IBM Big Data Hub

MAY 17, 2024

They can provide valuable insights and forecasts to inform organizational decision-making in omnichannel commerce, enabling businesses to make more informed and data-driven decisions. According to a recent report from the IBM Institute for Business Value , half of CEOs are integrating generative AI into products and services.

B2B 65

B2B Interactive Optimization Forecasting 65

Smart Data Collective

FEBRUARY 26, 2023

In October, Gaurav Tewari of the Forbes Business Council reported that AI breakthroughs have had a monumental impact on modern business and consumer life. Tewari pointed out that “OpenAI’s GPT-3 or similar autoregressive language models that use deep learning to create human-like text.” The numbers are improving.

Software 98

Software Internet of Things IoT Deep Learning 98

Jet Global

AUGUST 24, 2020

Since Longview Solutions merged with arcplan in 2015, our joint clients have relied on iVEDiX expertise to maintain and buildout their reporting and analytics solutions. Its advanced analytics and deep learning engine packages expertise in big data, AI, mobility, connected assets, sensors and systems to deliver living data at your fingertips.

IoT 80

IoT Analytics Deep Learning Digital Transformation 80

datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. Source: mathworks.com.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

JUNE 13, 2022

A Forrester report commissioned by vendor ADA found that 95% of financial firms would like their chatbots to understand customer history with the company. Juniper Research forecasts that in 2023 the global operational cost savings from chatbots in banking will reach $7.3 However, only 55% said that their chatbots could do that today.

Data Processing 91

Data Processing Deep Learning Insurance Cost-Benefit 91

O'Reilly on Data

JULY 28, 2020

Many companies face a problem that’s even worse: no one knows which levers contribute to the metrics that impact business outcomes, or which metrics are important to the company (such as those reported to Wall Street by publicly-traded companies). It’s easy to focus on the wrong metric if you haven’t done the proper research.

Marketing 362

Marketing Experimentation Metrics Testing 362

Smart Data Collective

AUGUST 26, 2021

Deep learning technology is changing the future of small businesses around the world. A growing number of small businesses are using deep learning technology to address some of their most pressing challenges. New advances in deep learning are integrated into various accounting algorithms.

Deep Learning 95

Deep Learning Finance Cost-Benefit Advertising 95

Smart Data Collective

MARCH 27, 2023

Forbes author Rob Shevlin reports that chatbots will actually make bank branches obsolete. They have also started integrated computer vision and deep learning technology to identify inefficiencies. Your analysts might have software designed to help with business forecasting. It sounds expensive.

Software 87

Software Finance Cost-Benefit Data-driven 87

Jedox

JULY 31, 2018

First-generation EPM software tools enabled normal business users to view their data from various angles and store it safely in a database specialized for flexible planning, analytics, and reporting. Modern-day forecasting, for example, relies heavily on predictive analysis. This is known as prescriptive analytics.

Technology 44

Technology Prescriptive Analytics Machine Learning Business Intelligence 44

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. For example, the number of hyperscale centres is reported to have doubled between 2015 and 2020. Most of that data will be unstructured, and only about 10% will be stored.

Unstructured Data 91

Unstructured Data Recreation/Entertainment Structured Data Reporting 91

IBM Big Data Hub

FEBRUARY 14, 2024

See what’s ahead AI can assist with forecasting. Energy Companies in the energy sector can increase their cost competitiveness by harnessing AI and data analytics for demand forecasting, energy conservation, optimization of renewables and smart grid management.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

IBM Big Data Hub

FEBRUARY 13, 2024

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” Benefits include automatic task and subtask generation, leveraging historical project data to forecast timelines and requirements, note taking and risk prediction.

Enterprise 118

Enterprise Modeling Testing Data-driven 118

CDW Research Hub

MAY 28, 2021

A cloud environment coupled with AI learns from the data it gathers, makes predictions and troubleshoots problems before they occur. Machine learning and deep learning allow AI to make data storage processing easier by helping companies accumulate multiple layers of data in assorted formats and providing valuable insights into their data.

