Rocket-Powered Data Science

FEBRUARY 12, 2021

The “Next” part of the report probes organizations’ forward-looking strategies and goals over the next one to two years. Interest in AI is high and growing, specifically in the areas of smart analytics, customer-centricity, chatbots, and predictive modeling. The average ROI from RPA/IA deployments is 250%.

ROI 234

ROI Digital Transformation Reporting Machine Learning 234

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”). Source: [link]

Analytics 167

Analytics Machine Learning Data Science Data Collection 167

DataKitchen

SEPTEMBER 21, 2023

Running these automated tests as part of your DataOps and Data Observability strategy allows for early detection of discrepancies or errors. Data in Use pertains explicitly to how data is actively employed in business intelligence tools, predictive models, visualization platforms, and even during export or reverse ETL processes.

Testing 182

Testing Data Quality Predictive Modeling Metrics 182

datapine

AUGUST 14, 2019

Companies surely need data scientists to help them empower their analytics processes, build a numbers-based strategy that will boost their bottom line, and ensure that enormous amounts of data are translated into actionable insights. connecting data sources and predicting future outcomes. perfect for statistical computing and design.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smart Data Collective

SEPTEMBER 17, 2020

Financial institutions such as banks have to adhere to such a practice, especially when laying the foundation for back-test trading strategies. There is significant competition in the industry, and emerging tactics and strategies must be accepted to survive the market competition. The Role of Big Data. Perks Associated with Big Data.

Big Data 145

Big Data Finance Risk Management Risk 145

Insight

AUGUST 5, 2020

This created a summary features matrix of 7472 recordings x 176 summary features, which was used for training emotion label prediction models. Prediction models An Exploratory Data Analysis showed improved performance was dependent on gender and emotion. up to 20% for prediction of ‘happy’ in females?

Predictive Modeling 98

Predictive Modeling Statistics Modeling Measurement 98

Occam's Razor

NOVEMBER 18, 2014

In each case the creator did something interesting that made me wonder how I can use their strategy in my daily efforts in service of digital marketing and analytics. Short story #2: Predictive Modeling, Quantifying Cost of Inaction. Short story #6: Conditional Formatting, Simple Strategies To A Drive Big Focus!

Visualization 145

Visualization Slice and Dice Predictive Modeling Metrics 145

CIO Business Intelligence

JANUARY 19, 2024

The exam covers everything from fundamental to advanced data science concepts such as big data best practices, business strategies for data, building cross-organizational support, machine learning, natural language processing, scholastic modeling, and more. and SAS Text Analytics, Time Series, Experimentation, and Optimization.

Data Science 126

Data Science Machine Learning Predictive Modeling Forecasting 126

CIO Business Intelligence

NOVEMBER 27, 2024

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

Data Architecture 128

Data Architecture Cost-Benefit Machine Learning Experimentation 128

O'Reilly on Data

DECEMBER 12, 2019

You’ve even discovered a few problems with your ML model. That’s where remediation strategies come in. We discuss seven remediation strategies below. ML models learn from data to become accurate, and ML models require data that’s truly representative of the entire problem space being modeled.

Machine Learning 226

Machine Learning Modeling Testing Risk Management 226

Occam's Razor

AUGUST 9, 2021

Might I suggest you start by looking at this prediction and then brainstorm with your Marketing team how you can overcome the shortfall in revenue! Not just using Paid strategies, but Earned and Owned as well. The Danger in Predicting the Future. You can let your imagination roam wild as to what you can do with this power.

Metrics 143

Metrics Analytics Key Performance Indicator Predictive Modeling 143

CIO Business Intelligence

OCTOBER 4, 2022

By Bryan Kirschner, Vice President, Strategy at DataStax. They identified two architectural elements for processing and delivering data: the “data platform,” which covers the sourcing, ingestion, and storage of data sets, and the “machine learning (ML) system,” which trains and productizes predictive models using input data.

Machine Learning 118

Machine Learning Data Architecture Uncertainty Data-driven 118

CIO Business Intelligence

OCTOBER 5, 2023

Davé and his team’s achievements in AI are due in large part to creating opportunities for experimentation — and ensuring those experiments align with CBRE’s business strategy. Let’s start with the models. For AI, the high-value quadrant is where you’ll find most predictive modeling.

Experimentation 130

Experimentation Strategy Machine Learning Interactive 130

Smart Data Collective

SEPTEMBER 26, 2021

Data is processed to generate information, which can be later used for creating better business strategies and increasing the company’s competitive edge. So, let’s have a close look at some of the best strategies to work with large data sets. No matter what your strategy is, try to think about the future.

Metadata 130

Metadata Visualization Unstructured Data Data mining 130

Smarten

NOVEMBER 6, 2018

This would allow an organisation to plan a workforce strategy for sales development. More criteria can be added to this model. You can find other educational resources by browsing our Augmented Analytics Videos and Augmented Analytics Learning pages.

Sales 40

Sales Predictive Modeling Modeling Strategy 40

Smart Data Collective

AUGUST 7, 2019

One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today. Apart from creating targeted marketing strategies, the information can also be used for monetization. Creating predictive models.

Data Analytics 111

Data Analytics Analytics Big Data Advertising 111

CIO Business Intelligence

MAY 9, 2024

They should lead the efforts to tie AI capabilities to data analytics and business process strategies and champion an AI-first mindset throughout the organization. For companies with a central strategy function, the CAIO will be a key partner in driving success.” Artificial Intelligence, IT Leadership

Risk Management 138

Risk Management Cost-Benefit Risk Technology 138

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. For all CIOs rethinking their cloud strategies , there are few variables that can change the equation as fast as AI.

