Jet Global

MARCH 30, 2021

Tax planning is playing an increasingly important part in corporates’ enterprise resource management (ERM) strategies, driven by the many uncertainties created by political, economic, and pandemic-related trends. Take Responsibility for Risk Oversight. Take Responsibility for Risk Oversight. Foster an Appropriate Risk Mindset.

Risk Management 98

Risk Management Risk Strategy Enterprise 98

CIO Business Intelligence

OCTOBER 16, 2023

Predictive AI uses advanced algorithms based on historical data patterns and existing information to forecast outcomes to predict customer preferences and market trends — providing valuable insights for decision-making. It leverages techniques to learn patterns and distributions from existing data and generate new samples.

Forecasting 137

Forecasting Machine Learning Software Data-driven 137

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. billion in 2022, according to a research study published by The Insight Partners in August 2022.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

IBM Big Data Hub

JANUARY 22, 2024

Data centers are undergoing significant evolution. Catalysts and conundrums A dramatic shift in development and operations is making data centers more agile and cost-effective. Catalysts and conundrums A dramatic shift in development and operations is making data centers more agile and cost-effective.

Data-driven 101

Data-driven Forecasting Consulting Marketing 101

DataRobot Blog

AUGUST 18, 2022

Challenges in inventory management, demand forecasting, price optimization, and more can result in missed opportunities and lost revenue. Retailers and manufacturers that incorporate AI in supply chain management greatly enhance their ability to forecast demand, manage inventory, and optimize price.

Manufacturing 98

Manufacturing Cost-Benefit Forecasting Data-driven 98

CIO Business Intelligence

DECEMBER 11, 2023

Traditionally, the work of the CFO and the finance team was focused on protecting the company’s assets and reputation and guarding against risk. It will strengthen and improve the veracity of financial data, and, most importantly, it will help CFOs take a more active role in value creation. AI will impact how the work gets done.

Finance 105

Finance Forecasting IoT Predictive Modeling 105

Rita Sallam

APRIL 2, 2023

Are there mitigation strategies that show reasons for optimism? We explored these questions and more at our Bake-Offs and Show Floor Showdowns at our Data and Analytics Summit in Orlando with 4,000 of our closest D&A friends and family. What Data Did We Use? We did two Bake-Offs this year.

Optimization 52

Optimization Machine Learning Insurance Risk 52

IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. This includes trust in the data, the security, the brand and the people behind the AI.

B2B 65

B2B Interactive Optimization Forecasting 65

CIO Business Intelligence

APRIL 5, 2022

For some, leveraging data and analytics tools is proving to be an effective way to address the challenges. Here’s how three organizations are succeeding at using data analytics to improve supply chain operations. Supply chain woes continue to plague organizations around the world and in virtually all sectors.

Analytics 145

Analytics Cost-Benefit Forecasting Manufacturing 145

Cloudera

AUGUST 3, 2021

In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

IBM Big Data Hub

JUNE 29, 2023

Integrated planning incorporates supply chain planning, demand planning, and demand forecasts so the company can quickly assess the impact on inventory levels, supply chain logistics, production plans, and customer service capacity. Data integration and analytics IBP relies on the integration of data from different sources and systems.

Key Performance Indicator 76

Key Performance Indicator Forecasting Data Integration Sales 76

DataRobot

OCTOBER 19, 2021

Many available forecasts provide less than four weeks notice at the state and county level. Additionally, these forecasts often miss surges in community transmission until it is too late to change course. Traditional predictive models do not account for anomaly detection on data reporting issues (e.g., reporting backlogs).

Forecasting 98

Forecasting Predictive Modeling Optimization Testing 98

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. The goal of DataOps is to help organizations make better use of their data to drive business decisions and improve outcomes.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

CIO Business Intelligence

SEPTEMBER 7, 2023

First, there is the need to properly handle the critical data that fuels defense decisions and enables data-driven generative AI. Organizations need novel storage capabilities to handle the massive, real-time, unstructured data required to build, train and use generative AI. billion by 2032.

Unstructured Data 119

Unstructured Data Cost-Benefit Risk Data-driven 119

FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

FineReport

APRIL 9, 2024

Understanding Healthcare BI Tools The Role of Healthcare BI Tools Healthcare BI tools are instrumental in revolutionizing decision-making processes and patient care through the utilization of advanced data analysis and technology.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

IBM Big Data Hub

DECEMBER 4, 2023

This approach empowers organizations to utilize data-driven analytics, artificial intelligence (AI) and automation to make well-informed decisions swiftly and accurately, enabling them to navigate the complexities of the modern marketplace with agility and precision.     This is where autonomous planning shines.

Forecasting 49

Forecasting Finance Optimization Marketing 49

IBM Big Data Hub

MAY 14, 2024

Through new approaches to financial management that incorporate generative AI , this advanced technology can help CFOs make more informed, data-driven decisions for their organization that can have major financial implications. The IBM report found that, on average, AI adopters attribute 40% of finance function FTE redeployment to AI.

Finance 69

Finance Cost-Benefit Reporting Forecasting 69

IBM Big Data Hub

OCTOBER 30, 2023

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. Businesses globally recognize the power of generative AI and are eager to harness data and AI for unmatched growth, sustainable operations, streamlining and pioneering innovation.

