CIO Business Intelligence

JANUARY 24, 2024

Great for: Extracting meaning from unstructured data like network traffic, video & speech. Downsides: Lower accuracy; the source of dumb chatbots; not suited for unstructured data. Retraining, refining, and optimizing create efficiency so you can run on less expensive hardware.

Deep Learning 112

Deep Learning Unstructured Data Machine Learning Modeling 112

CIO Business Intelligence

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

Smart Data Collective

APRIL 5, 2022

The data science profession has become highly complex in recent years. Data science companies are taking new initiatives to streamline many of their core functions and minimize some of the more common issues that they face. IBM Watson Studio is a very popular solution for handling machine learning and data science tasks.

Cost-Benefit 122

Cost-Benefit Machine Learning Data Science Unstructured Data 122

CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. Data engineer vs. data architect.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

CIO Business Intelligence

APRIL 25, 2022

“You can think that the general-purpose version of the Databricks Lakehouse as giving the organization 80% of what it needs to get to the productive use of its data to drive business insights and data science specific to the business. Partner solutions to boost functionality, adoption.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

Smart Data Collective

NOVEMBER 16, 2021

Text mining and text analysis are relatively recent additions to the data science world, but they already have an incredible impact on the corporate world. As businesses collect increasing amounts of often unstructured data, these techniques enable them to efficiently turn the information they store into relevant, actionable resources.

Analytics 118

Analytics Unstructured Data Data Collection Software 118

CIO Business Intelligence

DECEMBER 19, 2023

A, head of the data science practice at Hexaware. It has emerged as a transformative force in managing bond investment risks by automating and optimizing complex analytical tasks. This can be a complex and resource-intensive process, often involving extensive manual audits and detailed risk assessment processes.

Risk 52

Risk Cost-Benefit Unstructured Data Data-driven 52

Smart Data Collective

SEPTEMBER 23, 2020

Many people are confused about these two, but the only similarity between them is the high-level principle of data storing. It is vital to know the difference between the two as they serve different principles and need diverse sets of eyes to be adequately optimized. This is a vital disparity between data warehouses and data lakes.

Data Lake 106

Data Lake Data Warehouse Unstructured Data Big Data 106

CIO Business Intelligence

JULY 10, 2023

One of the ways Rokita is looking to stay ahead in the AI landscape is the creation of a new ChatGPT plugin that exposes Edmunds’ unstructured data—vehicle reviews, ratings, editorials—to the generative AI. The team replaced Netezza with Amazon Redshift and later added the Databricks cloud platform for data science and AI.

Data Warehouse 98

Data Warehouse Cost-Benefit Unstructured Data Machine Learning 98

Cloudera

JANUARY 5, 2021

Website Operations —Analyze website operations to improve efficiencies in order fulfillment service levels, optimize delivery options offered. Consolidated Inventory & Sales Data — Build an enterprise view of sales and inventory across all channels.

Forecasting 90

Forecasting Cost-Benefit Sales Unstructured Data 90

Smart Data Collective

APRIL 5, 2021

Big data has become the lifeblood of small and large businesses alike, and it is influencing every aspect of digital innovation, including web development. What is Big Data? Big data can be defined as the large volume of structured or unstructured data that requires processing and analytics beyond traditional methods.

Big Data 107

Big Data IT Data-driven Sales 107

Sisense

JANUARY 22, 2021

Implicit among assumptions about machine learning is that algorithms will identify a pattern or outcome in time-series data, for example, which human beings could not do in practical time. Therefore, let’s see how ML models in asset management and optimal portfolio trading produce actionable insights.

Machine Learning 52

Machine Learning Unstructured Data Forecasting Advertising 52

bridgei2i

MARCH 9, 2021

A partnership with an advanced AI data company comes with various advantages. The experts working in the Artificial Intelligence field aren’t just experts of advanced programming – they’re also masters of data science. What Can an AI-Powered Data Company Do? A top AI data company will have clients from all industries.

Technology 52

Technology Unstructured Data Insurance Sales 52

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Determining what changes must be made to the existing architecture.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

Rocket-Powered Data Science

MAY 21, 2024

One example of Pure Storage’s advantage in meeting AI’s data infrastructure requirements is demonstrated in their DirectFlash® Modules (DFMs), with an estimated lifespan of 10 years and with super-fast flash storage capacity of 75 terabytes (TB) now, to be followed up with a roadmap that is planning for capacities of 150TB, 300TB, and beyond.

Cost-Benefit 173

Cost-Benefit Unstructured Data Enterprise Technology 173

Ontotext

NOVEMBER 2, 2023

This is partly because integrating and moving data is not the only problem. The data itself is stored in a way that is not optimal for extracting insight. Unlocking additional value from data requires context, relationships, and structure, none of which are present in the way most organizations store their data today.

IT 69

IT Cost-Benefit Data-driven Technology 69

bridgei2i

OCTOBER 7, 2020

Sometimes due to excessive volume of data, an underwriter can get confused and is unable to measure risk appropriately. Importance of capturing market data for optimized pricing models. But the sheer volume of data might cloud manual judgments and here is where automation and digitization could help.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

Cloudera

SEPTEMBER 17, 2018

Cloudera recently launched Cloudera Data Warehouse, a modern data warehousing solution. It is designed and optimized to help with the majority of stress elements outlined above. No need to be a 100% expert on your data. Here are some highlights: Data Ingest. Most data is ingested through data engineering pipelines.

