DataRobot

NOVEMBER 12, 2021

In a 2020 Capgemini Research study, only a meager 13% of businesses had successfully deployed use cases in production and continued to scale the use cases throughout multiple business teams. In 2019, Beacon Street Services needed new data models to enable its marketing team to run more targeted and effective campaigns.

Data Scientist 98

Data Scientist AI AI Machine Learning 98

Smart Data Collective

NOVEMBER 24, 2020

In this article, you’ll discover: upcoming trends in business intelligence what benefits will BI provide for businesses in 2020 and on? Thanks to this feature, QlickView collects, integrates and processes data at an increased speed, making it one of the fastest and most relevant BI tools in 2020. Future of BI: What Does it Hold?

Business Intelligence 134

Business Intelligence Business Intelligence Power BI Augmented Analytics 134

phData

MAY 31, 2023

From there, that question is fed into ChatGPT along with dbt data models that provide information about the fields in the various tables. From there, ChatGPT generates a SQL query which is then executed in the Snowflake Data Cloud , and the results are brought back into the application in a table format.

SQL 52

SQL Data Modeling Data Models Database 52

Tableau

JANUARY 27, 2021

With your input, we released more than 200 new capabilities across the Tableau platform in 2020. In every release, we're making Tableau easier to use, more powerful, and simpler to deploy to support governed data and analytics at scale. In 2020, we added the ability to write to external databases so you can use clean data anywhere.

Tableau 102

Tableau Business Intelligence Business Intelligence Analytics 102

phData

MAY 25, 2023

Snowflake is a cloud computing–based data cloud company that provides data warehousing services that are far more scalable and flexible than traditional data warehousing products. Creating an efficient data model can be the difference between having good or bad performance, especially when using DirectQuery.

Power BI 84

Power BI Analytics Analytics Azure 84

Smart Data Collective

SEPTEMBER 4, 2020

Not only this, but they can reduce your costs by ensuring that you can harness your data by yourself, without the need to employ a data analyst. The best data analysis software can help you to collect and organize your data, to construct potential data models, and can also help you to write up reports.

Big Data 106

Big Data Big Data Analytics Analytics 106

The Data Administration Newsletter

MAY 31, 2022

In my September 2020 Data is Risky Business column for TDAN.com, I wrote about the strategy lessons for data that we can learn from the writings of a 16thcentury Japanese swordsman. To summarize: – We need to study different disciplines to understand how they relate to each other.

Data Models 52

Data Models Data Modeling 52

DataRobot

FEBRUARY 22, 2021

DataRobot is excited to announce the graduation of the first class of our 10X Applied Data Science Academy. We started the 10x Academy in 2020 to address employers’ need for talent with strong applied automated AI skills and workers’ desire to upskill.

Data Science 52

Data Science Data Scientist Citizen Data Scientist Data Analyst 52

Tableau

DECEMBER 1, 2021

April 2018), which focused on users who do understand joins and curating federated data sources. May 2020) shifted sheets to a multiple-table data model, where the sheet’s fields allow the computer to write much more efficient queries to the data sources. Relationships in Tableau 2020.2 (May

Tableau 145

Tableau ML ML Database 145

Tableau

JANUARY 27, 2021

With your input, we released more than 200 new capabilities across the Tableau platform in 2020. In every release, we're making Tableau easier to use, more powerful, and simpler to deploy to support governed data and analytics at scale. In 2020, we added the ability to write to external databases so you can use clean data anywhere.

Tableau 52

Tableau Business Intelligence Business Intelligence Analytics 52

DagsHub

DECEMBER 11, 2023

DagsHub DagsHub is a centralized Github-based platform that allows Machine Learning and Data Science teams to build, manage and collaborate on their projects. In addition to versioning code, teams can also version data, models, experiments and more. However, these tools have functional gaps for more advanced data workflows.

Machine Learning 98

Machine Learning Machine Learning Data Lakes Data Science 98

O'Reilly Media

JULY 20, 2021

With enough data, models can be created to “read between the lines” in both helpful and dangerous ways. In 2020, Wink suddenly applied a monthly service charge; if you didn’t pay, the device would stop working. Also in 2020, Sonos caused a stir by saying they were going to “recycle” (disable) old devices.

