CIO Business Intelligence

NOVEMBER 17, 2023

Managed service provider business model Managed service providers structure their business to offer technology services cheaper than what it would cost an enterprise to perform the work itself, at a higher level of quality, and with more flexibility and scalability.

Management 126

Management IT IoT Cost-Benefit 126

Smart Data Collective

JANUARY 6, 2021

In this article, we are going to look into the two advanced technologies – IoT and AI which have brought some tremendous changes to the sports sector. However, limitations with standard analytical models t can keep them from assessing and recording those metrics. Role of IoT in bettering the sports domain.

Internet of Things 136

Internet of Things IoT Broadcasting Big Data 136

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. A complete DataOps program will have a unified, system-wide view of process metrics using a common data store. Datatron — Automates deployment and monitoring of AI models.

Testing 300

Testing Machine Learning Consulting Data Quality 300

AWS Big Data

FEBRUARY 20, 2024

You can ingest and integrate data from multiple Internet of Things (IoT) sensors to get insights. However, you may have to integrate data from multiple IoT sensor devices to derive analytics like equipment health information from all the sensors based on common data elements.

IoT 97

IoT Analytics Prescriptive Analytics Internet of Things 97

Rocket-Powered Data Science

JULY 21, 2023

Here are four specific metrics from the report, highlighting the potentially huge enterprise system benefits coming from implementing Splunk’s observability and monitoring products and services: Four times as many leaders who implement observability strategies resolve unplanned downtime in just minutes, not hours or days.

Machine Learning 190

Machine Learning Metrics Reporting Internet of Things 190

Rocket-Powered Data Science

JULY 19, 2023

The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage. Data scientists work with business users to define and learn the rules by which precursor analytics models produce high-accuracy early warnings.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

CIO Business Intelligence

JANUARY 24, 2024

Generative AI and large language models (LLMs) like ChatGPT are only one aspect of AI. Model sizes: ~5 billion to >1 trillion parameters. Model sizes: ~Millions to billions of parameters. Downsides: Not generative; model behavior can be a black box; results can be challenging to explain.

Deep Learning 86

Deep Learning Unstructured Data Machine Learning Modeling 86

IBM Big Data Hub

MARCH 8, 2024

Currently, other transformational technologies like artificial intelligence (AI), the Internet of Things (IoT ) and machine learning (ML) require much faster speeds to function than 3G and 4G networks offer. This makes 5G’s Block Error Rate (BER)—a metric of error frequency—much lower. How does 5G work?

IoT 101

IoT Broadcasting Internet of Things Technology 101

CIO Business Intelligence

SEPTEMBER 7, 2023

Each product team is given a scorecard with metrics around risks, vulnerabilities, observability, and automation levels. Ryan spent much of his career working in the Internet of Things space where he has introduced a number of innovations and holds a patent in real-time evaluations of telematics and IoT machine data.

Scorecard 79

Scorecard Internet of Things Testing IoT 79

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 84

Data Architecture Risk Management Risk Management 84

AWS Big Data

NOVEMBER 14, 2023

With data streaming, you can power data lakes running on Amazon Simple Storage Service (Amazon S3), enrich customer experiences via personalization, improve operational efficiency with predictive maintenance of machinery in your factories, and achieve better insights with more accurate machine learning (ML) models.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

AWS Big Data

APRIL 11, 2023

Such a solution should use the latest technologies, including Internet of Things (IoT) sensors, cloud computing, and machine learning (ML), to provide accurate, timely, and actionable data. Finally, we can use Amazon SageMaker to build forecasting models that can predict inventory demand and optimize stock levels.

Forecasting 78

Forecasting Management IoT Data-driven 78

CIO Business Intelligence

APRIL 27, 2023

At this time of dynamic business and market changes, uncertainty, and quickly evolving consumption models for IT infrastructure, every IT executive understands the benefits and necessity of network agility. Agile networks can respond quickly to changes in the market, customer demands, employee requirements, and technology advances.

