CIO Business Intelligence

OCTOBER 13, 2023

In the next six to 12 months, some of the most popular anticipated uses for gen AI include content creation (42%), data analytics (53%), software development (41%), business insight (51%), internal customer support (45%), product development (40%), security (42%), and process automation (51%).

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Domino Data Lab

AUGUST 6, 2021

This includes: Model lineage, from data acquisition to model building Model versions in production, as they are updated based on new data Model health in production with model monitoring principles Model usage and basic functionality in production Model costs. First is the data the model is using.

Machine Learning 145

Machine Learning Modeling Testing Risk 145

IBM Big Data Hub

AUGUST 11, 2023

The advancement of computing power over recent decades has led to an explosion of digital data, from traffic cameras monitoring commuter habits to smart refrigerators revealing how and when the average family eats. Both computer scientists and business leaders have taken note of the potential of the data.

Data Science 59

Data Science Machine Learning Cost-Benefit Deep Learning 59

Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

datapine

MARCH 31, 2022

Does data excite, inspire, or even amaze you? Do you find computer science and its applications within the business world more than interesting? This all-encompassing branch of online data analysis is a particularly interesting field because its roots are firmly planted in two separate areas: business strategy and computer science.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Domino Data Lab

JULY 19, 2021

One of the primary challenges of any ML/AI project is transitioning it from the hands of data scientists in the develop phase of the data science lifecycle into the hands of engineers in the deploy phase. Where in the life cycle does data scientists’ involvement end? Data engineers assist by providing clean data.

Enterprise 85

Enterprise Data Science Testing Modeling 85

IBM Big Data Hub

FEBRUARY 2, 2024

Through the GRAMMYs®, the Recording Academy® seeks to recognize excellence in the recording arts and sciences and ensure that music remains an indelible part of our culture. But until now, content production had been highly manual and laborious. component. The solution: AI Stories with IBM watsonx.

Recreation/Entertainment 60

Recreation/Entertainment Broadcasting Consulting Dashboards 60

DataRobot Blog

MARCH 16, 2023

Over the last 12 years, I’ve been fortunate to explore what’s possible with AI through innovation, starting with graduate school at Cornell University, to building a company based on Eureqa algorithms, and leading a team of innovators at DataRobot. For example, generating code to prepare data as well as train and deploy a model.

Data Science 98

Data Science Technology Data-driven Modeling 98

Dataiku

AUGUST 14, 2020

For those who do not know Dataiku DSS, it is a collaborative data science software platform for teams of data scientists, data analysts, and engineers to explore, prototype, build, and deliver data products more efficiently.

Data Science 87

Data Science Software IT 87

IBM Big Data Hub

APRIL 18, 2023

At this year’s National Association of Broadcasters (NAB) convention, the IBM sports and entertainment team accepted an Emmy® Award for its advancements in curating sports highlights through artificial intelligence (AI) and machine learning (ML). It requires forethought, planning and collaboration. How did this come about?

Recreation/Entertainment 77

Recreation/Entertainment Broadcasting Unstructured Data Consulting 77

CIO Business Intelligence

APRIL 25, 2022

After launching industry-specific data lakehouses for the retail, financial services and healthcare sectors over the past three months, Databricks is releasing a solution targeting the media and the entertainment (M&E) sector. Recommendations also include suggestions for product development choices.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

Ontotext

FEBRUARY 1, 2024

For example, the method for managing multilingual taxonomies became massively simpler (once concept could now hold multiple language labels), resulting in huge cost savings compared with the previous data model. The widespread adoption of RDF as a semantic data model transformed simple taxonomies into extensible and expressive ontologies.

Enterprise 59

Enterprise Management Metadata Modeling 59

Cloudera

OCTOBER 27, 2021

Krishna is a Software Engineer working on our Compute Platform and operates out of Bangalore, India. His primary responsibility is to develop, test and maintain software applications that provide compute services to various Cloudera products. Technology and design are his major interest areas. Enjoying Cloudera’s unique culture.

