Smart Data Collective

FEBRUARY 25, 2021

Savvy small businesses recognize that AI technology can assist them with almost every aspect of their operations, including employee management, trend forecasting, fraud prevention and financial management. Technology has always been important, but the new generation of AI technology is even more important today.

Software 62

Software Machine Learning Marketing Technology 62

IBM Big Data Hub

SEPTEMBER 12, 2023

The variety of technology in use also means you won’t always have a subject matter expert (SME) on hand to assist in the setup and configuration of new applications. Historical data and trends: Automated systems can efficiently store and analyze historical data, enabling trend analysis and pattern recognition.

Data-driven 64

Data-driven Cost-Benefit Predictive Analytics Machine Learning 64

Smart Data Collective

OCTOBER 3, 2019

This is one of the areas where big data helps the most. Big data enables you to identify the ROI that you are receiving from various online marketing services. Big data also helps with the quality of the services that you receive. Not sure what a digital marketing agency using big data can do for you? Conclusion.

Data-driven 79

Data-driven Marketing Big Data Machine Learning 79

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain. Open source solutions reduce risk.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

Cloudera

SEPTEMBER 12, 2018

The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Last night we kicked it off with the sixth annual Data Impact Awards Celebration. Enterprise Machine Learning: . Technical Impact.

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

Sisense

JANUARY 13, 2020

Analyzing data from disparate sources to identify relationships between processes, causes, and effects is part of what helps a business hone its product development strategy, manufacturing processes, the marketing and sales of those products, and the logistics of supply chain and delivery.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

IBM Big Data Hub

JUNE 14, 2023

Smart manufacturing (SM)—the use of advanced, highly integrated technologies in manufacturing processes—is revolutionizing how companies operate. Smart manufacturing, as part of the digital transformation of Industry 4.0 , deploys a combination of emerging technologies and diagnostic tools (e.g.,

Manufacturing 72

Manufacturing Technology Internet of Things Cost-Benefit 72

Sisense

OCTOBER 6, 2020

Traditional methods of gathering and organizing data can’t organize, filter, and analyze this kind of data effectively. Advanced technology and new approaches are needed. It provides the raw material for information that is more varied and harder to organize than structured, qualitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

AWS Big Data

MARCH 25, 2024

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. Streaming data facilitates the constant flow of diverse and up-to-date information, enhancing the models’ ability to adapt and generate more accurate, contextually relevant outputs. versions).

Data Lake 89

Data Lake Unstructured Data Management Modeling 89

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

CIO Business Intelligence

APRIL 15, 2022

According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year. And 20% of IT leaders say machine learning/artificial intelligence will drive the most IT investment. Dataset trained Microsoft chatbot to spew racist tweets.

Analytics 142

Analytics Machine Learning Insurance Testing 142

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

DataKitchen

NOVEMBER 29, 2021

DataOps adoption continues to expand as a perfect storm of social, economic, and technological factors drive enterprises to invest in process-driven innovation. As a result, enterprises will examine their end-to-end data operations and analytics creation workflows. The Hub-Spoke architecture is part of a data enablement trend in IT.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

IBM Big Data Hub

MAY 9, 2023

After some impressive advances over the past decade, largely thanks to the techniques of Machine Learning (ML) and Deep Learning , the technology seems to have taken a sudden leap forward. It helps facilitate the entire data and AI lifecycle, from data preparation to model development, deployment and monitoring.

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

AWS Big Data

NOVEMBER 29, 2023

This cloud service was a significant leap from the traditional data warehousing solutions, which were expensive, not elastic, and required significant expertise to tune and operate. Customers use Redshift ML to run an average of over 10 billion predictions a day within their data warehouses.

Data Warehouse 100

Data Warehouse Data Lake Analytics Machine Learning 100

Grooper

AUGUST 19, 2019

Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. People-process-technology speak is no longer enough to traverse the technological landscape. C-level executives and professionals alike must learn to speak a new language - data.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Cloudera

OCTOBER 19, 2023

This exponential growth in connected devices will force telcos to up their game, first by provisioning the capacity they need to scale and maintain next-gen 5G data networks, and later by improving the effectiveness of their data management and governance practices.

Data-driven 76

Data-driven Data Architecture Predictive Modeling Digital Transformation 76

IBM Big Data Hub

DECEMBER 20, 2023

Hybrid multiclouds are typically built on open-source , cloud-native technologies like Kubernetes. Identify the current and emerging business and technology challenges that a hybrid cloud approach could address and allow you to achieve digital transformation without significant disruption or downtime.

