IBM Big Data Hub

SEPTEMBER 5, 2023

Mainframes sported green-screen terminals (or terminal emulators), mainframe-specific tools and programming languages, and entirely different ways of organizing and accessing data, managing security, and leveraging any operating system-level functionality. This is part four in a five-part series on mainframe modernization.

Software 130

Software Testing Digital Transformation Interactive 130

Cloudera

FEBRUARY 8, 2021

The digital revolution is making a deep impact on the automotive industry, offering practically unlimited possibilities for more efficient, convenient, and safe driving and travel experiences in connected vehicles. Within the vehicle, current electronics and wiring infrastructures were not designed for this complex data wrangling capability.

Machine Learning 107

Machine Learning Manufacturing Unstructured Data Modeling 107

CIO Business Intelligence

MAY 2, 2024

A seismic shift is underway in the evolution of the data center, driven by a variety of converging factors. Whether integrating cutting-edge AI capabilities trained on proprietary data or leveraging pre-built functionalities, the ability to optimize and automate workflows becomes effortless with a platform-centric approach.

Data-driven 98

Data-driven Optimization Machine Learning Modeling 98

CIO Business Intelligence

DECEMBER 4, 2023

Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management. Operationalizing data to drive revenue CIOs report that their roles are rising in importance and impact.

Unstructured Data 52

Unstructured Data Data Lake Metadata Business Objectives 52

IBM Big Data Hub

APRIL 8, 2024

In other words, they need a robust digital product lifecycle management (PLM) strategy. The key foundation of a strong PLM strategy is healthy and orderly product data, but data management is where enterprises struggle the most. Data is an asset, but to provide value, it must be organized, standardized and governed.

Data-driven 63

Data-driven Management Data Governance Strategy 63

IBM Big Data Hub

MARCH 8, 2024

Like its predecessors, 3G, 4G and 4G LTE, 5G technology uses radio waves for data transmission. Primarily, this is due to its ability to handle large volumes of data generated by complex devices using its networks. As mobile technology has expanded over the years, the amount of data users generate every day has increased exponentially.

IoT 111

IoT Broadcasting Internet of Things Technology 111

Cloudera

SEPTEMBER 17, 2020

Announcing the finalists of the Data Impact Awards is always a highlight in our annual Cloudera calendar, and this year is no different. The 2020 entrants have shown incredible data-driven innovation, problem-solving ability and have proven real-world impact. . Data Champions . Data for Enterprise AI. Data for Good.

B2B 95

B2B Enterprise Data-driven Data Science 95

CIO Business Intelligence

JULY 6, 2023

MacVittie adds, “You want the ability to stop those threats as soon as possible and in a more strategic location, like out on the internet, instead of in the data center. The Zero Trust/platform security connection More than 80% of survey respondents say they are adopting Zero Trust or planning to do so. And SECaaS gives you that.”

Software 98

Software Strategy Reporting Modeling 98

CIO Business Intelligence

OCTOBER 20, 2023

Challenges in APAC’s Multicloud Adoption Journey Organisations in Asia Pacific (APAC) are looking at multicloud solutions to help them navigate IT management complexity, digital skills gaps, and limited data and application visibility. It can also improve business continuity and disaster recovery and help avoid vendor lock-in.

Software 128

Software Management Data Processing Technology 128

DataRobot Blog

MARCH 8, 2023

Today, SAP and DataRobot announced a joint partnership to enable customers connect core SAP software, containing mission-critical business data, with the advanced Machine Learning capabilities of DataRobot to make more intelligent business predictions with advanced analytics. Tune in to learn more. Registration is free for both events.

Enterprise 105

Enterprise Experimentation Machine Learning Modeling 105

Cloudera

JANUARY 20, 2021

Consider that Manufacturing’s Industry Internet of Things (IIOT) was valued at $161b with an impressive 25% growth rate, the Connected Car market will be valued at $225b by 2027 with a 17% growth rate, or that in the first three months of 2020, retailers realized ten years of digital sales penetration in just three months.

