IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

Jedox

APRIL 16, 2020

Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. What does your economic forecast look like for the foreseeable future? Forecast realistic outcomes.

Uncertainty 94

Uncertainty Management Forecasting Predictive Modeling 94

IBM Big Data Hub

APRIL 28, 2022

To truly understand the data fabric’s value, let’s look at a retail supply chain use case where a data scientist wants to predict product back orders so that they can maintain optimal inventory levels and prevent customer churn. Learn more about a data fabric architecture and how it can benefit your organization.

Metadata 78

Metadata Data Warehouse Forecasting Predictive Modeling 78

datapine

AUGUST 14, 2019

Big companies that utilize R in their analytics operations, such as Google, Facebook, and LinkedIn , usually are finance and analytics-driven, as R has proved to be the top mechanism for data analysis, statistics, and machine learning. Learning MATLAB is a great bonus for those who want to pursue a career in (academic) research.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

DataRobot Blog

JULY 28, 2022

Rapid advances in machine learning in recent years have begun to lower the technical hurdles to implementing AI, and various companies have begun to actively use machine learning. The accuracy of machine learning models is highly dependent on the quality of the training data.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

DataRobot Blog

AUGUST 10, 2022

Snowflake provides a state-of the-art data platform for collating and analysing workforce data, and with the combined addition of DataRobot Solution Accelerator models, trusts can have predictive models running with little experimentation — further accelerated by the wide range of supportive datasets available through the Snowflake Marketplace.

Forecasting 52

Forecasting Experimentation Data-driven Risk 52

IBM Big Data Hub

MAY 17, 2024

AI models analyze vast amounts of data quickly and accurately. They can provide valuable insights and forecasts to inform organizational decision-making in omnichannel commerce, enabling businesses to make more informed and data-driven decisions.  The applications of AI in commerce are vast and varied.

B2B 65

B2B Interactive Optimization Forecasting 65

Sisense

MARCH 7, 2021

Machine learning and predictive modeling allowed the company to use complex historical warranty claim and cost information, previous and new product attributes, and forecasting data to create a predictive data model for future warranty costs. Simple datasets just won’t cut it anymore.

Slice and Dice 98

Slice and Dice Data-driven Cost-Benefit Forecasting 98

Jedox

APRIL 16, 2020

Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. What does your economic forecast look like for the foreseeable future? Forecast realistic outcomes.

Uncertainty 52

Uncertainty Management Forecasting Predictive Modeling 52

IBM Big Data Hub

FEBRUARY 14, 2024

Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies. See what’s ahead AI can assist with forecasting.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

IBM Big Data Hub

MAY 6, 2024

Enter the age of data-driven protocol assessment: using benchmarking tools and predictive modeling to gauge protocol intricacies and forecast eligible patient numbers, which then inform protocol adjustments. Ensuring early assumptions resonate with real-world execution is paramount.

Advertising 80

Advertising Data-driven Optimization Strategy 80

Smarten

JUNE 10, 2022

Predictive Modeling to support business needs, forecast, and test theories. Cloud and Mobile Access to make business intelligence, data models and data sources accessible from anywhere. Assisted Predictive Modeling. Anomaly Monitoring and Alerts.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

IBM Big Data Hub

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning?

Machine Learning 74

Machine Learning Modeling Deep Learning Predictive Modeling 74

Sisense

SEPTEMBER 9, 2019

We fed Kraken (BigSquid’s predictive analytics engine) information about historical warranty costs, claims, forecasts, historical product attributes, and attributes of the new products on the roadmap. Then we ran Kraken’s machine learning and predictive modeling engine to get the results. Lessons Learned.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

Jedox

JULY 23, 2019

If you are still skeptical, have a look at a few blogs written by Lance Rubin where he disrupted his own role. One of the biggest challenges of automation (Robotic Process Automation) and artificial intelligence/machine learning technologies is our current mindset. Financial Modeling. Crystal ball.

