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. Experience building strategies like these have been  used by online retailers for years.

B2B 65

B2B Interactive Optimization Forecasting 65

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. But being an inquisitive Sherlock Holmes of data is no easy task. Source: mathworks.com.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Jet Global

AUGUST 24, 2020

iVEDiX was selected to service the Longview Analytics market in this extended partnership because of their unique history with current customers and their deep understanding of the platform, BI strategy, and customer needs. For more information, please visit the company’s website at ivedix.com.

IoT 80

IoT Analytics Deep Learning Digital Transformation 80

Smarten

JUNE 14, 2023

While it has only recently received public attention, this deep learning model architecture was launched more than five years ago by The American Artificial Intelligence Organization (OpenAI), and recent innovations like ChatGPT are based on the latest version of GPT (GPT-4). Contact Us to find out more.

Optimization 52

Optimization IT Digital Transformation Consulting 52

O'Reilly on Data

JULY 28, 2020

This tradeoff between impact and development difficulty is particularly relevant for products based on deep learning: breakthroughs often lead to unique, defensible, and highly lucrative products, but investing in products with a high chance of failure is an obvious risk.

Marketing 362

Marketing Experimentation Metrics Testing 362

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.” Invest in data hygiene and collection strategies to keep your engine running smoothly. Garbage in, garbage out.

Enterprise 118

Enterprise Modeling Testing Data-driven 118

Smart Data Collective

MARCH 27, 2023

They have also started integrated computer vision and deep learning technology to identify inefficiencies. While AI can have huge implications for large financial institutions, it is also changing the financial strategy for small businesses as well. Your analysts might have software designed to help with business forecasting.

Software 87

Software Finance Cost-Benefit Data-driven 87

CDW Research Hub

MAY 28, 2021

As we move forward, hybrid cloud continues to be the data storage strategy that helps organizations gain cost-effectiveness and increase data mobility between on-premises, public cloud and private cloud without compromising data integrity. A hybrid cloud strategy is also helping organizations gain better insights into their data.

Optimization 52

Optimization Deep Learning Enterprise Software 52

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

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 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends.

Enterprise 96

Enterprise Interactive Data-driven Key Performance Indicator 96

BizAcuity

APRIL 6, 2022

Crypto casinos need a solid operation strategy, an analytics platform and a fail-safe mechanism in place. If you would like to strengthen your data and BI strategy, BizAcuity can help you with the same. Moreover, there should be a powerful data management and analytics pipeline for operational usage. Contact Us.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

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

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. Deep Learning, a subset of AI algorithms, typically requires large amounts of human annotated data to be useful. Less will be analysed. Data annotation.

Unstructured Data 93

Unstructured Data Recreation/Entertainment Structured Data Reporting 93

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 Deep Learning 167

FineReport

OCTOBER 21, 2019

PowerBI is the only one among the top5 BI tools that support R, which uses the rich analytics and visualization power of R to present advanced data shaping and analytics such as forecasting. Con: Authority management issues. Con: Poor data handling capacity for free versions. Sisense also has an online community. BI features: pros & cons.

Visualization 91

Visualization Cost-Benefit Dashboards Software 91

DataRobot Blog

MAY 26, 2022

In this post, we will dive deeper into how members from both the first and second line of defense within a financial institution can adapt their model validation strategies in the context of modern ML methods. Furthermore, due to their relative simplicity in model structure, these models were very straightforward to interpret.

Risk 52

Risk Modeling Metrics Business Objectives 52

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

When these concerns loom too large to ignore, data scientists and practitioners will generally adopt one of a few suboptimal strategies. First, they might throw up their hands and pursue a non-machine-learned solution (say, some trusty if-statements). Deep learning models are usually composed of several functions, stacked together.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

BizAcuity

MARCH 31, 2022

AI Adoption and Data Strategy. Lack of a solid data strategy. In order to adopt AI solutions for your business, the best way forward is to first ensure that you have a strong data strategy in place. Data strategy allows you to build a roadmap to adopt AI. Worth a read if you are brainstorming on AI strategy.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

DataRobot Blog

SEPTEMBER 13, 2022

How can they help you determine strategy and attain your business goals? Many implement machine learning and artificial intelligence to tackle challenges in the age of Big Data. These might include—but are not limited to—deep learning, image recognition and natural language processing. What Do Data Scientists Do?

Forecasting 52

Forecasting Data-driven Machine Learning Optimization 52

CIO Business Intelligence

APRIL 1, 2022

These organizations run massive AI-driven simulations to forecast market conditions and make money when the market moves in a particular direction. To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use.

Data-driven 83

Data-driven Deep Learning Risk Optimization 83

IBM Big Data Hub

DECEMBER 20, 2023

Supervised machine learning Supervised machine learning is a type of machine learning where the model is trained on a labeled dataset (i.e., Supervised learning is commonly used for risk assessment, image recognition, predictive analytics and fraud detection, and comprises several types of algorithms.

Machine Learning 74

Machine Learning Modeling Deep Learning Predictive Modeling 74

CIO Business Intelligence

JANUARY 31, 2023

Energy Information Administration forecasts 47% higher global energy demand by 2050. [1] 3] (Download our infographic to learn more about recent trends.) To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use.

Deep Learning 99

Deep Learning Cost-Benefit Data-driven Manufacturing 99

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. Additionally, it’s crucial to consider the deployment and usage strategy for your AI platform.

Machine Learning 72

Machine Learning Manufacturing Cost-Benefit Deep Learning 72

BizAcuity

JUNE 16, 2022

Under this model, the strategy is to make use of both private (for highly confidential data) and public cloud infrastructure for cost and performance optimization. Single Cloud Strategy. Multi-Cloud Strategy. Here, the question changes to which applications would be best suited for the organization’s long term strategy.

Data-driven 52

Data-driven IoT Data Processing Optimization 52

Insight

MARCH 28, 2019

Because different investors will have different personal guidelines that shape their ESG strategies, John worked to make the dashboard view as information-rich as possible to maximize the value of his tool to a wide range of investors.

Dashboards 70

Dashboards Visualization Data Science Machine Learning 70

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). The study and analysis of data allows to improve the automation of processes, optimizing sales strategies and improving business efficiency.

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135