Rocket-Powered Data Science

MARCH 10, 2020

I present here a short excerpt from my contribution to the book. “Shocking Amount of Data” An excerpt from my chapter in the book: “We are fully engulfed in the era of massive data collection. From those presently perceived patterns, AI then produces an output (decision and/or action).

Data Collection 248

Data Collection Digital Transformation Big Data Forecasting 248

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 78

Data Collection Big Data Statistics Software 78

Smart Data Collective

DECEMBER 15, 2022

Business data is a broad field that, like every other type of data , is statistics about the business. Analytical insights are formed based on this data through a few simple steps. Data Collection. Data analytics is the simplest way of transforming a large group of figures simply and understandably.

Analytics 120

Analytics Visualization Data Collection Statistics 120

Juice Analytics

MARCH 26, 2019

Hilburn's Law of Data Intentionality identifies the existence of a positive correlation between the intentionality of data collection and and the intentionality of data communication [citation needed]. The following diagram represents this relationship between intentional data collection and intentional data presentation.

Data Collection 67

Data Collection Dashboards Consulting Measurement 67

Smart Data Collective

MAY 16, 2022

Data management systems provide a systematic approach to information storage and retrieval and help in streamlining the process of data collection, analysis, reporting, and dissemination. It also helps in providing visibility to data and thus enables the users to make informed decisions.

Management 129

Management Data mining Data Warehouse Data Collection 129

datapine

AUGUST 12, 2020

The different sets of visual representations of data can clearly point out specific trends or actions that need to be taken in order to stay on the financial track of a company. Not to be limited just to these data, you can always customize and make sample business reports for your specific needs. Why You Need Business Reports?

Reporting 297

Reporting Dashboards Visualization Cost-Benefit 297

CIO Business Intelligence

OCTOBER 24, 2023

Understanding GenAI and security GenAI refers to the next evolution of AI technologies: ones that learn from massive amounts of data how to generate new code, text, and images from conversational interfaces. Each generation of tools presents its own set of security challenges. This raises legal and ethical implications.

Risk 119

Risk Recreation/Entertainment Data Collection Data Processing 119

CIO Business Intelligence

JUNE 13, 2024

Data analysts seek to describe the current state of reality for their organizations by translating data into information accessible to the business. They collect, analyze, and report on data to meet business needs. The difference between data analysts and data scientists comes down to timescale.

Data-driven 96

Data-driven Statistics Business Intelligence Reporting 96

datapine

JULY 8, 2020

We won’t delve into details about the career prospects of this C-level position but we will present COO dashboards and reports that are critical for helping chief operating officers across the world to effectively manage their time, company, operational processes, and results. And present COO dashboard examples and templates.

Dashboards 202

Dashboards Reporting Metrics Visualization 202

Smart Data Collective

JANUARY 10, 2023

That’s why you need to find a way to train the data that will make it work as you need. Today there are various tools that rely on ML and AI technologies which help them to understand the received data and further present them in a convenient format. Proceed to data analysis. Final word.

IoT 114

IoT Business Intelligence Visualization Internet of Things 114

Smart Data Collective

MAY 29, 2023

Understanding Bias in AI Translation Bias in AI translation refers to the distortion or favoritism present in the output results of machine translation systems. This bias can emerge due to multiple factors, such as the training data, algorithmic design, and human influence. AI translation models must collect and annotate data fairly.

Metrics 68

Metrics Measurement Data Collection Strategy 68

Smart Data Collective

MARCH 24, 2020

The relationship between performance parameters and factors for predicting performance is involved in complex nonlinear relationships, so the areas of data collection should be comprehensive. A selection of information sources, data acquisition procedures, information processing algorithms. Data collection.

Big Data 100

Big Data Internet Publishing and Broadcasting Broadcasting Data Collection 100

Jen Stirrup

APRIL 16, 2024

The Green Hydrogen Summit, hosted in Abu Dhabi by Masdar, kicked off this year with a significant focus on Artificial Intelligence and data to advance the green hydrogen economy for a sustainable energy transition. There is a significant focus on Artificial Intelligence and data and its potential. Let’s keep momentum going!

