The Unofficial Google Data Science Blog

APRIL 23, 2024

If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). However, joint optimization is possible by increasing both $x_1$ and $x_2$ at the same time.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Ontotext

MAY 17, 2019

According to a survey published in Accenture’s Life Science Tech Vision 2018 , 99% of Life Sciences executives expect the volume of data exchanged with their ecosystem partners to increase significantly over the next two years. The Contribution of Artificial Intelligence to Healthcare Services. Ontotext’s Smart Pharma Search Solution.

Slice and Dice 40

Slice and Dice Unstructured Data Dashboards Optimization 40

Cloudera

SEPTEMBER 12, 2018

And now, without further delay, we are excited to announce the winners of the 2018 Data Impact Awards, listed by award theme and category: Business Impact. The bank coordinates all interactions via its branch network and Australian-based contact centers and presents it back through digital channels, ATMs, email and direct mail.

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

O'Reilly on Data

NOVEMBER 28, 2023

Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. Programmers have always developed tools that would help them do their jobs, from test frameworks to source control to integrated development environments. Only 4% pointed to lower head counts.

Enterprise 271

Enterprise Modeling Testing Reporting 271

datapine

OCTOBER 21, 2020

Every patient has his own digital record which includes demographics, medical history, allergies, laboratory test results, etc. EHRs can also trigger warnings and reminders when a patient should get a new lab test or track prescriptions to see if a patient has been following doctors’ orders. 2) Electronic Health Records (EHRs).

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

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. Interactive Query Synthesis from Input-Output Examples ” – Chenglong Wang, Alvin Cheung, Rastislav Bodik (2017-05-14). AutoPandas: Origins. Software writes Software?

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

CIO Business Intelligence

MARCH 22, 2022

He brings expertise in developing IT strategy, digital transformation, AI engineering, process optimization and operations. In his last role at TCS, as global business head for UK and Europe operations, Bhat was responsible for strategizing and driving business growth, delivery, CXO-level interactions, and business benefits for TCS customers.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

Sisense

JUNE 9, 2021

In training, wearable devices measure players’ workload, movement, and fatigue levels to manage their fitness and positioning and optimize their performance during play. Team data can also be analyzed as a network, in which nodes represent players and the lines between the nodes represent interactions, such as passes between teammates.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

bridgei2i

FEBRUARY 21, 2019

Monideepa Bhattacharya, Digital Transformation Lead, BRIDGEi2i Analytics Solution, delivered the keynote presentation at Infocom-2018, Kolkata. Monideepa also explained how these AI accelerators were used in context with a client. BRIDGEi2i deployed a solution using all the AI accelerators while keeping the recommender at its heart.

Digital Transformation 66

Digital Transformation Analytics Sales KPI 66

Smarten

SEPTEMBER 6, 2019

With true self-serve business intelligence and analytics solutions, the average business user can perform data preparation, test theories and hypotheses by prototyping on their own and share clear, objective data with others. Users can control the data elements, the volume and the timing of the analysis and reporting.

Analytics 51

Analytics IT Business Intelligence Testing 51

Domino Data Lab

MAY 8, 2019

2018-06-21). Agile was originally about iterating fast on a code base and its unit tests, then getting results in front of stakeholders. Perhaps if machine learning were solely being used to optimize advertising or ecommerce, then Agile-ish notions could serve well enough. Challenges for Transparency ”. Riccardo Guidotti, et al.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Cloudera

NOVEMBER 14, 2018

Explore our interactive federated learning prototype, Turbofan Tycoon. Register for our webinar (Thursday November 15 2018). This model needs training data—but testing lots of turbines until they fail in order to acquire that data would be expensive for the manufacturer. Predictive maintenance. Conclusion.

Manufacturing 41

Manufacturing Machine Learning IoT Modeling 41

Domino Data Lab

AUGUST 22, 2019

Note: A test set of 19,500 such analogies was developed by Tomas Mikolov and his colleagues in their 2013 word2vec paper. This test set is available at download.tensorflow.org/data/questions-words.txt.]. Relative to extrinsic evaluations, intrinsic tests are quick. Note that the final test word in Table 11.2—ma’am—is

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Cloudera

DECEMBER 12, 2018

In the Hadoop world, or the big data world, most of these components are separate and modular, but yet interact together to form a system that behaves very similarly. Greg Rahn: It seems just astounding that we have an order of magnitude more data in a single table in 2018, than an entire company had in their single largest database in 2004.

Data Warehouse 41

Data Warehouse Marketing Big Data Data Lake 41

O'Reilly on Data

MAY 21, 2019

For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production. A catalog or a database that lists models, including when they were tested, trained, and deployed. Metadata and artifacts needed for audits.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. Another increasing factor in the future of business intelligence is testing AI in a duel. Today, managers and workers need to interact differently as they face an always-more competitive environment.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

APRIL 12, 2022

Perforce already owns development tools such as Helix and the testing tools, including Perfecto and BlazeMeter. Infosys will fold oddity into Wongdoody, the US consumer insights agency it bought in 2018. Microsoft buys Minit to optimize process automation. Test automation: Tricentis buys Testim.

Enterprise 142

Enterprise Technology Consulting Software 142

IBM Big Data Hub

FEBRUARY 9, 2024

Prior to the current hype cycle, generative machine learning tools like the “Smart Compose” feature rolled out by Google in 2018 weren’t heralded as a paradigm shift, despite being harbingers of today’s text generating services. Here are some important current AI trends to look out for in the coming year.

Cost-Benefit 105

Cost-Benefit Modeling Data-driven Enterprise 105