Domino Data Lab

JULY 2, 2019

SQL optimization provides helpful analogies, given how SQL queries get translated into query graphs internally , then the real smarts of a SQL engine work over that graph. See also: Caroline Lemieux’s slides for that NeurIPS talk, and Rohan Bavishi’s video from the RISE Summer Retreat 2019. Software writes Software? SQL and Spark.

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

CIO Business Intelligence

MAY 8, 2023

So it launched a collaboration with Chemical Abstract Services (CAS), a division of the American Chemistry Society, to leverage CAS SciFinder, which, unlike generic search engines, is optimized for searching for chemical molecules from an electronic catalog of more than 200 million compounds.

Manufacturing 95

Manufacturing Experimentation Digital Transformation Technology 95

FineReport

DECEMBER 19, 2019

If you want to learn more about self-service BI tools, you can take a look at this review: 5 Most Popular Business Intelligence (BI) Tools in 2019 , to understand your own needs and then choose the tool that is right for you. Of course, other BI tools such as Power BI and Qlikview also have their own advantages. From Google.

Knowledge Discovery 98

Knowledge Discovery Visualization Data mining Reporting 98

CIO Business Intelligence

JUNE 27, 2022

It’s not perfect by any means, and we are continuously breaking our own product, but it’s optimized for shipping new features to customers as quickly as we can. You pointed to frontend as a key area in 2019. Is it still true today? . Cramer: Yes, it’s still true today. We rely heavily on automated testing.

Software 115

Software Experimentation Testing Marketing 115

Domino Data Lab

JANUARY 24, 2019

Before we get too far into 2019, I wanted to take a brief moment to reflect on some of the changes we’ve seen in the market. These data scientists require the flexibility to use a constantly-evolving software and hardware stack to optimize each step of their model lifecycle. Reflections. Jupyter) or IDEs (e.g.,

Data Science 65

Data Science Marketing Data-driven Statistics 65

Jet Global

APRIL 27, 2023

For your tax team to be agile, you’ll need to optimize tax technology and processes so you can both spot data insights and mitigate risk. Manufacturing organizations will succeed if they can adapt quickly to shifting supply chains and maintaining agility in reporting.

Manufacturing 52

Manufacturing Marketing Reporting Risk 52

Ontotext

DECEMBER 30, 2022

9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. In 2019 the market for graph databases and knowledge graphs started heating up – appearing on Gartner’s hype curves in 2018. The first 18 years: Develop vision and products and deliver to innovation leaders.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Ontotext

DECEMBER 30, 2022

9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. In 2019 the market for graph databases and knowledge graphs started heating up – appearing on Gartner’s hype curves in 2018. The first 18 years: Develop vision and products and deliver to innovation leaders.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Business Over Broadway

MAY 22, 2019

According to Gartner, companies need to adopt these practices: build culture of collaboration and experimentation; start with a 3-way partnership among executives leading digital initiative, line of business and IT. Using Customer Journey Orchestration and AI to Optimize Customer Experience: [link].

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

O'Reilly on Data

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. 221) to 2019 (No. 40; it peaked at Strata NY 2018 at No. 30 in 2018.

IoT 23

IoT Big Data Data Warehouse Uncertainty 23

Domino Data Lab

MAY 8, 2019

They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Perhaps if machine learning were solely being used to optimize advertising or ecommerce, then Agile-ish notions could serve well enough. evaluate the effects of models on human subjects.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

O'Reilly on Data

JULY 25, 2023

For instance, if I’m reading a paper from 2019, a popular song from that year could start playing. I also installed the latest VS Code (Visual Studio Code) with GitHub Copilot and the experimental Copilot Chat plugins, but I ended up not using them much. This choice also inspired me to call my project Swift Papers.

Consulting 246

Consulting Interactive Software Metadata 246

CIO Business Intelligence

MARCH 10, 2022

Fujitsu remains very much interested in the mainframe market, with a new model still on its roadmap for 2024, and a move under way to “shift its mainframes and UNIX servers to the cloud, gradually enhancing its existing business systems to optimize the experience for its end-users.”

Sales 130

Sales Testing Experimentation Data Processing 130

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. Ensure a culture that supports a steady process of learning and experimentation. ethics in AI.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

Corinium

APRIL 25, 2019

All assets need to be optimally leveraged for maximum business value while also being protected from misuse, whether there was malicious intent or not, and this needs to be the responsibility of whomever is responsible for that asset in the company. What are you most looking forward to about CDAOI Insurance 2019?

Insurance 150

Insurance Risk IoT Data-driven 150

Sisense

JANUARY 7, 2020

Rather than building two separate data analytics platforms for two separate parts of the overall data analysis process, we are focusing on building a single data platform with tools optimized for every user. He was the co-founder and CEO of Periscope Data, which merged with Sisense in May 2019.

Experimentation 93

Experimentation Optimization Data Analytics Marketing 93