IBM Big Data Hub

JANUARY 15, 2024

Digital transformation trends that drive a competitive advantage Trend: Artificial intelligence and machine learning We’re entering year two of widespread adoption of generative AI tools. The Internet of Things (IoT) enables technologies to connect and communicate with each other.

Digital Transformation 78

Digital Transformation Internet of Things IoT Consulting 78

bridgei2i

FEBRUARY 21, 2020

In fact, statistics from Maryville University on Business Data Analytics predict that the US market will be valued at more than $95 billion by the end of this year. With that in mind, here are the latest growth drivers, trends, and developments that will likely shape the world of business data analytics in 2020: 1.

IoT 83

IoT Analytics Deep Learning B2B 83

CIO Business Intelligence

DECEMBER 6, 2023

Laying the data foundation The four pillars of DS Smith’s digital plan revolved around the management and optimization of data generated by industrial machines, energy providers, its supply chain, and customer experience. 2, machine learning/AI (31%), the packaging company has three use cases in proof of concept.

Manufacturing 97

Manufacturing Data Lake Digital Transformation Machine Learning 97

CIO Business Intelligence

DECEMBER 1, 2022

The company is also refining its data analytics operations, and it is deploying advanced manufacturing using IoT devices, as well as AI-enhanced robotics. One HR employee took some courses in data analytics and found a new job within the company helping to advance digital transformation. “I

Digital Transformation 144

Digital Transformation IoT Data-driven KPI 144

Smart Data Collective

OCTOBER 16, 2023

Big data generation is significant for enterprises transitioning from analog to digital workflows. Communication Communication is the data that you generate as a person. Social media, blogging, and microblogging are all essential communication data sources. IoT Sensors generate IoT data.

Big Data 100

Big Data IoT Cost-Benefit Advertising 100

Cloudera

SEPTEMBER 22, 2022

In this post, I’ll explore opportunities to enhance risk assessment and underwriting, especially in personal lines and small and medium-sized enterprises. To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter.

Analytics 95

Analytics Insurance IoT Risk 95

Corinium

JUNE 6, 2019

Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. For instance, for a variety of reasons, in the short term, CDAOS are challenged with quantifying the benefits of analytics’ investments. How can advanced analytics be used to improve the accuracy of forecasting?

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

IBM Big Data Hub

JUNE 20, 2023

Assets are the lifeblood of any successful business—from software programs tailored to meet an enterprise’s unique needs to a pipeline that stretches across oceans. One of the most important strategic decisions a business leader can make is how these assets are cared for over the course of their lifespans.

Strategy 78

Strategy Management Cost-Benefit IoT 78

CIO Business Intelligence

MAY 16, 2022

The concept of the edge is not new, but its role in driving data-first business is just now emerging. The advent of distributed workforces, smart devices, and internet-of-things (IoT) applications is creating a deluge of data generated and consumed outside of traditional centralized data warehouses. over last year.

IoT 98

IoT Data Warehouse Internet of Things Machine Learning 98

Smart Data Collective

JULY 19, 2019

The telecommunications industry could benefit from big data more than almost any other business. However, it has been slow to invest in machine learning and other big data tools, until recently. A 2017 analysis by MapR showed that telecommunications industries can benefit from big data more than almost any other company.

Big Data 79

Big Data Internet of Things IoT B2B 79

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. Vetri has 15 years of experience implementing enterprise business intelligence (BI) solutions and greenfield data products.

Forecasting 74

Forecasting Management IoT Data-driven 74

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. DATA FOR ENTERPRISE AI.

Digital Transformation 65

Digital Transformation Machine Learning Optimization Data Lake 65

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

Sisense

MARCH 14, 2021

However, when investigating big data from the perspective of computer science research, we happily discover much clearer use of this cluster of confusing concepts. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

CIO Business Intelligence

OCTOBER 13, 2022

As businesses move forward on their modernization journey, it’s important to factor green IT considerations into the roadmap given the impact choices can have on overall enterprise sustainability goals. “As In fact, self-owned data centers and IT equipment are a major source of energy usage and carbon emissions for enterprises.

IT 59

IT Cost-Benefit Internet of Things IoT 59

Cloudera

JANUARY 19, 2018

Machine Learning in the Age of Big Data. Sean Anderson provides a tutorial on machine learning. From its origins in the 1950’s to today, the age of big data. Sean ascertains that larger data sets and increased access to compute power is propelling the adoption of machine learning.

Machine Learning 45

Machine Learning IoT Big Data Insurance 45

Cloudera

FEBRUARY 12, 2019

Mobile data traffic is predicted to grow at a 40 to 50 percent rate annually, and Internet of Things (IoT) connections from 25 to 30 percent. As technology adoption increases, more service providers require 5G to support the surge of incoming data. But a high data rate and reduced latency is exactly what 5G was built for.

IoT 40

IoT Internet of Things Digital Transformation Machine Learning 40

Cloudera

AUGUST 27, 2020

With customer-centricity in mind, Manulife set out to find ways of gathering scattered and locked up customer data and bringing it together to provide real-time data insights to the business users. They wanted a holistic view of their customers, in order to provide better services.

Internet of Things 96

Internet of Things Data Lake Uncertainty IoT 96

CIO Business Intelligence

AUGUST 9, 2023

Digital transformation became a key strategic initiative in the mid-2010s, as mobile communications, cloud, data analytics, and other advanced information technologies took off, enabling businesses and consumers to easily engage via digital channels. Deere & Co., They’re investing in automation and hyperautomation technologies.

