CIO Business Intelligence

JULY 5, 2022

It uses data mining, data modeling, and machine learning to answer “why” something happened and predict what might happen in the future. Predictive analytics is the use of techniques such as statistical modeling, forecasting, and machine learning to make predictions about future outcomes. This is the purview of BI.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Jedox

JANUARY 16, 2019

It gives me a chance to pause and review all the places I’ve been, all the CFOs I spoken with, and all the companies I’ve worked with over the past twelve months, to refine and distill what I believe are the top technological trends for financial planning & analysis in 2019. 3: Dynamic Planning, Budgeting and Forecasting.

Finance 45

Finance Forecasting Predictive Analytics Cost-Benefit 45

AWS Big Data

APRIL 26, 2023

The main requirement is to have an automated, transparent, and long-term semiconductor demand forecast. Additionally, this forecasting system needs to provide data enrichment steps including byproducts, serve as the master data around the semiconductor management, and enable further use cases at the BMW Group.

Forecasting 124

Forecasting Manufacturing Data Lake Big Data 124

DataRobot Blog

MARCH 17, 2022

In the face of this pressure, more and more companies are looking for ways to automate forecasting and empower front-line decision-makers with actionable insights. all users in your organization can create a no-code-required application that sits on top of a Time Series deployment for accessing actionable forecasts— within minutes.

Forecasting 52

Forecasting Machine Learning Data-driven Uncertainty 52

DataRobot

JUNE 29, 2021

Well, just imagine a production machine learning model that always stays accurate after it’s deployed—all by itself. Machine learning models trained on 2019 data didn’t know what to do. And you can do this continuously and on autopilot—an evolving system, continually learning and constantly improving itself.

Machine Learning 80

Machine Learning Data Processing Forecasting Modeling 80

Business Over Broadway

MAY 22, 2019

Also, loyalty leaders infuse analytics into CX programs, including machine learning, data science and data integration. Learn the basics of analytics; take a course in data science; this type of knowledge will help you understand the value of data and how AI/Machine Learning works.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

Alation

FEBRUARY 13, 2020

In an increasingly noisy data cataloging space, this recognition is a reminder that Alation continues to lead the pack with 100+ customers and a unique solution built on the combination of human collaboration and machine learning. IDC Innovators: Data Intelligence Software Platforms, 2019 Report. The Accolades Continue to Roll.

Machine Learning 52

Machine Learning Big Data Data Governance Digital Transformation 52

CIO Business Intelligence

JANUARY 4, 2023

billion in stock buybacks between 2017 and 2019. Looking beyond operations, do leaders and managers have collaboration tools, real-time reporting dashboards, and forecasting machine learning models to aid in decision-making? 31 what amounts to $428 million a year. How quickly can you realign operations during a crisis?

Digital Transformation 144

Digital Transformation Software Technology Modeling 144

CIO Business Intelligence

MAY 22, 2023

They can accomplish all types of optimization and can perform impressive forecasting. For example, if a company handles fraud detection with binary classification in machine learning with a support vector machine (SVM), it would try to solve the same problem on a quantum gate-based machine running a quantum SVM (QSVM).

ROI 52

ROI Machine Learning Optimization Cost-Benefit 52

Smart Data Collective

MAY 22, 2019

Marketers used to make decisions primarily off of conjecture because they didn’t have the detailed analytics capabilities that are available in 2019. In 2019, Pinterest has 250 million active users. Using machine learning to develop more engaging pictures. This is one of the biggest ways big data is changing marketing.

Optimization 78

Optimization Marketing Big Data Machine Learning 78

CIO Business Intelligence

JUNE 7, 2022

In business, when a trend is forecast to grow by more than 3000% and generate cost savings of $7.3 Those numbers represent the projected growth of chatbot interactions among banking customers between 2019 to 2023 and the cost savings from 862 hours less of work by support personnel, according to research by Juniper Research.

