Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Access to Flexible, Intuitive Predictive Modeling. Competitive Changes. Market Changes. Forecasting.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

FineReport

APRIL 9, 2024

Benefits of Healthcare Business Intelligence Tools Improved Decision-Making: Healthcare BI tools enable informed decision-making by providing real-time data analysis and predictive insights. Healthcare data governance plays a pivotal role in ensuring the secure handling of patient data while complying with stringent regulations.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

CIO Business Intelligence

JUNE 7, 2022

In business analytics, this is the purview of business intelligence (BI). Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes.

Data Analytics 129

Data Analytics Diagnostic Analytics Management Analytics 129

CIO Business Intelligence

DECEMBER 11, 2023

Traditionally, the work of the CFO and the finance team was focused on protecting the company’s assets and reputation and guarding against risk. They can even optimize capital allocation decisions, such as dividend distribution versus share buy-back, by rapidly modeling multiple scenarios and market conditions.

Finance 93

Finance Forecasting IoT Predictive Modeling 93

CIO Business Intelligence

MAY 14, 2024

Private cloud platforms can leverage generative AI for anomaly detection applications in various domains, including cybersecurity, fraud detection, and predictive maintenance,” he says. Such private cloud solutions eliminate the risks of multitenancy data leakage, for example, a key CIO concern with AI. We have no choice. Semple says.

IT 139

IT Data Processing Enterprise Modeling 139

Birst BI

OCTOBER 30, 2018

A personal crystal ball that predicts your days ahead is what financial services firms everywhere want. Every day, these companies pose questions such as: Will this new client provide a good return on investment, relative to the potential risk? Is this existing client a termination risk? Will this next trade return a profit?

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

CIO Business Intelligence

AUGUST 23, 2023

To do so, they explored the optimization problem of “cardinality constraints” and developed a hybrid quantum-classical approach to financial index tracking portfolios that maximizes returns and minimizes risk. We started our models, pressed run, and had to wait until the morning and hope they hadn’t crashed overnight,” Broer says.

IT 76

IT Machine Learning Risk Optimization 76

Smarten

JUNE 28, 2018

Business Problem: A bank wants to group loan applicants into high/medium/low risk based on attributes such as loan amount, monthly installments, employment tenure, the number of times the applicant has been delinquent in other payments, annual income, debt to income ratio etc. Use Case – 1. Use Case – 2.

IT 40

IT Business Intelligence Predictive Modeling Risk 40

Smarten

JUNE 27, 2018

For example, if an outlier indicates a risk or a mistake, that outlier should be identified and the risk or mistake should be addressed. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

IT 40

IT Business Intelligence Predictive Modeling Testing 40

Smarten

DECEMBER 3, 2023

Let’s look at some of the reasons business intelligence (BI) and augmented analytics are important to your business and the benefits this type of solution can provide for your enterprise. Unscrambl highlights a few of the ways major businesses have used analytics to help improve competitive positioning and to solve problems.

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

CIO Business Intelligence

OCTOBER 5, 2023

For AI, the high-value quadrant is where you’ll find most predictive modeling. Here, partnerships can make a huge difference in both risk mitigation and improving time to market. The quadrant Davé’s team attacks next is either “high-value, low-feasibility” or “low-value, high-feasibility,” depending on their objectives.

Experimentation 121

Experimentation Strategy Machine Learning Interactive 121

CIO Business Intelligence

DECEMBER 13, 2022

We’re also doing a lot with population health management, performing more comprehensive patient assessments, managing our high-risk patients, stabilizing transitions of care, optimizing outpatient care, and really trying to call out things that help us understand disease progression.

Strategy 95

Strategy Technology Digital Transformation Data Lake 95

Smarten

JUNE 25, 2018

In order to understand how best to make use of this algorithm; let’s look at some general examples, followed by some business use cases. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists. About Smarten.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

CIO Business Intelligence

OCTOBER 12, 2023

How do you stay ahead of trends, anticipate patterns, and lean in with your partners to give your business an edge? I will say this, and this is a part of your personality profile, risk aversion right now is not a great thing. If we were not willing to take some risks, we couldn’t have done it. That’s a healthy tension.

IoT 117

IoT Manufacturing Strategy Modeling 117

Smarten

JUNE 29, 2018

Based on these labels, the bank can easily make a decision on whether to give a loan to an applicant and the credit limit and interest rate each applicant is eligible for based on the amount of risk involved. Use Case – 2.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

DataRobot Blog

JUNE 23, 2022

Your artificial intelligence (AI) system has given you this “predicted feature” in addition to what you already know about the applicant. Business rules set by the credit committee to control business risk and the loan portfolio also constrain accepting this application and advancing the loan.

Predictive Modeling 59

Predictive Modeling Modeling Data Science Measurement 59

CIO Business Intelligence

OCTOBER 13, 2023

Data scientist As companies embrace gen AI, they need data scientists to help drive better insights from customer and business data using analytics and AI. A chief AI officer is responsible for overseeing AI strategy development by navigating and overseeing the development and implementation of AI in the business.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

IBM Big Data Hub

AUGUST 28, 2023

As it pertains to social media data, text mining algorithms (and by extension, text analysis) allow businesses to extract, analyze and interpret linguistic data from comments, posts, customer reviews and other text on social media platforms and leverage those data sources to improve products, services and processes. How does text mining work?

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

Smarten

JUNE 27, 2018

Based on these labels, the bank can easily make a decision on whether to give loan to an applicant and how much credit to extend, as well as the interest rate each applicant is eligible for based on the amount of risk involved. Use Case – 2.

