IBM Big Data Hub

APRIL 24, 2024

Breaking down how the remoteli.io Breaking down how the remoteli.io Large language models (LLMs) may be the biggest technological breakthrough of the decade. They are also vulnerable to prompt injections , a significant security flaw with no apparent fix. It wasn’t hard to do. ” The bot would follow their instructions.

Risk 89

Risk Modeling Measurement Enterprise 89

AWS Big Data

AUGUST 21, 2023

Semantic search , supported by vector embeddings, embeds documents and queries into a semantic high-dimension vector space where texts with related meanings are nearby in the vector space and therefore semantically similar, so that it returns similar items even if they don’t share any words with the query.

Data Processing 89

Data Processing Experimentation Visualization Metrics 89

Smart Data Collective

NOVEMBER 1, 2020

With that being said, let’s have a closer look at how unsupervised machine learning is omnipresent in all industries. However, if you have no pre-existing labels and need to organize a dataset, that’d be called unsupervised machine learning. Unsupervised ML uses algorithms that draw conclusions on unlabeled datasets.

Machine Learning 133

Machine Learning Data mining Visualization Statistics 133

AWS Big Data

MARCH 22, 2024

Benchmark setup In our testing, we used the 3 TB dataset stored in Amazon S3 in compressed Parquet format and metadata for databases and tables is stored in the AWS Glue Data Catalog. The following graph shows performance improvements measured by the total query runtime (in seconds) for the benchmark queries.

Metadata 86

Metadata Statistics Broadcasting Optimization 86

CIO Business Intelligence

APRIL 28, 2022

Many organizations vest responsibility for creating what are usually called environmental, social, and governance (ESG) reports in a corporate sustainability officer or similar title. Measurement is technology-intensive. It’s much more computed and derived than measured,” Herman says. Is it perfect? No, but what is?”.

Measurement 98

Measurement Reporting Data-driven Manufacturing 98

Ontotext

MAY 26, 2021

But, as Ontotext’s CEO Atanas Kiryakov often says, we forget that nobody nurtures the Artificial Intelligence (AI) systems for 7 years to learn how to walk, talk, count, read, write and, even more important, not touch hot stoves and avoid tilting full glasses and asking: Can I get 3 more cookies? What do AI systems need to learn?

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

AWS Big Data

JUNE 6, 2023

AWS Glue Data Quality allows you to measure and monitor the quality of data in your data repositories. An operational scorecard is a mechanism used to evaluate and measure the quality of data processed and validated by AWS Glue Data Quality rulesets. The following architecture diagram shows an overview of the complete pipeline.

Data Quality 68

Data Quality Metrics Visualization Dashboards 68

Smart Data Collective

SEPTEMBER 28, 2021

Because most businesses devote their primary efforts to developing their brand, software applications, or network, new technologies are apt to transform how they operate. The following elucidates the same: l Improved Protective Measures. Moreover, this demonstrates how much more precise it is than traditional approaches.

IoT 132

IoT Internet of Things Cost-Benefit Consulting 132

CIO Business Intelligence

NOVEMBER 6, 2023

So how can IT pros prepare for success in the near future given the shifting business, technology, political, and economic landscape? Decisions around game-changing current and future technology require decisive action and possible investment to remain competitive. What worked yesterday is not going to work today or tomorrow.”

IT 139

IT Risk Technology Measurement 139

Depict Data Studio

DECEMBER 10, 2019

2: … and then count how many people are included! Ten years ago, I was a consultant to Federal and state education agencies, so my brain is still packed full of education-related datasets. Humor me and pretend like you work on similar datasets for a minute. You eavesdrop too, right? It’s hard to avoid. Person #2: Agreed.

Statistics 81

Statistics Consulting Reporting Measurement 81

FineReport

OCTOBER 25, 2021

Similar to the instrument panel equipped in a car, it transforms obscure expertise into plain visualizations which are pleasing to both the eye and mind. The power of BI insight enables any group or organization’s processes, initiatives, and projects to be well shown and measured. How many kinds of Data Dashboards? Examples.

Dashboards 98

Dashboards KPI Visualization Key Performance Indicator 98

Smart Data Collective

JUNE 4, 2021

Probability is the measurement of the likelihood of events. In reinforcement learning the algorithm teaches itself how to complete a task. The members in a group are similar to each other. Data science is one of the highest-paid jobs of the 21st century. Where to start? The Fundamentals. Probability. Probability distributions.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

CIO Business Intelligence

APRIL 14, 2022

Azure Open Datasets , for instance, includes census data and crime data as well as some data sets focused on understanding global climate change. With data-driven decisions and digital services at the center of most businesses these days, enterprises can never get enough data to fuel their operations. Who needs data as a service (DaaS)?

