Smarten

NOVEMBER 23, 2023

“These tools enable data literacy and digital transformation and increase team productivity and creativity, encouraging power users and those with average technology skills to dive into analytics ad use fact-based decision-making to improve market positioning.”

Publishing 62

Publishing Marketing Analytics Predictive Modeling 62

IBM Big Data Hub

MAY 18, 2023

IBM Automation Decision Services is designed to enable organizations to combine prescriptive business rules with predictive models to help them make more informed operational decisions to improve customer experience and make organizations run more effectively.

Reporting 94

Reporting Scorecard Predictive Modeling Machine Learning 94

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. Forecasting. Classification. Hypothesis Testing. Correlation.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

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 Advanced data preparation.

Prescriptive Analytics 52

Prescriptive Analytics Predictive Modeling Digital Transformation Business Objectives 52

Cloudera

MARCH 21, 2022

Data Science tools, algorithms, and practices are rapidly evolving to solve business problems on an unprecedented scale. This makes data science one of the most exciting fields to be in. There are well-known barriers that slow down predictive modeling or application development.

Machine Learning 83

Machine Learning Predictive Modeling Data Science Testing 83

Cloudera

OCTOBER 14, 2020

By combining profound airline operation expertise, data science, and engine analytics to a predictive maintenance schedule, Lufthansa Technik can now ensure critical parts are on the ground (OTG) when needed, instead of the entire aircraft being OTG and not producing revenue.

Machine Learning 98

Machine Learning Modeling Cost-Benefit Testing 98

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.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

DataRobot Blog

JUNE 23, 2022

Most successful ML and AI projects are replacing an existing prediction with a more accurate and/or faster one. Human intuition is relied on, or an older, hand-build BI/predictive model exists, or perhaps a set of heuristics were documented that more or less predict something. Case Study.

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. For most companies, AI systems rely on large datasets, which require the expertise of data scientists to navigate.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Sisense

APRIL 10, 2020

In Talking Data , we delve into the rapidly evolving worlds of Natural Language Processing and Generation. Text data is proliferating at a staggering rate, and only advanced coding languages like Python and R will be able to pull insights out of these datasets at scale. NLP can be used on written text or speech data.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

Sisense

SEPTEMBER 9, 2019

We were most interested in exploring if it was possible to predict the return rate on a new product based on historical return rates of products with similar features. Then we ran Kraken’s machine learning and predictive modeling engine to get the results. It will be iterative.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

Smarten

APRIL 12, 2023

About Smarten The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: optimizing healthcare processes to save lives, data analysis for emergency resource management, building smarter cities with data science, using data and analytics to fight climate change, tackle the food crisis or prioritize actions against poverty, and more.

Digital Transformation 69

Digital Transformation Machine Learning Optimization Data Lake 69

DataRobot Blog

JANUARY 27, 2019

In my previous articles Predictive Model Data Prep: An Art and Science and Data Prep Essentials for Automated Machine Learning, I shared foundational data preparation tips to help you successfully. by Jen Underwood. Read More.

Machine Learning 92

Machine Learning Modeling Predictive Modeling Predictive Analytics 92

Smarten

FEBRUARY 17, 2022

Without understanding the shift in workflow, responsibilities and how the use of data will change the enterprise, it is unlikely that the business will succeed in its Citizen Data Scientist initiative.

Predictive Modeling 76

Predictive Modeling Digital Transformation Enterprise Data Science 76

Domino Data Lab

OCTOBER 7, 2020

In this blog we show what the changes in behavior of data are in high dimensions. In our next blog we discuss how we try to avoid these problems in applied data analysis of high dimensional data. Data Has Properties. Statistics developed in the last century are based on probability models (distributions).

Statistics 145

Statistics Testing Predictive Modeling Modeling 145

IBM Big Data Hub

OCTOBER 16, 2023

Foundation models can use language, vision and more to affect the real world. GPT-3, OpenAI’s language prediction model that can process and generate human-like text, is an example of a foundation model. Enable responsible, transparent and explainable data and AI workflows with watsonx.governance.

Risk 76

Risk Modeling Management Metadata 76

Cloudera

FEBRUARY 16, 2022

In the case of CDP Public Cloud, this includes virtual networking constructs and the data lake as provided by a combination of a Cloudera Shared Data Experience (SDX) and the underlying cloud storage. Each project consists of a declarative series of steps or operations that define the data science workflow.

Machine Learning 86

Machine Learning Modeling Metadata Recreation/Entertainment 86

Juice Analytics

MARCH 11, 2021

How are you going to turn that data into a solution? There are many paths to consider: Visual representations that reveal patterns in the data and make it more human readable. Predictive models to take descriptive data and attempt to tell the future. In particular, data products require more C.L.I.C.

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

Smarten

OCTOBER 4, 2023

Whether you are a business owner, a business executive or a business manager, or you just like to keep up with industry trends, you no doubt have read about the transition of business users to Citizen Data Scientists. The topic has been in industry journals and publications for years, and it is still relevant today.