Business Analytics 40

Business Analytics Analytics IT Business Intelligence 40

Smarten

JUNE 29, 2018

Based on these labels, the bank can easily make a decision on whether to give a loan to an applicant and the credit limit and interest rate for each applicant, based on the amount of risk. Use Case – 2.

Enterprise 40

Enterprise Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 27, 2018

Business Benefit: The bank can decide which customer segments are eligible for any type of loan and the customer segments that should be denied any loan, as they are likely to default. In this way, the riskier customers are identified easily and bank can avert the risk of delinquencies. Use Case – 2.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

CIO Business Intelligence

APRIL 11, 2023

As we’ve seen over the last several months, irresponsible growth can lead to hiring freezes and limiting investments (at best) or mass layoffs and big risks (at worst). The problem is when a tough period hits, now you are unprepared. Hussein shared how his team is using AI to improve their operational efficiency.

Uncertainty 52

Uncertainty Predictive Modeling Risk Technology 52

CIO Business Intelligence

DECEMBER 11, 2023

While the platform’s use of AI has provided worthwhile dividends, Oeler says the firm doesn’t look at AI as a “pancea,” but rather as a tool to help solve business problems, and his team will continue to thoughtfully implement AI tools where it makes sense and can help humans be more efficient and productive.

Digital Transformation 59

Digital Transformation Predictive Modeling Management Modeling 59

DataKitchen

SEPTEMBER 21, 2023

This proactive approach to data quality guarantees that downstream analytics and business decisions are based on reliable, high-quality data, thereby mitigating the risks associated with poor data quality. There are multiple locations where problems can happen in a data and analytic system. What is Data in Use?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

Smarten

NOVEMBER 19, 2018

Predictive analytics employs various analytical and modeling techniques, leveraging historical data and business results to identify crucial relationships, opportunities and risks so that business managers can more accurately predict growth, and competitive and market changes and identify trends and patterns.

Business Objectives 40

Business Objectives Predictive Analytics Analytics Forecasting 40

Decision Management Solutions

NOVEMBER 13, 2018

One insurance client we are working with has used a decision model of their claims handling decision to identify how they will be able to use a predictive model that identifies fraud as well as a second that identifies medical wastage alongside existing policy and regulatory decision-making.

Insurance 40

Insurance Analytics Modeling Visualization 40

CIO Business Intelligence

MARCH 5, 2024

Many employees want to experiment with AI assistants like Microsoft Copilot, while CIOs are under pressure from their CEOs to realign digital transformation priorities and deliver business value with generative AI capabilities.

Cost-Benefit 114

Cost-Benefit Advertising Experimentation Software 114

O'Reilly on Data

SEPTEMBER 19, 2023

And then there was the other problem: for all the fanfare, Hadoop was really large-scale business intelligence (BI). While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.”

Machine Learning 256

Machine Learning Testing Modeling Cost-Benefit 256

CIO Business Intelligence

AUGUST 15, 2023

For an in-depth look at this project and how it has evolved, see “ CarMax drives business value with GPT-3.5.” A risk-limiting audit (RLA) is one audit type used for election verification. The tech team’s partnership with clinical teams helped build trust in the model’s accuracy and effectiveness among caregivers.

IT 92

IT Manufacturing IoT Cost-Benefit 92

CIO Business Intelligence

JUNE 22, 2022

The financial services industry has had to dedicate more resources to personalisation, fighting fraud, and reducing cloud concentration risk. Real-time access to accurate data on customers that drives machine learning models are crucial to the accuracy of predictions or recommendations they make in real time.

IoT 86

IoT IT Manufacturing Internet of Things 86

CIO Business Intelligence

MARCH 22, 2023

It is often used to train machine learning models and protect sensitive data in healthcare and finance. Synthetic data can generate large amounts of data quickly and bypass privacy risks. Limitation : While synthetic data may help train a predictive model, it only adequately covers some possible real-world data subspaces.

Machine Learning 101

Machine Learning Cost-Benefit Modeling Risk 101

Domino Data Lab

JANUARY 21, 2021

Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. Results become the basis for understanding the solution space (or, ‘the realm of the possible’) for a given modeling task. There is a risk of injecting bias. imputation of missing values).

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

Alation

APRIL 14, 2022

They strove to ramp up skills in all manner of predictive modeling, machine learning, AI, or even deep learning. These factors risk data originating in far-flung environments, where the data structures and semantics are not well understood or documented. On-premises business intelligence and databases.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Smarten

JULY 10, 2018

Use Case(s): Group loan applicants into high/medium/low risk based on attributes such as loan amount, installments, or employment tenure, organize customers into groups/segments based on similar traits, product preferences and expectations and more.

Analytics 40

Analytics Forecasting Statistics Sales 40

datapine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. 2019 was a particularly major year for the business intelligence industry. Source: Business Application Research Center *.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

DECEMBER 4, 2019

Business intelligence has undergone many changes in the last decade. Each year, we hear about buzzwords that enter the community, language, market and drive businesses and companies forward. That’s why we have prepared a list of the most prominent business intelligence buzzwords that will dominate in 2020.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

DataRobot

JANUARY 20, 2022

Specialized teams from DataRobot and Snowflake will enable ICSs to mitigate data governance and model bias risk with confidence. — Snowflake brings real-time powerful data sharing capability to the forefront, and when linked with DataRobot as an integrated platform, data modelling will become faster and at reduced overhead. .

Data-driven 145

Data-driven Experimentation Modeling Predictive Modeling 145