IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Smarten

APRIL 10, 2023

Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Why the focus on predictive analytics? Data Scientists can create and re-purpose analytical models and focus on strategic initiatives.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

Business Over Broadway

SEPTEMBER 27, 2018

Retention marketing is about preventing your valuable customers from churning. In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Most customer data, however, are housed in separate data silos.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

DataRobot Blog

JULY 28, 2022

This article presents a case study of how DataRobot was able to achieve high accuracy and low cost by actually using techniques learned through Data Science Competitions in the process of solving a DataRobot customer’s problem. Sensor Data Analysis Examples. The Best Way to Achieve Both Accuracy and Cost Control.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

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.’ Market Changes. Access to Flexible, Intuitive Predictive Modeling. Online Target Marketing.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

CIO Business Intelligence

MAY 21, 2024

Multimodal foundation models combine multiple modes, such as text, audio, image, and video, and are capable of generating captions for images or answering questions about images, according to IDC’s Market Glance: Generative Foundation AI Models. With this model, patients get results almost 80% faster than before.

IT 121

IT Cost-Benefit Experimentation Forecasting 121

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 122

Predictive Analytics Analytics Predictive Modeling Data mining 122

IBM Big Data Hub

MAY 18, 2023

” The new Forrester Wave™ report details how IBM compares with other vendors in the AI-decisioning landscape based on current offering, strategy and market presence scores. Intelligent , helping businesses to take predictions and scores from external data science services into account and apply them to make decisions.

Reporting 87

Reporting Scorecard Predictive Modeling Machine Learning 87

CIO Business Intelligence

JUNE 7, 2022

Data analysts and others who work with analytics use a range of tools to aid them in their roles. Data analytics and data science are closely related. Data analytics is a component of data science, used to understand what an organization’s data looks like. Data analytics vs. data analysis.

Data Analytics 125

Data Analytics Diagnostic Analytics Management Analytics 125

CIO Business Intelligence

MAY 9, 2024

Collaboration also includes working with product teams on go-to-market opportunities. That includes IT, to align AI technologies with existing infrastructure; HR, on workforce development; finance, to understand funding and new business cost models; and legal and compliance, to ensure responsible use of AI.

Risk Management 131

Risk Management Risk Cost-Benefit Technology 131

DataRobot

JANUARY 13, 2022

But they often don’t have enough data scientists with the full range of domain expertise to realize its full value. Data scientists typically come equipped with skills in three key areas: mathematics and statistics, data science methods, and domain expertise.

ROI 52

ROI Machine Learning Experimentation Data Science 52

Smarten

APRIL 12, 2023

SnapShot Monitoring provides powerful data analytical features that reveal trends and anomalies and allow the enterprise to map targets and adapt to changing markets with clear, prescribed actions for continuous improvement. Smarten announces the launch of SnapShot Anomaly Monitoring Alerts for Smarten Augmented Analytics.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

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. The use of real data allows the business to better plan, adjust to the realities of the market and make real-time, confident decisions.

Predictive Modeling 76

Predictive Modeling Digital Transformation Enterprise Data Science 76

DataRobot

APRIL 27, 2021

Now this market is looking at embedding AI and machine learning together with automations to drive more end-to-end solutions and tackle those potential use cases that were once thought impossible. One topic that is of interest in this space is the term intelligent automation.

Machine Learning 98

Machine Learning Cost-Benefit Predictive Modeling Software 98

Domino Data Lab

JANUARY 11, 2021

Arming data science teams with the access and capabilities needed to establish a two-way flow of information is one critical challenge many organizations face when it comes to unlocking value from their modeling efforts. Domino Data Lab and Snowflake: Better Together. Writing data from Domino into Snowflake.

Recreation/Entertainment 103

Recreation/Entertainment Data Science Data Warehouse Modeling 103

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. This engenders an environment of productivity and reduces time-to-market with streamlined workflows and approval loops.

Digital Transformation 67

Digital Transformation Data-driven Data Science Enterprise 67

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 142

Deep Learning Machine Learning Modeling Software 142

O'Reilly on Data

JUNE 18, 2019

Since they consume a significant amount of time spent on most data science projects, we highlight these two main classes of data quality problems in this post: Data unification and integration. An important paradigm for solving both these problems is the concept of data programming. Market validation.

Machine Learning 264

Machine Learning Data Quality Statistics Modeling 264

IBM Big Data Hub

OCTOBER 16, 2023

Machine learning in marketing and sales According to Forbes , marketing and sales teams prioritize AI and ML more than any other enterprise department. Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). Many stock market transactions use ML.

Machine Learning 48

Machine Learning Marketing Forecasting Modeling 48

Juice Analytics

MARCH 11, 2021

At Juice, we’ve helped our clients launch dozens of data products that generate new revenue streams, differentiate their solutions in the market and build stronger customer relationships. In this series I’ll take you through what you need to know to design, build, launch, sell and support a data product.

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

IBM Big Data Hub

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth. What is text mining?

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

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. Full circle data experience: achieved. Lessons Learned.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

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

Smarten

NOVEMBER 8, 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.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 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

My role allows me to learn about the AI market every day: what’s new, what’s hot, and what’s possible, all while staying informed on the latest AI trends. As a result, sometimes the team doesn’t have all the necessary skills due to the rapid evolution of data science and ML technologies. How can you address this challenge?

Machine Learning 59

Machine Learning Cost-Benefit Predictive Modeling Modeling 59

CIO Business Intelligence

MAY 26, 2022

Not to mention the advanced insights and predictive modeling that should drive all major and minor decisions, as well as personalized engagement with stakeholders of all types, and so on. . All aspects of a business are dependent upon and differentiated by the sophistication of the underpinning technical capability.

Informatics 83

Informatics Manufacturing Predictive Modeling Technology 83

CIO Business Intelligence

MAY 28, 2022

Not to mention the advanced insights and predictive modeling that should drive all major and minor decisions, as well as personalized engagement with stakeholders of all types, and so on. . All aspects of a business are dependent upon and differentiated by the sophistication of the underpinning technical capability.

Informatics 79

Informatics Manufacturing Predictive Modeling Technology 79

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

Data Science and Beyond

JULY 22, 2018

I got my first data science job in 2012, the year Harvard Business Review announced data scientist to be the sexiest job of the 21st century. Two years later, I published a post on my then-favourite definition of data science , as the intersection between software engineering and statistics. But what does it mean?

Data Science 79

Data Science Machine Learning Statistics Predictive Modeling 79

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 167

Analytics Machine Learning Data Science Deep Learning 167

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. At least one of the forecast methods will have a quantitative prediction interval generated by the data scientist, so that other forecasts can be considered in the context of this range.

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 227

Modeling Machine Learning Predictive Modeling Consulting 227

Rocket-Powered Data Science

FEBRUARY 12, 2021

Consequently, as organizations everywhere are undergoing significant digital transformation, we have been witnessing increases both in the use of RPA in organizations and in the number of RPA products in the market. So, what about Intelligent Automation? IA incorporates feedback, learning, improvement, and optimization in the automation loop.

ROI 234

ROI Digital Transformation Reporting Machine Learning 234

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

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 Visualization 106

O'Reilly on Data

SEPTEMBER 19, 2023

This is the power of marketing.) But the grouping and summarizing just wasn’t exciting enough for the data addicts. 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