CIO Business Intelligence

JUNE 14, 2023

Organization: CompTIA Price: US$246 How to prepare: CompTIA offers elearning, interactive labs, and exam prep through CertMaster, study guides, and instructor-led training. Candidates should have experience in machine learning and predictive modeling techniques and their application to big, distributed, and in-memory data sets.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

Smarten

SEPTEMBER 28, 2022

In order to understand how businesses might use assisted predictive modeling and predictive analytics, let’s look at some business use cases and how analytical techniques can help the enterprise derive concise, clear information to support decisions and strategies. Crime Type Prediction. Customer Churn.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

Cloudera

MAY 23, 2024

These two factors have led to development of an ecosystem of tooling software for managing LLM interactions (e.g. Traditionally, models are measured by comparing predictions with reality, also called “ground truth.” For GenAI models operating in private environments and at-scale, such human evaluations would be impossible.

Management 73

Management Metrics Data Processing Data Lake 73

Insight

AUGUST 5, 2020

While most of these signals are implicitly communicated during human-to-human interaction, we do not have a method for quantifying feeling and mood through individual behavioral signals expressed on the digital platform. Prediction models An Exploratory Data Analysis showed improved performance was dependent on gender and emotion.

Predictive Modeling 98

Predictive Modeling Statistics Modeling Measurement 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. These measures empower them with a deeper understanding of their data like never before.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

Cloudera

JUNE 27, 2023

Telcos can correlate data generated by connected devices with existing sources of customer data to identify and predict service outages and disruptions. By using predictive models and machine learning (ML), telcos can reach out to affected customers, suggesting workarounds or offering credits, refunds, and incentives.

Data Architecture 62

Data Architecture Predictive Modeling Data Governance Data-driven 62

Smarten

APRIL 12, 2023

Smarten CEO, Kartik Patel says, ‘Smarten SnapShot supports the evolving role of Citizen Data Scientists with interactive tools that allow a business user to gather information, establish metrics and key performance indicators.’

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

Smarten

JULY 26, 2022

“Users can analyze and interact with data with full visibility of dashboards, reports and other BI objects.” The Smarten Augmented Analytics and BI platform allows business users to leverage deep dive analysis using highly interactive dashboards, reports and NLP search on a mobile device.

Key Performance Indicator 74

Key Performance Indicator Analytics Business Intelligence Dashboards 74

IBM Big Data Hub

MAY 17, 2024

To take one example, AI-facilitated tools like voice navigation promise to upend the way users fundamentally interact with a system. AI models analyze vast amounts of data quickly and accurately. This content includes product descriptions, images, videos and even interactive experiences.

B2B 67

B2B Interactive Optimization Forecasting 67

Smarten

JUNE 22, 2022

Embedded BI and Augmented Analytics includes traditional BI components like dashboards, KPIs, Reports with interactive drill-down, drill through, slice and dice and self-serve analytics capabilities. Benefits of Embedded BI.

Slice and Dice 76

Slice and Dice Digital Transformation Business Intelligence Predictive Modeling 76

Smart Data Collective

JULY 24, 2023

Potential developments may include more sophisticated predictive models, greater automation, and increasingly personalized vendor interactions based on data-driven insights. As technology advances, we can expect VMS to become even more intelligent and efficient.

Management 87

Management Cost-Benefit Data-driven Predictive Analytics 87

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. Hotels try to predict the number of guests they can expect on any given night in order to adjust prices to maximize occupancy and increase revenue. Data exploded and became big. We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

JUNE 10, 2022

Social BI Tools that allow for sharing of data, alerts, dashboards and interactivity to support decisions, enable online communication and collaboration. Predictive Modeling to support business needs, forecast, and test theories. Assisted Predictive Modeling. Key Performance Indicators (KPIs). Cross-Tab Reporting.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

CIO Business Intelligence

OCTOBER 5, 2023

CBRE has also used AI to optimize portfolios for several clients, and recently launched a self-service generative AI product that enables employees to interact with CBRE and external data in a conversational manner. For AI, the high-value quadrant is where you’ll find most predictive modeling.

Experimentation 125

Experimentation Strategy Machine Learning Interactive 125

O'Reilly on Data

SEPTEMBER 19, 2023

” Each step has been a twist on “what if we could write code to interact with a tamper-resistant ledger in real-time?” 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 243

Machine Learning Testing Modeling Cost-Benefit 243

Domino Data Lab

JANUARY 21, 2021

Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. Results become the basis for understanding the solution space (or, ‘the realm of the possible’) for a given modeling task. Producing insights from raw data is a time-consuming process.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

FineReport

APRIL 24, 2024

Interactivity: Incorporating interactive features allows users to explore the data more deeply, gaining comprehensive insights from the visualizations. Moreover, interactive features in data visualization tools allow users to delve deeper into the data, exploring specific data points or segments with ease.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

Smarten

OCTOBER 31, 2022

GeoMap support with interactive maps. Social BI tools for data sharing. Graphical Analysis and Cross-Tab Analytics for Intuitive reporting. What-If Analysis to test pricing, budget and cost information. Out-of-the-Box Mobile BI tools for access from anywhere. Personalized alerts. Real time and cached data management.

Key Performance Indicator 67

Key Performance Indicator Analytics Cost-Benefit Predictive Modeling 67

IBM Big Data Hub

MAY 1, 2023

The early versions of AI were capable of predictive modelling (e.g., The four categories of predictive modelling, robotics, speech and image recognition are collectively known as algorithm-based AI or Discriminative AI. It offers customers and the insurer’s system to interact in a human-like manner.