Enterprise 133

Enterprise Marketing Measurement Reporting 133

Alation

FEBRUARY 20, 2020

How do I Find and Understand Data? Further, unlike documents which are self-describing, it is not easy to “understand” what is inside a dataset and how to use it. Let me recall one of my own frustrating experiences around a similar scenario. I worked on the AdWords team at Google. code search).

Measurement 52

Measurement Visualization IT Technology 52

AWS Big Data

JUNE 5, 2023

In the previous post , we discussed how you can use AWS SDK for pandas to scale your workloads on AWS Glue for Ray. We explained how using both Ray and Modin within the library enabled us to distribute workloads across a compute cluster. In this post, we show some more advanced ways to use this library on AWS Glue for Ray.

Measurement 63

Measurement Management Interactive Analytics 63

Ontotext

APRIL 15, 2020

The FHIRCat group at the Mayo Clinic has published the CORD-19-on-FHIR dataset for COVID-19 research. The initial dataset consisted of 13,202 journal articles relevant to novel coronavirus research. In only a few months, the COVID-19 pandemic has swept across the world, spreading to more than 200 countries and territories.

Publishing 105

Publishing Metadata Data mining Technology 105

AWS Big Data

AUGUST 9, 2023

The advent of rapid adoption of serverless data lake architectures—with ever-growing datasets that need to be ingested from a variety of sources, followed by complex data transformation and machine learning (ML) pipelines—can present a challenge.

Data Lake 84

Data Lake Metrics Testing Cost-Benefit 84

AWS Big Data

MARCH 27, 2024

It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data. Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data.

Testing 96

Testing Data Warehouse Metrics Cost-Benefit 96

AWS Big Data

JUNE 6, 2023

AWS Glue Data Quality measures and monitors the quality of your dataset. In today’s data-driven world, companies rely on data to make informed decisions, gain a competitive edge, and provide exceptional customer experiences. However, not all data is created equal. In this post, we use the employees , customers , and products table.

Data Quality 66

Data Quality Data Lake Visualization Data-driven 66

datapine

JUNE 5, 2019

Data dashboards provide a centralized, interactive means of monitoring, measuring, analyzing, and extracting a wealth of business insights from relevant datasets in several key areas while displaying aggregated information in a way that is both intuitive and visual. “It is a capital mistake to theorize before one has data.”–

Dashboards 316

Dashboards KPI Sales Visualization 316

DataKitchen

JANUARY 3, 2022

Figure 1 below shows how contributions from two teams – an IT team on the right and a business analytics (BA) team on the left – must combine to create the analytics that serve business unit users. Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics. Analytics Hub and Spoke.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

AWS Big Data

FEBRUARY 29, 2024

Working with large language models (LLMs) for enterprise use cases requires the implementation of quality and privacy considerations to drive responsible AI. However, enterprise data generated from siloed sources combined with the lack of a data integration strategy creates challenges for provisioning the data for generative AI applications.

Data Governance 91

Data Governance Unstructured Data Metadata Data Lake 91

AWS Big Data

MARCH 7, 2023

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. Decoupled and scalable – Serverless, auto scaled, and fully managed services are preferred over manually managed services. Each service should be easily replaceable, enhanced with little or no dependency.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

CIO Business Intelligence

APRIL 18, 2022

Laney, a former distinguished VP analyst at Gartner, studied how companies used their data when he was with the research firm. “We How do you value it then? In 2006, British mathematician Clive Humby proclaimed, “Data is the new oil.”. Humby had bona fides to make that claim. But what if it is a support tool?

ROI 115

ROI IT Dashboards Sales 115

CIO Business Intelligence

AUGUST 24, 2023

With the full rollout scheduled for mid September, reviews of model outcomes and dashboards continue to show how data science can enable IT to help sales better target and drive improved revenue using AI and ML. The power of prediction Ram Bala, senior principal data scientist at Equinix, provides scope for the task at hand.