ML 134

ML ML Machine Learning Machine Learning 134

Tableau

DECEMBER 1, 2021

April 2018), which focused on users who do understand joins and curating federated data sources. May 2020) shifted sheets to a multiple-table data model, where the sheet’s fields allow the computer to write much more efficient queries to the data sources. Relationships in Tableau 2020.2 (May

Tableau 98

Tableau ML ML Database 98

Dataconomy

JUNE 7, 2023

Data analysis and modeling : Certified Business Analysis Professionals have a solid grasp of data analysis techniques and can create data models to support business analysis activities. They identify data requirements, develop data dictionaries, and collaborate with data management teams.

Data Analysis 91

Data Analysis Data Analysis Data Modeling Data Models 91

Pickl AI

JANUARY 16, 2024

Professionals witness upward career trajectories against India’s escalating demand for Data Science skills. With 93,000 vacant Data Science jobs in India by August 2020 and projections of 11 million job openings by 2026, the field presents unprecedented growth opportunities, especially for those with less than five years of experience.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Analytics 52

AWS Machine Learning Blog

OCTOBER 20, 2023

Collectively, these modules address governance across various dimensions, such as infrastructure, data, model, and cost. Maira has been with AWS since January 2020. Prior to that, she worked as a data scientist in multiple industries focusing on achieving business value from data.

ML 138

ML ML AWS Data Lakes 138

Snorkel AI

MARCH 1, 2023

Unsupervised learning requires no labels and identifies underlying patterns in the data. Model architectures that qualify as “supervised learning”—from traditional regression models to random forests to most neural networks—require labeled data for training. What are some examples of Foundation Models?

Natural Language Processing 83

Natural Language Processing Supervised Learning Machine Learning Machine Learning 83

phData

APRIL 15, 2024

Greater Functionality Unlike in Direct Query, you are able to use all M and DAX functions (notably all-time intelligence functions), format fields however you desire, add calculated columns, and there are no limitations to data modeling.

Power BI 52

Power BI Database Data Modeling Data Models 52

The MLOps Blog

DECEMBER 28, 2022

ML collaboration and timely evaluation of system design Thanks to Abhishek Rai, a data scientist with Gigaforce Inc, for collaborating with me on this interview post and reviewing it before it was published. Team composition The team comprises domain experts, data engineers, data scientists, and ML engineers.

ML 78

ML ML Data Scientist Machine Learning 78

Mlearning.ai

SEPTEMBER 4, 2023

The reason for using a mixture of domain-specific and public data is a model that excels in financial assessments while also performing well on standard benchmarks. Scaling Laws for Neural Language Models.” 2020) and Chinchilla scaling laws with prior large language model and BloombergGPT parameter and data sizes.

AI 52

AI AI Azure Machine Learning 52

Explosion

JUNE 18, 2021

Like most of the world, I spent even more time indoors in 2020 than I usually do. Instead, you need to try out different ideas for the data, model implementation and even evaluation. Applied NLP Thinking: an analogy It’s a fairly abstract idea, but while I was writing this, I think I came up with a pretty fitting analogy.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Clustering 52

Smart Data Collective

AUGUST 31, 2020

The Institute for the Study of Labor has talked about the use of big data in economic forecasts. Investors take it a step further and build the data into a model that projects market prices. Big data is the key to successful stock future trading. Successful investors recognize the importance of technology.

Big Data 104

Big Data Big Data Algorithm Machine Learning 104

Tableau

MARCH 2, 2021

Our new Global Tracker pulls information from multiple data sources into one visualization, updated daily, allowing people to see and interact with those data to inform individual behavior, business decisions, and government policy. . . Different data sources, one data visualization: the power of Prep Builder.

Tableau 98

Tableau Data Visualization Data Modeling Data Models 98

Tableau

MARCH 2, 2021

Our new Global Tracker pulls information from multiple data sources into one visualization, updated daily, allowing people to see and interact with those data to inform individual behavior, business decisions, and government policy. . . Different data sources, one data visualization: the power of Prep Builder.

Tableau 52

Tableau Data Visualization Data Modeling Data Models 52

AWS Machine Learning Blog

OCTOBER 11, 2024

data # Assing local directory path to a python variable local_data_path = ". . By using the flexible document data model of MongoDB Atlas, organizations can represent and query complex knowledge entities and their relationships within Amazon Bedrock.

Database 108

Database AWS Clustering Data Lakes 108