Smart Data Collective

FEBRUARY 25, 2021

AI-driven software services include big data enabled CRM systems , custom dashboards, system integrations, booking platforms and any other systems meant to make any action easier for both you and your users. They are highly knowledgeable about AI, so can help make it a core part of your business model.

Software 62

Software Machine Learning Marketing Technology 62

DataKitchen

NOVEMBER 29, 2021

In 2022, data organizations will institute robust automated processes around their AI systems to make them more accountable to stakeholders. Model developers will test for AI bias as part of their pre-deployment testing. Continuous testing, monitoring and observability will prevent biased models from deploying or continuing to operate.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

IBM Big Data Hub

MAY 9, 2023

The answer is that generative AI leverages recent advances in foundation models. Unlike traditional ML, where each new use case requires a new model to be designed and built using specific data, foundation models are trained on large amounts of unlabeled data, which can then be adapted to new scenarios and business applications.

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 71

Machine Learning Manufacturing Cost-Benefit Deep Learning 71

FineReport

APRIL 24, 2024

With the ability to represent complex datasets in an easily understandable format, visualizations enable analysts to navigate through extensive data seamlessly. The dynamic nature of visualizations allows for swift changes in perspectives, enabling users to switch between different views or layers of information effortlessly.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

CIO Business Intelligence

APRIL 15, 2022

Derek Driggs, a machine learning researcher at the University of Cambridge, together with his colleagues, published a paper in Nature Machine Intelligence that explored the use of deep learning models for diagnosing the virus. Data limitations in Microsoft Excel. The paper determined the technique not fit for clinical use. The culprit?

Analytics 141

Analytics Machine Learning Insurance Testing 141

Cloudera

AUGUST 21, 2021

Cloudera’s customers in the financial services industry have realized greater business efficiencies and positive outcomes as they harness the value of their data to achieve growth across their organizations. Data enables better informed critical decisions, such as what new markets to expand in and how to do so.

Data-driven 102

Data-driven Digital Transformation Risk Risk Management 102

AWS Big Data

MARCH 27, 2024

This means you can seamlessly combine information such as clinical data stored in HealthLake with data stored in operational databases such as a patient relationship management system, together with data produced from wearable devices in near real-time.

Data Analytics 90

Data Analytics Analytics Data Warehouse Data Lake 90

AWS Big Data

NOVEMBER 29, 2023

These announcements drive forward the AWS Zero-ETL vision to unify all your data, enabling you to better maximize the value of your data with comprehensive analytics and ML capabilities, and innovate faster with secure data collaboration within and across organizations.

Data Warehouse 100

Data Warehouse Data Lake Analytics Machine Learning 100

IBM Big Data Hub

DECEMBER 20, 2023

The hybrid multicloud model Today most enterprise businesses rely on a hybrid multicloud environment. These include single consoles or dashboards that help create a single pane of glass (SPOG) so teams can easily view and control resources.

Strategy 94

Strategy Cost-Benefit Digital Transformation Optimization 94

Grooper

AUGUST 19, 2019

Connect the Dots Between Data Literacy, ISL, and the Requirements List. Data literacy is solved by a structured program of learning information as a second language (ISL). ISL eliminates data literacy by modeling the way we learn spoken language. These requirements include fluency in: Analytical models.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Sisense

DECEMBER 11, 2019

Quoting Keystone Research, he opened with the finding that: Companies who use data effectively have 18% higher gross margins and 4% higher operating margins Keystone Research. And he demonstrated how the Periscope Data platform overcomes the challenges of huge data volumes that can’t be easily modeled by traditional BI.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Alation

FEBRUARY 20, 2020

One reason is because traditional data governance models conform to an old world of analytics that focus on controlling data access and fail to succeed in the free-flowing world of self-service reporting, BI, and analytics. How Data Catalogs Can Help. Gartner predicts that the global analytics market will grow to $22.8

Data Governance 52

Data Governance Dashboards Data Lake Big Data 52

CIO Business Intelligence

APRIL 30, 2024

This feature enables users to save calculations from a Tableau dashboard directly to Tableau’s metrics layer so they can monitor and track the information over time. Tableau says a user working in hospitality could click “Draft with Einstein” for data about travel. Metrics Bootstrapping.

Analytics 69

Analytics Metrics Visualization Dashboards 69

Andrew White

JANUARY 11, 2021

Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role. This would be part of a Data Literacy program. Decision modeling (one of my favorites). And not just for synthetic data techniques.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MARCH 24, 2024

They can easily share financial data and reports, discuss tax implications of financial decisions, and ensure alignment on tax planning strategies. EPM tools often include scenario analysis capabilities that allow finance teams to model different financial scenarios. The potential of your data is continually evolving.

Finance 52

Finance Forecasting Reporting Dashboards 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

APRIL 8, 2024

The finance team’s true value lies in providing strategic insights and analysis, not in data manipulation. Manual processes make integrating actual results into forecasting models cumbersome and error prone. EPM empowers finance teams with real-time actuals feeding seamlessly into forecasting models and disclosure documents.

Reporting 52

Reporting Management Finance Forecasting 52

Jet Global

OCTOBER 24, 2023

This gives decision-makers access to current data for financial and operational reporting, reducing decision-making based on outdated information. Faster decision-making: Real-time data enables faster decision-making, allowing organizations to respond quickly to ever-changing market conditions. It has no impact on performance.

Reporting 52

Reporting Operational Reporting Finance Enterprise 52

Jet Global

APRIL 3, 2024

Cloud-based solutions can automate tasks such as data collection, reconciliation, and reporting. Real-time Visibility and Insights : Cloud applications offer real-time access to financial data, enabling informed decision-making.

Reporting 52

Reporting Cost-Benefit Software Forecasting 52

Jet Global

SEPTEMBER 26, 2023

These Solutions Solve Today’s (and Tomorrow’s) Challenges Your team needs to move faster and smarter real-time, accurate, functional views of transactional data enabling rapid decision-making.

Marketing 52

Marketing Finance Reporting Operational Reporting 52