Digital Transformation 67

Digital Transformation Data-driven Data Science Enterprise 67

IBM Big Data Hub

MARCH 7, 2023

The specific approach we took required the use of both AI and edge computing to create a predictive model that could process years of anonymized data to help doctors make informed decisions. We wanted to be able to help them observe and monitor the thousands of data points available to make informed decisions.

Risk 52

Risk Technology Informatics Predictive Modeling 52

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Machine Learning 49

Machine Learning Marketing Forecasting Modeling 49

Smarten

JUNE 17, 2022

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

Cloudera

JULY 18, 2018

To arrive at quality data, organizations are spending significant levels of effort on data integration, visualization, and deployment activities. Additionally, organizations are increasingly restrained due to budgetary constraints and having limited data sciences resources.

Machine Learning 52

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 52

DataRobot Blog

JUNE 3, 2022

Generative Pre-trained Transformer 3 (GPT-3) is a language model that utilizes deep-structured learning to predict human-like text. GPT-3 was created by OpenAI – a San Francisco-based artificial intelligence research laboratory – as the third-generation language prediction model in the GPT-n series. Download now.

Risk 52

Risk Predictive Modeling Modeling Technology 52

DataRobot Blog

APRIL 1, 2022

As a result, sometimes the team doesn’t have all the necessary skills due to the rapid evolution of data science and ML technologies. I think we can all agree that the demand for informed decisions from data keeps increasing, and you don’t need a predictive model to know that more challenges will arise.

Machine Learning 59

Machine Learning Cost-Benefit Predictive Modeling Modeling 59

IBM Big Data Hub

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. Text representation In this stage, you’ll assign the data numerical values so it can be processed by machine learning (ML) algorithms, which will create a predictive model from the training inputs.

Data mining 58

Data mining Machine Learning Deep Learning Marketing 58

DataRobot Blog

AUGUST 23, 2019

Using this data, we built a historical dataset containing past results, current Elo scores (both overall and surface-specific) and tournament information, then used DataRobot to determine the best model and predict the probability that a player would win a set. The US Open has begun, and the world is watching.

Predictive Modeling 52

Predictive Modeling Modeling Marketing Analytics Data Science 52

Smarten

DECEMBER 3, 2023

Adopting Augmented Analytics: How to Get Started Gartner has predicted that, in the future ‘…40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.’

Analytics 40

Analytics Data Warehouse Metrics Interactive 40

DataRobot Blog

NOVEMBER 9, 2017

I’ve spent the last 2+ years working with business analysts and MBA’s to build predictive models. We started offering a course called Data Science, Machine Learning, and AI for Executives a while back, and it’s been very successful. AI makes some people think about robotic process automation.

Machine Learning 52

Machine Learning Data-driven Software Sales 52

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. It also owns Google’s internal time series forecasting platform described in an earlier blog post. Our team does a lot of forecasting. Our team does a lot of forecasting.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

O'Reilly on Data

MARCH 20, 2019

The objective here is to brainstorm on potential security vulnerabilities and defenses in the context of popular, traditional predictive modeling systems, such as linear and tree-based models trained on static data sets. If an attacker can receive many predictions from your model API or other endpoint (website, app, etc.),

Modeling 222

Modeling Machine Learning Predictive Modeling Consulting 222

Domino Data Lab

JANUARY 21, 2021

Producing insights from raw data is a time-consuming process. Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. The Importance of Exploratory Analytics in the Data Science Lifecycle. imputation of missing values). ref: [link].

Statistics 106

Statistics Unstructured Data Data Science Predictive Modeling 106

DataRobot Blog

JANUARY 10, 2023

ML model builders spend a ton of time running multiple experiments in a data science notebook environment before moving the well-tested and robust models from those experiments to a secure, production-grade environment for general consumption. Deep Dive into DataRobot Notebooks. A host of open-source libraries.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

IBM Big Data Hub

DECEMBER 20, 2023

ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. AI studio The post Five machine learning types to know appeared first on IBM Blog. What is machine learning? Explore the watsonx.ai

Machine Learning 80

Machine Learning Modeling Deep Learning Predictive Modeling 80

Smarten

JANUARY 27, 2023

Smarten has announced the launch of Predictive Model Mark-Up Language (PMML) Integration capability for its Smarten Augmented Analytics suite of products. Simply create the predictive model, using your favorite platform, export the model as a PMML file and import that model to Smarten.

Predictive Modeling 52

Predictive Modeling Analytics Predictive Analytics Business Intelligence 52

Domino Data Lab

AUGUST 12, 2021

For data, this refinement includes doing some cleaning and manipulations that provide a better understanding of the information that we are dealing with. In a previous blog , we have covered how Pandas Profiling can supercharge the data exploration required to bring our data into a predictive modelling phase.

Machine Learning 126

Machine Learning Reporting Statistics Visualization 126