IT 143

IT Data Processing Enterprise Modeling 143

CIO Business Intelligence

DECEMBER 11, 2023

Now, it’s time to pay for it, and that’s putting a spotlight squarely on the chief financial officer (CFO), who has increasingly become the gatekeeper deciding which projects get funded and how significantly AI will play a role in enterprise strategy. For the CFOs at the center of that transformation, the stakes are higher than ever.

Finance 105

Finance Forecasting IoT Predictive Modeling 105

CIO Business Intelligence

JULY 28, 2022

And machine learning engineers are being hired to design and build automated predictive models. I think it is very important because the algorithms this team is writing are helping our business to predict likely outcomes and make better decisions. For the rest [of our analytics team], our strategy is to upskill.

Data Science 143

Data Science IT Machine Learning Data-driven 143

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

CIO Business Intelligence

FEBRUARY 6, 2025

As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. Even basic predictive modeling can be done with lightweight machine learning in Python or R.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

CIO Business Intelligence

AUGUST 20, 2024

It is important to undertake modernization as part of a forward-thinking strategy to ensure infrastructure investments address current requirements and are adaptable, scalable, and resilient enough to handle future challenges.

IT 122

IT IoT Internet of Things Optimization 122

Smart Data Collective

JULY 24, 2023

AI can also identify patterns and trends in data that may indicate cost-saving opportunities, leading to improved negotiation strategies and ultimately, cost reductions. Potential developments may include more sophisticated predictive models, greater automation, and increasingly personalized vendor interactions based on data-driven insights.

Management 98

Management Cost-Benefit Data-driven Predictive Analytics 98

IBM Big Data Hub

JULY 5, 2023

But where do you start and how do you know which ALM strategy is right for you? The maintenance strategies that companies use most frequently are broken down into four stages of the asset lifecycle. A sound ALM strategy ensures compliance no matter where data is being stored. What is asset lifecycle management (ALM)?

Strategy 52

Strategy Management IoT Cost-Benefit 52

O'Reilly on Data

SEPTEMBER 19, 2023

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.” And it was good. For a few years, even. But then we hit another hurdle.

Machine Learning 291

Machine Learning Testing Modeling Cost-Benefit 291

BizAcuity

APRIL 25, 2022

Casinos would do well to think through their marketing strategies, to support growth, differentiate themselves from competitors, and strengthen their relationship with patrons and members. Casino Marketing strategy is digital. To start with, a fundamental digital casino marketing strategy encompasses: Website and Mobile.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

CIO Business Intelligence

MARCH 5, 2024

CIOs must also partner with CISOs, legal, human resources, and business leaders to build awareness of policies and develop a generative AI risk management strategy. As copilot technology capabilities are changing rapidly, leaders should frequently identify metrics and evaluate strategies. Generative AI, IT Strategy

Advertising 124

Advertising Cost-Benefit Experimentation Reporting 124

DataRobot

NOVEMBER 24, 2021

Whatever its requirements, applying data-driven AI strategies can help. To meet these needs, it turned to AI, running the DataRobot AI Cloud on AWS instead of following its previously backbreaking, manual model-building process. Prediction accuracy improved from less than 80 percent to 87.5 Reduce its operational costs?

Cost-Benefit 98

Cost-Benefit ROI Data-driven Predictive Modeling 98

Smarten

JULY 23, 2019

Put simply, predictive analytics is a method used to forecast and predict the future results and needs of an organization using historical data and a comprehensive set of data from across and outside the enterprise. Predictive Modeling allows users to test theories and hypotheses and develop the best strategy.

Modeling 64

Modeling Predictive Analytics Predictive Modeling IT 64

CIO Business Intelligence

JULY 17, 2023

For example, one PowerInsights model predicts the potential path of a power outage based on the path of an incoming hurricane and alerts customers to ensure their systems are serviced. Another model identifies customers living in bordering states who may want to purchase a power supply system.

IoT 98

IoT Manufacturing Digital Transformation Sales 98

CIO Business Intelligence

MAY 21, 2024

With this model, patients get results almost 80% faster than before. Next, Northwestern and Dell will develop an enhanced multimodal LLM for CAT scans and MRIs and a predictive model for the entire electronic medical record.

IT 131

IT Cost-Benefit Experimentation Forecasting 131

Domino Data Lab

OCTOBER 7, 2020

Statistics developed in the last century are based on probability models (distributions). This approach provides an automatic and objective strategy for decision making under defined assumptions about the data. This model for data analytics has proven highly successful in basic biomedical research and clinical trials.

Statistics 145

Statistics Testing Predictive Modeling Modeling 145

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. IBM named a Leader We at IBM continue to be excited about the intersection of decision automation with AI, which is also referred to as decision intelligence.

Reporting 87

Reporting Scorecard Predictive Modeling Machine Learning 87

Business Over Broadway

SEPTEMBER 27, 2018

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. Your marketing strategy is only as good as your ability to deliver measurable results. Machine Learning and Predictive Modeling of Customer Churn.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

DataKitchen

JANUARY 17, 2022

It may take six weeks to add a new schema, but the VP may say she needs it for this Friday’s strategy summit. The business analysts creating analytics use the process hub to calculate metrics, segment/filter lists, perform predictive modeling, “what if” analysis and other experimentation. Requirements continually change.

Experimentation 130

Experimentation Data Lake Predictive Modeling Marketing 130

Smarten

APRIL 10, 2023

Investment in predictive analytics benefits everyone in the organization, including business users and team members, data scientists and the organization in general. Instead, they can use assisted predictive modeling to improve business agility and align processes, activities and tasks with business objectives and goals.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52