Smart Data Collective

OCTOBER 13, 2021

AI technology moves innovation forward by boosting tinkering and experimentation, accelerating the innovation process. Take advantage of data analytics. One of the biggest reasons AI has become so valuable is that it is so tightly integrated with data analytics. Use machine learning.

Technology 120

Technology Cost-Benefit Experimentation Machine Learning 120

Sanjeev Mohan

FEBRUARY 6, 2019

Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline? I spent the majority of my time helping clients decide which was the right Hadoop platform and which NoSQL / nonrelational data store to pick for specific use cases. The post Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline?

Data Analytics 49

Data Analytics Analytics Data Governance Experimentation 49

Corinium

JUNE 6, 2019

In summary, Insurance carriers and brokers will need to ensure a sound data foundation and a smart use of the cloud to harness the value of the large amounts of disparate types of data. Analytics is a powerful capability enabler to help Insurers transform their operations and services.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

NOVEMBER 15, 2022

Experiment with the “highly visible and highly hyped”: Gartner repeatedly pointed out that organisations that innovate during tough economic times “stay ahead of the pack”, with Mesaglio in particular calling for such experimentation to be public and visible. Artificial Intelligence, Digital Transformation, Innovation, Machine Learning

Digital Transformation 143

Digital Transformation Experimentation Risk Metrics 143

CIO Business Intelligence

FEBRUARY 21, 2024

One is knowledge of the emerging mega trends in technology — data, AI, and machine learning — and the other is understanding organizational culture needed to advance the technology goals and to inspire contributors,” he says. We’ve done a lot of experimentation on these adaptive tools that use AI,” says Ventimiglia.

Recreation/Entertainment 134

Recreation/Entertainment Experimentation Modeling Data-driven 134

Smart Data Collective

MAY 20, 2019

Machine Learning Experience is a Must. By 2020, over 40 percent of all data science tasks will be automated. Machine learning technology and its growing capability is a huge driver of that automation. It’s important to build a solid CV by working with businesses and teams that fit a specialization, so choose one.

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

Cloudera

AUGUST 20, 2020

Businesses had to literally switch operations, and enable better collaboration and access to data in an instant — while streamlining processes to accommodate a whole new way of doing things. But out of disruption, we’ve seen incredible innovation born into the enterprise. So, the business has to accept and be willing to fail at it.

Enterprise 120

Enterprise Experimentation Uncertainty Deep Learning 120

Octopai

OCTOBER 31, 2022

Data consumers are no different. They expect data analytics products to be self-serve, easy to find and deliver accurate and reliable results that can power smart business decisions. A DataOps view prescribes that the purpose of having data is to use the data. Achieving the former goal (i.e. You really do.

Experimentation 52

Experimentation Machine Learning Manufacturing Data Analytics 52

Sisense

MARCH 26, 2021

Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative. 39% of companies want to identify new revenue and business opportunities with data analytics.

Analytics 98

Analytics Data-driven Dashboards Experimentation 98

CIO Business Intelligence

MAY 10, 2023

focuses on driving mobility and tapping on the then-nascent Internet of Things, the subsequent phase prominently features technology such as artificial intelligence and machine learning and ways to extend their use across every aspect of the business. Whereas digital transformation in its earliest iteration—digital transformation 1.0—focuses

Enterprise 52

Enterprise Digital Transformation Internet of Things B2B 52

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. .

Testing 300

Testing Machine Learning Consulting Data Quality 300

CIO Business Intelligence

NOVEMBER 4, 2022

Rigid requirements to ensure the accuracy of data and veracity of scientific formulas as well as machine learning algorithms and data tools are common in modern laboratories. When Bob McCowan was promoted to CIO at Regeneron Pharmaceuticals in 2018, he had previously run the data center infrastructure for the $81.5

Data Lake 122

Data Lake IT Experimentation Data-driven 122

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 75

Machine Learning Manufacturing Cost-Benefit Deep Learning 75

CIO Business Intelligence

OCTOBER 4, 2022

As a result, IT and business leaders are working together on data-driven initiatives, buttressed through artificial intelligence (AI) and machine learning (ML), to create more value for customers, which in turn creates more value for the business. A big barrier to change is fear,” says McLemore.

