The Unofficial Google Data Science Blog

APRIL 23, 2024

If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). Figure 2: Spreading measurements out makes estimates of model (slope of line) more accurate.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

O'Reilly on Data

NOVEMBER 13, 2018

Considerations for a world where ML models are becoming mission critical. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. Before I continue, it’s important to emphasize that machine learning is much more than building models. Model lifecycle management.

Machine Learning 220

Machine Learning Risk Management Statistics 220

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

CIO Business Intelligence

JULY 23, 2023

Recently, Rocket Software surveyed 275 U.S.-based When respondents were asked what modernization imperatives are causing them to lose sleep at night, the need to improve overall IT performance (60%) topped the list, followed by data security (50%), process risk and compliance (46%), and the need to improve agility (41%).

Optimization 71

Optimization IT Digital Transformation Uncertainty 71

Smart Data Collective

OCTOBER 13, 2021

It’s similar to prices – price optimization through machine learning is a great tool to grow your revenue. Figuring out the best pricing model can be tricky. By processing and analyzing big amounts of data, they can help you establish optimized pricing plans. Hire machine learning to make optimal pricing decisions.

Machine Learning 126

Machine Learning Optimization Software Modeling 126

Smart Data Collective

FEBRUARY 14, 2023

Cloud computing is a term used to describe the use of computing resources, such as software, hardware, and storage, over the internet. However, it is important to understand the benefits and risks associated with cloud computing before making the commitment. An estimated 94% of enterprises rely on cloud computing.

Risk 98

Risk Cost-Benefit Software Technology 98

CIO Business Intelligence

DECEMBER 19, 2023

Their steady income stream and relatively low risk compared to equities make them an especially important component of pension and retirement planning. Each type of issuer presents a different level of risk and tax treatment. Hexaware conducted extensive fine-tuning to adapt the model to different industries and company types. “We

Risk 52

Risk Cost-Benefit Unstructured Data Data-driven 52

CIO Business Intelligence

NOVEMBER 16, 2023

A large language model (LLM) is a type of gen AI that focuses on text and code instead of images or audio, although some have begun to integrate different modalities. But there’s a problem with it — you can never be sure if the information you upload won’t be used to train the next generation of the model. Dig Security isn’t alone.

Modeling 132

Modeling Enterprise Marketing Sales 132

Smart Data Collective

MARCH 27, 2023

billion on AI in 2021 , but small businesses may spend even more on AI-driven financial management software. Some of the benefits of AI in banking include: Banks use AI bots to onboard clients and analyze borrower risk. Banks and other financial institutions are combining AI with other technologies to transform their business models.

Software 88

Software Finance Cost-Benefit Data-driven 88

Smart Data Collective

FEBRUARY 9, 2022

Luckily, there are a few analytics optimization strategies you can use to make life easy on your end. This is one of the biggest examples of the benefits of using software to improve your trading. Helps you to determine areas of abnormal losses and profits to optimize your trading algorithm.

Visualization 133

Visualization Optimization Analytics Testing 133

IBM Big Data Hub

MAY 1, 2023

However, regardless of your cloud cost optimization strategy, achieving operational excellence at scale and taking advantage of the elasticity of the cloud requires software that optimizes your consumption simultaneously for performance and cost—and makes it easy for you to automate it, safely and confidently.

Optimization 88

Optimization ROI Consulting Dashboards 88

erwin

JANUARY 9, 2020

For decades, data modeling has been the optimal way to design and deploy new relational databases with high-quality data sources and support application development. Today’s data modeling is not your father’s data modeling software. So here’s why data modeling is so critical to data governance.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

Smart Data Collective

JULY 20, 2022

A growing number of businesses use big data technology to optimize efficiency. While there are various interpretations or models to address such problems, Lean Thinking can contribute to the implementation of more optimal projects for a business. Data-driven decision-making has become a major element of modern business.