Software 91

Software Testing Interactive Technology 91

CIO Business Intelligence

JUNE 2, 2022

HPC5’s performance level enables sophisticated in-house algorithms to process subsoil data, as well as geophysical and seismic information from around the world. Eni engineers perform theoretical modeling of photoactive molecules and polymers used for capturing the sun’s energy in solar panels and luminescent solar concentrators.

Informatics 97

Informatics Modeling Testing Technology 97

IBM Big Data Hub

APRIL 18, 2024

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. How can organizations prepare for AGI? Regardless, these are examples of narrow AI.

Cost-Benefit 96

Cost-Benefit Modeling Manufacturing Interactive 96

Cloudera

OCTOBER 5, 2020

Cloudera Data Platform Powered by NVIDIA RAPIDS Software Aims to Dramatically Increase Performance of the Data Lifecycle Across Public and Private Clouds. This exciting initiative is built on our shared vision to make data-driven decision-making a reality for every business.

Enterprise 93

Enterprise Machine Learning Deep Learning Software 93

DataRobot Blog

JULY 13, 2022

This marks a full decade since some of the brightest minds in data science formed DataRobot with a singular vision: to unlock the potential of AI and machine learning for all—for every business, every organization, every industry—everywhere in the world. How to Thrive in the Age of Data Dominance. 10 Keys to AI Success.

Machine Learning 105

Machine Learning Marketing Data Science Reporting 105

Alation

SEPTEMBER 28, 2022

The term has been used a lot more of late, especially in the data analytics industry, as we’ve seen it expand over the past few years to keep pace with new regulations, like the GDPR and CCPA. In essence, DataOps is a practice that helps organizations manage and govern data more effectively. Encourage Team Collaboration.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

Cloudera

JANUARY 30, 2019

It’s official – Cloudera and Hortonworks have merged , and today I’m excited to announce the availability of Cloudera Data Science Workbench (CDSW) for Hortonworks Data Platform (HDP). Trusted by large data science teams across hundreds of enterprises —. Sound familiar? What is CDSW?

Data Science 76

Data Science Machine Learning Experimentation Cost-Benefit 76

Cloudera

NOVEMBER 16, 2022

Overall, it struck me that while data science is not new, most firms are still defining the mission of the data office and data officer. It’s clear firms seek to leverage data and embrace its potential insights, but most are forging ahead in largely uncharted territory.

Insurance 82

Insurance Cost-Benefit Metrics Measurement 82

Juice Analytics

MARCH 11, 2021

At Juice, we’ve helped our clients launch dozens of data products that generate new revenue streams, differentiate their solutions in the market and build stronger customer relationships. In this series I’ll take you through what you need to know to design, build, launch, sell and support a data product.

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

Domino Data Lab

AUGUST 6, 2021

Data science is an incredibly complex field. Framing data science projects within the four steps of the data science lifecycle (DSLC) makes it much easier to manage limited resources and control timelines, while ensuring projects meet or exceed the business requirements they were designed for.

Data Science 75

Data Science Testing Modeling Publishing 75

DataRobot Blog

MAY 5, 2022

To date, however, enterprises’ vast troves of unstructured data – photo, video, text, and more – have remained mostly untapped. At DataRobot, we are acutely aware of the ability of diverse data to create vast improvements to our customers’ business. VP of Engineering at DataRobot. Jared Bowns.

Unstructured Data 52

Unstructured Data Modeling Enterprise Machine Learning 52

Alation

AUGUST 30, 2022

With the launch of our latest product release, 2022.3, we are introducing Alation Anywhere, extending data intelligence directly to the tools in your modern data stack, starting with Tableau. We had data but no data intelligence and, as a result, insights remained hidden or hard to come by. Then Alation came along.

