Rocket-Powered Data Science

JUNE 17, 2022

Here is a list of my top moments, learnings, and musings from this year’s Splunk.conf : Observability for Unified Security with AI (Artificial Intelligence) and Machine Learning on the Splunk platform empowers enterprises to operationalize data for use-case-specific functionality across shared datasets. is here, now!

Machine Learning 237

Machine Learning Recreation/Entertainment Risk Business Objectives 237

CIO Business Intelligence

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Analytics 131

Analytics Data Science Unstructured Data Data mining 131

DataKitchen

MARCH 16, 2023

Errors can originate from various sources, including data collection, integration, models, visualization, governance, and security. Organizations will make better-informed, data-driven decisions by minimizing errors and avoiding the negative consequences of relying on inaccurate information. Where do you find errors?

Metrics 130

Metrics Data Analytics Analytics Measurement 130

Cloudera

APRIL 9, 2021

The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection. The second blog dealt with creating and managing Data Enrichment pipelines. The third video in the series highlighted Reporting and Data Visualization. Data Collection – streaming data.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

FineReport

MARCH 24, 2024

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Data Analyst Job Description: Major Tasks and Duties Data analysts collaborate with management to prioritize information needs, collect and interpret business-critical data, and report findings.

Statistics 52

Statistics Data mining Visualization Reporting 52

IBM Big Data Hub

FEBRUARY 23, 2024

DL models can improve over time through further training and exposure to more data. When a user sends a message, the system uses NLP to parse and understand the input, often by using DL models to grasp the nuances and intent. Marketing and sales: Conversational AI has become an invaluable tool for data collection.

Enterprise 105

Enterprise Interactive Data-driven Key Performance Indicator 105

Smart Data Collective

MARCH 28, 2022

Data analytics is the discipline of examining raw data to make conclusions about that set of information. All the processes and techniques used in data analytics can be automated into algorithms that work on raw data. Businesses can use it to optimize their performance.

Data Analytics 85

Data Analytics Software Analytics Statistics 85

AWS Big Data

JULY 13, 2023

Vega Cloud’s platform is based on the FinOps Foundation’s best practices and removes the confusion behind the business value of cloud services and accelerates strategic decisions while maintaining cost optimization. QuickSight enables our product team to ship product quickly and rapidly test customer feedback and assumptions.

Cost-Benefit 75

Cost-Benefit Dashboards Optimization Visualization 75

CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers.

Analytics 121

Analytics Data Science Statistics Unstructured Data 121

Decision Management Solutions

FEBRUARY 8, 2021

On the contrary, optimal decision-making is based on the marriage of artificial intelligence technologies and business rules (created by humans)—and this is what makes real-world scenarios possible. The engineering team fused data from multiple sensors, along with information from weather surveillance radar, to develop a hazard chart.

Machine Learning 93

Machine Learning Testing Deep Learning Optimization 93

IBM Big Data Hub

FEBRUARY 14, 2024

Other uses include Netflix offering viewing recommendations powered by models that process data sets collected from viewing history; LinkedIn uses ML to filter items in a newsfeed, making employment recommendations and suggestions on who to connect with; and Spotify uses ML models to generate its song recommendations.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

IBM Big Data Hub

AUGUST 11, 2023

Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. These insights can help drive decisions in business, and advance the design and testing of applications. How the models are stored.

Data Science 57

Data Science Machine Learning Cost-Benefit Deep Learning 57

AWS Big Data

FEBRUARY 26, 2024

When you start the process of designing your data model for Amazon Keyspaces, it’s essential to possess a comprehensive understanding of your access patterns, similar to the approach used in other NoSQL databases. It empowers businesses to explore and gain insights from large volumes of data quickly. Choose the Test tab.

Dashboards 62

Dashboards Testing Metrics Optimization 62

CIO Business Intelligence

JUNE 5, 2023

Optimize internal technology Today, CIOs can influence everything from hardware procurement and the way developers write code for their company, to how IT gathers, processes, distributes and stores data—all of which impact a company’s carbon footprint. The CIO’s role in delivering this technology will be essential.

Software 98

Software Measurement Visualization Business Objectives 98

IBM Big Data Hub

MAY 26, 2023

Cloud computing offers the potential to redefine and personalize customer relationships, transform and optimize operations, improve governance and transparency, and expand business agility and capability. Leading life science companies are leveraging cloud for innovation around operational, revenue and business models.

Consulting 79

Consulting Cost-Benefit Optimization Machine Learning 79

Ontotext

FEBRUARY 14, 2024

CEEL is an end-to-end transformer-based model that includes mention detection and uses entity types and entity descriptions to perform entity linking. Out of the box, the model links to Wikidata IDs. That’s why such models must use context in order to differentiate between entities, just as humans do.

Cost-Benefit 52

Cost-Benefit Modeling Metadata Optimization 52

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years.

Cost-Benefit 108

Cost-Benefit Internet of Things Data-driven Data Lake 108

O'Reilly on Data

MARCH 31, 2020

Instead of writing code with hard-coded algorithms and rules that always behave in a predictable manner, ML engineers collect a large number of examples of input and output pairs and use them as training data for their models. The model is produced by code, but it isn’t code; it’s an artifact of the code and the training data.

