DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps is a term that refers to the set of practices and tools that organizations use to improve the quality and speed of data analytics and machine learning. This can help organizations to build trust in their data-related workflows, and to drive better outcomes from their data analytics and machine learning initiatives.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

IBM Big Data Hub

DECEMBER 14, 2023

In this blog, we will explore the concept of cyber resiliency from an IBM® perspective and how our approach can help organizations protect themselves in an ever-changing cybersecurity landscape. Continuous monitoring and learning : Cyber threats evolve rapidly, making it essential for organizations to stay ahead of the curve.

Risk 85

Risk Measurement Business Objectives Optimization 85

Cloudera

MAY 5, 2022

Namely, agency leaders and staff lack the modernized data infrastructure and tooling needed to fight FWA with such massive amounts of money and data flowing through their agencies. These platforms become even more powerful when integrated with AI and machine learning, as well as other forms of automation.

Machine Learning 99

Machine Learning Visualization Data Analytics Optimization 99

AWS Big Data

NOVEMBER 28, 2023

To run analytics on their operational data, customers often build solutions that are a combination of a database, a data warehouse, and an extract, transform, and load (ETL) pipeline. Zero-ETL is a set of integrations that eliminates the need to build ETL data pipelines. But integrating data isn’t easy.

Data Warehouse 89

Data Warehouse Data-driven Machine Learning B2B 89

CIO Business Intelligence

FEBRUARY 14, 2023

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. DataStax Real-time data and decisioning First, a few quick definitions. What kinds of decisions are necessary to be made in real-time?

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

Cloudera

FEBRUARY 1, 2024

Implementing the right platform is half the battle won — so congratulations on your choosing Cloudera’s industry-leading hybrid data platform for building your data solutions on a foundation of trusted data. In this blog, we’ll cover the highlights of our recently published Day 2 Operations Guide and why it matters to enterprises.

Optimization 84

Optimization Measurement Testing Publishing 84

Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines. Here are the key stages: .

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

IBM Big Data Hub

SEPTEMBER 13, 2023

In a nutshell, a payment rail is a platform or network infrastructure that allows all digital money transfers to be made between payers and payees, regardless of country, currency, payment method, channel or persona (whether the payer or payee is a business or consumer).

Forecasting 80

Forecasting Statistics Modeling Data Processing 80

AWS Big Data

APRIL 22, 2024

Amazon Managed Workflow for Apache Airflow (Amazon MWAA) is a managed service that allows you to use a familiar Apache Airflow environment with improved scalability, availability, and security to enhance and scale your business workflows without the operational burden of managing the underlying infrastructure. Python 3.6.0+ and Amazon MWAA 2.0+

Data-driven 100

Data-driven Management Cost-Benefit Testing 100

Cloudera

NOVEMBER 19, 2021

We are excited by the endless possibilities of machine learning (ML). We recognise that experimentation is an important component of any enterprise machine learning practice. Continuous Operations for Production Machine Learning (COPML) helps companies think about the entire life cycle of an ML model.

Machine Learning 123

Machine Learning Modeling Experimentation IT 123

DataRobot

NOVEMBER 16, 2021

Many organizations, including state and local governments, are dipping their toes into machine learning (ML) and artificial intelligence (AI). As we’ve discussed in this blog series, some are already reaping the rewards of AI through increased productivity, cost savings, etc. What is MLOps? Issues with Deployment.

Cost-Benefit 98

Cost-Benefit Machine Learning Modeling Risk 98

IBM Big Data Hub

JANUARY 30, 2024

Whether it’s adopting a multi-cloud solution, leveraging AI and machine learning, tapping into the power of edge computing or implementing sustainable practices, IBM and VMware can help propel your data center and your business towards new heights. Now we’ll look at how to get the most out of a modern data center.

Manufacturing 79

Manufacturing Business Objectives Optimization Risk Management 79

Business Over Broadway

FEBRUARY 14, 2021

Machine learning algorithms are employed by data professionals to predict important outcomes as well as find patterns and structure in their data. Machine learning algorithms are employed by data professionals to predict important outcomes as well as find patterns and structure in their data. Click image to enlarge.