Data Processing 59

Data Processing Data-driven Optimization Forecasting 59

CIO Business Intelligence

OCTOBER 20, 2022

The staggering opportunities Asia’s burgeoning digital economy presents are reason enough to spur you into rethinking the way you do business. Access to real-time data relies on instantaneous communication with all your IT assets, the data from which enable your teams to make better-informed decisions.

Risk 103

Risk Insurance Digital Transformation Software 103

datapine

JANUARY 6, 2022

While there are several different types of processes that are implemented based on individual data nature, the two broadest and most common categories are “quantitative analysis” and “qualitative analysis”. There are various data interpretation methods one can use. agree, strongly agree, disagree, etc.). What is the keyword?

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Cloudera

JANUARY 20, 2021

The data journey is not linear, but it is an infinite loop data lifecycle – initiating at the edge, weaving through a data platform, and resulting in business imperative insights applied to real business-critical problems that result in new data-led initiatives. Data Collection Challenge. Factory ID.

Digital Transformation 108

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 108

Smart Data Collective

OCTOBER 13, 2021

A growing number of screenwriters are discovering the wonders of big data. Fast Company wrote about this back in 2013 when they said that Big Data is Rewriting Hollywood Scripts. This can be where big data comes in. You need to step up your presentation by using these investor pitch deck examples ! But don’t sweat it.

Data-driven 109

Data-driven Big Data Recreation/Entertainment Data Analytics 109

CIO Business Intelligence

AUGUST 18, 2023

Defined as quantifiable and objective behavioral and physiological data collected and measured by digital devices such as implantables, wearables, ingestibles, or portables, digital biomarkers enable pharmaceutical companies to conduct studies remotely without the need for a physical site.

Measurement 98

Measurement Data Quality Visualization Data Collection 98

Cloudera

JUNE 2, 2022

Some of the more popular viral blogs and LinkedIn posts describe it as the following: A few observations on the modern stack diagram: Note the number of different boxes that are present. In the modern data stack, there is a diverse set of destinations where data needs to be delivered. This presents a unique set of challenges.

Enterprise 103

Enterprise Data Lake Data Collection Data-driven 103

FineReport

AUGUST 14, 2020

Based on the process from data to knowledge, a standard reporting system’s functional architecture is shown below. It is composed of three functional parts: the underlying data, data analysis, and data presentation. The data layer of FineReport supports multiple data sources and data integration. .

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

Rocket-Powered Data Science

JUNE 17, 2022

What I missed in-person was more than compensated for by the incredible online presentations by Splunk leaders, developers, and customers. Reference ] Splunk Observability Cloud’s Federated Search capability activates search and analytics regardless of where your data lives — on-site, in the cloud, or from a third party.

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

Depict Data Studio

MAY 8, 2023

I call them deep dives because they focus just on reports, or dashboards, or presentations. You’ll need to have your graphs created and edited first (skills taught in previous classes) so they can feed into those reports, dashboards, and presentations. Three classes are advanced, sort of. ” – Lynn Davey, Ph.D,

Dashboards 52

Dashboards Visualization Reporting Interactive 52

CIO Business Intelligence

MARCH 21, 2022

Data scientists are often engaged in long-term research and prediction, while data analysts seek to support business leaders in making tactical decisions through reporting and ad hoc queries aimed at describing the current state of reality for their organizations based on present and historical data.

Unstructured Data 136

Unstructured Data Data Analytics Analytics Data Science 136

Smart Data Collective

NOVEMBER 24, 2020

Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. Privacy violations and unauthorized use of data may pose serious hazards to businesses. Access to Essential Information. Increase in ROI.

Business Intelligence 133

Business Intelligence Visualization Dashboards Prescriptive Analytics 133

CIO Business Intelligence

SEPTEMBER 8, 2022

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. The ability to pivot quickly to address rapidly changing customer or market demands is driving the need for real-time data.

