Rocket-Powered Data Science

JULY 7, 2019

Autonomous Vehicles: Self-driving (guided without a human), informed by data streaming from many sensors (cameras, radar, LIDAR), and makes decisions and actions based on computer vision algorithms (ML and AI models for people, things, traffic signs,…). Chatbots cannot hold long, continuing human interaction. See [link].

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

datapine

APRIL 21, 2022

For instance, when it comes to Human Resources, a digital transformation entails streamlining operations and digitizing personnel data. An accounting department may consider leveraging electronic contracts, data collecting, and reporting as a part of the digital transition. Interactivity-driven Social Marketing.

Digital Transformation 206

Digital Transformation Marketing Advertising Scorecard 206

Smart Data Collective

MAY 29, 2023

With these changes comes the challenge of understanding how to gather, manage, and make sense of the data collected in various markets. With the introduction and use of machine learning, AI tech is enabling greater efficiencies with respect to data and the insights embedded in the information.

Data Collection 76

Data Collection Big Data Statistics Software 76

CIO Business Intelligence

APRIL 1, 2022

“There is no need to pre-process data, train or hypertune machine learning models, nor load balance or manually provision your infrastructure to handle unpredictable traffic spikes. These are machine learning algorithms; the more data collected the better the results,” she said. We do it all for you automatically.”.

IT 110

IT Machine Learning Cost-Benefit Data Collection 110

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

CIO Business Intelligence

MAY 16, 2023

AI Opportunities Generative AI is the basis for sophisticated AI models such as ChatGPT and Dall-E. Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data. This helps to ensure accuracy and neutrality.

Advertising 100

Advertising Recreation/Entertainment Experimentation Enterprise 100

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 120

Cost-Benefit Internet of Things Data-driven Data Lake 120

CIO Business Intelligence

MAY 31, 2022

A more recent phenomenon, the metaverse, will transform how businesses interact with customers, how work is done, what products and services companies offer, how they make and distribute them, and how they operate their organizations. We need to learn to interact in a way that promotes trust, specifically in the metaverse.

Technology 116

Technology Experimentation Interactive IoT 116

AWS Big Data

MAY 15, 2024

Athena is an interactive query service that simplifies data analysis in Amazon Simple Storage Service (Amazon S3) using standard SQL. By extracting detailed information from CloudTrail and querying it using Athena, this solution streamlines the process of data collection, analysis, and reporting of EIP usage within an AWS account.

Snapshot 84

Snapshot Optimization Data Lake Reporting 84

Smart Data Collective

APRIL 5, 2022

This feature helps automate many parts of the data preparation and data model development process. This significantly reduces the amount of time needed to engage in data science tasks. A text analytics interface that helps derive actionable insights from unstructured data sets. Neptune.ai. Neptune.AI

Cost-Benefit 123

Cost-Benefit Machine Learning Data Science Unstructured Data 123

O'Reilly on Data

JUNE 18, 2019

There has been a significant increase in our ability to build complex AI models for predictions, classifications, and various analytics tasks, and there’s an abundance of (fairly easy-to-use) tools that allow data scientists and analysts to provision complex models within days. Data integration and cleaning.

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

Insight

MARCH 12, 2020

The AIgent was built with BERT, Google’s state-of-the-art language model. In this article, I will discuss the construction of the AIgent, from data collection to model assembly. Data Collection The AIgent leverages book synopses and book metadata. Instead, I built the AIgent. features) and metadata (i.e.

Modeling 59

Modeling Metadata Publishing Sales 59

Smart Data Collective

MARCH 28, 2021

For instance, Azure Digital Twins allows companies to create digital models of environments. These digital presentations are built from real-time data either in pure form or 3D representations. Introduction of New Business Models. The global pandemic saw a paradigm shift in the way customers interact with and use products.

Cost-Benefit 137

Cost-Benefit IoT Internet of Things Data-driven 137

Smart Data Collective

NOVEMBER 24, 2020

The strategic decision-making in the future of business intelligence will be shaped by faster reports, deeper data insights, broader areas of data collection. BI software will gauge internal data on performance, sales and marketing, social media and other sources to build actionable recommendations for your business.