Insurance 79

Insurance Predictive Modeling Cost-Benefit Statistics 79

CIO Business Intelligence

MAY 10, 2022

Salesforce Interaction Studio. Salesforce Interaction Studio is a personalization and interaction management solution for the Salesforce Marketing Cloud. Treasure Data CDP is a data science CDP built for predictive modeling and advanced analytics. It prioritizes speed over advanced segmentation and scalability.

Advertising 111

Advertising Interactive Marketing Data Integration 111

CIO Business Intelligence

OCTOBER 4, 2022

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. Putting data in the hands of the people that need it.

Machine Learning 106

Machine Learning Data Architecture Uncertainty Data-driven 106

Ontotext

MAY 31, 2023

To support drug discovery, Ontotext has recently developed a method for gene-disease link prediction, which can help focus research efforts where it would matter most and speed up the drug development process. The link prediction models are based on the so-called Knowledge Graph Embeddings, which relying on knowledge graph technology.

Experimentation 52

Experimentation Cost-Benefit Predictive Modeling Risk 52

Cloudera

MARCH 21, 2022

There are well-known barriers that slow down predictive modeling or application development. The Impala connection object has different methods to interact with the CDW Impala Virtual Warehouse. This makes data science one of the most exciting fields to be in. import cml.data_v1 as cmldata.

Machine Learning 80

Machine Learning Predictive Modeling Data Science Testing 80

FineReport

MARCH 31, 2024

Recognized for its versatility, Power BI excels in data transformation and visualization, incorporating advanced predictive modeling and AI-driven features. Despite these limitations, Power BI remains a versatile and efficient BI tool, offering interactive data analysis and visualization capabilities to users worldwide.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

CIO Business Intelligence

OCTOBER 13, 2023

Responsibilities include building predictive modeling solutions that address both client and business needs, implementing analytical models alongside other relevant teams, and helping the organization make the transition from traditional software to AI infused software.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

AWS Big Data

NOVEMBER 10, 2023

The business opportunity There are 19 predictive models in scope for utilizing 93 features built with AWS Glue across Capitec’s Retail Credit divisions. They emphasized the importance of utilizing decentralized and modular PySpark data pipelines for creating predictive model features.

Data Processing 95

Data Processing Data Lake Data Warehouse Optimization 95

Juice Analytics

MARCH 11, 2021

Predictive models to take descriptive data and attempt to tell the future. She crafts the interface and interactions to make the data intuitive. Front-end Application Developer The Front-end Application Developer's role is all about building interface elements, interactions, and data visualizations. Just kidding!

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

Insight

MARCH 18, 2019

Bias in Machine Learning Algorithms (Bottom Photos Source: ProPublica ; Top Photos Source: Pexels.com) Biases in predictive modeling are a widespread issue Machine learning and AI applications are used across industries, from recommendation engines to self-driving cars and more. 5 is labeled as low.

Machine Learning 77

Machine Learning Predictive Modeling Modeling Metrics 77

FineReport

MAY 29, 2020

BI Reports can vary in their interactivity. Static reports cannot be changed by the end-users, while interactive reports allow you to navigate the report through various hierarchies and visualization elements. Interactive reports support drilling down or drilling through multiple data levels at the click of a mouse.

Reporting 94

Reporting OLAP Visualization Software 94

CIO Business Intelligence

APRIL 22, 2022

RapidMiner: This data science platform is geared to support teams, with support for data prep, machine learning, and predictive model deployment. Matplotlib: This open source plotting library for Python offers tools for creating static, animated, and interactive visualizations.

Data Science 139

Data Science Statistics Machine Learning Visualization 139

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. Analyzing Customer Churn.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

CIO Business Intelligence

MARCH 22, 2022

It emulates and predicts extreme weather events such as hurricanes or atmospheric rivers like those that brought flooding to the Pacific Northwest and to Sydney, Australia, in early March. Nvidia claims it can do so up to 45,000 times faster than traditional numerical prediction models. Accelerated learning.

Modeling 131

Modeling Machine Learning Forecasting Optimization 131

DataRobot

MARCH 2, 2021

Every day, millions of people interact with AI systems, often without knowing it. With DataRobot, you can build dozens of predictive models with the push of a button and easily deploy them. Monitoring deployed models is easy because we provide features to check on service health, data drift, and accuracy.

Predictive Modeling 98

Predictive Modeling Risk Consulting Dashboards 98

Business Over Broadway

SEPTEMBER 27, 2018

Figure 1 includes a good illustration of different data sets and how they fall along these two size-related dimensions (For the interested reader, check out the figure in an interactive graphic ). Machine Learning and Predictive Modeling of Customer Churn. segmentation on steroids).

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

DataRobot

APRIL 27, 2021

With these technologies, business users can easily build, deploy, and manage software robots that emulate humans actions interacting with digital systems and software. DataRobot delivers powerful AI and automated machine learning to accelerate the model development, deployment , and monitoring of models at scale.

Machine Learning 98

Machine Learning Cost-Benefit Predictive Modeling Software 98

Rocket-Powered Data Science

OCTOBER 6, 2023

The counterexample to the supervised learning explanation of precursor analytics is a “black swan” event – a rare high-impact event that is difficult to predict under normal circumstances – such as the global pandemic, which led to the failure of many predictive models in business.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

O'Reilly on Data

SEPTEMBER 15, 2020

This in turn would increase the platform’s value for users and thus increase engagement, which would result in more eyes to see and interact with ads, which would mean better ROI on ad spend for customers, which would then achieve the goal of increased revenue and customer retention (for business stakeholders).

Cost-Benefit 290

Cost-Benefit Advertising ROI Machine Learning 290