Sales 84

Sales Data-driven Digital Transformation Machine Learning 84

AWS Big Data

JULY 14, 2023

The PowerPoint presentation provided high-level information, but it didn’t give an insight into how capable each department is to provide the required data through APIs for the new products. In addition, this tool enhances the discovery and reuse of existing business capabilities, avoids duplication of services, and shortens time-to-market.

Modeling 68

Modeling Visualization Reporting Measurement 68

Smart Data Collective

JULY 30, 2019

But IBM isn’t the only one working with big data to better understand head injuries and use data to help with head injuries and how they’re treated. HII predicts that the future of TBI imaging will be able to offer computer-aided diagnosis which may be able to look at a large dataset of images to compare diagnosis with.

Big Data 78

Big Data Software Risk Measurement 78

Laminar Security

DECEMBER 13, 2023

Learn in this article how Laminar harnesses AI for data discovery and classification and reduces public cloud data risks. This is further exacerbated by the employment of outdated processes or solutions that are ill-equipped to cater to the demands of present-day cloud data security.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

Insight

MARCH 12, 2020

Using nothing more than a book’s synopsis, the AIgent can surface similar books, genre tags, and sales proxies. Galbraith eventually opted to publish Cuckoo’s Calling through an acquaintance of sorts. Interestingly, on the day that Galbraith was discovered to be none other than J.K. author of the Harry Potter series?—?sales

Modeling 59

Modeling Metadata Publishing Sales 59

Cloudera

SEPTEMBER 2, 2021

Normally on-premises, one of the key challenges was how to allocate resources within a finite set of resources (i.e., The tests ran for 3 hours on a 1 TB TPC-DS dataset queried from Hive. As testing concluded, we immediately noticed how the number of nodes was out of sync compared to the periodic load that was generated on the cluster.

Optimization 81

Optimization Testing Cost-Benefit Measurement 81

Cloudera

AUGUST 19, 2020

For this performance comparison, we measured HBase2 available in CDP Private Cloud 7 to Hbase1 available in CDH 5 using YCSB workloads. Workload performance: CDP 7 YCSB workload C had similar throughput (operations per second) to CDH 5. YCSB Workload C : CDP 7 YCSB read only workload C had similar operations/throughput to CDH 5 .

Testing 69

Testing Data Processing Snapshot Measurement 69

DataRobot Blog

JUNE 14, 2022

Many of the concepts between the two workflows are similar. The dataset includes features for race and gender. Clearly, this model is biased and we need to apply corrective measures to it if we wish to deploy it in the future. Many platforms, including DataRobot’s Bias and Fairness suite, allow you to do this. The Use Case.

Modeling 59

Modeling Measurement Testing Consulting 59

Alation

JANUARY 26, 2023

Users are more concerned about how their personal information is gathered and used. This has spawned new legislation controlling how data can be collected, stored, and utilized, such as the GDPR or CCPA. This article will focus on how data engineers can improve their approach to data governance.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

O'Reilly on Data

OCTOBER 22, 2020

They will get to what happened, along with when and how and why. . “ “ You can interrogate anyone, no matter what their state of being. It’s rarely their answers that unveil the truth, but the sequence of questions that you have to ask. “ – Inspector Pastor in La Fée Carabine, by Daniel Pennac. A lot of questions.

Consulting 296

Consulting Risk Cost-Benefit Modeling 296

Cloudera

NOVEMBER 15, 2021

If you’ve ever wondered how much data there is in the world, what types there are and what that means for AI and businesses, then keep reading! The word “data” is ubiquitous in narratives of the modern world. And data, the thing itself, is vital to the functioning of that world. Quantifications of data. Less will be analysed.

Unstructured Data 85

Unstructured Data Recreation/Entertainment Structured Data Reporting 85

IBM Big Data Hub

AUGUST 11, 2023

The advancement of computing power over recent decades has led to an explosion of digital data, from traffic cameras monitoring commuter habits to smart refrigerators revealing how and when the average family eats. Both computer scientists and business leaders have taken note of the potential of the data. What is MLOps?

Data Science 56

Data Science Machine Learning Cost-Benefit Deep Learning 56

CIO Business Intelligence

MARCH 30, 2022

Successful decision intelligence strategies, however, require an understanding of how organizational decisions are made, as well as a commitment to evaluate outcomes and manage and improve the decision-making process with feedback. It’s not a technology,” says Gartner analyst Erick Brethenoux. Here are some tips to help you do all of that.

Machine Learning 144

Machine Learning Risk Testing Data-driven 144