DataRobot

FEBRUARY 17, 2021

Army, where she reports to the Undersecretary of the Army on mission-critical data analytics. She uses data and analytics to clean up those messes, whether it’s creating a dashboard that displays patient flows through the military hospital or finding ways to implement predictive maintenance.

Data Analytics 52

Data Analytics Analytics Experimentation Data-driven 52

Sisense

MARCH 26, 2021

Newly published research shows that companies aren’t getting the most out of their analytics. 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.

Analytics 98

Analytics Data-driven Dashboards Experimentation 98

bridgei2i

APRIL 28, 2020

Episode 2: How Data & Analytics Can Help in a Downturn. How Data & Analytics Can Help in a Downturn. In this episode, best-selling author and expert on Infonomics, Doug Laney delves into how enterprises can navigate their way out of the crisis by leveraging data. Listening time: 13 minutes.

Enterprise 103

Enterprise Data Analytics Analytics Forecasting 103

CIO Business Intelligence

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Not finding what you’re looking for?

Data Science 125

Data Science Machine Learning Predictive Modeling Experimentation 125

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

DataKitchen

DECEMBER 1, 2022

And finally, it’s about assisting organizations in creating a culture of experimentation where failure is okay because you know you’ll have the proper data infrastructure, processes, and policies to quickly identify and mitigate any issues.

Experimentation 130

Experimentation Data-driven Risk Optimization 130

Sisense

JULY 24, 2019

In my previous blog , I wrote about Natural Language Query (NLQ, or search analytics for some), as one of the major topics that we, the AI group in Sisense, are working on. NLQ is one of the oldest AI disciplines, but we’ve only recently started hearing about it in conjunction with BI and analytics.

Analytics 89

Analytics Experimentation Metadata Big Data 89

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

DataKitchen

APRIL 13, 2021

Testing and Data Observability. Process Analytics. 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. . Reflow — A system for incremental data processing in the cloud.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Smart Data Collective

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. Big data alone has become a modern staple of nearly every industry from retail to manufacturing, and for good reason.

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

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. Leverage innovation.

Technology 120

Technology Cost-Benefit Experimentation Machine Learning 120

Smart Data Collective

JUNE 29, 2022

You can get even more value from email marketing if you leverage data strategically. Here are 10 essential strategies for email marketing success with data analytics. You will need to test different CTAs, which is going to require data analytics tools. Email marketing is all about experimentation.

B2B 105

B2B Data-driven Marketing Strategy 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. To overcome these issues, Orca decided to build a data lake.

Data Lake 88

Data Lake Analytics Snapshot Optimization 88

CIO Business Intelligence

MAY 14, 2024

Azure Databricks is also employed for data analytics as part of the solution. And then what’s really cool is adding on this more experimental aspect with the machine learning capability.” King County’s NLP model was based on BERT, an advanced large language model (LLM).

Deep Learning 79

Deep Learning Machine Learning Reporting Experimentation 79

CIO Business Intelligence

FEBRUARY 26, 2024

Empower employees to gain skills in data science, data analytics, ML, and project management. Embedding innovation into an organization often requires a change in mindset — one where experimentation is rewarded, and failed projects are seen as an important part of the learning process.

Experimentation 117

Experimentation Cost-Benefit Digital Transformation Risk 117

Octopai

MAY 2, 2022

Data analytics ain’t what it used to be. As a data analyst, you’re no longer just providing data analytics services. You’re providing data analytics products. . Today, your business users have the same perspective on data analytics. What are the principles and benefits of DataOps?

Manufacturing 87

Manufacturing Testing Experimentation Data Quality 87

Occam's Razor

DECEMBER 12, 2016

There is, almost literally, an unlimited number of things you could focus on to create a high impact data-influenced organization. And, as if unlimited is not enough, nearly every month your analytics vendors release new features, you discover new analytics solutions, and as your business is more successful (hurray!)

Analytics 141

Analytics Data-driven Strategy Consulting 141

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.

Digital Transformation 139

Digital Transformation Experimentation Risk Metrics 139

DataKitchen

OCTOBER 5, 2021

A DataOps Engineer owns the assembly line that’s used to build a data and analytic product. That’s the state of data analytics today. . Figure 2: Data operations can be conceptualized as a series of automated factory assembly lines. Where are the data engineers, scientists and analytics?

Testing 152

Testing Dashboards Measurement Experimentation 152

O'Reilly on Data

MARCH 31, 2020

Because it’s so different from traditional software development, where the risks are more or less well-known and predictable, AI rewards people and companies that are willing to take intelligent risks, and that have (or can develop) an experimental culture. These companies eventually moved beyond using data to inform product design decisions.

