O'Reilly on Data

DECEMBER 12, 2019

Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

Smart Data Collective

MARCH 28, 2022

There are four main types of data analytics: Predictive data analytics: It is used to identify various trends, causation, and correlations. It can be further classified as statistical and predictive modeling, but the two are closely associated with each other.

Data Analytics 85

Data Analytics Software Analytics Statistics 85

Smarten

NOVEMBER 23, 2023

The Smarten Augmented Analytics suite includes Smart Data Visualization , AI and Assisted Predictive Modeling , Self-Serve Data Preparation , Natural Language Processing (NLP) and Search Analytics , SnapShot Monitoring and Alerts , and many other sophisticated features.

Publishing 62

Publishing Marketing Analytics Predictive Modeling 62

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

Risk 78

Risk Modeling Management Metadata 78

Smarten

FEBRUARY 7, 2020

Assisted Predictive Modeling: The Word ‘Assisted’ is the Key! Assisted predictive modeling! It is true that without the skills and knowledge of a data scientist or a business analyst, predictive analysis can be a daunting task. The term sounds complex and intimidating, doesn’t it? The word ‘assisted’ is the key!

Predictive Analytics 67

Predictive Analytics Predictive Modeling Analytics Software 67

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. Financial services: Develop credit risk models. from 2022 to 2028.

Predictive Analytics 142

Predictive Analytics Analytics Predictive Modeling Forecasting 142

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 121

Predictive Analytics Analytics Predictive Modeling Data mining 121

O'Reilly on Data

MAY 18, 2020

This article answers these questions, based on our combined experience as both a lawyer and a data scientist responding to cybersecurity incidents, crafting legal frameworks to manage the risks of AI, and building sophisticated interpretable models to mitigate risk. All predictive models are wrong at times?—just

Risk 359

Risk Modeling Data Processing Software 359

Smarten

MARCH 18, 2019

That world exists today with the evolution of sophisticated, yet easy-to-use tools that include predictive analytics for business users, visual analytics software and tools, and self-serve data preparation.

Predictive Analytics 40

Predictive Analytics Visualization Software Analytics 40

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. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 130

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 130

CIO Business Intelligence

OCTOBER 13, 2023

In the next six to 12 months, some of the most popular anticipated uses for gen AI include content creation (42%), data analytics (53%), software development (41%), business insight (51%), internal customer support (45%), product development (40%), security (42%), and process automation (51%).

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Smarten

MAY 29, 2023

World-renowned technology analysis firm Gartner defines the role this way, ‘A citizen data scientist is a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics. ‘If Automatic generation of models.

Prescriptive Analytics 52

Prescriptive Analytics Predictive Modeling Digital Transformation Business Objectives 52

IBM Big Data Hub

MAY 18, 2023

This report outlines the combination of traditional decision automation tools with machine learning models and other technologies. It provides a low-code environment where business experts can manage decision automation projects and apply their knowledge to model decisions without extensive coding or deep AI knowledge.

Reporting 96

Reporting Scorecard Predictive Modeling Machine Learning 96

CIO Business Intelligence

MAY 17, 2022

Tableau wants to make it easier for enterprise users to tell stories using their data with a set of new capabilities being added to Tableau Cloud, the new name for its software-as-a-service (SaaS) analytics platform. Tableau Cloud is available to customers today, with Data Stories and Model Builder set to be made available later in the year.

IT 96

IT Predictive Modeling Machine Learning Dashboards 96

DataKitchen

JUNE 19, 2023

Our customers start looking at the data in dashboards and models and then find many issues. Data Journeys run on software, on servers, and with code. The above image shows an example custom ‘data in use’ test of a predictive model and API. In our experience, the locus of those problems changes over time.

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

Smart Data Collective

MARCH 23, 2022

After this incident went viral on social media, Chrysler released a software patch to combat this kind of attack. The first is developing high-quality software. Software that has bugs need to be properly tested at all stages of development for both functionalities as well as cybersecurity.

IoT 111

IoT Internet of Things Testing Cost-Benefit 111

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. The benefit of these software robots is they can perform these actions faster and more consistently than people and can run 24/7.

Machine Learning 98

Machine Learning Cost-Benefit Predictive Modeling Software 98

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. Many functions of data analytics—such as making predictions—are built on machine learning algorithms and models that are developed by data scientists.

Data Science 85

Data Science Data Analytics Prescriptive Analytics Analytics 85

Smarten

MAY 13, 2022

Providing mobile access to Tally ERP allows users to leverage a familiar software solution to perform tasks and combines that access with new, value-added tools for augmented analytics.’. Is accessible as a ready-to-use software as a service (SaaS) app with no on-premises installation, development or training required.

Analytics 76

Analytics Cost-Benefit Finance Software 76

Smarten

APRIL 17, 2018

How Can Assistive Predictive Modeling Help My Business Users? If you are wondering how and why predictive analytics software has expanded into the self-serve business user market, the reason is simple. Predictive Analytics Software should be easy to implement, easy to personalize and easy to use.