Unstructured Data 98

Unstructured Data Deep Learning Insurance Interactive 98

IBM Big Data Hub

MARCH 8, 2024

Since its release in 2019, 5G broadband technology has been hailed as a breakthrough technology with big implications for both consumers and businesses. However, due to significant improvements in latency, throughput and bandwidth, 5G is capable of much faster download and upload speeds than previous networks.

IoT 102

IoT Broadcasting Internet of Things Technology 102

Smart Data Collective

JULY 1, 2019

In 2019, a large number of crimes are solved and prosecuted with video evidence. Because machine learning can only detect patterns in the data that it is given, any bias in the original sample will only be amplified. Some of the implications of big data for the criminal justice system are a bit ambiguous.

Big Data 80

Big Data Cost-Benefit Predictive Analytics Machine Learning 80

CIO Business Intelligence

MARCH 22, 2022

He joined Publicis Media in 2019. In his new role, Ramamoorthy will lead technology and digital transformation for the bank, as well as be responsible for modern technologies such as APIs, AI and machine learning, and business intelligence. Purohit was IDG India’s CIO100 Hall of Fame winner in 2019. December 2019.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

IBM Big Data Hub

JULY 19, 2023

The explosion in digital data—in combination with declining availability of skilled and willing human resources to ingest and process the digital data in a compliant manner—is forcing life sciences organizations to explore AI, machine learning and now generative AI technologies. Why IBM Consulting for generative AI on AWS?

Consulting 62

Consulting Machine Learning Manufacturing Optimization 62

Smart Data Collective

MAY 8, 2019

Sales Forecasting. Fruitful marketing drives sales, a metric that’s easier to forecast and understand with the use of AI. It can show you a forecasting of the results of a certain metric, so you can determine if it’s worth the expense to do so. AI is Redefining the State of Marketing.

Marketing 110

Marketing Advertising Sales Forecasting 110

Smart Data Collective

NOVEMBER 12, 2021

Companies have found that data analytics and machine learning can help them in numerous ways. billion outsourcing tasks in 2019. One of the other benefits of data analytics is that it can help forecast future business activity. Big data technology has been instrumental in changing the direction of countless industries.

Data-driven 103

Data-driven Cost-Benefit Data mining Big Data 103

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

On the other hand, sophisticated machine learning models are flexible in their form but not easy to control. Introduction Machine learning models often behave unpredictably, as data scientists would be the first to tell you. A more general approach is to learn a Generalized Additive Model (GAM).

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

IBM Big Data Hub

MARCH 14, 2024

Since its rollout in 2019, 5G wireless networks have been growing in both availability and use cases. 5G has been hailed as a disruptive technology, comparable to artificial intelligence (AI ), machine learning (ML) and the Internet of Things (IoT) in terms of the kinds of change it will bring about.

Technology 60

Technology IoT Cost-Benefit Internet of Things 60

bridgei2i

JUNE 3, 2020

Gartner Consumer Values Survey, 2019. Pre-COVID-19 forecasts are no longer valid as the pandemic has entirely disrupted the market and firms would need to work on new models to predict patterns. See how BRIDGEi2i helped a large Consumer Electronics brand improve its Sales Forecasting with Machine Learning.

Technology 92

Technology Digital Transformation Recreation/Entertainment Manufacturing 92

Smart Data Collective

JULY 25, 2019

AI comes into play because the enterprise collects data from third-party sources and uses machine learning algorithms developed in-house to clean the information and cut out noise, making it more usable. For example, besides assisting with commercial underwriting needs, it works for fraud prevention and financial forecasting.

Big Data 85

Big Data Insurance Risk Cost-Benefit 85

Smart Data Collective

JANUARY 23, 2020

The hype surrounding augmented reality is showing no signs of slowing down either, with the Telegraph reporting that global spending on both AR and virtual reality technology is set to top £16 billion by the end of 2019 – representing a monumental increase of 68.8% on the year before.