Insurance 79

Insurance Data Warehouse Data-driven Unstructured Data 79

IBM Big Data Hub

MAY 6, 2024

Optimize protocols using historical and synthetic data Complex and stringent protocols are notorious for delaying clinical trials and eroding patient engagement. Diving deep into historical trial data with a protocol complexity rating also reveals golden insights, especially around patient-centric elements.

Advertising 81

Advertising Data-driven Optimization Strategy 81

Smart Data Collective

SEPTEMBER 28, 2021

Moreover, with the help of an AI development company , businesses can avoid unforeseen downtime, increase operational productivity, develop new services and products, and boost risk control. Security and protection are the most important aspects for a business, given the recent growth in data thefts and loss of valuable data.

IoT 132

IoT Internet of Things Cost-Benefit Consulting 132

IBM Big Data Hub

FEBRUARY 13, 2024

Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types. This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Imagine each data point as a glowing orb placed on a vast, multi-dimensional landscape.

Enterprise 119

Enterprise Modeling Testing Data-driven 119

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. Plan and forecast accurately.’. Quality Control.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

CIO Business Intelligence

JUNE 2, 2022

Among the hot technologies, artificial intelligence and machine learning — a subset of AI that that makes more accurate forecasts and analysis as it ingests data — continue to be of high interest as banks keep a strong focus on costs while trying to boost customer experience and revenue. Gartner highlights AI trend in banking.

Predictive Analytics 145

Predictive Analytics Technology Analytics Machine Learning 145

datapine

JUNE 15, 2023

In the past, these reports were used after a month or even a year since the data being displayed was generated. They are composed of multiple graphs and charts that not only assist you in telling a complete story of performance but also make the data more accessible and understandable for a wider audience.

Reporting 207

Reporting Dashboards Cost-Benefit Sales 207

Ontotext

APRIL 6, 2023

Knowledge graphs are changing the game A knowledge graph is a data model that uses semantics to represent real-world entities and the relationships between them. It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. The possibilities are endless!

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Jedox

APRIL 10, 2019

When embracing better-practice, balancing risk to return can be complex and choosing a path that delivers high business value, with minimum disruption is not always easy. This approach meant they avoided the risk of waiting 6-12 months to get any result. They stood to gain a lot by digital Finance Transformation.

Digital Transformation 42

Digital Transformation Risk Finance Sales 42

IBM Big Data Hub

FEBRUARY 14, 2024

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

IBM Big Data Hub

FEBRUARY 20, 2024

The model could potentially be used to identify conditions that raise the risks of wildfires and predict hurricanes and droughts. The United Nations’ Intergovernmental Panel on Climate Change (IPCC) predicts people living in Africa, Australia, North America and Europe will face health risks due to rising temperatures and heat waves.

Modeling 114

Modeling Forecasting Reporting Risk 114

CIO Business Intelligence

JANUARY 18, 2024

Global spending on technology is predicted to be up by virtually all forecasts. Data-driven mindset: Employers seeking new tech chiefs are targeting those who can use data to assess and evaluate key initiatives. By all accounts, 2024 will be a good year on the CIO hiring front.

IT 126

IT Data-driven Marketing Technology 126

IBM Big Data Hub

DECEMBER 5, 2023

Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content. This unstructured data forms the backbone for creating models and the ongoing training of generative AI, so it can stay effective over time. trillion on retail businesses through 2029. trillion in that year.

Unstructured Data 91

Unstructured Data Cost-Benefit Experimentation Machine Learning 91

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

O'Reilly on Data

JULY 28, 2020

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Fair warning: if the business lacks metrics, it probably also lacks discipline about data infrastructure, collection, governance, and much more.) Agreeing on metrics.

Marketing 361

Marketing Experimentation Metrics Testing 361

DataRobot Blog

JUNE 1, 2022

Showcasing the industry’s most innovative use of AI, this global event offers you the opportunity to learn from DataRobot data scientists—as well as AI pioneers from retailers like Shiseido Japan Co., DataRobot AIX has purpose-built content for business leads, data scientists, and IT leaders. Data Scientist-Driven Breakout Sessions.

Machine Learning 119

Machine Learning Data-driven Risk Management Risk 119

IBM Big Data Hub

APRIL 25, 2024

BPR examples are not one-time projects, but rather examples of a continuous journey of innovation and change focused on optimizing end-to-end processes and eliminating redundancies. The purpose of BPR is to streamline workflows , eliminate unnecessary steps and improve resource utilization.

Cost-Benefit 57

Cost-Benefit Finance Optimization Key Performance Indicator 57

CIO Business Intelligence

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). CIOs anticipate an increased focus on cybersecurity (70%), data analysis (55%), data privacy (55%), AI/machine learning (55%), and customer experience (53%).

IT 145

IT Insurance Machine Learning Marketing 145

CIO Business Intelligence

AUGUST 17, 2022

In less than five minutes, you can take hold of useful and relevant information that will help you make more insights-driven decisions over the next six months. Trend #1: Critical nature of data and cyber resilience in the face of increasing cyberattacks.

Enterprise 111

Enterprise Cost-Benefit Snapshot Data-driven 111