Predictive Analytics 40

Predictive Analytics Predictive Modeling Analytics Forecasting 40

Smarten

APRIL 25, 2024

Artificial Intelligence (AI) and Machine Learning (ML) elements support Citizen Data Scientists and help users prepare data, achieve automated data insights and create, share and use predictive models. Guided recommendations are made based on data type, volume, dimensions, patterns and nature of data.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

Smarten

NOVEMBER 14, 2017

Leave it to the Software! Predictive Analytics for the Faint of Heart! Assisted Predictive Modeling , Predictive Analytics. They don’t want to have to try to unravel the complicated world of data analytics and be forced to choose forecasting techniques or predictive models.

Predictive Analytics 64

Predictive Analytics Analytics Predictive Modeling Forecasting 64

datapine

AUGUST 14, 2019

Business intelligence has developed into one of the most powerful solutions for companies that look for smart data analysis, predicting the future, and utilizing business intelligence software for generating actionable insights. connecting data sources and predicting future outcomes. performing backup and recovery.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning.

Data Analytics 132

Data Analytics Diagnostic Analytics Management Analytics 132

Smarten

NOVEMBER 26, 2018

With the right predictive analytics tool, your business can hypothesize, test theories, discover the effects of a possible price increase, discover and address changing buying behavior and develop appropriate competitive strategies.

Predictive Analytics 58

Predictive Analytics Predictive Modeling Analytics Forecasting 58

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

FineReport

APRIL 21, 2024

On the other hand, Software as a Service (SaaS) refers to cloud-based bi software solutions that offer on-demand access to applications over the Internet. For instance, consider a case where a sales team utilizes SaaS business intelligence software to analyze customer behavior and purchasing patterns in real-time.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

CIO Business Intelligence

MAY 26, 2022

The human resource management (HRM) market – including talent acquisition software and services – is currently valued at nearly $20 billion. Recruiting automation is a category of technology – delivered as software-as-a-service (SaaS) apps and increasingly powered by AI – that an organization can use to manage all aspects of its workforce.

Advertising 122

Advertising Machine Learning Software Measurement 122

CIO Business Intelligence

AUGUST 23, 2023

That need for complex mathematical modeling at scale makes the finance industry a perfect candidate for the promise of quantum computing, which makes (extremely) quick work of computations, including complex ones, delivering results in minutes or hours instead of weeks and months.

IT 81

IT Machine Learning Risk Optimization 81

Smarten

JUNE 17, 2022

Smarten announces the recent certification of its Smarten Augmented Analytics Software product by CERT-IN. Smarten CEO, Kartik Patel says, “The CERT-IN certification for our Smarten suite of software products is an important credential.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

CIO Business Intelligence

MAY 28, 2022

The human resource management (HRM) market – including talent acquisition software and services – is currently valued at nearly $20 billion. Recruiting automation is a category of technology – delivered as software-as-a-service (SaaS) apps and increasingly powered by AI – that an organization can use to manage all aspects of its workforce.

Advertising 114

Advertising Machine Learning Software Measurement 114

DataRobot

MARCH 2, 2021

DataRobot AI for Good is a free program that provides nonprofits with access to our software and up to six months of hands-on help from our customer success teams. With DataRobot, you can build dozens of predictive models with the push of a button and easily deploy them. Our Program.

Predictive Modeling 98

Predictive Modeling Risk Consulting Dashboards 98

CIO Business Intelligence

APRIL 22, 2022

For example, data analysts should be on board to investigate the data before presenting it to the team and to maintain data models. TensorFlow is a software library for machine learning used for training and inference of deep neural networks. Excel: Microsoft’s spreadsheet software is perhaps the most extensively used BI tool around.

Data Science 139

Data Science Statistics Machine Learning Visualization 139

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. This is like a denial-of-service (DOS) attack on your model itself.

Modeling 222

Modeling Machine Learning Predictive Modeling Consulting 222

CIO Business Intelligence

OCTOBER 12, 2023

CIOs are not going to buy software on the spot. Anyone who’s built an AI model before knows it might not be the most accurate in the beginning, and that’s the one thing the business might not be ready for. You have to have that model trained. What does the business need to be aware in terms of what is involved?

IoT 121

IoT Manufacturing Strategy Modeling 121

Smarten

APRIL 18, 2023

It is imperative that the enterprise undertake a comprehensive review of the current and desired technology landscape, to understand how the various software solutions and tools currently support the needs of the team, and where they fall short. Involving the team in these discussions is crucial.

Digital Transformation 52

Digital Transformation Predictive Modeling Data Quality Enterprise 52

Smarten

DECEMBER 17, 2018

Tools like Assisted Predictive Modeling allow the average business user to become a Citizen Data Scientist with tools that offer guidance and auto-suggestions to help the user arrive at the outcome they need without being frustrated or having to call in an army of analysts and IT staff to help them complete their analysis.

Predictive Analytics 40

Predictive Analytics Predictive Modeling Analytics Statistics 40