Digital Transformation 137

Digital Transformation Strategy Data-driven Consulting 137

Cloudera

AUGUST 28, 2018

From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. Enterprise Machine Learning. BUSINESS IMPACT.

Digital Transformation 63

Digital Transformation Consulting Machine Learning IoT 63

CIO Business Intelligence

JULY 12, 2023

AI improves diaper manufacturing “All areas of P&G’s business are being impacted by emerging technologies like automation, AI, and machine learning,” says Vittorio Cretella, CIO of Procter & Gamble. They also deliver digital twins for customers to design products with less effort and material.

Manufacturing 98

Manufacturing Cost-Benefit Data Lake Optimization 98

Sisense

JUNE 12, 2019

In addition, providing a world-class analytics platform requires a deep understanding of how to best leverage AI/ML to support the needs of all users from the novice to the most technical. Everyone is adding “Data” to their title. From Data to Data-Powered Apps. Our investment in AI is paying off in spades.

Analytics 75

Analytics Data-driven Dashboards IoT 75

Sisense

JUNE 25, 2020

It’s no coincidence that this recent growth has come alongside a huge investment in data analytics. This team is committed to understanding the huge amount of data produced by the company on a daily basis. Becoming data-driven has always been about more than just convenience, and ‘how do we sell more product?’

Big Data 98

Big Data Data-driven IoT Marketing 98

Cloudera

JANUARY 14, 2021

They are armed with more knowledge than ever before, as a result, four strategic pillars have emerged that have resulted as leading retailers and brands have deployed a data-centric strategy enabling a customer-first approach. Reinventing Brick and Mortar is Delivering Fresh Customer Experiences.

Cost-Benefit 68

Cost-Benefit Digital Transformation Sales IoT 68

Hurwitz & Associates

APRIL 19, 2018

Focus on the enterprise. It is clear that the large enterprise is the target for Atos’s go to market. The four pillars of the strategy include hybrid cloud and cloud workload orchestration, business accelerators for real time business requirements based on SAP Hana consulting services, data analytics and IoT, and the digital workplace.

IT 40

IT Consulting IoT Strategy 40

Smart Data Collective

SEPTEMBER 26, 2019

Below, we have laid down 5 different ways that software development can leverage Big Data. With the data analytics software, development teams are able to organize, harness and use data to streamline their entire development process and even discover new opportunities. Improving Efficiency.

Big Data 79

Big Data Software Unstructured Data Data Integration 79

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process.

Testing 307

Testing Machine Learning Consulting Data Quality 307

Cloudera

OCTOBER 5, 2023

If your organization lacks such skills, here’s what to do: employ technology that enables your data analysts to attack data science problems without necessitating a degree in statistics. That means an easy to use machine learning interface and open source, license-free machine learning algorithms.

Data-driven 79

Data-driven Enterprise Data Governance Unstructured Data 79

AWS Big Data

FEBRUARY 6, 2023

Use case overview Migrating Hadoop workloads to Amazon EMR accelerates big data analytics modernization, increases productivity, and reduces operational cost. Refactoring coupled compute and storage to a decoupling architecture is a modern data solution. Jiseong Kim is a Senior Data Architect at AWS ProServe.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

DataKitchen

JULY 27, 2023

Let’s go through the ten Azure data pipeline tools Azure Data Factory : This cloud-based data integration service allows you to create data-driven workflows for orchestrating and automating data movement and transformation. You can use it for big data analytics and machine learning workloads.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

Cloudera

SEPTEMBER 11, 2020

The ongoing disruption to critical supply chains in both the manufacturing and retail space has seen businesses having to respond quickly, turning to data, analytics, and new technologies to better predict and manage ‘real-time’ business disruptions. . What they have learned is that often their legacy Machine Learning models (e.g.

Manufacturing 86

Manufacturing Forecasting Digital Transformation Sales 86

CIO Business Intelligence

JUNE 29, 2022

And as businesses contend with increasingly large amounts of data, the cloud is fast becoming the logical place where analytics work gets done. For many enterprises, Microsoft Azure has become a central hub for analytics. The reason Azure has so many analytics services is so you can build your entire stack there.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

Cloudera

APRIL 13, 2021

That’s because CDP has made it possible for them to modernize their legacy data platforms and extend machine learning (ML) and real-time analytics to public cloud, all while gaining cross-functional collaboration across the enterprise. . Use case #3: A global logistics company gains a 10x capacity increase.

Enterprise 73

Enterprise Cost-Benefit Data Warehouse Data Architecture 73

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. Tasks which include billing, scheduling, operating machines like forklifts and workforce management can be enabled with an AI-driven warehouse management system, fleet management system or freight management system.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Cloudera

OCTOBER 29, 2020

With the massive explosion of data across the enterprise — both structured and unstructured from existing sources and new innovations such as streaming and IoT — businesses have needed to find creative ways of managing their increasingly complex data lifecycle to speed time to insight.

Visualization 105

Visualization Machine Learning Dashboards Data Warehouse 105

CIO Business Intelligence

MAY 24, 2022

Organisations have to contend with legacy data and increasing volumes of data spread across multiple silos. To meet these demands many IT teams find themselves being systems integrators, having to find ways to access and manipulate large volumes of data for multiple business functions and use cases. zettabytes of data.

Data-driven 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98

CIO Business Intelligence

AUGUST 16, 2022

Elaborating on some points from my previous post on building innovation ecosystems, here’s a look at how digital twins , which serve as a bridge between the physical and digital domains, rely on historical and real-time data, as well as machine learning models, to provide a virtual representation of physical objects, processes, and systems.

Visualization 145

Visualization Cost-Benefit IoT Digital Transformation 145