Cost-Benefit 119

Cost-Benefit Internet of Things Data-driven Data Lake 119

DataKitchen

JUNE 21, 2024

As you emerge from the immediate fire-fighting phase, blinking in the sunlight of slightly less terrible data quality, it’s time to think long-term. This is where you channel your inner data quality guru and build consensus for sustainable solutions. ” A data quality crisis can be pivotal for a data engineering team.

Data Quality 133

Data Quality Measurement Metrics Data Collection 133

CIO Business Intelligence

MAY 16, 2023

Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data. Regulation: Lawmakers worldwide are considering privacy legislation and other rules that could limit the scope of data collection and AI use cases.

Advertising 98

Advertising Recreation/Entertainment Experimentation Enterprise 98

CIO Business Intelligence

OCTOBER 2, 2024

Setting the course: The importance of clear goals when evaluating data and analytics enablement platforms Improving credit decisioning for financial institutions Say you’re a bank looking to leverage the tremendous growth in small business through lending. That’s a big lift, both in terms of operational expense and regulatory exposure.

Analytics 108

Analytics Unstructured Data Interactive Data Governance 108

FineReport

SEPTEMBER 3, 2020

However, with the growing amount of data from many sources, the pain points of using Excel are more and more apparent. For example, data collection is time-consuming, and the data from scattered business systems can not be integrated. Presentation Tier. The presentation tier is at the top level of the application.

Reporting 95

Reporting Dashboards Visualization Data Warehouse 95

Jet Global

AUGUST 23, 2021

Manage data from diverse systems. Data quality is a central point for producing quality reports that can be used effectively in decision-making. Besides simply presenting data, the audience must understand what the figures mean and see the trends. There is therefore plenty of scope for improvement to minimize errors.

Finance 52

Finance Data Collection Reporting Data Quality 52

IBM Big Data Hub

MARCH 27, 2024

Some companies attempt to estimate Scope 3 emissions by collecting data from suppliers and manually categorizing data, but progress is hindered by challenges such as large supplier base, depth of supply chains, complex data collection processes and substantial resource requirements.

Experimentation 73

Experimentation Deep Learning Modeling Data-driven 73

CIO Business Intelligence

JULY 3, 2023

Applying the SynthAI approach to better managing a firm’s data assets is a natural evolution of this next stage in the AI revolution. Consulting firm BCG has adopted this approach to 50 years worth of their archives, largely reports, presentations and data collected from surveys and client engagements.

Management 105

Management Experimentation Modeling Enterprise 105

CIO Business Intelligence

JANUARY 25, 2023

Retiring redundant toolsets and establishing one source of truth for data collection and correlation across multi-vendor technologies. million over three years, resulting in a net present value (NPV) of $4.2 Instituting advanced capacity planning and insights into how bandwidth consumption affects user experiences.

IT 93

IT Cost-Benefit ROI Software 93

FineReport

MAY 18, 2024

The significance of data visualization lies in its ability to unveil patterns, trends, and correlations that might otherwise remain hidden within raw data. Benefits of Data Visualization Enhanced Decision-Making : By presenting data visually, individuals can quickly grasp insights and make informed decisions.

Visualization 52

Visualization Interactive Cost-Benefit Dashboards 52

Ontotext

MAY 5, 2023

In this post, we present several of the key benefits they offer and support them with case studies of Ontotext clients and other examples. Knowledge Representation In the context of the Financial Services Industry domain, the most popular examples of such data are entity (Who?)

Data Collection 64

Data Collection Risk Data-driven Interactive 64

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

Rocket-Powered Data Science

MAY 21, 2024

To see this, look no further than Pure Storage , whose core mission is to “ empower innovators by simplifying how people consume and interact with data.” In a specific case [presented at GTC], the raw data consisted of a large collection of public documents, typical of a public or private document repository used for RAG.” (b

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239