Strategy 94

Strategy Cost-Benefit Digital Transformation Optimization 94

IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 58

OLAP Slice and Dice Cost-Benefit Data Warehouse 58

BI-Survey

FEBRUARY 17, 2020

With the growing interconnectedness of people, companies and devices, we are now accumulating increasing amounts of data from a growing variety of channels. New data (or combinations of data) enable innovative use cases and assist in optimizing internal processes. However, effectively using data needs to be learned.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

AWS Big Data

FEBRUARY 22, 2023

The AWS Glue Data Catalog stores the metadata, and Amazon Athena (a serverless query engine) is used to query data in Amazon S3. AWS Secrets Manager is an AWS service that can be used to store sensitive data, enabling users to keep data such as database credentials out of source code.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

BI-Survey

FEBRUARY 14, 2022

Is our chosen technology still fit for purpose? Technical integration automates the data flows between sub-plans by translating the business planning model into processes and rules in the software. As the relevance of linking further operational sub-plans increases, the technological basis must also become more powerful.

Forecasting 52

Forecasting Uncertainty Measurement Software 52

Sisense

DECEMBER 11, 2019

It’s why Sisense, having merged with Periscope Data in May 2019, chose to host this event in Tel Aviv. The day’s first guest speaker, Itzik Parnafes, General Manager of global technology-focused VC investor Battery Ventures, set the scene, with an enlightening overview of the KPIs that VCs focus on during startup growth.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Smart Data Collective

MARCH 22, 2023

With the development of science and technology, we have witnessed the metamorphosis of all major industries, and the marine sector has had its fair share of change. Now, Big Data in the maritime industry is the new revolution. And data is everything in the twenty-first century.

Big Data 92

Big Data Advertising Data-driven Data Science 92

Alation

FEBRUARY 20, 2020

After investing in self-service analytic tooling, organizations are now turning their attention to linking infrastructure and tooling to data-driven decisions. The Forrester Wave : Machine Learning Data Catalogs, Q2 2018. This is Forrester’s inaugural Wave on data catalogs. A New Market Category.

Machine Learning 52

Machine Learning Marketing Reporting ROI 52

Alation

FEBRUARY 13, 2020

Key analyst firms like Forrester, Gartner, and 451 Research have cited “ soaring demands from data catalogs ”, pondered whether data catalogs are the “ most important breakthrough in analytics to have emerged in the last decade ,” and heralded the arrival of a brand new market: Machine Learning Data Catalogs.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

Ontotext

AUGUST 4, 2023

Working across data islands leads to siloed thinking and the inability to implement critical business initiatives such as Customer, Product, or Asset 360. As data is generated, stored, and used across data centers, edge, and cloud providers, managing a distributed storage environment is complex with no map to guide technology professionals.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

CIO Business Intelligence

MARCH 6, 2023

The company, which customizes, sells, and licenses more than one billion images, videos, and music clips from its mammoth catalog stored on AWS and Snowflake to media and marketing companies or any customer requiring digital content, currently stores more than 60 petabytes of objects, assets, and descriptors across its distributed data store.

Data Lake 59

Data Lake Cost-Benefit Recreation/Entertainment Experimentation 59

Alation

FEBRUARY 20, 2020

This new world of analytics has introduced a different set of complexities that have propelled IT organizations to build new technology infrastructures. For EA professionals, relying on people and manual processes to provision, manage, and govern data simply does not scale. How Data Catalogs Can Help. [2] -->.

Data Governance 52

Data Governance Dashboards Data Lake Big Data 52

CIO Business Intelligence

NOVEMBER 14, 2022

Modern analytics is about scaling analytics capabilities with the aid of machine learning to take advantage of the mountains of data fueling today’s businesses, and delivering real-time information and insights to the people across the organization who need it.

Analytics 92

Analytics Machine Learning Testing Data Strategy 92

CIO Business Intelligence

APRIL 12, 2022

A McKinsey study on the impact of this extended disruption found something very interesting: while 75% of companies surveyed faced problems with their supplier base, production and distribution, 85% said they struggled with “insufficient digital technologies” in the supply chain. The solution?

IoT 102

IoT Analytics Manufacturing Cost-Benefit 102

CIO Business Intelligence

APRIL 30, 2024

Together the technologies aim to help business users and “novice” data analysts explore their data and gain insights without having to resort to data experts. This is really empowering everyone to be a data expert,” Maxon said.

Analytics 69

Analytics Metrics Visualization Dashboards 69

Andrew White

JANUARY 11, 2021

So the material is not designed for IT – but spans business and technology. The fill report is here: Leadership Vision for 2021: Data and Analytics. How do you think Technology Business Management plays into this strategy? Where does the Data Architect role fits in the Operational Model ? Product Management.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 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