CIO Business Intelligence

MAY 31, 2022

These new, digitally enhanced worlds, realities, and business models are poised to revolutionize both life and enterprise in the next decade, as explored in Accenture’s recent Technology Vision 2022 report. Here are five implications these technologies will have on security and privacy as we build our collective future. .

Technology 116

Technology Experimentation Interactive IoT 116

IBM Big Data Hub

FEBRUARY 7, 2024

2 For example, some are turning to software solutions that can more easily capture, manage and report ESG data. Circular economy: When waste is a resource Waste not, want not: the circular economy model, which aims to minimize unnecessary waste and make the most of resources, is booming. trillion in economic benefits by 2030.

Reporting 99

Reporting Cost-Benefit Internet of Things Data-driven 99

DataRobot

AUGUST 16, 2021

But as the technology’s popularity grows, a number of concerning examples have emerged of AI models operating with algorithmic bias. Algorithmic bias can appear in both supervised and unsupervised AI models. GPT-3 had learned from gigabytes of unlabeled text and could produce highly convincing text.

Metrics 98

Metrics Modeling Machine Learning Data Collection 98

CIO Business Intelligence

JANUARY 9, 2023

What they found—an innovative way to model healthcare data—is saving the company an estimated $150M annually and enabling its medical professionals to provide accurate and effective care path recommendations in real time. Graphs can make previously unavailable connections from disparate data spread across many different platforms.

Analytics 100

Analytics Cost-Benefit Visualization Risk 100

Cloudera

FEBRUARY 8, 2021

from 2020 to 2027. The goal is to define, implement and offer a data lifecycle platform enabling and optimizing future connected and autonomous vehicle systems that would train connected vehicle AI/ML models faster with higher accuracy and delivering a lower cost. billion in 2019, and is projected to reach $225.16

Machine Learning 105

Machine Learning Manufacturing Unstructured Data Modeling 105

Depict Data Studio

JULY 28, 2020

Vivian and I are both members of the same Facebook group (a community for everyone taking data visualization training with me). The topic was school reopening plans for the 2020-2021 academic year. Vivian and her colleagues had collected surveys from parents and teachers to gauge their opinions. The Reporting Model.

Visualization 102

Visualization Reporting Modeling Statistics 102

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

Rocket-Powered Data Science

JULY 6, 2021

The year 2020 was remarkably different in many ways from previous years. In at least one way, it was not different, and that was in the continued development of innovations that are inspired by data. This steady march of data-driven innovation has been a consistent characteristic of each year for at least the past decade.

Machine Learning 279

Machine Learning Data-driven IoT Deep Learning 279

Smart Data Collective

NOVEMBER 24, 2020

In this article, you’ll discover: upcoming trends in business intelligence what benefits will BI provide for businesses in 2020 and on? The strategic decision-making in the future of business intelligence will be shaped by faster reports, deeper data insights, broader areas of data collection. Identify Opportunities.

Business Intelligence 131

Business Intelligence Visualization Dashboards Prescriptive Analytics 131

CIO Business Intelligence

MARCH 21, 2022

A data analyst might help an organization better understand how its customers use its product in the present moment, whereas a data scientist might use insights generated from that data analysis to help design a new product that anticipates future customer needs. Data scientist salary.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Structured Data 137

Cloudera

AUGUST 12, 2021

Collecting workforce data as a tool for talent management. A data-driven approach to talent management and development brings about greater transparency, reduced attrition and more effective training and enablement. These models are then used for anomaly detection or inferences about what will happen. . Risk Management.

Data-driven 107

Data-driven Manufacturing Insurance Risk Management 107

CIO Business Intelligence

JULY 6, 2023

Data collected from more than 1,000 survey respondents indicates that IT leaders have come to realize there is simply no one environment that works best for all applications. By 2020, that number had dropped to about one-fourth of respondents. And today, only 48% of survey respondents said they have any apps in the cloud at all.

IT 52

IT Data Processing Strategy Data Collection 52

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. 2021 is an extension of the uncertain times of 2020.

Cost-Benefit 138

Cost-Benefit IoT Internet of Things Data-driven 138

Jet Global

AUGUST 19, 2020

August 19, 2020 – insightsoftware, a global provider of enterprise software solutions for the Office of the CFO, has been named an Industry Excellence Award winner for enterprise performance management (EPM) leadership by Dresner Advisory Services, an independent analyst firm focused on business intelligence and related areas. RALEIGH, N.C.

Enterprise 52

Enterprise Management Business Intelligence Digital Transformation 52

O'Reilly on Data

MARCH 18, 2020

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines.

Enterprise 311

Enterprise Deep Learning Data Governance Risk 311

IBM Big Data Hub

AUGUST 7, 2023

Research conducted by the Tufts Center for Study of Drug Development and presented in 2020 found that 23% of trials fail to achieve planned recruitment timelines 1 ; four years later, many of IBM’s clients still share the same struggle. To do so they require data, which is in no shortage.

Optimization 60

Optimization Forecasting Data-driven Strategy 60

Cloudera

SEPTEMBER 23, 2021

When Data Accelerates. Researcher McKinsey noted in a 2020 report that “the need for speed (in IT) has never been greater. Organizational successes forged during the crisis need to be hardwired into the new operating model; leaders must ensure their organizations do not revert to old behaviors and processes.

Reporting 80

Reporting Metrics Sales Data Collection 80

datapine

NOVEMBER 19, 2019

In this post, we’re going to give you the 10 IT & technology buzzwords you won’t be able to avoid in 2020 so that you can stay poised to take advantage of market opportunities and new conversations alike. Get the inside scoop and learn all the new buzzwords in tech for 2020! Computer Vision. Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

Smart Data Collective

JANUARY 26, 2021

You might use predictive analysis-based data that can help you analyse buying trends or look at how the business might perform in a range of new markets. Sometimes big data models can look at which keywords and topics are trending on social media and, as translation company Tomedes points out, that can involve multiple languages.