Advertising 58

Advertising Interactive Forecasting Machine Learning 58

Sisense

DECEMBER 3, 2019

The merger of Periscope Data in May 2019 brings robust functionality for cloud data experts to work with their data as needed while supporting a wide breadth of users and use cases. With a single click, an ensemble of univariate forecast models run against your data. Unleash the power of advanced analytics. Talk to your data.

Data Warehouse 90

Data Warehouse Analytics Digital Transformation Forecasting 90

Jet Global

JULY 11, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software.

Business Intelligence 72

Business Intelligence Forecasting Data Warehouse Predictive Analytics 72

Cloudera

NOVEMBER 15, 2021

Seagate Technology forecasts that enterprise data will double from approximately 1 to 2 Petabytes (one Petabyte is 10^15 bytes) between 2020 and 2022. In 2019 OpenAI reported that the computational power used in the largest AI trainings has been doubling every 3.4 Less will be analysed. Computational requirements. months since 2012.

Unstructured Data 85

Unstructured Data Recreation/Entertainment Structured Data Reporting 85

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective. Our team does a lot of forecasting. It also owns Google’s internal time series forecasting platform described in an earlier blog post.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Jet Global

OCTOBER 1, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software.

Business Intelligence 40

Business Intelligence Forecasting Data Warehouse Predictive Analytics 40

Andrew White

APRIL 22, 2020

They will need to learn how to make such decisions in this landscape: from survival toward healing; the slow and gradual re-starting of economic and social activities; planning is now possible; new platforms will emerge to a) monitor for relapses toward crisis, and b) preservation of resilience capabilities.

Software 52

Software Uncertainty Measurement Marketing 52

datapine

DECEMBER 11, 2019

2019 was a breakthrough year for the SaaS world in many ways. Even if figures diverge somewhat, the many forecasts conducted on SaaS industry trends 2020 demonstrate an obvious reality: the SaaS market is going to get bigger and bigger. SaaS Industry is forecasted to reach $55 billion by 2026. How will AI improve SaaS in 2020?

Software 314

Software Cost-Benefit Data Processing Data-driven 314

Domino Data Lab

JUNE 2, 2019

Secondly, I talked backstage with Michelle, who got into the field by working on machine learning projects, though recently she led data infrastructure supporting data science teams. Ludwig (@RandiRLudwig) May 23, 2019. Just doing machine learning is not enough, and sometimes not even necessary.”. — Randi R.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

datapine

NOVEMBER 19, 2019

While we’ve seen traces of this in 2019, it’s in 2020 that computer vision will make a significant mark in both the consumer and business world. Already in our shortlist of tech buzzwords 2019, artificial intelligence is on the front scene for next year again. Artificial Intelligence (AI). Connected Retail. Hyperautomation.

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

AUGUST 28, 2023

The Internet of Things (IoT) – sensors and other technologies attached to objects – advanced analytics, and machine learning (ML) would all be applied to capture data. But the new age cloud solution would be different from everything that came before.

Digital Transformation 119

Digital Transformation Internet of Things Dashboards IoT 119

BizAcuity

MARCH 31, 2022

of organizations who participated in an executive survey back in 2019 claimed they are going to be investing in big data and AI. Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

datapine

OCTOBER 21, 2020

Then, they could use machine learning to find the most accurate algorithms that predicted future admissions trends. Analytics, already trending as one of the business intelligence buzzwords in 2019, has the potential to become part of a new strategy. 2) Electronic Health Records (EHRs).

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

IBM Big Data Hub

MARCH 4, 2024

First released by mobile phone companies in 2019, it relies on radio frequencies for data transmission like its predecessors 3G, 4G and 4G LTE networks. In this article, we’re going to look at some of the advantages and disadvantages of 5G networks so you can make an informed decision for your business. What is 5G?

IoT 99

IoT Internet of Things Technology Enterprise 99

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. and dig into details about where science meets rhetoric in data science. Modernists and structuralists beware. Friction ensued.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

O'Reilly on Data

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. I will highlight the results of a recent survey on machine learning adoption, and along the way describe recent trends in data and machine learning (ML) within companies.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238