Rocket-Powered Data Science

DECEMBER 16, 2018

So, you start by assuming a value for k and making random assumptions about the cluster means, and then iterate until you find the optimal set of clusters, based upon some evaluation metric. See the related post for more details about the cold start challenge. This is the meta-learning phase. What outcomes will be actionable?

Machine Learning 203

Machine Learning Metrics Optimization Data Science 203

CIO Business Intelligence

FEBRUARY 26, 2024

As with any revolutionary technology, artificial intelligence (AI) is viewed with both optimism and fear. The optimistic outlook posits that AI is our virtual assistant, taking care of mundane, task-oriented activities so we have time to conjure up new business ideas.

Advertising 98

Advertising Interactive Digital Transformation Technology 98

CIO Business Intelligence

JANUARY 25, 2023

David Chan, CEO, AVM Cloud AVM Cloud AVM Cloud’s CEO David Chan explains that “being named VMware’s Hybrid Cloud Provider of the Year FY 2018 reflected our commitment to provide customers with choices that enable them to optimize their unique cloud journey and in many ways our decision to pursue and earn the VMware Sovereign Cloud distinction is a (..)

Enterprise 98

Enterprise Manufacturing Optimization Management 98

Smart Data Collective

JANUARY 27, 2021

A 2018 whitepaper from a team of researchers from the University of Copenhagen in Denmark showed that artificial intelligence modeling was more effective at forecasting trends in market prices than conventional benchmarks. You should also track the accuracy of your algorithms and tweak them as necessary for optimal efficacy.

Machine Learning 139

Machine Learning Forecasting Predictive Analytics Marketing 139

CIO Business Intelligence

OCTOBER 11, 2023

As a result, utilities can improve uptime for their customers while optimizing operations to keep costs low. In addition, companies use AI for proactive grid management and predictive maintenance that helps prevent outages.

Unstructured Data 137

Unstructured Data Uncertainty Risk Data Processing 137

IBM Big Data Hub

MAY 12, 2023

IBM’s recommendations included API-specific improvements, bot UX optimization, workflow optimization, DevOps microservices and design consideration, and best practices for Azure manage services. IBM Consulting™ helped the customer modernize its architecture for a heavily used business-to-business conversational AI app.

Consulting 81

Consulting Cost-Benefit Optimization Dashboards 81

O'Reilly on Data

APRIL 23, 2024

Instead of continuing to deploy their attention optimization algorithms for their users’ and suppliers’ benefit, the tech giants began to use them to favor themselves. The most-clicked sponsored products were 17% more expensive and 33% lower ranked according to Amazon’s own quality, price, and popularity optimizing algorithms.

Advertising 270

Advertising Cost-Benefit Marketing Risk 270

CIO Business Intelligence

JANUARY 3, 2023

Sustainability is all about innovation and business optimization. IT-driven sustainability The league released sustainability reports in 2014 and 2018. The only way you can really advance change is by measuring, and then from measurement, impact. Sustainability is all about continuous business improvement.

Metrics 144

Metrics Measurement Recreation/Entertainment Data Collection 144

Rocket-Powered Data Science

DECEMBER 15, 2018

If we cannot know that ( i.e., because it truly is unsupervised learning), then we would like to know at least that our final model is optimal (in some way) in explaining the data. This challenge is known as the cold-start problem ! In those intermediate steps it serves as an evaluation (or validation) metric.

Machine Learning 171

Machine Learning Optimization Metrics Modeling 171

Sisense

JULY 24, 2019

Once both issues are addressed, the user can ask “how many customers are responsible for 80% of my Q1 2018 income compared to 2017?” and the system will know to look after ‘ clients ’ and aggregate the ‘ revenue ’ (the actual variable names in the system) to compare between Q1 2018 and Q1 2017. Machine Intent vs. User Intent.

