Smarten

SEPTEMBER 28, 2022

Gartner has predicted that, ‘Overall analytics adoption will increase from 35% to 50%, driven by vertical and domain-specific augmented analytics solutions.’ Predictive analytics uses sophisticated analytical methodologies to predict future outcomes based on historical data. Marketing Optimization. Customer Churn.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

BizAcuity

JULY 13, 2021

Optimize your Go To Market: The gaming business consists of various applications like the gaming platforms (Casino, Live Dealer, Poker, Sports, Bingo, etc.), account platform, payment, affiliate, loyalty system, bonus and promotion systems, financial application, CRM system, and many others.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

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 104

Finance Forecasting IoT Predictive Modeling 104

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. Collaboration also includes working with product teams on go-to-market opportunities. That helps them ensure that AI initiatives adhere to legal and ethical standards. “You

Risk Management 138

Risk Management Risk Cost-Benefit Technology 138

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 has strengths in decision intelligence technologies, authoring tools, explainability, and ModelOps.”

Reporting 91

Reporting Scorecard Predictive Modeling Machine Learning 91

IBM Big Data Hub

MAY 6, 2024

In this chapter of the IBM series on clinical trial innovation, we spotlight key strategies for boosting recruitment speed, helping to ensure diversity, and harnessing digital advancements. It’s crucial to evaluate the feasibility of trials and refine protocols using evidence-based strategies.

Advertising 84

Advertising Data-driven Optimization Strategy 84

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 129

Experimentation Strategy Machine Learning Interactive 129

DataRobot

NOVEMBER 24, 2021

Whatever its requirements, applying data-driven AI strategies can help. But as the COVID-19 pandemic has shown, getting products to market as quickly as possible can even save thousands of lives. To illustrate this principle, take a look at Lenovo, which has increased its share of the global PC market to 27.1

Cost-Benefit 98

Cost-Benefit ROI Data-driven Predictive Modeling 98

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 114

Machine Learning Data Architecture Uncertainty Data-driven 114

FineReport

APRIL 21, 2024

Defining Business Intelligence and SaaS Business Intelligence (BI) encompasses the technologies and strategies used for data analysis and decision-making within organizations. Tableau’s AI tool, Einstein, can analyze data faster, plucking out useful insights while creating high-quality predictive models.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

IBM Big Data Hub

SEPTEMBER 19, 2023

Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes. 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 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

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.

Big Data 142

Big Data Finance Risk Management Risk 142

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 63

Modeling Predictive Analytics Predictive Modeling IT 63

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.

Data mining 56

Data mining Machine Learning Deep Learning Marketing 56

IBM Big Data Hub

AUGUST 22, 2023

Digital twins and integrated data For the presentation layer, you can leverage various capabilities, such as 3D modeling, augmented reality and various predictive model-based health scores and criticality indices. At IBM, we strongly believe that open technologies are the required foundation of the digital twin.

Unstructured Data 77

Unstructured Data Consulting Visualization IoT 77

Smarten

MAY 13, 2019

The cost of acquiring a new customer includes marketing and advertising, resources and personnel, customer support, search engine optimization and more. Use Predictive Analytics to identify at risk customers and issues that will impact customer churn and customer retention. Marketing Optimization. Online Target Marketing.

Predictive Analytics 51

Predictive Analytics Analytics Predictive Modeling Advertising 51

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. With the role of marketers in mind, a CDP can not only analyze data but also provide additional functionalities such as business intelligence and reporting.

Data Analytics 100

Data Analytics Analytics Big Data Data Lake 100

Smarten

JUNE 8, 2022

Predictive analytics uses data integrated from appropriate data sources, and augmented analytics allows the business to anticipate production demands, plan for new locations and markets and predict targeted customer buying behavior and changes in product demand across multiple market segments.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

CIO Business Intelligence

OCTOBER 13, 2023

Here are the top 11 roles companies are currently hiring for, or have plans to hire for, to directly address their emerging gen AI strategies. A chief AI officer is responsible for overseeing AI strategy development by navigating and overseeing the development and implementation of AI in the business.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

CIO Business Intelligence

OCTOBER 12, 2023

He’s known as a digital game changer who operates at the intersection of advanced technology and business strategy. I could have any title, but if there’s a component of digital strategy and data and AI that I can help with, he’s going to expect me to do that. If there’s an aspect of business strategy, he expects me to do that.

IoT 125

IoT Manufacturing Strategy Modeling 125

IBM Big Data Hub

MAY 17, 2024

Early iterations of e-commerce used traditional AI largely to create dynamic marketing campaigns , improve the online shopping experience, or triage customer requests. Experience building strategies like these have been  used by online retailers for years. AI can be integrated into every touchpoint across the commerce journey.

