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. This role is responsible for training, developing, deploying, scheduling, monitoring, and improving scalable machine learning solutions in the enterprise.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

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

Smart Data Collective

JULY 24, 2023

Modern VMS can harness AI to automate routine tasks, analyze vendor performance, predict future outcomes, and assist in making strategic decisions. For instance, an AI-powered VMS could use machine learning algorithms to predict a vendor’s reliability based on historical data, aiding procurement professionals in decision making.

Management 83

Management Cost-Benefit Data-driven Predictive Analytics 83

CIO Business Intelligence

OCTOBER 5, 2023

As chief digital and technology officer at CBRE, Davé recognized early that the commercial real estate industry was ripe for AI and machine learning enhancements, and he and his team have tested countless use cases across the enterprise ever since. Let’s start with the models. And those experiments have paid off.

Experimentation 127

Experimentation Strategy Machine Learning Interactive 127

CIO Business Intelligence

JULY 28, 2022

Another 62% said they plan to hire data engineers , and 37% are looking for machine learning engineers — data analytics team members who could support data scientists. And machine learning engineers are being hired to design and build automated predictive models. More advanced companies get that.

Data Science 143

Data Science IT Machine Learning Data-driven 143

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 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

IBM Big Data Hub

MAY 18, 2023

This report outlines the combination of traditional decision automation tools with machine learning models and other technologies. ” 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. .

Reporting 87

Reporting Scorecard Predictive Modeling Machine Learning 87

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. Being a champion of continuous learning and adaptability is essential to keep pace with AI’s rapid advancements,” Daly says. Artificial Intelligence, IT Leadership

Risk Management 137

Risk Management Risk Cost-Benefit Technology 137

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. Source: RStudio.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. Additionally, BI tools enable organizations to adopt a data-driven approach to strategy formulation, leading to more informed decision-making at all levels.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

FineReport

JUNE 7, 2024

Innovations such as AI-driven analytics, interactive dashboards , and predictive modeling set these companies apart. Boasting a user-centric approach, Alteryx’s key features include drag-and-drop functionalities and predictive modeling capabilities.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe. When business decisions are made based on bad models, the consequences can be severe.

Risk 111

Risk Modeling IT Risk Management 111

IBM Big Data Hub

AUGUST 22, 2023

It uses real-world data (both real time and historical) combined with engineering, simulation or machine learning (ML) models to enhance operations and support human decision-making. A digital twin is the digital representation of a physical asset.

Unstructured Data 73

Unstructured Data Consulting Visualization IoT 73

DataRobot

JUNE 4, 2021

DataRobot enables organizations to leverage the transformational power of machine learning by delivering the world’s most trusted enterprise AI platform that spans the full lifecycle from data to value. Here, we have a model that predicts foot traffic for a chain of coffee shops. Forecasting In-Store Foot Traffic.

Forecasting 52

Forecasting Machine Learning Predictive Modeling Modeling 52

IBM Big Data Hub

JUNE 29, 2023

This is why asset reliability is such a critical component of business strategy. Preventive and predictive maintenance Both preventive and predictive maintenance are maintenance strategies used by business leaders to increase asset reliability. Before we dive into it, let’s take a look at some relevant terms.

Cost-Benefit 80

Cost-Benefit Measurement Predictive Analytics Management 80

Ontotext

MAY 25, 2023

The event attracts individuals interested in graph technology, machine learning and natural language processes in numerous verticals, including publishing, government, financial services, manufacturing and retail. An entire conference track was dedicated to topics like graph embeddings, vector representations and matrix operations.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

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 53

Data mining Machine Learning Deep Learning Marketing 53

CDW Research Hub

JULY 17, 2019

After using our predictive models and machine learning to review the data, the organization confidently introduced job sharing, remote jobs, hoteling space and parking consolidation, resulting in improved employee morale by offering more flexible options and a savings of $6 million annually to the company.

Predictive Modeling 44

Predictive Modeling Machine Learning Sales Modeling 44

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. Data for Enterprise AI: E xperian BIS — Improving the accuracy of commercial data aggregation with data science and machine learning.

Digital Transformation 71

Digital Transformation Machine Learning Optimization Data Lake 71

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 96

Data Analytics Analytics Big Data Advertising 96

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 80

Advertising Data-driven Optimization Forecasting 80

Jedox

MAY 17, 2022

Financial planners , Chief Financial Officers, and analysts have all struggled to build accurate methods for predicting what’s likely to happen. Prior to the dawn of advanced statistical analysis and machine learning, predictive analytics efforts fell into 4 broad categories: Guessing , which is the default that most people revert to.

Predictive Analytics 85

Predictive Analytics Finance Analytics Forecasting 85

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. Business Intelligence. Dashboards. Anomaly Monitoring and Alerts.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

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. After cleaning, the data is now ready for processing.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

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 73

Machine Learning Modeling Deep Learning Predictive Modeling 73

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. But acknowledging the reality and enabling that reality within the walls of an enterprise are two very different things.

Predictive Modeling 78

Predictive Modeling Digital Transformation Data Science Enterprise 78

IBM Big Data Hub

MAY 17, 2024

Use case 1: AI for modernization and business model expansion AI-powered tools can be incredibly valuable in optimizing and modernizing business operations throughout the customer journey, but it is critical in the commerce continuum. Experience building strategies like these have been  used by online retailers for years.

B2B 64

B2B Interactive Optimization Forecasting 64

BizAcuity

MARCH 18, 2019

Predictive analytics continues to gain popularity, and research proves that there is a gradual move toward credit scoring strategies developed using data mining and predictive analytics. Predictive analysis helps identify which customers are willing to switch to other lenders and the reasons for this.

Predictive Analytics 83

Predictive Analytics Analytics Data mining Cost-Benefit 83

BizAcuity

JULY 13, 2021

We at BizAcuity, have realized that there is a need to build a SaaS platform that could help the operators to optimize the go-to-market strategy in this highly competitive and most rapidly advancing space with minimal capital and human investments.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

Birst BI

MAY 29, 2018

The mainstream arrival of AI using machine learning automation promises to boost all kinds of software capabilities, particularly BI. Both AI and BI systems use machine learning to make predictions. Figure 6: Amazon Machine Learning to build and deploy Predictive Models.

Slice and Dice 74

Slice and Dice Analytics Business Intelligence Machine Learning 74

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. AI platforms can use machine learning and deep learning to spot suspicious or anomalous transactions.

Cost-Benefit 82

Cost-Benefit Insurance Unstructured Data Machine Learning 82

Birst BI

AUGUST 23, 2018

A key goal of AI or machine learning automation is to have machines complete tasks for you, freeing up time so you can focus on the more complex, higher-value tasks. 1] Until then, we observe in another Gartner survey that organizations are outsourcing various tasks in the Machine Learning pipeline. [2].

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

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.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

DataRobot Blog

AUGUST 10, 2022

NHS organisations are used to using workforce KPIs to manage staffing levels, but the real opportunity is being able to identify staff that are at risk of leaving post and to implement strategies to retain their much needed talent. Improving patient outcomes through a data-first approach.

Forecasting 52

Forecasting Data-driven Experimentation Risk 52

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks.

Modeling 226

Modeling Machine Learning Predictive Modeling Consulting 226

Alation

APRIL 25, 2023

As firms mature their transformation efforts, applying Artificial Intelligence (AI), machine learning (ML) and Natural Language Processing (NLP) to the data is key to putting it into action quickly and effecitvely. Predictive models indicate that the machine learning market will grow at a compound annual growth rate (CAGR) of 38.8%

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

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