Business Intelligence 130

Business Intelligence Visualization Dashboards Prescriptive Analytics 130

O'Reilly on Data

NOVEMBER 13, 2018

Considerations for a world where ML models are becoming mission critical. In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in New York last September. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations.

Machine Learning 220

Machine Learning Risk Management Statistics 220

CIO Business Intelligence

APRIL 22, 2022

For most organizations, it is employed to transform data into value in the form of improved revenue, reduced costs, business agility, improved customer experience, the development of new products, and the like. Data science gives the data collected by an organization a purpose. Data science vs. data analytics.

Data Science 139

Data Science Statistics Machine Learning Visualization 139

CIO Business Intelligence

JULY 12, 2023

P&G engineers developed a high-speed data collection system to capture data to use for training AI models. One challenge they faced is that, while production errors are extremely costly and disruptive, they don’t happen often, which means that failure events are underrepresented in the training data.

Manufacturing 98

Manufacturing Cost-Benefit Data Lake Optimization 98

DataRobot

APRIL 27, 2021

With these technologies, business users can easily build, deploy, and manage software robots that emulate humans actions interacting with digital systems and software. DataRobot delivers powerful AI and automated machine learning to accelerate the model development, deployment , and monitoring of models at scale.

Machine Learning 98

Machine Learning Cost-Benefit Predictive Modeling Software 98

Smart Data Collective

JUNE 3, 2021

In addition to its user-friendliness, Splunk is also touted for its ability to create visual representations of data (graphs, etc.) They also offer an interactive online support forum where users can help each other and also request input from Splunk employees. that can be easily digested and shared with your team.

Big Data 120

Big Data Software Finance Dashboards 120

CIO Business Intelligence

OCTOBER 4, 2022

In the new report, titled “Digital Transformation, Data Architecture, and Legacy Systems,” researchers defined a range of measures of what they summed up as “data architecture coherence.” Putting data in the hands of the people that need it. more machine learning use casesacross the company. The study results don’t surprise us.

Machine Learning 114

Machine Learning Data Architecture Uncertainty Data-driven 114

datapine

JANUARY 6, 2022

Qualitative data, as it is widely open to interpretation, must be “coded” so as to facilitate the grouping and labeling of data into identifiable themes. There are few certainties when it comes to data analysis, but you can be sure that if the research you are engaging in has no numbers involved, it is not quantitative research.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

BizAcuity

JULY 7, 2020

Across all casinos that have opened in the United States, grand tournaments and special events have been limited and buffets have been kept closed so that human interaction can be restricted. Each fragment of the business model needs to be closely observed to ensure that it is equipped with adequate depth in human resources.

Revenue Optimization 98

Revenue Optimization Measurement Interactive Marketing 98

CIO Business Intelligence

JUNE 5, 2023

Unified experiences are seamless digital interactions that rely on bridging the boundaries between different technologies, locations, teams, and things. In manufacturing and supply chain operations, a unified experience can facilitate real-time data collection, inventory management, and logistics tracking.

Internet of Things 90

Internet of Things Cost-Benefit Manufacturing IoT 90

Decision Management Solutions

JUNE 19, 2019

One of the biggest challenges for insurance carriers is that unlike for example, a financial services company, most of a carrier’s customer interactions are limited to an initial policy purchase, handling a claim, and policy renewal. A decision model is the backbone of any decision automation initiative.

Insurance 75

Insurance Consulting Predictive Analytics Interactive 75

Ontotext

DECEMBER 15, 2023

It includes only ML papers and related entities; this SPARQL query shows some statistics: papers tasks models datasets methods evaluations repos 376557 4267 24598 8322 2101 52519 153476 We can start with these repositories (most of them are on Github) and get all their topics. We can start with a connecting dataset like LinkedPapersWithCode.