Digital Transformation 107

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 107

IBM Big Data Hub

OCTOBER 16, 2023

APIs serve as essential connectors between the growing number of data sources and applications in companies of all sizes and in all industries. This means that businesses are relying on and creating more APIs than ever before to get the data they need to power their applications and experiences, and scale their operations.

Management 77

Management Testing Machine Learning Software 77

IBM Big Data Hub

JANUARY 10, 2024

Introduction to Red Hat Services Interconnect Red Hat Services Interconnect (RHSI), based on the popular open-source project Skupper, aims to simplify the hybrid cloud connectivity needed for applications. This helps with continuous business support through applications automating essential workflows.

Enterprise 73

Enterprise Data Processing Management Technology 73

IBM Big Data Hub

JANUARY 26, 2024

Telecommunications industry, a cornerstone of global connectivity, has been going through a technological renaissance for some time, driven by innovations such as 5G, IoT, cloud computing and AI. As a result, networks have become increasingly hard to manage.

IoT 108

IoT Data-driven Interactive Management 108

DataKitchen

FEBRUARY 27, 2024

Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure. Embedding: The retrieved data is encoded into embeddings that the LLM can interpret.

Data Quality 120

Data Quality Unstructured Data Testing Modeling 120

Rocket-Powered Data Science

FEBRUARY 15, 2023

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. These changes may include requirements drift, data drift, model drift, or concept drift. Generative AI is the biggest and hottest trend in AI (Artificial Intelligence) at the start of 2023.

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

IBM Big Data Hub

MAY 31, 2023

But there is one very practical and promising use case that has been commonly deployed without many people thinking about it: connected products. This use case involves devices and equipment embedded with sensors, software and connectivity that exchange data with other products, operators or environments in real-time.

Manufacturing 100

Manufacturing Internet of Things IoT Data-driven 100

CIO Business Intelligence

FEBRUARY 28, 2024

Their clients transfer the full management lifecycle of their loan accounts to this platform, which blends a range of digital functionality with a customer-focused call centre to streamline debt collection and resolution. Many organisations in India are migrating to the cloud, and there is no shortage of cloud providers.

Digital Transformation 113

Digital Transformation Software Data Processing Management 113

Cloudera

FEBRUARY 11, 2022

However, to understand what Ethical AI is, we need to have at least a basic understanding of ML, ML models and the data science lifecycle and how they are related. Instead, they are learned by training a model on data. Model performance generally improves with access to more data. What is Machine Learning.

Machine Learning 95

Machine Learning Sales Data Science Modeling 95

CIO Business Intelligence

MAY 4, 2023

For example, with a cloud-managed SD-WAN, a company can establish connectivity and security in about an hour. Once an application is up and running, the cloud operating model can support greater visibility into cloud and data center operations, application deployment, and performance.

Digital Transformation 111

Digital Transformation Cost-Benefit Modeling Strategy 111

DataRobot Blog

FEBRUARY 28, 2023

Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI. Exploratory Data Analysis After we connect to Snowflake, we can start our ML experiment.

Data Processing 72

Data Processing Experimentation Machine Learning Modeling 72

IBM Big Data Hub

APRIL 22, 2024

As data use and processing activities increase, so too will global emissions. IBM’s concrete actions to support AI sustainability AI creation requires vast amounts of energy and data. of IBM’s total electricity consumption came from renewable sources, including 74% of the electricity that IBM data centers consumed.

Cost-Benefit 100

Cost-Benefit Modeling Manufacturing Reporting 100

IBM Big Data Hub

DECEMBER 8, 2023

This growth is driven by increasing demand for advanced features in vehicles, stringent vehicle safety regulations, increased investments in research and development, and enhanced navigation and connectivity. The SDV separates hardware from software, allowing for updates and upgrades, automation or autonomy and constant connectivity.

Software 77

Software Testing Manufacturing Data-driven 77

Cloudera

DECEMBER 9, 2020

It’s been a few weeks since we celebrated the 2020 Data Impact Awards, and everyone at Cloudera is still on a high. The Connect the Data Lifecycle award was our fifth award at this year’s ceremony. And in so doing, enrich the organization and secure, report, serve and predict on all the data they have access to. .

