Smart Data Collective

NOVEMBER 20, 2022

Enter Big Data. Although big data isn’t a new concept, it has become a sought-after technology in the last few years. . The following blog discusses what you need to know about big data. You’ll learn what big data is, how it can affect your marketing and sales strategy, and more.

Big Data 132

Big Data Sales Marketing B2B 132

DataKitchen

OCTOBER 27, 2022

. Question: What is something the data industry is missing? The first step in solving that pain is to observe what’s happening with your data and analytics ‘estate’ and stick little thermometers at various points in the process and measure. Is the raw data correct? Is the raw data correct?

Dashboards 130

Dashboards Measurement Testing Modeling 130

IBM Big Data Hub

DECEMBER 18, 2023

It is relatively simple to see that something is wrong with your network using DNS data. It is a data problem. Yet, few provide the contextual information network that teams need to uncover the source of those errors, which can come from multiple directions and involve multiple DNS data points.

Dashboards 82

Dashboards Data Lake Metrics Sales 82

IBM Big Data Hub

SEPTEMBER 20, 2023

While that can mean hiring new talent like data scientists and software programmers, it should also mean providing existing workers with the training they need to manage AI-related projects. For example, public sector agencies can make better use of data by migrating certain technology systems to the cloud and infuse it with AI.

Cost-Benefit 110

Cost-Benefit Digital Transformation Technology Modeling 110

IBM Big Data Hub

MAY 9, 2023

These events can provide a wealth of information about what’s actually happening across your business at any moment in time. First, events can be locked away across a variety of different data sources, applications and systems. But operationalizing business events is challenging.

Business Intelligence 106

Business Intelligence Data-driven Marketing Enterprise 106

Rocket-Powered Data Science

JULY 19, 2023

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

Data-driven 186

Data-driven Enterprise Analytics Machine Learning 186

erwin

OCTOBER 16, 2020

It’s certainly no secret that data has been growing in volume, variety and velocity, and most companies are overwhelmed by managing it, let alone harnessing it to put it to work. quintillion bytes of data every day, and 90% of the world’s data volume has been created in the past two years alone.

Internet of Things 145

Internet of Things Data-driven Uncertainty Data Governance 145

Smart Data Collective

FEBRUARY 20, 2022

Whether it’s data management, analytics, or scalability, AWS can be the top-notch solution for any SaaS company. What is AWS? With over 200 fully functional services from data centers worldwide, Amazon Web Services (AWS) stands as the world’s most comprehensive and widely adopted cloud platform. Management of data.

Cost-Benefit 113

Cost-Benefit Data Lake Software Machine Learning 113

IBM Big Data Hub

FEBRUARY 29, 2024

Here, we will look at examples and applications of renewable energy across a variety of industries, its impact on energy systems and the energy technologies that will drive its use in the future. What is renewable energy? But with all of this new capacity, how are renewable energy resources really being used?

IoT 105

IoT Internet of Things Optimization Manufacturing 105

Smart Data Collective

OCTOBER 7, 2023

Meta is using Facebook data to train its algorithms for a variety of purposes , including identifying harmful content to make the platform more holistic. However, third-party companies are also using AI for a variety of reasons. We are continually surprised by all of the ways that AI technology is affecting our lives.

Interactive 97

Interactive Management Marketing IT 97

Ontotext

MARCH 13, 2024

What is OTKG? We started with our marketing content and quickly expanded that to also integrate a set of workflows for data and content management. Our standard methodology for such projects is to start by defining competency questions that would help us understand what we need to model in our graph.

Marketing 72

Marketing Knowledge Discovery Metadata Data-driven 72

IBM Big Data Hub

JANUARY 19, 2024

Last year, companies spent USD 219 billion on cybersecurity and solutions alone, a 12% increase from 2022, according to a recent report by the International Data Corporation (IDC) (link resides outside ibm.com). What is a disaster recovery plan (DRP)? What are business continuity plans and incident response plans?

