BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. By 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance. Uncertain economic conditions. Source: Gartner Research).

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Acquired by DataRobot June 2019).

Testing 300

Testing Machine Learning Consulting Data Quality 300

AWS Big Data

MAY 17, 2023

In 2020, as gyms shuttered and people looked for ways to stay active from the safety of their homes, the company’s annual revenue soared from $915 million in 2019 to $4 billion in 2021. Meanwhile, the company’s subscribers jumped from around 360,000 in 2019 to 2.76 million at the end of 2022.

Data Warehouse 113

Data Warehouse Cost-Benefit Sales Data-driven 113

Rita Sallam

AUGUST 28, 2022

Last week, we ran the Analytics and BI Bake-off at the Data and Analytics Summit in Orlando with 5,500 of our closest D&A friends! These were our first in-person Data & Analytics Summits since 2019. It takes a fair bit of preparation, extreme commitment, and an ability to shine under pressure.

Analytics 52

Analytics Data Analytics Cost-Benefit Measurement 52

DataKitchen

APRIL 28, 2021

Forrester relates that out of 25,000 reports published by the firm last year, the report on data fabrics and DataOps ranked in the top ten for downloads in 2020. Gartner included data fabrics in their top ten trends for data and analytics in 2019. From an industry perspective, the topic of data fabrics is on fire.

Statistics 246

Statistics Optimization Technology Data Analytics 246

Sisense

MARCH 6, 2019

The presenter gave an example of research that was done where an AI model was trained to predict personality traits based on Facebook-like behavior. Turns out, that by showing an AI model 10 things a person liked on Facebook, it can outperform that person’s colleagues in predicting personality traits.

Data Analytics 75

Data Analytics Analytics Experimentation Data-driven 75

O'Reilly on Data

FEBRUARY 4, 2019

In practice this means developing a coherent strategy for integrating artificial intelligence (AI), big data, and cloud components, and specifically investing in foundational technologies needed to sustain the sensible use of data, analytics, and machine learning. Machine Learning model lifecycle management.

Machine Learning 276

Machine Learning Enterprise IoT Big Data 276

CIO Business Intelligence

JULY 5, 2022

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. What are the benefits of business analytics? What is the difference between business analytics and data analytics?

Business Analytics 131

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 131

CIO Business Intelligence

OCTOBER 5, 2023

As the pace of innovation speeds up, tomorrow’s front runners are those who readily embrace disruptive technologies to spearhead new business models and capture new avenues of growth. At the same time, the influx of new technologies and new business models is introducing myriad vulnerabilities and expanding the threat surface area.

Technology 121

Technology Digital Transformation Data-driven Modeling 121

datapine

DECEMBER 11, 2019

SaaS is a software distribution model that offers a lot of agility and cost-effectiveness for companies, which is why it’s such a reliable option for numerous business models and industries. 2019 was a breakthrough year for the SaaS world in many ways. Instead, they have the option of utilizing various pricing structures.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

CIO Business Intelligence

SEPTEMBER 10, 2022

Like many insights-driven organizations, the United States Patent and Trademark Office (USPTO) leverages data analytics and technologies such as AI and machine learning (ML) to increase the efficiency and performance of its operations and to improve the quality of systems and processes.

Data-driven 111

Data-driven Machine Learning ROI Modeling 111

Smart Data Collective

JUNE 3, 2021

The market for data analytics in the insurance sector is projected to be worth nearly $22.5 Many of the applications of big data for insurance companies will be realized with machine learning technology. Claims management : Data analytics and machine learning are particularly helpful with insurance claims management.

Insurance 98

Insurance Machine Learning Cost-Benefit Risk 98

Domino Data Lab

JUNE 2, 2019

If you lead a data science team/org, DM me and I’ll send you an invite to data-head.slack.com ”. We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

CIO Business Intelligence

SEPTEMBER 2, 2022

Anupam Khare: We started this journey into data analytics and AI in 2019 and it has become very pervasive within the organization. I think we were always a data-driven organization, but what we are doing through AI and analytics is creating a rich data- and decision-making culture.

Uncertainty 93

Uncertainty Manufacturing Data-driven Business Intelligence 93

CIO Business Intelligence

SEPTEMBER 2, 2022

Anupam Khare: We started this journey into data analytics and AI in 2019 and it has become very pervasive within the organization. I think we were always a data-driven organization, but what we are doing through AI and analytics is creating a rich data- and decision-making culture.

Uncertainty 93

Uncertainty Manufacturing Data-driven Business Intelligence 93

Cloudera

FEBRUARY 8, 2021

billion in 2019, and is projected to reach $225.16 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. from 2020 to 2027.

Machine Learning 108

Machine Learning Manufacturing Unstructured Data Modeling 108

CIO Business Intelligence

AUGUST 19, 2022

Our agents sell to small, medium, large businesses at their work site and now there was no work site,” says Gilbert, who signed on as CIO at Aflac in 2019. “So So we had to kind of rethink and reimagine our whole model of engaging with policyholders or potential policyholders.”. For these companies had to transform to survive.”.

