analytics.

Visualization 97

Visualization Dashboards Data-driven Gap analysis 97

AWS Big Data

JULY 25, 2023

Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver fast performance for even the most demanding and unpredictable workloads, and you pay only for what you use. For Username and Password , enter your user name and password, respectively.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

CIO Business Intelligence

JUNE 14, 2022

I think that speaks volumes to the type of commitment that organizations have to make around data in order to actually move the needle.”. So if funding and C-suite attention aren’t enough, what then is the key to ensuring an organization’s data transformation is successful? Analytics, Chief Data Officer, Data Management

Data Transformation 143

Data Transformation Data-driven Data Strategy Strategy 143

AWS Big Data

JULY 20, 2023

Orca Security is an industry-leading Cloud Security Platform that identifies, prioritizes, and remediates security risks and compliance issues across your AWS Cloud estate. This data is then used by various applications for streaming analytics, business intelligence, and reporting.

Data Lake 89

Data Lake Analytics Snapshot Optimization 89

AWS Big Data

FEBRUARY 21, 2023

We use Apache Spark as our main data processing engine and have over 1,000 Spark applications running over massive amounts of data every day. These Spark applications implement our business logic ranging from data transformation, machine learning (ML) model inference, to operational tasks.

Cost-Benefit 55

Cost-Benefit Informatics Optimization Management 55

bridgei2i

SEPTEMBER 3, 2020

Ronobijay: Sure, I think it would, you know, what used to be anathema till a few months back, you know, data transformation is real now, right? What we are hearing more and more from clients is their need to reduce cost and risk while increasing operational efficiency. Arjun: Absolutely.

Enterprise 94

Enterprise Insurance Digital Transformation Interactive 94

erwin

APRIL 16, 2024

In this blog, we’ll delve into the critical role of governance and data modeling tools in supporting a seamless data mesh implementation and explore how erwin tools can be used in that role. erwin also provides data governance, metadata management and data lineage software called erwin Data Intelligence by Quest.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

CIO Business Intelligence

AUGUST 3, 2023

But reaching all these goals, as well as using enterprise data for generative AI to streamline the business and develop new services, requires a proper foundation. But reaching all these goals, as well as using enterprise data for generative AI to streamline the business and develop new services, requires a proper foundation.

Analytics 93

Analytics Data Lake Metadata Cost-Benefit 93

AWS Big Data

SEPTEMBER 19, 2023

Chime’s Risk Analysis team constantly monitors trends in our data to find patterns that indicate fraudulent transactions. However, with a minimum data freshness of 10 minutes, this architecture inherently didn’t align with the near real-time fraud detection use case.

Analytics 80

Analytics Risk Big Data Machine Learning 80

CIO Business Intelligence

JANUARY 24, 2024

Exhibit 1 – Agent Swarm ConfigurationsExhibit 1 – Agent Swarm Configurations Supplied As financial firms navigate the dual imperatives of operational efficiency and risk mitigation, technology leaders are exploring innovative approaches. Use predefined rules, machine learning models, or a combination of both to make informed decisions.

IoT 101

IoT Machine Learning Optimization Internet of Things 101

Alation

NOVEMBER 22, 2022

It’s not uncommon for analysts to struggle to access mission-critical data – even if they need it for urgent projects. This is why public agencies are increasingly turning to an active governance model, which promotes data visibility alongside in-workflow guidance to ensure secure, compliant usage. Standardizing data formats.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

Jet Global

MAY 28, 2019

A data warehouse stores transactional level details and serves the broader reporting and analytical needs of an organization – creating one source of truth for building semantic models or serving structured, simplified and harmonized data to tools like Power BI, Excel or even SSRS. Enhancing a Data Warehouse with Cubes.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

AWS Big Data

DECEMBER 21, 2023

For the downstream consumption by all departments across the organization, smava’s Data Platform team prepares curated data products following the extract, load, and transform (ELT) pattern. The Raw Vault describes objects loaded directly from the data sources and represents a copy of the landing stage in the data lake.

Data Lake 90

Data Lake Data Warehouse Data-driven B2B 90

Jet Global

MAY 6, 2024

Despite the transformative potential of AI, a large number of finance teams are hesitating, waiting for this emerging technology to mature before investing. Finance has always been considered risk averse, so it is perhaps unsurprising to see that AI adoption in finance significantly lags other departments.

Finance 52

Finance Reporting Data Transformation Optimization 52

Jet Global

AUGUST 24, 2023

Although many companies run their own on-premises servers to maintain IT infrastructure, nearly half of organizations already store data on the public cloud. The Harvard Business Review study finds that 88% of organizations that already have a hybrid model in place see themselves maintaining the same strategy into the future.

Finance 52

Finance Reporting Data Integration Risk 52

Jet Global

APRIL 24, 2024

This approach allows you and your customers to harness the full potential of your data, transforming it into interactive, AI-driven conversations that can significantly enhance user engagement and insight discovery. Chatflows ensure every interaction is personal and relevant, transforming data queries into engaging conversations.

Business Intelligence 52

Business Intelligence Dashboards Software Reporting 52

Jet Global

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping helps standardize, visualize, and understand data across different systems and applications.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

MAY 9, 2024

Data Extraction : The process of gathering data from disparate sources, each of which may have its own schema defining the structure and format of the data and making it available for processing. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

MAY 1, 2023

These licensing terms are critical: Perpetual license vs subscription: Subscription is a pay-as-you-go model that provides flexibility as you evaluate a vendor. Pricing model: The pricing scale is dependent on several factors. Some cloud applications can even provide new benchmarks based on customer data.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52