datapine

MAY 2, 2023

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. The big data market is expected to exceed $68 billion in value by 2025 , a testament to its growing value and necessity across industries.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

Smart Data Collective

OCTOBER 5, 2021

Analytics technology has been invaluable to modern marketing. The market for web analytics is projected to be worth $9.11 billion by 2025. The utilization of analytics and big data in the marketing industry has played a massive role in this robust growth. Data analytics is going to be very important for this stage.

Analytics 119

Analytics Marketing ROI Testing 119

Smart Data Collective

JANUARY 3, 2022

A growing number of web developers are using data analytics, AI and other big data tools to make the most out of their strategy. In fact, e-commerce and SaaS platforms are part of the reason that the market for AI is projected to be worth $126 billion by 2025. AI technology can help with automated testing.

Testing 122

Testing Data-driven Interactive Technology 122

Smart Data Collective

MARCH 8, 2021

According to a forecast by IDC and Seagate Technology, the global data sphere will grow more than fivefold in the next seven years. The total amount of new data will increase to 175 zettabytes by 2025 , up from 33 zettabytes in 2018. This ever-growing volume of information has given rise to the concept of big data.

Big Data 142

Big Data Management Predictive Analytics Statistics 142

CIO Business Intelligence

JUNE 13, 2022

According to IDC , worldwide spending on AI will likely top $204 billion by 2025. The very best conversational AI systems come close to passing the Turing test , that is, they are very difficult to distinguish from a human being. . Data integration can also be challenging and should be planned for early in the project. .

Deep Learning 104

Deep Learning Data Processing Insurance Cost-Benefit 104

Smart Data Collective

MARCH 30, 2022

Analytics technology is taking the ecommerce industry by storm. Ecommerce companies are expected to spend over $24 billion on analytics in 2025. While there is no debating the huge benefits that analytics technology brings to the ecommerce sector , many experts are pondering what those actual benefits are.

Analytics 116

Analytics Cost-Benefit Testing Dashboards 116

Cloudera

AUGUST 28, 2020

5G and IoT are going to drive an explosion in data. In terms of the IoT, there will be 25 billion connected things and devices by 2025 ( Source: GSMA ), and these devices will be potentially streaming data every second of the day. . How does it compare to one in another location?

IoT 114

IoT Machine Learning B2B Testing 114

Smart Data Collective

JANUARY 6, 2021

Big data is central to financial management. The market for financial data analytics is expected to reach $10 billion by 2025. One of the biggest uses of big data in finance relates to accounts receivable management. More recently, we have seen even more impressive data on its effectiveness.

Data-driven 96

Data-driven Management Big Data Predictive Analytics 96

CIO Business Intelligence

APRIL 4, 2022

trillion by 2025. Find out more and take a test drive in one of Dell Technologies’ worldwide Customer Solution Centers. Intel® Technologies Move Analytics Forward. Data analytics is the key to unlocking the most value you can extract from data across your organization. Just starting out with analytics?

Technology 52

Technology Deep Learning Cost-Benefit Data Quality 52

Smart Data Collective

DECEMBER 17, 2020

Big data is disrupting the healthcare sector in incredible ways. The market for data solutions in healthcare is expected to be worth $67.8 billion by 2025 , which is a remarkable 303% increase from 2017. There are a lot of different applications for big data in the healthcare sector.

Data-driven 117

Data-driven Big Data Software Risk 117

Cloudera

SEPTEMBER 18, 2020

In Part Two they will look at how businesses in both sectors can move to stabilize their respective supply chains and use real-time streaming data, analytics, and machine learning to increase operational efficiency and better manage disruption. The 6 key takeaways from this blog are below: 6 key takeaways.

Manufacturing 89

Manufacturing Forecasting IoT Machine Learning 89

Smart Data Collective

FEBRUARY 17, 2021

Big data has had a tremendous affect on the healthcare sector. In 2017, the global market for healthcare analytics was valued at $16.9 By the year 2025, that figure is projected to grow to $67.82 While there are a number of benefits of using data analytics in healthcare, there are also going to be some challenges.

Big Data 76

Big Data Software Marketing Snapshot 76

Sisense

JANUARY 13, 2020

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. The world of data in modern manufacturing. Manufacturing companies that adopted computerization years ago are already taking the next step as they transform into smart data-driven organizations.

Manufacturing 52

Manufacturing Data Lake Data Warehouse Big Data 52

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. By 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance. Uncertain economic conditions. Source: Gartner Research).

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Cloudera

APRIL 18, 2024

DORA is a regulation by the European Commission, made effective in January of 2023, with compliance required by January 2025. What is DORA?

Risk Management 81

Risk Management Risk Testing Management 81

CIO Business Intelligence

JULY 5, 2023

The Act also states its aims, “to establish uniform accessibility standards for websites and applications of employers, employment agencies, labor organizations, joint labor-management committees, public entities, public accommodations, testing entities, commercial providers, and for other purposes.”

Cost-Benefit 98

Cost-Benefit Recreation/Entertainment Marketing Digital Transformation 98

BizAcuity

MAY 10, 2022

AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models. billion by 2025. Data management solutions will need to keep up with the data demands of the next few years. Businesses find the need to manage unstructured data efficiently as a major business problem. To be continued.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

IBM Big Data Hub

FEBRUARY 6, 2024

Cloud-based applications and services Cloud-based applications and services support myriad business use cases—from backup and disaster recovery to big data analytics to software development. Utilize public cloud resources for short-term projects like development and testing. Google Workspace, Salesforce).

Cost-Benefit 98

Cost-Benefit Digital Transformation Software Internet of Things 98

IBM Big Data Hub

NOVEMBER 16, 2023

Our initial curriculum offerings will include three courses: Sustainability and Technology Fundamentals, Data Analytics for Sustainability and Enterprise Thinking for Sustainability. The courses also provide instruction in data analytics contextualized around sustainability use cases.

Forecasting 74

Forecasting Data-driven Technology Consulting 74

Andrew White

JANUARY 11, 2021

Note: Delivery of data, analytics solutions and the sustainment of technology, data and services is a question. See Roadmap for Data Literacy and Data-Driven Business Transformation: A Gartner Trend Insight Report and also The Future of Data and Analytics: Reengineering the Decision, 2025.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Andrew White

MARCH 31, 2023

I wonder of much of this money went to data, analytics and AI? The two I visited demoed a rather mundane explanation of the standard analytics pipeline. You know the one – it goes something like data discovery, data collection, data clean up, modeling, testing, output, tune etc.

Analytics 40

Analytics Marketing Visualization Data-driven 40