datapine

MARCH 20, 2019

Action without vision just passes the time. A report from McKinsey suggests that leveraging data to create more proficient marketing reports and to make more informed decisions can boost marketing productivity by 15 to 20%, which translates to as much as $200 billion based on the average annual global marketing spend of $1 trillion per year.

Reporting 248

Reporting Finance Snapshot Dashboards 248

DataRobot Blog

MARCH 10, 2022

As a result of these technological advancements, the manufacturing industry has set its sights on artificial intelligence and automation to enhance services through efficiency gains and lowering operational expenses. This vision is being realized through use cases including: Real-Time Predictive Maintenance?—?

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

CIO Business Intelligence

APRIL 14, 2022

Enter data-as-a-service providers: Entities that offer data on tap for a fee for your enterprise to use. Anyone with an enterprise that craves data and needs it to be trustworthy, loyal, helpful or any of the many useful roles. Sometimes the data on offer by DaaS vendors comes from their innerworkings or their own business operations.

Enterprise 138

Enterprise Marketing Measurement Reporting 138

bridgei2i

NOVEMBER 3, 2021

Driving AI Adoption in the Manufacturing Industry. Tune in to listen to Ronobijay Bhaumik and Aditya Karnani as they engage in a conversation about how empowering workers with decision-making skills can lead to accelerated adoption of AI in the manufacturing industry. [3:40] Can you give us some examples of such initiatives? [10:27]

Manufacturing 52

Manufacturing Enterprise ROI Digital Transformation 52

Ontotext

NOVEMBER 25, 2021

In our previous blog post of the series, we covered how to ingest data from different sources into GraphDB , validate it and infer new knowledge from the extant facts. The trouble is that there are many drone manufacturers on the building inspection market and all have different formats and APIs. There are two ways to handle this.

Visualization 98

Visualization Interactive Data-driven Enterprise 98

Timo Elliott

JANUARY 10, 2022

The topics covered a wide variety of different industries, with lots of great, concrete examples of how SAP’s customers and partners are using technology to innovate. I’ve been talking about them for a long time. to discuss some of the highlights and common themes in last year’s episodes.

Data Processing 121

Data Processing Manufacturing Machine Learning Technology 121

DataKitchen

MAY 10, 2021

Data errors impact decision-making. When analytics and dashboards are inaccurate, business leaders may not be able to solve problems and pursue opportunities. Data errors infringe on work-life balance. They cause people to work long hours at the expense of personal and family time. Data errors also affect careers.

Testing 214

Testing Manufacturing Data Quality Statistics 214

bridgei2i

OCTOBER 20, 2021

A Practitioner’s View on AI-Led Transformation in Manufacturing. In this podcast, the guest Adita Karnani shares some thought-provoking insights on AI-led automation in manufacturing plants and how digitalization coupled with the pandemic has led to innovations and processes within many industrial plants. Subscribe Now. Highlights.

Manufacturing 98

Manufacturing Enterprise IoT Technology 98

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

JUNE 14, 2023

A single EB holds 1,024 PB – enough to hold the entire Library of Congress 3,000 times over, according to Lifewire. Going from 250 PB to even a single exabyte means multiplying storage capabilities four times. Big data exploded onto the scene in the mid-2000s and has continued to grow ever since. Much larger. Let’s take it to space.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

bridgei2i

JANUARY 25, 2022

PODCAST: Making AI Real. Listening time: 17 minutes. Right from helping scale models from sandbox to production, enabling better collaboration between teams, and forming the foundation for solving business challenges, MLOps is being used extensively at BRIDGEi2i. How MLOps is Shaping AI in the Real World. Subscribe Now.

Machine Learning 52

Machine Learning Modeling Data Processing Enterprise 52

Domino Data Lab

MARCH 3, 2019

Welcome back to our monthly series about data science! We had big surprises at several turns and have subsequently published a series of reports. When life gives you lemons, make limoncello.” Evolving Data Infrastructure: Tools and Best Practices for Advanced Analytics and AI (Jan 2019). Introduction.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

bridgei2i

MARCH 3, 2021

PODCAST: Making AI Real. Listening time: 12 minutes. The experts also remark upon the rise in the demand for tech platforms that can scale seamlessly to handle volumes of data and generate actionable insights in no-time across industries. Episode 4: Unlocking the Value of Enterprise AI with Data Engineering Capabilities.

Enterprise 98

Enterprise Digital Transformation Data-driven Interactive 98

Jet Global

JUNE 15, 2021

Unfortunately, at the time that so many tech startups were springing up in the early 2000s, accounting practices related to the expensing of equity-based compensation were not well standardized. Many emerging companies, in their zeal to appear as profitable as possible, chose not to recognize such expenses at the time they were incurred.

Reporting 52

Reporting Recreation/Entertainment Finance Cost-Benefit 52