Cloudera

JANUARY 30, 2024

Demand forecasting: AI can be used to forecast demand for products based on historical data, trends, and external factors such as weather, holidays, seasonality, and market conditions. Trusted AI begins with trusted data What resolves the data challenge and fuels data-driven AI in manufacturing?

Manufacturing 81

Manufacturing Contextual Data IoT Internet of Things 81

CIO Business Intelligence

JULY 18, 2022

Data is in constant flux, due to exponential growth, varied formats and structure, and the velocity at which it is being generated. Data is also highly distributed across centralized on-premises data warehouses, cloud-based data lakes, and long-standing mission-critical business systems such as for enterprise resource planning (ERP).

Cost-Benefit 96

Cost-Benefit Data Lake Data Warehouse Enterprise 96

IBM Big Data Hub

SEPTEMBER 19, 2023

Those who work in the field of data science are known as data scientists. Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its data analytics. Watsonx comprises of three powerful components: the watsonx.ai

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

AWS Big Data

JULY 13, 2023

This allows for transparency, speed to action, and collaboration across the group while enabling the platform team to evangelize the use of data: Altron engaged with AWS to seek advice on their data strategy and cloud modernization to bring their vision to fruition.

Optimization 98

Optimization B2B Data Quality Sales 98

Alation

DECEMBER 14, 2021

AWS has created a way to manage policies and access, but this is only for data lake formation. What about other data sources? Today, AWS is supporting growth in the bio-sciences, climate forecasts, driverless cars and many more new-age use cases. Other Keynote Highlights. In Conclusion.

Data Lake 52

Data Lake Data Warehouse Machine Learning Cost-Benefit 52

BizAcuity

APRIL 14, 2022

Be it supply chain resilience, staff management, trend identification, budget planning, risk and fraud management, big data increases efficiency by making data-driven predictions and forecasts. With adequate market intelligence, big data analytics can be used for unearthing scope for product improvement or innovation.

Big Data 52

Big Data Data Analytics Management Analytics 52

Sisense

MAY 11, 2021

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021! Discover why.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Alation

MARCH 21, 2023

As an industry with tight margins, travel and tourism companies can use analytics to detect trends that help them reduce costs, decide future product and service offerings, and develop successful business strategies. Using Alation, ARC automated the data curation and cataloging process. “So Curious to see Alation in action?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

CIO Business Intelligence

MAY 24, 2022

Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding. This is the first post in a series of three on data-driven organisations. Oil and Gas.

Data-driven 98

Data-driven Data Lake Data Warehouse Machine Learning 98

Jet Global

JANUARY 30, 2025

Its distributed architecture empowers organizations to query massive datasets across databases, data lakes, and cloud platforms with speed and reliability. Optimizing connections to your data sources is equally important, as it directly impacts the speed and efficiency of data access.

Data Lake 64

Data Lake Data-driven Optimization Enterprise 64

Jet Global

OCTOBER 1, 2024

With Simba drivers acting as a bridge between Trino and your BI or ETL tools, you can unlock enhanced data connectivity, streamline analytics, and drive real-time decision-making. Let’s explore why this combination is a game-changer for data strategies and how it maximizes the value of Trino and Apache Iceberg for your business.

Dashboards 52

Dashboards Data Lake Reporting Cost-Benefit 52

Jet Global

JUNE 13, 2022

When migrating to the cloud, there are a variety of different approaches you can take to maintain your data strategy. Those options include: Data lake or Azure Data Lake Services (ADLS) is Microsoft’s new data solution, which provides unstructured date analytics through AI.

Reporting 52

Reporting Data Lake Sales Operational Reporting 52

AWS Big Data

FEBRUARY 18, 2025

Furthermore, we increased the breadth of sources to include Aurora PostgreSQL, DynamoDB, and Amazon RDS for MySQL to Amazon Redshift integrations, solidifying our commitment to making it seamless for you to run analytics on your data. Supply chain managers can review how demand patterns have shifted over time, improving forecasting accuracy.

Data Warehouse 59

Data Warehouse Optimization Data Lake Marketing 59