Data Warehouse 52

Data Warehouse Optimization Visualization Unstructured Data 52

IBM Big Data Hub

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. Named entity recognition (NER): NER extracts relevant information from unstructured data by identifying and classifying named entities (like person names, organizations, locations and dates) within the text.

Data mining 57

Data mining Machine Learning Deep Learning Marketing 57

Cloudera

AUGUST 30, 2018

How do I enable self-service for my rapidly growing data science teams? How do I get to the next level in the data-driven journey fast enough? How do I meet a growing demand for self-serve BI, while not exploding my data warehouse budgets? How can I optimize my rate of return and continue to drive innovation?

Enterprise 40

Enterprise Data-driven Digital Transformation Machine Learning 40

bridgei2i

APRIL 23, 2020

Better Forecasting and Optimization. They also have to assess loss forecasting and reserving based on new data sources. AI can assess quantitative data, as well as unstructured data systems, for better risk management of financial and reputational losses. Learn MORE. “and

Risk 52

Risk Management Scorecard Forecasting 52

AWS Big Data

MARCH 10, 2023

Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats. However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes.

Data Lake 105

Data Lake Sales Data Warehouse Snapshot 105

Cloudera

NOVEMBER 7, 2023

Are you struggling to manage the ever-increasing volume and variety of data in today’s constantly evolving landscape of modern data architectures? Apache Ozone is compatible with Amazon S3 and Hadoop FileSystem protocols and provides bucket layouts that are optimized for both Object Store and File system semantics.

Unstructured Data 100

Unstructured Data Data Architecture Optimization Interactive 100

DataKitchen

APRIL 13, 2021

Piperr.io — Pre-built data pipelines across enterprise stakeholders, from IT to analytics, tech, data science and LoBs. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Genie — Distributed big data orchestration service by Netflix. Data breaks.

Testing 300

Testing Machine Learning Consulting Data Quality 300

CIO Business Intelligence

MARCH 9, 2022

As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Data Quality 119

CIO Business Intelligence

NOVEMBER 25, 2022

Carhartt opted to build its own enterprise data warehouse even as it built a data lake with Microsoft and Databricks to ensure that its handful of data scientists have both engines with which to manipulate structured and unstructured data sets. Today, we backflush our data lake through our data warehouse.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

Rita Sallam

JULY 22, 2016

Q2: Would you consider Sisense better than others in handling big and unstructured data? Not sure about that, but Sisense is well suited for easily harmonizing, combining and modeling many different, complex and large data sets for fast interactive analysis. Research VP, Business Analytics and Data Science.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated. The approach they’ve used applies to other popular data science APIs such as NumPy , Tensorflow , and so on.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Cloudera

JULY 26, 2021

Once we have identified those capabilities, the second article explores how the Cloudera Data Platform delivers those prerequisite capabilities and has enabled organizations such as IQVIA to innovate in Healthcare with the Human Data Science Cloud. . Business and Technology Forces Shaping Data Product Development.

Strategy 115

Strategy Data Science Marketing Unstructured Data 115

IBM Big Data Hub

JANUARY 10, 2024

Artificial intelligence (AI) refers to the convergent fields of computer and data science focused on building machines with human intelligence to perform tasks that would previously have required a human being. For optimal performance, AI models should receive data from a diverse datasets (e.g.,

Unstructured Data 82

Unstructured Data Deep Learning Cost-Benefit Modeling 82

O'Reilly on Data

SEPTEMBER 19, 2023

While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.” Both situations benefit from a technique that optimizes the search through a large and daunting solution space.

Machine Learning 247

Machine Learning Testing Modeling Cost-Benefit 247

CIO Business Intelligence

JUNE 14, 2023

To accomplish this, we will need additional data center space, more storage disks and nodes, the ability for the software to scale to 1000+PB of data, and increased support through additional compute nodes and networking bandwidth. Focus on scalability.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

CIO Business Intelligence

JUNE 29, 2022

If you can’t make sense of your business data, you’re effectively flying blind. Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance. Datamarts in Power BI.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

Cloudera

OCTOBER 29, 2020

At Cloudera, we set out to directly address these lifecycle challenges through the Cloudera Data Platform (CDP) — the only hybrid-cloud, multi-cloud enterprise data platform built for the full data lifecycle. . Over the past months, we’ve been busy innovating and optimizing how teams across the lifecycle work together.

Visualization 106

Visualization Machine Learning Dashboards Data Warehouse 106

Cloudera

AUGUST 31, 2020

As SMG continued to innovate, the scale, variety and velocity of data made its legacy warehouse environment show its limits. LLAP operates on open columnar data formats like ORC which are often used by Data Science tools like Spark, seamlessly enabling AI and Data Science on the same datasets. .

Slice and Dice 63

Slice and Dice Management Data Warehouse Analytics 63

IBM Big Data Hub

AUGUST 1, 2023

Together with data stores, foundation models make it possible to create and customize generative AI tools for organizations across industries that are looking to optimize customer care, marketing, HR (including talent acquisition) , and IT functions.

Modeling 59

Modeling Cost-Benefit Data Lake Machine Learning 59