Strategy 100

Strategy Cost-Benefit Testing Risk 100

Cloudera

NOVEMBER 29, 2023

What does the Model Registry offer? The Model Registry is designed to streamline these processes, offering a variety of tools and features. The Model Registry records who made changes to a model, when these changes were made, and what the changes entailed. Lineage Tracking : It’s essential to maintain traceability in MLOps.

Modeling 82

Modeling Machine Learning Metadata Metrics 82

IBM Big Data Hub

FEBRUARY 6, 2024

Cybersecurity and cyber recovery are types of disaster recovery (DR) practices that focus on attempts to steal, expose, alter, disable or destroy critical data. The following provides a concise summary of some of the terms above: What is disaster recovery? What is cyber recovery?

Cost-Benefit 98

Cost-Benefit Testing Risk Strategy 98

Cloudera

OCTOBER 31, 2023

This kind of question lends itself perfectly to data science approaches that enable quick and intuitive analysis of data across multiple sources. They released a blog this year with the results from their annual data mining, it includes the top 3 candies purchased for each state and the quantity purchased in pounds.

Data mining 77

Data mining Machine Learning Data Science Sales 77

IBM Big Data Hub

SEPTEMBER 19, 2023

They struggle to link IT outages to business impacts because data is often siloed and knowledge is tribal. What is Camunda? These tools typically understand a variety of technologies and can even automatically start monitoring them when an agent is deployed.

Measurement 88

Measurement Metrics Reporting IT 88

Smart Data Collective

NOVEMBER 12, 2021

While I understand that selling products, cutting costs and delivering brand strategy is important for long term business results, the lack of priority in using data troubles me. Data is really the only way to get a 360-degree view of your customer and how they behave online. Data-informed buyer persona.

Marketing 130

Marketing Advertising Data-driven Strategy 130

IBM Big Data Hub

JANUARY 11, 2024

Last year, companies around the world spent close to USD 219 billion on cybersecurity and security solutions, a 12% increase from the previous year according to the International Data Corporation (IDC) (link resides outside ibm.com.) Establishing your RTO and RPO are critical steps in your recovery process.

Cost-Benefit 104

Cost-Benefit Risk Enterprise Software 104

Cloudera

MAY 24, 2022

I recently attended the CeFPro environmental, social, and corporate governance (ESG) conference in London along with a variety of risk experts and ESG leaders from large global institutions. What third party data is needed to model climate risk? Then determine your inputs and how you will source that data.

Risk 83

Risk Measurement Modeling Risk Management 83

Cloudera

OCTOBER 5, 2023

In a previous blog post , we explored the power of Cloudera Observability in providing high-level actionable insights and summaries for Hive service users. In this blog, we will delve deeper into the insight Cloudera Observability brings to queries executed on Hive. What information should I use?

Metrics 73

Metrics Optimization IT Analytics 73

IBM Big Data Hub

APRIL 18, 2024

The results in this space often depend on the well-known triple: the data, the assumptions made and the method applied. The Data Instana monitors 100% of every call trace, maintaining information about the infrastructure and application for API calls, database queries, messaging and much more.

Metrics 65

Metrics Statistics Dashboards Management 65

Cloudera

OCTOBER 11, 2022

I recommend you read the entire piece, but to me the key takeaway – AI at scale isn’t magic, it’s data – is reminiscent of the 1992 presidential election, when political consultant James Carville succinctly summarized the key to winning – “it’s the economy”. It’s because of data. . Data science needs analytics.

Snapshot 89

Snapshot Data Science Digital Transformation Metadata 89

IBM Big Data Hub

SEPTEMBER 20, 2023

The nature of that partnership is pretty technical, involving powerful AI models—built with watsonx —that analyze massive data sets to generate insights that help ESPN Fantasy Football team owners manage their teams. What’s he like? Data has always been a big part of the game of football. EM: Not really.

Statistics 85

Statistics Technology Reporting Management 85

IBM Big Data Hub

MARCH 14, 2024

It has evolved into the de facto standard for data streaming, as over 80% of Fortune 500 companies use it. All major cloud providers provide managed data streaming services to meet this growing demand. A high (or an increase in) record-error-rate might indicate a loss in data or data not being processed as expected.