Machine Learning 106

Machine Learning Data Science Reporting Marketing 106

Cloudera

DECEMBER 14, 2021

But with growing demands, there’s a more nuanced need for enterprise-scale machine learning solutions and better data management systems. The 2021 Data Impact Awards aim to honor organizations who have shown exemplary work in this area. . In 2021, the finalists under this category include the following organizations.

Data Lake 110

Data Lake Machine Learning Big Data Data-driven 110

CIO Business Intelligence

APRIL 25, 2023

One of the key priorities of the modern payment sector is to build an e-payments society with seamless interoperability among e-wallets. Most banks have very old infrastructure that doesn’t produce the data they need, to effectively engage with customers,” Nilendu says. Insider Intelligence found that 89% of U.S.

Digital Transformation 98

Digital Transformation Machine Learning Interactive Risk 98

IBM Big Data Hub

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

IBM Big Data Hub

DECEMBER 15, 2023

When AI algorithms, pre-trained models, and data sets are available for public use and experimentation, creative AI applications emerge as a community of volunteer enthusiasts builds upon existing work and accelerates the development of practical AI solutions.

Deep Learning 71

Deep Learning Experimentation Machine Learning Risk 71

Cloudera

OCTOBER 30, 2023

The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. The public cloud is increasingly becoming the preferred platform to host data analytics – related projects, such as business intelligence, machine learning (ML), and AI applications. Why FinOps?

Analytics 78

Analytics Cost-Benefit ROI Business Objectives 78

IBM Big Data Hub

OCTOBER 16, 2023

By looking critically at these examples, and at successes in overcoming bias, data scientists can begin to build a roadmap for identifying and preventing bias in their machine learning models. Companies are motivated to tackle the challenge of bias in AI not only to achieve fairness, but also to ensure better results.

Advertising 75

Advertising Machine Learning Data Architecture Cost-Benefit 75

IBM Big Data Hub

DECEMBER 14, 2023

Projects are a named collection of configurations that are used to manage related resources and Infrastructure as Code (IaC) deployments. As it has become tradition , the team creating the looks back and shares the personal highlights of the year 2023. IBM introduced watsonx as the AI and data platform built for business. Quite fascinating.

Experimentation 72

Experimentation Testing Software Management 72

IBM Big Data Hub

JANUARY 24, 2024

While many are choosing the cloud, let’s look at some reasons why a data center refresh may be the more advantageous choice: Operational efficiency We’ve observed that increased energy costs and greater focus on sustainability are pushing for better, more energy-efficient infrastructure.

Strategy 66

Strategy Data Processing Optimization Software 66

IBM Big Data Hub

DECEMBER 15, 2023

Organizations can also use machine learning to better analyze historical data around customer issues to create more valuable FAQs, improve call scripts and identify emerging issues that the organization can solve proactively. Good customer service can increase brand loyalty and bad customer service can hurt customer retention.

Machine Learning 74

Machine Learning Consulting Interactive Technology 74

Cloudera

MARCH 22, 2023

Over the past handful of years, systems architecture has evolved from monolithic approaches to applications and platforms that leverage containers, schedulers, lambda functions, and more across heterogeneous infrastructures. There are many logs and metrics, and they are all over the place. That’s where observability comes in. as they use CDP.

Metrics 88

Metrics Data Governance Cost-Benefit Dashboards 88

IBM Big Data Hub

DECEMBER 18, 2023

Even if the team is pushing the DNS feed into a data lake, SIEM, or processing platform, it can take a while to build out the dashboards and workflows to convert it into usable information. A spike in NXDOMAIN responses or other errors usually serves as a clear indication that something is amiss. It is a data problem.

Dashboards 81

Dashboards Data Lake Metrics Sales 81

IBM Big Data Hub

SEPTEMBER 15, 2023

In this blog post, you’ll learn how to record SSH sessions on a Red Hat Enterprise Linux (RHEL) VSI in a private VPC network using in-built packages. Additionally, you’ll learn how to set up a highly available bastion host. They serve similar purposes but have some differences in their implementation and use cases.