Analytics 89

Analytics Experimentation Metadata Big Data 89

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

CIO Business Intelligence

JULY 5, 2022

The suite of tools included a digital value stream map, safety stock optimizer, inventory corridor report, and planning cockpit. Optimization: Once trends have been identified and predictions made, simulation techniques can be used to test best-case scenarios.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

FineReport

FEBRUARY 4, 2020

Such as material cutting: Two-way coupling of rigid bodies: This result was finally published at SIGGRAPH 2018. Differentiable programming in Taichi can effectively optimize the neural network controller through brute force gradient descent without using reinforcement learning. times faster than PyTorch. Links: Yuanming.Hu

Optimization 122

Optimization Measurement Testing Publishing 122

Smarten

MAY 18, 2022

Who sold the most fruit juice in Phonix, Arizona in Christmas of 2018? Who sold the most fruit juice in Phoenix Az in Christmas of 2018? If a sales manager is considering how to optimize her sales team and leverage customer product and purchasing preferences, the business would want to encourage creativity and out-of-the box thinking.

Data-driven 67

Data-driven Sales Metrics Testing 67

CIO Business Intelligence

MAY 11, 2022

The result was a new approach to optimizing IT planning that more closely mirrors the business. Loura joined Lumentum in October of 2018, bringing with him three decades of IT leadership experience. The company is a key player in the telecommunications industry, with annual revenues of $1.7 billion and 5,000 employees around the world.

Sales 97

Sales Cost-Benefit Manufacturing Optimization 97

CIO Business Intelligence

AUGUST 2, 2022

In early 2018, we realized that our tech projects were taking too long to deliver finished results and were determined to solve this real source of frustration. . We focus on optimal batch size. It is imperative for any forward-thinking business to move from an output-driven mentality to outcome-driven ways of working.

Optimization 98

Optimization Software Reporting Management 98

Sisense

FEBRUARY 9, 2021

In 2018, we received clearance from the FDA for the first automated movement designed for the CorPath GRX platform called ‘Rotate on Retract’ (RoR),” explained Doug Teany, Chief Operating Officer at Corindus. Food and Drug Administration (FDA). “In Data-driven health care. Data is the most valuable commodity in medicine,” Doug said.

Data-driven 144

Data-driven Optimization Risk Strategy 144

CIO Business Intelligence

OCTOBER 21, 2022

Removing the physical speaker box on site was a simple concept but a key part of a bigger digital transformation Chipotle kicked off in 2018 that led to an explosion in business, in large part because the digital ordering system required less human labor during the pandemic. Chipotle’s digital business in 2022 was $3.5

Digital Transformation 145

Digital Transformation Data Lake Forecasting Technology 145

CIO Business Intelligence

OCTOBER 17, 2023

As a result, organizations are adopting FinOps technology to manage and optimize cloud costs. Forrester researchers concur, noting that, “whenever economic headwinds hit, IT cost optimization gains momentum. For cloud cost management, high interest hit in 2018 and once again this year.”

Marketing 144

Marketing IT Cost-Benefit Enterprise 144

CIO Business Intelligence

MAY 3, 2022

This decentralization of computer power, known as edge computing , progressed slowly; in 2018, just 10% of enterprise data was being processed outside of cloud-based data centers. . For more information on how Broadcom Software can help modernize, optimize and protect your enterprise, contact us here. The speed of transition.

Software 96

Software Internet of Things IoT Manufacturing 96

Smart Data Collective

APRIL 22, 2021

generated 600 million tons of construction and demolition debris in 2018. Workflow Optimization. The sector accounted for 39% of energy-related carbon emissions globally in 2018. Big data insights, which are much more comprehensive, can prevent these mistakes. Waste Reduction. Sustainability.

Big Data 110

Big Data Predictive Analytics Data Analytics Analytics 110

CIO Business Intelligence

APRIL 25, 2023

ChatGPT was trained with 175 billion parameters; for comparison, GPT-2 was 1.5B (2019), Google’s LaMBDA was 137B (2021), and Google’s BERT was 0.3B (2018). ChatGPT was trained on a much larger dataset than its predecessors, with far more parameters. These attributes make it possible for users to enquire about a broad set of information.

Experimentation 116

Experimentation Enterprise Deep Learning Modeling 116

Birst BI

AUGUST 23, 2018

Source: Gartner (April 2018). Our goal is to create science solutions that make better predictions or result in more optimal decisions. Some examples of products we have built include pricing optimization for Distribution and inventory optimization for Healthcare. Idoine, Erick Brethenoux, 12 June 2018.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Cloudera

SEPTEMBER 29, 2021

However, with the COVID-19 pandemic placing extreme pressure on governments to deliver accessible and efficient services while ensuring optimal user experience, going digital is now a necessity and not a luxury. The Singapore Health Services (SingHealth) has also used data to optimize operations during the pandemic.

