IBM Big Data Hub

SEPTEMBER 12, 2023

Automation streamlines the root-cause analysis process with machine learning algorithms, anomaly detection techniques and predictive analytics, and it helps identify patterns and anomalies that human operators might miss. ” – Eddie Castillo, Head of Marketing, ExaVault Inc.

Data-driven 72

Data-driven Cost-Benefit Predictive Analytics Machine Learning 72

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 109

Analytics Digital Transformation Risk Forecasting 109

Smart Data Collective

FEBRUARY 25, 2021

Due to these benefits, the global market for AI is projected to be worth $733 billion by 2027. Today, competition is so rough that every business must be extraordinary in order to survive in the market. Because word of mouth will always be one of the best marketing practices. Do you love your customers?

Software 63

Software Machine Learning Marketing Technology 63

Smart Data Collective

APRIL 5, 2021

Data science is transforming the way web development and designs are created for more consumer satisfaction. With machine learning and artificial intelligence, web developmental updates can be done automatically, considering the data patterns and user flow. Advantages of Using Big Data for Web Design.

Big Data 108

Big Data IT Data-driven Sales 108

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

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Enterprise Machine Learning: . Technical Impact.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Alation

JANUARY 26, 2023

Data is a key asset for businesses in the modern world. Used correctly, it can improve internal operations, power marketing strategies, and much more. That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

Sisense

OCTOBER 6, 2020

Let’s consider the differences between the two, and why they’re both important to the success of data-driven organizations. Digging into quantitative data. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?” Getting the most from qualitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

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. AI algorithms identify everything but COVID-19.

Analytics 145

Analytics Machine Learning Insurance Testing 145

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 80

Machine Learning Manufacturing Cost-Benefit Deep Learning 80

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 103

Data Warehouse Data Lake Analytics Machine Learning 103

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 64

OLAP Slice and Dice Cost-Benefit Data Warehouse 64

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 77

Data-driven Data Architecture Predictive Modeling Digital Transformation 77

DataKitchen

NOVEMBER 29, 2021

The global AI market is projected to grow at a compound annual growth rate (CAGR) of 33% through 2027 , drawing upon strength in cloud-computing applications and the rise in connected smart devices. The Hub-Spoke architecture is part of a data enablement trend in IT. AI Accountability.

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. This results in both increased ROI and much faster time to market. Today is a revolutionary moment for Artificial Intelligence (AI).

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

Grooper

AUGUST 19, 2019

Successfully navigating the 20,000+ analytics and business intelligence solutions on the market requires a special approach. Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. Sales data helps services prepare and predict changes in volume.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

IBM Big Data Hub

DECEMBER 20, 2023

Today, hybrid cloud security platforms combine artificial intelligence (AI) , machine learning and automation to ingest high volumes of complex security data, enabling near-real-time threat detection and prediction. Developer productivity : Enable DevOps and other teams to collaborate with greater agility and velocity.

Strategy 105

Strategy Cost-Benefit Digital Transformation Optimization 105

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 94

Data Analytics Analytics Data Warehouse Data Lake 94

IBM Big Data Hub

JUNE 14, 2023

In smart factories, IIoT devices are used to enhance machine vision, track inventory levels and analyze data to optimize the mass production process. Artificial intelligence (AI) One of the most significant benefits of AI technology in smart manufacturing is its ability to conduct real-time data analysis efficiently.

Manufacturing 79

Manufacturing Technology Internet of Things Cost-Benefit 79

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 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.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

BI-Survey

FEBRUARY 14, 2022

Overnight, the impact of uncertainty, dynamics and complexity on markets could no longer be ignored. Particularly in dynamic markets, up-to-date information is essential for well-founded decisions. With increasingly dynamic markets and competition, up-to-date information is essential to make well-founded decisions.

Forecasting 52

Forecasting Uncertainty Measurement Software 52

Sisense

DECEMBER 11, 2019

Similarly, Kyle outlined how Flexport , the world’s first international freight forwarder and customs brokerage built around an online dashboard, uses Periscope Data to analyze billions of records, and get answers in seconds. Kyle said: We empower data analysts to create more business value than any other BI platform.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Smart Data Collective

MARCH 22, 2023

And data is everything in the twenty-first century. Data enables commercial decision-makers to base their choices on facts, statistical data, and trends. Industries like maritime have conventionally utilized enterprise resource planning (ERP) and other dispersed storage systems to utilize data.

Big Data 92

Big Data Advertising Data-driven Data Science 92

Alation

FEBRUARY 20, 2020

While this requires technology – AI, machine learning, log parsing, natural language processing,metadata management, this technology must be surfaced in a form accessible to business users – the data catalog. The Forrester Wave : Machine Learning Data Catalogs, Q2 2018. 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

Alation

FEBRUARY 20, 2020

In a nod to AC/DC, a wink to Gartner’s research report, Data Catalogs Are the New Black in Data Management and Analytics , and inspiration from the inaugural Forrester Wave : Machine Learning Data Catalogs , we have temporarily set aside our Alation orange and have been rocking “black” for the Alation MLDC World Tour.

Machine Learning 52

Machine Learning Metadata Reporting Data-driven 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 88

Data Lake Cost-Benefit Recreation/Entertainment Experimentation 88

Alation

FEBRUARY 20, 2020

there has to be a business context, and the increasing realization of this context explains the rise of information stewardship applications.” – May 2018 Gartner Market Guide for Information Stewardship Applications. The rise of data lakes, IOT analytics, and big data pipelines has introduced a new world of fast, big data.

Data Governance 52

Data Governance Data Lake Dashboards Big Data 52

CIO Business Intelligence

NOVEMBER 14, 2022

While many organizations still struggle to get started, the most innovative organizations are using modern analytics to improve business outcomes, deliver personalized experiences, monetize data as an asset, and prepare for the unexpected. Being locked into a data architecture that can’t evolve isn’t acceptable.”

Analytics 111

Analytics Machine Learning Testing Data Strategy 111

CIO Business Intelligence

APRIL 30, 2024

For example, a marketing executive could use the feature to ask, “Which market is contributing the most to lead gen in my campaign?” Tableau says a user working in hospitality could click “Draft with Einstein” for data about travel. The new Tableau Pulse capabilities announced today include: “Ask” Q&A.

Analytics 96

Analytics Metrics Visualization Dashboards 96

CIO Business Intelligence

APRIL 12, 2022

Further, the tools and devices available on the market are proprietary and prone to vendor lock-in. That is changing with the introduction of inexpensive IoT-based data loggers that can be attached to shipments. Complex infrastructure not needed. Setting them up is a byzantine, time-consuming process.

IoT 106

IoT Analytics Manufacturing Cost-Benefit 106

Andrew White

JANUARY 11, 2021

How does CDO overlap with Market Research functions? Do Qual data sources for example text, which tend to live in MR cross into the CDO world? I suspect some of our analysts who cover market research would have insight here. For example, it is possible the CDO is the head of Marketing. This is not how it works though.

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