Data Processing 72

Data Processing Reporting Management Enterprise 72

IBM Big Data Hub

FEBRUARY 29, 2024

As more countries, companies and individuals seek energy sources beyond fossil fuels, interest in renewable energy continues to rise. In fact, world-wide capacity for energy from solar, wind and other renewable sources increased by 50% in 2023. trillion in 2023. But with all of this new capacity, how are renewable energy resources really being used?

IoT 104

IoT Internet of Things Optimization Manufacturing 104

IBM Big Data Hub

DECEMBER 4, 2023

Such measures indicate that the industry is aware of AI’s risks, which include bias in the data used by machine learning systems to train AI models that can skew recommendations or analyses. They must also make sure that customer data is secure and that its use is compliant with data privacy regulations.

Optimization 74

Optimization Testing Machine Learning Measurement 74

IBM Big Data Hub

FEBRUARY 6, 2024

Strong IT infrastructure and off-site data backup solutions help ensure business continuity and readiness in the face of a broad range of cyber-related threats. Today’s enterprises face a broad range of threats to their security, assets and critical business processes. What is cyber recovery?

Cost-Benefit 97

Cost-Benefit Testing Risk Strategy 97

IBM Big Data Hub

NOVEMBER 10, 2023

In this blog, we’ll look at five simple ways to optimize spend with IBM Turbonomic — a hybrid cloud cost optimization platform and the “Ops” in FinOps — while still leveraging the elasticity of the cloud. One of the challenges for IT, though, is controlling cloud consumption costs while moving workloads.

Optimization 74

Optimization Machine Learning Interactive Management 74

IBM Big Data Hub

JANUARY 11, 2024

Critical applications and systems of record are using these core systems as part of a hybrid infrastructure. Scarier still, the next generation of talent will be hard to recruit, as newer computer science graduates who learned Java and newer languages won’t naturally picture themselves doing mainframe application development.

Digital Transformation 108

Digital Transformation Modeling Deep Learning Visualization 108

IBM Big Data Hub

FEBRUARY 13, 2024

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” Design content, ad campaigns and innovative products that build better customer experiences. Remember how cool it felt when you first held a smartphone in your hand?

Enterprise 124

Enterprise Modeling Testing Data-driven 124

IBM Big Data Hub

AUGUST 9, 2023

In the ever-evolving landscape of cloud computing, businesses are continuously seeking robust, secure and flexible solutions to meet their IT infrastructure demands. VPC provides the flexibility to define custom IP address ranges, subnets and route tables, enabling users to build complex network topologies to mirror their on-premises setups.

Data Processing 78

Data Processing Testing Optimization Reporting 78

IBM Big Data Hub

APRIL 13, 2023

After developing a machine learning model, you need a place to run your model and serve predictions. Building ML infrastructure and integrating ML models with the larger business are major bottlenecks to AI adoption [1,2,3]. IBM Db2 can help solve these problems with its built-in ML infrastructure.

Modeling 90

Modeling Statistics Machine Learning Testing 90

Cloudera

AUGUST 31, 2018

Two years ago I founded Hyperpilot with the mission to enable autopilot for container infrastructure. We learned a lot about data center automation based on real-time application and diagnostic feedback using applied machine learning. Large-scale data and machine learning lie at the heart of Cloudera’s platform.

Machine Learning 69

Machine Learning Analytics Optimization Big Data 69

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.

Machine Learning 59

Machine Learning Data Science Statistics Deep Learning 59

CIO Business Intelligence

MARCH 31, 2023

By Eric Chien, Director of Security Response, Symantec Enterprise Division, Broadcom This is a continuation of Broadcom’s blog series: 2023 Tech Trends That Transform IT. Stay tuned for future blogs that dive into the technology behind these trends from more of Broadcom’s industry-leading experts. There was no time.

Risk 52

Risk Enterprise Technology Modeling 52

IBM Big Data Hub

JANUARY 10, 2024

To address these concerns the industry is embracing container runtime environments to abstract away infrastructure. RH OCP provides a common deployment, control and management environment for workloads across a diverse set of infrastructures that underpin a hybrid cloud.

Data Processing 77

Data Processing Risk Modeling Cost-Benefit 77