Management 333

Management Machine Learning Experimentation Metrics 333

CIO Business Intelligence

FEBRUARY 21, 2024

But we also have teams responsible for data analytics, and teams of audio-visual experts to ensure our concert halls and event centers can support a range of activities. We’ve done a lot of experimentation on these adaptive tools that use AI,” says Ventimiglia. Almost everything a university does has to be supported by IT. “We

Recreation/Entertainment 127

Recreation/Entertainment Experimentation Modeling Data-driven 127

CIO Business Intelligence

APRIL 2, 2024

Over the past decade, CIOs have invested significantly in digital transformation initiatives in an effort to improve customer experiences, build data analytics capabilities, and deliver productivity enhancements with automation. It’s like trying to get a jazz quartet, a rock band, a classical orchestra, and a DJ to play in harmony.”

Management 120

Management Digital Transformation Testing Experimentation 120

Cloudera

AUGUST 20, 2020

Personally, it’s examples such as UOB — ones solving real-world problems and delivering value through data analytics while employing ML and AI — that makes this category really exciting. This has helped UOB to deliver more personalised features and services as part of the TMRW digital banking application. .

Enterprise 124

Enterprise Experimentation Uncertainty Deep Learning 124

AWS Big Data

JUNE 20, 2023

Apache Iceberg is an open table format for very large analytic datasets. It manages large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries. Mikhail specializes in data analytics services.

Data Lake 73

Data Lake Data Science Recreation/Entertainment Experimentation 73

IBM Big Data Hub

NOVEMBER 3, 2023

” This user interface not only brings Apache Flink to anyone that can add business value, but it also allows for experimentation that has the potential to drive innovation speed up your data analytics and data pipelines.

Cost-Benefit 75

Cost-Benefit Experimentation Testing Digital Transformation 75

CIO Business Intelligence

NOVEMBER 2, 2023

Enterprises that try to migrate to the cloud on their own often run into cost and time overruns because of their inexperience, says Junaid Saiyed, CTO of data analytics firm Alation, adding that organizations that adopt self-hosted cloud solutions often do not know how to optimize the cloud’s computing, automation, and financial strategies.

Strategy 129

Strategy Data Processing Experimentation Optimization 129

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. However, some may confuse it as DevOps for data , but that’s not the case, as there are key differences between DevOps and DataOps.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

CIO Business Intelligence

APRIL 6, 2022

Imtiaz (Taz) Sayed is the WW Analytics Tech Leader at AWS. Infosys Living Labs helps customers solve business problems with their emerging technology solutions and service offerings. About the authors: Guruprasad NV is the Senior Principal Technology Architect at Infosys. Jignesh Desai is the WW Migration Leader at AWS.

Experimentation 81

Experimentation Data Lake Uncertainty Enterprise 81

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.

Experimentation 52

Experimentation Machine Learning Manufacturing Data Analytics 52

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. Why should Chief Data & Analytics Officers care about data security? Yes, one more thing!

Insurance 150

Insurance Risk IoT Cost-Benefit 150

CIO Business Intelligence

MAY 16, 2023

It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises. AI surpassed other technologies in conversations about innovation The research underscores that AI is leading the way in accelerating innovation.

Advertising 87

Advertising Recreation/Entertainment Experimentation Enterprise 87

CIO Business Intelligence

MAY 10, 2023

Sundararajan has redefined the company’s purpose of reimagining global agriculture and food systems, and this is buoyed by his beliefs in good leadership: the ability to manage ambiguity and look at things through an experimental framework, which can open doors to more possibilities for the business.

Enterprise 52

Enterprise Digital Transformation Internet of Things B2B 52

AWS Big Data

OCTOBER 4, 2023

Amazon DataZone enables customers to discover, access, share, and govern data at scale across organizational boundaries, reducing the undifferentiated heavy lifting of making data and analytics tools accessible to everyone in the organization. Connect data people through shared data and tools to drive business insights.

Metadata 100

Metadata Data Lake Publishing Data Governance 100

CIO Business Intelligence

JUNE 9, 2022

Data drives efficiency. He sees data advances as helping clinical teams, from leveraging data analytics and AI to help with the prioritisation of the backlog to making sure clinical and theatre capacity is being used efficiently. Personally, he’s hoping to achieve better balance.

Digital Transformation 76

Digital Transformation Consulting Experimentation Data-driven 76

AWS Big Data

JANUARY 24, 2023

This post explains how to create a design that automatically backs up Amazon Simple Storage Service (Amazon S3), the AWS Glue Data Catalog, and Lake Formation permissions in different Regions and provides backup and restore options for disaster recovery. These mechanisms can be customized for your organization’s processes.

Data Architecture 67

Data Architecture Metadata Data Lake Snapshot 67

Cloudera

AUGUST 2, 2018

True – millions of credit card transactions are processed within minutes for consistency, fraud and compliance, using petabytes of historical transactions as reference data. Data teams in these insurance firms are leading the charge in rebuilding entire business models around data and analytics.

Data Warehouse 53

Data Warehouse Insurance Experimentation Software 53

Sisense

MAY 18, 2021

If marketing were an apple pie, data would be the apples — without data supporting your marketing program, it might look good from the outside, but inside it’s hollow. In a recent survey from Villanova University, 100% of marketers said data analytics has an essential role in marketing’s future. Deven says.

Marketing 52

Marketing Data Analytics Analytics Metrics 52