Technology 52

Technology Forecasting Finance Data-driven 52

DataRobot Blog

DECEMBER 15, 2022

AI-powered Time Series Forecasting may be the most powerful aspect of machine learning available today. Working from datasets you already have, a Time Series Forecasting model can help you better understand seasonality and cyclical behavior and make future-facing decisions, such as reducing inventory or staff planning.

Forecasting 81

Forecasting Modeling ROI Machine Learning 81

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective. Our team does a lot of forecasting. It also owns Google’s internal time series forecasting platform described in an earlier blog post.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Cloudera

APRIL 11, 2023

Applied ML Prototypes (AMPs) are fully built end-to-end data science solutions that allow data scientists to go from an idea to a fully working machine learning model in a fraction of the time. AMPs provide an end-to-end framework for building, deploying, and monitoring business-ready ML applications instantly.

Forecasting 74

Forecasting Machine Learning Recreation/Entertainment Sales 74

Cloudera

SEPTEMBER 7, 2023

Open-source AI isn’t just quickly catching up to OpenAI, Google, Meta, and Microsoft : mere months after ChatGPT’s debut, open-source AI models are almost as fast, in addition to being more customizable , affordable , and transparent. There’s one more thing. Track market trends. Step up to comprehensive cybersecurity.

Insurance 85

Insurance Risk Data-driven Finance 85

datapine

MARCH 25, 2022

While some experts try to underline that BA focuses, also, on predictive modeling and advanced statistics to evaluate what will happen in the future, BI is more focused on the present moment of data, making the decision based on current insights. appeared first on BI Blog | Data Visualization & Analytics Blog | datapine.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

IBM Big Data Hub

JULY 5, 2023

It allows the company to run tests and predict performance based on simulations. With a good digital twin, it’s possible to predict how an asset will perform under certain conditions and what it’s projected lifespan will be. Read this blog post to explore how digital twins can help you optimize your asset performance.

Strategy 53

Strategy Management IoT Cost-Benefit 53

Smarten

JUNE 20, 2023

Citizen Data Scientists Can Use Assisted Predictive Modeling to Create, Share and Collaborate! Gartner has predicted that, ‘40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.’

Predictive Modeling 52

Predictive Modeling Modeling Forecasting Data Science 52

DataRobot Blog

JUNE 24, 2022

Thanks to the increasingly rapid evolution of AI and advances in machine learning, the real estate industry has a more vivid picture of future risk and opportunities across all different market segments: offices, residential, retail, logistics, hotels, OPRE and data centers. Forecasting the Real Estate Market Using DataRobot.

Forecasting 52

Forecasting Machine Learning Marketing Data-driven 52

DataRobot

JANUARY 20, 2022

The UK’s National Health Service (NHS) will be legally organized into Integrated Care Systems from April 1, 2022, and this convergence sets a mandate for an acceleration of data integration, intelligence creation, and forecasting across regions. Learn More About the Snowflake and DataRobot Partnership. Technology Alliance.

Data-driven 145

Data-driven Experimentation Modeling Predictive Modeling 145

Cloudera

JANUARY 25, 2022

DV is natively integrated with Cloudera Data Platform (CDP) , enabling self-service direct access to data from anywhere with the ability to quickly power visual data discovery and exploration across the entire analytical and machine learning lifecycle. The post It’s Time to Look Forward appeared first on Cloudera Blog.

Visualization 93

Visualization Machine Learning Predictive Analytics Data-driven 93

datapine

NOVEMBER 27, 2019

Often seen as the highest foe-friend of the human race in movies ( Skynet in Terminator, The Machines of Matrix or the Master Control Program of Tron), AI is not yet on the verge to destroy us, in spite the legit warnings of some reputed scientists and tech-entrepreneurs.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

DECEMBER 4, 2019

We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Smarten

DECEMBER 3, 2023

‘Augmented analytics is the use of enabling technologies such as machine learning and AI to assist with data preparation, insight generation and insight explanation to augment how people explore and analyze data in analytics and BI platforms.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52