Management 89

Management Internet of Things Cost-Benefit Uncertainty 89

CIO Business Intelligence

MAY 28, 2022

Liberty Mutual’s cloud infrastructure runs an array of business applications and analytics dashboards that yield real-time insights and predictions, as well as machine learning models that streamline claims processing. Here, McGlennon says governing controls, instrumentation, and observability metrics are key.

Insurance 134

Insurance Machine Learning Digital Transformation Cost-Benefit 134

CIO Business Intelligence

APRIL 14, 2022

As part of the digitization process, technology organizations can enable the measuring and tracking of ESG metrics such as energy consumption, greenhouse gas emissions, and water usage. After understanding the current state, think about which goals the technology function can drive. Smarter operations through integrated data and analytics.

Strategy 107

Strategy Digital Transformation IoT Measurement 107

CIO Business Intelligence

AUGUST 15, 2023

Shamim Mohammad, CIO, CarMax CarMax That volume created a Sisyphean task for the company’s content writers, as they struggled to provide up-to-date information by make, model, and year for each vehicle in the company’s constantly changing inventory. And it yields multiple business metric improvements, such as limiting surplus inventory.

IT 93

IT Manufacturing IoT Cost-Benefit 93

CIO Business Intelligence

NOVEMBER 29, 2022

Business analysts and data scientists put less trust in the data as data, process, and model drift increases across the different technology teams at integration points. High-value data products can have board-level KPIs and metrics associated with them. Data and cloud strategy must align.

Data Architecture 99

Data Architecture Data Integration IoT Strategy 99

DataKitchen

JULY 27, 2023

Data warehousing with Azure Synapse Analytics and Power BI : Data from various sources can be ingested into Azure Synapse Analytics, where it can be transformed and modeled to suit the needs of your analysis. Azure Machine Learning can then use this data to train, test, and deploy machine learning models. So go ahead.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

AWS Big Data

MARCH 7, 2023

It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers. This helps you process real-time sources, IoT data, and data from online channels. However, you aren’t limited to only these services.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

Smart Data Collective

JUNE 16, 2022

However, the rapid technology change, the increasing demand for user-centric processes and the adoption of blockchain & IoT have all positioned business analytics (BA) as an integral component in an enterprise CoE. CIOs, along with everyone on the leadership board use finance models to anticipate any hurdles. bn by 2025. .

Business Analytics 122

Business Analytics Analytics Forecasting Business Analysis 122

IBM Big Data Hub

JANUARY 8, 2024

Organizations implementing successful business transformations are more likely to grow their existing businesses, eliminate silos, create revenue growth and business models and reinvent how they handle their operations. Organizations are increasingly investing in digital transformation as a way to maintain or grow a competitive advantage.

Digital Transformation 62

Digital Transformation Strategy Key Performance Indicator Cost-Benefit 62

Cloudera

JULY 20, 2021

Once companies are able to leverage their data they’re then able to fuel machine learning and analytics models, transforming their business by embedding AI into every aspect of their business. . Risk models for financial institutions and insurers are exponentially more complicated . Airline schedules and pricing algorithms.

Manufacturing 104

Manufacturing Forecasting IoT Insurance 104

DataRobot Blog

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). As these models make inferences, DataRobot’s MLOps offering allows teams to monitor these models and create downstream triggers or alerts based on the predictions.

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

IBM Big Data Hub

FEBRUARY 23, 2024

DL models can improve over time through further training and exposure to more data. When a user sends a message, the system uses NLP to parse and understand the input, often by using DL models to grasp the nuances and intent. DL, a subset of ML, excels at understanding context and generating human-like responses.

Enterprise 99

Enterprise Interactive Data-driven Key Performance Indicator 99

CIO Business Intelligence

MAY 27, 2022

Liberty Mutual’s cloud infrastructure runs an array of business applications and analytics dashboards that yield real-time insights and predictions, as well as machine learning models that streamline claims processing. Here, McGlennon says governing controls, instrumentation, and observability metrics are key.

Insurance 89

Insurance Machine Learning Digital Transformation Cost-Benefit 89

IBM Big Data Hub

JANUARY 29, 2024

By updating a legacy system your business is embracing digital innovation and new business models. This operating model increases operational efficiency and can better organize big data. It also cuts carbon emissions by roughly 150 metric tons per year.