B2B 67

B2B Interactive Optimization Forecasting 67

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

Smarten

FEBRUARY 17, 2022

Where many businesses fail in implementing the Citizen Data Scientist initiative, it is typical to find that the business has simply decided to deploy the strategy without much planning or culture change. 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

Sisense

MARCH 24, 2020

BA claimed that a continued investment in analytics during the crisis was a critical factor to streamlining marketing activities and thwarting fraudulent bookings when their business was especially fragile. Automate, track, and predict positive outcomes. One area they refused to cut, however, was their business intelligence program.

Analytics 94

Analytics Sales Forecasting Business Intelligence 94

CIO Business Intelligence

AUGUST 7, 2023

While the mandate isn’t new , CIOs rising to the challenge are immersing in the business, polishing communications and business skills , and executing organizational and change management strategies to align technology initiatives with intended business outcomes. “At

IT 96

IT Sales Manufacturing Cost-Benefit 96

Cloudera

APRIL 27, 2021

If the network data team is sharing the data, great; but does the marketing team charged with upsell understand the network data? Today, leading CME organizations worldwide are adopting an enterprise data cloud strategy using the open source-based Cloudera Data Platform to manage the end-to-end data lifecycle. It’s all in the data!

Recreation/Entertainment 64

Recreation/Entertainment Advertising IoT Predictive Modeling 64

DataRobot

JUNE 4, 2021

Although the DataRobot platform makes leading edge AI technology available to customers, often the most bang-for-the-buck strategy for improving model accuracy is not necessarily to focus on the shiny new algorithm. But the power of enriching data for improved predictive models extends to nearly all industries and use cases.

Forecasting 52

Forecasting Machine Learning Predictive Modeling Modeling 52

Ontotext

MAY 25, 2023

This message resonates with the market positioning of Ontotext as a trusted, stable option for demanding data-centric use cases. In Healthcare and Life Sciences, knowledge graphs have several use cases, such as personalized search, recommendations, clinical decision support, drug discovery and prediction models.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

Jedox

MAY 17, 2022

In an era with a pandemic and political instability, it’s not a sound strategy unless it comes with exceptional agility and nimbleness to change when circumstances change. Thus, no predictive model works to predict elections, despite the best efforts of many to the contrary.

Predictive Analytics 83

Predictive Analytics Finance Analytics Forecasting 83

Smarten

JUNE 10, 2022

Obviously, when it comes to your competitive market space, your business does not want to exist in that 68% of the pie chart! Predictive Modeling to support business needs, forecast, and test theories. Assisted Predictive Modeling. Business Intelligence. Dashboards.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

Alation

APRIL 25, 2023

Predictive models indicate that the machine learning market will grow at a compound annual growth rate (CAGR) of 38.8% For example, if you’re managing data for a massive email marketing campaign, it’s important to make sure that everyone on the account knows what’s expected of them. between 2022 and 2029.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Sisense

AUGUST 11, 2019

Typically, this involves using statistical analysis and predictive modeling to establish trends, figuring out why things are happening, and making an educated guess about how things will pan out in the future. BA primarily predicts what will happen in the future. What About “Business Intelligence”? Choosing the Right Tech.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

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. Full circle data experience: achieved.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

Smarten

JUNE 25, 2018

KMeans Clustering can be applied to segment customers by purchasing history, segment users by the activities they perform on a website, define demographic profiles based on interests, and recognize market patterns. Business Benefit: Once the segments are identified, marketing messages and even products can be customized for each segment.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

IBM Big Data Hub

FEBRUARY 14, 2024

Not only will this help scale the AOT tech across markets, but it will also help tackle integrations including additional languages, dialects and menu variations. Banks and other lenders can use ML classification algorithms and predictive models to suggest loan decisions.

Cost-Benefit 85

Cost-Benefit Insurance Unstructured Data Machine Learning 85

Occam's Razor

JANUARY 7, 2019

My professional areas of interest cover Customer Service, User Experience and Finance, though here on Occam’s Razor my focus is on influencing incredible Marketing through the use of innovative Analytics. There is too much goodness in modeling that you are not taking advantage of. The Step Change Marketing Obsessions List.

Marketing Analytics 88

Marketing Analytics Marketing Analytics Strategy 88

Domino Data Lab

JULY 28, 2021

There are many software packages that allow anyone to build a predictive model, but without expertise in math and statistics, a practitioner runs the risk of creating a faulty, unethical, and even possibly illegal data science application. All models are not made equal.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110