Data-driven 109

Data-driven Machine Learning Interactive Predictive Analytics 109

DataRobot Blog

JANUARY 12, 2023

trillion predictions for customers around the globe, DataRobot provides both a strong machine learning platform and unique data science services that help data-driven enterprises solve critical business problems. Offering a seamless workflow, the platform integrates with the cloud and data sources in the ecosystem today.

Management 59

Management Data-driven ROI Cost-Benefit 59

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Can you tell me a bit more about your role at Protegrity?

Insurance 150

Insurance Risk IoT Cost-Benefit 150

AWS Big Data

MARCH 20, 2023

In this post, we share how Poshmark improved CX and accelerated revenue growth by using a real-time analytics solution. High-level challenge: The need for real-time analytics Previous efforts at Poshmark for improving CX through analytics were based on batch processing of analytics data and using it on a daily basis to improve CX.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

CIO Business Intelligence

JULY 7, 2023

They are expected to make smarter and faster decisions using data, analytics, and machine learning models. Here’s what the experts had to say: “Employees seek productivity with versatile and easy-to-use technologies. Caution is king, however.

Measurement 120

Measurement Risk Experimentation Enterprise 120

Sisense

JULY 1, 2021

Marketing technology tools (also referred to as MarTech tools) have multiplied from about 150 in 2011 to around 8,000 today, a 5,233% increase that sends a clear message: Marketers are embracing digital assistance and data/analytics. We know in marketing that one of the most powerful ideas is experimentation,” Scott told Sisense.

Marketing 52

Marketing Experimentation Marketing Analytics ROI 52

AWS Big Data

JUNE 20, 2023

Feature engineering is a process of identifying and transforming raw data (images, text files, videos, and so on), backfilling missing data, and adding one or more meaningful data elements to provide context so a machine learning (ML) model can learn from it. Mikhail specializes in data analytics services.

Data Lake 76

Data Lake Data Science Recreation/Entertainment Experimentation 76

AWS Big Data

OCTOBER 4, 2023

Use business terms to search, share, and access cataloged data, making data accessible to all the configured users to learn more about data they want to use with the business glossary. Automate data discovery and cataloging with machine learning (ML).

Metadata 105

Metadata Data Lake Publishing Data Governance 105

AWS Big Data

JULY 20, 2023

One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data in a cost-effective manner and run advanced analytics and machine learning (ML) at scale.

Data Lake 90

Data Lake Analytics Snapshot Optimization 90

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Ultimately, business intelligence and analytics are about much more than the technology used to gather and analyze data. What Are The Benefits of Business Intelligence?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

JULY 6, 2023

His responsibilities span the entire IT spectrum, encompassing the IT infrastructure and network, Security, SAP, Business applications, Data Analytics, and digital footprint. One of the major changes is the shift from signature-based protection to behavior-based Machine Learning dependent solutions.

Digital Transformation 98

Digital Transformation Experimentation Recreation/Entertainment Technology 98

DataRobot

APRIL 29, 2021

This list includes: Rachik Laouar is Head of Data Science for the Adecco Group. Rachik is working to transform that company’s products through data analytics and AI and will be speaking on the topic, Executive Track: Turning an Industry Upside Down. . Eric Weber is Head of Experimentation And Metrics for Yelp.

Machine Learning 59

Machine Learning Experimentation Data-driven Data Science 59

DataRobot Blog

SEPTEMBER 22, 2022

After a successful Proof of Value, French insurance giant Matmut was able to automate its manual predictive analytics process using DataRobot AI Cloud. Join Christophe Quemeneur, Assistant Director, CPAM de Loire-Atlantique on Tuesday, Sept 27th 16:10-16:35 in Conference room 2 to learn more.

Big Data 52

Big Data Insurance Experimentation Data Science 52