Smart Data Collective

AUGUST 11, 2022

Sustaining the responsible use of machines. Human labeling and data labeling are however important aspects of the AI function as they help to identify and convert raw data into a more meaningful form for AI and machine learning to learn. However, Ai uses algorithms that can screen and handle large data sets.

Data Quality 129

Data Quality Machine Learning Digital Transformation Big Data 129

CIO Business Intelligence

APRIL 27, 2023

Artificial intelligence and machine learning (AI/ML) were not advanced enough to accurately capture, organize, and interpret the data to make accurate recommendations. Machine learning has also greatly advanced over the past several years. There were also limitations in technology.

Management 97

Management Internet of Things Cost-Benefit Uncertainty 97

CIO Business Intelligence

APRIL 14, 2022

CIOs have a growing opportunity to set the tone for their organizations and play a fundamental part in defining ESG strategy enterprise-wide and adopting sustainability into their own digital transformation initiatives. Step 1: Identify enterprise ESG goals that IT can deliver through digital transformation.

Strategy 111

Strategy Digital Transformation IoT Measurement 111

CIO Business Intelligence

FEBRUARY 9, 2024

Like many other professional sports leagues, the NFL has been at the leading edge of data-driven transformation for years. This season, the NFL has worked closely with Amazon Web Services (AWS) to debut a new joint effort: Digital Athlete. You’re not building a model, setting it, and going, right?

Recreation/Entertainment 134

Recreation/Entertainment Data-driven Risk Digital Transformation 134

Cloudera

SEPTEMBER 29, 2021

Digital transformation has been talked about for many years, but the pandemic has accelerated the digital transformation journeys for many enterprises. While going digital may be commonly associated with the private sector, governments and the organizations in the public sector have much to gain by going digital as well.

Digital Transformation 83

Digital Transformation Data Governance Data-driven Uncertainty 83

Smart Data Collective

AUGUST 2, 2022

This figure is expected to grow as more companies recognize the potential and decide to increase the resources they dedicate to machine learning and predictive analytics tools. They have also used machine learning to automate the transportation of important materials. Big data. AI-based software development.

Software 126

Software Machine Learning B2B Manufacturing 126

Smart Data Collective

APRIL 8, 2020

sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates.

Technology 134

Technology Data Warehouse Big Data Machine Learning 134

CIO Business Intelligence

SEPTEMBER 19, 2023

When Lufthansa Group’s business was disrupted by the COVID-19 pandemic, its call centers were overwhelmed with customers trying to navigate cancelled and rescheduled flights, accelerating the company’s move toward digital transformation in these areas.

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

CIO Business Intelligence

AUGUST 25, 2023

Hot Melt Optimization employs a proprietary data collection method using proprietary sensors on the assembly line, which, when combined with Microsoft’s predictive analytics and Azure cloud for manufacturing, enables P&G to produce perfect diapers by reducing loss due to damage during the manufacturing process.

Predictive Analytics 98

Predictive Analytics IoT Manufacturing Analytics 98

CIO Business Intelligence

JULY 20, 2023

For instance, Walmart’s AI solution Eden leverages machine learning to optimize inventory levels and predict demand across its stores. By putting algorithms to work on big data collected from diverse sources, retailers can intelligently predict what customers will buy and in which order.

Technology 75

Technology Forecasting Advertising Machine Learning 75

CIO Business Intelligence

DECEMBER 19, 2023

Support for data lake connectivity In addition to creating a secure, private multi-cloud connectivity environment, agencies also benefit from the ability to connect easily and securely to data lakes. Data lakes store raw data that can be used for various purposes, mostly focused on analytics, machine learning, and data visualization.

Data Lake 106

Data Lake Management Cost-Benefit Data Processing 106

IBM Big Data Hub

JANUARY 15, 2024

In 2024, the ongoing process of digitalization further enhances the efficiency of government programs and the effectiveness of policies, as detailed in a previous white paper. Two critical elements driving this digital transformation are data and artificial intelligence (AI).

Machine Learning 64

Machine Learning Digital Transformation Modeling Data Collection 64

CIO Business Intelligence

APRIL 7, 2023

Digital transformation is crucial for the sustainability and resilience of professional accountancy organizations to meet changing business and market demands,” according to the International Federation of Accountants. CIO, Digital Transformation, Finance and Accounting Systems, IT Leadership

Management 98

Management Digital Transformation B2B Marketing 98

Cloudera

SEPTEMBER 15, 2021

And that comes down to being able to act on data at the precise time it requires action. Deploying machine learning (ML) and analytics capabilities at the edge is what makes this possible. . In such a scenario, data latency is essentially unavoidable — and, when real-time action is required, inadmissible.

IoT 120

IoT Analytics Internet of Things Data Lake 120

CIO Business Intelligence

APRIL 29, 2022

Software development, once solely the domain of human programmers, is now increasingly the by-product of data being carefully selected, ingested, and analysed by machine learning (ML) systems in a recurrent cycle. The shift away from ‘Software 1.0’ era is upon us.

Data Governance 145

Data Governance IT Risk Data Lake 145

Cloudera

OCTOBER 11, 2022

Which means no digital transformation. Data and AI projects cost more and take longer. This leads to the obvious question – how do you do data at scale ? Al needs machine learning (ML), ML needs data science. Innovation stalls. Risk increases.

Snapshot 94

Snapshot Data Science Digital Transformation Metadata 94

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years.