Machine Learning 69

Machine Learning Interactive Deep Learning Statistics 69

Cloudera

JUNE 9, 2022

With the rapid increase of cloud services where data needs to be delivered (data lakes, lakehouses, cloud warehouses, cloud streaming systems, cloud business processes, etc.), controlling distribution while also allowing the freedom and flexibility to deliver the data to different services is more critical than ever. .

Data Collection 88

Data Collection IoT Data Lake Unstructured Data 88

Smart Data Collective

APRIL 22, 2020

Whether to help us mount a defense, adjust our personal habits or anticipate where the disease will take the heaviest toll, each of the following risk factors plays a role in analytical models : Age, location and socioeconomic status. Number and frequency of interactions with others. Social and hygiene habits. Weather and climate.

Big Data 111

Big Data Machine Learning Risk Interactive 111

Smart Data Collective

NOVEMBER 14, 2019

They have refined their data decision-making approaches to include new predictive analytics models to forecast trends and adapt to evolving customer behavior. They have developed analytics models to address looming changes in the dynamic industry. Time series models that attempt to forecast future variable behavior.

Predictive Analytics 79

Predictive Analytics Analytics Forecasting Modeling 79

CIO Business Intelligence

MARCH 23, 2022

This disruption offered organizations the opportunity to leapfrog, transforming from an outdated model to an approach that is more effective. . Can employees be provided with efficient and effective tools to interact? Data governance, ownership and validity issues rise to the surface and must be addressed.

Technology 96

Technology IoT Internet of Things Data-driven 96

datapine

MAY 2, 2023

The rise of SaaS business intelligence tools is answering that need, providing a dynamic vessel for presenting and interacting with essential insights in a way that is digestible and accessible. The future is bright for logistics companies that are willing to take advantage of big data.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

CIO Business Intelligence

SEPTEMBER 19, 2023

Financial reporting and accounting Intuit is one organization using AI to improve data analysis around financial planning for clients, with over 730 million “AI-driven consumer interactions per year, leading to 58 billion machine learning predictions per day.”

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

Ontotext

NOVEMBER 16, 2023

In a data mesh, domains are represented by a node, which can be an operational data store (ODS), a data warehouse, or a data lake tailored to the domain’s requirements. Mesh emerges when teams use other domains’ data products and the domains communicate with others in a governed manner.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

DataRobot

OCTOBER 20, 2021

Achieving that level of governance at scale requires a common understanding of AI and data concepts. Individuals interacting with AI systems should possess a baseline data literacy, especially in high-risk use cases that require human collaboration at the final decision-making stage. What Is Data Literacy?

Machine Learning 52

Machine Learning Metrics Risk Deep Learning 52

DataRobot Blog

JULY 27, 2022

In this technical post, we’ll focus on some changes we’ve made to allow custom models to operate as an algorithm on Algorithmia, while still feeding predictions, input, and other metrics back to the DataRobot MLOps platform —a true best of both worlds. Data Science Expertise Meets Scalability. Then select, Create new key.

Metrics 52

Metrics Deep Learning Modeling Machine Learning 52

Jet Global

AUGUST 19, 2020

“We’re honored to be recognized by an EPM thought leader like Dresner Advisory Services, not only for our innovative technology, but for our steadfast focus on integrity and delivering superior support and service to our customers with every interaction.”.

Enterprise 52

Enterprise Management Business Intelligence Digital Transformation 52

FineReport

MARCH 7, 2024

As we explore examples of data analysis reports and interactive report data analysis dashboards, we embark on a journey to unravel the nuanced art of transforming raw data into meaningful narratives that empower decision-makers. User Analysis If we delve into the core of big data analysis, it lies in user analysis.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

IBM Big Data Hub

JULY 26, 2023

Adequate planning, data collection, and stakeholder involvement are crucial for a successful implementation. These tools provide a centralized platform for top-down and bottom-up budgeting creation, collaboration, scenario modeling, data integration, and reporting.

Cost-Benefit 58

Cost-Benefit Optimization Visualization Data-driven 58