Cloudera

MARCH 29, 2022

And as data sources increase – streaming data at the edge as well as enterprise data sources – and with them, the information silos created by disparate departmental data storage, for example, it’s no wonder 56 percent of IT leaders report managing and securing data to be their biggest challenge, according to a 2021 Meritalk survey. .

Cost-Benefit 96

Cost-Benefit Strategy Data Science Data Processing 96

Cloudera

JANUARY 24, 2022

In order to be considered for the Data for Good category, submissions must have addressed some of the most challenging issues affecting society and the planet, making what was impossible yesterday, possible today, and transforming the future. The company used Cloudera Data Science Workbench to create data-centric applications and solutions.

Data Lake 64

Data Lake Risk Machine Learning Data Collection 64

CIO Business Intelligence

MAY 17, 2022

This particular hospital’s data science team had built a system to identify such comorbidities. Another option is to gather better training data to improve the algorithms so that the recommendations are more precise. The hospital did this by investing more in data collection, Taglieti says.

Risk 139

Risk Consulting Machine Learning Data Science 139

Data Science and Beyond

APRIL 5, 2021

I hope to continue working in the area in 2021, so the frequency of posts here is likely to remain about the same. While data from RLS dives helps global conservation efforts, diving also reminds me that there’s still so much left to save and conserve. Technical work.

Experimentation 61

Experimentation Testing Publishing Measurement 61

IBM Big Data Hub

SEPTEMBER 27, 2022

In a 2021 study by the IBM Institute of Business Value , nearly 75% of executives ranked AI ethics as important, a jump from less than 50% in 2018. This includes data collection, instrumenting processes and transparent reporting to make needed information available for all the stakeholders.

Consulting 52

Consulting Machine Learning Modeling Strategy 52

Andrew White

JANUARY 9, 2022

– In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend. I would take a look at our Top Trends for Data and Analytics 2021 for additional AI, ML and related trends. We did in fact do so last year for the Leadership Vision for D&A Leaders 2021.

Analytics 64

Analytics Measurement Modeling Data-driven 64

CIO Business Intelligence

FEBRUARY 6, 2023

Fortune Business Insights predicts that the global BI market will grow to $43 billion by 2028 , up from $24 billion in 2021. They can then use this data to measure the company’s sales performance and predict future outcomes. However, the overall adoption rate of BI is just 26% compared to 80% in companies with over 5,000 employees.

Business Intelligence 62

Business Intelligence Forecasting Marketing Sales 62

Alation

JULY 7, 2022

Alation launched the Data Intelligence Project in the summer of 2021 to train the next generation of data leaders. With Alation, students learn the critical skills they need to curate, govern, and discover data assets in the data-driven enterprises of today. A lack of data literacy slows down the process.

Metadata 52

Metadata Data-driven Insurance Statistics 52

O'Reilly on Data

MARCH 18, 2020

In 2019, 57% of respondents cited a lack of ML modeling and data science expertise as an impediment to ML adoption; this year, slightly more—close to 58%—did so. This is consistent with the results of our data quality survey. This is true of other in-demand skills, too.

Enterprise 318

Enterprise Deep Learning Data Governance Risk 318

The Unofficial Google Data Science Blog

JULY 18, 2023

Measurement challenges Assessing reliability is essentially a process of data collection and analysis. To do this, we collect multiple measurements for each unit of observation, and we determine if these measurements are closely related. ACL-IJCNLP 2021) Data Excellence: Better Data for Batter AI (Aroyo, L.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Domino Data Lab

AUGUST 1, 2021

The surrogate model is often a simple linear model or a decision tree, which are innately interpretable, so the data collected from the perturbations and the corresponding class output can provide a good indication on what influences the model’s decision. References. Maria Fox, Derek Long, and Daniele Magazzeni.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Andrew White

MARCH 31, 2023

Apparently 2021 was a record year to that point too: [link]. I wonder of much of this money went to data, analytics and AI? They included data management, analytics and data science, AI and ML, governance and MDM, as well as AI, ML and more. It seems 2022 was a record year for VC funding overall.

Analytics 40

Analytics Marketing Visualization Data-driven 40