Insurance 96

Insurance Digital Transformation Data Processing Machine Learning 96

Andrew White

JANUARY 11, 2021

Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role. Note: Delivery of data, analytics solutions and the sustainment of technology, data and services is a question. Governance. Architecture.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

datapine

DECEMBER 4, 2019

The commercial use of predictive analytics is a relatively new thing. The accuracy of the predictions depends on the data used to create the model. For instance, if a model is created based on the factors inherent at one company, it doesn’t necessarily apply at a second company. Mobile Analytics.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

O'Reilly on Data

SEPTEMBER 11, 2019

For nearly a decade, it’s provided a venue for developers, data and ML engineers, data architects, data scientists, and others to acquire or hone skills, explore provocative ideas, and network with peers. 2 in frequency in proposal topics; a related term, “models,” is No. An ML-related topic, “models,” was No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

CIO Business Intelligence

AUGUST 2, 2022

Data analytics and business intelligence are critical to every business, but especially important in the energy industry, as information is channeled from consumers and commercial clients related to usage that feeds into AES’ sustainability and services planning. The second is the data quality in our legacy systems. That’s one.

Data Quality 84

Data Quality Digital Transformation Machine Learning Predictive Analytics 84

CIO Business Intelligence

NOVEMBER 27, 2023

Roughly 26% of tech jobs in the US are held by women, a decrease from about 33% in 2019, according to CompTIA’s 2023 State of the Tech Workforce report. If your business model can support it, it’s helpful to offer tuition and certification reimbursement, apprenticeships, and increased training opportunities.

Technology 92

Technology Forecasting Data Science Reporting 92

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 327

Management Machine Learning Experimentation Metrics 327

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

APRIL 28, 2022

Right from the start, auxmoney leveraged cloud-enabled analytics for its unique risk models and digital processes to further its mission. Particularly in Asia Pacific , revenues for big data and analytics solutions providers hit US$22.6bn in 2020 , with financial services companies ranking among their biggest clients.

Analytics 90

Analytics Insurance Big Data Uncertainty 90

Corinium

JUNE 6, 2019

In summary, Insurance carriers and brokers will need to ensure a sound data foundation and a smart use of the cloud to harness the value of the large amounts of disparate types of data. Analytics is a powerful capability enabler to help Insurers transform their operations and services. What differentiates Fractal Analytics?

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Smart Data Collective

NOVEMBER 12, 2021

Big data technology has been instrumental in changing the direction of countless industries. Companies have found that data analytics and machine learning can help them in numerous ways. You should use big data to improve your outsourcing models by data mining pools of talented employees.

Data-driven 103

Data-driven Cost-Benefit Data mining Big Data 103

CIO Business Intelligence

JUNE 7, 2022

Those numbers represent the projected growth of chatbot interactions among banking customers between 2019 to 2023 and the cost savings from 862 hours less of work by support personnel, according to research by Juniper Research. Intel® Technologies Move Analytics Forward. billion globally over a five-year period, it gets noticed.

Unstructured Data 92

Unstructured Data Deep Learning Insurance Interactive 92

Smart Data Collective

JANUARY 14, 2021

In 2019, Forbes published an article showing that machine learning can increase productivity of the financial services industry by $140 billion. Here are some ways that predictive analytics can be useful for investors looking to get in on an IPO. Unfortunately, these models only offer so much value in the real world.

Predictive Analytics 81

Predictive Analytics Forecasting Analytics Machine Learning 81

Andrew White

MAY 4, 2020

As a result, Data, Analytics and AI are in even greater demand. However, the AI, data and analytics of 2020 are a quite different to what was being adopted or sought just 6 months ago in 2019, Somethings in D&A have changed completely; somethings not prioritized before are now required. Everything Changes.

Uncertainty 90

Uncertainty Data Quality Consulting Predictive Modeling 90

erwin

JANUARY 30, 2020

The results of our new research show that organizations are still trying to master data governance, including adjusting their strategies to address changing priorities and overcoming challenges related to data discovery, preparation, quality and traceability. And close to 50 percent have deployed data catalogs and business glossaries.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

Ontotext

JUNE 10, 2021

And yeah, the real-world relationships among the entities represented in the data had to be fudged a bit to fit in the counterintuitive model of tabular data, but, in trade, you get reliability and speed. They create reliable, consistent and communicable models for representing data. Schemas are powerful.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

CIO Business Intelligence

FEBRUARY 17, 2023

But the federated business model makes defining a single technology strategy difficult to articulate, says Seeripat, meaning that the IT team instead works to a broad set of business themes, such as facilitating business growth, creating scalable platforms, and developing a technology-capable team and learning culture.

IT 105

IT Manufacturing Finance Sales 105

Smart Data Collective

NOVEMBER 9, 2021

The average consumer is unaware of the phenomenal benefits that big data provides. One of the biggest benefits of big data is that it can help improve driver safety. Data analytics technology is becoming more useful when it comes to stopping traffic accidents.

Big Data 131

Big Data Manufacturing Risk Insurance 131

AWS Big Data

APRIL 26, 2023

Additionally, this forecasting system needs to provide data enrichment steps including byproducts, serve as the master data around the semiconductor management, and enable further use cases at the BMW Group. To enable this use case, we used the BMW Group’s cloud-native data platform called the Cloud Data Hub.

Forecasting 124

Forecasting Manufacturing Data Lake Big Data 124

Smart Data Collective

NOVEMBER 18, 2020

The Data Scientist profession today is often considered to be one of the most promising and lucrative. The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Where to Use Data Mining? Data Mining Techniques and Data Visualization.

Data mining 143

Data mining Data Science Informatics Statistics 143

Sisense

AUGUST 19, 2020

Disrupting Markets is your window into how companies have digitally transformed their businesses, shaken up their industries, and even changed the world through the use of data and analytics. The use of big data analytics and cloud computing has spiked phenomenally during the last decade.

Big Data 52

Big Data Machine Learning Digital Transformation Marketing 52