Digital Transformation 83

Digital Transformation Data Governance Data-driven Uncertainty 83

Smart Data Collective

FEBRUARY 16, 2023

Machine learning technology is invaluable for helping you optimize your strategy for your audience in a given area. We talked about some of the AI-driven content generation tools that were available in 2018. Even more robust machine learning tools like Rytr have emerged since.

Machine Learning 116

Machine Learning ROI Marketing Cost-Benefit 116

Smart Data Collective

FEBRUARY 14, 2023

The best part is that many of these web apps are using AI technology to provide the optimal user experience. Web developers know that they’re working within the constraints of a browser, so they tend to optimize their product to operate as efficiently as possible with fewer computing resources.

Risk 116

Risk Technology Optimization Machine Learning 116

Insight

MARCH 27, 2019

It utilizes Bayesian optimization for discovering data augmentation strategies tailored to your image dataset. To address this problem, Google published AutoAugment last year, which discovers optimized augmentations for the given dataset using reinforcement learning. 2018 , blog ). Be modular and user-friendly.

Optimization 75

Optimization Cost-Benefit Modeling Strategy 75

CIO Business Intelligence

MARCH 3, 2023

A 2018 report by consulting firm Deloitte notes that fans at home often have access to better camera angles, as well as AR/VR, multiplatform, and other multimedia options. Sustainability is all about innovation and business optimization. An oft-cited reason for this decline is increasing competition from home-viewing options.

Data Analytics 98

Data Analytics Analytics Measurement Metrics 98

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 76

Slice and Dice Unstructured Data Dashboards Optimization 76

CDW Research Hub

JUNE 10, 2021

With our acquisition of Forsythe in 2018, Sirius vaulted to the top ranks of security solution providers and our dedicated Security practice now contributes over $800 million to our annual revenue. OPTIMIZE. & Optimization & Validation. Identity & Access Management. Program Strategy & Operations. CONSULT. &

Enterprise 52

Enterprise Consulting Risk Business Objectives 52

Smarten

AUGUST 23, 2022

THAT is what they want in analytics as well and if you don’t give it to them, they are unlikely to adopt the analytical tools you invested in or to achieve the results you wanted for optimizing resources, improving productivity and, most importantly, engaging in fact-based decision making that will improve the business bottom line.

Data-driven 76

Data-driven Sales Optimization Machine Learning 76

Data Science 101

APRIL 26, 2019

Go Machine Learning Projects (2018) – this book uses gonum and gorgonia in the examples Machine Learning with Go (2017). Golang Data Science Books. There have even been a couple books written about the topic. Thoughts from the Community. Reasons Not to use Golang for Data Science.

Data Science 111

Data Science Machine Learning Interactive Risk 111

Cloudera

DECEMBER 19, 2018

Only three years later, that number more than tripled to 59% in 2018. The most common big data use case is data warehouse optimization. Despite being a nascent technology, natural language analysis has increased in priority by 23% from 2017 to 2018, according to Dresner’s survey.

Data Warehouse 54

Data Warehouse Analytics Big Data Data Architecture 54

Smart Data Collective

OCTOBER 8, 2021

This is according to Barclay Hedge founder and President Sol Waksman in his July 2018 statement. And subsequently, run using different parameters during the optimization phase to identify the most suitable combination. Perform quantitative analysis. Machine learning has done a lot to help them improve financial trading. Final thoughts.

Machine Learning 116

Machine Learning Testing Strategy Modeling 116

Domino Data Lab

JANUARY 24, 2019

In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. 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

CIO Business Intelligence

OCTOBER 17, 2022

To learn more about how Broadcom Software can help you modernize, optimize, and protect your enterprise, contact us here. Now, if ICT companies are servicing financial institutions in the EU, they most likely will be subject to DORA as well. Determine what you need to remediate your gaps. Educate and get buy-in from senior management.

Risk Management 105

Risk Management Risk Enterprise Testing 105

IBM Big Data Hub

MARCH 8, 2024

The 5G rollout began in 2018 with a global initiative known as the 3rd Generation Partnership Project (3FPP) that defined a new set of standards to steer the design of devices and applications for use on 5G networks.

IoT 108

IoT Broadcasting Internet of Things Technology 108