Management 332

Management Machine Learning Experimentation Metrics 332

CIO Business Intelligence

SEPTEMBER 2, 2022

The average salary for a financial software engineer is $116,670 per year, with a reported salary range of $85,000 to $177,000 per year, according to data from Glassdoor. Full-stack software engineers are essentially high-level software engineers who are focused on designing, testing, and implementing software applications.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

The average salary for a financial software engineer is $116,670 per year, with a reported salary range of $85,000 to $177,000 per year, according to data from Glassdoor. Full-stack software engineers are essentially high-level software engineers who are focused on designing, testing, and implementing software applications.

Finance 98

Finance IT Software Reporting 98

DataRobot

OCTOBER 20, 2021

Data literacy ensures that diverse perspectives are baked into AI governance and leads to the production of AI systems that achieve better and more consistent outcomes. It is a key component of developing responsible AI, and promotes trust not only in AI concepts but also in individual AI models. What Is Data Literacy?

Machine Learning 52

Machine Learning Metrics Risk Deep Learning 52

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Testing out a new feature.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Juice Analytics

MARCH 30, 2021

To bridge the gap between data and an audience, the data author has a complex job. The author must decide what data is most important to focus on to answer the questions at hand, and how to optimally harness and depict data to inform thinking and action. Effective communication with data is a rare skillset.

Cost-Benefit 131

Cost-Benefit Statistics Metrics Dashboards 131

CIO Business Intelligence

FEBRUARY 13, 2023

Larger is Better involves a “lower specification limit,” such as test scores — where the target is 100%. Measure performance of the current process by establishing a data collection plan to determine defects and gather metrics. Improve the process by eliminating root causes of defects through innovative solutions.

Management 74

Management Statistics Manufacturing Measurement 74

CIO Business Intelligence

MARCH 24, 2023

It encompasses the people, processes, and technologies required to manage and protect data assets. The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.”

Data Governance 142

Data Governance Management Metadata Data Quality 142

Insight

JANUARY 14, 2020

a “pre-trained” model) to be recycled and reused for many different tasks. In short, I was faced with two major difficulties regarding data collection: I didn’t have nearly enough images, and the images I did have were not representative of a realistic gym environment. We pass 3 parameters: loss, optimizer , and metrics.

Metrics 58

Metrics Optimization Modeling Testing 58

Domino Data Lab

OCTOBER 2, 2019

This article covers causal relationships and includes a chapter excerpt from the book Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications by Andrew Kelleher and Adam Kelleher. The case that might be familiar to you is an AB test. You can use a regression model. Introduction.

Machine Learning 68

Machine Learning Measurement Modeling Testing 68

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. In this model, the Lambda function is invoked for each incoming event. This method uses GZIP compression to optimize storage consumption and query performance.

Analytics 94

Analytics IoT Metadata Internet of Things 94

Ontotext

APRIL 4, 2019

Within a large enterprise, there is a huge amount of data accumulated over the years – many decisions have been made and different methods have been tested. Milena Yankova : We help the BBC and the Financial Times to model the knowledge available in various documents so they can manage it. What exactly do you do for them?

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

CIO Business Intelligence

JANUARY 3, 2024

These objections often include, “But we’ve always done it this way” (resistance to change), “It works just fine as is” (accepting the status quo which may be a sub-optimal solution), “Let’s wait until post-build” (pushing things off until later), “Let’s start with the metaverse” (being distracted by shiny objects), and more.

Cost-Benefit 120

Cost-Benefit ROI Manufacturing Optimization 120

AWS Big Data

NOVEMBER 15, 2023

BMW Group uses 4,500 AWS Cloud accounts across the entire organization but is faced with the challenge of reducing unnecessary costs, optimizing spend, and having a central place to monitor costs. The ultimate goal is to raise awareness of cloud efficiency and optimize cloud utilization in a cost-effective and sustainable manner.

Dashboards 94

Dashboards Analytics Metadata Data Warehouse 94

datapine

SEPTEMBER 1, 2020

Your Chance: Want to test a market research reporting software? An effective modern means of extracting real value from your research results such as brand analysis, market research reports present and arrange data in a way that is digestible and logical in equal measures through professional online reporting software and tools.

Reporting 247

Reporting Marketing KPI Dashboards 247

O'Reilly on Data

MAY 14, 2020

Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model. In reality, many candidate models (frequently hundreds or even thousands) are created during the development process. Modelling: The model is often misconstrued as the most important component of an AI product.

Management 363

Management Experimentation B2B Machine Learning 363

AWS Big Data

JULY 3, 2023

Backtesting is a process used in quantitative finance to evaluate trading strategies using historical data. This helps traders determine the potential profitability of a strategy and identify any risks associated with it, enabling them to optimize it for better performance. Load the dataset into Amazon S3.

Snapshot 82

Snapshot Data Lake Testing Strategy 82

CIO Business Intelligence

APRIL 28, 2024

We believe that the wireless private network is the optimal solution when wireless spectrum resources are available. communication reliability, which supports minute-level data collection and second-level control for low-voltage transparency. The customer’s operation model has changed from passive response to proactive service.

Interactive 70

Interactive Uncertainty Data Collection IoT 70

CIO Business Intelligence

MAY 26, 2022

Is there a model that can provide the necessary results? But the tools that data scientists use to create these proofs of concept often don’t translate well into production systems. As a result, it can take more than nine months on average to deploy an AI or ML solution, according to IDC data. “We How can it be built?

Machine Learning 140

Machine Learning Modeling Data-driven Dashboards 140

Domino Data Lab

MAY 8, 2019

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Introduction. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105