Data Architecture 120

Data Architecture Big Data Data Strategy Data-driven 120

Smart Data Collective

SEPTEMBER 4, 2020

Google has shown how to use big data effectively for decision-making , but many other companies don’t understand the principles to follow. Far too many businesses fail to develop a sensible data strategy, so their ROI from their data collection methodologies is often subpar. Guide to Creating a Big Data Strategy.

Data-driven 87

Data-driven Big Data Metrics Strategy 87

Cloudera

AUGUST 25, 2021

Without committing to openly shared data, the New York Times asserted in February 2021, coronavirus vaccines would have taken much longer to develop. A Chinese lab announced the discovery of the virus in January 2020 and released the genome sequence to the public a few days later, enabling labs around the world to start working on vaccines.

Data-driven 86

Data-driven Machine Learning Data Collection Risk 86

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. To do this, scientists train neural networks using vast databases of existing DTI data.

Big Data 110

Big Data Machine Learning Risk Interactive 110

Smart Data Collective

NOVEMBER 18, 2020

Statistics on the US November 2020 presidential elections voter turnout in various states are already up on the platform. Another data source with ranging topics on health. Get access to data on mental health, substance use, medical devices and any other health related data you can think of. HealthData.gov.

Big Data 131

Big Data Statistics Recreation/Entertainment Finance 131

Jet Global

SEPTEMBER 1, 2020

Moving toward an automated system of data collection and collation ensures consistency across divisions and subsidiaries, enables more frequent monitoring and provides the visibility and clarity required to satisfy audits and ensure organizations are able to easily defend their transfer pricing policies.

Cost-Benefit 69

Cost-Benefit Manufacturing Risk Marketing 69

Andrew White

AUGUST 4, 2020

Of course, it could well be that the EU is really looking at the growth of multi-sided platform business models that just happen to be more effectively developed in the US. It so happens that I was reading a public document from the European Data Protection Supervisor. It was the Opinion 3/2020 on the European strategy for Data.

Data Strategy 52

Data Strategy Strategy Marketing Data Collection 52

Ontotext

AUGUST 23, 2021

In the case of California, where in 2020 extreme heat led to excessive demand and supply shortage, and ultimately to rolling blackouts, some very important things became evident. The Common Information Model – the Mother of All Electrical Standards. Thankfully, there are electrical standards governing all this exchange.

Marketing 52

Marketing Data Quality Modeling Management 52

Alation

FEBRUARY 13, 2020

Today, we’re announcing that Alation has closed a $50 million Series C funding led by Sapphire Ventures, with participation from new investor Salesforce Ventures and our existing investors Costanoa Ventures, DCVC (Data Collective), Harmony Partners and Icon Ventures.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

FineReport

MAY 9, 2020

Therefore, As long as follow the interface standards and use the same entity classes of the object model, it allows different developers to work on each layer, which can significantly improve the development speed of the system. It supports multiple data sources and data integration. . You might also be interested in….

Reporting 52

Reporting Sales Data Warehouse Software 52

Anmut

NOVEMBER 18, 2020

Much like the other approaches, a lot of this is subjective and it is incredibly hard to predict the future value of data. The decision-based valuation method is similar but has an increased degree of sophistication as it models frequency of data collection, accuracy and how fit for purpose the data is.

Cost-Benefit 52

Cost-Benefit Measurement Marketing Modeling 52

FineReport

FEBRUARY 5, 2020

Some people pay attention to functions and interaction effects, such as data collection, image and video collection, positioning, linkage and drilling on the mobile devices. However, please pay more attention to the security of mobile terminals, and mobile BI must ensure the security of corporate data.

Metadata 98

Metadata Dashboards Informatics Visualization 98

BizAcuity

MARCH 1, 2019

Azure IoT Edge will enable low-power devices to run containers and perform AI locally but retain a connection to the cloud for management and modelling. and constantly report this data to backend. At the backend, based on the data collected, data is stored in data lakes.

IoT 56

IoT Internet of Things Big Data Data-driven 56

Smart Data Collective

SEPTEMBER 6, 2020

But in 2020, it’s not enough to just be on the internet or provide a way for customers to check on orders. In 2020, you can’t rely on products and prices, you must provide a great customer experience as well. Most want a self-serve model that allows them to find all the information they need to make a purchase decision.

B2B 108

B2B Data Analytics Analytics Cost-Benefit 108

Jet Global

MAY 15, 2020

However, when you apply the discounted cash flow model, the capital cost is still not paid back after 3 years. With data collection automated, data being stored in a central location, and ERP interface, a new financial report can be created instantly. You should pick your software the same way. Instant updates.

Metrics 98

Metrics Finance Reporting KPI 98

CIO Business Intelligence

JULY 17, 2023

For instance, the data and existing models give sales and service teams opportunities to notify existing customers about the need to service their equipment before a frosty winter or imminent storm. Another model identifies customers living in bordering states who may want to purchase a power supply system. billion company.

IoT 98

IoT Digital Transformation Manufacturing Sales 98

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 145

Machine Learning Modeling Data-driven Enterprise 145

CIO Business Intelligence

MAY 28, 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 143

Machine Learning Modeling Data-driven Enterprise 143

erwin

MARCH 4, 2021

And when you talk about that question at a high level, he says, you get a very “simple answer,”– which is ‘the only thing we want to have is the right data with the right quality to the right person at the right time at the right cost.’. The Why: Data Governance Drivers. Why should companies care about data governance?

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122