Metadata 52

Metadata Data Quality Data Governance Machine Learning 52

Domino Data Lab

AUGUST 6, 2021

An enterprise starts by using a framework to formalize its processes and procedures, which gets increasingly difficult as data science programs grow. The complexity of models, and general limitations of expertise with data science among business leaders, creates an environment ripe for risk. Types of Model Risk.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

Sisense

JANUARY 15, 2020

In our Event Spotlight series, we cover the industry events of all kinds to help builders learn about the latest tech, trends, and people innovating in the data and analytics space. Sisense Hackathon 2020 continues our annual tradition of pushing the envelope for innovation, creativity, and collaboration, company-wide.

Big Data 89

Big Data Testing Visualization Data Science 89

Sisense

MAY 28, 2020

In the Clouds is where we explore the ways cloud-native architecture, cloud data storage, and cloud analytics are changing key industries and business practices, with anecdotes from experts, how-to’s, and more to help your company excel in the cloud era. The world of data is constantly changing and speeding up every day.

Internet of Things 83

Internet of Things Metadata Data-driven Unstructured Data 83

Alation

FEBRUARY 20, 2020

In organizations where more and more people are using data, the nuances of business semantics must become more widely distributed knowledge. Today, we’re excited to announce that Salesforce is bringing the collaborative power of data cataloging to its users with the integration of Einstein Analytics and the Alation Data Catalog.

Metadata 52

Metadata Analytics Dashboards Sales 52

datapine

JANUARY 6, 2022

1) What Is Data Interpretation? 2) How To Interpret Data? 3) Why Data Interpretation Is Important? 4) Data Analysis & Interpretation Problems. 5) Data Interpretation Techniques & Methods. 6) The Use of Dashboards For Data Interpretation. Business dashboards are the digital age tools for big data.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Domino Data Lab

JULY 28, 2021

Data science is a field at the convergence of statistics, computer science and business. Its value is so significant that scaling data science has become the new business imperative with organizations spending tens of millions of dollars on data, technology and talent. What are Data Scientists?

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

Cloudera

NOVEMBER 16, 2017

Cloudera Data Science Workbench (CDSW) is a self-service collaboration platform for data scientists. It offers: Secure access to Cloudera data. For more detail on user monitoring, read this article on the Cloudera Engineering Blog. for the Oracle Big Data Appliance.) On-demand compute.

Data Science 40

Data Science Deep Learning Big Data Software 40

AWS Big Data

MAY 4, 2023

Welcome to the era of data. The sheer volume of data captured daily continues to grow, calling for platforms and solutions to evolve. The Amazon Sustainability Data Initiative (ASDI) uses the capabilities of Amazon S3 to provide a no-cost solution for you to store and share climate science workloads across the globe.

Data Processing 90

Data Processing Metadata Informatics Interactive 90

Sisense

JULY 22, 2020

Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. Ashley Kramer is our new chief product and marketing officer. ” It’s a really good partnership that we have together.

Prescriptive Analytics 52

Prescriptive Analytics Dashboards Statistics Data-driven 52

Cloudera

SEPTEMBER 13, 2018

It’s a bit surprising to note, then, that perhaps the most limiting factor in data science and machine learning today is people. Feature engineering, or the process of transforming raw data into a chosen representation of the underlying problem to be solved, is the data science process most ripe for automation.

Machine Learning 40

Machine Learning Enterprise Data Science Risk 40

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. This blog post provides a concise session summary, a video, and a written transcript. data science’s emergence as an interdisciplinary field – from industry, not academia. Session Summary. Key highlights from the session include.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Ontotext

SEPTEMBER 30, 2021

Large enterprises have identified knowledge graphs as a solid foundation for making data FAIR and unlocking the value of their data assets. Data fabrics built on FAIR data drive digital transformation initiatives that put companies ahead of the competition. GraphDB & metaphactory Working Hand in Hand.

Interactive 52

Interactive Data-driven Visualization Modeling 52

Sisense

MARCH 18, 2020

In Big Questions , we outline the biggest concerns facing development teams and look at how companies are grappling with them. It’s the backbone of how our global workforce collaborates, it underpins much of our industrial operations, and even ensures the smooth-running of our cities. Unfortunately, these failures are all too common.

Software 52

Software Machine Learning Internet of Things Risk 52