Optimization 52

Optimization Deep Learning Enterprise Software 52

FineReport

OCTOBER 21, 2019

Tableau lacks functionality required for a comprehensive business intelligence tool, such as large-scale reporting, the building of data tables, and static layouts. Pro: Easy to make complex reports. The capacity for dealing with complex reports is impressive. Con: Poor BI Capabilities . Con: Customized Issues .

Visualization 91

Visualization Cost-Benefit Dashboards Software 91

Sisense

APRIL 15, 2021

For example, a user with some basic insight into why data preparation — the first of the four main steps in ML mentioned above — is important to training an ML model will ensure greater accuracy in the forecasting outcomes generated by the model. Call centers already report that AI chatbots receive higher customer ratings than human agents!

Analytics 98

Analytics Data Science Modeling Machine Learning 98

DataRobot Blog

DECEMBER 15, 2022

AI-powered Time Series Forecasting may be the most powerful aspect of machine learning available today. Working from datasets you already have, a Time Series Forecasting model can help you better understand seasonality and cyclical behavior and make future-facing decisions, such as reducing inventory or staff planning.

Forecasting 81

Forecasting Modeling ROI Machine Learning 81

Smart Data Collective

SEPTEMBER 9, 2019

The majority of machine learning and deep learning solutions have focused on fundamental analysis of securities. However, deep learning and other artificial intelligence technologies will also change the future of technical analysis as well. New developments in deep learning with technical analysis.

Deep Learning 65

Deep Learning Forecasting Machine Learning Strategy 65

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”).

Analytics 167

Analytics Machine Learning Data Science Deep Learning 167

Cloudera

OCTOBER 26, 2022

?. It’s no secret that advancements like AI and machine learning (ML) can have a major impact on business operations. In Cloudera’s recent report Limitless: The Positive Power of AI , we found that 87% of business decision makers are achieving success through existing ML programs. Deep Learning for Anomaly Detection : ??

Machine Learning 77

Machine Learning Deep Learning Cost-Benefit Forecasting 77

DataRobot Blog

SEPTEMBER 13, 2022

These might include—but are not limited to—deep learning, image recognition and natural language processing. BARC ANALYST REPORT. Automation also makes AI-driven forecast models possible at scale, which further minimizes your costs by accurately forecasting demand. Download Now. Operationalization. Download Now.

Forecasting 52

Forecasting Data-driven Machine Learning Optimization 52

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. Inventory management : AI-powered demand forecasting apps and tools improve inventory control, reducing excess stock and stockouts compared to traditional methods.

Machine Learning 72

Machine Learning Manufacturing Cost-Benefit Deep Learning 72

BizAcuity

MARCH 31, 2022

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. The aim of predictive analytics is, as the name suggests, to predict and forecast outcomes. AI in Finance.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

IBM Big Data Hub

MAY 17, 2023

billion by 2029, at a CAGR of 28.58% in the forecast period. It promises end-to-end solutions to manage and monitor a fleet of drones, runs inspection missions to capture high-quality data, accesses inspection reports and derives actionable information through AI-driven analytics—all through a single platform.

Data Collection 77

Data Collection Visualization Data-driven Unstructured Data 77

datapine

NOVEMBER 19, 2019

Internal comms: Computer vision technology can serve to improve internal communication by empowering employees to perform their tasks more visually, sharing image-based information that is often more digestible and engaging than text-based reports or information alone. Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

O'Reilly on Data

MAY 21, 2019

Here are some typical ways organizations begin using machine learning: Build upon existing analytics use cases: e.g., one can use existing data sources for business intelligence and analytics, and use them in an ML application. Modernize existing applications such as recommenders, search ranking, time series forecasting, etc.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

Smart Data Collective

OCTOBER 13, 2021

Over time, it is true that artificial intelligence and deep learning models will be help process these massive amounts of data (in fact, this is already being done in some fields). In forecasting future events. However, there will always be a decisive human factor, at least for a few decades yet. Real-time information.

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135

Smart Data Collective

MAY 19, 2021

This trend is prevalent in the US, UK and further afield, with the former’s Bureau of Labour Statistics reporting that three of the jobs with the highest forecast growth level are wind turbine technician, registered nurse, and solar technician.

Data Analytics 89

Data Analytics Analytics Big Data Predictive Analytics 89