Cost-Benefit 120

Cost-Benefit Internet of Things Data-driven Data Lake 120

CIO Business Intelligence

SEPTEMBER 2, 2022

Software engineers are at the forefront of digital transformation in the financial services industry by helping companies automate processes, release scalable applications, and keep on top of emerging technology trends. You’ll be required to write code, troubleshoot systems, fix bugs, and assist with the development of microservices.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

Software engineers are at the forefront of digital transformation in the financial services industry by helping companies automate processes, release scalable applications, and keep on top of emerging technology trends. You’ll be required to write code, troubleshoot systems, fix bugs, and assist with the development of microservices.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 1, 2023

Data collection on tribal languages has been undertaken for decades, but in 2012, those working at the Myaamia Center and the National Breath of Life Archival Institute for Indigenous Languages realized that technology had advanced in a way that could better move the process along.

Risk 98

Risk IT Software Digital Transformation 98

Cloudera

AUGUST 6, 2021

We have increasingly moved purchases online in recent years fueled by the COVID-19 pandemic and general trends in Digital Transformation. Providing teams with access to data insights at the right time, supported by a culture of making data- driven decisions leads to an overall improved customer experience.

Data-driven 105

Data-driven B2B Data Strategy Strategy 105

IBM Big Data Hub

FEBRUARY 14, 2024

Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed. These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. Businesses are then introduced to modern data science and data intelligence tools to enhance and fine-tune their products and processes. Data quality management.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

CIO Business Intelligence

JUNE 7, 2023

The NBA’s full-court press on digital technologies has revolutionized the fan, player, and team experience, thanks to accelerated deployment of cloud, analytics, AI, and computer vision technologies since the association launched its digital transformation in 2020.

Digital Transformation 52

Digital Transformation Recreation/Entertainment Machine Learning Data Lake 52

Jet Global

SEPTEMBER 29, 2021

Data-driven Finance leaders use metrics to look at what the business should do next, rather than only look back at how well they performed in the past. They use data and software with machine learning (artificial intelligence) to model and compare ‘what-if’ scenarios to grow the business. Provide Access to Quality Data.

Data-driven 52

Data-driven Finance Data Collection Metrics 52

Alation

APRIL 25, 2023

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). Using bad data, or the incorrect data can generate devastating results. The comparison makes sense because, like petroleum, data has enormous potential.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

BizAcuity

MARCH 1, 2019

This is where AI-based analysis and response play a critical role in extracting optimal value from the data. When we say AI, we really mean machine learning because ML provides the ability to detect patterns in data presented. and constantly report this data to backend. Bringing the power of AI to IoT.

IoT 56

IoT Internet of Things Big Data Data-driven 56

Alation

FEBRUARY 13, 2020

A modern data catalog includes many features and functions that all depend on the core capability of cataloging data—collecting the metadata that identifies and describes the inventory of shareable data. It is impractical to attempt cataloging as a manual effort.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

Alation

APRIL 25, 2023

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). Using bad data, or the incorrect data can generate devastating results. The comparison makes sense because, like petroleum, data has enormous potential.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Sisense

APRIL 26, 2020

In our modern digital world, proper use of data can play a huge role in a business’s success. Datasets are exploding at an ever-accelerating rate, so collecting and analyzing data to maximum effect is crucial. Understanding data structure is a key to unlocking its value.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Rocket-Powered Data Science

JULY 6, 2021

2) MLOps became the expected norm in machine learning and data science projects. MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase.

Machine Learning 279

Machine Learning Data-driven IoT Deep Learning 279

Cloudera

SEPTEMBER 4, 2020

Machine learning and AI are going to be critical for Communication Service Providers (CSPs)to succeed in the future as traditionally telcos have always been data-rich but insight poor. . Hi Vijay, thank you so much for joining us again.

IoT 93

IoT Machine Learning Optimization Insurance 93

CIO Business Intelligence

AUGUST 15, 2023

As part of the hackathon, the IT team sought to achieve three things: to aggregate the company’s data into an enterprise data platform; to build an API that would provide business access to that data; and to develop a machine learning algorithm to provide insights on top of the aggregated IoT data.

IT 98

IT Manufacturing IoT Cost-Benefit 98

Timo Elliott

JANUARY 22, 2019

Machine learning everywhere. We’ve reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s. Augmented analytics platforms based on cloud technology and machine learning are breaking down the longest-standing barriers to analytics success.

Analytics 96

Analytics Machine Learning Unstructured Data Digital Transformation 96

Jedox

NOVEMBER 17, 2022

Manual, repetitive tasks being replaced by automated processes is definitely not new, but the impact of this on the accounting field leveraged through Artificial Intelligence (AI) and Machine Learning (ML) is still relatively new. Skill #1: Automating processes for the right reasons.

Finance 77

Finance Cost-Benefit Forecasting Reporting 77

Cloudera

FEBRUARY 8, 2021

You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. To accomplish this, ECC is leveraging the Cloudera Data Platform (CDP) to predict events and to have a top-down view of the car’s manufacturing process within its factories located across the globe. . More Data Collection Resources.

Manufacturing 118

Manufacturing Data Warehouse Sales Predictive Analytics 118

CIO Business Intelligence

AUGUST 24, 2022

The opportunity was to fully digitize the data collected from tanks, automate integration of multiple data flows, and provide tools to plant personnel to analyze data, to highlight and assess risks and hazards for quick actions.”. CIO 100, Digital Transformation, Manufacturing Industry

Manufacturing 97

Manufacturing Risk Digital Transformation Data-driven 97