Data-driven 125

Data-driven Optimization Big Data Data Strategy 125

CIO Business Intelligence

MARCH 18, 2024

That means hardware designed from the ground up for maximum performance, data center integration, AI development support, optimal cooling, and easy vertical and horizontal scaling. ASUS optimizes these servers with three key capabilities. ASUS’ collaboration with AI chip leader NVIDIA makes this all possible.

Optimization 109

Optimization Software Risk Technology 109

IBM Big Data Hub

AUGUST 16, 2023

Nevertheless, I also understand the criticality of evaluating the inherent risks before embarking on its direct adoption within our organizations. In this discussion, I explore the risks and challenges associated with ChatGPT in an enterprise context, necessitating a careful approach to its implementation.

Risk 58

Risk Modeling Enterprise Interactive 58

Jet Global

SEPTEMBER 1, 2023

In this modern, turbulent market, predictive analytics has become a key feature for analytics software customers. But we’re also seeing its use expand in other industries, like Financial Services applications for credit risk assessment or Human Resources applications to identify employee trends.

Predictive Analytics 52

Predictive Analytics Risk Analytics Software 52

Laminar Security

DECEMBER 1, 2023

As more organizations migrate their data to the cloud, they face an increasing range of risks and threats, including data breaches, data leakage, data loss, data misuse, data compliance violations, shadow data and more. As the quantity of shadow data grows, so does the potential risk for a data breach.

Modeling 52

Modeling Cost-Benefit Risk Data-driven 52

CIO Business Intelligence

JUNE 23, 2023

To gain a better understanding of what IT leaders are focused on when it comes to modernization Rocket Software conducted a survey of 275 U.S.-based Respondents were asked about their current IT stressors, their approach to modernizing their IT infrastructure, and how they plan to become more efficient and optimized in the years ahead.

IT 95

IT Risk Management Risk Optimization 95

CIO Business Intelligence

APRIL 4, 2024

Like other CIOs, Katrina Redmond has been inundated with opportunities to deploy AI that promise to speed business and operations processes, and optimize workflows. The cost of implementing and running AI models can be quite high, so you have to be really careful in assessing the business worthiness of AI use cases,” he says.

Enterprise 130

Enterprise Cost-Benefit Forecasting Strategy 130

CIO Business Intelligence

FEBRUARY 15, 2024

As Henkel CDIO Michael Nilles puts it, by 2019, Marc Andreessen’s pronouncement that “software is eating the world” had come true for the CPG sector, and Henkel was at risk of falling behind. “We You have a highly complex data model, you need a lot of compute, and you need to have a really smart UI.”

B2B 131

B2B Optimization Machine Learning Software 131

Jedox

NOVEMBER 23, 2021

The last blog post from our guest authors at smartPM.solutions was about S&OP maturity and the classification of your current S&OP situation according to the 5-stage Gartner S&OP Maturity Model. 5 steps to optimize S&OP performance. Step 1 – Product portfolio optimization based on strategic company goals.

Optimization 74

Optimization Forecasting Sales Measurement 74

O'Reilly on Data

JULY 28, 2020

If this sounds fanciful, it’s not hard to find AI systems that took inappropriate actions because they optimized a poorly thought-out metric. You must detect when the model has become stale, and retrain it as necessary. As with traditional software, the best way to achieve your goals is to put something out there and iterate.

Marketing 362

Marketing Experimentation Metrics Testing 362

IBM Big Data Hub

DECEMBER 1, 2023

Enterprise resource planning (ERP) is a business management software built to do just that. ERP systems by deployment options Some of the more well-known ERP software offerings are SAP S/4HANA , Oracle Netsuite , Microsoft Azure , Infor CloudSuite and Acumatica Cloud ERP.

Enterprise 95

Enterprise Cost-Benefit Consulting Software 95

CIO Business Intelligence

JANUARY 30, 2024

Ultimately, these businesses run the increasing risk of falling behind in their markets. In this way, teams gain the ability to optimize value delivery and adapt more quickly. These digital operating models help enhance visibility, foster trust, and deliver tangible value.

