KDnuggets

DECEMBER 30, 2019

For those of you in a hurry and interested in ultralearning (which should be all of you), this recap reviews the approach and summarizes its key elements -- focus, optimization, and deep understanding with experimentation -- geared toward learning Data Science.

Data Science 94

Data Science Experimentation Optimization IT 94

CIO Business Intelligence

MAY 8, 2023

It eliminates a lot of experimentation time … and accelerates our research quite dramatically.” We have worked closely with them as an innovation partner specifically in this area since between 2019 and 2020 when [CAS] started to refresh its business model and have a services organization,” Wilmot says.

Manufacturing 95

Manufacturing Experimentation Digital Transformation Technology 95

Hurwitz & Associates

JULY 19, 2018

Edge-to-cloud is the central focus of Hewlett Packard Enterprise (HPE) marketing and go-to-market efforts in 2018/2019. HPE Pointnext also supports a Memory-Driven Computing Sandbox cloud service that gives customers access to HPE Superdome Flex systems with scalable memory, for experimentation and prototyping projects.

Strategy 40

Strategy Data-driven Experimentation Software 40

CIO Business Intelligence

MARCH 10, 2022

IBM’s current mainframe models, the z15 T01 and z15 T02, were introduced in September 2019 and May 2020 respectively, and the company still offers follow-on service for machines right back to the zEC12 released in September 2012. The z900 also had one of the longest periods of follow-on service, at 8.5

Sales 130

Sales Testing Experimentation Data Processing 130

Domino Data Lab

JUNE 13, 2019

2018 , 2019 ], the rediscovery of the 50,000 lost MNIST test digits provides an opportunity to quantify the degradation of the official MNIST test set over a quarter-century of experimental research.” 2018 , 2019 ], albeit on a different dataset and in a substantially more controlled setup. ” They also were able to.

Testing 83

Testing Data Science Experimentation Metadata 83

DataRobot

JUNE 17, 2021

Traditionally, science has advanced in many cases by having brilliant researchers compete different hypotheses to explain experimental data, and then design experiments to measure which is correct. Distilling Free-Form Natural Laws from Experimental Data, Science 03 Apr 2009: Vol. So What is Eureqa? References. Schmidt, M.,

Modeling 52

Modeling Experimentation Machine Learning Measurement 52

CIO Business Intelligence

SEPTEMBER 12, 2022

Prioritize time for experimentation. In 2019, this may have looked like a group of individuals coming together in a meeting room, whiteboarding customer needs, brainstorming ideas, sharing past experiences, and ideating solutions. Here, they and others share seven ways to create and nurture a culture of innovation.

Experimentation 133

Experimentation Consulting Technology Machine Learning 133

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. Spring 2019 Full Stack Deep Learning Bootcamp (Berkeley).

Management 332

Management Machine Learning Experimentation Metrics 332

Data Science and Beyond

APRIL 5, 2021

The Australian bushfires of 2019-20 provided me with extra motivation to help nudge Automattic to do more in the fight against climate change. Finally, I was surprised and honoured to receive the Scoresby Shepherd Award for doing the most RLS surveys in the 2019-20 financial year. Only time will tell. Sustainability. Technical work.

Experimentation 61

Experimentation Testing Publishing Measurement 61

Corinium

JUNE 6, 2019

It is also important to have a strong test and learn culture to encourage rapid experimentation. What are you most looking forward to about CDAOI Insurance 2019? A properly set framework will ensure quality, timeliness, scalability, consistency, and industrialization in measuring and driving the return on investment.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Sisense

MARCH 6, 2019

Gartner chose to group the rest of the keynote into three main messages according to the following categories: Here are some of the highlights as presented for each of them: Data Driven – “Adopt an Experimental Mindset”. At Sisense we’ve been preaching for BI prototyping and experimentation for quite a while now.

Data Analytics 75

Data Analytics Analytics Experimentation Data-driven 75

Sanjeev Mohan

FEBRUARY 6, 2019

This is the focus of my latest research which published in Jan 2019. In fact, this space continues to remain hot as can be seen from Alation’s $50M and Collibra’s $100M funding in January 2019. GCP has gained acceptance for development and experimentation and more enterprise customers are putting it into production.

Data Analytics 49

Data Analytics Analytics Data Governance Experimentation 49

KDnuggets

NOVEMBER 19, 2019

Find out how data scientists and AI practitioners can use a machine learning experimentation platform like Comet.ml to apply machine learning and deep learning to methods in the domain of audio analysis.

Deep Learning 47

Deep Learning Machine Learning Experimentation 47

Sisense

MARCH 26, 2021

To achieve this, he says, companies should find ways to lower the cost of experimentation, decrease the time to value, and scale successful experimentation into products quickly. Charles articulated this in a 2019 article in which he considered invisible analytics and embedded insights to be the future of business intelligence.

Analytics 98

Analytics Data-driven Dashboards Experimentation 98

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 Experimentation Reporting 98

CIO Business Intelligence

JUNE 27, 2022

You pointed to frontend as a key area in 2019. A lot of the current approaches feel very experimental and are tough to see as maintainable, so there’s certainly still room for growth here. Tyson: In a sense bridge the gap between app and system monitoring. What do you see as the most interesting areas of activity in dev right now?