Metrics 93

Metrics Measurement Optimization Management 93

IBM Big Data Hub

JANUARY 25, 2024

Yet many AI creators are currently facing backlash for the biases, inaccuracies and problematic data practices being exposed in their models. Today, a tiny homogeneous group of people determine what data to use to train generative AI models, which is drawn from sources that greatly overrepresent English.

Modeling 91

Modeling Predictive Modeling Risk Statistics 91

IBM Big Data Hub

MAY 9, 2023

Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. Data must be laboriously collected, curated, and labeled with task-specific annotations to train AI models. Data: the foundation of your foundation model Data quality matters.

Enterprise 134

Enterprise Technology Modeling Cost-Benefit 134

Cloudera

SEPTEMBER 22, 2022

We’ve previously highlighted opportunities to improve digital claims processing with data and AI. To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter. Step one: gather the data. Utilizing a variety of data sources creates a more accurate picture of risks.

Analytics 95

Analytics Insurance IoT Risk 95

IBM Big Data Hub

MARCH 25, 2024

So, what is stopping companies from delivering content with generative AI across their content supply chain? Can they trust that what’s created isn’t going to break any brand guidelines? Knowing how to manifest these improvements is not always clear: Enter generative AI and the content supply chain.

Uncertainty 106

Uncertainty Cost-Benefit Risk Measurement 106

IBM Big Data Hub

NOVEMBER 30, 2022

But what is embeddable AI, and what are its uses? Embeddable AI is the first-of-a-kind suite of IBM core AI technologies that can be easily embedded within enterprise applications to serve a variety of use cases. Users can then mine the data using simple keyword searches to find the information they need.

Software 91

Software Technology Modeling Marketing 91

Cloudera

APRIL 22, 2022

This blog post was written by Dean Bubley , industry analyst, as a guest author for Cloudera. . Part of this emphasis extends to helping enterprises deal with their data and overall cloud connectivity as well as local networks. At the same time, operators are also becoming more data- and cloud-centric themselves.

Enterprise 133

Enterprise Internet of Things Manufacturing Management 133

IBM Big Data Hub

DECEMBER 18, 2023

One of the largest sources of data is all around us—that is, geospatial data. Geographic information systems (GIS ) visualize and make sense of this data, helping people and businesses better understand the patterns and relationships of our world. Read more about the initiative here.

Internet of Things 106

Internet of Things IoT Forecasting Visualization 106

IBM Big Data Hub

SEPTEMBER 12, 2023

Observability-driven automation leverages real-time insights from monitoring and telemetry data to inform intelligent automation processes. 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. Why is this a myth?

Data-driven 71

Data-driven Cost-Benefit Predictive Analytics Machine Learning 71

IBM Big Data Hub

OCTOBER 2, 2023

They discovered that AI models could in fact take someone’s past experiences—in different data formats—and convert them into digital credentials that that could then be validated by the job seeker and shared with potential employers. The users of this solution would represent a wide variety of communities.

Consulting 85

Consulting Risk Modeling Testing 85

Cloudera

NOVEMBER 19, 2021

where the output of an ML model is integrated into the broader business environment and delivers value) sits within the wider data ecosystem and involves cross-functional stakeholders. . An enterprise machine learning workflow from data engineers to business users. Data scientists need to perform data exploration and model building.

Machine Learning 119

Machine Learning Modeling Experimentation IT 119

erwin

JANUARY 17, 2020

What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

Smart Data Collective

MAY 16, 2022

AI can analyze data from a variety of sources to help businesses determine which benefits and salary levels will be most appealing to potential employees. In this blog post, we will discuss how AI is being used to create optimal employee compensation packages and the benefits this technology can offer your business. What is AI?

Cost-Benefit 113

Cost-Benefit Machine Learning Marketing Advertising 113

erwin

SEPTEMBER 10, 2020

Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Not everyone understands what end-to-end data lineage is or why it is important. Data Lineage Tells an Important Origin Story. Who are the data owners?

Data Governance 131

Data Governance Key Performance Indicator Digital Transformation Metadata 131