Predictive Modeling 71

Predictive Modeling Data Warehouse Enterprise Management 71

erwin

JANUARY 9, 2020

Enterprises are trying to manage data chaos. They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan. GDPR: Key Differences.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

CIO Business Intelligence

FEBRUARY 24, 2023

Organizations are drawn to 5G because of these new levels of reliability, performance, and connectivity. For network operators, service providers, and equipment and solution providers, it’s no longer enough to secure voice and data across Layer 3 (network layer) and Layer 4 (transport layer) of the pipe. 5G is designed to go places.

Risk 122

Risk Digital Transformation IoT Enterprise 122

CIO Business Intelligence

NOVEMBER 16, 2022

Data shows that people continue to use our products on a more continuous basis. We can see all of the various processes, so with that unique vantage point, part of our role is to connect a number of those dots. We’ve also seen people at home researching, browsing, and purchasing more online.

IT 133

IT Modeling Digital Transformation Data Governance 133

DataKitchen

OCTOBER 28, 2021

We have the tools to create data analytics workflows that address AI bias. When our work processes for creating and monitoring analytics contain built-in controls against bias, data analytics organizations will no longer be dependent on individual social awareness or heroism. That’s an important start. What Is AI Bias?

Testing 130

Testing IT Manufacturing Metrics 130

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. DATA FOR ENTERPRISE AI.

Digital Transformation 68

Digital Transformation Machine Learning Optimization Data Lake 68

Teradata

NOVEMBER 1, 2021

Auto businesses must quickly evolve to become data-centric. Establishing & pulling on the digital threads that connect data through every aspect of the lifecycle of a vehicle will be critical.

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IBM Big Data Hub

FEBRUARY 15, 2024

But managing the sheer volume of data, nodes, pods, services and endpoints that comprise Kubernetes environments requires observability practices that are appropriate for the job. In DevOps , the concept of observability has evolved to refer to the end-to-end visibility of a system state as dictated by telemetry data.

Metrics 75

Metrics Key Performance Indicator Snapshot KPI 75

AWS Big Data

JULY 26, 2023

Data is a key enabler for your business. Many AWS customers have integrated their data across multiple data sources using AWS Glue , a serverless data integration service, in order to make data-driven business decisions. Are there recommended approaches to provisioning components for data integration?

Data Integration 73

Data Integration Snapshot Testing Visualization 73

CIO Business Intelligence

AUGUST 8, 2023

By bringing compute power closer to the point of action, edge computing allows real-time data processing, analytics, and decision-making, thereby improving the well-being and efficiency of front-line workers. Edge computing enables the implementation of intelligent safety systems that can analyze data from various sensors in real-time.

Machine Learning 98

Machine Learning IoT Digital Transformation Data Processing 98

IBM Big Data Hub

SEPTEMBER 20, 2022

Alongside the significant brand reputation risk, there’s also a growing set of data and AI regulations across the world and across industries — like the upcoming European Union AI Act — that companies must adhere to. How do you accommodate for drifting data patterns? How a data fabric enables trustworthy AI.

Metadata 57

Metadata Machine Learning Data-driven Modeling 57

Cloudera

MARCH 22, 2021

Cloudera Data Platform (CDP) Public Cloud allows users to deploy analytic workloads into their cloud accounts. These workloads cover the entire data lifecycle and are managed from a central multi-cloud Cloudera Control Plane. CDP provides the flexibility to deploy these resources into public or private subnets.

Testing 98

Testing Analytics Management IT 98

O'Reilly on Data

JULY 28, 2020

Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle. It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. The Core Responsibilities of the AI Product Manager. Identifying the problem. Agreeing on metrics.

Marketing 362

Marketing Experimentation Metrics Testing 362

Cloudera

SEPTEMBER 23, 2021

Likewise, slow data speeds don’t win over customers or colleagues in the real-time business world. Microsoft’s own research once reported that a person visiting a website on a connected device is likely to wait no more than 10 seconds to see it before moving to a competitor’s site. When Data Accelerates.

Reporting 81

Reporting Metrics Sales Data Collection 81