Digital Transformation 134

Digital Transformation Metrics Enterprise Optimization 134

Jet Global

APRIL 5, 2021

Enterprises actively use financial modeling to guide their financial planning and strategic decision-making. Financial models offer data-driven, quantitative analysis that tells you where your company stands and where it’s heading. That being said, one model can’t do it all. What Is Financial Modeling? Risk management.

Modeling 98

Modeling Forecasting Metrics Finance 98

IBM Big Data Hub

FEBRUARY 7, 2024

Investors, regulators and stakeholders are increasingly demanding that companies disclose their exposure to climate-related risks , such as dependence on fossil fuels or vulnerability to weather events. 2 For example, some are turning to software solutions that can more easily capture, manage and report ESG data.

Reporting 99

Reporting Cost-Benefit Internet of Things Data-driven 99

CIO Business Intelligence

OCTOBER 26, 2023

In this past quarter, we saw good revenue growth in software and consulting,” IBM CEO Arvind Krishna said during an earnings call. This is helping drive solid growth in our software and consulting businesses. However, Krishna said that the company will provide indemnity coverage to support all its large language models.

Consulting 114

Consulting Software Enterprise Modeling 114

bridgei2i

SEPTEMBER 24, 2020

From supply chain optimization to automating recurring tasks, using chatbots and personalizing suggestions for improved customer service, and making the most of business intelligence for better decision making, AI is the go-to choice for most businesses, irrespective of the industry. However, risk management is no way lagging.

Risk Management 52

Risk Management Risk Enterprise Management 52

datapine

MAY 2, 2023

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. Your Chance: Want to test a professional logistics analytics software? A testament to the rising role of optimization in logistics.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

IBM Big Data Hub

FEBRUARY 13, 2024

This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Generative adversarial networks (GANs) or variational autoencoders (VAEs) are used for images, videos, 3D models and music. Autoregressive models or large language models (LLMs) are used for text and language.

Enterprise 125

Enterprise Modeling Testing Data-driven 125

CIO Business Intelligence

MAY 8, 2024

Process automation and improvement is a perennial CIO agenda item, and the call for business process optimization is only getting louder — especially for those processes directly tied to the bottom line. We take the financial risk for this, which means that if there is anything that’s misrepresented, the money comes from our pocket.”

IT 95

IT Cost-Benefit Insurance Unstructured Data 95

CIO Business Intelligence

OCTOBER 16, 2023

According to Forrester , GenAI will have an average annual growth rate of 36% up to 2030, capturing 55% of the AI software market. GenAI models can generate realistic images, compose music, write text, and even design virtual worlds. To learn how Rocket Software can help you modernize without disruption, click here.

Forecasting 120

Forecasting Machine Learning Software Data-driven 120

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. Models can be designed, for instance, to discover relationships between various behavior factors.

Predictive Analytics 140

Predictive Analytics Analytics Predictive Modeling Forecasting 140

Smart Data Collective

JUNE 7, 2019

However, recent advances in applying transfer learning to NLP allows us to train a custom language model in a matter of minutes on a modest GPU, using relatively small datasets,” writes author Euan Wielewski. Appreciating the Machine Learning Technology Behind Modern Task Management Software. Final Thoughts. Happy learning!

Machine Learning 78

Machine Learning Software Management Data-driven 78

CIO Business Intelligence

MARCH 18, 2024

How technology is used for social sustainability Governance and ethical practices: Data security and privacy technologies are critical for good governance, particularly in our digital-first world where cybersecurity risks are on the rise.

Manufacturing 111

Manufacturing Forecasting Technology Software 111

IBM Big Data Hub

MAY 16, 2024

However, IT decision makers remain concerned about the risks associated with their digital infrastructure and the impact they might have on business outcomes, with data breaches and security concerns being the biggest threats. The ability to access and process the necessary data yields optimal results from AI models.

Digital Transformation 53

Digital Transformation Risk Enterprise Modeling 53

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. AI models analyze vast amounts of data quickly and accurately.

B2B 58

B2B Interactive Optimization Forecasting 58