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. Enterprises with teams of data scientists select these solutions to enable accelerated experimentation for individuals while simultaneously driving collaboration and governance for the organization. Reflections.

Data Science 65

Data Science Marketing Data-driven Statistics 65

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.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

O'Reilly on Data

MARCH 18, 2020

The new survey, which ran for a few weeks in December 2019, generated an enthusiastic 1,388 responses. This year, about 15% of respondent organizations are not doing anything with AI, down ~20% from our 2019 survey. It seems as if the experimental AI projects of 2019 have borne fruit. But what kind?

Enterprise 311

Enterprise Deep Learning Data Governance Risk 311

Decision Management Solutions

JUNE 25, 2019

Her presentation really showed the importance of persistence, experimentation and lateral thinking in developing an analytic solution. The post Predictive Analytics World 2019 – What I Learned and What I Said appeared first on Decision Management Solutions. Details will appear at [link].

Predictive Analytics 75

Predictive Analytics Analytics Data Science Experimentation 75

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 20

IoT Big Data Data Warehouse Uncertainty 20

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 Data-driven Machine Learning 66

Jet Global

APRIL 27, 2023

Understand Your Research and Development Manufacturing accounted for 58 percent of US domestic research and development (R&D) spending in 2019, according to the  National Center for Science and Engineering Statistics. That  That means tax law changes to R&D investment are a major concern in the industry.

Manufacturing 52

Manufacturing Marketing Experimentation Risk 52

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 IT 246

DataKitchen

APRIL 13, 2021

Acquired by DataRobot June 2019). Comet.ML — Allows data science teams and individuals to automagically track their datasets, code changes, experimentation history and production models creating efficiency, transparency, and reproducibility. ModelOp — Governs, monitors, and orchestrates models across the enterprise.

Testing 307

Testing Machine Learning Consulting Data Quality 307

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

Corinium

APRIL 25, 2019

Whether eventual legislation will exactly mirror GDPR remains to be seen, I think there will be some experimentation at the State level as well as for specific verticals whose successes would point the way. What are you most looking forward to about CDAOI Insurance 2019?

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Sisense

JANUARY 7, 2020

There’s no pressure to produce perfect results, we’ve built an atmosphere that encourages continual experimentation and rewards those who help others. He was the co-founder and CEO of Periscope Data, which merged with Sisense in May 2019. Harry Glaser is the Chief Marketing Officer and General Manager of San Francisco at Sisense.

Experimentation 93

Experimentation Optimization Data Analytics Marketing 93

Domino Data Lab

JULY 2, 2019

See also: Caroline Lemieux’s slides for that NeurIPS talk, and Rohan Bavishi’s video from the RISE Summer Retreat 2019. Program Synthesis 101 ” – Alexander Vidiborskiy (2019-01-20). Automatic Program Synthesis of Long Programs with a Learned Garbage Collector ” – Amit Zohar, Lior Wolf (2019-01-22). Software writes Software?

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

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. Jupyter Book: Interactive books running in the cloud ” by Chris Holdgraf (2019-03-27). Women in Open Source ” by Debra Williams Cauley and Melissa Ferrari (2019-04-18). “

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Perceptual Edge

AUGUST 26, 2019

A serious approach would begin with a thorough understanding of data visualization, which is not Pangilinan’s area of expertise, and would then proceed scientifically by designing and running experimental studies to test its usefulness. Her case is hollow.

Visualization 52

Visualization Cost-Benefit Interactive Experimentation 52

O'Reilly on Data

DECEMBER 9, 2019

As the number of experimental trials N approaches infinity, the probability of E equals M/N. Output of Statsmodels summarizing the linear regression results of AAPL’s MM from 10/20/2017 to 10/21/2019. Output of Statsmodels summarizing the linear regression results of AAPL’s MM from 10/20/1999 to 10/21/2019.

Statistics 27

Statistics Uncertainty Risk Marketing 27

IBM Big Data Hub

NOVEMBER 6, 2023

1971: Creeper worm Just five years after John von Neumann’s theoretical work was published, a programmer by the name of Bob Thomas created an experimental program called Creeper, designed to move between different computers on the ARPANET , a precursor to the modern Internet.

Software 121

Software IoT Internet of Things Experimentation 121

DataRobot

JUNE 2, 2021

They went on to say that investing in MLOps directly answers one of the biggest questions facing AI practitioners in the enterprise: how to move from experimentation to transformation. In 2019, it acquired ParallelM, the leader in machine learning operations. DataRobot Continues Investment in MLOps and New Features.

Experimentation 52

Experimentation Machine Learning Reporting Modeling 52

Smarten

MAY 11, 2017

Advanced Data Discovery ensures data democratization by enabling users to drastically reduce the time and cost of analysis and experimentation. By 2019, citizen data scientists will surpass data scientists in the amount of advanced analysis produced.

Experimentation 49

Experimentation Visualization Business Intelligence Predictive Analytics 49

O'Reilly on Data

JANUARY 7, 2020

In fact, in our 2019 surveys, more than half of the respondents said AI (deep learning, specifically) will be part of their future projects and products—and a majority of companies are starting to adopt machine learning. New (and simpler) tools, infrastructures, and hardware are being developed.

Deep Learning 179

Deep Learning Machine Learning Experimentation Modeling 179