Digital Transformation 69

Digital Transformation Consulting Internet of Things Recreation/Entertainment 69

IBM Big Data Hub

FEBRUARY 7, 2024

Circular economy: When waste is a resource Waste not, want not: the circular economy model, which aims to minimize unnecessary waste and make the most of resources, is booming. This can be quantified by measuring metrics like tree cover, habitat integrity and number of species, and is guided by sustainable development principles.

Reporting 92

Reporting Internet of Things Cost-Benefit Data-driven 92

CIO Business Intelligence

JUNE 30, 2023

It’s well acknowledged that data, when used correctly, has the potential to be a strategic growth asset driving innovation – and with the recent developments in large language models (LLM) for AI, data is really having its day in the sun. To win the game, you need a modern, future-proof business plan.

Internet of Things 81

Internet of Things Strategy Data Strategy Risk 81

IBM Big Data Hub

JULY 5, 2023

Today, asset management software helps companies maintain the most important information about their assets—such as condition, maintenance and repair history, location, licensing and performance metrics—more accurately and efficiently. What follows are some asset lifecycle management best practices that companies rely on.

Strategy 54

Strategy Management IoT Cost-Benefit 54

Cloudera

DECEMBER 7, 2022

C (Cloudera is headquartered in the US, but we also recognize the superiority of the metric system). The ML model implemented as part of SAOT is trained to classify a play as either offsides or not. It uses two main sources of data as inputs: The first is Adidas’ new IoT enabled ball, the Al Rihla Pro.

Machine Learning 73

Machine Learning Modeling IoT Reporting 73

IBM Big Data Hub

JUNE 29, 2023

In order to take a proactive approach to asset reliability, maintenance managers rely on two widely used metrics: mean time between failure, (MTBF) and mean time to repair (MTTR). This information is then used to build predictive models of an asset’s performance over time and help spot potential problems before they arise.

Cost-Benefit 83

Cost-Benefit Measurement Management Predictive Analytics 83

Corinium

JUNE 6, 2019

In the long run, we see a steep increase in the proliferation of all types of data due to IoT which will pose both challenges and opportunities. Beyond that, we recommend setting up the appropriate data management and engineering framework including infrastructure, harmonization, governance, toolset strategy, automation, and operating model.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Sisense

MARCH 4, 2019

In addition, since Hunch’s DNNs are typically on the Mb scale, they can be easily deployed and distributed to thousands of users or IOT devices, putting incredibly fast Big Data analytics almost anywhere. The power of the Hunch system lies in the DNN training process, which ultimately yields the query approximation model.

Big Data 68

Big Data Data Analytics Analytics IoT 68

Smart Data Collective

JULY 4, 2023

AI models can detect an increase in mentions or events within specific domains and compare them to related data points. Reporting and analytics: digitization removes manual paperwork-based record keeping and provides instant insights on costs, timelines, and other performance metrics.

Technology 74

Technology Software Data-driven Measurement 74

CIO Business Intelligence

MAY 11, 2022

One of the recent practical approaches involves executing multiple operating models to find the best route out of the situation. In addition, the continued movement of data and processing to the edge through IoT means that businesses are equally dependent on “things.” Something happens! The immediate actions.

IoT 79

IoT Digital Transformation Strategy Risk 79

CIO Business Intelligence

APRIL 11, 2022

billion connected Internet of Things (IoT) devices by 2025, generating almost 80 billion zettabytes of data at the edge. The rise of 5G connectivity and more processing power at the edge has created new opportunities for machine learning (ML) and artificial intelligence (AI)–based workloads that thrive on a decentralized data model.

Optimization 52

Optimization Data Lake Data Strategy Internet of Things 52

CIO Business Intelligence

JUNE 7, 2023

Like the NFL, the NBA CTO opted to partner with Microsoft to leverage its Azure cloud platform, which Bhagavathula says contained all the digital components necessary to build the association’s streaming platform, while providing a cloud data lake and machine learning models the NBA could capitalize on for next-generation applications.

Digital Transformation 52

Digital Transformation Recreation/Entertainment Machine Learning Data Lake 52